From fcda26ebd6482fe9f7fdfed8fa7b907b73a6abc7 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 17:27:41 +0100 Subject: [PATCH 01/19] feat: Initialize AI Software Architect framework and baseline reviews - Set up .architecture directory with specialized reviewers and Pythonic principles - Conducted initial system analysis and comprehensive repository review - Added GEMINI.md for framework usage instructions Prompts: - Initialize architecture framework - Conduct comprehensive review of this repository Generated-by: Gemini --- .architecture/.claude-plugin/marketplace.json | 37 + .architecture/.claude-plugin/plugin.json | 22 + .architecture/.claude/skills/ARCHITECTURE.md | 324 +++ .architecture/.claude/skills/_patterns.md | 918 ++++++++ .../skills/architecture-review/SKILL.md | 132 ++ .../assets/review-template.md | 294 +++ .../references/pragmatic-integration.md | 298 +++ .../references/review-process.md | 241 +++ .../skills/architecture-status/SKILL.md | 230 ++ .../.claude/skills/create-adr/SKILL.md | 122 ++ .../.claude/skills/list-members/SKILL.md | 175 ++ .../.claude/skills/pragmatic-guard/SKILL.md | 152 ++ .../.claude/skills/setup-architect/SKILL.md | 195 ++ .../assets/initial-analysis-template.md | 400 ++++ .../assets/member-template.yml | 138 ++ .../references/customization-guide.md | 490 +++++ .../references/installation-procedures.md | 403 ++++ .../.claude/skills/specialist-review/SKILL.md | 199 ++ .../assets/specialist-review-template.md | 296 +++ .../references/specialist-perspectives.md | 511 +++++ .architecture/.coding-assistants/README.md | 84 + .../claude-code/claude-code.md | 1 + .../.coding-assistants/claude/CLAUDE.md | 91 + .../.coding-assistants/claude/README.md | 77 + .../.coding-assistants/codex/README.md | 57 + .../codex/setup-instructions.md | 206 ++ .../.coding-assistants/cursor/README.md | 96 + .../cursor/ai_software_architect_overview.mdc | 65 + .../cursor/ai_software_architect_reviews.mdc | 247 +++ .../cursor/ai_software_architect_setup.mdc | 70 + .../ai_software_architect_structure.mdc | 174 ++ .../cursor/ai_software_architect_usage.mdc | 125 ++ .../.coding-assistants/examples/README.md | 48 + .../examples/rails-project.md | 204 ++ .../.coding-assistants/templates/README.md | 89 + .../templates/claude-project-setup.md | 90 + .../templates/codex-project-setup.md | 163 ++ .../templates/cursor-project-setup.md | 133 ++ .../.coding-assistants/testing/README.md | 84 + .../testing/setup-verification.md | 174 ++ .../.github/workflows/claude-code-tests.yml | 419 ++++ .../.github/workflows/codex-tests.yml | 534 +++++ .architecture/.gitignore | 31 + .architecture/.mcp.json | 11 + .architecture/AGENTS.md | 418 ++++ .architecture/CHANGELOG.md | 190 ++ .architecture/CLAUDE-example.md | 147 ++ .architecture/CLAUDE.md | 126 ++ .architecture/TROUBLESHOOTING.md | 165 ++ .architecture/UPGRADE.md | 288 +++ .architecture/agent_docs/README.md | 186 ++ .architecture/agent_docs/reference.md | 485 +++++ .architecture/agent_docs/workflows.md | 387 ++++ .../claude-skills-deep-dive-comparison.md | 545 +++++ ...e-skills-enhancement-initiative-summary.md | 592 +++++ .../comparisons/claude-skills-takeaways.md | 250 +++ .../comparisons/phase-2-complete-summary.md | 570 +++++ .architecture/comparisons/phase-2-summary.md | 380 ++++ .../phase-2a-setup-architect-results.md | 385 ++++ .../phase-2b-specialist-review-results.md | 419 ++++ .../progressive-disclosure-poc-results.md | 351 +++ .architecture/config.yml | 393 ++++ .../decisions/ArchitectureConsiderations.md | 54 + .../decisions/PRAGMATIC-MODE-SUMMARY.md | 387 ++++ .../ADR-001-cli-functional-requirements.md | 138 ++ .../adrs/ADR-002-pragmatic-guard-mode.md | 456 ++++ .../ADR-003-agents-md-standard-adoption.md | 539 +++++ ...04-implementation-command-configuration.md | 560 +++++ ...05-llm-instruction-capacity-constraints.md | 263 +++ .../ADR-006-progressive-disclosure-pattern.md | 510 +++++ ...tool-permission-restrictions-for-skills.md | 298 +++ ...ive-disclosure-pattern-for-large-skills.md | 358 ++++ ...9-script-based-deterministic-operations.md | 349 +++ ...ternalizing-senior-engineering-thinking.md | 201 ++ ...laude-marketplace-plugin-implementation.md | 1657 ++++++++++++++ .../adrs/example-pragmatic-caching-layer.md | 379 ++++ .../exploration-pragmatic-guard-mode.md | 535 +++++ .../pragmatic-mode-integration-guide.md | 612 ++++++ .../pragmatic-mode-usage-examples.md | 1119 ++++++++++ .architecture/deferrals.md | 1364 ++++++++++++ .architecture/documentation-guidelines.md | 324 +++ .architecture/documentation-metrics.md | 166 ++ .../implementation/documentation-updates.md | 255 +++ .../implementation/plugin-files-created.md | 290 +++ .../instruction-counting-methodology.md | 311 +++ .architecture/mcp/.gitignore | 9 + .architecture/mcp/.npmignore | 22 + .architecture/mcp/README.md | 595 ++++++ .architecture/mcp/index.js | 1823 ++++++++++++++++ .architecture/mcp/package-lock.json | 229 ++ .architecture/mcp/package.json | 48 + .architecture/members.yml | 234 ++ .architecture/principles.md | 275 +++ .architecture/quarterly-review-process.md | 447 ++++ .architecture/recalibration/0-1-0.md | 96 + .../implementation_roadmap_0-1-0.md | 273 +++ .../instruction-capacity-optimization.md | 764 +++++++ .../recalibration/progress_tracking_0-1-0.md | 117 + .architecture/recalibration_process.md | 127 ++ .../claude-marketplace-requirements.md | 500 +++++ .architecture/reviews/0-1-0.md | 308 +++ .../reviews/claude-marketplace-plugin.md | 1900 +++++++++++++++++ ...de-md-best-practices-humanlayer-article.md | 714 +++++++ .../comprehensive-review-2026-03-15.md | 318 +++ .../reviews/example-pragmatic-api-feature.md | 336 +++ .../feature-claude-skills-implementation.md | 548 +++++ ...re-implementation-command-configuration.md | 1469 +++++++++++++ .../reviews/feature-parity-analysis.md | 609 ++++++ .../reviews/initial-system-analysis.md | 169 ++ ...agmatic-mode-post-implementation-review.md | 319 +++ .../progressive-disclosure-categorization.md | 337 +++ .../readme-pragmatic-implementation-docs.md | 1058 +++++++++ .architecture/templates/AGENTS.md | 244 +++ .architecture/templates/adr-template.md | 281 +++ .architecture/templates/config.yml | 393 ++++ .architecture/templates/deferrals.md | 338 +++ .../templates/implementation_roadmap.md | 125 ++ .architecture/templates/progress_tracking.md | 89 + .architecture/templates/recalibration_plan.md | 70 + .architecture/templates/review-template.md | 374 ++++ .architecture/templates/version_comparison.md | 156 ++ .architecture/tools/README.md | 184 ++ .architecture/tools/cli.js | 184 ++ .architecture/tools/package.json | 15 + .../tools/test/instruction-counter.test.js | 89 + .../tools/test/link-validator.test.js | 100 + GEMINI.md | 20 + 127 files changed, 42558 insertions(+) create mode 100644 .architecture/.claude-plugin/marketplace.json create mode 100644 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.architecture/tools/cli.js create mode 100644 .architecture/tools/package.json create mode 100644 .architecture/tools/test/instruction-counter.test.js create mode 100644 .architecture/tools/test/link-validator.test.js create mode 100644 GEMINI.md diff --git a/.architecture/.claude-plugin/marketplace.json b/.architecture/.claude-plugin/marketplace.json new file mode 100644 index 0000000..155e878 --- /dev/null +++ b/.architecture/.claude-plugin/marketplace.json @@ -0,0 +1,37 @@ +{ + "name": "ai-software-architect", + "owner": { + "name": "AI Software Architect Project" + }, + "metadata": { + "description": "Architecture documentation tools and frameworks", + "version": "1.3.0" + }, + "plugins": [ + { + "name": "ai-software-architect", + "source": "./", + "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", + "version": "1.3.0", + "author": { + "name": "AI Software Architect Project" + }, + "homepage": "https://github.com/anthropics/ai-software-architect", + "repository": "https://github.com/anthropics/ai-software-architect", + "license": "MIT", + "keywords": [ + "architecture", + "adr", + "architectural-decision-records", + "documentation", + "architecture-reviews", + "pragmatic-mode", + "yagni", + "software-design", + "claude-code", + "claude-plugin" + ], + "category": "development-tools" + } + ] +} diff --git a/.architecture/.claude-plugin/plugin.json b/.architecture/.claude-plugin/plugin.json new file mode 100644 index 0000000..7e2ed1f --- /dev/null +++ b/.architecture/.claude-plugin/plugin.json @@ -0,0 +1,22 @@ +{ + "name": "ai-software-architect", + "version": "1.3.0", + "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", + "author": { + "name": "AI Software Architect Project" + }, + "homepage": "https://github.com/anthropics/ai-software-architect", + "repository": "https://github.com/anthropics/ai-software-architect", + "license": "MIT", + "keywords": [ + "architecture", + "adr", + "documentation", + "reviews", + "decision-records", + "pragmatic-mode", + "claude-code", + "claude-plugin" + ], + "mcpServers": "./.mcp.json" +} diff --git a/.architecture/.claude/skills/ARCHITECTURE.md b/.architecture/.claude/skills/ARCHITECTURE.md new file mode 100644 index 0000000..37a39df --- /dev/null +++ b/.architecture/.claude/skills/ARCHITECTURE.md @@ -0,0 +1,324 @@ +# Claude Skills Architecture Documentation + +**Last Updated**: 2025-12-04 +**Version**: 1.0.0 + +## Overview + +This document describes the architecture and patterns for AI Software Architect Claude Skills, based on industry best practices documented in [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/). + +## Current Architecture + +### Skill Structure + +**Simple Skills (<2K words):** +``` +.claude/skills/ +├── _patterns.md # Shared patterns and common logic +├── skill-name/ +│ └── SKILL.md # YAML frontmatter + full workflow +``` + +**Complex Skills (Refactored with Progressive Disclosure):** +``` +.claude/skills/ +├── _patterns.md # Shared patterns +├── ARCHITECTURE.md # This file +├── architecture-review/ # ✅ Refactored (Phase 2 PoC) +│ ├── SKILL.md # High-level workflow (522 words) +│ ├── references/ # Detailed docs (2,243 words) +│ │ ├── review-process.md +│ │ └── pragmatic-integration.md +│ └── assets/ # Templates (992 words) +│ └── review-template.md +├── setup-architect/ # ✅ Refactored (Phase 2A) +│ ├── SKILL.md # High-level workflow (776 words) +│ ├── references/ # Detailed docs (2,997 words) +│ │ ├── installation-procedures.md +│ │ └── customization-guide.md +│ └── assets/ # Templates (1,240 words) +│ ├── initial-analysis-template.md +│ └── member-template.yml +├── specialist-review/ # ✅ Refactored (Phase 2B) +│ ├── SKILL.md # High-level workflow (827 words) +│ ├── references/ # Detailed docs (1,869 words) +│ │ └── specialist-perspectives.md +│ └── assets/ # Templates (875 words) +│ └── specialist-review-template.md +``` + +### YAML Frontmatter Structure + +All skills MUST include: + +```yaml +--- +name: skill-name # Unique identifier +description: | # Action-oriented description with trigger phrases + Clear description. Use when [trigger phrases]. + Do NOT use for [anti-patterns]. +allowed-tools: Read,Write,... # Comma-separated list of permitted tools +--- +``` + +## Tool Permission Model (ADR-007) + +**Status**: ✅ Implemented (2025-12-04) + +All skills now restrict tool access via `allowed-tools` frontmatter following principle of least privilege. + +### Tool Permission Guidelines + +**Available Tools:** +- `Read`: Read files from filesystem +- `Write`: Create new files +- `Edit`: Modify existing files +- `Glob`: Pattern-based file searching +- `Grep`: Content searching +- `Bash`: Execute bash commands (can be scoped with wildcards) + +**Scoping Bash Commands:** +- `Bash(git:*)`: Only git commands +- `Bash(ls:*,grep:*)`: Only ls and grep commands +- `Bash`: Full bash access (use sparingly) + +### Current Tool Assignments + +| Skill | Allowed Tools | Rationale | +|-------|--------------|-----------| +| `list-members` | `Read` | Only reads members.yml | +| `architecture-status` | `Read,Glob,Grep` | Reads files and searches for patterns | +| `create-adr` | `Read,Write,Bash(ls:*,grep:*)` | Reads templates, writes ADRs, scans for numbering | +| `specialist-review` | `Read,Write,Glob,Grep` | Reads code, writes reviews, searches | +| `architecture-review` | `Read,Write,Glob,Grep,Bash(git:*)` | Full review capabilities + git status | +| `pragmatic-guard` | `Read,Edit` | Reads config, edits to enable mode | +| `setup-architect` | `Read,Write,Edit,Glob,Grep,Bash` | Broad access for installation | + +## Progressive Disclosure Pattern (ADR-008) + +**Status**: ✅ Implemented (Phase 2 Complete - 2025-12-04) + +### Complexity Thresholds + +| Word Count | Approach | Structure | +|-----------|----------|-----------| +| < 2,000 words | Flat file | SKILL.md only | +| 2,000 - 3,000 | Monitor | Consider refactoring if frequently modified | +| > 3,000 words | Progressive disclosure | SKILL.md + /references/ + /assets/ | + +### Current Skill Sizes + +| Skill | Original | Base (After) | Total (After) | Status | Structure | +|-------|----------|--------------|---------------|--------|-----------| +| `architecture-review` | 791 | 522 | 3,757 | ✅ Refactored | /references/ + /assets/ | +| `setup-architect` | 813 | 776 | 4,837 | ✅ Refactored | /references/ + /assets/ | +| `specialist-review` | 826 | 827 | 3,571 | ✅ Refactored | /references/ + /assets/ | +| `create-adr` | 2,400 | - | - | 📊 Monitor | Flat file (monitor growth) | +| `pragmatic-guard` | 1,200 | - | - | ✅ Optimal | Flat file | +| `architecture-status` | 800 | - | - | ✅ Optimal | Flat file | +| `list-members` | 200 | - | - | ✅ Optimal | Flat file | + +### Progressive Disclosure Benefits (Proven) + +**Token Efficiency**: Variable by starting optimization level +- architecture-review: 34% base reduction (791 → 522 words) +- setup-architect: 5% base reduction (813 → 776 words) +- specialist-review: 0% base reduction (826 → 827 words) +- **Average**: 13% base reduction +- **Annual savings**: ~18,380 tokens/year (estimated) + +**Content Expansion**: Massive increase in available detail +- architecture-review: +375% (791 → 3,757 words) +- setup-architect: +494% (813 → 4,837 words) +- specialist-review: +332% (826 → 3,571 words) +- **Average**: +400% content expansion + +**Maintainability**: Dramatically improved through modular structure +- 9 new reference and asset files created +- Clear separation: workflow vs procedures vs templates +- Easy to update specific sections without affecting core workflow +- Improved navigation and discoverability + +**Scalability**: Skills can provide comprehensive guidance without base bloat + +**Key Insight**: Pattern delivers value through multiple dimensions beyond token savings. Even skills with no base reduction (specialist-review) gain significant value through content expansion (332%) and improved maintainability. + +## Script-Based Operations (ADR-009) + +**Status**: ⏸️ Deferred - Waiting for trigger conditions + +### When to Use Scripts + +**Trigger Conditions (any one):** +1. Bash command construction causes bugs +2. ADR numbering conflicts occur +3. Third deterministic operation identified +4. Security concern with command construction + +**Candidates for Scripts:** +- ADR numbering (scan directory, find highest, increment) +- Member YAML parsing (parse and format) +- Version validation (check format, sanitize) +- Filename sanitization (remove dangerous chars) + +### Script Pattern (When Implemented) + +```bash +#!/bin/bash +# .claude/skills/scripts/next-adr-number.sh +# Usage: next-adr-number.sh [path-to-adrs-dir] +# Returns: Next ADR number (3 digits) + +# Input validation +# Deterministic logic +# Error handling +# Predictable output +``` + +## Skill Development Guidelines + +### Creating a New Skill + +1. **Determine Complexity**: + - Will it be >2K words? Consider progressive disclosure from start + - Does it need deterministic operations? Consider scripts if triggers met + +2. **Define Tool Permissions**: + - List actual tools needed + - Use principle of least privilege + - Scope Bash with wildcards where appropriate + +3. **Write YAML Frontmatter**: + ```yaml + --- + name: skill-name + description: | + Action-oriented description with trigger phrases. + Use when [specific user requests]. + Do NOT use for [anti-patterns]. + allowed-tools: Read,Write,... + --- + ``` + +4. **Structure Content**: + - High-level workflow in SKILL.md + - Reference `_patterns.md` for common operations + - Use `/references/` if skill >3K words + - Bundle templates in `/assets/` if needed + +5. **Document Related Skills**: + - Link to skills that should be used before/after + - Provide workflow examples + +### Modifying an Existing Skill + +1. **Check Current Size**: + - If approaching 3K words, consider splitting + +2. **Update Tool Permissions If Needed**: + - Add tools if new capabilities required + - Still follow least privilege + +3. **Maintain Consistency**: + - Follow established patterns + - Reference `_patterns.md` for common logic + +## Common Patterns + +See `.claude/skills/_patterns.md` for detailed patterns: + +- **Input Validation & Sanitization**: Filename sanitization, version validation +- **Error Handling**: Framework not set up, file not found, permission errors +- **File Loading**: Configuration, members, ADR lists +- **Reporting**: Success reports, status reports, review reports +- **Security**: Destructive operations safety, directory validation + +## Testing Skills + +### Manual Testing Checklist + +- [ ] Invoke skill with typical use cases +- [ ] Test with edge cases (large inputs, missing files, etc.) +- [ ] Verify tool permissions don't block required operations +- [ ] Check error handling for missing dependencies +- [ ] Validate output format and content +- [ ] Test related skill workflows + +### Security Testing + +- [ ] Attempt path traversal in inputs +- [ ] Try command injection in string parameters +- [ ] Verify sanitization patterns applied +- [ ] Check tool restrictions enforced + +## Migration Path + +### Phase 1: Tool Permissions (✅ Complete - 2025-12-04) +- [x] Add `allowed-tools` to all skills +- [x] Document pattern in this file +- [x] Create ADR-007 + +### Phase 2: Progressive Disclosure (✅ Complete - 2025-12-04) +- [x] Refactor `architecture-review` as proof of concept (PoC) +- [x] Measure token savings and usability +- [x] Decide on broader adoption (approved) +- [x] Refactor `setup-architect` (Phase 2A) +- [x] Refactor `specialist-review` (Phase 2B) +- [x] Document results and learnings + +**Results Summary:** +- 3 skills refactored with progressive disclosure pattern +- 13% average base reduction, 400% average content expansion +- Pattern validated across orchestration, setup, and analysis skill types +- Dramatically improved maintainability through modular structure + +**Detailed Results:** +- [Phase 2 PoC Results](./.././../architecture/comparisons/progressive-disclosure-poc-results.md) +- [Phase 2A Results](../../.architecture/comparisons/phase-2a-setup-architect-results.md) +- [Phase 2B Results](../../.architecture/comparisons/phase-2b-specialist-review-results.md) +- [Phase 2 Complete Summary](../../.architecture/comparisons/phase-2-complete-summary.md) + +### Phase 3: Script Infrastructure (⏸️ Deferred) +- [ ] Wait for trigger conditions +- [ ] Create `/scripts/` directory structure +- [ ] Implement first script with tests +- [ ] Document script API + +## Decision Records + +All architectural decisions documented: + +- **[ADR-007](../../.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md)**: Tool Permission Restrictions (Implemented) +- **[ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md)**: Progressive Disclosure Pattern (Implemented - Phase 2 Complete) +- **[ADR-009](../../.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md)**: Script-Based Operations (Accepted - Deferred) + +## External References + +- [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) - Industry best practices +- [Claude Skills Comparison Review](../../.architecture/comparisons/claude-skills-deep-dive-comparison.md) - Our implementation vs blog +- [Claude Skills Takeaways](../../.architecture/comparisons/claude-skills-takeaways.md) - Action items and recommendations + +## Contributing + +When contributing to skills: + +1. Review this architecture document +2. Follow established patterns from `_patterns.md` +3. Apply appropriate complexity level for skill size +4. Test thoroughly before committing +5. Update documentation if adding new patterns + +## Questions? + +- **"When should I use progressive disclosure?"** - When skill has distinct workflow vs detailed guidance sections, especially if >2K words. Pattern delivers value through content expansion and maintainability even without token savings. +- **"Will progressive disclosure save tokens?"** - Variable (0-34% based on starting optimization). Main value is in content expansion (300%+) and maintainability improvements. +- **"Do I need scripts?"** - Not yet, wait for trigger conditions (ADR-009) +- **"What tools can my skill use?"** - Only those needed; follow least privilege +- **"How do I test my skill?"** - Follow manual testing checklist above +- **"Can I reference other skills?"** - Yes, document in "Related Skills" section +- **"Should I refactor my skill now?"** - If >2K words with clear workflow vs detail separation, consider it. See Phase 2 results for expected outcomes. + +--- + +**Maintained By**: AI Software Architect Framework Contributors +**Questions/Issues**: See [GitHub Issues](https://github.com/codenamev/ai-software-architect/issues) diff --git a/.architecture/.claude/skills/_patterns.md b/.architecture/.claude/skills/_patterns.md new file mode 100644 index 0000000..429e139 --- /dev/null +++ b/.architecture/.claude/skills/_patterns.md @@ -0,0 +1,918 @@ +# Claude Skills Common Patterns + +This document contains reusable patterns referenced by AI Software Architect skills. These patterns promote consistency and reduce duplication across skills. + +**Note**: This is a reference document, not a skill itself. It does not have YAML frontmatter. + +## Table of Contents + +1. [Tool Permission Pattern](#tool-permission-pattern) +2. [Progressive Disclosure Pattern](#progressive-disclosure-pattern) +3. [Input Validation & Sanitization](#input-validation--sanitization) +4. [Error Handling](#error-handling) +5. [File Loading](#file-loading) +6. [Reporting Format](#reporting-format) +7. [Skill Workflow Template](#skill-workflow-template) + +--- + +## Tool Permission Pattern + +**Status**: ✅ Implemented across all skills (2025-12-04) +**Reference**: [ADR-007](../../.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) + +All skills MUST declare tool permissions via `allowed-tools` in YAML frontmatter. This implements principle of least privilege and limits blast radius of skill malfunctions. + +### Available Tools + +- **Read**: Read files from filesystem +- **Write**: Create new files +- **Edit**: Modify existing files +- **Glob**: Pattern-based file searching +- **Grep**: Content searching within files +- **Bash**: Execute bash commands (can be scoped) + +### Permission Guidelines + +**Principle of Least Privilege**: Only grant tools actually required for skill operation. + +**Bash Scoping**: Use wildcards to restrict bash commands: +- `Bash(git:*)` - Only git commands +- `Bash(ls:*,grep:*)` - Only ls and grep +- `Bash(npm:*,node:*)` - Only npm and node +- `Bash` - Full bash access (use sparingly) + +### Permission Levels by Skill Type + +**Read-Only Skills** (listing, status checks): +```yaml +allowed-tools: Read +``` + +**Search & Analysis Skills** (scanning, reporting): +```yaml +allowed-tools: Read,Glob,Grep +``` + +**Document Creation Skills** (ADRs, reviews): +```yaml +allowed-tools: Read,Write,Bash(ls:*,grep:*) +``` + +**Document Modification Skills** (updates, edits): +```yaml +allowed-tools: Read,Write,Edit,Glob,Grep +``` + +**Review & Analysis Skills** (comprehensive reviews): +```yaml +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) +``` + +**Configuration Skills** (mode toggles): +```yaml +allowed-tools: Read,Edit +``` + +**Setup & Installation Skills** (framework setup): +```yaml +allowed-tools: Read,Write,Edit,Glob,Grep,Bash +``` + +### Current Skill Permissions + +| Skill | Tools | Rationale | +|-------|-------|-----------| +| `list-members` | `Read` | Only reads members.yml | +| `architecture-status` | `Read,Glob,Grep` | Scans files and searches | +| `create-adr` | `Read,Write,Bash(ls:*,grep:*)` | Creates ADRs, scans for numbering | +| `specialist-review` | `Read,Write,Glob,Grep` | Reviews code, writes reports | +| `architecture-review` | `Read,Write,Glob,Grep,Bash(git:*)` | Full reviews + git status | +| `pragmatic-guard` | `Read,Edit` | Reads/modifies config | +| `setup-architect` | `Read,Write,Edit,Glob,Grep,Bash` | Full installation access | + +### Adding Permissions to New Skills + +When creating a new skill, determine required tools: + +1. **List required operations**: + - Need to read files? → `Read` + - Need to create files? → `Write` + - Need to modify files? → `Edit` + - Need to search by pattern? → `Glob` + - Need to search content? → `Grep` + - Need bash commands? → `Bash(scoped:*)` or `Bash` + +2. **Apply minimum necessary set**: + - Start with minimal permissions + - Add only when operation actually requires it + - Scope Bash to specific command families + +3. **Add to frontmatter**: + ```yaml + --- + name: skill-name + description: ... + allowed-tools: Read,Write,Grep + --- + ``` + +4. **Test thoroughly**: + - Verify skill can perform all operations + - Confirm no permission errors + - Test edge cases + +### Security Considerations + +**Path Traversal**: Tools like Read, Write, Edit are bounded by Claude Code's security model, but skills should still validate user inputs. + +**Command Injection**: When using Bash, always sanitize user inputs using filename sanitization patterns. + +**Wildcard Safety**: Bash scoping reduces but doesn't eliminate risks. Still apply input validation. + +**Audit Regularly**: Review tool permissions when modifying skills to ensure they still follow least privilege. + +### Troubleshooting Permission Errors + +**Error: "Tool X not allowed"** +- Check skill's `allowed-tools` frontmatter +- Add required tool if operation is legitimate +- Consider if operation can be done with allowed tools + +**Error: "Bash command not allowed"** +- If using `Bash(scoped:*)`, ensure command matches scope +- Consider broadening scope: `Bash(git:*,npm:*)` +- As last resort, use full `Bash` access (document why) + +**Permission Too Broad?** +- Review actual tool usage in skill +- Remove unused tools from `allowed-tools` +- Narrow Bash scoping if possible + +--- + +## Progressive Disclosure Pattern + +**Status**: ✅ Implemented (Phase 2 Complete - 2025-12-04) +**Reference**: [ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +Organize complex skills into modular structure: high-level workflow + detailed references + templates. This pattern improves token efficiency, enables content expansion, and dramatically improves maintainability. + +### When to Use Progressive Disclosure + +**Apply pattern when:** +- Skill has distinct workflow vs detailed guidance sections +- Skill >2K words or contains extensive procedural detail +- Skill includes templates that could be extracted +- Future expansion anticipated (tech stacks, examples, checklists) +- Clear separation would improve navigability + +**Keep as flat file when:** +- Skill <2K words with homogeneous content +- Simple reporting or trivial operation +- No clear workflow vs detail separation +- Overhead exceeds benefits + +### Pattern Structure + +``` +skill-name/ +├── SKILL.md # High-level workflow (always loaded) +├── references/ # Detailed docs (loaded on-demand) +│ ├── detailed-process.md # Step-by-step procedures +│ └── integration-guide.md # Configuration and customization +└── assets/ # Templates and static files + └── template.md # Ready-to-use templates +``` + +### SKILL.md (Base Workflow) + +**Purpose**: High-level workflow that's always injected into context + +**Content**: +- YAML frontmatter (name, description, allowed-tools) +- Overview of skill purpose +- High-level workflow steps (numbered) +- Clear references to detailed docs +- Related skills and workflow examples + +**Size Target**: Keep concise - aim for 500-1000 words + +**Example Structure**: +```markdown +--- +name: skill-name +description: Clear description with trigger phrases +allowed-tools: Read,Write,Glob,Grep +--- + +# Skill Title + +Brief description of what this skill does. + +## Overview + +High-level summary (3-5 bullets) + +**Detailed guidance**: [references/detailed-process.md](references/detailed-process.md) +**Template**: [assets/template.md](assets/template.md) + +## High-Level Workflow + +### 1. [Step Name] +Brief description +- Key action +- Key action + +**Detailed procedures**: See [references/detailed-process.md § Step 1] + +### 2. [Step Name] +Brief description + +[Continue with high-level steps] + +## Related Skills +[References to before/after skills] +``` + +### references/ (Detailed Documentation) + +**Purpose**: Comprehensive guidance loaded only when needed + +**Content Types**: +- **Process details**: Step-by-step procedures with verification +- **Integration guides**: Configuration options and customization +- **Specialist guidance**: Expert perspectives and checklists +- **Best practices**: Industry standards and patterns +- **Examples**: Code samples, scenarios, use cases + +**Organization**: +- 1-3 focused reference files per skill +- Each file covers a distinct aspect +- Clear section headers for easy navigation +- Cross-reference to templates when relevant + +**Example references/detailed-process.md**: +```markdown +# Detailed Process: [Skill Name] + +## Prerequisites + +[Requirements and verification steps] + +## Step 1: [Name] + +**Purpose**: [Why this step] + +**Procedure**: +1. [Action] +2. [Action with bash example if needed] +3. [Verification step] + +**Common Issues**: +- [Issue]: [Solution] + +**Example**: +[Code or command example] + +[Continue with remaining steps in detail] +``` + +### assets/ (Templates) + +**Purpose**: Ready-to-use templates and static files + +**Content Types**: +- Document templates (ADRs, reviews, reports) +- Configuration templates (YAML, JSON) +- Code snippets or boilerplate + +**Format**: +- Complete, fillable templates +- Include placeholder text in [brackets] +- Add comments explaining each section +- Provide examples where helpful + +**Example assets/template.md**: +```markdown +# [Template Title] + +**[Field]**: [Value or placeholder] +**[Field]**: [Value] + +## [Section Name] + +[Guidance for filling this section] + +[Example or placeholder content] + +[Continue with complete template structure] +``` + +### Phase 2 Results (Proven Benefits) + +**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) + +**Token Efficiency**: +- Variable by starting optimization: 0-34% base reduction +- Average: 13% base reduction across 3 skills +- Annual savings: ~18,380 tokens/year (estimated) + +**Content Expansion**: +- Consistent 300%+ increase per skill +- architecture-review: +375% (791 → 3,757 words) +- setup-architect: +494% (813 → 4,837 words) +- specialist-review: +332% (826 → 3,571 words) +- Average: +400% content expansion + +**Maintainability**: +- 9 new reference and asset files created +- Clear separation: workflow vs procedures vs templates +- Isolated updates without affecting core workflow +- Dramatically improved navigation + +**Key Insight**: Pattern delivers value through multiple dimensions beyond token savings. Even skills with no base reduction gain significant value through content expansion and improved maintainability. + +### Implementation Guidelines + +**1. Analyze Current Skill**: +- Identify workflow steps (high-level) +- Identify detailed procedures (low-level) +- Identify templates embedded inline +- Determine natural separation points + +**2. Create Directory Structure**: +```bash +mkdir -p .claude/skills/skill-name/references +mkdir -p .claude/skills/skill-name/assets +``` + +**3. Extract Content**: +- **To SKILL.md**: Keep workflow, overview, high-level steps +- **To references/**: Move detailed procedures, comprehensive guides +- **To assets/**: Extract templates, configurations + +**4. Add References**: +- Link from SKILL.md to references with relative paths +- Use descriptive section anchors: `references/file.md § Section` +- Keep references concise and navigable + +**5. Test Loading**: +- Verify all reference links work +- Test skill execution with minimal loading +- Test skill execution with full reference loading +- Confirm templates are accessible + +**6. Measure Results**: +- Count words: before vs after (base and total) +- Estimate token savings +- Assess maintainability improvement +- Document in comparisons/ + +### Refactoring Checklist + +- [ ] Skill has clear workflow vs detail separation +- [ ] Created /references/ and /assets/ directories +- [ ] Extracted detailed procedures to references/ +- [ ] Extracted templates to assets/ +- [ ] Streamlined SKILL.md to high-level workflow +- [ ] Added clear references from SKILL.md to detailed docs +- [ ] Updated YAML frontmatter (name, description, allowed-tools) +- [ ] Tested skill execution +- [ ] Verified reference links work +- [ ] Measured before/after metrics (words, tokens) +- [ ] Documented results in .architecture/comparisons/ +- [ ] Updated ARCHITECTURE.md with new structure + +### Best Practices + +**Do**: +- Keep SKILL.md focused on workflow +- Make references/ comprehensive and detailed +- Extract templates to assets/ for reusability +- Use clear, descriptive file names +- Cross-reference between files appropriately +- Test all links after refactoring + +**Don't**: +- Duplicate content between SKILL.md and references/ +- Over-fragment (too many small reference files) +- Break mid-workflow (keep logical steps together) +- Forget to update allowed-tools in frontmatter +- Skip measuring and documenting results + +### Migration Path + +**Existing flat file skill** → **Progressive disclosure**: + +1. Read current SKILL.md and analyze content +2. Create directory structure (references/, assets/) +3. Extract detailed content to references/ +4. Extract templates to assets/ +5. Rewrite SKILL.md as high-level workflow with references +6. Test and verify +7. Measure and document results + +**Estimated effort**: 2-3 hours per skill + +### References + +- [Phase 2 PoC Results](../../.architecture/comparisons/progressive-disclosure-poc-results.md) +- [Phase 2A Results](../../.architecture/comparisons/phase-2a-setup-architect-results.md) +- [Phase 2B Results](../../.architecture/comparisons/phase-2b-specialist-review-results.md) +- [Phase 2 Complete Summary](../../.architecture/comparisons/phase-2-complete-summary.md) +- [ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +--- + +## Input Validation & Sanitization + +### Filename Sanitization Pattern + +Use when converting user input to filenames: + +``` +**Validate and Sanitize Input**: +- Remove path traversal: `..`, `/`, `\` +- Remove dangerous characters: null bytes, control characters +- Convert to lowercase kebab-case: + - Spaces → hyphens + - Remove special characters except hyphens and alphanumerics +- Limit length: max 80-100 characters +- Validate result matches: [a-z0-9-] pattern + +**Examples**: +✅ Valid: "User Authentication" → `user-authentication` +✅ Valid: "React Frontend" → `react-frontend` +❌ Invalid blocked: "../../../etc/passwd" → rejected +❌ Invalid blocked: "test\x00file" → rejected +``` + +### Version Number Validation Pattern + +Use for semantic version numbers: + +``` +**Version Validation**: +- Format: X.Y.Z (e.g., 1.2.3) +- Allow only: digits (0-9) and dots (.) +- Validate: 1-3 numeric segments separated by dots +- Convert dots to hyphens for filenames: 1.2.3 → 1-2-3 + +**Examples**: +✅ Valid: "2.1.0" → `2-1-0` +✅ Valid: "1.0" → `1-0` +❌ Invalid: "v2.1.0" → strip 'v' prefix +❌ Invalid: "2.1.0-beta" → reject or sanitize +``` + +### Specialist Role Validation Pattern + +Use for specialist role names: + +``` +**Role Validation**: +- Allow: letters, numbers, spaces, hyphens +- Convert to title case for display +- Convert to kebab-case for filenames +- Common roles: Security Specialist, Performance Expert, Domain Expert + +**Examples**: +✅ Valid: "Security Specialist" → display as-is, file: `security-specialist` +✅ Valid: "Ruby Expert" → display as-is, file: `ruby-expert` +❌ Invalid: "Security/Admin" → sanitize to `security-admin` +``` + +--- + +## Error Handling + +### Framework Not Set Up Pattern + +Use when .architecture/ doesn't exist: + +```markdown +The AI Software Architect framework is not set up yet. + +To get started: "Setup ai-software-architect" + +Once set up, you'll have: +- Architectural Decision Records (ADRs) +- Architecture reviews with specialized perspectives +- Team of architecture specialists +- Documentation tracking and status monitoring +``` + +### File Not Found Pattern + +Use when required files are missing: + +```markdown +Could not find [file/directory name]. + +This usually means: +1. Framework may not be set up: "Setup ai-software-architect" +2. File was moved or deleted +3. Wrong directory + +Expected location: [path] +``` + +### Permission Error Pattern + +Use for file system permission issues: + +```markdown +Permission denied accessing [file/path]. + +Please check: +1. File permissions: chmod +r [file] +2. Directory permissions: chmod +rx [directory] +3. You have access to this project directory +``` + +### Malformed YAML Pattern + +Use when YAML parsing fails: + +```markdown +Error reading [file]: YAML syntax error + +Common issues: +- Incorrect indentation (use spaces, not tabs) +- Missing quotes around special characters +- Unclosed strings or brackets + +Please check file syntax or restore from template: +[path to template] +``` + +--- + +## File Loading + +### Load Configuration Pattern + +Use for loading config.yml: + +``` +1. Check if `.architecture/config.yml` exists +2. If missing: Use default configuration (pragmatic_mode: disabled) +3. If exists: Parse YAML +4. Extract relevant settings: + - pragmatic_mode.enabled (boolean) + - pragmatic_mode.intensity (strict|balanced|lenient) + - Other mode-specific settings +5. Handle errors gracefully (malformed YAML → use defaults) +``` + +### Load Members Pattern + +Use for loading members.yml: + +``` +1. Check if `.architecture/members.yml` exists +2. If missing: Offer framework setup +3. If exists: Parse YAML +4. Extract member information: + - id, name, title (required) + - specialties, disciplines, skillsets, domains (arrays) + - perspective (string) +5. Validate structure (warn about missing fields) +6. Return array of member objects +``` + +### Load ADR List Pattern + +Use for scanning ADR directory: + +``` +1. Check `.architecture/decisions/adrs/` exists +2. List files matching: ADR-[0-9]+-*.md +3. Extract ADR numbers and titles from filenames +4. Sort by ADR number (numeric sort) +5. Optionally read file headers for: + - Status (Proposed, Accepted, Deprecated, Superseded) + - Date + - Summary +6. Return sorted list with metadata +``` + +--- + +## Reporting Format + +### Success Report Pattern + +Use after successfully completing a skill task: + +```markdown +[Skill Action] Complete: [Target] + +Location: [file path] +[Key metric]: [value] + +Key Points: +- [Point 1] +- [Point 2] +- [Point 3] + +Next Steps: +- [Action 1] +- [Action 2] +``` + +**Example**: +```markdown +ADR Created: Use PostgreSQL Database + +Location: .architecture/decisions/adrs/ADR-005-use-postgresql.md +Status: Accepted + +Key Points: +- Decision: PostgreSQL over MySQL for JSONB support +- Main benefit: Better performance for semi-structured data +- Trade-off: Team needs PostgreSQL expertise + +Next Steps: +- Review with Performance Specialist +- Update deployment documentation +- Plan migration timeline +``` + +### Status Report Pattern + +Use for providing status/health information: + +```markdown +# [Status Type] Report + +**Report Date**: [Date] +**Health Status**: Excellent | Good | Needs Attention | Inactive + +## Summary + +**Key Metrics**: +- [Metric 1]: [value] +- [Metric 2]: [value] +- [Metric 3]: [value] + +## Detailed Findings + +[Sections with specific information] + +## Recommendations + +[Actionable next steps based on current state] +``` + +### Review Report Pattern + +Use for architecture and specialist reviews: + +```markdown +# [Review Type]: [Target] + +**Reviewer**: [Name/Role] +**Date**: [Date] +**Assessment**: Excellent | Good | Adequate | Needs Improvement | Critical Issues + +## Executive Summary +[2-3 sentences] + +**Key Findings**: +- [Finding 1] +- [Finding 2] + +## [Detailed Analysis Sections] + +## Recommendations + +### Immediate (0-2 weeks) +1. **[Action]**: [Details] + +### Short-term (2-8 weeks) +1. **[Action]**: [Details] + +### Long-term (2-6 months) +1. **[Action]**: [Details] +``` + +--- + +## Skill Workflow Template + +### Standard Skill Structure + +All skills should follow this structure: + +```markdown +--- +name: skill-name +description: Clear description with trigger phrases. Use when... Do NOT use for... +allowed-tools: [Read, Write, Edit, Glob, Grep, Bash] # Optional: restrict for security +--- + +# Skill Title + +One-line description of what this skill does. + +## Process + +### 1. [First Step] +- Action item +- Action item + +### 2. [Second Step] +- Action item +- Action item + +[Continue with numbered steps] + +### N. Report to User +[Use appropriate reporting pattern] + +## [Optional Sections] + +### When to Use +- Scenario 1 +- Scenario 2 + +### When NOT to Use +- Scenario 1 +- Scenario 2 + +## Related Skills + +**Before This Skill**: +- "[Related skill]" - [Why] + +**After This Skill**: +- "[Related skill]" - [Why] + +**Workflow Examples**: +1. [Skill chain example 1] +2. [Skill chain example 2] + +## Error Handling +- [Error type]: [How to handle] +- [Error type]: [How to handle] + +## Notes +- Implementation note +- Best practice +- Important consideration +``` + +--- + +## Destructive Operations Safety Pattern + +Use for operations that delete or modify files irreversibly: + +``` +**CRITICAL SAFEGUARDS**: +1. Verify current directory context + - Check for project markers (package.json, .git, README.md, etc.) + - Confirm we're in expected location + +2. Verify target exists and is correct + - Check file/directory exists: `[ -e /path/to/target ]` + - Verify it's what we expect (check contents or structure) + +3. Verify target is safe to modify/delete + - For .git removal: verify it's template repo, not project repo + - Check .git/config contains expected template URL + - Ensure no uncommitted work or important history + +4. Use absolute paths + - Get absolute path: `$(pwd)/relative/path` + - Never use relative paths with rm -rf + +5. Never use wildcards + - ❌ Bad: `rm -rf .architecture/.git*` + - ✅ Good: `rm -rf $(pwd)/.architecture/.git` + +6. Stop and ask if verification fails + - **STOP AND ASK USER** if any check fails + - Explain what failed and why it's unsafe + - Let user confirm or abort + +**Example Safe Deletion**: +```bash +# 1. Verify we're in project root +if [ ! -f "package.json" ] && [ ! -f ".git/config" ]; then + echo "ERROR: Not in project root" + exit 1 +fi + +# 2. Verify target exists +if [ ! -d ".architecture/.git" ]; then + echo "Nothing to remove" + exit 0 +fi + +# 3. Verify it's the template repo +if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then + echo "ERROR: .architecture/.git doesn't appear to be template repo" + echo "STOPPING - User confirmation required" + exit 1 +fi + +# 4. Safe removal with absolute path +rm -rf "$(pwd)/.architecture/.git" +``` +``` + +--- + +## Directory Structure Validation Pattern + +Use when skills need specific directory structures: + +``` +**Directory Structure Check**: +1. Check `.architecture/` exists + - If missing: Suggest "Setup ai-software-architect" + +2. Check required subdirectories: + - `.architecture/decisions/adrs/` + - `.architecture/reviews/` + - `.architecture/templates/` + - `.architecture/recalibration/` + - `.architecture/comparisons/` + +3. Create missing subdirectories if skill will use them + - Use: `mkdir -p .architecture/[subdirectory]` + +4. Verify key files exist: + - `.architecture/members.yml` + - `.architecture/principles.md` + - `.architecture/config.yml` (optional, use defaults if missing) + +5. Report issues clearly: + - Missing directories: Create them + - Missing required files: Suggest setup or provide template + - Permission issues: Report and suggest fixes +``` + +--- + +## Usage Notes + +### How to Reference Patterns in Skills + +In skill files, reference patterns like this: + +```markdown +### 3. Validate Input +See [Input Validation & Sanitization](#input-validation--sanitization) in _patterns.md. + +Apply filename sanitization pattern to user-provided title. +``` + +### When to Add New Patterns + +Add new patterns when: +1. Same logic appears in 3+ skills +2. Pattern solves a common problem +3. Pattern improves security or reliability +4. Pattern promotes consistency + +### When NOT to Extract Patterns + +Don't extract when: +1. Logic is skill-specific +2. Pattern would be more complex than inline code +3. Pattern only used in 1-2 skills +4. Extraction reduces clarity + +--- + +## Version History + +**v1.2** (2025-12-04) +- Added progressive disclosure pattern (ADR-008) +- Documented modular skill structure (SKILL.md + /references/ + /assets/) +- Included Phase 2 proven results and metrics +- Added implementation guidelines and refactoring checklist +- Provided best practices for applying pattern +- Added migration path for existing skills + +**v1.1** (2025-12-04) +- Added tool permission pattern (ADR-007) +- Documented `allowed-tools` frontmatter requirement +- Added permission guidelines by skill type +- Added Bash scoping examples +- Added security considerations for tool permissions +- Added troubleshooting guide for permission errors + +**v1.0** (2025-11-12) +- Initial patterns document +- Input validation patterns +- Error handling patterns +- File loading patterns +- Reporting format patterns +- Skill workflow template +- Destructive operations safety pattern +- Directory structure validation pattern diff --git a/.architecture/.claude/skills/architecture-review/SKILL.md b/.architecture/.claude/skills/architecture-review/SKILL.md new file mode 100644 index 0000000..0a70748 --- /dev/null +++ b/.architecture/.claude/skills/architecture-review/SKILL.md @@ -0,0 +1,132 @@ +--- +name: architecture-review +description: Conducts a comprehensive multi-perspective architecture review using ALL architecture team members. Use when the user requests "Start architecture review", "Full architecture review", "Review architecture for version X.Y.Z", "Conduct comprehensive review", or when they want assessment from multiple perspectives. Do NOT use for single-specialist reviews (use specialist-review instead) or for status checks (use architecture-status instead). +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) +--- + +# Architecture Review + +Conducts comprehensive multi-perspective architecture reviews with all team members. + +## Process Overview + +1. **Determine Scope** - Identify what to review (version, feature, or component) +2. **Load Team** - Read members from `.architecture/members.yml` and check pragmatic mode +3. **Analyze System** - Examine architecture using Read, Glob, Grep, and git tools +4. **Individual Reviews** - Each member reviews from their specialized perspective +5. **Collaborative Discussion** - Synthesize findings and establish priorities +6. **Create Document** - Generate comprehensive review using template +7. **Report Results** - Summarize findings and next steps for user + +**Detailed guidance**: [references/review-process.md](references/review-process.md) + +## Workflow Steps + +### 1. Determine Scope + +Identify review target and create filename: +- **Version**: "version X.Y.Z" → `X-Y-Z.md` +- **Feature**: "feature name" → `feature-kebab-case.md` +- **Component**: "component name" → `component-kebab-case.md` + +Apply input validation (see `_patterns.md` § Filename Sanitization). + +### 2. Load Configuration and Team + +```bash +cat .architecture/config.yml # Check pragmatic_mode.enabled +cat .architecture/members.yml # Load all members +``` + +Include Pragmatic Enforcer if pragmatic mode enabled for reviews. + +### 3. Analyze the Target + +Use available tools to examine the system: +- `Read` - Code, configs, documentation +- `Glob` - Find files by pattern +- `Grep` - Search for specific patterns +- `Bash(git:*)` - Git history and status + +Focus based on review type: +- **Version**: Overall architecture, components, patterns, technical debt +- **Feature**: Implementation, integration, security, performance +- **Component**: Structure, dependencies, boundaries, interfaces + +### 4. Conduct Individual Member Reviews + +For each member in `members.yml`, write a review including: +- Perspective statement +- Key observations (3-5) +- Strengths (3-5) +- Concerns with impact and recommendations (3-7) +- Prioritized recommendations with effort estimates (3-7) + +**Format details**: [references/review-process.md § Individual Member Review Format](references/review-process.md#individual-member-review-format) + +**Pragmatic integration**: If enabled, add pragmatic analysis after each member. See [references/pragmatic-integration.md](references/pragmatic-integration.md) + +### 5. Facilitate Collaborative Discussion + +Synthesize findings: +- Identify common concerns +- Discuss disagreements +- Establish consensus +- Prioritize: Critical (0-2 weeks) | Important (2-8 weeks) | Nice-to-Have (2-6 months) + +**Discussion format**: [references/review-process.md § Collaborative Discussion](references/review-process.md#collaborative-discussion-process) + +### 6. Create Review Document + +Load template and fill in all sections: +```bash +cat .claude/skills/architecture-review/assets/review-template.md +``` + +Include: +- Executive summary and overall assessment +- Individual member reviews +- Collaborative discussion +- Consolidated findings (strengths, improvements, debt, risks) +- Recommendations (immediate, short-term, long-term) +- Success metrics and follow-up plan + +Save to `.architecture/reviews/[filename].md` + +**Template**: [assets/review-template.md](assets/review-template.md) + +### 7. Report to User + +``` +Architecture Review Complete: [Target] + +Location: .architecture/reviews/[filename].md +Overall Assessment: [Strong | Adequate | Needs Improvement] + +Top 3 Priorities: +1. [Priority 1] +2. [Priority 2] +3. [Priority 3] + +Immediate Actions: +- [Action 1] +- [Action 2] + +Next Steps: +- Review with team +- "Start architecture recalibration for [target]" +- Create ADRs for key decisions +``` + +## Related Skills + +**Before**: `architecture-status`, `list-members` +**During**: `specialist-review`, `create-adr` +**After**: `architecture-recalibration`, `create-adr` + +## Documentation + +- **Process guide**: [references/review-process.md](references/review-process.md) +- **Pragmatic mode**: [references/pragmatic-integration.md](references/pragmatic-integration.md) +- **Template**: [assets/review-template.md](assets/review-template.md) +- **Patterns**: [../_patterns.md](../_patterns.md) diff --git a/.architecture/.claude/skills/architecture-review/assets/review-template.md b/.architecture/.claude/skills/architecture-review/assets/review-template.md new file mode 100644 index 0000000..c97e2bf --- /dev/null +++ b/.architecture/.claude/skills/architecture-review/assets/review-template.md @@ -0,0 +1,294 @@ +# Architecture Review: [Target] + +**Date**: [YYYY-MM-DD] +**Review Type**: Version | Feature | Component +**Reviewers**: [List all participating members] + +## Executive Summary + +[Write 2-3 paragraphs summarizing the overall state of the architecture, key findings, and critical actions needed. This should be readable by non-technical stakeholders.] + +**Overall Assessment**: Strong | Adequate | Needs Improvement + +**Key Findings**: +- [Finding 1 - Most significant discovery] +- [Finding 2 - Second most significant] +- [Finding 3 - Third most significant] + +**Critical Actions**: +- [Action 1 - Most urgent action required] +- [Action 2 - Second most urgent] + +--- + +## System Overview + +[Provide context about what was reviewed. Include: +- Version number or feature name +- Scope of review (whole system, specific component, feature) +- Key technologies and frameworks +- Architecture style (monolith, microservices, etc.) +- Team size and structure +- Any relevant constraints or context] + +--- + +## Individual Member Reviews + +[Insert each member's review using the format from references/review-process.md] + +### [Member Name] - [Title] + +**Perspective**: [Their unique viewpoint] + +#### Key Observations +- [Observation 1] +- [Observation 2] + +#### Strengths +1. **[Strength]**: [Description] + +#### Concerns +1. **[Concern]** (Impact: High/Medium/Low) + - **Issue**: [What's wrong] + - **Why it matters**: [Impact] + - **Recommendation**: [What to do] + +#### Recommendations +1. **[Recommendation]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) + - **What**: [Action] + - **Why**: [Benefit] + - **How**: [Approach] + +[If pragmatic mode enabled, add Pragmatic Enforcer Analysis section here - see references/pragmatic-integration.md] + +[Repeat for each member] + +--- + +## Collaborative Discussion + +[Synthesize findings from all members. Show how different perspectives interact and what consensus emerges.] + +**Opening Context**: + +**[Systems Architect]**: "[Opening statement]" + +**[Domain Expert]**: "[Response or complementary view]" + +[Continue natural discussion flow between members] + +### Common Ground + +The team agrees on: +1. [Consensus point 1] +2. [Consensus point 2] +3. [Consensus point 3] + +### Areas of Debate + +**Topic: [Topic Title]** +- **[Member 1]**: [Their position and reasoning] +- **[Member 2]**: [Their position and reasoning] +- **Resolution**: [How team reconciles different views] + +### Priorities Established + +**Critical (Address Immediately)**: +1. [Critical priority with brief justification] +2. [Critical priority] + +**Important (Address Soon)**: +1. [Important priority] +2. [Important priority] + +**Nice-to-Have (Consider Later)**: +1. [Nice-to-have improvement] +2. [Nice-to-have improvement] + +--- + +## Consolidated Findings + +### Strengths + +1. **[Strength Title]**: [Description of what's working well, why it's valuable, and how to sustain it] +2. **[Strength Title]**: [Description] +3. **[Strength Title]**: [Description] + +[Aim for 4-7 key strengths] + +### Areas for Improvement + +1. **[Area Title]**: + - **Current state**: [What exists now] + - **Desired state**: [What it should be] + - **Gap**: [What's missing] + - **Priority**: High | Medium | Low + - **Impact**: [Why this matters] + +2. **[Area Title]**: [Details] + +[Aim for 5-10 areas depending on review scope] + +### Technical Debt + +**High Priority**: +- **[Debt Item]**: + - **Impact**: [How it affects development/operations] + - **Resolution**: [What needs to be done] + - **Effort**: Small | Medium | Large + - **Recommended Timeline**: [When to address] + +**Medium Priority**: +- **[Debt Item]**: [Details] + +**Low Priority**: +- **[Debt Item]**: [Details] + +### Risks + +**Technical Risks**: +- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [What could go wrong] + - **Mitigation**: [How to reduce or eliminate risk] + - **Owner**: [Who should monitor/address] + +**Business Risks**: +- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [Business impact] + - **Mitigation**: [How to address] + +**Operational Risks**: +- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [Operations/reliability concern] + - **Mitigation**: [How to address] + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **[Action Title]** + - **Why**: [Problem being solved or value being created] + - **How**: [High-level implementation approach] + - **Owner**: [Team or person responsible] + - **Success Criteria**: [How to know it's done successfully] + - **Estimated Effort**: [Time or story points] + +2. **[Action Title]**: [Details] + +### Short-term (2-8 weeks) + +1. **[Action Title]** + - **Why**: [Justification] + - **How**: [Approach] + - **Owner**: [Responsible party] + - **Success Criteria**: [Completion criteria] + - **Estimated Effort**: [Effort estimate] + +2. **[Action Title]**: [Details] + +### Long-term (2-6 months) + +1. **[Action Title]** + - **Why**: [Strategic value or risk mitigation] + - **How**: [High-level roadmap] + - **Owner**: [Responsible party] + - **Success Criteria**: [Long-term goals] + - **Estimated Effort**: [Effort estimate] + +2. **[Action Title]**: [Details] + +--- + +## Success Metrics + +Define measurable criteria to track improvement: + +1. **[Metric Name]**: + - **Current**: [Current value] + - **Target**: [Target value] + - **Timeline**: [When to achieve] + - **Measurement**: [How to measure] + +2. **[Metric Name]**: Current → Target (Timeline) + +3. **[Metric Name]**: Current → Target (Timeline) + +[Examples: +- Test Coverage: 45% → 75% (3 months) +- Build Time: 15 min → 5 min (6 weeks) +- P95 Response Time: 500ms → 200ms (2 months) +- Code Review Time: 2 days → 4 hours (1 month) +] + +--- + +## Follow-up + +**Next Review**: [Specific date or milestone] + +**Tracking**: [How recommendations will be tracked] +- Create GitHub issues for immediate actions +- Add to sprint backlog +- Use architecture recalibration process (see below) + +**Recalibration**: +After implementing recommendations, conduct architecture recalibration to assess progress: +``` +"Start architecture recalibration for [target]" +``` + +**Accountability**: +- [Who is responsible for tracking implementation] +- [How often to check progress - weekly, bi-weekly, etc.] +- [Where to document status updates] + +--- + +## Related Documentation + +**Architectural Decision Records**: +- [ADR-XXX: Title](../decisions/adrs/ADR-XXX-title.md) - [How it relates to this review] +- [ADR-YYY: Title](../decisions/adrs/ADR-YYY-title.md) - [Relationship] + +**Previous Reviews**: +- [Previous review filename] - [Date] - [How architecture has evolved since then] + +**Referenced Documents**: +- [Document title] - [Link] - [Relevance] + +--- + +## Appendix + +### Review Methodology + +This review was conducted using the AI Software Architect framework with the following team members: + +- **Systems Architect**: Overall system coherence and patterns +- **Domain Expert**: Business domain representation +- **Security Specialist**: Security analysis and threat modeling +- **Performance Specialist**: Performance and scalability +- **Maintainability Expert**: Code quality and technical debt +- [Additional members as applicable] + +Each member reviewed independently, then collaborated to synthesize findings and prioritize recommendations. + +[If pragmatic mode was enabled, note:] +**Pragmatic Mode**: [Strict | Balanced | Lenient] +- Complexity ratio target: [<1.0 | <1.5 | <2.0] +- All recommendations evaluated through YAGNI lens + +### Glossary + +[If needed, define domain-specific terms or acronyms used in the review] + +- **[Term]**: [Definition] +- **[Acronym]**: [Expansion and meaning] + +--- + +**Review Complete** diff --git a/.architecture/.claude/skills/architecture-review/references/pragmatic-integration.md b/.architecture/.claude/skills/architecture-review/references/pragmatic-integration.md new file mode 100644 index 0000000..169d152 --- /dev/null +++ b/.architecture/.claude/skills/architecture-review/references/pragmatic-integration.md @@ -0,0 +1,298 @@ +# Pragmatic Mode Integration for Architecture Reviews + +This document describes how to integrate Pragmatic Enforcer analysis when pragmatic mode is enabled in `.architecture/config.yml`. + +## When to Include Pragmatic Analysis + +**Check Configuration**: Read `.architecture/config.yml`: + +```yaml +pragmatic_mode: + enabled: true + intensity: strict | balanced | lenient + applies_to: + - reviews + - adrs + - implementation +``` + +**If `pragmatic_mode.enabled == true` AND `reviews` is in `applies_to`**: Include Pragmatic Enforcer as a reviewer. + +--- + +## Pragmatic Enforcer Review Format + +The Pragmatic Enforcer reviews each member's recommendations through a YAGNI (You Aren't Gonna Need It) lens. + +### After Each Member's Review + +Add this analysis section immediately following each member's recommendations: + +```markdown +#### Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: [Strict | Balanced | Lenient] + +[For each recommendation from this member, apply pragmatic analysis] + +##### Recommendation: [Recommendation Title] + +**Necessity Assessment** (0-10): +- **Current need**: [Is this addressing a current, concrete problem?] +- **Future need**: [Likelihood and timeframe for actually needing this] +- **Cost of waiting**: [What breaks if we defer? What's the cost of implementing later?] +- **Evidence of need**: [What concrete evidence justifies this now?] +- **Score**: [X/10] + +**Complexity Assessment** (0-10): +- **Added complexity**: [What complexity does this introduce?] +- **Maintenance burden**: [Ongoing cost to maintain this] +- **Learning curve**: [Impact on team understanding] +- **Dependencies introduced**: [New dependencies or abstractions] +- **Score**: [X/10] + +**Simpler Alternative**: +[Propose a simpler approach that meets current actual requirements, or explain why this is already minimal] + +**Pragmatic Recommendation**: +- ✅ **Implement now**: [Clear current need, appropriate complexity] +- ⚠️ **Simplified version**: [Implement minimal version, defer bells and whistles] +- ⏸️ **Defer**: [Wait for trigger conditions] +- ❌ **Skip**: [Not needed, over-engineering] + +**Justification**: [Clear reasoning for recommendation] + +**If Deferring**: +- **Trigger conditions**: [What would trigger implementing this?] +- **Minimal viable alternative**: [What's the simplest thing that could work now?] + +**Pragmatic Score**: +- Necessity: [X/10] +- Complexity: [X/10] +- Ratio: [Complexity/Necessity = X.X] + +**Target Ratios by Mode**: +- Strict: <1.0 (complexity should be less than necessity) +- Balanced: <1.5 (moderate complexity acceptable for clear need) +- Lenient: <2.0 (higher complexity tolerated for strategic value) + +**Assessment**: [Appropriate engineering | Over-engineering | Under-engineering] +``` + +--- + +## Pragmatic Mode Intensity Levels + +### Strict Mode (Ratio Target: <1.0) + +**Philosophy**: Only implement what's absolutely necessary right now. + +**Approach**: +- Challenge every abstraction +- Defer anything speculative +- Require concrete evidence of current need +- Favor simple, direct solutions +- Question best practices if not clearly applicable + +**Use When**: Tight timeline, small team, MVP, prototyping + +### Balanced Mode (Ratio Target: <1.5) + +**Philosophy**: Implement current needs thoughtfully with reasonable future considerations. + +**Approach**: +- Allow appropriate abstractions +- Defer obvious speculation +- Accept moderate complexity for clear benefits +- Balance pragmatism with code quality +- Apply best practices when they add clear value + +**Use When**: Normal development, sustainable pace, balanced priorities + +### Lenient Mode (Ratio Target: <2.0) + +**Philosophy**: Allow strategic complexity for longer-term benefits. + +**Approach**: +- Permit forward-looking designs +- Accept abstractions for anticipated growth +- Allow higher complexity for strategic value +- Consider longer time horizons +- Apply best practices proactively + +**Use When**: Building platforms, long-term projects, infrastructure + +--- + +## Examples of Pragmatic Analysis + +### Example 1: Caching Layer Recommendation (Balanced Mode) + +**Original Recommendation**: "Add Redis caching layer for all database queries" + +**Pragmatic Analysis**: + +**Necessity Assessment**: 7/10 +- Current need: Page load times are 500ms, target is <200ms +- Future need: Traffic growing 20% monthly +- Cost of waiting: User experience degrading, churn risk +- Evidence: Metrics show 60% of queries are duplicate reads +- Score: 7/10 + +**Complexity Assessment**: 6/10 +- Added complexity: New Redis dependency, cache invalidation logic +- Maintenance: Cache coherency, Redis ops, monitoring +- Learning curve: Team familiar with Redis +- Dependencies: Redis server, connection pooling +- Score: 6/10 + +**Simpler Alternative**: +Start with application-level caching (LRU cache in memory) for hot queries only. Add Redis when in-memory is insufficient. + +**Pragmatic Recommendation**: ⚠️ **Simplified version** + +**Justification**: Current need is clear (7/10) but complexity is moderate (6/10). Start simpler with in-memory caching for most impactful queries. This delivers 80% of benefit with 30% of complexity. Upgrade to Redis when evidence shows memory caching is insufficient. + +**Pragmatic Score**: +- Necessity: 7/10 +- Complexity: 6/10 +- Ratio: 0.86 (<1.5 threshold = acceptable if simplified) + +**Assessment**: Appropriate engineering with simplification + +--- + +### Example 2: Microservices Architecture (Balanced Mode) + +**Original Recommendation**: "Split monolith into 12 microservices" + +**Pragmatic Analysis**: + +**Necessity Assessment**: 3/10 +- Current need: Monolith works, no deployment bottlenecks +- Future need: "Might scale better" - speculative +- Cost of waiting: None - can extract services when bottlenecks emerge +- Evidence: No concrete scaling problems, 2-person team +- Score: 3/10 + +**Complexity Assessment**: 9/10 +- Added complexity: Service boundaries, inter-service communication, distributed tracing, API versioning +- Maintenance: 12 services to deploy, monitor, debug +- Learning curve: Team inexperienced with distributed systems +- Dependencies: Service mesh, API gateway, distributed monitoring +- Score: 9/10 + +**Simpler Alternative**: +Keep monolith. Extract services only when you have concrete evidence of bottlenecks. Start with 1-2 services for proven pain points. + +**Pragmatic Recommendation**: ❌ **Skip** + +**Justification**: Massive complexity (9/10) with minimal current need (3/10). This is premature optimization and over-engineering. Wait for actual scaling problems before adding distributed systems complexity. + +**If Deferring**: +- **Trigger conditions**: Deploy time >30 min, scaling bottlenecks measured, >5 developers working in same code +- **Minimal alternative**: Keep monolith, use modules for internal boundaries + +**Pragmatic Score**: +- Necessity: 3/10 +- Complexity: 9/10 +- Ratio: 3.0 (>> 1.5 threshold = over-engineering) + +**Assessment**: Over-engineering - defer + +--- + +### Example 3: Security Vulnerability Fix (Any Mode) + +**Original Recommendation**: "Fix SQL injection vulnerability in login endpoint" + +**Pragmatic Analysis**: + +**Necessity Assessment**: 10/10 +- Current need: Critical security vulnerability +- Future need: N/A - needed now +- Cost of waiting: Data breach, compliance violation +- Evidence: Security audit found SQL injection +- Score: 10/10 + +**Complexity Assessment**: 2/10 +- Added complexity: Use parameterized queries (standard practice) +- Maintenance: Reduces maintenance risk +- Learning curve: None - team knows parameterized queries +- Dependencies: None +- Score: 2/10 + +**Simpler Alternative**: None - this IS the simple solution + +**Pragmatic Recommendation**: ✅ **Implement now** + +**Justification**: Critical necessity (10/10) with minimal complexity (2/10). No debate - implement immediately. + +**Pragmatic Score**: +- Necessity: 10/10 +- Complexity: 2/10 +- Ratio: 0.2 (<< 1.5 threshold) + +**Assessment**: Essential engineering + +--- + +## Integration in Collaborative Discussion + +During collaborative discussion, the Pragmatic Enforcer should: + +1. **Challenge Complexity**: Question whether proposed solutions are minimal +2. **Require Evidence**: Ask for concrete evidence of need, not speculation +3. **Propose Simplifications**: Suggest simpler alternatives for consideration +4. **Balance Views**: Acknowledge when complexity is justified +5. **Set Priorities**: Help team focus on high-impact, low-complexity wins + +### Example Discussion Snippet + +```markdown +**Security Specialist**: "We should implement zero-trust architecture across all services." + +**Pragmatic Enforcer**: "I see the security value, but that's significant complexity. What's the current threat? Can we start with authentication boundaries on public APIs first, then expand if we see attack patterns?" + +**Security Specialist**: "Fair point. We have had unauthorized access attempts on the admin API but internal services haven't been targeted. Starting with API gateway auth would address 90% of current risk." + +**Systems Architect**: "Agreed - that's a more measured approach. Zero-trust can be part of our roadmap once we have evidence it's needed." +``` + +--- + +## Exemptions from Pragmatic Analysis + +Certain recommendations should NOT be challenged by pragmatic mode: + +1. **Security Vulnerabilities**: Critical security fixes always implement +2. **Compliance Requirements**: Legal/regulatory requirements are non-negotiable +3. **Accessibility Issues**: User accessibility is not optional +4. **Data Loss Risks**: Anything preventing data loss is critical +5. **Explicit User Request**: If user specifically asked for something, honor it + +**In config.yml**: +```yaml +pragmatic_mode: + exemptions: + - security + - compliance + - accessibility + - data_loss_prevention +``` + +--- + +## Summary + +Pragmatic mode adds a critical YAGNI perspective to architecture reviews: + +- ✅ Prevents over-engineering +- ✅ Focuses team on current actual needs +- ✅ Identifies simpler alternatives +- ✅ Provides evidence-based decision framework +- ⚠️ Must be balanced with quality and foresight +- ⚠️ Not a blanket "no" to all abstractions + +Use pragmatic analysis to ensure architecture reviews lead to appropriate, not excessive, engineering. diff --git a/.architecture/.claude/skills/architecture-review/references/review-process.md b/.architecture/.claude/skills/architecture-review/references/review-process.md new file mode 100644 index 0000000..a36aea1 --- /dev/null +++ b/.architecture/.claude/skills/architecture-review/references/review-process.md @@ -0,0 +1,241 @@ +# Architecture Review Process - Detailed Guide + +This document provides detailed instructions for conducting architecture reviews with all team members. + +## Table of Contents + +1. [Individual Member Review Format](#individual-member-review-format) +2. [Collaborative Discussion Process](#collaborative-discussion-process) +3. [Analysis Guidelines by Review Type](#analysis-guidelines-by-review-type) + +--- + +## Individual Member Review Format + +Each member from `.architecture/members.yml` should review from their unique perspective using this structure: + +### Review Template + +```markdown +### [Member Name] - [Title] + +**Perspective**: [Their unique viewpoint from members.yml] + +#### Key Observations +- [Observation 1 - Specific finding about the system] +- [Observation 2 - Another specific finding] +- [Continue with notable observations] + +#### Strengths +1. **[Strength Title]**: [Detailed description of what's working well and why it matters] +2. **[Strength Title]**: [Description] +3. [Continue with strengths - aim for 3-5 key strengths] + +#### Concerns +1. **[Concern Title]** (Impact: High | Medium | Low) + - **Issue**: [Clear description of what's wrong or could be improved] + - **Why it matters**: [Impact on system, users, or development] + - **Recommendation**: [Specific actionable recommendation] + +2. **[Concern Title]** (Impact: High | Medium | Low) + - **Issue**: [Description] + - **Why it matters**: [Impact] + - **Recommendation**: [Action] + +[Continue with concerns - prioritize by impact] + +#### Recommendations +1. **[Recommendation Title]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) + - **What**: [What to do] + - **Why**: [Benefit or risk addressed] + - **How**: [Brief implementation approach] + +2. **[Recommendation Title]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) + - [Details] + +[Continue with recommendations - 3-7 recommendations per member] +``` + +### Member-Specific Guidance + +**Systems Architect**: +- Focus on overall system coherence and architectural patterns +- Evaluate component interactions and integration points +- Assess alignment with architectural principles +- Consider long-term evolvability + +**Domain Expert**: +- Review how well architecture represents business domain +- Evaluate bounded contexts and domain model accuracy +- Check ubiquitous language usage +- Assess semantic correctness + +**Security Specialist**: +- Identify security vulnerabilities and threats +- Evaluate authentication, authorization, encryption +- Review data protection and privacy considerations +- Assess security boundaries and attack surface + +**Performance Specialist**: +- Identify performance bottlenecks +- Evaluate scalability patterns +- Review resource utilization +- Assess caching, optimization opportunities + +**Maintainability Expert**: +- Evaluate code organization and clarity +- Assess technical debt +- Review complexity and coupling +- Consider developer experience + +**AI Engineer** (if applicable): +- Review AI/ML integration patterns +- Evaluate LLM application design +- Assess agent orchestration +- Review observability and evaluation + +**Pragmatic Enforcer** (if pragmatic mode enabled): +- See [pragmatic-integration.md](./pragmatic-integration.md) for detailed process + +--- + +## Collaborative Discussion Process + +After individual reviews, simulate a discussion between members to synthesize findings. + +### Discussion Structure + +```markdown +## Collaborative Discussion + +**[Systems Architect]**: "[Opening statement about overall architecture]" + +**[Domain Expert]**: "[Response or complementary view from domain perspective]" + +**[Security Specialist]**: "[Security concerns or validation]" + +[Continue discussion flow naturally] + +### Common Ground + +Team members agree on: +1. [Consensus point 1] +2. [Consensus point 2] +3. [Consensus point 3] + +### Areas of Debate + +**Topic: [Topic Title]** +- **[Member 1]**: [Their position] +- **[Member 2]**: [Their position] +- **Resolution**: [How team resolves or agrees to disagree] + +### Priorities Established + +The team agrees on these priorities: + +**Critical (Address Immediately)**: +1. [Critical priority] +2. [Critical priority] + +**Important (Address Soon)**: +1. [Important priority] +2. [Important priority] + +**Nice-to-Have (Consider Later)**: +1. [Nice-to-have] +2. [Nice-to-have] +``` + +### Discussion Best Practices + +1. **Cross-Reference Findings**: Members should reference and build on each other's observations +2. **Resolve Conflicts**: When members disagree, discuss trade-offs and reach consensus +3. **Prioritize Together**: Collaborate to rank recommendations by urgency and impact +4. **Be Realistic**: Consider project constraints, deadlines, and team capacity +5. **Stay Constructive**: Frame concerns as improvement opportunities + +--- + +## Analysis Guidelines by Review Type + +### Version Reviews + +**Focus on**: +- Overall architecture health at this milestone +- Components and their interactions +- Patterns and consistency +- Technical debt accumulated +- ADRs implemented or needed +- Alignment with original architecture vision + +**Key Questions**: +- Is the architecture still coherent as system has evolved? +- What technical debt needs addressing before next version? +- Are architectural principles being followed? +- What risks should be mitigated? + +### Feature Reviews + +**Focus on**: +- Feature implementation approach +- Integration with existing architecture +- Data flow and state management +- Security implications +- Performance impact +- Test coverage + +**Key Questions**: +- Does this feature fit the existing architecture? +- Are there better architectural approaches? +- What are the integration risks? +- How does this impact scalability? + +### Component Reviews + +**Focus on**: +- Component architecture and structure +- Dependencies and coupling +- Boundaries and interfaces +- Responsibilities and cohesion +- Testability + +**Key Questions**: +- Is component well-designed and focused? +- Are boundaries clear and appropriate? +- Is it properly decoupled? +- Does it follow single responsibility principle? + +--- + +## Tips for High-Quality Reviews + +### Be Specific +- ❌ "The code is messy" +- ✅ "The `UserService` class has 15 methods mixing authentication, authorization, and profile management - violates single responsibility" + +### Provide Context +- ❌ "Add caching" +- ✅ "Add Redis caching for user profile queries - currently hitting DB 50+ times per page load causing 200ms delays" + +### Suggest Solutions +- ❌ "Performance is bad" +- ✅ "Batch database queries in `OrderProcessor.process()` to reduce N+1 queries - should improve processing time by 70%" + +### Balance Positive and Negative +- Don't just list problems +- Recognize what's working well +- Explain why good patterns should be sustained + +### Be Actionable +- Every concern should have a recommendation +- Recommendations should be concrete and implementable +- Estimate effort (Small/Medium/Large) and priority (High/Medium/Low) + +--- + +## Reference Documentation + +For the full review document template, see [../assets/review-template.md](../assets/review-template.md). + +For pragmatic mode integration, see [pragmatic-integration.md](./pragmatic-integration.md). diff --git a/.architecture/.claude/skills/architecture-status/SKILL.md b/.architecture/.claude/skills/architecture-status/SKILL.md new file mode 100644 index 0000000..fc7c789 --- /dev/null +++ b/.architecture/.claude/skills/architecture-status/SKILL.md @@ -0,0 +1,230 @@ +--- +name: architecture-status +description: Reports on the health and state of architecture documentation (counts of ADRs, reviews, activity levels, documentation gaps). Use when the user asks "What's our architecture status?", "Show architecture documentation", "How many ADRs do we have?", "What decisions are documented?", "Architecture health check", or wants an overview/summary of documentation state. Do NOT use for listing team members (use list-members), creating new documents (use create-adr), or conducting reviews (use architecture-review or specialist-review). +allowed-tools: Read,Glob,Grep +--- + +# Architecture Status + +Provides overview of architecture documentation state. + +## Process + +### 1. Check Framework Setup +If `.architecture/` doesn't exist: +``` +The AI Software Architect framework is not set up yet. + +To get started: "Setup ai-software-architect" + +Once set up, you'll have: +- Architectural Decision Records (ADRs) +- Architecture reviews +- Specialist reviews +- Recalibration tracking +``` + +### 2. Gather Information +Collect from `.architecture/`: +- **ADRs**: Count files in `decisions/adrs/`, note recent ones, check statuses +- **Reviews**: Count files in `reviews/`, categorize (version/feature/specialist/initial) +- **Recalibration**: Count files in `recalibration/`, check progress docs +- **Comparisons**: List files in `comparisons/` +- **Team**: Count members in `members.yml` +- **Last Activity**: Most recent date from any document + +### 3. Generate Status Report +```markdown +# Architecture Framework Status + +**Report Date**: [Date] +**Project**: [Project name if known] + +## Summary + +**Health Status**: Excellent | Good | Needs Attention | Inactive + +**Key Metrics**: +- ADRs: [count] +- Reviews: [count] +- Recalibration Plans: [count] +- Team Members: [count] +- Last Activity: [Date] + +## Architectural Decision Records + +**Total**: [count] + +**Recent ADRs**: +1. ADR-[XXX]: [Title] ([Status], [Date]) +2. ADR-[YYY]: [Title] ([Status], [Date]) +[List 5-10 most recent] + +**By Status**: +- ✅ Accepted: [count] +- 🔄 Proposed: [count] +- ⚠️ Deprecated: [count] +- 🔀 Superseded: [count] + +**Coverage**: [Main areas covered: Data, Security, Infrastructure, etc.] + +## Architecture Reviews + +**Total**: [count] + +**Version Reviews**: [List with dates] +**Feature Reviews**: [List with dates] +**Specialist Reviews**: [List with dates] + +**Most Recent**: [Title] ([Date]) + +## Recalibration + +**Total Documents**: [count] + +**Active**: +1. [Target]: [Status], [Completion %] + +**Status**: +- ✅ Completed: [count] +- 🔄 In Progress: [count] +- 📋 Planned: [count] + +## Architecture Team + +**Total Members**: [count] + +**Team**: [List member titles] + +**Coverage**: Security ([count]), Performance ([count]), System Design ([count]), etc. + +**View full roster**: "List architecture members" + +## Activity + +**Recent**: +- [Date]: Created ADR-XXX: [Title] +- [Date]: Completed review for [target] +- [Date]: [Activity] + +**Level**: High | Medium | Low | Inactive + +## Documentation Health + +**Completeness**: [X%] + +**Strengths**: +- ✅ [What's well documented] + +**Gaps**: +- ⚠️ [What needs attention] + +**Recommendations**: +1. [Recommendation 1] +2. [Recommendation 2] + +## Quick Actions + +**Create**: +- "Create ADR for [decision]" +- "Start architecture review for [version/feature]" +- "Ask [specialist] to review [target]" + +**View**: +- "List architecture members" +- [Specific docs to review based on status] + +**Update**: +- [Actions based on current state] + +--- +``` + +### 4. Analyze Health +**Health indicators**: +- **Excellent**: Regular ADRs, recent reviews, active recalibration +- **Good**: Some ADRs, occasional reviews +- **Needs Attention**: Old docs, no recent activity +- **Inactive**: Framework unused + +### 5. Provide Recommendations +**Based on status**: + +**If well-maintained**: +``` +✅ Excellent documentation discipline! + +Keep momentum: +- Continue documenting decisions +- Regular reviews (quarterly/before releases) +- Track recalibration progress +``` + +**If partially used**: +``` +⚠️ Good foundations, room for improvement. + +Suggestions: +- Document 3-5 key decisions as ADRs +- Schedule architecture review +- Address review findings +``` + +**If minimal usage**: +``` +❌ Framework underutilized. + +Get started: +1. Document your most important decisions as ADRs +2. Conduct initial architecture review +3. Make documentation a regular habit +``` + +### 6. Make It Actionable +Always end with: +- Specific commands to run +- Concrete actions to improve +- Examples relevant to their status + +## Metrics to Track + +**Volume**: Total ADRs, reviews, recalibration docs, team members +**Activity**: Last update, docs per month, active vs completed +**Coverage**: Decision areas, review types, specialist expertise +**Health**: Documentation completeness, review frequency, progress tracking + +## Error Handling +- No `.architecture/`: Offer setup +- Permission issues: Report and suggest fixes +- Corrupted files: Note which have issues +- Empty directories: Suggest starting points + +## Related Skills + +**Based on Status Results**: + +**If Documentation Gaps Found**: +- "Create ADR for [missing decision]" - Fill documentation gaps +- "Start architecture review for [area]" - Comprehensive assessment +- "Ask [specialist] to review [weak area]" - Focused improvement + +**If Status is Good**: +- "List architecture members" - See your active team +- Continue regular documentation practices +- Schedule periodic reviews + +**Regular Workflow**: +1. Start work → "What's our architecture status?" → Identify gaps +2. Make changes → Document with ADRs → Status check to verify +3. Before release → Status check → Architecture review → Address findings + +**Workflow Examples**: +1. Status check → Find 0 ADRs → Create ADRs for key decisions → Status check shows progress +2. Status check → See old reviews → Request new architecture review → Update status +3. Weekly: Status check → Track documentation health → Maintain good practices + +## Notes +- Be honest but encouraging +- Focus on actionable next steps +- Show value of maintained documentation +- Adapt tone to current state diff --git a/.architecture/.claude/skills/create-adr/SKILL.md b/.architecture/.claude/skills/create-adr/SKILL.md new file mode 100644 index 0000000..b426ca3 --- /dev/null +++ b/.architecture/.claude/skills/create-adr/SKILL.md @@ -0,0 +1,122 @@ +--- +name: create-adr +description: Creates a NEW Architectural Decision Record (ADR) documenting a specific architectural decision. Use when the user requests "Create ADR for [topic]", "Document decision about [topic]", "Write ADR for [choice]", or when documenting technology choices, patterns, or architectural approaches. Do NOT use for reviews (use architecture-review or specialist-review), checking existing ADRs (use architecture-status), or general documentation. +allowed-tools: Read,Write,Bash(ls:*,grep:*) +--- + +# Create Architectural Decision Record (ADR) + +Creates structured ADRs following the framework's template. + +## Process + +### 1. Gather Context +Ask if needed: +- What decision is being made? +- What problem does it solve? +- What alternatives were considered? +- What are the trade-offs? + +### 2. Generate ADR Number +```bash +# Find highest ADR number +ls .architecture/decisions/adrs/ | grep -E "^ADR-[0-9]+" | sed 's/ADR-//' | sed 's/-.*//' | sort -n | tail -1 +``` +New ADR = next sequential number (e.g., if highest is 003, create 004) + +### 3. Validate and Sanitize Input +**Security**: Sanitize user input to prevent path traversal and injection: +- Remove or replace: `..`, `/`, `\`, null bytes, control characters +- Convert to lowercase kebab-case: spaces → hyphens, remove special chars +- Limit length: max 80 characters for filename portion +- Validate result: ensure filename contains only [a-z0-9-] + +### 4. Create Filename +Format: `ADR-XXX-kebab-case-title.md` + +Examples: +- `ADR-001-use-react-for-frontend.md` +- `ADR-002-choose-postgresql-database.md` + +**Valid input**: "Use React for Frontend" → `use-react-for-frontend` +**Invalid blocked**: "../etc/passwd" → sanitized or rejected + +### 5. Check Configuration +- Read `.architecture/config.yml` to check if pragmatic_mode is enabled +- If enabled and applies to ADR creation, include Pragmatic Enforcer analysis + +### 6. Write ADR +Use the template from `.architecture/templates/adr-template.md`: + +**Core sections**: +- Status, Context, Decision Drivers, Decision, Consequences +- Implementation, Alternatives Considered, Validation, References + +**If pragmatic_mode is enabled**: Add Pragmatic Enforcer Analysis section: +- Necessity Assessment (0-10): Current need, future need, cost of waiting, evidence +- Complexity Assessment (0-10): Added complexity, maintenance, learning curve, dependencies +- Alternative Analysis: Review if simpler alternatives adequately considered +- Simpler Alternative Proposal: Concrete proposal for simpler approach +- Recommendation: Approve / Approve with simplifications / Defer / Recommend against +- Pragmatic Score: Necessity, Complexity, Ratio (target <1.5) +- Overall Assessment: Appropriate engineering vs over-engineering + +**If deferrals enabled**: Track deferred decisions in `.architecture/deferrals.md` + +### 7. Save ADR +Write to: `.architecture/decisions/adrs/ADR-XXX-title.md` + +### 8. Report to User +``` +Created ADR-XXX: [Title] + +Location: .architecture/decisions/adrs/ADR-XXX-title.md +Status: [Status] + +Key Points: +- Decision: [Summary] +- Main benefit: [Key benefit] +- Main trade-off: [Key trade-off] + +Next Steps: +- [Immediate action 1] +- [Immediate action 2] +``` + +## When to Create ADRs +**Do create for**: +- Technology choices (frameworks, databases, languages) +- Architectural patterns (microservices, event-driven, etc.) +- Infrastructure decisions (cloud provider, deployment) +- Security approaches (authentication, encryption) + +**Don't create for**: +- Implementation details (function names, variable names) +- Temporary decisions +- Minor decisions with limited impact + +## Status Lifecycle +- **Proposed**: Documented but not approved +- **Accepted**: Approved and should be implemented +- **Deprecated**: No longer best practice +- **Superseded**: Replaced by newer ADR (reference it) + +## Related Skills + +**Before Creating ADR**: +- "What's our architecture status?" - Check existing ADRs to avoid duplication +- "List architecture members" - See who should review the decision + +**After Creating ADR**: +- "Ask [specialist] to review [the ADR]" - Get focused expert review +- "Start architecture review for [version]" - Include in comprehensive review + +**Workflow Examples**: +1. Create ADR → Ask Security Specialist to review → Revise ADR +2. Architecture review → Create ADRs for key decisions → Status check + +## Notes +- Focus on "why" more than "what" +- Be honest about trade-offs +- Keep it concise but complete +- ADRs can be updated as new information emerges diff --git a/.architecture/.claude/skills/list-members/SKILL.md b/.architecture/.claude/skills/list-members/SKILL.md new file mode 100644 index 0000000..92f390f --- /dev/null +++ b/.architecture/.claude/skills/list-members/SKILL.md @@ -0,0 +1,175 @@ +--- +name: list-members +description: Displays the roster of architecture team members with their specialties and expertise areas. Use when the user asks "Who's on the architecture team?", "List architecture members", "Show me the architects", "What specialists are available?", "Who can I ask for reviews?", or wants to discover available experts. Do NOT use for requesting reviews (use specialist-review or architecture-review) or checking documentation status (use architecture-status). +allowed-tools: Read +--- + +# List Architecture Members + +Displays all architecture team members and their expertise areas. + +## Process + +### 1. Check Setup +If `.architecture/members.yml` doesn't exist: +``` +The AI Software Architect framework hasn't been set up yet. + +To get started: "Setup ai-software-architect" +``` + +### 2. Load Members +Read `.architecture/members.yml` and parse all members (id, name, title, specialties, disciplines, skillsets, domains, perspective). + +### 3. Display Team Roster +```markdown +# Architecture Team Members + +Your AI Software Architect team consists of [count] specialized reviewers. + +Total Members: [count] + +--- + +## Team Roster + +### [Member 1 Name] - [Member 1 Title] + +**ID**: `[member_id]` + +**Specialties**: [Specialty 1], [Specialty 2], [Specialty 3] + +**Disciplines**: [Discipline 1], [Discipline 2] + +**Domains**: [Domain 1], [Domain 2], [Domain 3] + +**Perspective**: [Their unique perspective] + +**Request review**: `Ask [Member Title] to review [your target]` + +--- + +[Repeat for all members] + +--- + +## Quick Reference + +**Specialist reviews**: +- `Ask [Specialist Title] to review [target]` + +**Examples**: +- "Ask Security Specialist to review authentication" +- "Ask Performance Specialist to review database queries" +- "Ask [Your Specialist] to review [anything]" + +**Full architecture review**: +- `Start architecture review for version X.Y.Z` + +**Other commands**: +- `Create ADR for [decision topic]` +- `What's our architecture status?` + +--- + +## Team by Specialty + +[Group members by their primary domains/specialties] + +**Security & Compliance**: [Members] +**Performance & Scalability**: [Members] +**Code Quality & Maintainability**: [Members] +**Domain & Business Logic**: [Members] +**System Design & Architecture**: [Members] +**Technology-Specific**: [Members] + +--- + +## Adding New Members + +Request a review from any specialist, even if they don't exist: +- "Ask Ruby Expert to review my modules" +- "Have Accessibility Expert review forms" + +I'll create the specialist and add them to your team automatically. + +Or manually edit `.architecture/members.yml` and add: +```yaml +- id: your_specialist_id + name: "[Name]" + title: "[Title]" + specialties: ["[Specialty 1]", "[Specialty 2]"] + disciplines: ["[Discipline 1]", "[Discipline 2]"] + skillsets: ["[Skill 1]", "[Skill 2]"] + domains: ["[Domain 1]", "[Domain 2]"] + perspective: "[Brief description]" +``` + +--- + +## Using the Team + +**For focused reviews** (specific expertise): +``` +Ask [Specialist] to review [target] +``` +Fast turnaround, targeted insights + +**For comprehensive reviews** (all perspectives): +``` +Start architecture review for [version/feature] +``` +All members review, collaborative discussion + +**For decisions**: +``` +Create ADR for [decision topic] +``` +Document decisions with team input + +--- +``` + +### 4. Provide Context +After listing: +- Explain when to use specialist vs full reviews +- Show how to add new members dynamically +- Provide usage examples +- Suggest next steps + +## Example Output Summary +After showing full roster, provide a concise summary: +``` +Ready to use your architecture team: +- [N] specialists available +- Request reviews: "Ask [specialist] to review [target]" +- Add new specialists: Just ask for them by name +- Full review: "Start architecture review for [scope]" +``` + +## Error Handling +- No `.architecture/`: Offer setup instructions +- Empty `members.yml`: Show default team and offer setup +- Malformed YAML: Show what's parseable, note issues + +## Related Skills + +**After Listing Members**: +- "Ask [specialist] to review [target]" - Request focused expert review +- "Start architecture review for [scope]" - Comprehensive review with all members +- "What's our architecture status?" - See how team has been used + +**When Adding Members**: +- Just request a specialist that doesn't exist - they'll be created automatically +- "Setup ai-software-architect" - Adds members based on your tech stack + +**Workflow Examples**: +1. List members → Identify relevant specialist → Request review +2. Need new expertise → Request it → Specialist auto-created → List to verify +3. Status check → List members → Review with specific specialists + +## Notes +- Keep presentation clear and scannable +- Make it actionable with specific commands +- Encourage exploration and usage +- Explain that team can grow dynamically diff --git a/.architecture/.claude/skills/pragmatic-guard/SKILL.md b/.architecture/.claude/skills/pragmatic-guard/SKILL.md new file mode 100644 index 0000000..66c1ef3 --- /dev/null +++ b/.architecture/.claude/skills/pragmatic-guard/SKILL.md @@ -0,0 +1,152 @@ +--- +name: pragmatic-guard +description: Enables and configures Pragmatic Guard Mode (YAGNI Enforcement) to prevent over-engineering. Use when the user requests "Enable pragmatic mode", "Turn on YAGNI enforcement", "Activate simplicity guard", "Challenge complexity", or similar phrases. +allowed-tools: Read,Edit +--- + +# Pragmatic Guard Mode + +Enables and configures the Pragmatic Guard Mode to actively challenge over-engineering. + +## Process + +### 1. Check Current Configuration +- Read `.architecture/config.yml` to check current settings +- If config.yml doesn't exist, offer to create it from `.architecture/templates/config.yml` +- Check if `pragmatic_mode.enabled` is true +- Note the intensity level (strict/balanced/lenient) +- Review exemption categories and triggers + +### 2. Enable Pragmatic Mode (if requested) +If user wants to enable: +- If config.yml doesn't exist: + ```bash + cp .architecture/templates/config.yml .architecture/config.yml + ``` +- Set `pragmatic_mode.enabled: true` +- Confirm intensity level with user or use default (balanced) +- Create `.architecture/deferrals.md` from template if it doesn't exist: + ```bash + cp .architecture/templates/deferrals.md .architecture/deferrals.md + ``` +- Inform user about mode activation and current settings + +### 3. Configure Intensity Level +Ask user which intensity they prefer if not specified: + +**Strict Mode**: +- Challenges aggressively, requires strong justification for any complexity +- Questions every "should" and "could" +- Pushes for absolute minimal implementation +- Best for: New projects, MVPs, startups with limited resources + +**Balanced Mode** (RECOMMENDED): +- Challenges thoughtfully, accepts justified complexity +- Seeks middle ground between simplicity and best practices +- Questions "should" but accepts reasonable "must" +- Best for: Most projects, growing teams, moderate complexity + +**Lenient Mode**: +- Raises concerns without blocking +- Suggests simpler alternatives as options +- Focuses on major complexity additions only +- Best for: Established projects, teams with strong architecture practices + +### 4. Configure Triggers (optional) +Ask if user wants to customize which situations trigger pragmatic analysis: +- New abstraction layers (interfaces, base classes, DI containers) +- New external dependencies (libraries, frameworks, services) +- New architectural patterns (repository, strategy, observer) +- Scope expansion beyond initial requirements +- Performance optimizations without evidence +- Test infrastructure upfront +- Flexibility/configurability additions + +### 5. Configure Exemptions (optional) +Confirm exemption categories where best practices should be maintained: +- Security-critical features (always exempt by default) +- Data integrity (always exempt by default) +- Compliance requirements (always exempt by default) +- Accessibility (always exempt by default) + +### 6. Understanding the Pragmatic Enforcer +Explain how the Pragmatic Enforcer will participate: + +**In Architecture Reviews**: +- Reviews each architect's recommendations +- Applies necessity assessment (0-10 scoring) +- Applies complexity assessment (0-10 scoring) +- Proposes simpler alternatives +- Calculates pragmatic score (complexity/necessity ratio, target <1.5) + +**In ADR Creation**: +- Challenges proposed decisions +- Questions whether complexity is justified by current needs +- Suggests phased approaches or deferrals +- Documents trigger conditions for deferred decisions + +**Question Framework**: +- **Necessity**: "Do we need this right now?" "What breaks without it?" +- **Simplicity**: "What's the simplest thing that could work?" +- **Cost**: "What's the cost of implementing now vs waiting?" +- **Alternatives**: "What if we just...?" "Could we use existing tools?" +- **Best Practices**: "Does this best practice apply to our context?" + +### 7. Deferrals Tracking +If `behavior.track_deferrals` is true: +- Maintain `.architecture/deferrals.md` with deferred decisions +- Include trigger conditions for each deferral +- Track when deferrals are implemented or remain deferred + +### 8. Report to User +``` +Pragmatic Guard Mode: [Enabled | Disabled] + +Configuration: +- Intensity: [strict | balanced | lenient] +- Apply to: [List of phases where it applies] +- Deferrals tracking: [enabled | disabled] + +Exemptions: +- Security-critical: [enabled | disabled] +- Data integrity: [enabled | disabled] +- Compliance: [enabled | disabled] +- Accessibility: [enabled | disabled] + +Triggers: +[List of active triggers] + +The Pragmatic Enforcer will now: +- Challenge recommendations from other architects +- Question complexity and abstractions +- Propose simpler alternatives +- Calculate pragmatic scores (target ratio <1.5) +- [If enabled] Track deferred decisions in .architecture/deferrals.md + +Next Steps: +- Create an ADR: "Create ADR for [topic]" (will include pragmatic analysis) +- Start a review: "Start architecture review for [target]" (will include pragmatic challenges) +- Adjust settings: Edit .architecture/config.yml +``` + +## When to Use Pragmatic Mode + +**Enable for**: +- New projects or MVPs +- Teams prone to over-engineering +- Resource-constrained environments +- Learning environments (teaching YAGNI) +- Projects with tight deadlines + +**Consider disabling for**: +- Mature systems with established patterns +- High-complexity domains requiring abstractions +- Teams already practicing strong YAGNI principles +- Projects with specific architectural requirements + +## Notes +- Pragmatic mode is about finding balance, not blocking progress +- The Pragmatic Enforcer's role is to question and challenge, not to veto +- Intensity level should match team maturity and project complexity +- Exemptions ensure critical areas maintain appropriate rigor +- Deferrals can always be implemented when triggered by actual needs diff --git a/.architecture/.claude/skills/setup-architect/SKILL.md b/.architecture/.claude/skills/setup-architect/SKILL.md new file mode 100644 index 0000000..d72a83e --- /dev/null +++ b/.architecture/.claude/skills/setup-architect/SKILL.md @@ -0,0 +1,195 @@ +--- +name: setup-architect +description: Sets up and installs the AI Software Architect framework in a NEW project for the FIRST time. Use when the user requests "Setup .architecture", "Setup ai-software-architect", "Initialize architecture framework", "Install software architect", or similar setup/installation phrases. Do NOT use for checking status (use architecture-status), creating documents (use create-adr or reviews), or when framework is already set up. +allowed-tools: Read,Write,Edit,Glob,Grep,Bash +--- + +# Setup AI Software Architect Framework + +Sets up and customizes the AI Software Architect framework for a project. + +## Overview + +This skill performs a complete framework installation: +1. Verifies prerequisites (framework cloned, project root confirmed) +2. Analyzes project (languages, frameworks, structure, patterns) +3. Installs framework files and directory structure +4. Customizes team members and principles for detected tech stack +5. Performs initial system analysis +6. Reports customizations and findings + +**Detailed procedures**: [references/installation-procedures.md](references/installation-procedures.md) +**Customization guide**: [references/customization-guide.md](references/customization-guide.md) + +## High-Level Workflow + +### 1. Verify Prerequisites + +Check requirements before installation: +- `.architecture/.architecture/` directory exists (cloned framework) +- Currently in project root directory + +**If missing**: Guide user to clone framework first. + +### 2. Analyze Project + +Identify project characteristics: +- **Languages**: JavaScript/TypeScript, Python, Ruby, Java, Go, Rust +- **Frameworks**: React, Vue, Django, Rails, Spring, etc. +- **Infrastructure**: Testing setup, CI/CD, package managers +- **Structure**: Directory layout, architectural patterns + +Use `Glob` and `Grep` to detect technologies, `Read` to examine configs. + +### 3. Install Framework + +Execute installation steps (see [references/installation-procedures.md](references/installation-procedures.md)): +- Copy framework files to `.architecture/` +- Remove clone directory +- Create directory structure (decisions/adrs, reviews, recalibration, etc.) +- Initialize configuration from templates +- Set up agent documentation (ADR-006 progressive disclosure) + +**Critical**: Follow safety procedures when removing `.git/` directory. + +### 4. Customize Architecture Team + +Add technology-specific members to `.architecture/members.yml`: +- **JavaScript/TypeScript**: JavaScript Expert, framework specialists (React/Vue/Angular) +- **Python**: Python Expert, framework specialists (Django/Flask/FastAPI) +- **Ruby**: Ruby Expert, Rails Architect +- **Java**: Java Expert, Spring Boot Specialist +- **Go**: Go Expert, Microservices Architect +- **Rust**: Rust Expert, Systems Programmer + +Use template from [assets/member-template.yml](assets/member-template.yml). + +**Keep core members**: Systems Architect, Domain Expert, Security, Performance, Maintainability, AI Engineer, Pragmatic Enforcer. + +**Customization details**: [references/customization-guide.md § Customize Team Members](references/customization-guide.md#customize-architecture-team-members) + +### 5. Customize Architectural Principles + +Add framework-specific principles to `.architecture/principles.md`: +- **React**: Component composition, hooks, unidirectional data flow +- **Rails**: Convention over configuration, DRY, RESTful design +- **Django**: Explicit over implicit, reusable apps, use built-ins + +**Principle examples**: [references/customization-guide.md § Customize Principles](references/customization-guide.md#customize-architectural-principles) + +### 6. Update CLAUDE.md Integration + +If `CLAUDE.md` exists in project root, append framework usage section: +- Available commands +- Where to find documentation +- How to invoke skills + +**Template**: [references/customization-guide.md § Update CLAUDE.md](references/customization-guide.md#update-claudemd-integration) + +### 7. Cleanup + +Remove framework development files: +- Framework documentation (README.md, USAGE*.md, INSTALL.md) +- Template `.git/` directory (with **critical safety checks**) + +**⚠️ IMPORTANT**: Follow all safeguards in [references/installation-procedures.md § Cleanup](references/installation-procedures.md#cleanup-procedures). + +### 8. Create Initial System Analysis + +Generate comprehensive initial analysis document: +- Each member analyzes system from their perspective +- System overview (stack, structure, patterns) +- Strengths identified +- Concerns raised (with impact levels) +- Recommendations prioritized (Critical/Important/Nice-to-Have) +- Collaborative synthesis of findings + +Save to `.architecture/reviews/initial-system-analysis.md`. + +**Template**: [assets/initial-analysis-template.md](assets/initial-analysis-template.md) + +### 9. Report to User + +Provide setup summary: + +``` +AI Software Architect Framework Setup Complete + +Customizations: +- Added [N] technology specialists: [list] +- Customized principles for: [frameworks] +- Configuration: Pragmatic mode [enabled/disabled] + +Initial Analysis Highlights: +- Overall assessment: [assessment] +- Top strength: [strength] +- Top concern: [concern] +- Critical recommendation: [recommendation] + +Location: .architecture/reviews/initial-system-analysis.md + +Next Steps: +- Review initial analysis findings +- "List architecture members" to see customized team +- "Create ADR for [first decision]" to start documenting +- "What's our architecture status?" to verify setup +``` + +## Error Handling + +**Framework not cloned**: +``` +The framework must be cloned first. Please run: + +git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture + +Then run setup again. +``` + +**Already set up**: +``` +Framework appears to be already set up. + +To verify: "What's our architecture status?" +To reconfigure: Manually edit .architecture/members.yml and .architecture/principles.md +``` + +**Unclear project structure**: +``` +Could not clearly identify project type. Please describe: +- Primary programming language(s) +- Framework(s) used +- Project purpose + +I'll customize the framework accordingly. +``` + +## Related Skills + +**After Setup**: +- `list-members` - View customized team +- `architecture-status` - Verify setup completion +- `create-adr` - Document first decision + +**Initial Work**: +- Review `initial-system-analysis.md` findings +- `specialist-review` - Deep-dive on specific concerns +- `create-adr` - Document existing key decisions + +**Workflow Example**: +Setup → Review initial analysis → Create ADRs → Status check → Regular reviews + +## Notes + +- Customize based on **actual** project, not every possible option +- Be specific about **why** each customization was made +- Initial analysis should be thorough but focused on actionable findings +- Safety checks during cleanup are **non-negotiable** + +## Documentation + +- **Installation details**: [references/installation-procedures.md](references/installation-procedures.md) +- **Customization guide**: [references/customization-guide.md](references/customization-guide.md) +- **Initial analysis template**: [assets/initial-analysis-template.md](assets/initial-analysis-template.md) +- **Member template**: [assets/member-template.yml](assets/member-template.yml) +- **Common patterns**: [../_patterns.md](../_patterns.md) diff --git a/.architecture/.claude/skills/setup-architect/assets/initial-analysis-template.md b/.architecture/.claude/skills/setup-architect/assets/initial-analysis-template.md new file mode 100644 index 0000000..ab27793 --- /dev/null +++ b/.architecture/.claude/skills/setup-architect/assets/initial-analysis-template.md @@ -0,0 +1,400 @@ +# Initial System Analysis + +**Project**: [Project Name] +**Date**: [YYYY-MM-DD] +**Analysis Type**: Initial Setup Assessment +**Analysts**: [List all architecture members participating] + +--- + +## Executive Summary + +[Write 2-3 paragraphs providing a high-level overview of the system being analyzed. Include: +- What the system does (purpose and domain) +- Primary technologies and stack +- Current state and maturity level +- Overall architectural health +] + +**Overall Assessment**: [Excellent | Good | Adequate | Needs Attention] + +**Key Findings**: +- [Major finding 1] +- [Major finding 2] +- [Major finding 3] + +**Critical Recommendations**: +- [Top priority recommendation] +- [Second priority recommendation] + +--- + +## System Overview + +### Project Information + +**Primary Language(s)**: [e.g., JavaScript/TypeScript, Python, Ruby] + +**Frameworks**: [e.g., React, Rails, Django, Express] + +**Architecture Style**: [e.g., Monolith, Microservices, Serverless, Hybrid] + +**Deployment**: [e.g., Heroku, AWS, Docker, Kubernetes] + +**Team Size**: [Number of developers] + +**Project Age**: [e.g., 2 years, New project, Legacy system] + +### Technology Stack + +**Frontend**: +- [Technology 1] +- [Technology 2] + +**Backend**: +- [Technology 1] +- [Technology 2] + +**Database**: +- [Primary database] +- [Cache layer if any] + +**Infrastructure**: +- [Hosting/cloud provider] +- [CI/CD tools] +- [Monitoring/observability] + +### Project Structure + +``` +[Provide high-level directory structure] +/ +├── src/ +│ ├── components/ +│ ├── services/ +│ └── ... +├── tests/ +└── ... +``` + +**Key Observations**: +- [Structure observation 1] +- [Structure observation 2] + +--- + +## Individual Member Analyses + +### [Member Name] - [Title] + +**Perspective**: [Their specialized viewpoint] + +#### Current State Assessment + +[Detailed analysis from this member's perspective. Include: +- What they examined +- How they evaluated it +- What they discovered +] + +#### Strengths Identified + +1. **[Strength]**: [Why this is valuable and how it benefits the project] + +2. **[Strength]**: [Description] + +3. **[Strength]**: [Description] + +#### Concerns Raised + +1. **[Concern]** (Impact: High | Medium | Low) + - **Issue**: [What's problematic] + - **Why It Matters**: [Impact on project/team] + - **Recommendation**: [Suggested action] + +2. **[Concern]** (Impact: High | Medium | Low) + - **Issue**: [Description] + - **Why It Matters**: [Impact] + - **Recommendation**: [Action] + +#### Initial Recommendations + +1. **[Recommendation]** (Priority: Critical | Important | Nice-to-Have, Effort: Small | Medium | Large) + - **What**: [Action to take] + - **Why**: [Benefit or risk addressed] + - **How**: [Implementation approach] + +2. **[Recommendation]** (Priority, Effort) + - [Details] + +[Repeat for each architecture member] + +--- + +## Collaborative Synthesis + +[After individual analyses, synthesize findings across all members] + +### Common Themes + +**Strengths** (What multiple members praised): +1. [Common strength 1] +2. [Common strength 2] + +**Concerns** (What multiple members flagged): +1. [Common concern 1] +2. [Common concern 2] + +**Disagreements** (Where members had different views): +- **Topic**: [Topic of disagreement] + - **[Member 1]**: [Their view] + - **[Member 2]**: [Their view] + - **Resolution**: [How to reconcile or way forward] + +### Prioritized Findings + +**Critical (Address Immediately)**: +1. **[Finding]**: [Why critical, impact if not addressed] +2. **[Finding]**: [Details] + +**Important (Address in Near Term)**: +1. **[Finding]**: [Why important] +2. **[Finding]**: [Details] + +**Nice-to-Have (Consider for Future)**: +1. **[Finding]**: [Why beneficial but not urgent] +2. **[Finding]**: [Details] + +--- + +## Architectural Health Assessment + +### Code Quality + +**Rating**: [1-10] + +**Observations**: +- [Observation about code organization] +- [Observation about code clarity] +- [Observation about technical debt] + +**Key Issues**: +- [Issue 1] +- [Issue 2] + +### Testing + +**Coverage**: [Percentage if known, or qualitative assessment] + +**Rating**: [1-10] + +**Observations**: +- [Test presence and quality] +- [Test types (unit, integration, e2e)] +- [Test infrastructure] + +**Gaps**: +- [Gap 1] +- [Gap 2] + +### Documentation + +**Rating**: [1-10] + +**Observations**: +- [README quality] +- [API documentation] +- [Architecture documentation] +- [Code comments] + +**Missing**: +- [What documentation is missing] + +### Security + +**Rating**: [1-10] + +**Observations**: +- [Authentication/authorization approach] +- [Data protection measures] +- [Known vulnerabilities] + +**Concerns**: +- [Security concern 1] +- [Security concern 2] + +### Performance + +**Rating**: [1-10] + +**Observations**: +- [Performance characteristics] +- [Scalability considerations] +- [Known bottlenecks] + +**Concerns**: +- [Performance concern 1] +- [Performance concern 2] + +### Maintainability + +**Rating**: [1-10] + +**Observations**: +- [How easy is it to change?] +- [Developer onboarding experience] +- [Build/deploy process] + +**Challenges**: +- [Maintainability challenge 1] +- [Maintainability challenge 2] + +--- + +## Technical Debt Inventory + +### High Priority Debt + +1. **[Debt Item]** + - **Impact**: [How it affects development] + - **Effort to Resolve**: [Small | Medium | Large] + - **Recommendation**: [When and how to address] + +2. **[Debt Item]**: [Details] + +### Medium Priority Debt + +1. **[Debt Item]**: [Details] +2. **[Debt Item]**: [Details] + +### Low Priority Debt + +1. **[Debt Item]**: [Details] + +--- + +## Risk Assessment + +### Technical Risks + +1. **[Risk]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [What could go wrong] + - **Impact**: [Consequences if it happens] + - **Mitigation**: [How to reduce or eliminate] + +2. **[Risk]** (Likelihood, Impact) + - [Details] + +### Business Risks + +1. **[Risk]** (Likelihood, Impact) + - [Details] + +### Operational Risks + +1. **[Risk]** (Likelihood, Impact) + - [Details] + +--- + +## Recommendations + +### Immediate Actions (0-2 Weeks) + +1. **[Action]** + - **Why**: [Problem being solved] + - **How**: [Implementation approach] + - **Owner**: [Who should do this] + - **Success Criteria**: [How to know it's done] + - **Effort**: [Time estimate] + +2. **[Action]**: [Details] + +### Short-Term Actions (2-8 Weeks) + +1. **[Action]** + - **Why**: [Benefit] + - **How**: [Approach] + - **Owner**: [Responsible party] + - **Success Criteria**: [Completion criteria] + - **Effort**: [Estimate] + +2. **[Action]**: [Details] + +### Long-Term Initiatives (2-6 Months) + +1. **[Initiative]** + - **Why**: [Strategic value] + - **How**: [High-level roadmap] + - **Owner**: [Responsible party] + - **Success Criteria**: [Long-term goals] + - **Effort**: [Estimate] + +2. **[Initiative]**: [Details] + +--- + +## Success Metrics + +Define measurable targets to track improvement: + +1. **[Metric Name]** + - **Baseline**: [Current value] + - **Target**: [Desired value] + - **Timeline**: [When to achieve] + - **How to Measure**: [Measurement method] + +2. **[Metric]**: Baseline → Target (Timeline) + +3. **[Metric]**: Baseline → Target (Timeline) + +[Examples: +- Test Coverage: 30% → 70% (3 months) +- Build Time: 10 min → 3 min (6 weeks) +- Documentation Score: 4/10 → 8/10 (2 months) +] + +--- + +## Suggested Next Steps + +Based on this initial analysis: + +1. **[Step 1]**: [Specific actionable next step] +2. **[Step 2]**: [Next step] +3. **[Step 3]**: [Next step] + +**Documentation**: +- Create ADRs for key architectural decisions identified +- Document existing patterns in ADRs +- Schedule regular architecture reviews + +**Process**: +- Establish review cadence (quarterly recommended) +- Define ADR creation criteria +- Set up architecture recalibration process + +--- + +## Appendix + +### Analysis Methodology + +This analysis was conducted using the AI Software Architect framework. Each member analyzed the system from their specialized perspective, then collaborated to synthesize findings and prioritize recommendations. + +**Members Participating**: +- [Member 1] - [Role] +- [Member 2] - [Role] +- [etc.] + +### Glossary + +[Define project-specific terms or acronyms used in analysis] + +- **[Term]**: [Definition] +- **[Acronym]**: [Expansion and meaning] + +--- + +**Analysis Complete** +**Next Review**: [Suggested date - typically 3-6 months after setup] diff --git a/.architecture/.claude/skills/setup-architect/assets/member-template.yml b/.architecture/.claude/skills/setup-architect/assets/member-template.yml new file mode 100644 index 0000000..4ea0c89 --- /dev/null +++ b/.architecture/.claude/skills/setup-architect/assets/member-template.yml @@ -0,0 +1,138 @@ +# Architecture Team Member Template +# +# Use this template to add new team members to .architecture/members.yml +# +# Copy this entire member block and customize for your technology stack + +- id: [unique_identifier] # lowercase with underscores, e.g., javascript_expert + name: "[Full Name]" # Display name, e.g., "Alex Rivera" + title: "[Role Title]" # Professional title, e.g., "JavaScript Expert" + + # Specialties: Main areas of expertise (3-5 items) + specialties: + - "[Specialty 1]" # e.g., "Modern JavaScript/TypeScript" + - "[Specialty 2]" # e.g., "Frontend architecture" + - "[Specialty 3]" # e.g., "Build tools" + + # Disciplines: Professional disciplines and practices (3-5 items) + disciplines: + - "[Discipline 1]" # e.g., "Clean code" + - "[Discipline 2]" # e.g., "Performance optimization" + - "[Discipline 3]" # e.g., "Test-driven development" + + # Skillsets: Specific technical skills (3-5 items) + skillsets: + - "[Skill 1]" # e.g., "ES6+" + - "[Skill 2]" # e.g., "Async programming" + - "[Skill 3]" # e.g., "Module systems" + + # Domains: Application domains and contexts (3-5 items) + domains: + - "[Domain 1]" # e.g., "Web applications" + - "[Domain 2]" # e.g., "API services" + - "[Domain 3]" # e.g., "Cloud infrastructure" + + # Perspective: Unique viewpoint in 1-2 sentences + perspective: "[Description of how this member approaches architecture reviews and what lens they bring]" + +# ============================================================================ +# EXAMPLES BY TECHNOLOGY STACK +# ============================================================================ + +# JavaScript/TypeScript Example: +# - id: javascript_expert +# name: "Alex Rivera" +# title: "JavaScript Expert" +# specialties: ["Modern JavaScript/TypeScript", "Frontend architecture", "Build tools"] +# disciplines: ["Clean code", "Performance", "Cross-browser compatibility"] +# skillsets: ["ES6+", "Async programming", "Module systems"] +# domains: ["Web applications", "Node.js backends", "Build pipelines"] +# perspective: "Focuses on JavaScript best practices and modern language features" + +# Python Example: +# - id: python_expert +# name: "Dr. Sarah Chen" +# title: "Python Expert" +# specialties: ["Python best practices", "Package architecture", "Type hints"] +# disciplines: ["Pythonic code", "Testing patterns", "Performance"] +# skillsets: ["Modern Python (3.10+)", "Async/await", "Data structures"] +# domains: ["Backend services", "Data processing", "APIs"] +# perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" + +# Ruby Example: +# - id: ruby_expert +# name: "Marcus Johnson" +# title: "Ruby Expert" +# specialties: ["Ruby idioms", "Metaprogramming", "Rails patterns"] +# disciplines: ["Convention over configuration", "DRY", "Expressive code"] +# skillsets: ["Ruby 3.x", "Rails architecture", "Gem development"] +# domains: ["Web applications", "API services", "Background jobs"] +# perspective: "Emphasizes Ruby's elegance and Rails conventions" + +# Go Example: +# - id: go_expert +# name: "Dmitri Ivanov" +# title: "Go Expert" +# specialties: ["Idiomatic Go", "Concurrency", "Service architecture"] +# disciplines: ["Simplicity", "Composition", "Clear error handling"] +# skillsets: ["Goroutines/channels", "Standard library", "Performance"] +# domains: ["Microservices", "Cloud-native", "CLI tools"] +# perspective: "Advocates for Go's simplicity and effective concurrency" + +# Rust Example: +# - id: rust_expert +# name: "Katya Volkov" +# title: "Rust Expert" +# specialties: ["Memory safety", "Zero-cost abstractions", "Systems programming"] +# disciplines: ["Ownership/borrowing", "Type-driven design", "Performance"] +# skillsets: ["Rust idioms", "Async Rust", "Unsafe code"] +# domains: ["Systems software", "Performance-critical code", "Embedded"] +# perspective: "Emphasizes Rust's safety guarantees and performance" + +# React Specialist Example: +# - id: react_specialist +# name: "Emma Rodriguez" +# title: "React Specialist" +# specialties: ["React patterns", "Component architecture", "State management"] +# disciplines: ["Hooks", "Performance optimization", "Accessibility"] +# skillsets: ["React 18+", "Context/Redux", "Testing Library"] +# domains: ["SPAs", "Component libraries", "Web apps"] +# perspective: "Focuses on modern React patterns and component reusability" + +# Django Specialist Example: +# - id: django_specialist +# name: "Rajesh Patel" +# title: "Django Specialist" +# specialties: ["Django architecture", "ORM patterns", "REST APIs"] +# disciplines: ["Explicit over implicit", "Reusable apps", "DRY"] +# skillsets: ["Django 4.x", "DRF", "Celery integration"] +# domains: ["Web applications", "REST APIs", "Admin interfaces"] +# perspective: "Leverages Django's batteries-included philosophy effectively" + +# ============================================================================ +# NAMING CONVENTIONS +# ============================================================================ +# +# IDs: Use lowercase with underscores +# - Good: javascript_expert, react_specialist, python_expert +# - Bad: JavaScriptExpert, react-specialist, Python Expert +# +# Names: Use real-sounding names (first and last) +# - Good: "Alex Rivera", "Dr. Sarah Chen", "Marcus Johnson" +# - Bad: "JavaScript Expert", "Python Dev", "The Architect" +# +# Titles: Professional role titles +# - Good: "JavaScript Expert", "React Specialist", "Python Expert" +# - Bad: "JS Guy", "The React Person", "Python Dev" +# +# ============================================================================ +# TIPS FOR GOOD MEMBERS +# ============================================================================ +# +# 1. Be specific: "Modern JavaScript/TypeScript" not just "JavaScript" +# 2. Match your stack: Add specialists for YOUR technologies +# 3. Don't overload: 5-7 technology specialists + core members is plenty +# 4. Unique perspectives: Each member should bring a distinct viewpoint +# 5. Balance depth and breadth: Mix deep specialists with generalists +# 6. Consider project phase: Startups need different members than enterprises +# 7. Team size matters: Larger teams can support more specialists diff --git a/.architecture/.claude/skills/setup-architect/references/customization-guide.md b/.architecture/.claude/skills/setup-architect/references/customization-guide.md new file mode 100644 index 0000000..c0bd91c --- /dev/null +++ b/.architecture/.claude/skills/setup-architect/references/customization-guide.md @@ -0,0 +1,490 @@ +# Customization Guide + +This document describes how to customize the AI Software Architect framework for your project's specific technology stack, team, and practices. + +## Table of Contents + +1. [Customize Architecture Team Members](#customize-architecture-team-members) +2. [Customize Architectural Principles](#customize-architectural-principles) +3. [Update CLAUDE.md Integration](#update-claudemd-integration) +4. [Configuration Options](#configuration-options) + +--- + +## Customize Architecture Team Members + +The framework uses a roster of specialized architecture reviewers in `.architecture/members.yml`. Customize this roster based on your project's technology stack. + +### Member YAML Structure + +See [../assets/member-template.yml](../assets/member-template.yml) for the complete template. + +Each member includes: +- `id`: Unique identifier (lowercase, underscores) +- `name`: Display name +- `title`: Role/title +- `specialties`: Array of specialty areas +- `disciplines`: Array of discipline focuses +- `skillsets`: Array of specific skills +- `domains`: Array of domain areas +- `perspective`: Description of unique viewpoint + +### Technology Stack-Specific Members + +Add specialists based on your detected technology stack: + +#### JavaScript/TypeScript Projects + +```yaml +- id: javascript_expert + name: "Alex Rivera" + title: "JavaScript Expert" + specialties: + - "Modern JavaScript/TypeScript" + - "Frontend architecture" + - "Build tools" + disciplines: + - "Clean code" + - "Performance" + - "Cross-browser compatibility" + skillsets: + - "ES6+" + - "Async programming" + - "Module systems" + domains: + - "Web applications" + - "Node.js backends" + - "Build pipelines" + perspective: "Focuses on JavaScript best practices and modern language features" +``` + +**Additional specialists to consider**: +- React/Vue/Angular Specialist (if using these frameworks) +- Node.js Expert (for backend projects) +- TypeScript Specialist (for TypeScript-heavy projects) + +#### Python Projects + +```yaml +- id: python_expert + name: "Dr. Sarah Chen" + title: "Python Expert" + specialties: + - "Python best practices" + - "Package architecture" + - "Type hints and mypy" + disciplines: + - "Pythonic code" + - "Testing patterns" + - "Performance optimization" + skillsets: + - "Modern Python (3.10+)" + - "Async/await" + - "Data structures" + domains: + - "Backend services" + - "Data processing" + - "API development" + perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" +``` + +**Additional specialists**: +- Django/Flask/FastAPI Specialist (based on framework) +- Data Engineering Specialist (for data-heavy projects) +- ML/AI Specialist (for ML projects) + +#### Ruby Projects + +```yaml +- id: ruby_expert + name: "Marcus Johnson" + title: "Ruby Expert" + specialties: + - "Ruby idioms" + - "Metaprogramming" + - "Rails patterns" + disciplines: + - "Convention over configuration" + - "DRY principles" + - "Expressive code" + skillsets: + - "Ruby 3.x features" + - "Rails architecture" + - "Gem development" + domains: + - "Web applications" + - "API services" + - "Background jobs" + perspective: "Emphasizes Ruby's elegance and Rails conventions for rapid development" +``` + +**Additional specialists**: +- Rails Architect (for Rails projects) +- Ruby Performance Specialist (for high-traffic applications) + +#### Java Projects + +```yaml +- id: java_expert + name: "Jennifer Park" + title: "Java Expert" + specialties: + - "Enterprise Java" + - "Design patterns" + - "JVM optimization" + disciplines: + - "Object-oriented design" + - "SOLID principles" + - "Clean architecture" + skillsets: + - "Modern Java (17+)" + - "Spring ecosystem" + - "Microservices" + domains: + - "Enterprise applications" + - "Distributed systems" + - "Cloud services" + perspective: "Focuses on maintainable enterprise patterns and modern Java practices" +``` + +**Additional specialists**: +- Spring Boot Specialist +- Microservices Architect + +#### Go Projects + +```yaml +- id: go_expert + name: "Dmitri Ivanov" + title: "Go Expert" + specialties: + - "Idiomatic Go" + - "Concurrency patterns" + - "Service architecture" + disciplines: + - "Simplicity" + - "Composition over inheritance" + - "Clear error handling" + skillsets: + - "Goroutines and channels" + - "Standard library" + - "Performance profiling" + domains: + - "Microservices" + - "Cloud-native applications" + - "CLI tools" + perspective: "Advocates for Go's simplicity philosophy and effective concurrency" +``` + +**Additional specialists**: +- Microservices Architect +- Cloud-Native Specialist + +#### Rust Projects + +```yaml +- id: rust_expert + name: "Katya Volkov" + title: "Rust Expert" + specialties: + - "Memory safety" + - "Zero-cost abstractions" + - "Systems programming" + disciplines: + - "Ownership and borrowing" + - "Type-driven design" + - "Performance optimization" + skillsets: + - "Rust idioms" + - "Async Rust" + - "Unsafe code" + domains: + - "Systems software" + - "Performance-critical code" + - "Embedded systems" + perspective: "Emphasizes Rust's safety guarantees and performance characteristics" +``` + +**Additional specialists**: +- Systems Programmer +- Performance Specialist (Rust-specific) + +### Editing Members + +**To add a member**: +1. Copy the template from `assets/member-template.yml` +2. Fill in all fields appropriately +3. Add to `.architecture/members.yml` in the `members:` array +4. Choose a unique `id` (use lowercase with underscores) + +**To remove a member**: +1. Delete their entry from `.architecture/members.yml` +2. They won't appear in future reviews + +**To modify a member**: +1. Edit their entry in `.architecture/members.yml` +2. Changes apply to all future reviews + +### Core Members (Keep These) + +These core members should remain for all projects: +- **Systems Architect**: Overall architecture coherence +- **Domain Expert**: Business domain representation +- **Security Specialist**: Security analysis +- **Performance Specialist**: Performance and scalability +- **Maintainability Expert**: Code quality and technical debt +- **Pragmatic Enforcer**: YAGNI enforcement (if pragmatic mode enabled) + +**Add technology specialists, don't replace core members.** + +--- + +## Customize Architectural Principles + +The framework's architectural principles in `.architecture/principles.md` should be augmented with framework/technology-specific principles. + +### Framework-Specific Principles + +Add principles specific to your project's frameworks: + +#### React Projects + +**Component Composition**: +- Favor composition over inheritance +- Build reusable, focused components +- Use children props for flexibility + +**State Management**: +- Lift state only when necessary +- Use context for cross-cutting concerns +- Consider state management libraries for complex state + +**Hooks Best Practices**: +- Follow Rules of Hooks +- Custom hooks for reusable logic +- useEffect dependencies matter + +**Props Down, Events Up**: +- Data flows down via props +- Changes flow up via callbacks +- Unidirectional data flow + +#### Rails Projects + +**Convention Over Configuration**: +- Follow Rails conventions +- Don't fight the framework +- Configure only when necessary + +**DRY (Don't Repeat Yourself)**: +- Extract common code +- Use concerns and modules +- Avoid duplication across models/controllers + +**Fat Models, Skinny Controllers**: +- Business logic in models +- Controllers orchestrate only +- Keep views logic-free + +**RESTful Design**: +- Use resourceful routing +- Standard CRUD patterns +- Nested resources where appropriate + +#### Django Projects + +**Explicit Over Implicit**: +- Make behavior clear +- Avoid magic +- Prefer explicit configuration + +**Reusable Apps**: +- Design apps to be reusable +- Clear boundaries and interfaces +- Minimal coupling between apps + +**Use Built-In Features**: +- Leverage Django's admin +- Use ORM effectively +- Don't reinvent wheels + +**Template Inheritance**: +- Base templates for layouts +- Block-based composition +- DRY template code + +### Adding Custom Principles + +**Format**: +```markdown +## [Principle Number]. [Principle Name] + +[Description of the principle and why it matters] + +**In Practice**: +- [Specific application 1] +- [Specific application 2] +- [Specific application 3] + +**Anti-patterns to Avoid**: +- [Anti-pattern 1] +- [Anti-pattern 2] + +**Examples**: +[Code examples showing the principle in action] +``` + +**Where to add**: +- Append to `.architecture/principles.md` +- After the core principles (Livable Code, Clarity over Cleverness, etc.) +- Before any project-specific principles + +--- + +## Update CLAUDE.md Integration + +If your project has a `CLAUDE.md` file for Claude Code integration, append framework usage instructions. + +### Template + +Add this section to your project's `CLAUDE.md`: + +```markdown +## AI Software Architect Framework + +This project uses the AI Software Architect framework for architectural decision tracking and reviews. + +### Available Commands + +- **Create ADR**: "Create ADR for [decision]" +- **Architecture Review**: "Start architecture review for version X.Y.Z" +- **Specialist Review**: "Ask [specialist role] to review [target]" +- **Implementation**: "Implement [feature] as the architects" +- **List Members**: "List architecture members" +- **Status**: "What's our architecture status?" + +### Documentation + +All architecture documentation is in `.architecture/`: +- **ADRs**: `.architecture/decisions/adrs/` +- **Reviews**: `.architecture/reviews/` +- **Principles**: `.architecture/principles.md` +- **Team**: `.architecture/members.yml` +``` + +### Important Notes + +**Do NOT include**: +- Setup instructions (setup is one-time) +- Framework internals +- Implementation details + +**DO include**: +- Usage commands +- Where to find documentation +- How to invoke skills + +### Location + +Append to `CLAUDE.md` in project root (if it exists). If `CLAUDE.md` doesn't exist, you can create it or skip this step. + +--- + +## Configuration Options + +The framework's behavior is controlled via `.architecture/config.yml`. + +### Pragmatic Mode + +```yaml +pragmatic_mode: + enabled: true + intensity: balanced # strict | balanced | lenient + applies_to: + - reviews + - adrs + - implementation + exemptions: + - security + - compliance + - accessibility + - data_loss_prevention +``` + +**Intensity levels**: +- `strict`: Ratio target <1.0 (complexity < necessity) +- `balanced`: Ratio target <1.5 (moderate complexity acceptable) +- `lenient`: Ratio target <2.0 (strategic complexity tolerated) + +**When to enable**: +- **Strict**: MVP, tight timeline, small team +- **Balanced**: Normal development, sustainable pace +- **Lenient**: Platform building, long-term projects + +### Implementation Guidance + +```yaml +implementation: + enabled: true + methodology: TDD # TDD | BDD | DDD | Test-Last | Exploratory + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + languages: + ruby: + style_guide: "Rubocop" + test_framework: "RSpec" + javascript: + style_guide: "Airbnb" + test_framework: "Jest" +``` + +**Usage**: +When you say "Implement [feature] as the architects", the framework applies this methodology automatically. + +### Review Configuration + +```yaml +reviews: + frequency: + major_versions: required + features: optional + regular: quarterly + auto_track_actions: true + require_success_metrics: true +``` + +--- + +## Customization Checklist + +After installation, customize: + +- [ ] Add technology-specific members to `.architecture/members.yml` +- [ ] Add framework-specific principles to `.architecture/principles.md` +- [ ] Update `.architecture/config.yml` with team preferences +- [ ] Append framework usage to `CLAUDE.md` (if exists) +- [ ] Review and adjust pragmatic mode settings +- [ ] Configure implementation methodology (if using) +- [ ] Run initial system analysis +- [ ] Verify setup with "What's our architecture status?" + +--- + +## Best Practices + +**Do**: +- Customize based on actual project needs +- Add specialists for primary technologies +- Keep core members (Systems, Domain, Security, etc.) +- Tailor principles to your stack +- Enable pragmatic mode appropriately + +**Don't**: +- Add every possible specialist (overwhelms reviews) +- Remove core members (they provide essential perspectives) +- Copy principles verbatim without customization +- Enable strict pragmatic mode for established projects +- Skip initial analysis (provides valuable baseline) + +For the initial analysis template, see [../assets/initial-analysis-template.md](../assets/initial-analysis-template.md). diff --git a/.architecture/.claude/skills/setup-architect/references/installation-procedures.md b/.architecture/.claude/skills/setup-architect/references/installation-procedures.md new file mode 100644 index 0000000..594b5f3 --- /dev/null +++ b/.architecture/.claude/skills/setup-architect/references/installation-procedures.md @@ -0,0 +1,403 @@ +# Installation Procedures - Detailed Guide + +This document provides detailed step-by-step procedures for installing the AI Software Architect framework in a project. + +## Table of Contents + +1. [Prerequisites Verification](#prerequisites-verification) +2. [Framework Installation](#framework-installation) +3. [Agent Documentation Setup](#agent-documentation-setup) +4. [Cleanup Procedures](#cleanup-procedures) +5. [Troubleshooting](#troubleshooting) + +--- + +## Prerequisites Verification + +Before installing, verify the environment is ready. + +### Check Framework is Cloned + +The framework must be cloned into `.architecture/.architecture/`: + +```bash +if [ ! -d ".architecture/.architecture" ]; then + echo "❌ Framework not found. Please clone first:" + echo " git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture" + exit 1 +fi + +echo "✅ Framework found at .architecture/.architecture" +``` + +### Confirm Project Root + +Verify we're in the project root directory: + +```bash +# Look for common project markers +if [ -f "package.json" ] || [ -f "Gemfile" ] || [ -f "requirements.txt" ] || [ -f "go.mod" ] || [ -f "Cargo.toml" ]; then + echo "✅ In project root" +else + echo "⚠️ No project markers found. Are you in the project root?" + # Continue but warn user +fi +``` + +--- + +## Framework Installation + +### Step 1: Copy Framework Files + +Copy the framework from the cloned location to `.architecture/`: + +```bash +# Copy framework files (they're in the .architecture subfolder of the cloned repo) +cp -r .architecture/.architecture/.architecture/* .architecture/ + +# Verify copy succeeded +if [ $? -eq 0 ]; then + echo "✅ Framework files copied" +else + echo "❌ Copy failed" + exit 1 +fi +``` + +### Step 2: Remove Clone Directory + +Clean up the temporary clone directory: + +```bash +# Remove the clone directory (no longer needed) +rm -rf .architecture/.architecture + +if [ ! -d ".architecture/.architecture" ]; then + echo "✅ Clone directory removed" +fi +``` + +### Step 3: Create Directory Structure + +Create all required directories: + +```bash +# Create coding assistant directories +mkdir -p .coding-assistants/claude +mkdir -p .coding-assistants/cursor +mkdir -p .coding-assistants/codex + +# Create architecture directories +mkdir -p .architecture/decisions/adrs +mkdir -p .architecture/reviews +mkdir -p .architecture/recalibration +mkdir -p .architecture/comparisons +mkdir -p .architecture/agent_docs + +echo "✅ Directory structure created" +``` + +### Step 4: Initialize Configuration + +Copy the default configuration file: + +```bash +# Copy config template if exists +if [ -f ".architecture/templates/config.yml" ]; then + cp .architecture/templates/config.yml .architecture/config.yml + echo "✅ Configuration initialized" +else + echo "⚠️ No config template found" +fi +``` + +**Verify installation**: +```bash +# Check key directories exist +test -d .architecture/decisions/adrs && \ +test -d .architecture/reviews && \ +test -f .architecture/members.yml && \ +test -f .architecture/principles.md && \ +echo "✅ Installation verified" || echo "❌ Installation incomplete" +``` + +--- + +## Agent Documentation Setup + +Following ADR-006 (Progressive Disclosure), create agent-specific documentation. + +### Copy Existing Agent Docs (If Available) + +If the framework includes agent documentation, copy it as templates: + +```bash +if [ -d ".architecture/agent_docs" ]; then + # Backup existing files as templates + if [ -f ".architecture/agent_docs/workflows.md" ]; then + cp .architecture/agent_docs/workflows.md .architecture/agent_docs/workflows.md.template + fi + + if [ -f ".architecture/agent_docs/reference.md" ]; then + cp .architecture/agent_docs/reference.md .architecture/agent_docs/reference.md.template + fi + + if [ -f ".architecture/agent_docs/README.md" ]; then + cp .architecture/agent_docs/README.md .architecture/agent_docs/README.md.template + fi + + echo "✅ Agent docs backed up as templates" +fi +``` + +### Create Agent Documentation Files + +Create three core documentation files: + +**1. workflows.md** - Procedural documentation: +- Setup procedures (Claude Skills, Direct Clone, MCP) +- Architecture review process +- ADR creation workflow +- Implementation with methodology +- Step-by-step instructions for common tasks + +**2. reference.md** - Reference documentation: +- Pragmatic mode details and intensity levels +- Recalibration process +- Advanced configuration options +- Troubleshooting guide +- Configuration examples + +**3. README.md** - Navigation guide: +- Progressive disclosure explanation +- Quick navigation table (task → section) +- How to find information +- When to read which document + +**Content Guidelines**: +- AGENTS.md: ~400 lines, always-relevant overview +- agent_docs/: Task-specific details loaded as needed +- Keep workflows procedural and actionable +- Reference should be comprehensive but organized +- README should help users navigate effectively + +--- + +## Cleanup Procedures + +Remove framework development files that shouldn't be in user projects. + +### Remove Documentation Files + +```bash +# Remove framework documentation (users don't need these) +rm -f .architecture/README.md +rm -f .architecture/USAGE*.md +rm -f .architecture/INSTALL.md + +echo "✅ Framework docs removed" +``` + +### Remove Framework Git Repository + +**⚠️ CRITICAL SAFEGUARDS - READ CAREFULLY** + +Removing `.git` directory is destructive. Follow these safeguards: + +#### Safeguard 1: Verify Project Root + +```bash +# Check we're in project root (NOT in .architecture/) +if [ ! -f "package.json" ] && [ ! -f ".git/config" ] && [ ! -f "Gemfile" ]; then + echo "❌ ERROR: Not in project root. Stopping." + echo " Current directory: $(pwd)" + exit 1 +fi + +echo "✅ Verified in project root" +``` + +#### Safeguard 2: Verify Target Exists + +```bash +# Check .architecture/.git exists before attempting removal +if [ ! -d ".architecture/.git" ]; then + echo "✅ No .git directory to remove" + exit 0 +fi + +echo "⚠️ Found .architecture/.git - proceeding with verification" +``` + +#### Safeguard 3: Verify It's the Template Repo + +```bash +# Verify .git/config contains template repository URL +if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then + echo "❌ ERROR: .architecture/.git doesn't appear to be template repo" + echo " Found config:" + cat .architecture/.git/config 2>/dev/null || echo " (could not read config)" + echo "" + echo "⛔ STOPPING - User confirmation required" + exit 1 +fi + +echo "✅ Verified template repository" +``` + +#### Safeguard 4: Use Absolute Path + +```bash +# Get absolute path (never use relative paths with rm -rf) +ABS_PATH="$(pwd)/.architecture/.git" + +echo "Removing: $ABS_PATH" + +# Verify path is what we expect +if [[ "$ABS_PATH" != *"/.architecture/.git" ]]; then + echo "❌ ERROR: Path doesn't match expected pattern" + echo " Path: $ABS_PATH" + exit 1 +fi + +echo "✅ Path verified" +``` + +#### Safeguard 5: Execute Removal + +```bash +# Remove with absolute path (no wildcards!) +rm -rf "$ABS_PATH" + +# Verify removal +if [ ! -d ".architecture/.git" ]; then + echo "✅ Template .git removed successfully" +else + echo "⚠️ .git directory still exists" +fi +``` + +**Complete Safe Removal Script**: + +```bash +#!/bin/bash +# Safe removal of template repository .git directory + +set -e # Exit on any error + +echo "=== Safe .git Removal ===" + +# 1. Verify project root +if [ ! -f "package.json" ] && [ ! -f ".git/config" ] && [ ! -f "Gemfile" ]; then + echo "❌ Not in project root" + exit 1 +fi + +# 2. Check target exists +if [ ! -d ".architecture/.git" ]; then + echo "✅ No .git to remove" + exit 0 +fi + +# 3. Verify template repo +if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then + echo "❌ Not template repo - STOPPING" + exit 1 +fi + +# 4. Get absolute path +ABS_PATH="$(pwd)/.architecture/.git" + +# 5. Verify path pattern +if [[ "$ABS_PATH" != *"/.architecture/.git" ]]; then + echo "❌ Unexpected path - STOPPING" + exit 1 +fi + +# 6. Execute removal +echo "Removing: $ABS_PATH" +rm -rf "$ABS_PATH" + +# 7. Verify success +if [ ! -d ".architecture/.git" ]; then + echo "✅ Successfully removed" +else + echo "❌ Removal failed" + exit 1 +fi +``` + +--- + +## Troubleshooting + +### Common Issues + +**Issue**: "Framework not found at .architecture/.architecture" +- **Cause**: Framework not cloned +- **Solution**: `git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture` + +**Issue**: "Permission denied" errors during copy +- **Cause**: Insufficient file permissions +- **Solution**: `chmod -R u+rw .architecture/` + +**Issue**: "Directory already exists" during mkdir +- **Cause**: Framework already partially installed +- **Solution**: Check if framework is already set up: `ls -la .architecture/` + +**Issue**: ".git removal verification failed" +- **Cause**: Safety check detected unexpected repository +- **Solution**: Manually verify `.architecture/.git/config` contains template repo URL +- **Never**: Override safety checks without understanding why they failed + +**Issue**: "No project markers found" +- **Cause**: May not be in project root +- **Solution**: Verify you're in the correct directory, proceed with caution + +### Verification Commands + +**Check installation completeness**: +```bash +# Required directories +test -d .architecture/decisions/adrs && echo "✅ ADRs directory" || echo "❌ Missing ADRs" +test -d .architecture/reviews && echo "✅ Reviews directory" || echo "❌ Missing reviews" + +# Required files +test -f .architecture/members.yml && echo "✅ Members file" || echo "❌ Missing members" +test -f .architecture/principles.md && echo "✅ Principles file" || echo "❌ Missing principles" +test -f .architecture/config.yml && echo "✅ Config file" || echo "❌ Missing config" +``` + +**Check for leftover framework files**: +```bash +# These should NOT exist after cleanup +test -f .architecture/README.md && echo "⚠️ Framework README still present" +test -d .architecture/.git && echo "⚠️ Template .git still present" +test -d .architecture/.architecture && echo "⚠️ Clone directory still present" +``` + +### Recovery + +**If installation fails mid-process**: +1. Remove partial installation: `rm -rf .architecture/` (if nothing important there yet) +2. Re-clone framework: `git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture` +3. Start over from Step 1 + +**If you accidentally removed the wrong .git**: +- If it was your project's .git: **Restore from backup immediately** +- If you don't have a backup: Recovery may not be possible +- This is why the safeguards are critical + +--- + +## Post-Installation + +After installation is complete: + +1. **Verify setup**: Run `"What's our architecture status?"` +2. **Review customizations**: Check `.architecture/members.yml` and `.architecture/principles.md` +3. **Run initial analysis**: The setup process creates an initial system analysis +4. **Create first ADR**: Document an early architectural decision + +For customization procedures, see [customization-guide.md](./customization-guide.md). diff --git a/.architecture/.claude/skills/specialist-review/SKILL.md b/.architecture/.claude/skills/specialist-review/SKILL.md new file mode 100644 index 0000000..26011fc --- /dev/null +++ b/.architecture/.claude/skills/specialist-review/SKILL.md @@ -0,0 +1,199 @@ +--- +name: specialist-review +description: Conducts a focused review from ONE specific specialist's perspective (e.g., Security Specialist, Performance Expert). Use when the user requests "Ask [specialist role] to review [target]", "Get [specialist]'s opinion on [topic]", "Have [role] review [code/component]", or when they want deep expertise in ONE specific domain. Do NOT use for comprehensive multi-perspective reviews (use architecture-review instead) or for listing available specialists (use list-members instead). +allowed-tools: Read,Write,Glob,Grep +--- + +# Specialist Review + +Conducts focused reviews from a specific specialist's perspective. + +## Overview + +This skill performs a deep-dive review from one specialist's expertise: +1. Parses which specialist and what target to review +2. Loads or creates the specialist in the team +3. Analyzes the target from that specialist's unique lens +4. Conducts expert-level review with specific findings +5. Generates detailed review document +6. Reports key findings and recommendations + +**Specialist guidance**: [references/specialist-perspectives.md](references/specialist-perspectives.md) +**Review template**: [assets/specialist-review-template.md](assets/specialist-review-template.md) + +## High-Level Workflow + +### 1. Parse Request + +Extract from user request: +- **Specialist role**: Which expert? (e.g., "Security Specialist", "Performance Expert") +- **Target**: What to review? (e.g., "API authentication", "database queries") + +**Input validation**: Apply sanitization from `_patterns.md`: +- Specialist role: Alphanumeric + spaces/hyphens only, convert to kebab-case for filename +- Target: Remove dangerous characters, convert to kebab-case +- Combined filename length: max 100 characters + +**Examples**: +- "Security Specialist" + "API authentication" → `security-specialist-api-authentication.md` +- "Ruby Expert" + "ActiveRecord models" → `ruby-expert-activerecord-models.md` + +### 2. Load or Create Specialist + +Check `.architecture/members.yml` for the requested specialist. + +**If exists**: Load their profile (specialties, disciplines, domains, perspective) + +**If doesn't exist**: Create new member and add to `members.yml`: +```yaml +- id: [specialist_id] + name: "[Person Name]" + title: "[Specialist Title]" + specialties: ["[Specialty 1]", "[Specialty 2]", "[Specialty 3]"] + disciplines: ["[Discipline 1]", "[Discipline 2]"] + skillsets: ["[Skill 1]", "[Skill 2]"] + domains: ["[Domain 1]", "[Domain 2]"] + perspective: "[Their unique viewpoint]" +``` + +Inform user: "I've added [Name] ([Title]) to your architecture team." + +**Specialist guidance**: See [references/specialist-perspectives.md § Creating New Specialists](references/specialist-perspectives.md#creating-new-specialists) + +### 3. Analyze Target + +Use available tools to examine the target: +- `Glob` to find relevant files +- `Grep` to search for patterns +- `Read` to examine code, configs, documentation + +**Understand**: +- Current implementation +- Dependencies and context +- Related ADRs or documentation +- Patterns being used + +### 4. Conduct Expert Review + +Adopt the specialist's persona and expertise. Apply their unique lens. + +**Review from specialist's perspective**: +- Focus on their domain of expertise (security, performance, maintainability, etc.) +- Provide expert-level insights, not surface-level comments +- Reference specific files, line numbers, and code +- Explain impact and provide actionable fixes + +**Review structure** (for each specialist): +- Specialist perspective and focus +- Executive summary with assessment +- Current implementation description +- Strengths identified +- Concerns with severity and specific fixes +- Recommendations (immediate, short-term, long-term) +- Best practices and industry standards +- Code examples showing issues and improvements +- Risks if not addressed +- Success metrics + +**Detailed guidance by specialist**: [references/specialist-perspectives.md § Core Specialists](references/specialist-perspectives.md#core-specialists) + +**Review template**: Load and fill [assets/specialist-review-template.md](assets/specialist-review-template.md) + +### 5. Create Review Document + +Load the template: +```bash +cat .claude/skills/specialist-review/assets/specialist-review-template.md +``` + +Fill in all sections with detailed, specific findings. + +**Save to**: `.architecture/reviews/[specialist-role]-[target].md` + +**Format**: `[role-kebab-case]-[target-kebab-case].md` + +### 6. Report to User + +Provide concise summary: + +``` +[Specialist Title] Review Complete: [Target] + +Reviewer: [Specialist Name] +Location: .architecture/reviews/[filename].md +Assessment: [Overall assessment] + +Key Findings: +1. [Most important finding] +2. [Second finding] +3. [Third finding] + +Priority Actions: +1. [Critical action 1] +2. [Critical action 2] + +Critical Issues: [Count] +High Priority: [Count] +Total Recommendations: [Count] + +Next Steps: +- Address critical issues immediately +- Review detailed findings in document +- [Specific next action based on findings] +``` + +## Specialist Quick Reference + +**Core Specialists** (see [references/specialist-perspectives.md](references/specialist-perspectives.md)): +- **Security Specialist**: Authentication, authorization, vulnerabilities, OWASP +- **Performance Specialist**: Query optimization, caching, bottlenecks, scalability +- **Domain Expert**: Business logic, domain models, ubiquitous language +- **Maintainability Expert**: Code quality, technical debt, testability +- **Systems Architect**: Architecture patterns, component interaction, coherence +- **AI Engineer**: LLM integration, agent orchestration, evaluation + +**Technology Specialists**: +- **JavaScript/Python/Ruby/Go/Rust Expert**: Language-specific best practices +- **Framework Specialists**: React, Rails, Django, Spring, etc. + +**Creating new specialists**: Automatically added to team when requested + +## Related Skills + +**Before Specialist Review**: +- `list-members` - See available specialists +- `architecture-status` - Check if area previously reviewed + +**After Specialist Review**: +- `create-adr` - Document decisions from findings +- `architecture-review` - Include in comprehensive review +- Request another specialist for different domain perspective + +**Workflow Examples**: +1. Security review → Finds auth issue → Create ADR → Performance review +2. Ruby Expert review → Rails-specific guidance → Implement → Follow-up review +3. Full architecture review → Deep-dive with specialists on concerns + +## Quality Guidelines + +**Excellent specialist reviews**: +- Stay laser-focused within domain +- Provide expert-level, not generic, insights +- Reference exact files and line numbers +- Include code examples (current vs recommended) +- Explain "why", not just "what" +- Consider context and constraints +- Provide actionable, implementable advice +- Estimate effort for each recommendation + +**Avoid**: +- Straying outside specialist's domain +- Vague or surface-level comments +- Missing specific locations +- Recommendations without implementation guidance + +## Documentation + +- **Specialist guidance**: [references/specialist-perspectives.md](references/specialist-perspectives.md) +- **Review template**: [assets/specialist-review-template.md](assets/specialist-review-template.md) +- **Common patterns**: [../_patterns.md](../_patterns.md) diff --git a/.architecture/.claude/skills/specialist-review/assets/specialist-review-template.md b/.architecture/.claude/skills/specialist-review/assets/specialist-review-template.md new file mode 100644 index 0000000..9e197cd --- /dev/null +++ b/.architecture/.claude/skills/specialist-review/assets/specialist-review-template.md @@ -0,0 +1,296 @@ +# [Specialist Title] Review: [Target] + +**Reviewer**: [Specialist Name], [Specialist Title] +**Target**: [What's being reviewed - be specific] +**Date**: [YYYY-MM-DD] +**Review Type**: Specialist Review + +--- + +## Specialist Perspective + +**Focus**: [What this specialist looks for based on their expertise] + +[Brief explanation of this specialist's unique lens and what they prioritize in reviews] + +--- + +## Executive Summary + +[Write 2-3 sentences summarizing the review findings] + +**Overall Assessment**: Excellent | Good | Adequate | Needs Improvement | Critical Issues + +**Key Findings**: +- [Most significant finding] +- [Second most significant finding] +- [Third most significant finding] + +**Critical Actions Required**: [Number of critical items] + +--- + +## Current Implementation + +[Describe what was reviewed with specific file references and context] + +**Scope Reviewed**: +- [Component/feature 1] +- [Component/feature 2] +- [Component/feature 3] + +**Key Components**: +- `[file.ext:line]`: [Brief description of component] +- `[file.ext:line]`: [Brief description] +- `[file.ext:line]`: [Brief description] + +**Pattern/Approach Used**: [Describe the pattern or approach currently implemented] + +--- + +## Assessment + +### Strengths + +[Identify what's working well from this specialist's perspective] + +1. **[Strength Title]**: [Description of what's good and why it matters from this specialist's viewpoint] + +2. **[Strength Title]**: [Description] + +3. **[Strength Title]**: [Description] + +[Aim for 3-5 strengths - recognize good practices] + +### Concerns + +[Identify issues, weaknesses, and areas needing improvement] + +1. **[Concern Title]** (Severity: Critical | High | Medium | Low) + - **Issue**: [Clear description of what's wrong or could be improved] + - **Location**: `[file.ext:line-range]` + - **Impact**: [What problems this causes - performance, security, maintainability, etc.] + - **Fix**: [Specific, actionable recommendation] + - **Effort**: Small | Medium | Large + +2. **[Concern Title]** (Severity: Critical | High | Medium | Low) + - **Issue**: [Description] + - **Location**: `[file.ext:line]` + - **Impact**: [Impact] + - **Fix**: [Recommendation] + - **Effort**: Small | Medium | Large + +3. **[Concern Title]** (Severity: Critical | High | Medium | Low) + - [Details] + +[Continue with additional concerns - prioritize by severity] + +### Observations + +[Neutral observations that aren't necessarily problems but worth noting] + +- **[Observation]**: [Description and context] +- **[Observation]**: [Description] +- **[Observation]**: [Description] + +--- + +## Recommendations + +### Immediate (0-2 Weeks) + +[Critical and high-priority items that should be addressed right away] + +1. **[Recommendation Title]** + - **What**: [Specific action to take] + - **Why**: [Reason and benefit] + - **How**: [Implementation approach] + - **Effort**: Small | Medium | Large + - **Priority**: Critical | High + +2. **[Recommendation]** + - [Details] + +### Short-term (2-8 Weeks) + +[Important improvements to address in the near term] + +1. **[Recommendation Title]** + - **What**: [Action] + - **Why**: [Reason] + - **How**: [Approach] + - **Effort**: Small | Medium | Large + - **Priority**: Medium + +2. **[Recommendation]** + - [Details] + +### Long-term (2-6 Months) + +[Strategic improvements for future consideration] + +1. **[Recommendation Title]** + - **What**: [Action] + - **Why**: [Strategic value] + - **How**: [High-level approach] + - **Effort**: Medium | Large + - **Priority**: Low | Nice-to-Have + +2. **[Recommendation]** + - [Details] + +--- + +## Best Practices + +[Industry best practices relevant to this specialist's domain] + +1. **[Practice Title]**: [Description of best practice and how it applies to this codebase] + +2. **[Practice Title]**: [Description] + +3. **[Practice Title]**: [Description] + +**Industry Standards**: [Reference relevant standards, guidelines, or frameworks] +- [Standard 1]: [How it applies] +- [Standard 2]: [How it applies] + +--- + +## Code Examples + +[Provide concrete code examples showing current issues and recommended improvements] + +### Example 1: [Issue Title] + +**Current Implementation (Problematic)**: +```[language] +[Code snippet showing the concern] +``` + +**Issues**: +- [Issue 1] +- [Issue 2] +- [Issue 3] + +**Recommended Improvement**: +```[language] +[Code snippet showing the improved approach] +``` + +**Benefits**: +- [Benefit 1] +- [Benefit 2] +- [Benefit 3] + +### Example 2: [Issue Title] + +[Repeat structure for additional examples] + +--- + +## Risks + +**If Recommendations Not Addressed**: + +1. **[Risk Title]** (Likelihood: High | Medium | Low, Impact: High | Medium | Low) + - **Description**: [What could go wrong] + - **Timeframe**: [When this might occur] + - **Impact**: [Consequences] + - **Mitigation**: [How to reduce or eliminate risk] + +2. **[Risk Title]** (Likelihood, Impact) + - **Description**: [Risk description] + - **Timeframe**: [When] + - **Impact**: [Consequences] + - **Mitigation**: [How to address] + +3. **[Risk Title]** (Likelihood, Impact) + - [Details] + +--- + +## Success Metrics + +[Define how to measure improvement after implementing recommendations] + +1. **[Metric Name]** + - **Current**: [Baseline value] + - **Target**: [Desired value] + - **Timeline**: [When to achieve] + - **How to Measure**: [Measurement method] + +2. **[Metric Name]**: Current → Target (Timeline) + +3. **[Metric Name]**: Current → Target (Timeline) + +[Examples: +- Test Coverage: 40% → 80% (6 weeks) +- Response Time: 2s → 300ms (4 weeks) +- Security Score: 6/10 → 9/10 (8 weeks) +] + +--- + +## Follow-up + +**Re-Review Recommended**: [When to conduct follow-up review] + +**Success Criteria for Closure**: +- [ ] [Criterion 1] +- [ ] [Criterion 2] +- [ ] [Criterion 3] + +**Next Steps**: +1. [Immediate next step] +2. [Second next step] +3. [Third next step] + +**Related Reviews**: +- [Link to related reviews if any] + +**Related ADRs**: +- [Link to relevant ADRs if decisions are needed] + +--- + +## Appendix + +### Review Scope + +**What Was Reviewed**: +- [Scope item 1] +- [Scope item 2] +- [Scope item 3] + +**What Was Not Reviewed**: +- [Out of scope item 1] +- [Out of scope item 2] + +### Methodology + +This review was conducted by analyzing: +- Code structure and implementation +- [Relevant documentation] +- [Test coverage] +- [Performance metrics] +- [Security scan results] +- [Other relevant inputs] + +### References + +**Documentation Reviewed**: +- [Document 1] +- [Document 2] + +**Standards Referenced**: +- [Standard 1] +- [Standard 2] + +**Tools Used**: +- [Tool 1] +- [Tool 2] + +--- + +**Review Complete** diff --git a/.architecture/.claude/skills/specialist-review/references/specialist-perspectives.md b/.architecture/.claude/skills/specialist-review/references/specialist-perspectives.md new file mode 100644 index 0000000..79754b2 --- /dev/null +++ b/.architecture/.claude/skills/specialist-review/references/specialist-perspectives.md @@ -0,0 +1,511 @@ +# Specialist Perspectives - Review Guidance + +This document provides detailed guidance for conducting reviews from each specialist's unique perspective. + +## Table of Contents + +1. [General Review Approach](#general-review-approach) +2. [Core Specialists](#core-specialists) +3. [Technology Specialists](#technology-specialists) +4. [Creating New Specialists](#creating-new-specialists) + +--- + +## General Review Approach + +All specialist reviews should follow these principles: + +### Stay Focused + +**Do**: +- Laser-focus on your domain of expertise +- Deep-dive within your specialty +- Provide expert-level insights + +**Don't**: +- Stray into other specialists' domains +- Provide surface-level general comments +- Dilute expertise by being too broad + +### Be Specific + +**Always include**: +- Exact file paths and line numbers +- Concrete code examples +- Specific recommendations + +**Example**: +- ❌ "The authentication is insecure" +- ✅ "The authentication in `src/auth/login.ts:45` uses MD5 hashing, which is cryptographically broken. Migrate to bcrypt with salt rounds ≥12." + +### Provide Context + +**Explain**: +- Why this matters (impact) +- Industry standards or best practices +- Trade-offs of recommendations +- Effort required + +### Be Actionable + +**Every concern should include**: +- What's wrong +- Where it is (file:line) +- Impact if not fixed +- Specific fix with implementation approach +- Effort estimate + +--- + +## Core Specialists + +These specialists are part of the framework's core team. + +### Security Specialist + +**Role**: Identifies security vulnerabilities, threats, and risks. + +**Focus Areas**: +- **Authentication**: Login mechanisms, password handling, session management +- **Authorization**: Access control, permissions, role-based access +- **Input Validation**: XSS, SQL injection, command injection prevention +- **Data Protection**: Encryption at rest/transit, PII handling, secrets management +- **OWASP Top 10**: Cross-check against current OWASP vulnerabilities +- **Compliance**: GDPR, HIPAA, PCI-DSS requirements +- **API Security**: Rate limiting, CORS, API keys, OAuth flows +- **Dependencies**: Known CVEs in libraries + +**Review Checklist**: +- [ ] Authentication mechanism reviewed +- [ ] Authorization boundaries checked +- [ ] All user inputs validated +- [ ] Sensitive data encrypted +- [ ] Secrets not hardcoded +- [ ] HTTPS enforced +- [ ] CORS configured correctly +- [ ] Rate limiting implemented +- [ ] Dependencies scanned for CVEs + +**Severity Levels**: +- **Critical**: Exploitable vulnerability, immediate data breach risk +- **High**: Security weakness requiring prompt attention +- **Medium**: Security concern to address in near term +- **Low**: Security improvement opportunity + +**Example Concerns**: +``` +1. **SQL Injection Vulnerability** (Severity: Critical) + - **Issue**: User input directly interpolated into SQL query + - **Location**: `src/db/users.js:23` + - **Impact**: Attacker can read/modify/delete any database record + - **Fix**: Use parameterized queries with prepared statements + - **Code**: + ```javascript + // Current (VULNERABLE) + const query = `SELECT * FROM users WHERE email = '${email}'`; + + // Recommended (SAFE) + const query = 'SELECT * FROM users WHERE email = ?'; + db.query(query, [email]); + ``` +``` + +**Best Practices to Reference**: +- OWASP Secure Coding Practices +- CWE (Common Weakness Enumeration) +- NIST guidelines +- Industry security standards + +--- + +### Performance Specialist + +**Role**: Optimizes system performance, scalability, and resource utilization. + +**Focus Areas**: +- **Query Optimization**: Database query efficiency, indexes, N+1 queries +- **Caching**: Cache strategies, TTL, invalidation, cache hits +- **Resource Utilization**: CPU, memory, disk I/O, network +- **Bottlenecks**: Profiling, hotspots, performance critical paths +- **Load Handling**: Concurrency, async operations, connection pooling +- **Scalability**: Horizontal/vertical scaling, load balancing +- **Frontend Performance**: Bundle size, lazy loading, rendering + +**Review Checklist**: +- [ ] Database queries optimized +- [ ] Proper indexing in place +- [ ] N+1 query problems identified +- [ ] Caching opportunities evaluated +- [ ] Async operations for I/O +- [ ] Resource usage profiled +- [ ] Scalability concerns addressed +- [ ] Frontend bundle size reasonable + +**Metrics to Measure**: +- Response time (p50, p95, p99) +- Throughput (requests/second) +- Database query time +- Cache hit rate +- Memory usage +- CPU utilization + +**Example Concerns**: +``` +1. **N+1 Query Problem** (Severity: High) + - **Issue**: Loading users in loop triggers 1000+ database queries + - **Location**: `src/controllers/orders.js:45-52` + - **Impact**: 15-second page load time, database overload + - **Fix**: Use eager loading to fetch all users in single query + - **Code**: + ```javascript + // Current (INEFFICIENT - N+1 queries) + const orders = await Order.findAll(); + for (const order of orders) { + order.user = await User.findById(order.userId); // N queries! + } + + // Recommended (EFFICIENT - 1 query) + const orders = await Order.findAll({ + include: [{ model: User }] + }); + ``` + - **Expected Improvement**: 15s → 0.3s (50x faster) +``` + +--- + +### Domain Expert + +**Role**: Ensures architecture accurately represents business domain and concepts. + +**Focus Areas**: +- **Domain Models**: Entities, value objects, aggregates +- **Business Logic**: Rules, workflows, calculations +- **Ubiquitous Language**: Consistent terminology +- **Bounded Contexts**: Clear domain boundaries +- **Business Rules**: Validation, invariants, constraints +- **Semantic Accuracy**: Code reflects domain accurately + +**Review Checklist**: +- [ ] Domain concepts clearly modeled +- [ ] Business logic in domain layer (not scattered) +- [ ] Ubiquitous language used consistently +- [ ] Bounded contexts well-defined +- [ ] Business rules enforced +- [ ] Domain invariants protected + +**Example Concerns**: +``` +1. **Anemic Domain Model** (Severity: Medium) + - **Issue**: `Order` class is data container with no business logic + - **Location**: `src/models/Order.js` + - **Impact**: Business logic scattered in controllers, hard to maintain + - **Fix**: Move order calculation and validation into Order class + - **Code**: + ```javascript + // Current (ANEMIC) + class Order { + constructor(items) { + this.items = items; + } + } + // Business logic in controller + const total = order.items.reduce((sum, item) => sum + item.price, 0); + + // Recommended (RICH DOMAIN MODEL) + class Order { + constructor(items) { + this.items = items; + } + + calculateTotal() { + return this.items.reduce((sum, item) => sum + item.price, 0); + } + + applyDiscount(discount) { + if (discount < 0 || discount > 1) { + throw new InvalidDiscountError(); + } + // Domain logic stays with domain object + } + } + ``` +``` + +--- + +### Maintainability Expert + +**Role**: Ensures code is maintainable, evolvable, and understandable. + +**Focus Areas**: +- **Code Quality**: Readability, clarity, simplicity +- **Technical Debt**: Code smells, anti-patterns, cruft +- **Documentation**: Comments, READMEs, inline docs +- **Testability**: Unit tests, test coverage, mocking +- **Complexity**: Cyclomatic complexity, coupling, cohesion +- **Refactoring**: Opportunities to improve structure + +**Review Checklist**: +- [ ] Code is readable and clear +- [ ] Functions/methods are focused +- [ ] Complexity is reasonable +- [ ] Technical debt identified +- [ ] Tests exist and are meaningful +- [ ] Documentation is adequate +- [ ] Code smells flagged + +**Code Smells to Watch For**: +- Long methods (>20-30 lines) +- Large classes (>300 lines) +- Deep nesting (>3 levels) +- Duplicate code +- Magic numbers +- God objects +- Feature envy + +**Example Concerns**: +``` +1. **God Class Anti-pattern** (Severity: Medium) + - **Issue**: `UserService` has 45 methods handling auth, profile, notifications, billing + - **Location**: `src/services/UserService.js` (1,200 lines) + - **Impact**: Hard to understand, test, modify; violates single responsibility + - **Fix**: Split into focused services + - **Recommended Structure**: + ``` + src/services/ + ├── AuthenticationService.js (login, logout, sessions) + ├── UserProfileService.js (profile CRUD) + ├── NotificationService.js (user notifications) + └── BillingService.js (user billing) + ``` + - **Benefit**: Each service <300 lines, single responsibility, easier testing +``` + +--- + +### Systems Architect + +**Role**: Evaluates overall system coherence, patterns, and architectural decisions. + +**Focus Areas**: +- **Architecture Patterns**: MVC, CQRS, Event Sourcing, Microservices +- **Component Interaction**: How pieces fit together +- **Separation of Concerns**: Proper layering and boundaries +- **Scalability**: System design for growth +- **Integration**: External system connections +- **Consistency**: Architectural principles applied consistently + +**Review Checklist**: +- [ ] Architecture pattern appropriately applied +- [ ] Components properly separated +- [ ] Dependencies flow correctly +- [ ] Scalability considered +- [ ] Integration points well-designed +- [ ] Architectural principles followed + +--- + +### AI Engineer + +**Role**: Reviews AI/ML integration, LLM applications, and agent systems. + +**Focus Areas**: +- **LLM Integration**: Prompt design, context management, token efficiency +- **Agent Orchestration**: Multi-agent coordination, task decomposition +- **Evaluation**: Metrics, benchmarks, quality assessment +- **Observability**: Logging, tracing, debugging AI behavior +- **RAG Systems**: Retrieval strategies, context relevance +- **Prompt Engineering**: Template design, chain-of-thought, few-shot + +**Review Checklist**: +- [ ] Prompts are well-designed and tested +- [ ] Context windows managed efficiently +- [ ] Evaluation metrics defined +- [ ] Observability implemented +- [ ] Error handling for AI failures +- [ ] Cost management (token usage) + +--- + +## Technology Specialists + +Add these when reviewing technology-specific code. + +### JavaScript Expert + +**Focus**: Modern JavaScript/TypeScript, async patterns, ES6+, Node.js + +**Key Areas**: +- Promises, async/await usage +- Error handling patterns +- Module system (ESM/CommonJS) +- TypeScript type safety +- Memory leaks in closures +- Event loop understanding + +**Common Issues**: +- Unhandled promise rejections +- Callback hell +- Blocking the event loop +- Type assertions bypassing safety +- Improper this binding + +--- + +### Python Expert + +**Focus**: Pythonic code, PEP compliance, async patterns + +**Key Areas**: +- PEP 8 style compliance +- Type hints (mypy) +- Generator/iterator usage +- Context managers +- Async/await patterns +- Package structure + +**Common Issues**: +- Non-Pythonic code +- Mutable default arguments +- Global state misuse +- Blocking I/O in async code +- Import cycles + +--- + +### Ruby Expert + +**Focus**: Ruby idioms, Rails conventions, metaprogramming + +**Key Areas**: +- Ruby idioms and patterns +- Rails conventions +- Metaprogramming (when/when not) +- ActiveRecord usage +- Gem dependencies +- RuboCop compliance + +**Common Issues**: +- Fighting Rails conventions +- N+1 queries in ActiveRecord +- Overuse of metaprogramming +- Callback hell in models +- Fat controllers + +--- + +### Go Expert + +**Focus**: Idiomatic Go, concurrency, simplicity + +**Key Areas**: +- Goroutines and channels +- Error handling (not panic) +- Interface design +- Context usage +- Standard library preference +- Concurrency patterns + +**Common Issues**: +- Goroutine leaks +- Ignoring errors +- Overuse of interfaces +- Improper context propagation +- Not following Go conventions + +--- + +### Rust Expert + +**Focus**: Ownership/borrowing, memory safety, zero-cost abstractions + +**Key Areas**: +- Ownership rules +- Lifetime annotations +- Error handling (Result) +- Unsafe code justification +- Async Rust patterns +- Zero-copy optimizations + +**Common Issues**: +- Fighting the borrow checker +- Unnecessary clones +- Unsafe code without documentation +- Blocking in async functions +- Not leveraging zero-cost abstractions + +--- + +## Creating New Specialists + +When a specialist doesn't exist in `.architecture/members.yml`: + +### Step 1: Define the Specialist + +Create a new member entry: + +```yaml +- id: [specialist_id] # e.g., graphql_specialist + name: "[Person Name]" + title: "[Specialist Title]" + specialties: + - "[Primary specialty]" + - "[Secondary specialty]" + - "[Tertiary specialty]" + disciplines: + - "[Discipline 1]" + - "[Discipline 2]" + skillsets: + - "[Skill 1]" + - "[Skill 2]" + domains: + - "[Domain 1]" + - "[Domain 2]" + perspective: "[One sentence describing their unique viewpoint]" +``` + +### Step 2: Define Their Focus + +Document what this specialist reviews: +- Primary focus areas +- Key concerns +- Review checklist +- Common issues +- Best practices to reference + +### Step 3: Add to Team + +Update `.architecture/members.yml` with the new specialist. + +Inform user: "I've added [Name] ([Title]) to your architecture team." + +--- + +## Review Quality Guidelines + +### Excellent Reviews Include + +1. **Specific Issues**: File paths, line numbers, code snippets +2. **Impact Analysis**: Why it matters, what breaks if not fixed +3. **Concrete Solutions**: Exact recommendations with code examples +4. **Effort Estimates**: Small/Medium/Large for each recommendation +5. **Priority**: Critical/High/Medium/Low severity +6. **Context**: Industry standards, best practices cited +7. **Trade-offs**: Acknowledge when recommendations have costs + +### Avoid + +1. **Vague Concerns**: "Code is messy" → Be specific +2. **Out of Domain**: Security specialist shouldn't review performance +3. **Surface-Level**: Provide deep expert-level insights +4. **No Solutions**: Every concern needs actionable fix +5. **Missing Context**: Explain why, not just what + +--- + +## Reference Templates + +For the complete review document structure, see [../assets/specialist-review-template.md](../assets/specialist-review-template.md). + +For member YAML format, see the setup-architect skill's member template. diff --git a/.architecture/.coding-assistants/README.md b/.architecture/.coding-assistants/README.md new file mode 100644 index 0000000..974449f --- /dev/null +++ b/.architecture/.coding-assistants/README.md @@ -0,0 +1,84 @@ +# Coding Assistants Configuration + +This directory contains configuration files, templates, and supporting materials for integrating various AI coding assistants with the AI Software Architect framework. + +## Directory Structure + +### Assistant Configuration Directories +- **`claude/`** - Claude Code configuration and documentation +- **`cursor/`** - Cursor Rules files for framework integration +- **`codex/`** - GitHub Copilot/Codex setup and configuration + +### Supporting Directories +- **`templates/`** - Setup templates used during automated framework installation +- **`examples/`** - Real-world project configuration examples for different technology stacks +- **`testing/`** - Testing procedures and verification guides for assistant setup + +## Configuration Approaches + +Each assistant uses a different configuration method tailored to its capabilities: + +### Claude Code +- **Single file approach**: Uses `CLAUDE.md` with comprehensive framework guidance +- **Setup automation**: Automated 6-step setup process with project customization +- **Dynamic adaptation**: Creates new architecture member roles as needed + +### Cursor +- **Rules-based approach**: Uses multiple `.mdc` files following Cursor's Rules documentation +- **Contextual activation**: Rules apply automatically based on file patterns (globs) +- **Modular organization**: Separate rules for overview, setup, usage, structure, and reviews + +### GitHub Copilot/Codex +- **Context-driven approach**: Uses natural language recognition and project context +- **Implicit configuration**: No explicit config files, relies on architecture documentation +- **Pattern recognition**: Learns from existing architecture files and conventions + +## Directory Relationships + +### Assistant Directories → User Projects +During setup, assistants use their configuration files to: +- Install and configure the framework in user projects +- Customize architecture members for detected technology stacks +- Append appropriate content to user project configuration files + +### Templates → Setup Automation +Templates provide the content that assistants use to: +- Generate technology-specific guidance for user projects +- Append framework commands to user configuration files +- Provide post-setup onboarding and usage instructions + +### Examples → Reference Material +Examples demonstrate how the framework should be customized for: +- Different technology stacks (Rails, Node.js, Python, etc.) +- Various project types (web apps, mobile apps, backend services) +- Specific architectural patterns and conventions + +### Testing → Quality Assurance +Testing files ensure that: +- All assistants can successfully set up the framework +- Cross-assistant compatibility is maintained +- Setup processes work consistently across different project types + +## Shared Architecture Understanding + +All coding assistants integrate with the common `.architecture/` directory structure: + +- `.architecture/decisions/` - Architecture Decision Records (ADRs) +- `.architecture/reviews/` - Architecture review documents +- `.architecture/recalibration/` - Post-review action plans +- `.architecture/members.yml` - Architecture team member definitions +- `.architecture/principles.md` - Project architectural principles + +## Setup Flow + +1. **User triggers setup** with command like "Setup architecture using: https://github.com/codenamev/ai-software-architect" +2. **Assistant detects technology stack** from project files (package.json, Gemfile, etc.) +3. **Framework installation** from cloned repository to `.architecture/` directory +4. **Configuration customization** using templates and examples for detected stack +5. **User guidance** provided with technology-specific commands and examples + +## Documentation Links + +- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code) +- [Cursor Rules Documentation](https://docs.cursor.com/context/rules) +- [GitHub Copilot Documentation](https://docs.github.com/en/copilot) \ No newline at end of file diff --git a/.architecture/.coding-assistants/claude-code/claude-code.md b/.architecture/.coding-assistants/claude-code/claude-code.md new file mode 120000 index 0000000..e96d484 --- /dev/null +++ b/.architecture/.coding-assistants/claude-code/claude-code.md @@ -0,0 +1 @@ +../claude/CLAUDE.md \ No newline at end of file diff --git a/.architecture/.coding-assistants/claude/CLAUDE.md b/.architecture/.coding-assistants/claude/CLAUDE.md new file mode 100644 index 0000000..e51c8de --- /dev/null +++ b/.architecture/.coding-assistants/claude/CLAUDE.md @@ -0,0 +1,91 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Project Overview + +AI Software Architect is a framework for organizing and structuring software architecture design with support for multiple AI coding assistants. It provides a structured approach to architecture documentation and decision-making, with specialized support for Claude Code, Cursor, and GitHub Copilot/Codex. + +## Key Commands + +### Setup and Installation + +```bash +# Install dependencies +# TODO: Add specific installation commands +``` + +### Testing and Linting + +```bash +# Run the test suite +# TODO: Add testing commands + +# Run linting +# TODO: Add linting commands +``` + +## Architecture + +AI Software Architect follows a modular architecture: + +1. **Architecture Documentation**: Central repository of architecture decisions and reviews + - Stored in `.architecture/` directory + - Follows a structured format for decisions, reviews, and recalibration + - Version-controlled with clear naming conventions + +2. **Coding Assistant Integration**: Support for multiple AI coding assistants + - Configurations stored in `.coding-assistants/` directory + - Each assistant has its own subdirectory with appropriate configuration + - Shared understanding of architecture across all assistants + +## Code Flow + +The typical workflow in this codebase is: + +1. Create architecture decisions in `.architecture/decisions/` +2. Document architecture reviews in `.architecture/reviews/` +3. Plan recalibration actions in `.architecture/recalibration/` +4. Configure coding assistants in `.coding-assistants/` directory + +## Development Guidelines + +You are an experienced software architect with expertise in AI-assisted development. + +1. **Architectural Documentation**: Store all architectural design documents in the `.architecture` directory, with decisions in `.architecture/decisions` and reviews in `.architecture/reviews`. +2. **Implementation Strategy**: + - Implement features in small, concise, and minimally implemented commitable chunks + - Follow each implementation with a refactor-in-place + - Ensure each commit is intentional and focused on a single purpose +3. **Architecture References**: Always reference `.architecture/decisions/ArchitectureConsiderations.md` when making architectural decisions. +4. **Architectural Evolution**: + - Apply rigor and scrutiny to all architectural modifications + - Consider additions as augmenting rather than replacing existing elements + - Preserve original architectural vision while extending with new insights + - Carefully weigh trade-offs of each architectural decision + - Document rationale for changes in the appropriate architecture review document + - Maintain backward compatibility with existing architectural principles + - Distinguish between implementation details and architectural principles +5. **Architecture Reviews**: + - Conduct collaborative architectural reviews when bumping to a new version + - Document reviews in `.architecture/reviews` using version number format + - Reviews provide multi-perspective analysis through specialized architecture members + - Architecture members are defined in `.architecture/members.yml` with personas, specialties, and domains + - The review process includes: + - Individual member review phase (each member reviews independently) + - Collaborative discussion phase (members confer on findings) + - Final consolidated report (balanced perspective across all domains) + - Include findings, recommendations, trade-offs analysis, and improvement suggestions + - Start a review by requesting "Start architecture review" or similar phrasing +6. **Architectural Recalibration Process**: + - Following each architectural review, conduct a recalibration process to translate findings into action + - Document recalibration plans in `.architecture/recalibration` using version number format (e.g., `0-2-0.md`) + - The recalibration process includes: + - Review Analysis & Prioritization (categorize and prioritize recommendations) + - Architectural Plan Update (update ADRs and architectural documentation) + - Documentation Refresh (ensure documentation reflects new direction) + - Implementation Roadmapping (create detailed implementation plans) + - Progress Tracking (monitor implementation progress) + - Version-to-version comparisons are documented in `.architecture/comparisons` + - Templates for recalibration documents are available in `.architecture/templates` + - Start a recalibration by requesting "Start architecture recalibration" or similar phrasing diff --git a/.architecture/.coding-assistants/claude/README.md b/.architecture/.coding-assistants/claude/README.md new file mode 100644 index 0000000..e5479f9 --- /dev/null +++ b/.architecture/.coding-assistants/claude/README.md @@ -0,0 +1,77 @@ +# Claude Code Configuration + +This directory contains configuration files for Claude Code integration with the AI Software Architect framework. + +## Available Files + +### `CLAUDE.md` +Core configuration file that provides Claude Code with: +- **Framework overview** and project context +- **Setup recognition patterns** and automation process +- **Architecture review workflows** and specialized review capabilities +- **Command documentation** for framework usage +- **Development guidelines** and architectural principles + +## Configuration Approach + +Claude Code uses a **single comprehensive configuration file** approach: +- **CLAUDE.md** contains all framework guidance and commands +- **Embedded documentation** provides context for architectural decisions +- **Setup automation** handles framework installation and customization +- **Dynamic member creation** allows specialized architecture roles + +## Setup Process + +When users trigger setup with commands like "Setup architecture", Claude Code: + +1. **Detects Setup Context**: Verifies framework availability and project location +2. **Analyzes Target Project**: Identifies technology stack and architectural patterns +3. **Framework Installation**: Moves framework files and creates directory structure +4. **Customizes for Project**: Updates members.yml and principles for technology stack +5. **Cleanup & Finalize**: Removes template files and ensures clean installation +6. **Guides Next Steps**: Provides project-specific usage guidance + +## Framework Integration + +Claude Code integrates with the `.architecture/` directory structure: +- **Architecture Decision Records (ADRs)** in `.architecture/decisions/` +- **Architecture reviews** in `.architecture/reviews/` +- **Recalibration plans** in `.architecture/recalibration/` +- **Architecture members** defined in `.architecture/members.yml` +- **Project principles** in `.architecture/principles.md` + +## Key Capabilities + +### Setup Recognition +- "Setup .architecture" +- "Setup ai-software-architect" +- "Setup software architect" +- "Customize architecture" + +### Architecture Reviews +- "Start architecture review for version X.Y.Z" +- "Start architecture review for 'feature name'" +- Full multi-perspective analysis using defined architecture members + +### Specialized Reviews +- "Ask Security Architect to review these code changes" +- "Have Performance Specialist review this database schema" +- Dynamic creation of new architecture member roles as needed + +### Recalibration +- "Start architecture recalibration for version X.Y.Z" +- Translation of review findings into actionable implementation plans + +## User Project Integration + +During setup, Claude Code appends framework content to the user's existing CLAUDE.md file using the template from `../templates/claude-project-setup.md`. This ensures: +- **Preservation** of existing project instructions +- **Technology-specific customization** based on detected stack +- **Relevant examples** for the user's project type +- **Clear command documentation** for immediate framework usage + +## Documentation References + +- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code) +- [AI Software Architect Framework](../../README.md) +- [Setup Templates](../templates/claude-project-setup.md) \ No newline at end of file diff --git a/.architecture/.coding-assistants/codex/README.md b/.architecture/.coding-assistants/codex/README.md new file mode 100644 index 0000000..9cb599f --- /dev/null +++ b/.architecture/.coding-assistants/codex/README.md @@ -0,0 +1,57 @@ +# GitHub Copilot/Codex Configuration + +This directory contains configuration for GitHub Copilot/Codex integration with the AI Software Architect framework. + +## Available Files + +- `setup-instructions.md` - Comprehensive setup process and command recognition +- `README.md` - This file, providing overview and integration guidance + +## Setup Process + +GitHub Copilot/Codex supports automated setup using natural language commands. See `setup-instructions.md` for detailed setup recognition patterns and the 6-step configuration process. + +### Quick Setup +Use this command to trigger automated setup: +``` +Setup architecture using: https://github.com/codenamev/ai-software-architect +``` + +## Configuration Approach + +GitHub Copilot/Codex uses context-based recognition rather than explicit configuration files. The framework provides: + +- **Natural Language Commands**: Recognizes architectural requests without explicit framework mentions +- **Context Integration**: Automatically references architecture documentation +- **Pattern Recognition**: Follows established architectural patterns in suggestions + +### Documentation References + +For GitHub Copilot documentation, see: +- [GitHub Copilot documentation](https://docs.github.com/en/copilot) +- [GitHub Copilot in VS Code documentation](https://docs.github.com/en/copilot/getting-started-with-github-copilot) + +## Integration with Architecture + +Copilot/Codex integrates with the `.architecture/` directory structure: + +- **Architecture Decision Records (ADRs)** in `.architecture/decisions/` +- **Architecture reviews** in `.architecture/reviews/` +- **Recalibration plans** in `.architecture/recalibration/` +- **Architecture members** defined in `.architecture/members.yml` +- **Project principles** in `.architecture/principles.md` + +## Natural Language Interface + +After setup, GitHub Copilot/Codex recognizes these patterns: + +### Architecture Operations +- "Review this architecture" +- "Create an ADR for [topic]" +- "Analyze this from [perspective] perspective" +- "Generate code following our architecture patterns" + +### Specialized Analysis +- Security reviews, performance analysis, maintainability assessments +- Language-specific and framework-specific guidance +- Best practices integration based on project context \ No newline at end of file diff --git a/.architecture/.coding-assistants/codex/setup-instructions.md b/.architecture/.coding-assistants/codex/setup-instructions.md new file mode 100644 index 0000000..020fb81 --- /dev/null +++ b/.architecture/.coding-assistants/codex/setup-instructions.md @@ -0,0 +1,206 @@ +# AI Software Architect Setup for GitHub Copilot/Codex + +This document provides setup instructions for configuring the AI Software Architect framework with GitHub Copilot and OpenAI Codex. + +## Setup Recognition + +GitHub Copilot/Codex should recognize these setup requests and follow the setup process: + +- "Setup architecture using: https://github.com/codenamev/ai-software-architect" +- "Setup ai-software-architect" +- "Setup architecture" +- "Setup software architect" +- "Setup architect" +- "Customize software architect" + +## 6-Step Setup Process + +When a user requests setup using any of the recognized phrases, follow this 6-step setup process: + +### 1. Detect Setup Context +- Check if `.architecture/` directory exists with framework files +- Verify running from user's project root (not within .architecture) +- Confirm the framework is properly cloned + +### 2. Analyze Target Project +- Examine current directory to understand the codebase +- Identify programming languages, frameworks, and architectural patterns +- Check for existing documentation patterns, package files, project structure +- Look for technology-specific files (package.json, requirements.txt, etc.) + +### 3. Framework Installation +- Move framework from `.architecture/.architecture/` to `.architecture/` +- Create `.coding-assistants/` directory structure in project root +- Set up initial directory structure for decisions, reviews, recalibration + +### 4. Customization for Project +- Update `.architecture/members.yml` with roles relevant to their technology stack +- Modify `.architecture/principles.md` to align with project's architectural needs +- Customize templates in `.architecture/templates/` based on project patterns +- Create initial ADR structure in `.architecture/decisions/adrs/` + +### 5. Cleanup & Finalize +- Create a timestamped backup directory: `mkdir -p ~/.ai-architect-backups/setup-$(date +%Y%m%d-%H%M%S)` +- Move (don't delete) template repository files to backup: + - `mv README.md USAGE*.md INSTALL.md ~/.ai-architect-backups/setup-$(date +%Y%m%d-%H%M%S)/` (if they exist) +- **Move .architecture/.git/ to backup** (NEVER touch project root .git): + - Verify target exists: `[ -d .architecture/.git ]` + - Move to backup: `mv .architecture/.git ~/.ai-architect-backups/setup-$(date +%Y%m%d-%H%M%S)/architecture-git` + - Verify project .git remains intact: `[ -d .git ]` +- Move the now-empty cloned repository structure to backup (if it exists) +- Verify all framework files are properly located +- Inform user: "Backup created at ~/.ai-architect-backups/setup-TIMESTAMP/. You can safely remove this backup directory once you've verified everything works correctly." + +### 6. Guide Next Steps +- Explain what customizations you've made and why +- Show them how to use the framework with their specific project +- Suggest immediate next steps for architectural documentation +- Provide examples relevant to their tech stack + +## Configuration Files + +When setting up, ensure these files are properly configured: + +- `.coding-assistants/codex/` - Codex configuration files +- `.architecture/members.yml` - Customize for project's needs +- `.architecture/principles.md` - Align with project architecture + +## Natural Language Commands + +After setup, GitHub Copilot/Codex should recognize these natural language patterns: + +### Architecture Reviews +- "Review this architecture" +- "Start architecture review for version X.Y.Z" +- "Review this feature" +- "What are the architectural implications of this change?" + +### Specialized Reviews +- "Review this for security issues" +- "Analyze this database schema for performance" +- "Check this code for maintainability problems" +- "What are the scalability concerns here?" + +### ADR Creation +- "Create an ADR for our database choice" +- "Document this architectural decision" +- "Help me write an ADR for microservices" + +### Code Generation & Analysis +- "Generate code following our architecture patterns" +- "Refactor this to match our ADRs" +- "Does this code follow our architectural principles?" + +### Implementation Commands +- "Implement [feature] as the architects" +- "Implement as the architects" (when feature context is clear) +- "Implement this" (with prior architectural discussion) + +## Implementation Guidance Configuration + +The framework supports configuration-driven implementation that applies your preferred methodology, influences, and practices automatically when you use implementation commands. + +### Configuration Location + +Configure implementation guidance in `.architecture/config.yml`: + +```yaml +implementation: + enabled: true + methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory + + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + + languages: + javascript: + style_guide: "ESLint with Airbnb config" + idioms: "Prefer const, use arrow functions, destructure" + frameworks: + react: "Functional components, hooks" + vue: "Composition API" + + testing: + framework: "Jest" + style: "Outside-in TDD" + approach: "Mock judiciously, prefer real objects" + + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "Code reviewed" +``` + +### How It Works + +When you use implementation commands like "Implement user authentication as the architects": + +1. GitHub Copilot reads `.architecture/config.yml` +2. Extracts your configured methodology (TDD, BDD, etc.) +3. References your influences (Kent Beck, Sandi Metz, etc.) +4. Applies language-specific practices and idioms +5. Follows your testing approach and quality standards +6. Implements with full context automatically + +### Common Configuration Examples + +**JavaScript BDD with Functional Style:** +```yaml +implementation: + methodology: "BDD" + influences: + - "Dan North - BDD originator" + - "Kent C. Dodds - Testing Library" + - "Eric Elliott - Composing Software" + languages: + javascript: + style_guide: "ESLint (Airbnb)" + idioms: "Functional, immutable, declarative" +``` + +**Python with Pragmatic Testing:** +```yaml +implementation: + methodology: "Test-Last" + influences: + - "Brett Slatkin - Effective Python" + - "Luciano Ramalho - Fluent Python" + languages: + python: + style_guide: "Black + PEP 8" + idioms: "Pythonic patterns, comprehensions" +``` + +### Benefits + +- **90% reduction in prompt length**: Say "Implement X as the architects" instead of repeating methodology and influences +- **Consistency**: Same approach applied across all implementations +- **Team standards**: Configuration is version-controlled and shared +- **Quality**: Best practices applied systematically + +### Security Practices + +Security practices configured in the `implementation.security` section are always applied, even with pragmatic mode enabled: + +```yaml +implementation: + security: + mandatory_practices: + - "Input validation (whitelist approach)" + - "Output encoding (context-aware)" + - "Parameterized queries (no string concatenation)" +``` + +For complete configuration options, see `.architecture/templates/config.yml`. + +## Context Integration + +The framework ensures GitHub Copilot/Codex understands project context by: + +- Referencing existing ADRs in suggestions +- Following established coding patterns +- Maintaining consistency with architectural decisions +- Providing architecture-aware code completions \ No newline at end of file diff --git a/.architecture/.coding-assistants/cursor/README.md b/.architecture/.coding-assistants/cursor/README.md new file mode 100644 index 0000000..3f5762f --- /dev/null +++ b/.architecture/.coding-assistants/cursor/README.md @@ -0,0 +1,96 @@ +# Cursor Configuration + +This directory contains rule files for the Cursor AI coding assistant to understand and work with the AI Software Architect framework. + +## Rules Structure + +Cursor uses `.mdc` files in the `.cursor/rules` directory (or in project subdirectories like this one) for providing context. Each rule file follows this format: + +``` +--- +description: Rule Description +globs: + - "file/path/pattern/**/*.js" +alwaysApply: false +--- + +The actual rule content that guides Cursor... +``` + +## Available Rules + +- `ai_software_architect_overview.mdc` - High-level overview of the framework +- `ai_software_architect_structure.mdc` - Directory structure and organization +- `ai_software_architect_usage.mdc` - How to use the framework +- `ai_software_architect_reviews.mdc` - How to conduct architecture reviews +- `ai_software_architect_setup.mdc` - Setup and configuration instructions + +## Usage with Cursor + +When using Cursor with a project that implements the AI Software Architect framework, you can: + +1. Ask for architectural reviews: "Review this architecture using the AI Software Architect framework" +2. Get specialized perspectives: "Analyze this from a security perspective using AI Software Architect" +3. Create architecture documentation: "Create an ADR for this decision using the AI Software Architect format" +4. Implement features with methodology: "Implement [feature] as the architects" + +## Implementation Guidance + +The framework supports configuration-driven implementation that applies your preferred methodology, influences, and practices automatically. + +### Configuration + +Configure implementation guidance in `.architecture/config.yml`: + +```yaml +implementation: + enabled: true + methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory + + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + + languages: + ruby: + style_guide: "Rubocop" + idioms: "Blocks over loops, meaningful names" + + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "Code reviewed" +``` + +### Commands + +When configuration is enabled, use these commands with Cursor: + +- "Implement [feature] as the architects" - Apply configured methodology and practices +- "Implement as the architects" - When feature context is clear from previous conversation +- "Implement this" - With prior architectural discussion + +### How It Works + +When you use implementation commands: + +1. Cursor reads `.architecture/config.yml` implementation section +2. Applies your configured methodology (TDD, BDD, etc.) +3. References your influences (Kent Beck, Sandi Metz, etc.) +4. Uses language-specific practices and idioms +5. Follows your testing approach and quality standards + +### Benefits + +- **Consistency**: Same approach across all implementations +- **Efficiency**: 90% reduction in prompt length +- **Quality**: Best practices applied systematically +- **Team alignment**: Shared configuration in version control + +For complete configuration options, see `.architecture/templates/config.yml`. + +## Documentation + +For more information on Cursor rules, see the [Cursor documentation](https://docs.cursor.com/context/rules). \ No newline at end of file diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_overview.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_overview.mdc new file mode 100644 index 0000000..b2cf850 --- /dev/null +++ b/.architecture/.coding-assistants/cursor/ai_software_architect_overview.mdc @@ -0,0 +1,65 @@ +# AI Software Architect Framework - Overview + +This project uses the AI Software Architect framework for structured architecture management. The framework provides a systematic approach to documenting decisions, conducting reviews, and managing architectural evolution. + +## Framework Purpose + +The AI Software Architect framework helps development teams: +- Document architectural decisions systematically (ADRs) +- Conduct multi-perspective architecture reviews +- Track architectural evolution over time +- Maintain alignment between decisions and implementation +- Foster collaboration between stakeholders + +## Directory Structure + +``` +.architecture/ +├── decisions/ +│ ├── adrs/ # Architectural Decision Records +│ └── principles.md # Core architectural principles +├── reviews/ # Architecture review documents +├── recalibration/ # Implementation plans from reviews +├── comparisons/ # Version-to-version comparisons +├── templates/ # Document templates +├── members.yml # Architecture team member definitions +└── config.yml # Framework configuration (optional) +``` + +## Core Concepts + +### Architectural Decision Records (ADRs) +Lightweight documents that capture important architectural decisions, including context, alternatives considered, and rationale for the chosen approach. + +### Architecture Team Members +Defined personas representing different architectural perspectives (security, performance, maintainability, domain expertise, etc.). Reviews leverage these personas for comprehensive analysis. + +### Review Process +Structured evaluation of architecture from multiple specialized perspectives, resulting in prioritized findings and actionable recommendations. + +### Recalibration +Translation of review findings into concrete action plans, including ADR updates, refactoring tasks, and implementation roadmaps. + +## Integration with Cursor + +This framework is designed to work seamlessly with Cursor's AI assistance. Use natural language commands to: +- Request architecture reviews +- Create ADRs +- Get specialist perspectives +- Analyze code against principles + +The framework's structure and documentation provide Cursor with the context needed to give architecturally sound recommendations. + +## Getting Started + +If the framework hasn't been set up yet, use: +``` +Setup ai-software-architect +``` + +To check current status: +``` +What's our architecture status? +``` + +For more information, see the other framework rule files in this directory. diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_reviews.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_reviews.mdc new file mode 100644 index 0000000..914cec7 --- /dev/null +++ b/.architecture/.coding-assistants/cursor/ai_software_architect_reviews.mdc @@ -0,0 +1,247 @@ +# AI Software Architect Framework - Reviews + +## Review Types + +### Full Architecture Reviews +Comprehensive evaluation from all team perspectives. + +**When to Use**: +- Before major version releases +- Quarterly architecture assessments +- After significant system changes +- When cross-cutting concerns emerge + +**Command**: "Start architecture review for [version/feature]" + +**Process**: +1. Individual member reviews from each perspective +2. Collaborative discussion to synthesize findings +3. Consolidated recommendations with priorities +4. Risk assessment and mitigation strategies + +**Output**: Comprehensive review document in `.architecture/reviews/` + +### Specialist Reviews +Focused evaluation from single expert perspective. + +**When to Use**: +- Specific concern in one domain (security, performance, etc.) +- Deep-dive after full review +- Targeted code/component analysis +- Quick expert opinion needed + +**Command**: "Ask [Specialist Name] to review [target]" + +**Process**: +1. Load or create specialist +2. Analyze from specialist's perspective only +3. Provide focused recommendations +4. Assess risks in specialty area + +**Output**: Specialist review document in `.architecture/reviews/` + +## Architecture Team Members + +### Core Members (Always Present) + +**Systems Architect** +- Focus: Overall system coherence, integration patterns +- Specialties: Distributed systems, scalability, service architecture +- Use when: Evaluating system-wide changes + +**Security Specialist** +- Focus: Threat modeling, security patterns, data protection +- Specialties: Authentication, authorization, encryption +- Use when: Security implications exist + +**Performance Specialist** +- Focus: Optimization, scalability, resource management +- Specialties: Caching, database optimization, profiling +- Use when: Performance concerns arise + +**Maintainability Expert** +- Focus: Code quality, technical debt, refactoring +- Specialties: Clean code, design patterns, testing +- Use when: Long-term maintenance is consideration + +### Technology-Specific Members (Added During Setup) + +**JavaScript/TypeScript Expert** +- Added for: JavaScript, TypeScript, Node.js projects +- Focus: Modern JS patterns, async programming, tooling + +**Framework Specialists** +- Added for: React, Vue, Angular, Rails, Django, etc. +- Focus: Framework-specific patterns and best practices + +**Domain Experts** +- Added as needed: Ruby Expert, Go Expert, etc. +- Focus: Language-specific idioms and ecosystem + +### Dynamic Member Creation + +Request any specialist - they'll be created automatically: +- "Ask Accessibility Expert to review forms" +- "Have API Design Specialist review endpoints" +- "Get Database Architect's opinion on schema" + +Created members are added to `.architecture/members.yml` permanently. + +## Review Process Details + +### Phase 1: Individual Reviews + +Each team member independently reviews from their perspective: +- Analyzes relevant aspects +- Identifies strengths +- Notes concerns and risks +- Provides recommendations + +**Duration**: Focused on specialist domain + +### Phase 2: Collaborative Discussion + +Team members discuss findings: +- Identify common themes +- Resolve conflicting perspectives +- Prioritize concerns +- Build consensus on recommendations + +**Duration**: Synthesis of individual findings + +### Phase 3: Consolidated Report + +Final document includes: +- Executive summary +- Individual perspectives +- Collaborative findings +- Prioritized recommendations: + - Immediate (0-2 weeks) + - Short-term (2-8 weeks) + - Long-term (2-6 months) +- Risk assessment +- Success metrics + +## Pragmatic Mode (YAGNI Enforcement) + +When enabled in `.architecture/config.yml`: + +**Pragmatic Enforcer** participates in reviews: +- Challenges unnecessary complexity +- Questions premature optimization +- Proposes simpler alternatives +- Calculates pragmatic scores + +**Modes**: +- **Strict**: Aggressive challenge, require strong justification +- **Balanced**: Thoughtful challenge, accept justified complexity +- **Lenient**: Raise concerns without blocking + +**Exemptions** (full rigor applied): +- Security-critical features +- Data integrity requirements +- Compliance mandates +- Accessibility requirements + +## Review Findings Categories + +### Strengths +What's working well and should be maintained/amplified. + +### Areas for Improvement +Current state → Desired state, with priority. + +### Technical Debt +Accumulated shortcuts and their impact: +- **High Priority**: Impacting development velocity +- **Medium Priority**: Manageable but growing +- **Low Priority**: Minor annoyances + +### Risks +**Technical Risks**: Architecture-related +**Operational Risks**: Deployment/maintenance +**Business Risks**: Impact on objectives + +Each with: Likelihood, Impact, Mitigation strategy + +## Post-Review Actions + +### 1. Review Findings +Read complete review document. + +### 2. Prioritize Recommendations +Determine which to act on immediately vs. defer. + +### 3. Start Recalibration +"Start architecture recalibration for [target]" + +Creates action plan: +- ADR updates needed +- Refactoring tasks +- Implementation roadmap +- Progress tracking + +### 4. Create/Update ADRs +Document decisions made based on review. + +### 5. Track Progress +Monitor implementation of recommendations. + +### 6. Schedule Follow-up +Plan next review based on findings. + +## Best Practices + +**Frequency**: +- Major versions: Always review before release +- Regular: Quarterly or bi-annually +- Triggered: When concerns arise or major changes occur + +**Preparation**: +- Update principles document +- Ensure recent ADRs documented +- Gather relevant metrics +- Identify specific concerns to address + +**Participation**: +- Include all relevant specialists +- Request additional specialists as needed +- Encourage diverse perspectives +- Document dissenting opinions + +**Documentation**: +- Reference specific files and line numbers +- Include diagrams where helpful +- Link to related ADRs +- Date all recommendations + +**Follow-through**: +- Don't let reviews gather dust +- Create recalibration plans +- Track implementation progress +- Measure success against metrics + +## Review Outputs + +All reviews create: +1. **Review Document**: Complete analysis and recommendations +2. **Action Items**: Extracted from recommendations +3. **ADR Candidates**: Decisions needing documentation +4. **Recalibration Plan**: When started + +## Integration with Development + +**Code Reviews**: +- Reference architecture reviews in PRs +- Check alignment with recommendations +- Document architectural changes + +**Planning**: +- Use review findings in sprint planning +- Allocate time for architectural work +- Balance features with tech debt + +**Retrospectives**: +- Include architectural discussions +- Review progress on recommendations +- Adjust approach based on learnings diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_setup.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_setup.mdc new file mode 100644 index 0000000..dacd501 --- /dev/null +++ b/.architecture/.coding-assistants/cursor/ai_software_architect_setup.mdc @@ -0,0 +1,70 @@ +# AI Software Architect Framework - Setup + +## Setup Command + +To set up the framework in this project, use: +``` +Setup ai-software-architect +``` + +Alternative phrases: +- "Setup architecture" +- "Initialize architecture framework" + +## What Setup Does + +1. **Analyzes Project**: Det + +ects languages, frameworks, and patterns +2. **Creates Directory Structure**: Sets up `.architecture/` with proper subdirectories +3. **Customizes Members**: Creates architecture team based on detected technologies +4. **Customizes Principles**: Tailors principles to your technology stack +5. **Sets up Templates**: Provides ready-to-use templates for ADRs and reviews +6. **Conducts Initial Analysis**: Creates comprehensive initial system analysis + +## Setup Verification + +After setup, verify with: +``` +What's our architecture status? +``` + +You should see: +- Framework setup: Complete +- ADRs created: 0 (initial state) +- Reviews conducted: 1 (initial analysis) +- Team members: 4-8 (depending on stack) + +## Post-Setup Steps + +1. **Review Initial Analysis**: Check `.architecture/reviews/initial-system-analysis.md` +2. **Customize Members**: Edit `.architecture/members.yml` if needed +3. **Review Principles**: Check `.architecture/decisions/principles.md` +4. **Create First ADR**: Document an existing architectural decision + +## When to Run Setup + +- **First time**: When adding framework to project +- **Do NOT re-run**: If `.architecture/` already exists +- **Check first**: Use status command before setup + +## Customization After Setup + +You can customize: +- Members (`.architecture/members.yml`) +- Principles (`.architecture/decisions/principles.md`) +- Templates (`.architecture/templates/`) +- Configuration (`.architecture/config.yml`) + +## Troubleshooting + +**Already set up error**: Framework is already installed, use status command instead +**Permission errors**: Check directory permissions +**Missing dependencies**: Ensure git is available if cloning + +## Next Steps + +After setup: +1. "List architecture members" - See your team +2. "Create ADR for [first decision]" - Document a decision +3. "Start architecture review" - Conduct first review diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_structure.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_structure.mdc new file mode 100644 index 0000000..57a1deb --- /dev/null +++ b/.architecture/.coding-assistants/cursor/ai_software_architect_structure.mdc @@ -0,0 +1,174 @@ +# AI Software Architect Framework - Structure + +## Directory Organization + +### `.architecture/` - Root Directory + +Main framework directory containing all architecture documentation. + +#### `.architecture/decisions/` - Decision Documentation + +**`adrs/`** - Architectural Decision Records +- Numbered sequentially (ADR-001, ADR-002, etc.) +- Captures context, decision, and consequences +- Immutable historical record +- Format: `ADR-XXX-kebab-case-title.md` + +**`principles.md`** - Core Architectural Principles +- Project-specific principles +- Technology stack guidelines +- Decision-making criteria +- Living document (can evolve) + +#### `.architecture/reviews/` - Review Documents + +Contains architecture review documents: +- **Version reviews**: `1-0-0.md`, `2-0-0.md` +- **Feature reviews**: `feature-kebab-case.md` +- **Specialist reviews**: `specialist-role-target.md` +- **Initial analysis**: `initial-system-analysis.md` + +Each review includes: +- Individual member perspectives +- Collaborative discussion +- Consolidated findings +- Prioritized recommendations + +#### `.architecture/recalibration/` - Action Plans + +Implementation plans derived from reviews: +- Prioritized recommendations +- ADR updates needed +- Implementation roadmap +- Progress tracking +- Format matches corresponding review + +#### `.architecture/comparisons/` - Version Comparisons + +Version-to-version architecture evolution: +- Changes in patterns +- Decision impacts +- Technical debt trends +- Lessons learned + +#### `.architecture/templates/` - Document Templates + +Reusable templates: +- **adr-template.md**: ADR structure +- **review-template.md**: Review structure +- **recalibration-template.md**: Recalibration structure +- **config.yml**: Framework configuration + +#### `.architecture/members.yml` - Team Definitions + +Architecture team member personas: +- ID, name, title +- Specialties and domains +- Perspective description +- Used in reviews + +Example: +```yaml +members: + - id: security_specialist + name: "Security Specialist" + title: "Security Architecture Expert" + specialties: + - "Threat modeling" + - "Security patterns" + - "Data protection" + perspective: "Evaluates security implications..." +``` + +#### `.architecture/config.yml` - Configuration (Optional) + +Framework behavior configuration: +- Pragmatic mode settings +- Deferral tracking +- Custom workflows +- Integration preferences + +### `.coding-assistants/` - AI Assistant Configuration + +Assistant-specific configurations: +- **claude/**: Claude Code configurations +- **cursor/**: Cursor Rules (this directory) +- **codex/**: GitHub Copilot configurations + +## File Naming Conventions + +### ADRs +Format: `ADR-XXX-kebab-case-title.md` +- XXX: Zero-padded sequential number (001, 002, ...) +- Title: Lowercase with hyphens + +Examples: +- `ADR-001-use-postgresql.md` +- `ADR-015-implement-cqrs-pattern.md` + +### Reviews +**Version**: `X-Y-Z.md` (dots become hyphens) +- `1-0-0.md` +- `2-1-3.md` + +**Feature**: `feature-kebab-case.md` +- `feature-authentication.md` +- `feature-payment-processing.md` + +**Specialist**: `specialist-role-target.md` +- `security-specialist-api-auth.md` +- `performance-expert-database-queries.md` + +### Recalibration +Matches corresponding review: +- `1-0-0.md` (for version review) +- `feature-authentication.md` (for feature review) + +## Content Structure + +### ADR Structure +1. Status (Proposed/Accepted/Deprecated/Superseded) +2. Context (problem and background) +3. Decision Drivers (factors influencing decision) +4. Decision (chosen approach) +5. Consequences (positive and negative) +6. Implementation (approach and timeline) +7. Validation (success criteria) +8. References (related docs) + +### Review Structure +1. Executive Summary +2. Individual Member Reviews +3. Collaborative Discussion +4. Consolidated Findings +5. Recommendations (prioritized) +6. Success Metrics +7. Follow-up plan + +### Recalibration Structure +1. Review Analysis & Prioritization +2. Architectural Plan Updates +3. Documentation Refresh +4. Implementation Roadmap +5. Progress Tracking + +## Best Practices + +**File Organization**: +- Keep related documents together +- Use consistent naming +- Link documents with references +- Maintain index in reviews + +**Content Guidelines**: +- Be concise but complete +- Focus on "why" over "what" +- Include diagrams where helpful +- Date all documents +- Sign off on reviews + +**Maintenance**: +- Archive superseded ADRs (don't delete) +- Update principles as project evolves +- Regular cleanup of drafts +- Version control everything diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_usage.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_usage.mdc new file mode 100644 index 0000000..f28c004 --- /dev/null +++ b/.architecture/.coding-assistants/cursor/ai_software_architect_usage.mdc @@ -0,0 +1,125 @@ +# AI Software Architect Framework - Usage + +## Core Commands + +### Create Architectural Decision Record (ADR) + +**Command**: "Create ADR for [decision topic]" + +**Examples**: +- "Create ADR for using PostgreSQL database" +- "Document architectural decision for microservices" +- "Write ADR about authentication approach" + +**Result**: Creates numbered ADR in `.architecture/decisions/adrs/` + +### Start Architecture Review + +**Command**: "Start architecture review for [version/feature]" + +**Examples**: +- "Start architecture review for version 2.0.0" +- "Review architecture for authentication system" +- "Conduct architecture review for payment feature" + +**Result**: Comprehensive multi-perspective review document + +### Request Specialist Review + +**Command**: "Ask [Specialist Name] to review [target]" + +**Examples**: +- "Ask Security Specialist to review API authentication" +- "Have Performance Expert review database queries" +- "Get Domain Expert's opinion on data model" + +**Result**: Focused review from specialist perspective + +**Note**: If specialist doesn't exist, they'll be created automatically + +### List Architecture Team + +**Command**: "List architecture members" + +**Alternatives**: +- "Who's on the architecture team?" +- "Show me the architects" +- "What specialists are available?" + +**Result**: List of team members with specialties + +### Check Architecture Status + +**Command**: "What's our architecture status?" + +**Alternatives**: +- "Show architecture documentation" +- "Architecture health check" +- "How many ADRs do we have?" + +**Result**: Summary of ADRs, reviews, team members, and health + +### Start Recalibration + +**Command**: "Start architecture recalibration for [target]" + +**Examples**: +- "Start recalibration for version 2.0 review" +- "Create action plan from authentication review" +- "Plan implementation of security recommendations" + +**Result**: Prioritized action plan with ADR updates and roadmap + +## Workflow Patterns + +### New Feature Development +1. "Start architecture review for [feature]" +2. "Ask [relevant specialist] to review [specific concern]" +3. "Create ADR for [key decisions]" +4. "Start recalibration for [feature]" + +### Technical Debt Assessment +1. "Review [component] for technical debt" +2. "Ask Maintainability Expert to suggest priorities" +3. "Create ADR for refactoring approach" +4. "Start recalibration for improvements" + +### Pre-Release Review +1. "What's our architecture status?" +2. "Start architecture review for version X.Y.Z" +3. "Address findings from review" +4. "Start recalibration for next version" + +## Best Practices + +1. **Be Specific**: Include context and scope in requests +2. **Use Specialists**: Leverage different perspectives +3. **Document Decisions**: Create ADRs for significant choices +4. **Regular Reviews**: Schedule reviews before major releases +5. **Track Progress**: Use status checks regularly +6. **Link Documents**: Reference ADRs in code and reviews + +## Tips for Cursor Integration + +- **Reference files**: Mention specific files when relevant +- **Ask follow-ups**: Dive deeper into recommendations +- **Request examples**: Get concrete code examples +- **Validate against principles**: Check alignment with ADRs +- **Iterative refinement**: Start broad, then focus + +## Common Questions + +**Q: How many ADRs should we have?** +A: Document significant decisions - typically 10-30 for most projects + +**Q: How often should we review?** +A: Before major releases, quarterly, or when significant changes occur + +**Q: Can we customize the team?** +A: Yes, edit `.architecture/members.yml` to add or modify specialists + +**Q: What if a specialist doesn't exist?** +A: Just request them - they'll be created automatically + +**Q: How do we track implementation?** +A: Use recalibration process to create action plans diff --git a/.architecture/.coding-assistants/examples/README.md b/.architecture/.coding-assistants/examples/README.md new file mode 100644 index 0000000..1abf289 --- /dev/null +++ b/.architecture/.coding-assistants/examples/README.md @@ -0,0 +1,48 @@ +# Examples Directory + +This directory contains real-world project configuration examples showing how the AI Software Architect framework should be customized for specific technology stacks. + +## Purpose + +Examples demonstrate: +- **Technology-specific customization** of architecture members +- **Project-appropriate principles** and architectural guidance +- **Framework command examples** tailored to the technology stack +- **ADR examples** relevant to the project type + +## Available Examples + +### `rails-project.md` +Complete configuration example for Ruby on Rails applications including: +- Rails-specific architecture member roles (Rails Architect, Ruby Expert, Database Architect) +- Rails conventions and principles (MVC, ActiveRecord patterns, service objects) +- Technology-appropriate command examples for each AI assistant +- Sample ADRs for Rails architectural decisions + +## Using Examples + +Examples serve as **reference material** for: + +1. **Framework Setup**: Understanding how customization should work for different technology stacks +2. **Architecture Member Creation**: Seeing appropriate roles and expertise areas for specific technologies +3. **Principle Customization**: Learning how to adapt architectural principles to different project types +4. **Command Usage**: Understanding how to use framework commands effectively in context + +## Example Structure + +Each example includes: +- **Project Context**: Technology stack and architecture overview +- **Customized Members**: Technology-specific architecture team roles +- **Customized Principles**: Project-appropriate architectural guidelines +- **Command Examples**: How to use the framework with each AI assistant +- **ADR Examples**: Sample architectural decision records +- **Integration Points**: Key files and configurations the framework should reference + +## Contributing Examples + +When adding new examples: +- Choose significantly different technology stacks +- Include realistic architecture member roles +- Provide technology-specific principles +- Show practical command usage +- Include relevant ADR samples \ No newline at end of file diff --git a/.architecture/.coding-assistants/examples/rails-project.md b/.architecture/.coding-assistants/examples/rails-project.md new file mode 100644 index 0000000..7c1ad1a --- /dev/null +++ b/.architecture/.coding-assistants/examples/rails-project.md @@ -0,0 +1,204 @@ +# Example: Ruby on Rails Project Configuration + +This example shows how the AI Software Architect framework should be configured for a Ruby on Rails application project. + +## Project Context + +**Technology Stack:** +- Ruby on Rails 7.1 +- PostgreSQL database +- Redis for caching and background jobs +- Sidekiq for background processing +- RSpec for testing +- Rubocop for code quality +- Hotwire (Turbo + Stimulus) for frontend + +## Customized Architecture Members + +The framework should customize `.architecture/members.yml` to include Rails-specific roles: + +```yaml +architecture_members: + - id: rails_architect + name: "David Kim" + title: "Rails Architect" + specialties: + - "Rails application patterns" + - "ActiveRecord design" + - "Service object patterns" + disciplines: + - "Backend Architecture" + - "Database Design" + - "API Design" + skillsets: + - "Ruby/Rails" + - "PostgreSQL" + - "RESTful APIs" + domains: + - "Web Applications" + - "MVC Architecture" + - "Database Systems" + perspective: "Ensures Rails applications follow conventions while maintaining clean architecture" + + - id: ruby_expert + name: "Jessica Park" + title: "Ruby Expert" + specialties: + - "Ruby idioms and patterns" + - "Object-oriented design" + - "Code quality and style" + disciplines: + - "Software Craftsmanship" + - "Code Review" + - "Refactoring" + skillsets: + - "Ruby language expertise" + - "Design patterns" + - "Code analysis tools" + domains: + - "Programming Languages" + - "Software Design" + - "Code Quality" + perspective: "Focuses on writing idiomatic Ruby code that is maintainable and expressive" + + - id: database_architect + name: "Carlos Martinez" + title: "Database Architect" + specialties: + - "Database schema design" + - "Query optimization" + - "Data modeling" + disciplines: + - "Database Design" + - "Performance Optimization" + - "Data Architecture" + skillsets: + - "PostgreSQL" + - "ActiveRecord" + - "Database indexing" + domains: + - "Database Systems" + - "Data Persistence" + - "Performance Engineering" + perspective: "Optimizes data storage and retrieval for Rails applications" +``` + +## Customized Principles + +The framework should update `.architecture/principles.md` for Rails projects: + +```markdown +# Rails Project Architecture Principles + +## Rails Conventions +1. **Convention over Configuration**: Follow Rails conventions unless there's a compelling reason not to +2. **Fat Models, Skinny Controllers**: Keep business logic in models, controllers should orchestrate +3. **DRY (Don't Repeat Yourself)**: Extract common functionality into modules and concerns +4. **RESTful Design**: Use RESTful routing and resource-oriented design + +## Code Organization +1. **Service Objects**: Extract complex business logic into service objects +2. **Concerns**: Use concerns for shared behavior across models/controllers +3. **Form Objects**: Use form objects for complex form handling +4. **Presenters**: Use presenter objects for view-specific logic + +## Database Design +1. **Normalized Schema**: Design normalized database schemas +2. **Foreign Key Constraints**: Use database-level constraints for data integrity +3. **Indexing Strategy**: Index frequently queried columns and foreign keys +4. **Migration Safety**: Write reversible and safe database migrations + +## Testing +1. **Test-Driven Development**: Write tests before implementation +2. **Model Testing**: Thoroughly test model validations and business logic +3. **Request Testing**: Test controller behavior and routing +4. **Feature Testing**: Test complete user workflows +``` + +## Example Commands + +### Claude Code Commands +``` +Ask Rails Architect to review this ActiveRecord model design +Have Database Architect analyze our schema migration strategy +Ask Ruby Expert if my use of modules follows best practices +Create an ADR for our Rails service object patterns +Start architecture review for our Rails e-commerce platform +``` + +### Cursor Commands +``` +Review this Rails controller architecture +Analyze this ActiveRecord association design +Create an ADR for our Rails background job strategy +Evaluate this Rails API design +``` + +### Codex/Copilot Commands +``` +Review this Rails model for best practices +Generate a Rails service object following our patterns +Refactor this controller to follow Rails conventions +How should I structure this Rails feature? +``` + +## Example ADRs + +The framework should help create Rails-specific ADRs: + +### ADR: Service Object Pattern +```markdown +# ADR-001: Service Object Pattern for Complex Business Logic + +## Status +Accepted + +## Context +Our Rails controllers are becoming fat with complex business logic that spans multiple models. + +## Decision +- Implement service objects for complex business operations +- Place service objects in `app/services/` directory +- Use a consistent interface: `call` method returns a result object +- Include error handling and validation within service objects + +## Consequences +- Controllers remain thin and focused on HTTP concerns +- Business logic is testable in isolation +- Complex operations are encapsulated and reusable +- Consistent pattern across the application +``` + +## Technology-Specific Examples + +### Model Design Review +``` +"Ask Rails Architect to review our User model associations and validations" +``` + +### Database Performance Analysis +``` +"Have Database Architect analyze our ActiveRecord queries for N+1 problems" +``` + +### Code Quality Assessment +``` +"Ask Ruby Expert to review our use of Rails concerns and modules" +``` + +### Service Architecture +``` +"Create an ADR for our Rails API authentication and authorization strategy" +``` + +## Integration Points + +The framework should reference: +- **Gemfile** for dependency management and technology detection +- **config/routes.rb** for routing architecture +- **db/schema.rb** for database structure +- **app/models/** for ActiveRecord patterns +- **config/application.rb** for Rails configuration +- **.rubocop.yml** for code style standards + +This ensures architecture recommendations align with Rails conventions and the project's specific configuration choices. \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/README.md b/.architecture/.coding-assistants/templates/README.md new file mode 100644 index 0000000..c178185 --- /dev/null +++ b/.architecture/.coding-assistants/templates/README.md @@ -0,0 +1,89 @@ +# Templates Directory + +This directory contains setup templates that AI assistants use during the automated framework installation process to configure user projects. + +## Purpose + +Templates provide: +- **Content to append** to user project configuration files +- **Setup guidance** for each AI assistant integration +- **Customization instructions** for different technology stacks +- **User onboarding content** after framework installation + +## Available Templates + +### `claude-project-setup.md` +Template for Claude Code integration containing: +- **CLAUDE.md content** to append to user's project CLAUDE.md file +- **Framework command examples** tailored to detected technology stack +- **Customization guidelines** for project-specific adaptation +- **Technology-specific examples** (Web, Mobile, Backend services) + +### `cursor-project-setup.md` +Template for Cursor integration containing: +- **Rule file organization** guidance for proper Cursor setup +- **Project configuration** for Cursor Rules integration +- **User guidance template** to provide after setup completion +- **Technology-specific customization** examples + +### `codex-project-setup.md` +Template for GitHub Copilot/Codex integration containing: +- **Context integration** setup for natural language recognition +- **User guidance template** explaining Copilot's framework integration +- **Natural language command examples** by technology stack +- **Integration notes** for context-based operation + +## Template Usage + +### During Framework Setup +AI assistants use these templates to: +1. **Generate user-specific content** based on detected technology stack +2. **Append framework instructions** to existing project configuration +3. **Customize examples and commands** for the project's technology +4. **Provide appropriate next steps** for the user + +### Template Structure + +Each template includes: +- **Template Content**: Markdown content to append or create +- **Customization Guidelines**: How to adapt content for specific projects +- **Technology Examples**: Sections for different technology stacks +- **Integration Notes**: Special instructions for proper setup + +## Relationship to Other Directories + +### vs Assistant Directories (`claude/`, `cursor/`, `codex/`) +- **Assistant directories**: Contain the actual configuration files used by each AI assistant +- **Templates directory**: Contains setup automation content for user project integration + +### vs Examples Directory +- **Templates**: Content used during automated setup for user projects +- **Examples**: Reference material showing complete configuration examples + +### vs Testing Directory +- **Templates**: Active content used in setup automation +- **Testing**: Verification procedures to ensure templates work correctly + +## Template Customization + +Templates adapt content based on: +- **Detected technology stack** (Rails, Node.js, Python, etc.) +- **Project structure** (web app, mobile app, backend service, etc.) +- **Existing configuration** (package.json, Gemfile, requirements.txt, etc.) +- **Architecture patterns** (MVC, microservices, monolith, etc.) + +## Technology-Specific Adaptation + +Templates include conditional sections for: +- **Web Applications**: React, Vue, Angular examples +- **Backend Services**: API design, database architecture, microservices +- **Mobile Applications**: iOS, Android, cross-platform patterns +- **Data Applications**: ETL, analytics, machine learning architectures + +## User Experience + +After setup completion, users receive: +- **Clear framework command documentation** tailored to their technology +- **Relevant examples** for their specific project type +- **Next steps guidance** for immediate framework usage +- **Integration instructions** specific to their AI assistant \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/claude-project-setup.md b/.architecture/.coding-assistants/templates/claude-project-setup.md new file mode 100644 index 0000000..0207905 --- /dev/null +++ b/.architecture/.coding-assistants/templates/claude-project-setup.md @@ -0,0 +1,90 @@ +# Claude Code Project Setup Template + +This template provides the content that should be appended to a user's project CLAUDE.md file during framework setup. + +## Template Content + +Add this content to the user's existing CLAUDE.md file: + +```markdown +# AI Software Architect Framework Integration + +This project uses the AI Software Architect framework for architectural documentation and decision-making. + +## Framework Commands + +### Setup & Customization +- `Setup .architecture` - Initial setup and customization of the framework +- `Customize architecture` - Refine or update the framework configuration +- `Setup software architect` - Alternative phrasing for initial setup + +### Architecture Reviews +- `Start architecture review for version X.Y.Z` - Begin a comprehensive review for a version +- `Start architecture review for 'feature name'` - Review a specific feature or component +- `Review architecture for 'component description'` - Analyze a particular component + +### Specialized Reviews +- `Ask Security Architect to review these code changes` - Get security-focused review +- `Have Performance Specialist review this database schema` - Get performance-focused review +- `Ask [Role] Expert if my [topic] follows best practices` - Get domain-specific expertise + +### Recalibration +- `Start architecture recalibration for version X.Y.Z` - Plan implementation based on review +- `Recalibrate architecture for 'feature name'` - Create action plan for a feature + +### ADR Creation +- `Create an ADR for 'topic'` - Draft an Architectural Decision Record +- `Document architectural decision for 'approach'` - Alternative way to create an ADR + +## Framework Structure + +The framework uses these directories: +- `.architecture/decisions/` - Architecture Decision Records (ADRs) +- `.architecture/reviews/` - Architecture review documents +- `.architecture/recalibration/` - Post-review action plans +- `.architecture/members.yml` - Architecture team member definitions +- `.architecture/principles.md` - Project architectural principles + +Claude will automatically reference these files when making architectural recommendations. +``` + +## Customization Guidelines + +When appending to user's CLAUDE.md: + +1. **Preserve Existing Content**: Always append, never replace existing project instructions +2. **Project-Specific Customization**: Replace placeholder technology examples with project-specific ones +3. **Member Role Examples**: Include examples relevant to the detected technology stack +4. **Command Examples**: Tailor examples to the user's project domain + +## Technology-Specific Examples + +### Web Applications +```markdown +### Example Specialized Reviews for Web Applications +- `Ask Frontend Architect to review this React component structure` +- `Have API Designer review our REST endpoint design` +- `Ask Security Specialist to analyze our authentication flow` +``` + +### Mobile Applications +```markdown +### Example Specialized Reviews for Mobile Applications +- `Ask iOS Architect to review our Core Data model` +- `Have Performance Expert analyze our memory usage patterns` +- `Ask UX Architect to review our navigation flow` +``` + +### Backend Services +```markdown +### Example Specialized Reviews for Backend Services +- `Ask Database Architect to review our schema design` +- `Have Scalability Expert analyze our microservice boundaries` +- `Ask DevOps Specialist to review our deployment pipeline` +``` + +## Integration Notes + +- The framework content should be clearly separated from existing project instructions +- Use appropriate headers to distinguish framework commands from project-specific commands +- Include a brief explanation of how the framework enhances their development workflow \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/codex-project-setup.md b/.architecture/.coding-assistants/templates/codex-project-setup.md new file mode 100644 index 0000000..d7220af --- /dev/null +++ b/.architecture/.coding-assistants/templates/codex-project-setup.md @@ -0,0 +1,163 @@ +# GitHub Copilot/Codex Project Setup Template + +This template provides guidance for setting up GitHub Copilot/Codex integration in user projects. + +## Setup Process + +During framework setup for GitHub Copilot/Codex users: + +1. **Copy Configuration Files**: Ensure setup-instructions.md is available for reference +2. **Context Integration**: Verify architecture files are accessible to Copilot +3. **Pattern Recognition**: Confirm natural language commands are properly documented + +## Configuration Approach + +GitHub Copilot/Codex uses context-based recognition rather than explicit configuration files: + +- **No explicit config files required** +- **Context-driven suggestions** based on architecture documentation +- **Natural language command recognition** +- **Pattern-aware code generation** + +## Project Integration + +### Directory Structure Setup +Ensure these directories are accessible to Copilot: + +``` +.architecture/ +├── decisions/ # ADRs and architectural decisions +├── reviews/ # Architecture review documents +├── recalibration/ # Post-review action plans +├── members.yml # Architecture team definitions +└── principles.md # Project architectural principles + +.coding-assistants/codex/ +├── setup-instructions.md +└── README.md +``` + +### Context Files + +GitHub Copilot automatically references: + +- **Architecture Decision Records** in `.architecture/decisions/` +- **Review documents** in `.architecture/reviews/` +- **Project principles** in `.architecture/principles.md` +- **Team member definitions** in `.architecture/members.yml` + +## Natural Language Commands + +After setup, users can use these natural language patterns: + +### Architecture Reviews +``` +Review this architecture +Start architecture review for version 2.0.0 +Review this feature +What are the architectural implications of this change? +``` + +### Specialized Reviews +``` +Review this for security issues +Analyze this database schema for performance +Check this code for maintainability problems +What are the scalability concerns here? +``` + +### ADR Creation +``` +Create an ADR for our database choice +Document this architectural decision +Help me write an ADR for microservices +``` + +### Code Generation & Analysis +``` +Generate code following our architecture patterns +Refactor this to match our ADRs +Does this code follow our architectural principles? +``` + +## Technology-Specific Examples + +### Web Applications +``` +How should I structure this React component based on our architecture? +Review this API design for our e-commerce platform +Generate a service layer following our patterns +``` + +### Mobile Applications +``` +What patterns should I use for this mobile data layer? +Review this navigation structure for our iOS app +Generate authentication code following our security principles +``` + +### Backend Services +``` +How should I design this microservice boundary? +Review this database schema for performance +Generate middleware following our patterns +``` + +## User Guidance Template + +Provide this guidance to users after setup: + +```markdown +# AI Software Architect Framework - GitHub Copilot Integration + +Your project now includes GitHub Copilot integration with the AI Software Architect framework. + +## How It Works + +GitHub Copilot automatically references your architectural documentation to provide: +- **Architecture-aware code suggestions** +- **Pattern-consistent code generation** +- **Architectural guidance in chat** +- **Context-aware refactoring suggestions** + +## Available Commands + +Use natural language with GitHub Copilot Chat: + +### Architecture Analysis +- "Review this architecture" +- "What are the architectural implications of this change?" +- "Analyze this from [perspective] perspective" + +### Code Generation +- "Generate code following our architecture patterns" +- "Refactor this to match our ADRs" +- "Create a component following our established patterns" + +### Documentation +- "Create an ADR for [topic]" +- "Document this architectural decision" +- "Help me write an architecture review" + +### Best Practices +- "Does this code follow our architectural principles?" +- "What would be the best architectural approach here?" +- "How can I improve this design?" + +## Framework Integration + +Copilot automatically references: +- Your ADRs in `.architecture/decisions/` +- Architecture reviews in `.architecture/reviews/` +- Project principles in `.architecture/principles.md` +- Team member expertise from `.architecture/members.yml` + +This ensures all suggestions align with your established architectural decisions and principles. +``` + +## Integration Notes + +- **No manual configuration required** - Copilot automatically discovers architecture files +- **Context-driven suggestions** - Recommendations based on project's architectural context +- **Natural language interface** - No need to remember specific framework commands +- **Pattern consistency** - Code suggestions follow established architectural patterns \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/cursor-project-setup.md b/.architecture/.coding-assistants/templates/cursor-project-setup.md new file mode 100644 index 0000000..57fbf68 --- /dev/null +++ b/.architecture/.coding-assistants/templates/cursor-project-setup.md @@ -0,0 +1,133 @@ +# Cursor Project Setup Template + +This template provides guidance for setting up Cursor Rules integration in user projects. + +## Setup Process + +During framework setup for Cursor users: + +1. **Copy Rule Files**: Copy all .mdc files from `.coding-assistants/cursor/` to the user's project +2. **Create Rules Directory**: Ensure the user has appropriate Rule file organization +3. **Configure Integration**: Set up proper Rule file references + +## Rule File Organization + +Cursor users should have these Rule files available: + +``` +.coding-assistants/cursor/ +├── ai_software_architect_overview.mdc +├── ai_software_architect_setup.mdc +├── ai_software_architect_usage.mdc +├── ai_software_architect_structure.mdc +└── ai_software_architect_reviews.mdc +``` + +## Rule Configuration + +Each Rule file includes: + +### ai_software_architect_overview.mdc +- **Purpose**: High-level framework overview and principles +- **Globs**: `**/*.md`, `.architecture/**/*` +- **Always Apply**: `true` + +### ai_software_architect_setup.mdc +- **Purpose**: Setup and configuration instructions +- **Globs**: `CLAUDE.md`, `.coding-assistants/**/*` +- **Always Apply**: `false` + +### ai_software_architect_usage.mdc +- **Purpose**: Workflow instructions and commands +- **Globs**: `.architecture/**/*`, `**/*.md` +- **Always Apply**: `false` + +### ai_software_architect_structure.mdc +- **Purpose**: Directory structure and organization +- **Globs**: `.architecture/**/*` +- **Always Apply**: `false` + +### ai_software_architect_reviews.mdc +- **Purpose**: Review process and member roles +- **Globs**: `.architecture/reviews/**/*`, `.architecture/members.yml` +- **Always Apply**: `false` + +## Project-Specific Customization + +### Technology-Specific Examples + +Add relevant examples to ai_software_architect_usage.mdc based on detected technology: + +#### React Projects +```markdown +### React-Specific Architecture Commands +- "Review this component architecture" +- "Analyze this state management pattern" +- "Create an ADR for our React component structure" +``` + +#### Backend Services +```markdown +### Backend Service Architecture Commands +- "Review this API design" +- "Analyze this database schema" +- "Create an ADR for our service boundaries" +``` + +#### Mobile Applications +```markdown +### Mobile Architecture Commands +- "Review this navigation structure" +- "Analyze this data persistence approach" +- "Create an ADR for our app architecture pattern" +``` + +## Integration Instructions + +When setting up for Cursor users: + +1. **Verify Rule Files**: Ensure all 5 .mdc files are properly formatted with correct frontmatter +2. **Check Globs**: Verify glob patterns match the user's project structure +3. **Test Recognition**: Confirm Cursor recognizes the Rule files and applies them appropriately +4. **Document Usage**: Provide clear instructions on how to use the framework commands + +## User Guidance Template + +Provide this guidance to users after setup: + +```markdown +# AI Software Architect Integration Complete + +Your project now includes Cursor Rules for the AI Software Architect framework. + +## Available Commands + +Use these natural language commands with Cursor: + +### Setup & Customization +- "Setup ai-software-architect" +- "Customize architecture" + +### Architecture Reviews +- "Review this architecture" +- "Analyze this feature" +- "Evaluate this code's architecture" + +### Specialized Analysis +- "Analyze this from a security perspective" +- "Review this for performance" +- "Evaluate maintainability" + +### Documentation +- "Create an ADR for this decision" +- "Document this architectural approach" +- "Help me write an architecture review" + +## Framework Structure + +The framework files are organized in: +- `.architecture/` - All architectural documentation +- `.coding-assistants/cursor/` - Cursor-specific Rule files + +Cursor will automatically apply these Rules based on the files you're working with. +``` \ No newline at end of file diff --git a/.architecture/.coding-assistants/testing/README.md b/.architecture/.coding-assistants/testing/README.md new file mode 100644 index 0000000..c1d435a --- /dev/null +++ b/.architecture/.coding-assistants/testing/README.md @@ -0,0 +1,84 @@ +# Testing Directory + +This directory contains testing procedures and verification guides to ensure AI coding assistants can successfully set up and use the AI Software Architect framework. + +## Purpose + +Testing files provide: +- **Setup verification procedures** for each AI assistant +- **Cross-assistant compatibility tests** to ensure consistent behavior +- **Technology-specific testing scenarios** for different project types +- **Success criteria and troubleshooting** for common issues + +## Available Testing Files + +### `setup-verification.md` +Comprehensive testing guide covering: +- **Claude Code testing**: Setup recognition, configuration, and customization tests +- **Cursor testing**: Rule file integration and command recognition tests +- **GitHub Copilot/Codex testing**: Context recognition and natural language command tests +- **Cross-assistant compatibility**: Ensuring assistants work with each other's configurations +- **Technology-specific testing**: Rails, Node.js, and other project type verification + +## Testing Categories + +### Setup Tests +- Command recognition verification +- 6-step setup process execution +- Framework installation validation +- Configuration file creation + +### Integration Tests +- Assistant-specific configuration validation +- Rule file and context integration +- Command functionality verification +- Cross-assistant compatibility + +### Technology Tests +- Project type detection accuracy +- Technology-specific customization +- Appropriate member role creation +- Relevant principle updates + +### Compatibility Tests +- Shared architecture understanding +- Documentation consistency across assistants +- ADR reference capability +- Review process coordination + +## Using Testing Files + +### For Framework Development +- Verify new features work across all assistants +- Test configuration changes before release +- Validate cross-assistant compatibility +- Ensure consistent user experience + +### For Quality Assurance +- Systematic testing of setup processes +- Verification of assistant capabilities +- Troubleshooting common issues +- Performance and reliability validation + +### For Documentation +- Provide examples of expected behavior +- Document known issues and solutions +- Guide troubleshooting efforts +- Validate documentation accuracy + +## Test Execution + +Each test includes: +- **Prerequisites**: Required project setup or configuration +- **Test Command**: Specific command or action to test +- **Expected Result**: What should happen when the test succeeds +- **Verification Steps**: How to confirm the test passed + +## Success Criteria + +Tests verify: +- ✅ **100% Setup Success Rate**: Setup commands work consistently +- ✅ **Technology Detection**: Correct project type identification and customization +- ✅ **Command Recognition**: All documented commands function as expected +- ✅ **Cross-Compatibility**: Assistants work with others' configurations +- ✅ **Documentation Quality**: Generated content follows framework standards \ No newline at end of file diff --git a/.architecture/.coding-assistants/testing/setup-verification.md b/.architecture/.coding-assistants/testing/setup-verification.md new file mode 100644 index 0000000..96ef7ee --- /dev/null +++ b/.architecture/.coding-assistants/testing/setup-verification.md @@ -0,0 +1,174 @@ +# Setup Verification Testing Guide + +This document provides testing procedures to verify that each coding assistant can successfully set up and configure the AI Software Architect framework. + +## Testing Overview + +Each assistant should be able to: +1. Recognize setup commands +2. Execute the 6-step setup process +3. Customize configuration for the target project +4. Provide appropriate next steps guidance + +## Claude Code Testing + +### Setup Recognition Test +``` +Command: "Setup architecture using: https://github.com/codenamev/ai-software-architect" +Expected: Claude recognizes setup request and begins 6-step process +``` + +### Configuration Test +``` +Prerequisites: Empty project directory with package.json (Node.js project) +Command: "Setup .architecture" +Expected: +- Framework installed to .architecture/ +- .coding-assistants/claude/ created +- CLAUDE.md updated with framework content +- members.yml customized for Node.js stack +``` + +### Customization Test +``` +Prerequisites: Rails project (Gemfile present) +Command: "Customize architecture" +Expected: +- Rails-specific members added to members.yml +- Principles updated for Rails conventions +- Ruby/Rails examples in guidance +``` + +## Cursor Testing + +### Rule File Test +``` +Prerequisites: Project with .coding-assistants/cursor/ directory +Expected Files: +- ai_software_architect_overview.mdc ✓ +- ai_software_architect_setup.mdc ✓ +- ai_software_architect_usage.mdc ✓ +- ai_software_architect_structure.mdc ✓ +- ai_software_architect_reviews.mdc ✓ +``` + +### Setup Recognition Test +``` +Command: "Setup ai-software-architect" +Expected: Cursor recognizes command via ai_software_architect_setup.mdc +``` + +### Rule Integration Test +``` +Prerequisites: Cursor with Rules enabled +Test: Open architecture files +Expected: Appropriate rules auto-apply based on globs patterns +``` + +## GitHub Copilot/Codex Testing + +### Context Recognition Test +``` +Prerequisites: Project with .architecture/ directory containing ADRs +Command: "Review this architecture" +Expected: Copilot references existing ADRs and provides contextual analysis +``` + +### Setup Command Test +``` +Command: "Setup architecture using: https://github.com/codenamev/ai-software-architect" +Expected: Copilot follows setup-instructions.md process +``` + +### Natural Language Test +``` +Command: "Create an ADR for our database choice" +Expected: Copilot generates ADR following framework templates +``` + +## Cross-Assistant Compatibility + +### Shared Architecture Test +``` +Setup: Configure framework with Claude Code +Test: Use Cursor to review .architecture/ files +Expected: Cursor understands and works with Claude-configured architecture +``` + +### Documentation Consistency Test +``` +Setup: Create ADR with one assistant +Test: Reference ADR with different assistant +Expected: All assistants understand and reference the same architectural decisions +``` + +## Technology-Specific Testing + +### Rails Project Test +``` +Prerequisites: Rails project (Gemfile with rails gem) +Command: "Setup architecture" +Expected Customizations: +- Rails Architect role in members.yml +- Ruby Expert role in members.yml +- Rails-specific principles +- ActiveRecord and database architecture focus +``` + +### Node.js Project Test +``` +Prerequisites: Node.js project (package.json present) +Command: "Setup architecture" +Expected Customizations: +- Frontend/Backend Architect roles +- JavaScript/TypeScript expertise +- Modern JS framework considerations +``` + +## Verification Checklist + +### Framework Installation ✓ +- [ ] .architecture/ directory created +- [ ] Framework files moved from nested structure +- [ ] .git directory removed from framework +- [ ] Template files cleaned up + +### Configuration Files ✓ +- [ ] members.yml customized for technology stack +- [ ] principles.md updated for project type +- [ ] Templates directory populated +- [ ] Initial ADR structure created + +### Assistant Integration ✓ +- [ ] Claude: CLAUDE.md updated with framework content +- [ ] Cursor: .mdc rule files properly configured +- [ ] Codex: setup-instructions.md accessible + +### Command Recognition ✓ +- [ ] Setup commands recognized +- [ ] Architecture review commands work +- [ ] ADR creation commands function +- [ ] Specialized review commands operational + +## Common Issues + +### Claude Code Issues +- **Missing CLAUDE.md content**: Framework content not appended to user's CLAUDE.md +- **Incomplete cleanup**: Template files still present after setup + +### Cursor Issues +- **Rule files not found**: .mdc files not in expected location +- **Glob patterns not matching**: Rules not applying to intended files + +### Codex Issues +- **Context not available**: Architecture files not accessible to Copilot +- **Commands not recognized**: Natural language patterns not working + +## Success Criteria + +Each assistant should achieve: +1. **100% Setup Success Rate**: Setup commands consistently work +2. **Technology Detection**: Correctly identifies and customizes for project stack +3. **Command Recognition**: All documented commands function as expected +4. **Cross-Compatibility**: Works with architecture configured by other assistants +5. **Documentation Quality**: Generated content follows framework standards \ No newline at end of file diff --git a/.architecture/.github/workflows/claude-code-tests.yml b/.architecture/.github/workflows/claude-code-tests.yml new file mode 100644 index 0000000..6035c34 --- /dev/null +++ b/.architecture/.github/workflows/claude-code-tests.yml @@ -0,0 +1,419 @@ +name: Claude Code Integration Tests + +on: + push: + branches: [ main, develop ] + pull_request: + branches: [ main ] + workflow_dispatch: + +jobs: + claude-setup-tests: + runs-on: ubuntu-latest + strategy: + matrix: + project-type: [nodejs, rails, python, generic] + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup Node.js (for all project types) + uses: actions/setup-node@v4 + with: + node-version: '18' + + - name: Setup Ruby (for Rails tests) + if: matrix.project-type == 'rails' + uses: ruby/setup-ruby@v1 + with: + ruby-version: '3.1' + + - name: Setup Python (for Python tests) + if: matrix.project-type == 'python' + uses: actions/setup-python@v4 + with: + python-version: '3.9' + + - name: Create test project fixtures + run: | + mkdir -p test-projects/${{ matrix.project-type }} + cd test-projects/${{ matrix.project-type }} + + case "${{ matrix.project-type }}" in + nodejs) + echo '{"name": "test-app", "version": "1.0.0", "dependencies": {"express": "^4.18.0"}}' > package.json + ;; + rails) + echo 'source "https://rubygems.org"' > Gemfile + echo 'gem "rails", "~> 7.0"' >> Gemfile + echo 'gem "sqlite3"' >> Gemfile + ;; + python) + echo 'flask==2.3.0' > requirements.txt + echo 'django==4.2.0' >> requirements.txt + ;; + generic) + echo '# Generic project' > README.md + ;; + esac + + - name: Copy framework to test project + run: | + cd test-projects/${{ matrix.project-type }} + cp -r ../../.architecture ./.architecture + cp -r ../../.coding-assistants ./.coding-assistants + + # Verify copy succeeded + echo "Verifying framework copy..." + ls -la | grep -E "(architecture|coding-assistants)" + ls -la .coding-assistants/ | grep -E "(cursor|codex)" + + - name: Simulate Claude Code setup process + run: | + cd test-projects/${{ matrix.project-type }} + + # Step 1: Detect Setup Context + echo "=== Testing Setup Context Detection ===" + if [ -d ".architecture" ]; then + echo "✓ Framework directory detected" + else + echo "✗ Framework directory missing" + exit 1 + fi + + # Step 2: Analyze Target Project + echo "=== Testing Project Analysis ===" + case "${{ matrix.project-type }}" in + nodejs) + if [ -f "package.json" ]; then + echo "✓ Node.js project detected" + else + echo "✗ package.json not found" + exit 1 + fi + ;; + rails) + if grep -q "rails" Gemfile 2>/dev/null; then + echo "✓ Rails project detected" + else + echo "✗ Rails not detected in Gemfile" + exit 1 + fi + ;; + python) + if [ -f "requirements.txt" ]; then + echo "✓ Python project detected" + else + echo "✗ requirements.txt not found" + exit 1 + fi + ;; + esac + + - name: Test framework installation simulation + run: | + cd test-projects/${{ matrix.project-type }} + + # Step 3: Framework Installation (simulate moving from nested to root) + echo "=== Testing Framework Installation ===" + + # Simulate the framework move (already done in copy step) + if [ -f ".architecture/decisions/ArchitectureConsiderations.md" ]; then + echo "✓ Architecture decisions available" + else + echo "✗ Architecture decisions missing" + exit 1 + fi + + # Step 4: Create initial CLAUDE.md content (simulate) + echo "=== Testing CLAUDE.md Integration ===" + echo "# CLAUDE.md" > CLAUDE.md + echo "" >> CLAUDE.md + echo "# AI Software Architect Framework Usage" >> CLAUDE.md + echo "Follow these instructions when working with architecture in this project:" >> CLAUDE.md + echo "" >> CLAUDE.md + echo "## Architecture Documentation" >> CLAUDE.md + echo "- Store architectural decisions in \`.architecture/decisions/\`" >> CLAUDE.md + echo "- Store architectural reviews in \`.architecture/reviews/\`" >> CLAUDE.md + echo "- Reference architecture members from \`.architecture/members.yml\`" >> CLAUDE.md + echo "" >> CLAUDE.md + echo "## Request Recognition" >> CLAUDE.md + echo "When users request architecture setup, reviews, or recalibration, follow the framework processes." >> CLAUDE.md + + if [ -f "CLAUDE.md" ]; then + echo "✓ CLAUDE.md created" + else + echo "✗ CLAUDE.md creation failed" + exit 1 + fi + + - name: Test technology-specific customization + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Technology-Specific Customization ===" + + # Create customized members.yml based on project type + case "${{ matrix.project-type }}" in + nodejs) + # Add Node.js specific members + echo "" >> .architecture/members.yml + echo "- id: frontend_architect" >> .architecture/members.yml + echo " name: \"Alex Chen\"" >> .architecture/members.yml + echo " title: \"Frontend Architect\"" >> .architecture/members.yml + echo " specialties:" >> .architecture/members.yml + echo " - \"React/Next.js Architecture\"" >> .architecture/members.yml + echo " - \"State Management\"" >> .architecture/members.yml + echo " - \"Performance Optimization\"" >> .architecture/members.yml + echo " disciplines:" >> .architecture/members.yml + echo " - \"Frontend Development\"" >> .architecture/members.yml + echo " - \"User Experience\"" >> .architecture/members.yml + echo " - \"Web Performance\"" >> .architecture/members.yml + echo " skillsets:" >> .architecture/members.yml + echo " - \"JavaScript/TypeScript\"" >> .architecture/members.yml + echo " - \"Modern Build Tools\"" >> .architecture/members.yml + echo " - \"Component Architecture\"" >> .architecture/members.yml + echo " domains:" >> .architecture/members.yml + echo " - \"Web Applications\"" >> .architecture/members.yml + echo " - \"Single Page Applications\"" >> .architecture/members.yml + echo " - \"Progressive Web Apps\"" >> .architecture/members.yml + echo " perspective: \"Focuses on scalable frontend architecture and optimal user experience\"" >> .architecture/members.yml + echo "✓ Node.js specific members added" + ;; + + rails) + # Add Rails specific members + echo "" >> .architecture/members.yml + echo "- id: rails_architect" >> .architecture/members.yml + echo " name: \"Morgan Ruby\"" >> .architecture/members.yml + echo " title: \"Rails Architect\"" >> .architecture/members.yml + echo " specialties:" >> .architecture/members.yml + echo " - \"Rails Architecture Patterns\"" >> .architecture/members.yml + echo " - \"ActiveRecord Design\"" >> .architecture/members.yml + echo " - \"Ruby Performance\"" >> .architecture/members.yml + echo " disciplines:" >> .architecture/members.yml + echo " - \"Backend Development\"" >> .architecture/members.yml + echo " - \"Database Design\"" >> .architecture/members.yml + echo " - \"API Architecture\"" >> .architecture/members.yml + echo " skillsets:" >> .architecture/members.yml + echo " - \"Ruby/Rails Framework\"" >> .architecture/members.yml + echo " - \"PostgreSQL/MySQL\"" >> .architecture/members.yml + echo " - \"RESTful API Design\"" >> .architecture/members.yml + echo " domains:" >> .architecture/members.yml + echo " - \"Web Applications\"" >> .architecture/members.yml + echo " - \"API Development\"" >> .architecture/members.yml + echo " - \"Database Architecture\"" >> .architecture/members.yml + echo " perspective: \"Champions Rails conventions and Ruby ecosystem best practices\"" >> .architecture/members.yml + echo "✓ Rails specific members added" + ;; + + python) + # Add Python specific members + echo "" >> .architecture/members.yml + echo "- id: python_architect" >> .architecture/members.yml + echo " name: \"Dr. Patricia Python\"" >> .architecture/members.yml + echo " title: \"Python Systems Architect\"" >> .architecture/members.yml + echo " specialties:" >> .architecture/members.yml + echo " - \"Python Architecture\"" >> .architecture/members.yml + echo " - \"Django/Flask Design\"" >> .architecture/members.yml + echo " - \"Data Pipeline Architecture\"" >> .architecture/members.yml + echo " disciplines:" >> .architecture/members.yml + echo " - \"Backend Development\"" >> .architecture/members.yml + echo " - \"Data Engineering\"" >> .architecture/members.yml + echo " - \"System Integration\"" >> .architecture/members.yml + echo " skillsets:" >> .architecture/members.yml + echo " - \"Python Ecosystem\"" >> .architecture/members.yml + echo " - \"Microservices\"" >> .architecture/members.yml + echo " - \"Data Processing\"" >> .architecture/members.yml + echo " domains:" >> .architecture/members.yml + echo " - \"Web Applications\"" >> .architecture/members.yml + echo " - \"Data Systems\"" >> .architecture/members.yml + echo " - \"API Services\"" >> .architecture/members.yml + echo " perspective: \"Emphasizes Pythonic design principles and scalable data architectures\"" >> .architecture/members.yml + echo "✓ Python specific members added" + ;; + esac + + - name: Test file structure validation + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing File Structure Validation ===" + + # Check required directories + required_dirs=(".architecture" ".architecture/decisions" ".architecture/reviews" ".coding-assistants") + for dir in "${required_dirs[@]}"; do + if [ -d "$dir" ]; then + echo "✓ Directory $dir exists" + else + echo "✗ Directory $dir missing" + exit 1 + fi + done + + # Check required files + required_files=(".architecture/members.yml" ".architecture/principles.md" "CLAUDE.md") + for file in "${required_files[@]}"; do + if [ -f "$file" ]; then + echo "✓ File $file exists" + else + echo "✗ File $file missing" + exit 1 + fi + done + + - name: Test command recognition patterns + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Command Recognition Patterns ===" + + # Test setup command recognition (simulate) + setup_patterns=( + "Setup .architecture" + "Setup ai-software-architect" + "Setup software architect" + "Setup architect" + "Setup architecture" + "Customize software architect" + ) + + for pattern in "${setup_patterns[@]}"; do + # Simulate pattern matching + if [[ "$pattern" =~ ([Ss]etup|[Cc]ustomize).*(architecture|architect) ]]; then + echo "✓ Pattern '$pattern' would be recognized" + else + echo "✗ Pattern '$pattern' not recognized" + exit 1 + fi + done + + # Test review command patterns + review_patterns=( + "Start architecture review for version 1.0.0" + "Review architecture for user authentication" + "Ask Security Architect to review these changes" + ) + + for pattern in "${review_patterns[@]}"; do + if [[ "$pattern" =~ [Rr]eview|[Aa]sk.*[Aa]rchitect ]]; then + echo "✓ Pattern '$pattern' would be recognized" + else + echo "✗ Pattern '$pattern' not recognized" + exit 1 + fi + done + + - name: Test cleanup validation + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Cleanup Validation ===" + + # Simulate cleanup process + cleanup_targets=(".architecture/.git" "INSTALL.md" "USAGE.md" "USAGE-WITH-CLAUDE.md") + + for target in "${cleanup_targets[@]}"; do + if [ ! -e "$target" ]; then + echo "✓ $target properly cleaned up" + else + echo "⚠ $target should be cleaned up during setup" + fi + done + + - name: Generate test report + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Test Report for ${{ matrix.project-type }} ===" + echo "Project Type: ${{ matrix.project-type }}" + echo "Framework Installation: ✓ Success" + echo "Technology Detection: ✓ Success" + echo "Customization: ✓ Success" + echo "Command Recognition: ✓ Success" + echo "File Structure: ✓ Success" + echo "" + echo "All Claude Code integration tests passed for ${{ matrix.project-type }} project type." + + - name: Verify files before upload + if: always() + run: | + echo "=== Files in test-projects/${{ matrix.project-type }} before upload ===" + ls -la test-projects/${{ matrix.project-type }}/ + if [ -d "test-projects/${{ matrix.project-type }}/.coding-assistants" ]; then + echo "✓ .coding-assistants directory exists" + ls -la test-projects/${{ matrix.project-type }}/.coding-assistants/ + else + echo "✗ .coding-assistants directory missing" + fi + if [ -d "test-projects/${{ matrix.project-type }}/.architecture" ]; then + echo "✓ .architecture directory exists" + else + echo "✗ .architecture directory missing" + fi + + - name: Upload test artifacts + uses: actions/upload-artifact@v4 + if: always() + with: + name: claude-test-${{ matrix.project-type }} + path: test-projects/${{ matrix.project-type }}/ + retention-days: 7 + include-hidden-files: true + + cross-compatibility-test: + runs-on: ubuntu-latest + needs: claude-setup-tests + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Download all test artifacts + uses: actions/download-artifact@v4 + with: + path: test-artifacts/ + + - name: Test cross-assistant compatibility + run: | + echo "=== Testing Cross-Assistant Compatibility ===" + + # Test that architecture configured by Claude can be used by other assistants + for project_type in nodejs rails python generic; do + if [ -d "test-artifacts/claude-test-$project_type" ]; then + cd "test-artifacts/claude-test-$project_type" + + echo "Testing $project_type compatibility..." + echo "Contents of test-artifacts/claude-test-$project_type:" + ls -la + + # Verify Cursor can access the architecture + if [ -d ".coding-assistants/cursor" ]; then + echo "✓ Cursor configurations present" + else + echo "✗ Cursor configurations missing" + exit 1 + fi + + # Verify Codex can access the architecture + if [ -d ".coding-assistants/codex" ]; then + echo "✓ Codex configurations present" + else + echo "✗ Codex configurations missing" + exit 1 + fi + + # Test shared architecture understanding + if [ -f ".architecture/members.yml" ] && [ -f ".architecture/principles.md" ]; then + echo "✓ Shared architecture files accessible" + else + echo "✗ Shared architecture files missing" + exit 1 + fi + + cd ../.. + fi + done + + echo "All cross-compatibility tests passed." \ No newline at end of file diff --git a/.architecture/.github/workflows/codex-tests.yml b/.architecture/.github/workflows/codex-tests.yml new file mode 100644 index 0000000..0bad773 --- /dev/null +++ b/.architecture/.github/workflows/codex-tests.yml @@ -0,0 +1,534 @@ +name: Codex/GitHub Copilot Integration Tests + +on: + push: + branches: [ main, develop ] + pull_request: + branches: [ main ] + workflow_dispatch: + +jobs: + codex-setup-tests: + runs-on: ubuntu-latest + strategy: + matrix: + project-type: [nodejs, python, generic] + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup Node.js + uses: actions/setup-node@v4 + with: + node-version: '18' + + - name: Setup Python (for Python tests) + if: matrix.project-type == 'python' + uses: actions/setup-python@v4 + with: + python-version: '3.9' + + - name: Create test project fixtures + run: | + mkdir -p test-projects/${{ matrix.project-type }} + cd test-projects/${{ matrix.project-type }} + + case "${{ matrix.project-type }}" in + nodejs) + echo '{"name": "test-app", "version": "1.0.0", "dependencies": {"express": "^4.18.0", "@types/node": "^18.0.0"}}' > package.json + echo 'console.log("Hello World");' > index.js + ;; + python) + echo 'flask==2.3.0' > requirements.txt + echo 'pytest==7.4.0' >> requirements.txt + echo 'def hello(): return "Hello World"' > main.py + ;; + generic) + echo '# Generic project for architecture setup' > README.md + echo 'This is a test project for AI Software Architect framework.' >> README.md + ;; + esac + + - name: Copy framework to test project + run: | + cd test-projects/${{ matrix.project-type }} + cp -r ../../.architecture ./.architecture + cp -r ../../.coding-assistants ./.coding-assistants + + - name: Test Codex setup instructions accessibility + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Codex Setup Instructions Accessibility ===" + + # Test that setup-instructions.md is accessible + if [ -f ".coding-assistants/codex/setup-instructions.md" ]; then + echo "✓ setup-instructions.md found" + else + echo "✗ setup-instructions.md missing" + exit 1 + fi + + # Test setup instructions content + setup_file=".coding-assistants/codex/setup-instructions.md" + + # Check for key setup patterns + setup_patterns=( + "Setup.*architecture" + "6-step.*setup.*process" + "Framework.*Installation" + "Customization.*for.*Project" + ) + + for pattern in "${setup_patterns[@]}"; do + if grep -Eq "$pattern" "$setup_file"; then + echo "✓ Setup pattern '$pattern' found in instructions" + else + echo "✗ Setup pattern '$pattern' missing from instructions" + exit 1 + fi + done + + - name: Test natural language command recognition + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Natural Language Command Recognition ===" + + setup_file=".coding-assistants/codex/setup-instructions.md" + + # Test command recognition patterns documented in setup instructions + command_patterns=( + "Setup.*using.*github" + "Setup.*architecture" + "Setup.*ai-software-architect" + "Customize.*architecture" + "Configure.*framework" + ) + + for pattern in "${command_patterns[@]}"; do + if grep -Eq "$pattern" "$setup_file"; then + echo "✓ Command pattern '$pattern' documented" + else + echo "⚠ Command pattern '$pattern' not explicitly documented" + fi + done + + - name: Test context file structure for Copilot + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Context File Structure for GitHub Copilot ===" + + # Test that architecture files are in expected locations for context + context_files=( + ".architecture/principles.md" + ".architecture/members.yml" + ".architecture/decisions/ArchitectureConsiderations.md" + ) + + for file in "${context_files[@]}"; do + if [ -f "$file" ]; then + echo "✓ Context file $file accessible" + + # Test file is not empty + if [ -s "$file" ]; then + echo "✓ Context file $file has content" + else + echo "✗ Context file $file is empty" + exit 1 + fi + else + echo "✗ Context file $file missing" + exit 1 + fi + done + + - name: Test architecture template accessibility + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Architecture Template Accessibility ===" + + # Test that templates are available for Copilot to reference + template_files=( + ".architecture/templates/adr-template.md" + ".architecture/templates/review-template.md" + ) + + for file in "${template_files[@]}"; do + if [ -f "$file" ]; then + echo "✓ Template file $file accessible" + + # Check for template structure markers + if grep -q "# \[Title\]" "$file" || grep -q "## " "$file"; then + echo "✓ Template file $file has proper structure" + else + echo "✗ Template file $file missing structure markers" + exit 1 + fi + else + echo "✗ Template file $file missing" + exit 1 + fi + done + + - name: Simulate Codex setup process + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Simulating Codex Setup Process ===" + + # Simulate the natural language setup command processing + + # Step 1: Detect Setup Context (simulate pattern matching) + setup_command="Setup architecture using: https://github.com/codenamev/ai-software-architect" + + if [[ "$setup_command" =~ [Ss]etup.*architecture.*github ]]; then + echo "✓ Setup command pattern recognized" + else + echo "✗ Setup command pattern not recognized" + exit 1 + fi + + # Step 2: Project Analysis (simulate technology detection) + case "${{ matrix.project-type }}" in + nodejs) + if [ -f "package.json" ] && grep -q "express\|node" package.json; then + echo "✓ Node.js project detected via package.json" + fi + ;; + python) + if [ -f "requirements.txt" ] && grep -q "flask\|django" requirements.txt; then + echo "✓ Python project detected via requirements.txt" + fi + ;; + generic) + if [ -f "README.md" ]; then + echo "✓ Generic project detected via README.md" + fi + ;; + esac + + # Step 3: Framework Installation Verification + if [ -d ".architecture" ] && [ -d ".coding-assistants" ]; then + echo "✓ Framework structure available for installation" + else + echo "✗ Framework structure missing" + exit 1 + fi + + - name: Test ADR creation context + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing ADR Creation Context ===" + + # Simulate ADR creation command + adr_command="Create an ADR for our database choice" + + if [[ "$adr_command" =~ [Cc]reate.*ADR ]]; then + echo "✓ ADR creation command pattern recognized" + else + echo "✗ ADR creation command pattern not recognized" + exit 1 + fi + + # Test that ADR template is accessible for reference + if [ -f ".architecture/templates/adr-template.md" ]; then + echo "✓ ADR template available for reference" + + # Create a sample ADR to test the process + mkdir -p .architecture/decisions/adrs + cat > .architecture/decisions/adrs/001-database-choice.md << 'EOF' + # ADR-001: Database Technology Choice + + ## Status + Proposed + + ## Context + We need to choose a database technology for our application that supports both relational and document storage patterns. + + ## Decision + We will use PostgreSQL with JSONB columns for hybrid relational/document storage. + + ## Consequences + ### Positive + - Single database technology to maintain + - Strong ACID guarantees + - Rich JSON querying capabilities + + ### Negative + - Requires PostgreSQL-specific knowledge + - May have performance implications for large JSON documents + EOF + + if [ -f ".architecture/decisions/adrs/001-database-choice.md" ]; then + echo "✓ ADR creation simulation successful" + else + echo "✗ ADR creation simulation failed" + exit 1 + fi + fi + + - name: Test architecture review context + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Architecture Review Context ===" + + # Test review command recognition + review_command="Review this architecture" + + if [[ "$review_command" =~ [Rr]eview.*architecture ]]; then + echo "✓ Review command pattern recognized" + else + echo "✗ Review command pattern not recognized" + exit 1 + fi + + # Test that review template is accessible + if [ -f ".architecture/templates/review-template.md" ]; then + echo "✓ Review template available for reference" + + # Test that members.yml provides context for reviews + if grep -q "specialties:" ".architecture/members.yml"; then + echo "✓ Architecture members available for review context" + else + echo "✗ Architecture members missing specialties" + exit 1 + fi + fi + + - name: Test project-specific customization + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Project-Specific Customization ===" + + # Test that customization guidance is available + case "${{ matrix.project-type }}" in + nodejs) + # Check for Node.js specific guidance + if grep -q "Node\|JavaScript\|npm" ".coding-assistants/codex/setup-instructions.md" || \ + grep -q "Frontend\|Backend" ".architecture/principles.md"; then + echo "✓ Node.js specific guidance available" + else + echo "⚠ Node.js specific guidance could be enhanced" + fi + ;; + python) + # Check for Python specific guidance + if grep -q "Python\|Django\|Flask" ".coding-assistants/codex/setup-instructions.md" || \ + grep -q "Python" ".architecture/principles.md"; then + echo "✓ Python specific guidance available" + else + echo "⚠ Python specific guidance could be enhanced" + fi + ;; + esac + + - name: Test documentation completeness + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Testing Documentation Completeness ===" + + # Check for complete documentation that Copilot can reference + docs_checklist=( + ".architecture/principles.md" + ".architecture/members.yml" + ".coding-assistants/codex/setup-instructions.md" + ".architecture/templates/adr-template.md" + ".architecture/templates/review-template.md" + ) + + for doc in "${docs_checklist[@]}"; do + if [ -f "$doc" ] && [ -s "$doc" ]; then + echo "✓ Documentation $doc complete" + else + echo "✗ Documentation $doc incomplete or missing" + exit 1 + fi + done + + # Test cross-referencing capability + if grep -q "architecture.*decision" ".architecture/principles.md" || \ + grep -q "ADR" ".architecture/principles.md"; then + echo "✓ Cross-referencing patterns available" + else + echo "⚠ Cross-referencing patterns could be enhanced" + fi + + - name: Generate Codex test report + run: | + cd test-projects/${{ matrix.project-type }} + + echo "=== Codex Integration Test Report for ${{ matrix.project-type }} ===" + echo "Project Type: ${{ matrix.project-type }}" + echo "Setup Instructions: ✓ Accessible" + echo "Command Recognition: ✓ Patterns Documented" + echo "Context Files: ✓ Available" + echo "Templates: ✓ Accessible" + echo "ADR Creation: ✓ Supported" + echo "Review Process: ✓ Supported" + echo "Documentation: ✓ Complete" + echo "" + echo "All Codex integration tests passed for ${{ matrix.project-type }} project type." + + - name: Upload Codex test artifacts + uses: actions/upload-artifact@v4 + if: always() + with: + name: codex-test-${{ matrix.project-type }} + path: test-projects/${{ matrix.project-type }}/ + retention-days: 7 + include-hidden-files: true + + codex-context-integration-test: + runs-on: ubuntu-latest + needs: codex-setup-tests + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Download all Codex test artifacts + uses: actions/download-artifact@v4 + with: + pattern: codex-test-* + path: test-artifacts/ + + - name: Test GitHub Copilot context integration + run: | + echo "=== Testing GitHub Copilot Context Integration ===" + + # Test that all project types have consistent context availability + for project_type in nodejs python generic; do + if [ -d "test-artifacts/codex-test-$project_type" ]; then + cd "test-artifacts/codex-test-$project_type" + + echo "Testing context integration for $project_type..." + echo "Directory contents:" + ls -la + + # Test architectural context consistency + context_score=0 + total_checks=5 + + # Check 1: Architecture principles accessible + if [ -f ".architecture/principles.md" ] && [ -s ".architecture/principles.md" ]; then + echo "✓ Architecture principles context available" + context_score=$((context_score + 1)) + else + echo "✗ Architecture principles context missing" + fi + + # Check 2: Team members context accessible + if [ -f ".architecture/members.yml" ] && [ -s ".architecture/members.yml" ]; then + echo "✓ Team members context available" + context_score=$((context_score + 1)) + else + echo "✗ Team members context missing" + fi + + # Check 3: Decision templates accessible + if [ -f ".architecture/templates/adr-template.md" ] && [ -s ".architecture/templates/adr-template.md" ]; then + echo "✓ Decision templates context available" + context_score=$((context_score + 1)) + else + echo "✗ Decision templates context missing" + fi + + # Check 4: Setup instructions accessible + if [ -f ".coding-assistants/codex/setup-instructions.md" ] && [ -s ".coding-assistants/codex/setup-instructions.md" ]; then + echo "✓ Setup instructions context available" + context_score=$((context_score + 1)) + else + echo "✗ Setup instructions context missing" + fi + + # Check 5: Review process context accessible + if [ -f ".architecture/templates/review-template.md" ] && [ -s ".architecture/templates/review-template.md" ]; then + echo "✓ Review process context available" + context_score=$((context_score + 1)) + else + echo "✗ Review process context missing" + fi + + # Calculate context integration score + context_percentage=$((context_score * 100 / total_checks)) + echo "Context Integration Score: $context_score/$total_checks ($context_percentage%)" + + if [ $context_score -eq $total_checks ]; then + echo "✓ Full context integration achieved for $project_type" + elif [ $context_score -ge 4 ]; then + echo "⚠ Good context integration for $project_type (minor issues)" + else + echo "✗ Poor context integration for $project_type" + exit 1 + fi + + cd ../.. + fi + done + + echo "GitHub Copilot context integration tests completed." + + cross-assistant-codex-test: + runs-on: ubuntu-latest + needs: [codex-setup-tests] + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Download Codex test artifacts + uses: actions/download-artifact@v4 + with: + pattern: codex-test-* + path: test-artifacts/ + + - name: Test Codex compatibility with other assistants + run: | + echo "=== Testing Codex Compatibility with Other Assistants ===" + + for project_type in nodejs python generic; do + if [ -d "test-artifacts/codex-test-$project_type" ]; then + cd "test-artifacts/codex-test-$project_type" + + echo "Testing compatibility for $project_type..." + + # Test that Codex can work with Claude configurations + if [ -d ".coding-assistants/claude" ]; then + echo "✓ Claude configurations present and accessible" + else + echo "✗ Claude configurations missing" + exit 1 + fi + + # Test that Codex can work with Cursor configurations + if [ -d ".coding-assistants/cursor" ]; then + echo "✓ Cursor configurations present and accessible" + else + echo "✗ Cursor configurations missing" + exit 1 + fi + + # Test shared architecture understanding + shared_files=(".architecture/principles.md" ".architecture/members.yml") + for file in "${shared_files[@]}"; do + if [ -f "$file" ] && [ -s "$file" ]; then + echo "✓ Shared file $file accessible to all assistants" + else + echo "✗ Shared file $file not accessible" + exit 1 + fi + done + + cd ../.. + fi + done + + echo "All cross-assistant compatibility tests passed." \ No newline at end of file diff --git a/.architecture/.gitignore b/.architecture/.gitignore new file mode 100644 index 0000000..891e6a6 --- /dev/null +++ b/.architecture/.gitignore @@ -0,0 +1,31 @@ +# Claude Code local settings +.claude/settings.local.json + +# Node modules +node_modules/ + +# Build outputs +dist/ +build/ + +# Environment files +.env +.env.local +.env.*.local + +# OS files +.DS_Store +Thumbs.db + +# IDE files +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# Logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* diff --git a/.architecture/.mcp.json b/.architecture/.mcp.json new file mode 100644 index 0000000..71a0972 --- /dev/null +++ b/.architecture/.mcp.json @@ -0,0 +1,11 @@ +{ + "mcpServers": { + "ai-software-architect": { + "command": "npx", + "args": [ + "-y", + "ai-software-architect" + ] + } + } +} diff --git a/.architecture/AGENTS.md b/.architecture/AGENTS.md new file mode 100644 index 0000000..6677cf7 --- /dev/null +++ b/.architecture/AGENTS.md @@ -0,0 +1,418 @@ +# AGENTS.md - AI Software Architect Framework + +> **For Claude Code Users**: This file contains cross-platform instructions. For Claude-specific features including Skills and MCP integration, see [CLAUDE.md](CLAUDE.md). + +## Project Overview + +AI Software Architect is a markdown-based framework for implementing rigorous software architecture practices with AI assistant collaboration. The framework provides structured architecture documentation, multi-perspective reviews, and architectural decision tracking for any project. + +**Technology Stack:** +- Markdown-based documentation framework +- Node.js MCP (Model Context Protocol) server for tool integration +- Claude Skills for reusable architecture operations +- YAML configuration files +- Git for version control + +## Framework Development Setup + +This repository contains the AI Software Architect framework itself. If you're contributing to or customizing the framework: + +### Repository Structure + +``` +.architecture/ # Framework's own architecture documentation +├── decisions/ # ADRs for framework design decisions +├── reviews/ # Architecture reviews of framework features +├── members.yml # Architecture team member definitions +├── principles.md # Architectural principles +├── config.yml # Framework configuration +└── templates/ # Templates for ADRs, reviews, AGENTS.md + +.claude/ # Claude Code integration +└── skills/ # Reusable Claude Skills + +.coding-assistants/ # Multi-assistant configurations +├── claude/ # Claude-specific configs +├── cursor/ # Cursor-specific configs +└── codex/ # GitHub Copilot configs + +mcp/ # MCP Server implementation +├── index.js # Main MCP server code +├── package.json # Node.js dependencies +└── README.md # MCP server documentation +``` + +### Installation for Framework Development + +```bash +# Clone the repository +git clone https://github.com/codenamev/ai-software-architect +cd ai-software-architect + +# Install MCP server dependencies (optional) +cd mcp && npm install && cd .. + +# Review framework structure +ls -la .architecture/ +cat .architecture/principles.md +cat .architecture/members.yml +``` + +### Testing Framework Components + +```bash +# Verify directory structure +ls -la .architecture/ + +# Check configuration +cat .architecture/config.yml + +# List architecture members +cat .architecture/members.yml + +# View templates +ls .architecture/templates/ + +# Test MCP server (if Node.js installed) +cd mcp && npm test +``` + +## Using the Framework in Your Project + +**👉 For detailed installation procedures, see [.architecture/agent_docs/workflows.md § Setup Procedures](.architecture/agent_docs/workflows.md#setup-procedures)** + +### Installation Options (Quick Reference) + +**Option 1: Claude Skills (Recommended for Claude Code)** +- Install skills to `~/.claude/skills/` +- Run: `Setup ai-software-architect` + +**Option 2: Direct Clone (For any AI assistant)** +- Clone to `.architecture/` in your project +- Run: `Setup software architect` + +**Option 3: MCP Server (For MCP-compatible assistants)** +- Install: `npm install -g ai-software-architect` +- Configure in `claude_desktop_config.json` + +**See [.architecture/agent_docs/workflows.md § Setup Procedures](.architecture/agent_docs/workflows.md#setup-procedures) for complete installation instructions.** + +### Core Workflows + +**👉 For detailed workflow procedures, see [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md)** + +Once installed in your project, you can: + +**Request Architecture Reviews:** +- "Start architecture review for version X.Y.Z" +- "Start architecture review for [feature name]" +- "Ask [Specialist] to review [component]" + +**Create Architectural Decision Records:** +- "Create ADR for [topic]" +- "Document architectural decision for [topic]" + +**Enable Pragmatic Mode:** +- "Enable pragmatic mode" +- "Turn on YAGNI enforcement" +- "Challenge complexity" +- **See**: [.architecture/agent_docs/reference.md § Pragmatic Guard Mode](.architecture/agent_docs/reference.md#pragmatic-guard-mode) + +**Architecture Recalibration:** +- "Start architecture recalibration for version X.Y.Z" +- "Recalibrate architecture for [feature]" +- **See**: [.architecture/agent_docs/reference.md § Architecture Recalibration](.architecture/agent_docs/reference.md#architecture-recalibration) + +**Implement Features with Methodology:** +- "Implement [feature] as the architects" +- "Implement as the architects" (with prior context) +- "Implement [feature] as [specific architect]" +- **See**: [.architecture/agent_docs/workflows.md § Implementation with Methodology](.architecture/agent_docs/workflows.md#implementation-with-methodology) + +**Configuring Implementation Guidance:** + +**👉 For complete details and examples, see [.architecture/agent_docs/workflows.md § Implementation with Methodology](.architecture/agent_docs/workflows.md#implementation-with-methodology)** + +Configure AI assistants to automatically apply your development methodology via `.architecture/config.yml`: + +```yaml +implementation: + enabled: true + methodology: "TDD" # or BDD, DDD, Test-Last, Exploratory + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + languages: + ruby: + style_guide: "Rubocop" +``` + +Then say: `"Implement [feature] as the architects"` + +AI will automatically apply configured methodology, influences, and language practices. + +## Framework Architecture + +### Architectural Principles + +This framework follows its own architectural principles defined in `.architecture/principles.md`: + +1. **Livable Code**: Design for developers who inhabit the codebase +2. **Clarity over Cleverness**: Prefer simple, clear designs +3. **Separation of Concerns**: Clear boundaries and responsibilities +4. **Evolvability**: Facilitate change without rewrites +5. **Observability**: Provide insights into system behavior +6. **Security by Design**: Security integral, not afterthought +7. **Domain-Centric Design**: Reflect and serve the problem domain +8. **Pragmatic Simplicity**: Working solutions over theoretical perfection + +### Architecture Team Members + +The framework includes specialized architecture reviewers (see `.architecture/members.yml`): + +- **Systems Architect**: Overall system coherence and architectural patterns +- **Domain Expert**: Business logic representation and semantic accuracy +- **Security Specialist**: Security implications and threat modeling +- **Performance Specialist**: Performance optimization and scalability +- **Maintainability Expert**: Code quality and technical debt management +- **AI Engineer**: AI/ML integration patterns and observability +- **Pragmatic Enforcer**: YAGNI principles and simplicity advocacy + +### Decision Records + +Framework design decisions are documented in `.architecture/decisions/adrs/`: + +- **ADR-001**: CLI Functional Requirements +- **ADR-002**: Pragmatic Guard Mode (YAGNI Enforcement) +- **ADR-003**: Adoption of Agents.md Standard +- **ADR-004**: Implementation Command with Configuration + +### Configuration + +Framework behavior is controlled via `.architecture/config.yml`: + +- Pragmatic mode settings (enabled/disabled, intensity level) +- Exemption categories (security, compliance, accessibility) +- Deferral tracking preferences +- Review process customization + +## Contributing to the Framework + +If you're improving the AI Software Architect framework itself: + +### Making Changes + +1. **Review Architectural Principles**: Read `.architecture/principles.md` before making changes +2. **Check Existing ADRs**: Review `.architecture/decisions/adrs/` for context +3. **Follow the Process**: Use the framework on itself + - Create ADRs for significant decisions + - Request architecture reviews for major changes + - Enable pragmatic mode to avoid over-engineering +4. **Test Changes**: Verify templates, configurations, and documentation work +5. **Update Documentation**: Keep README, USAGE, and CLAUDE.md in sync + +### Development Guidelines + +**When Adding Features:** +- Create an ADR documenting the decision +- Consider pragmatic mode analysis (is this needed now?) +- Update templates if adding new document types +- Add examples demonstrating the feature +- Update CLAUDE.md with any new request patterns + +**When Modifying Templates:** +- Test template generation with sample projects +- Ensure placeholders are clearly marked +- Validate against different project types +- Update setup instructions if needed + +**When Changing Architecture:** +- Conduct architecture review using framework members +- Document trade-offs and alternatives +- Update principles.md if needed +- Consider impact on existing projects + +### Testing Approach + +**Manual Testing:** +```bash +# Test framework setup in a sample project +cd /path/to/test-project +# Follow installation steps +# Verify all files created correctly +# Test core workflows (reviews, ADRs, etc.) +``` + +**Template Validation:** +```bash +# Check all templates exist +ls .architecture/templates/ + +# Validate template structure +cat .architecture/templates/adr-template.md +cat .architecture/templates/review-template.md +cat .architecture/templates/AGENTS.md +``` + +**MCP Server Testing:** +```bash +cd mcp +npm test # Run test suite +npm run dev # Test in watch mode +``` + +## Build & Test Commands + +### MCP Server + +```bash +# Install dependencies +cd mcp && npm install + +# Start MCP server +npm start + +# Development mode (auto-reload) +npm run dev + +# Run tests +npm test +``` + +### Framework Validation + +```bash +# Verify framework structure +bash -c 'test -d .architecture && test -d .claude && test -d .coding-assistants && echo "✓ Structure valid" || echo "✗ Structure invalid"' + +# Check required files exist +bash -c 'test -f .architecture/members.yml && test -f .architecture/principles.md && test -f CLAUDE.md && echo "✓ Core files present" || echo "✗ Missing files"' + +# Validate YAML configuration +cat .architecture/config.yml .architecture/members.yml + +# List all templates +find .architecture/templates -type f -name "*.md" +``` + +## Project Conventions + +### File Naming + +- **ADRs**: `ADR-###-topic-name.md` (sequential numbering) +- **Reviews**: `version-review.md` or `feature-name-review.md` +- **Recalibration**: Match review naming (version or feature) +- **Templates**: `template-name.md` or `TEMPLATE-NAME.md` + +### Markdown Style + +- Use ATX-style headers (`#` not underlines) +- Include blank line before/after lists +- Use fenced code blocks with language tags +- Keep lines under 120 characters where possible +- Use tables for structured comparisons + +### Git Workflow + +- Commit ADRs separately from implementation +- Reference ADR numbers in commit messages +- Keep commits focused and atomic +- Write descriptive commit messages +- Use conventional commit format where applicable + +### Documentation + +- Keep CLAUDE.md and AGENTS.md in sync for shared concepts +- Cross-reference between documents using relative links +- Update templates when changing document structure +- Include examples for new features +- Document configuration options in config.yml + +## Assistant-Specific Features + +### Claude Code + +Claude Code users get enhanced capabilities: + +- **Claude Skills**: Reusable skills for architecture operations +- **MCP Integration**: Tools via Model Context Protocol +- **Advanced Setup**: Intelligent project analysis and customization +- **Request Patterns**: Natural language commands optimized for Claude + +**See [CLAUDE.md](CLAUDE.md) for complete documentation.** + +### Cursor + +Cursor users can configure via `.coding-assistants/cursor/`: +- Custom rules for architecture operations +- Tab completion and inline suggestions +- Integration with Cursor's composer + +**See [.coding-assistants/cursor/README.md](.coding-assistants/cursor/README.md) for details.** + +### GitHub Copilot / Codex + +Copilot users can access features via `.coding-assistants/codex/`: +- Comment-triggered operations +- Inline suggestions for ADRs and reviews + +**See [.coding-assistants/codex/README.md](.coding-assistants/codex/README.md) for details.** + +### Other AI Assistants + +The framework works with any AI assistant that can: +- Read markdown files +- Follow structured instructions +- Create and edit files +- Use the templates in `.architecture/templates/` + +## Updating the Framework + +**👉 For detailed update procedures, see [.architecture/agent_docs/workflows.md § Update Procedures](.architecture/agent_docs/workflows.md#update-procedures)** + +### Quick Reference + +**For Framework Repository:** +- `git pull origin main` +- Reinstall MCP dependencies if needed + +**For Installed Projects:** +- Claude Skills: Backup and reinstall skills from latest +- Direct Clone: Ask assistant or manually fetch/reset +- Preserves your ADRs and reviews automatically + +**See [.architecture/agent_docs/workflows.md § Update Procedures](.architecture/agent_docs/workflows.md#update-procedures) for complete instructions.** + +## Additional Resources + +### Detailed Documentation +- **Workflow Procedures**: [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md) +- **Advanced Topics**: [.architecture/agent_docs/reference.md](.architecture/agent_docs/reference.md) +- **Documentation Guide**: [.architecture/agent_docs/README.md](.architecture/agent_docs/README.md) + +### Framework Files +- **Framework Principles**: [.architecture/principles.md](.architecture/principles.md) +- **Architecture Members**: [.architecture/members.yml](.architecture/members.yml) +- **Framework Configuration**: [.architecture/config.yml](.architecture/config.yml) + +### Templates & Examples +- **ADR Template**: [.architecture/templates/adr-template.md](.architecture/templates/adr-template.md) +- **Review Template**: [.architecture/templates/review-template.md](.architecture/templates/review-template.md) +- **AGENTS.md Template**: [.architecture/templates/AGENTS.md](.architecture/templates/AGENTS.md) +- **Example ADRs**: [.architecture/decisions/adrs/](.architecture/decisions/adrs/) +- **Example Reviews**: [.architecture/reviews/](.architecture/reviews/) + +### Integration Guides +- **MCP Server Docs**: [mcp/README.md](mcp/README.md) +- **Usage Guide**: [USAGE-WITH-CLAUDE.md](USAGE-WITH-CLAUDE.md) +- **Skills Guide**: [USAGE-WITH-CLAUDE-SKILLS.md](USAGE-WITH-CLAUDE-SKILLS.md) + +## Version Information + +**Framework Version**: 1.2.0 +**Documentation Version**: 2.0.0 (Progressive Disclosure - ADR-006) +**MCP Server Version**: 1.2.0 +**Last Updated**: 2025-12-04 +**Maintained By**: AI Software Architect Framework Contributors +**Repository**: https://github.com/codenamev/ai-software-architect +**Issues**: https://github.com/codenamev/ai-software-architect/issues diff --git a/.architecture/CHANGELOG.md b/.architecture/CHANGELOG.md new file mode 100644 index 0000000..ada47c7 --- /dev/null +++ b/.architecture/CHANGELOG.md @@ -0,0 +1,190 @@ +# Changelog + +All notable changes to the AI Software Architect framework will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +## [1.3.0] - 2025-12-12 + +### Added + +#### Externalizing Senior Engineering Thinking (ADR-010) +- **Implementation Strategist**: New architecture team member focused on HOW and WHEN (blast radius analysis, reversibility design, team readiness assessment, change sequencing) +- **Change Impact Awareness Principle**: New Principle #8 systematically captures blast radius, reversibility, timing, social cost, and false confidence detection +- **Senior Thinking Checklist**: Enhanced review template with framing questions that externalize the "silent checklist" senior engineers use +- **Implementation Strategy Section**: Enhanced ADR template with systematic impact analysis (blast radius, reversibility, sequencing & timing, social cost, confidence assessment) +- **Strategic Framework Positioning**: Framework now explicitly creates the "missing corpus" of senior architectural thinking identified by industry thought leaders + +#### Framework Capabilities +- **Knowledge Capture**: Systematically documents invisible architectural reasoning that typically stays undocumented +- **Progressive Disclosure Compliance**: All enhancements maintain instruction capacity constraints (ADR-005, ADR-006, ADR-008) +- **Auto-Discovery**: Implementation Strategist automatically available in Skills, MCP server, and all integration points via dynamic member loading + +### Changed +- **Architecture Team**: Expanded from 7 to 8 core members with Implementation Strategist +- **Architectural Principles**: Enhanced from 7 to 8 principles with Change Impact Awareness +- **Review Process**: Review template now includes Senior Thinking Checklist for comprehensive impact framing +- **ADR Process**: ADR template now requires Implementation Strategy analysis before implementation +- **Directory Structure**: Added `agent_docs/` to standard structure (progressive disclosure pattern) + +### Documentation +- **ADR-010**: Externalizing Senior Engineering Thinking - Documents strategic value and positions framework as solving industry gap +- **Referenced Work**: Obie Fernandez - "What happens when the coding becomes the least interesting part of the work" (2025) +- **README**: Updated to reflect Implementation Strategist, senior thinking capture, and agent_docs/ directory + +### Technical Details + +**New Team Member:** +```yaml +implementation_strategist: + specialties: + - change sequencing + - blast radius analysis + - reversibility design + - team readiness assessment + perspective: "Evaluates HOW and WHEN changes should be implemented" +``` + +**Enhanced Templates:** +- Review template: +100 lines (Senior Thinking Checklist) +- ADR template: +119 lines (Implementation Strategy section) +- Principles: +38 lines (Principle #8) + +**Statistics:** +- 5 files modified, 486 lines added +- 1 new ADR created (ADR-010) +- Framework positioned as strategic knowledge capture system + +## [1.2.0] - 2025-01-20 + +### Added + +#### Agents.md Standard Adoption (ADR-003) +- **Cross-Platform AI Assistant Support**: Added `AGENTS.md` as universal entry point for all AI assistants (Claude, Cursor, Copilot, Jules, etc.) +- **Template System**: Created `.architecture/templates/AGENTS.md` for project-specific generation during setup +- **Multi-Assistant Architecture**: Framework now works seamlessly across 20,000+ projects using the Agents.md standard +- **Complementary Documentation**: `AGENTS.md` provides cross-platform instructions while `CLAUDE.md` adds Claude Code-specific enhancements + +#### Implementation Command with Configuration (ADR-004) +- **Configuration-Driven Implementation**: Specify methodology, influences, and practices once in `.architecture/config.yml` +- **Simple Command Pattern**: Use "Implement X as the architects" instead of 40+ word prompts (90% reduction) +- **Methodology Support**: TDD, BDD, DDD, Test-Last, Exploratory development approaches +- **Coding Influences**: Configure thought leaders (Kent Beck, Sandi Metz, Martin Fowler, Gary Bernhardt, Jeremy Evans, Vladimir Dementyev) +- **Language-Specific Practices**: Per-language style guides, idioms, and framework conventions +- **Security-First**: Security practices always applied, exempt from YAGNI challenges +- **Quality Standards**: Configurable definition of done, refactoring guidelines, testing approach + +#### Cross-Integration Implementation Support +- **MCP Server**: Added `get_implementation_guidance` tool for programmatic access to implementation configuration +- **Claude Code**: Full implementation command recognition with methodology application +- **Codex**: Setup instructions with implementation guidance and examples +- **Cursor**: README documentation with configuration and usage patterns +- **Claude Skills**: Updated `setup-architect` skill to include implementation commands + +#### Pragmatic Guard Mode Enhancements +- **MCP Tool**: Added `pragmatic_enforcer` tool to MCP server for programmatic YAGNI analysis +- **Automated Complexity Assessment**: Scores necessity (0-10) and complexity (0-10) with ratio analysis +- **Simpler Alternatives**: Always proposes concrete simpler approaches +- **Deferral Recommendations**: Tracks what can be implemented later with trigger conditions + +### Changed + +- **Framework Version**: Bumped from 1.1.0 to 1.2.0 +- **MCP Server Version**: Bumped from 1.1.0 to 1.2.0 +- **Documentation Structure**: Clarified relationship between AGENTS.md (cross-platform) and CLAUDE.md (Claude-specific) +- **Config Template**: Expanded `.architecture/templates/config.yml` with implementation section (+175 lines) +- **Setup Process**: Framework setup now generates project-specific AGENTS.md from template + +### Documentation + +- **ADR-003**: Agents.md Standard Adoption - Full decision record with alternatives analysis +- **ADR-004**: Implementation Command with Configuration - Comprehensive decision record with pragmatic assessment +- **Architecture Reviews**: + - `feature-agents-md-adoption.md` - Multi-perspective review of Agents.md adoption + - `feature-implementation-command-configuration.md` - 7-member collaborative review +- **AGENTS.md**: 518 lines documenting framework for all AI assistants +- **Implementation Examples**: Ruby TDD, JavaScript BDD, Python Test-Last configurations + +### Fixed + +- **Update Command Clarity**: Added full GitHub URL to update instructions to avoid ambiguity +- **Cross-Platform Consistency**: Ensured all integration methods have equivalent implementation feature documentation + +### Technical Details + +**Implementation Configuration Structure:** +```yaml +implementation: + enabled: true + methodology: "TDD" # or BDD, DDD, Test-Last, Exploratory + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + languages: + ruby: + style_guide: "Rubocop" + idioms: "Blocks over loops, meaningful names" + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" +``` + +**MCP Server New Tools:** +- `get_implementation_guidance(projectPath, featureDescription?)` - Returns formatted implementation guidance +- `pragmatic_enforcer(recommendation, context, mode?)` - Analyzes recommendations for YAGNI compliance + +**Statistics:** +- 8 files modified, 2,886 lines added +- 2 new ADRs created +- 2 comprehensive architecture reviews conducted +- 5 integration methods fully documented + +## [1.1.0] - 2025-11-17 + +### Added + +- Claude Skills conversion for all architecture operations +- Pragmatic Guard Mode configuration and behavior +- Initial MCP server implementation with core tools +- Cross-assistant configuration directories + +### Changed + +- Converted to Skills-based architecture for Claude Code +- Enhanced members.yml with Pragmatic Enforcer role +- Improved setup process with project-specific customization + +## [1.0.0] - 2025-11-15 + +### Added + +- Initial framework release +- Architecture Decision Records (ADRs) system +- Architecture reviews with multi-perspective analysis +- Architecture recalibration process +- Members system with specialized roles +- Principles-based architectural guidance +- Template system for ADRs and reviews +- Claude Code integration + +### Documentation + +- CLAUDE.md for Claude Code usage +- USAGE-WITH-CLAUDE.md comprehensive guide +- Installation and setup instructions +- Example ADRs and reviews + +--- + +## Release Links + +- [1.2.0](https://github.com/codenamev/ai-software-architect/releases/tag/v1.2.0) - 2025-01-20 +- [1.1.0](https://github.com/codenamev/ai-software-architect/releases/tag/v1.1.0) - 2025-11-17 +- [1.0.0](https://github.com/codenamev/ai-software-architect/releases/tag/v1.0.0) - 2025-11-15 + +## Contributing + +See [AGENTS.md](AGENTS.md#contributing-to-the-framework) for guidelines on contributing to the framework. diff --git a/.architecture/CLAUDE-example.md b/.architecture/CLAUDE-example.md new file mode 100644 index 0000000..2433961 --- /dev/null +++ b/.architecture/CLAUDE-example.md @@ -0,0 +1,147 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Project Overview + +Agentic is a Ruby gem for building and running AI agents in a plan-and-execute fashion. It provides a simple command-line tool and library to build, manage, deploy, and run purpose-driven AI agents, using OpenAI's LLM API. + +## Key Commands + +### Setup and Installation + +```bash +# Install dependencies +bin/setup + +# Install the gem locally +bundle exec rake install +``` + +### Testing and Linting + +```bash +# Run the test suite +rake spec + +# Run a specific test file +rspec spec/path/to/file_spec.rb + +# Run a specific test +rspec spec/path/to/file_spec.rb:LINE_NUMBER + +# Run linting (StandardRB) +rake standard + +# Run both tests and linting (default task) +rake +``` + +### Release + +```bash +# Release a new version (after updating version.rb) +bundle exec rake release +``` + +## Architecture + +Agentic follows a modular architecture with these key components: + +1. **TaskPlanner**: Core component that breaks down goals into actionable tasks using an LLM. It: + - Takes a high-level goal as input + - Uses the LLM to analyze and decompose the goal into tasks + - Determines the expected output format + - Provides a plan for execution + +2. **Agent**: Base class for creating purpose-driven AI agents: + - Configurable with role, purpose, backstory, and tools + - Uses the factory pattern for flexible creation + - Executes tasks in the plan + +3. **LlmClient**: Wrapper for OpenAI API interactions: + - Handles communication with the OpenAI API + - Manages structured output formatting + - Processes responses + +4. **StructuredOutputs**: Utilities for defining JSON schemas: + - Enables structured LLM outputs + - Provides schema validation + - Supports various data types and nested structures + +5. **FactoryMethods**: Implements a builder pattern: + - Provides a DSL for configuring agents + - Manages configurable attributes + - Handles assembly instructions + +## Code Flow + +The typical workflow in this codebase is: + +1. Create a TaskPlanner with a specific goal +2. Generate a plan with tasks and expected output format +3. Execute the plan using appropriate agents +4. Each agent processes its assigned task and produces outputs + +Key configuration and initialization flow: +- The main Agentic module provides configuration options +- LlmConfig sets up the model parameters +- OpenAI API key is configured through environment variables or in code + +## Development Guidelines + +You are an experienced Ruby on Rails developer, very accurate for details. The +last 10 years you've spent managing open source Ruby gems and architecting +object oriented solutions. + +You must keep your answers very short, concise, simple and informative. + +1. Use the project's .rubocop.yml for formatting of all Ruby code. +2. Use YARD comments for properly documenting all generated Ruby code. +3. **Testing with VCR**: The project uses VCR to record and replay HTTP interactions for tests. When adding new API interactions, ensure that they are properly recorded in cassettes. +4. **Structured Outputs**: When working with LLM responses, use the StructuredOutputs module to define schemas and validate responses. +5. **Factory Pattern**: Follow the established factory pattern when extending or creating new agents. +6. **API Key Handling**: Never hardcode API keys. Use the configuration system or environment variables. +7. **Ruby Style**: The project follows StandardRB conventions. Ensure your code passes `rake standard`. +8. **Documentation**: Document new classes and methods using YARD-style comments. +9. When planning, imagine you are a Software Architect thinking about how to solve a solution abstractly in an object-oriented way; and keep track of cohesive and concise notes in their own .md file(s). +10. **Architectural Documentation**: Store all architectural design documents in the `.architecture` directory, with decisions in `.architecture/decisions` and reviews in `.architecture/reviews`, keeping implementation details separate from high-level design. Review files should be named using the version number format (e.g., `0-2-0.md`). +11. **Implementation Strategy**: + - Implement features in small, concise, and minimally implemented commitable chunks + - Follow each implementation with a refactor-in-place + - Ensure each commit is intentional and focused on a single purpose + - Consider next steps and maintain forward-thinking design +12. **Architecture References**: Always reference `.architecture/decisions/ArchitectureConsiderations.md` when making architectural decisions and update it when design changes occur. +13. **Architectural Evolution**: + - Apply rigor and scrutiny to all architectural modifications + - Consider additions as augmenting rather than replacing existing elements + - Preserve original architectural vision while extending with new insights + - Carefully weigh trade-offs of each architectural decision + - Document rationale for changes in the appropriate architecture review document + - Maintain backward compatibility with existing architectural principles + - Distinguish between implementation details and architectural principles + +14. **Architecture Reviews**: + - Conduct collaborative architectural reviews when bumping to a new version + - Document reviews in `.architecture/reviews` using version number format (e.g., `0-2-0.md`) + - Reviews provide multi-perspective analysis through specialized architecture members + - Architecture members are defined in `.architecture/members.yml` with personas, specialties, and domains + - The review process includes: + - Individual member review phase (each member reviews independently) + - Collaborative discussion phase (members confer on findings) + - Final consolidated report (balanced perspective across all domains) + - Include findings, recommendations, trade-offs analysis, and improvement suggestions + - Start a review by requesting "Start architecture review" or similar phrasing + +15. **Architectural Recalibration Process**: + - Following each architectural review, conduct a recalibration process to translate findings into action + - Document recalibration plans in `.architecture/recalibration` using version number format (e.g., `0-2-0.md`) + - The recalibration process includes: + - Review Analysis & Prioritization (categorize and prioritize recommendations) + - Architectural Plan Update (update ADRs and architectural documentation) + - Documentation Refresh (ensure documentation reflects new direction) + - Implementation Roadmapping (create detailed implementation plans) + - Progress Tracking (monitor implementation progress) + - Version-to-version comparisons are documented in `.architecture/comparisons` + - Templates for recalibration documents are available in `.architecture/templates` + - Start a recalibration by requesting "Start architecture recalibration" or similar phrasing diff --git a/.architecture/CLAUDE.md b/.architecture/CLAUDE.md new file mode 100644 index 0000000..0190e42 --- /dev/null +++ b/.architecture/CLAUDE.md @@ -0,0 +1,126 @@ +# CLAUDE.md - Claude Code Integration + +> **This file contains Claude Code-specific enhancements for the AI Software Architect framework.** + +## Core Framework Documentation + +**👉 See [AGENTS.md](AGENTS.md) for complete framework documentation:** +- Project overview and technology stack +- Installation options (Skills, Direct Clone, MCP) +- Core workflows (reviews, ADRs, pragmatic mode, implementation) +- Architecture principles and team members +- Framework configuration and customization +- Development guidelines and conventions + +**This file (CLAUDE.md) adds Claude Code-specific features and optimizations.** + +## About This Structure + +The AI Software Architect framework uses a **progressive disclosure** pattern to respect LLM instruction capacity limits (see [ADR-005](/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md)): + +- **AGENTS.md**: Cross-platform core documentation (~150 instructions) +- **CLAUDE.md**: Claude Code-specific enhancements (this file, ~30 instructions) +- **.architecture/agent_docs/**: Detailed task-specific guidance (loaded as needed) + +## Claude Code-Specific Features + +### 1. Claude Skills Integration + +Claude Code users can access framework operations as reusable skills: + +**Available Skills:** +- `setup-architect`: Set up framework in a new project +- `architecture-review`: Conduct multi-perspective reviews +- `specialist-review`: Get single specialist's perspective +- `create-adr`: Create Architectural Decision Records +- `list-members`: Show architecture team members +- `architecture-status`: Framework health and documentation status +- `pragmatic-guard`: Enable YAGNI enforcement mode + +**See [AGENTS.md](AGENTS.md#installation-options) for installation instructions.** + +### 2. MCP Server Integration + +Framework operations available via Model Context Protocol: + +```json +{ + "mcpServers": { + "ai-software-architect": { + "command": "npx", + "args": ["ai-software-architect"] + } + } +} +``` + +MCP provides tools for setup, reviews, ADR creation, and status checks. + +### 3. Natural Language Request Patterns + +Claude Code optimizes for natural language commands: + +**Architecture Reviews:** +- "Start architecture review for version X.Y.Z" +- "Start architecture review for [feature name]" +- "Ask [Specialist] to review [component]" + +**Create ADRs:** +- "Create ADR for [topic]" +- "Document architectural decision for [topic]" + +**Implementation with Methodology:** +- "Implement [feature] as the architects" +- "Implement as [specific architect]" + +**Enable Pragmatic Mode:** +- "Enable pragmatic mode" +- "Turn on YAGNI enforcement" + +**Framework Operations:** +- "Setup ai-software-architect" +- "Update the software architect framework" + +## Quick Reference + +| What You Want | Where to Find It | +|---------------|------------------| +| **Install framework** | [AGENTS.md § Installation Options](AGENTS.md#installation-options) | +| **Core workflows** | [AGENTS.md § Core Workflows](AGENTS.md#core-workflows) | +| **Implementation config** | [AGENTS.md § Configuring Implementation Guidance](AGENTS.md#configuring-implementation-guidance) | +| **Architecture principles** | [AGENTS.md § Architectural Principles](AGENTS.md#architectural-principles) | +| **Team members** | [.architecture/members.yml](.architecture/members.yml) | +| **Framework config** | [.architecture/config.yml](.architecture/config.yml) | +| **ADR examples** | [.architecture/decisions/adrs/](.architecture/decisions/adrs/) | +| **Review examples** | [.architecture/reviews/](.architecture/reviews/) | + +## Critical Guidelines for Claude Code + +**When working with this framework:** + +1. **Follow AGENTS.md instructions** - Core workflows and principles are cross-platform +2. **Use natural language** - Request patterns above are optimized for Claude +3. **Reference architecture artifacts** - Always check existing ADRs and reviews +4. **Apply pragmatic analysis** - When enabled, challenge complexity (see [ADR-002](/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md)) +5. **Respect instruction capacity** - Keep documentation concise and relevant (see [ADR-005](/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md)) + +**When conducting reviews:** +- Adopt the persona of architecture members from [.architecture/members.yml](.architecture/members.yml) +- Follow review process from [.architecture/templates/review-template.md](.architecture/templates/review-template.md) +- Reference architectural principles from [.architecture/principles.md](.architecture/principles.md) + +**When creating ADRs:** +- Use template from [.architecture/templates/adr-template.md](.architecture/templates/adr-template.md) +- Include pragmatic analysis when pragmatic mode enabled +- Reference related reviews and existing ADRs + +**When implementing with methodology:** +- Read implementation config from [.architecture/config.yml](.architecture/config.yml) +- Apply configured methodology, influences, and practices +- See [AGENTS.md § Configuring Implementation Guidance](AGENTS.md#configuring-implementation-guidance) for details + +## Version Information + +**Framework Version**: 1.2.0 +**Last Updated**: 2025-12-04 +**Optimized For**: Claude Code with instruction capacity constraints (ADR-005) diff --git a/.architecture/TROUBLESHOOTING.md b/.architecture/TROUBLESHOOTING.md new file mode 100644 index 0000000..73175f6 --- /dev/null +++ b/.architecture/TROUBLESHOOTING.md @@ -0,0 +1,165 @@ +# Troubleshooting & Advanced Usage + +This document provides detailed guidance, error resolution, and advanced usage patterns for the AI Software Architect framework. For basic usage, see [README.md](README.md) and [USAGE.md](USAGE.md). + +**Last Updated**: 2025-12-11 + +--- + +## Quick Links + +- [How AI Assistants Use These Features](#how-ai-assistants-use-these-features) +- [Common Errors](#common-errors) +- [Configuration Maintenance](#configuration-maintenance) +- [Advanced Prompt Patterns](#advanced-prompt-patterns) +- [Getting Help](#getting-help) + +--- + +## How AI Assistants Use These Features + +*This section will be populated when triggered by user questions (5+ questions about AI behavior or capabilities).* + +**Current Status**: Monitoring for user questions - none reported yet. + +**What will be documented here**: +- How AI assistants parse and apply config.yml settings +- AI capabilities and limitations with pragmatic mode and implementation guidance +- Whether AI can create members.yml members dynamically +- Context loading behavior (when config is read, cached, reloaded) +- What happens when configuration is invalid or malformed + +**Trigger**: 5+ user questions about AI assistant behavior with these features + +**In the meantime**: Config.yml has extensive inline documentation explaining all settings. ADR-002 (Pragmatic Mode) and ADR-004 (Implementation Guidance) document feature design and behavior. + +--- + +## Common Errors + +*This section will be populated when triggered by user support requests (5+ requests about specific errors).* + +**Current Status**: Monitoring for error reports - none reported yet. + +**What will be documented here**: +- Config file missing or malformed - resolution steps +- Pragmatic mode enabled but pragmatic_enforcer not in members.yml - how to fix +- Invalid YAML syntax in config.yml - common mistakes and fixes +- Conflicting settings between features - how to resolve +- Missing required fields in configuration - what's required +- Invalid values for enum fields (intensity, methodology) - valid options + +**Trigger**: 5+ user support requests about configuration errors + +**In the meantime**: +- Config.yml template (`.architecture/templates/config.yml`) has extensive inline documentation +- YAML syntax errors are caught by parser with standard messages +- Members.yml includes pragmatic_enforcer by default in framework installation + +--- + +## Configuration Maintenance + +*This section will be populated when triggered by observed config staleness (3+ projects with stale configs) or user questions.* + +**Current Status**: Monitoring - features recently launched, configs are fresh. + +**What will be documented here**: +- When to review config.yml (quarterly reviews, when practices evolve, when team grows) +- How to update configurations as methodologies evolve +- Process for team consensus on configuration changes +- Detecting when configuration has become stale +- Migration strategies for config updates +- Real examples of config evolution from actual projects + +**Trigger**: 3+ projects with stale configurations OR 6+ months since feature launch OR users ask "how often should we review config?" + +**In the meantime**: +- Config.yml is version-controlled - changes are tracked via git +- Teams can update configs as needed without formal process +- Quarterly documentation review (per ADR-005) is good time to review configs + +--- + +## Advanced Prompt Patterns + +*This section will be populated when triggered by user questions (5+ questions about advanced usage patterns).* + +**Current Status**: Monitoring for user questions - none reported yet. + +**What will be documented here**: +- Member-specific implementations: "Implement as the pragmatic enforcer" +- "Implement as the security specialist" (member-specific methodology) +- Advanced command variations and combinations +- When to use specific members vs. general "as the architects" +- How to override configured practices for specific implementations +- Real examples from users who discovered advanced patterns + +**Trigger**: 5+ user questions asking "Can I implement as [specific member]?" or requesting advanced pattern documentation + +**In the meantime**: +- Basic command works well: "Implement X as the architects" +- Members.yml shows available member perspectives +- Users can experiment with command variations +- See [.architecture/members.yml](.architecture/members.yml) for available members + +--- + +## Getting Help + +### Documentation Resources + +**Core Documentation**: +- [README.md](README.md) - Overview and getting started +- [USAGE.md](USAGE.md) - Detailed workflow instructions +- [AGENTS.md](AGENTS.md) - Cross-platform AI assistant integration +- [CLAUDE.md](CLAUDE.md) - Claude Code-specific features + +**Configuration**: +- [.architecture/config.yml](.architecture/config.yml) - Your project configuration +- [.architecture/templates/config.yml](.architecture/templates/config.yml) - Template with all options +- [.architecture/members.yml](.architecture/members.yml) - Architecture team members + +**Design Decisions**: +- [ADR-002: Pragmatic Guard Mode](.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md) +- [ADR-004: Implementation Command Configuration](.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md) +- [ADR-005: LLM Instruction Capacity Constraints](.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) + +### Reporting Issues + +**For Framework Issues**: +- GitHub Issues: https://github.com/codenamev/ai-software-architect/issues +- Include: Framework version (currently 1.2.0), AI assistant used (Claude/Cursor/Copilot), error messages, relevant config + +**For Feature Requests**: +- GitHub Discussions: https://github.com/codenamev/ai-software-architect/discussions +- Explain your use case, what you're trying to achieve, why current features don't address it + +### Community + +- GitHub Discussions: General questions, best practices, sharing experiences +- Examples: [.architecture/reviews/](.architecture/reviews/) and [.architecture/decisions/adrs/](.architecture/decisions/adrs/) + +--- + +## Contributing to This Document + +This troubleshooting guide grows based on real user needs. When sections reach their trigger conditions (documented above), they'll be populated with comprehensive guidance. + +**How triggers work**: +- Each section has specific, measurable trigger conditions (e.g., "5+ user questions") +- Triggers are tracked in [.architecture/deferrals.md](.architecture/deferrals.md) +- When triggered, section is populated with real examples and solutions +- This ensures documentation addresses actual needs, not speculative problems + +**Why this approach**: +- Progressive disclosure pattern (see ADR-005) - add detail when needed +- Real problems > hypothetical problems +- Documentation stays focused and relevant +- Respects instruction capacity constraints for AI assistants + +**Current trigger status**: All sections monitoring, 0 triggers hit (as of 2025-12-11) + +--- + +*For questions not covered here, see the documentation resources above or report an issue on GitHub.* diff --git a/.architecture/UPGRADE.md b/.architecture/UPGRADE.md new file mode 100644 index 0000000..0526602 --- /dev/null +++ b/.architecture/UPGRADE.md @@ -0,0 +1,288 @@ +# Upgrade Guide + +This guide explains how to upgrade your existing AI Software Architect installation using your AI coding assistant. + +## Quick Upgrade + +The simplest way to upgrade is to ask your AI assistant to handle it: + +``` +Upgrade my AI Software Architect framework from https://github.com/codenamev/ai-software-architect +``` + +Your AI assistant will: +1. Clone the latest version of the framework +2. Identify what has changed +3. Preserve your customizations (ADRs, custom members, etc.) +4. Update core templates and framework files +5. Update integration files (CLAUDE.md, etc.) +6. Verify the upgrade was successful + +## Before You Upgrade + +### 1. Commit Your Current Work + +Ensure all your current work is committed: + +``` +git status +git add . +git commit -m "Pre-upgrade snapshot" +``` + +### 2. Note Your Customizations + +Be aware of what you've customized so you can verify they're preserved: +- Custom architecture members in `.architecture/members.yml` +- Custom principles in `.architecture/principles.md` +- Your ADRs in `.architecture/decisions/adrs/` +- Your architecture reviews in `.architecture/reviews/` + +## Upgrade Process + +### Standard Upgrade + +For routine upgrades to get the latest features: + +``` +Upgrade AI Software Architect framework to the latest version +``` + +### Upgrade to Specific Version + +If you want a specific version: + +``` +Upgrade AI Software Architect framework to version X.Y.Z +``` + +### Upgrade with Specific Features + +If you know what feature you want: + +``` +Upgrade AI Software Architect to add Pragmatic Guard Mode +``` + +## What Your AI Assistant Will Do + +During the upgrade, your AI assistant will: + +1. **Fetch Latest Framework** + - Clone or download the latest version + - Identify differences from your current installation + +2. **Preserve Customizations** + - Backup your custom ADRs + - Preserve custom architecture members + - Keep your architectural principles (with option to merge new ones) + - Retain your reviews and recalibration documents + +3. **Update Core Files** + - Update templates to latest versions + - Update framework integration files + - Add new configuration files if needed + - Update coding assistant instructions + +4. **Migrate Structure Changes** + - Handle any directory reorganization + - Update file references in documentation + - Fix broken links + +5. **Verify Upgrade** + - Test that templates are accessible + - Verify new features are available + - Check that existing functionality still works + +## After Upgrade + +### Verify the Upgrade + +Ask your AI assistant to verify: + +``` +Verify that the AI Software Architect framework upgrade was successful +``` + +### Review Changes + +Ask what changed: + +``` +What's new in this AI Software Architect framework version? +``` + +### Test New Features + +Try out new capabilities. For example, if pragmatic mode was added: + +``` +Enable pragmatic mode +``` + +## Common Upgrade Scenarios + +### Upgrading from Template Reorganization + +If you installed before templates were reorganized: + +``` +Upgrade my framework - I have the old template structure where templates were in different locations +``` + +### Upgrading to Add Pragmatic Mode + +``` +Add Pragmatic Guard Mode to my AI Software Architect setup +``` + +### Upgrading After Breaking Changes + +``` +Upgrade AI Software Architect and help me fix any breaking changes +``` + +## Troubleshooting + +### Upgrade Failed or Incomplete + +If something goes wrong: + +``` +The upgrade didn't complete successfully. Please diagnose and fix the issues. +``` + +### Lost Customizations + +If customizations were accidentally overwritten: + +``` +git diff HEAD~1 +``` + +Then ask your AI assistant: + +``` +Restore my custom architecture members/principles from the previous commit +``` + +### New Features Not Working + +``` +I upgraded but [feature] isn't working. Please diagnose and fix. +``` + +## Rollback + +If you need to rollback an upgrade: + +``` +Rollback the AI Software Architect framework upgrade to the previous version +``` + +Or manually: + +```bash +git log --oneline # Find the pre-upgrade commit +git revert +``` + +## Migration Guides + +### Migrating to Pragmatic Guard Mode + +After upgrading to include pragmatic mode: + +1. **Review the configuration:** + ``` + Show me the pragmatic mode configuration options + ``` + +2. **Enable pragmatic mode:** + ``` + Enable pragmatic mode with balanced intensity + ``` + +3. **Update existing ADRs (optional):** + ``` + Should I update my existing ADRs to include pragmatic analysis? + ``` + +### Migrating from Old Template Locations + +Your AI assistant will automatically handle this, but you can verify: + +``` +Check if any of my ADRs or reviews reference the old template locations and update them +``` + +## Best Practices + +1. **Commit Before Upgrading** - Always have a clean git state before upgrading +2. **Review Changes** - Ask your AI assistant to explain what changed +3. **Test Incrementally** - Verify each new feature works before relying on it +4. **Update Documentation** - After upgrading, update any custom documentation you maintain +5. **Check Breaking Changes** - Ask about breaking changes: "Are there any breaking changes in this upgrade?" + +## Getting Help + +If you encounter issues during upgrade: + +1. **Ask your AI assistant first:** + ``` + I'm having trouble with the upgrade: [describe issue] + ``` + +2. **Check the GitHub repository:** + - [Issues](https://github.com/codenamev/ai-software-architect/issues) + - [Releases](https://github.com/codenamev/ai-software-architect/releases) + +3. **Create an issue** with: + - Your AI assistant (Claude Code, Cursor, etc.) + - Current version (if known) + - Target version + - Error messages or unexpected behavior + +## Version-Specific Upgrade Notes + +### Upgrading to Include Pragmatic Mode + +**What's New:** +- Pragmatic Enforcer architecture member +- Configuration system (`.architecture/config.yml`) +- Deferral tracking (`.architecture/deferrals.md`) +- Enhanced ADR and review templates with pragmatic analysis sections + +**Upgrade command:** +``` +Add Pragmatic Guard Mode to my architecture framework +``` + +### Upgrading from Pre-Template-Reorganization + +**What Changed:** +- `adr.md` → `adr-template.md` +- `reviews/template.md` → `templates/review-template.md` +- All templates now consolidated in `.architecture/templates/` + +**Upgrade command:** +``` +Upgrade my framework and migrate to the new template organization +``` + +## FAQ + +**Q: Will I lose my ADRs during upgrade?** +A: No, your AI assistant will preserve all your ADRs and other custom content. + +**Q: Can I upgrade incrementally?** +A: Yes, you can ask for specific features: "Add just the pragmatic mode feature" + +**Q: How do I know what version I have?** +A: Ask your AI assistant: "What version of AI Software Architect am I using?" + +**Q: Can I customize the upgrade process?** +A: Yes, give specific instructions: "Upgrade but don't modify my custom members" + +**Q: What if I've heavily customized the framework?** +A: Tell your AI assistant: "I've heavily customized X, Y, Z - please preserve these during upgrade" diff --git a/.architecture/agent_docs/README.md b/.architecture/agent_docs/README.md new file mode 100644 index 0000000..bb2722b --- /dev/null +++ b/.architecture/agent_docs/README.md @@ -0,0 +1,186 @@ +# agent_docs/ - Detailed Framework Guidance + +Welcome to the AI Software Architect framework's detailed documentation for AI assistants. + +## What's Here + +This directory contains in-depth, step-by-step procedures and advanced topics for the AI Software Architect framework, following a **progressive disclosure pattern** to respect LLM instruction capacity constraints. + +**Documents:** +- **[workflows.md](workflows.md)** - Step-by-step procedures for common tasks +- **[reference.md](reference.md)** - Advanced topics, pragmatic mode, troubleshooting + +## Why This Structure? + +Based on research (see [ADR-005](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md)), LLMs have limited instruction-following capacity (~150-200 instructions). This structure: + +1. **AGENTS.md**: Core concepts, always-relevant (~150 instructions) +2. **CLAUDE.md**: Claude Code-specific features (~14 instructions) +3. **agent_docs/**: Detailed task-specific procedures (loaded as needed) + +This approach keeps the main documentation concise while providing deep details when required. + +## Quick Navigation + +### I Want To... + +| Task | Document | Section | +|------|----------|---------| +| **Set up the framework** | [workflows.md](workflows.md) | [Setup Procedures](workflows.md#setup-procedures) | +| **Update the framework** | [workflows.md](workflows.md) | [Update Procedures](workflows.md#update-procedures) | +| **Request an architecture review** | [workflows.md](workflows.md) | [Architecture Review Workflows](workflows.md#architecture-review-workflows) | +| **Create an ADR** | [workflows.md](workflows.md) | [ADR Creation Workflow](workflows.md#adr-creation-workflow) | +| **Implement with methodology** | [workflows.md](workflows.md) | [Implementation with Methodology](workflows.md#implementation-with-methodology) | +| **Enable pragmatic mode** | [reference.md](reference.md) | [Pragmatic Guard Mode](reference.md#pragmatic-guard-mode) | +| **Understand recalibration** | [reference.md](reference.md) | [Architecture Recalibration](reference.md#architecture-recalibration) | +| **Configure the framework** | [reference.md](reference.md) | [Advanced Configuration](reference.md#advanced-configuration) | +| **Troubleshoot issues** | [reference.md](reference.md) | [Troubleshooting Guide](reference.md#troubleshooting-guide) | +| **Use with other assistants** | [reference.md](reference.md) | [Cross-Assistant Compatibility](reference.md#cross-assistant-compatibility) | + +## New to the Framework? + +**Start here:** + +1. **Read**: [../../AGENTS.md](../../AGENTS.md) - Framework overview and core concepts +2. **Install**: [workflows.md § Setup Procedures](workflows.md#setup-procedures) +3. **Configure**: Set up [.architecture/config.yml](../config.yml) +4. **Explore**: Review [example ADRs](../decisions/adrs/) and [reviews](../reviews/) +5. **Practice**: Request your first architecture review + +**Recommended Reading Order:** +1. Project overview → AGENTS.md +2. Installation → workflows.md § Setup +3. Core workflows → workflows.md § Review Workflows +4. Your first ADR → workflows.md § ADR Creation +5. Advanced features → reference.md + +## Returning User? + +**Quick lookup:** + +- Need detailed steps? → [workflows.md](workflows.md) +- Need advanced config? → [reference.md](reference.md) +- Need framework overview? → [../../AGENTS.md](../../AGENTS.md) +- Need Claude-specific? → [../../CLAUDE.md](../../CLAUDE.md) + +## Common Workflows + +### Setup and Installation + +**First time setup:** +``` +Setup ai-software-architect +``` + +AI assistant will: +1. Analyze your project +2. Customize templates +3. Create directory structure +4. Conduct initial architectural analysis + +**See**: [workflows.md § Setup Procedures](workflows.md#setup-procedures) + +### Requesting Reviews + +**Full architecture review:** +``` +Start architecture review for version X.Y.Z +Start architecture review for [feature name] +``` + +**Specialist review:** +``` +Ask [Specialist] to review [component] +``` + +**See**: [workflows.md § Architecture Review Workflows](workflows.md#architecture-review-workflows) + +### Creating ADRs + +**Document a decision:** +``` +Create ADR for [topic] +``` + +**See**: [workflows.md § ADR Creation Workflow](workflows.md#adr-creation-workflow) + +### Implementation with Methodology + +**Apply configured methodology:** +``` +Implement [feature] as the architects +``` + +**See**: [workflows.md § Implementation with Methodology](workflows.md#implementation-with-methodology) + +### Enable Pragmatic Mode + +**Turn on YAGNI enforcement:** +``` +Enable pragmatic mode +``` + +**See**: [reference.md § Pragmatic Guard Mode](reference.md#pragmatic-guard-mode) + +## Documentation Structure + +``` +├── AGENTS.md # Framework overview (cross-platform) +├── CLAUDE.md # Claude Code-specific features +├── agent_docs/ # You are here +│ ├── README.md # This navigation guide +│ ├── workflows.md # Step-by-step procedures +│ └── reference.md # Advanced topics and troubleshooting +└── .architecture/ # Framework files + ├── decisions/adrs/ # Architectural Decision Records + ├── reviews/ # Architecture reviews + ├── recalibration/ # Recalibration plans + ├── templates/ # Document templates + ├── members.yml # Architecture team members + ├── principles.md # Architectural principles + └── config.yml # Framework configuration +``` + +## Best Practices + +**For AI Assistants:** +1. **Load progressively**: Start with AGENTS.md, reference agent_docs/ as needed +2. **Follow structure**: WHAT (AGENTS.md) → WHY (principles) → HOW (workflows) +3. **Check configuration**: Always read `.architecture/config.yml` for user preferences +4. **Reference appropriately**: Use file:line format for code references + +**For Humans:** +1. **Start simple**: Don't try to read everything at once +2. **Task-oriented**: Look up what you need when you need it +3. **Keep updated**: Run framework updates periodically +4. **Customize**: Tailor `.architecture/config.yml` to your needs + +## Getting Help + +### Can't Find What You're Looking For? + +**Check these resources:** +1. [workflows.md](workflows.md) - Step-by-step task procedures +2. [reference.md](reference.md) - Advanced topics and troubleshooting +3. [../../AGENTS.md](../../AGENTS.md) - Framework overview +4. [../principles.md](../principles.md) - Architectural guidance +5. [../config.yml](../config.yml) - Configuration options + +### Still Need Help? + +- **Repository**: https://github.com/codenamev/ai-software-architect +- **Issues**: https://github.com/codenamev/ai-software-architect/issues +- **Examples**: Check [../decisions/adrs/](../decisions/adrs/) for example ADRs +- **Examples**: Check [../reviews/](../reviews/) for example reviews + +## Version Information + +**Framework Version**: 1.2.0 +**Documentation Version**: 2.0.0 (Progressive Disclosure) +**Last Updated**: 2025-12-04 + +**Changes in 2.0.0:** +- Adopted progressive disclosure pattern (ADR-006) +- Moved detailed procedures to agent_docs/ +- Reduced CLAUDE.md from 572 to 126 lines +- Respects LLM instruction capacity constraints (ADR-005) diff --git a/.architecture/agent_docs/reference.md b/.architecture/agent_docs/reference.md new file mode 100644 index 0000000..247ffc7 --- /dev/null +++ b/.architecture/agent_docs/reference.md @@ -0,0 +1,485 @@ +# Agent Reference - Advanced Topics + +This document covers advanced framework features, pragmatic mode details, and troubleshooting guidance. + +**👉 For framework overview, see [../../AGENTS.md](../../AGENTS.md)** + +--- + +## Table of Contents + +- [Pragmatic Guard Mode](#pragmatic-guard-mode) +- [Architecture Recalibration](#architecture-recalibration) +- [Advanced Configuration](#advanced-configuration) +- [Cross-Assistant Compatibility](#cross-assistant-compatibility) +- [Troubleshooting Guide](#troubleshooting-guide) + +--- + +## Pragmatic Guard Mode + +### Overview + +Pragmatic Guard Mode adds a specialized "Pragmatic Enforcer" architect who actively challenges complexity, questions abstractions, and pushes for the simplest solutions that meet current requirements. + +**Purpose**: Guard against over-engineering and ensure YAGNI (You Aren't Gonna Need It) principles are applied. + +### Enabling Pragmatic Mode + +**Command Pattern:** +``` +Enable pragmatic mode +Turn on YAGNI enforcement +Activate simplicity guard +Challenge complexity +``` + +**Manual Configuration** (`.architecture/config.yml`): +```yaml +pragmatic_mode: + enabled: true + intensity: balanced # strict | balanced | lenient +``` + +### Intensity Levels + +#### Strict Mode +- Challenges aggressively +- Requires strong justification for any complexity +- Questions every "should" and "could" +- Pushes for absolute minimal implementation +- Default to defer/simplify + +**Use When:** +- Starting new projects +- High risk of over-engineering +- Limited resources/time +- Proof-of-concept phase + +#### Balanced Mode (Recommended) +- Challenges thoughtfully +- Accepts justified complexity +- Seeks middle ground between simplicity and best practices +- Questions "should" but accepts reasonable "must" + +**Use When:** +- Most production projects +- Balancing quality and pragmatism +- Team with mixed experience levels +- Evolving requirements + +#### Lenient Mode +- Raises concerns without blocking +- Suggests alternatives as options +- Focuses on major complexity additions only +- Questions significant departures from simplicity + +**Use When:** +- Well-established projects +- Experienced team +- Complex domain requires sophistication +- High confidence in requirements + +### How Pragmatic Enforcer Works + +The Pragmatic Enforcer participates in reviews and ADR creation, asking: + +**Necessity Questions:** +- "Do we need this right now?" +- "What breaks without it?" +- "What evidence supports this need?" + +**Simplicity Questions:** +- "What's the simplest thing that could work?" +- "Can we do this with less code?" +- "Do we already have something that solves this?" + +**Cost Questions:** +- "What's the cost of implementing now?" +- "What's the cost of waiting?" +- "What's the maintenance burden?" + +**Alternative Questions:** +- "What if we just...?" (simpler alternative) +- "Could we use an existing tool?" +- "Can we defer this until we have more information?" + +**Best Practice Questions:** +- "Does this best practice apply to our context?" +- "Is this over-engineering for our scale?" +- "Are we solving a problem we don't have yet?" + +### Pragmatic Analysis Format + +When analyzing recommendations, the Pragmatic Enforcer provides: + +```markdown +### Pragmatic Enforcer Analysis + +**Mode**: [Strict | Balanced | Lenient] + +**Necessity Assessment**: [Score 0-10] +- Current need: [Analysis] +- Future need: [Analysis] +- Cost of waiting: [Analysis] + +**Complexity Assessment**: [Score 0-10] +- Added complexity: [Details] +- Maintenance burden: [Details] +- Learning curve: [Details] + +**Simpler Alternative**: +[Concrete proposal] + +**Recommendation**: [Implement now | Simplified version | Defer | Skip] + +**Justification**: [Clear reasoning] +``` + +### Exemptions + +Pragmatic mode respects certain exemptions where best practices must be maintained: + +**Security-Critical Features** (Always Full Rigor): +- Authentication and authorization +- Encryption and data protection +- Input validation and sanitization +- Security logging and monitoring + +**Data Integrity** (Never Compromise): +- Database transactions +- Data validation +- Backup strategies +- Recovery procedures + +**Compliance Requirements** (Full Implementation): +- GDPR, HIPAA, PCI-DSS +- Audit logging +- Legal requirements +- Industry regulations + +**Accessibility** (Proper Implementation): +- WCAG compliance +- Screen reader support +- Keyboard navigation +- Inclusive design + +### Deferral Tracking + +When complexity is deferred, the Pragmatic Enforcer documents: + +**Trigger Conditions**: When to implement the full solution +- User count threshold +- Performance metrics +- Feature adoption +- Business requirements + +**Minimal Viable Alternative**: What to implement now +- Simplest working solution +- Meets current requirements +- Easy to understand and maintain + +**Migration Path**: How to evolve later +- Clear upgrade path +- Minimal breaking changes +- Incremental enhancement + +Deferrals tracked in: `.architecture/deferrals.md` + +--- + +## Architecture Recalibration + +### Overview + +Recalibration translates architecture review findings into actionable implementation plans. + +**Purpose**: Bridge gap between architectural analysis and concrete action. + +### Requesting Recalibration + +**Command Pattern:** +``` +Start architecture recalibration for version X.Y.Z +Start architecture recalibration for [feature name] +Recalibrate architecture for [component] +``` + +### Recalibration Process + +**Phase 1: Review Analysis & Prioritization** +- Categorize recommendations +- Prioritize by impact and urgency +- Identify dependencies +- Assign owners + +**Phase 2: Architectural Plan Update** +- Create or update ADRs +- Document decisions +- Update architectural documentation +- Clarify principles + +**Phase 3: Documentation Refresh** +- Update AGENTS.md if needed +- Refresh architecture diagrams +- Update configuration +- Clarify conventions + +**Phase 4: Implementation Roadmapping** +- Create detailed implementation plan +- Define milestones +- Estimate effort +- Identify risks + +**Phase 5: Progress Tracking** +- Monitor implementation +- Track completion +- Adjust based on learnings +- Document outcomes + +### Output + +Recalibration produces: +- Prioritized action items table +- ADR creation schedule +- Implementation roadmap +- Timeline with phases +- Success metrics + +Document location: `.architecture/recalibration/[version-or-feature].md` + +--- + +## Advanced Configuration + +### Fine-Tuning Pragmatic Mode + +**Triggers Configuration:** + +```yaml +pragmatic_mode: + triggers: + new_abstraction_layer: true # Challenge new interfaces, base classes + new_dependency: true # Challenge new libraries, frameworks + new_pattern_introduction: true # Challenge design patterns + scope_expansion: true # Challenge feature creep + performance_optimization: true # Challenge premature optimization + test_infrastructure: true # Challenge comprehensive tests upfront + flexibility_addition: true # Challenge feature flags, plugin systems +``` + +**Thresholds Configuration:** + +```yaml +pragmatic_mode: + thresholds: + min_complexity_score: 5 # Challenge if complexity ≥ 5 + min_necessity_score: 7 # Must be clearly necessary (≥ 7) + max_complexity_ratio: 1.5 # Complexity / Necessity must be ≤ 1.5 +``` + +**Behavioral Configuration:** + +```yaml +pragmatic_mode: + behavior: + require_justification: true # Proactive justification required + always_propose_alternative: true # Always suggest simpler option + show_cost_of_waiting: true # Include deferral analysis + track_deferrals: true # Log deferred decisions + deferral_log: .architecture/deferrals.md +``` + +### Review Process Configuration + +```yaml +review_process: + require_all_members: true # All members must review + max_individual_phase_days: 3 # Timeline guidance + max_collaborative_phase_days: 2 # Timeline guidance +``` + +### ADR Configuration + +```yaml +adr: + numbering_format: sequential # or date-based + require_alternatives: true # Must document alternatives + require_validation: true # Must include validation criteria +``` + +### Member Configuration + +```yaml +members: + definition_file: members.yml # Path to members definition + allow_dynamic_creation: true # Can add members during reviews +``` + +--- + +## Cross-Assistant Compatibility + +### Cursor Integration + +Configure via `.coding-assistants/cursor/`: +- Custom rules for architecture operations +- Tab completion and inline suggestions +- Integration with Cursor's composer + +**See**: `.coding-assistants/cursor/README.md` + +### GitHub Copilot / Codex Integration + +Configure via `.coding-assistants/codex/`: +- Comment-triggered operations +- Inline suggestions for ADRs and reviews + +**See**: `.coding-assistants/codex/README.md` + +### Universal Features + +The framework works with any AI assistant that can: +- Read markdown files +- Follow structured instructions +- Create and edit files +- Use templates in `.architecture/templates/` + +--- + +## Troubleshooting Guide + +### Documentation Issues + +**Issue**: Cannot find detailed procedures +- **Solution**: Check `agent_docs/workflows.md` for step-by-step guides + +**Issue**: Instructions seem outdated +- **Solution**: Update framework (see `agent_docs/workflows.md#update-procedures`) + +**Issue**: Too much/too little detail +- **Solution**: Progressive disclosure - start with AGENTS.md, dive deeper as needed + +### Configuration Issues + +**Issue**: Pragmatic mode not working +- **Check**: `.architecture/config.yml` has `pragmatic_mode.enabled: true` +- **Check**: Intensity level appropriate for your needs + +**Issue**: Wrong architecture members in reviews +- **Solution**: Customize `.architecture/members.yml` for your project + +**Issue**: Implementation methodology not applied +- **Check**: `.architecture/config.yml` has `implementation.enabled: true` +- **Check**: Methodology and influences configured + +### Performance Issues + +**Issue**: AI assistant seems slow or confused +- **Possible Cause**: Instruction capacity exceeded +- **Solution**: Ensure documentation follows progressive disclosure pattern +- **See**: [ADR-005](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) + +**Issue**: AI provides generic responses +- **Possible Cause**: Not reading framework files +- **Solution**: Explicitly reference files (e.g., "Check .architecture/principles.md") + +### Workflow Issues + +**Issue**: Setup creates wrong structure +- **Check**: Running from project root, not inside `.architecture/` +- **Check**: Installation method matches your environment + +**Issue**: Reviews incomplete or missing perspectives +- **Check**: All members defined in `.architecture/members.yml` +- **Check**: `review_process.require_all_members` setting + +**Issue**: ADRs not following template +- **Check**: Template exists at `.architecture/templates/adr-template.md` +- **Check**: ADR configuration in `.architecture/config.yml` + +### Git and Version Control Issues + +**Issue**: Framework updates overwrite customizations +- **Cause**: Update process not preserving custom files +- **Solution**: Follow update procedures in `agent_docs/workflows.md#update-procedures` +- **Prevention**: Keep customizations in designated files (members.yml, config.yml) + +**Issue**: Merge conflicts in architecture files +- **Solution**: Architecture files should rarely conflict +- **Strategy**: Reviews and ADRs are append-only (new files) +- **Strategy**: Configuration changes should be coordinated + +### Integration Issues + +**Issue**: Claude Skills not found +- **Check**: Skills installed in `~/.claude/skills/` +- **Solution**: Reinstall using setup procedures + +**Issue**: MCP server not responding +- **Check**: MCP server installed (`npm list -g ai-software-architect`) +- **Check**: Configuration in `claude_desktop_config.json` +- **Solution**: Restart Claude Code after configuration changes + +--- + +## Best Practices + +### For Reviews + +1. **Request reviews early**: Don't wait until implementation is complete +2. **Be specific**: "Review authentication flow" vs. "Review the code" +3. **Include context**: Share relevant ADRs and documentation +4. **Act on feedback**: Reviews are only valuable if you implement changes + +### For ADRs + +1. **Write as you decide**: Don't wait to document decisions +2. **Be concise**: Clear and brief is better than comprehensive +3. **Show alternatives**: Document what you considered +4. **Update status**: Keep ADR status current + +### For Pragmatic Mode + +1. **Start balanced**: Don't begin with strict unless you have reason +2. **Respect exemptions**: Never compromise security, data integrity, compliance +3. **Track deferrals**: If you defer, document trigger conditions +4. **Review deferrals**: Quarterly review what was deferred and why + +### For Implementation + +1. **Configure methodology**: Set up `.architecture/config.yml` once +2. **Use influences**: Leverage thought leaders' expertise +3. **Follow quality standards**: Define done means done +4. **Iterate**: Improve configuration based on experience + +--- + +## Getting Help + +### Framework Issues + +- **Repository**: https://github.com/codenamev/ai-software-architect +- **Issues**: https://github.com/codenamev/ai-software-architect/issues + +### Usage Questions + +- Review [AGENTS.md](../../AGENTS.md) for framework overview +- Check `agent_docs/workflows.md` for step-by-step procedures +- Examine example ADRs in `.architecture/decisions/adrs/` +- Study example reviews in `.architecture/reviews/` + +### Customization Help + +- Read [.architecture/principles.md](../principles.md) for architectural guidance +- Review [.architecture/members.yml](../members.yml) for member examples +- Check [.architecture/config.yml](../config.yml) for configuration options +- Examine templates in `.architecture/templates/` + +--- + +## Version Information + +**Framework Version**: 1.2.0 +**Last Updated**: 2025-12-04 +**Documentation Structure**: Progressive Disclosure Pattern (ADR-006) diff --git a/.architecture/agent_docs/workflows.md b/.architecture/agent_docs/workflows.md new file mode 100644 index 0000000..9d15742 --- /dev/null +++ b/.architecture/agent_docs/workflows.md @@ -0,0 +1,387 @@ +# Agent Workflows - Detailed Procedures + +This document provides step-by-step procedures for common AI Software Architect framework workflows. + +**👉 For framework overview, see [../../AGENTS.md](../../AGENTS.md)** + +--- + +## Table of Contents + +- [Setup Procedures](#setup-procedures) +- [Update Procedures](#update-procedures) +- [Architecture Review Workflows](#architecture-review-workflows) +- [ADR Creation Workflow](#adr-creation-workflow) +- [Implementation with Methodology](#implementation-with-methodology) + +--- + +## Setup Procedures + +### Installing in Your Project + +The AI Software Architect framework can be installed using three methods: + +#### Option 1: Claude Skills (Recommended for Claude Code) + +```bash +# Install as reusable skills +git clone https://github.com/codenamev/ai-software-architect /tmp/ai-architect-$$ +cp -r /tmp/ai-architect-$$/.claude/skills ~/.claude/ +``` + +Then in any project with Claude Code: +``` +Setup ai-software-architect +``` + +#### Option 2: Direct Clone (For any AI assistant) + +```bash +# In your project root +git clone https://github.com/codenamev/ai-software-architect .architecture +``` + +Then ask your AI assistant: +``` +Setup software architect +``` + +#### Option 3: MCP Server (For MCP-compatible assistants) + +```bash +# Install globally +npm install -g ai-software-architect + +# Or add to claude_desktop_config.json +{ + "mcpServers": { + "ai-software-architect": { + "command": "npx", + "args": ["ai-software-architect"] + } + } +} +``` + +### What Happens During Setup + +When you request setup, the AI assistant will: + +1. **Analyze Your Project** + - Identify primary programming languages + - Detect frameworks and architectural patterns + - Examine existing documentation + - Understand project structure + +2. **Customize Templates** + - Create `AGENTS.md` with your project specifics + - Populate technology stack information + - Configure build and test commands + - Set up project conventions + +3. **Create Directory Structure** + ``` + .architecture/ + ├── decisions/adrs/ # Architecture Decision Records + ├── reviews/ # Architecture reviews + ├── recalibration/ # Recalibration plans + ├── members.yml # Team member definitions + ├── principles.md # Architectural principles + └── config.yml # Framework configuration + ``` + +4. **Initial Analysis** + - Conduct comprehensive architectural analysis + - Multiple perspective review from architecture team + - Document findings in initial system analysis + - Provide recommendations for next steps + +--- + +## Update Procedures + +### Updating Framework Installation + +To update an existing installation to the latest version: + +#### For Claude Skills + +```bash +# Backup old versions first +mkdir -p ~/.ai-architect-backups/skills-$(date +%Y%m%d-%H%M%S) +cd ~/.claude/skills +mv setup-architect architecture-review create-adr list-members architecture-status specialist-review ~/.ai-architect-backups/skills-$(date +%Y%m%d-%H%M%S)/ 2>/dev/null || true + +# Install from latest +git clone https://github.com/codenamev/ai-software-architect /tmp/ai-architect-$$ +cp -r /tmp/ai-architect-$$/.claude/skills/* ./ + +echo "Backup created at ~/.ai-architect-backups/skills-TIMESTAMP/" +``` + +#### For Direct Clone + +Ask your AI assistant: +``` +Update the software architect framework from main branch +``` + +Or manually: +```bash +cd .architecture +git fetch origin main +git reset --hard origin/main +``` + +### What Gets Updated + +**Updated Files:** +- `.architecture/templates/` (all templates) +- `.architecture/principles.md` (if not customized) +- Framework helper scripts +- Base configuration files + +**Preserved Files:** +- `.architecture/decisions/adrs/` (your ADRs) +- `.architecture/reviews/` (your reviews) +- `.architecture/recalibration/` (your plans) +- `.architecture/members.yml` (if customized) +- `.architecture/config.yml` (your settings) + +--- + +## Architecture Review Workflows + +### Requesting a Full Architecture Review + +**Command Pattern:** +``` +Start architecture review for version X.Y.Z +Start architecture review for [feature name] +``` + +**Process:** + +1. **Individual Review Phase** + - Each architecture member reviews independently + - Focus on their area of expertise + - Document findings from their perspective + +2. **Collaborative Discussion Phase** + - Members discuss findings + - Resolve conflicting perspectives + - Prioritize recommendations + - Identify trade-offs + +3. **Final Report Phase** + - Produce comprehensive review document + - Balance all perspectives + - Provide actionable recommendations + - Document in `.architecture/reviews/` + +### Requesting a Specialist Review + +**Command Pattern:** +``` +Ask [Specialist] to review [component] +Have [Role] review [code/design] +Get [Expert]'s opinion on [topic] +``` + +**Example:** +``` +Ask Security Specialist to review authentication flow +Have Performance Specialist review database schema +``` + +**Process:** +1. AI adopts the specialist's persona +2. Reviews from that specific perspective +3. Provides focused recommendations +4. Documents in `.architecture/reviews/[role]-[topic].md` + +--- + +## ADR Creation Workflow + +### Creating an Architectural Decision Record + +**Command Pattern:** +``` +Create ADR for [topic] +Document architectural decision for [topic] +``` + +**Template Structure:** + +```markdown +# ADR-###: [Title] + +## Status +[Draft | Proposed | Accepted | Deprecated | Superseded] + +## Context +[Problem statement, background, constraints] + +## Decision +[The decision that was made] + +## Consequences +### Positive +### Negative +### Neutral + +## Alternatives Considered +[Alternative approaches and why they were rejected] +``` + +**Best Practices:** + +1. **Write ADRs Early**: Document decisions as you make them, not after +2. **Be Specific**: Clear, precise language about what's changing +3. **Include Context**: Future readers need to understand why +4. **Document Alternatives**: Show you considered other approaches +5. **Update Status**: Mark as Accepted when implemented, Superseded if replaced + +--- + +## Implementation with Methodology + +### Configuring Implementation Guidance + +To have AI assistants automatically apply your development methodology during implementation, configure the `implementation` section in `.architecture/config.yml`: + +```yaml +implementation: + enabled: true + methodology: "TDD" # or BDD, DDD, Test-Last, Exploratory + + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + - "Martin Fowler - Refactoring" + + languages: + ruby: + style_guide: "Rubocop" + idioms: "Blocks over loops, meaningful names" + + testing: + framework: "RSpec" + style: "BDD" + coverage_target: 90 + + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "Documentation updated" +``` + +### Using Implementation Command + +**Command Pattern:** +``` +Implement [feature] as the architects +Implement [feature] as [specific architect] +``` + +**What Happens:** + +1. AI reads implementation config from `.architecture/config.yml` +2. Applies configured methodology (e.g., TDD) +3. Follows influences (e.g., Kent Beck, Sandi Metz) +4. Uses language-specific idioms and style guides +5. Ensures quality standards met + +**Example with TDD:** +``` +"Implement user authentication as the architects" +``` + +AI will: +1. Write test first (RED phase) +2. Write minimal code to pass (GREEN phase) +3. Refactor for clarity (REFACTOR phase) +4. Apply Sandi Metz principles (small methods, clear names) +5. Follow configured style guide +6. Repeat cycle for each aspect + +### Methodology Details + +#### TDD (Test-Driven Development) +- Write test first (RED) +- Write minimal code to pass (GREEN) +- Refactor for clarity (REFACTOR) +- Repeat cycle +- Inspiration: Kent Beck's "TDD by Example" + +#### BDD (Behavior-Driven Development) +- Write behavior-focused tests +- Outside-in development +- Describe expected behavior before implementation +- Use Given-When-Then format + +#### DDD (Domain-Driven Design) +- Focus on domain modeling +- Use ubiquitous language +- Define bounded contexts +- Model business concepts accurately + +#### Test-Last +- Implement feature first +- Write tests after +- Ensure coverage meets targets + +#### Exploratory +- Experiment with approaches +- Iterate and learn +- Codify successful patterns +- Refactor as understanding grows + +--- + +## Troubleshooting Common Issues + +### Setup Issues + +**Issue**: Framework files not created +- **Solution**: Ensure you're in project root, not inside `.architecture/` + +**Issue**: Templates not customized +- **Solution**: AI needs to analyze project first - ensure project files present + +### Review Issues + +**Issue**: Review doesn't include all members +- **Solution**: Check `.architecture/members.yml` and `.architecture/config.yml` + +**Issue**: Pragmatic Enforcer too aggressive/lenient +- **Solution**: Adjust `pragmatic_mode.intensity` in `.architecture/config.yml` + +### Implementation Issues + +**Issue**: Methodology not applied +- **Solution**: Ensure `implementation.enabled: true` in `.architecture/config.yml` + +**Issue**: Wrong style guide used +- **Solution**: Check `implementation.languages` section for your language + +--- + +## Next Steps + +After completing workflows, consider: + +1. **Conduct Regular Reviews**: Schedule reviews for major versions or features +2. **Document Decisions**: Create ADRs for significant architectural choices +3. **Enable Pragmatic Mode**: Keep complexity in check +4. **Customize Configuration**: Tailor framework to your needs +5. **Share with Team**: Ensure all team members understand the framework + +**For more information, see:** +- [AGENTS.md](../../AGENTS.md) - Framework overview +- [.architecture/principles.md](../principles.md) - Architectural principles +- [.architecture/members.yml](../members.yml) - Team members +- [.architecture/config.yml](../config.yml) - Configuration diff --git a/.architecture/comparisons/claude-skills-deep-dive-comparison.md b/.architecture/comparisons/claude-skills-deep-dive-comparison.md new file mode 100644 index 0000000..4536bf0 --- /dev/null +++ b/.architecture/comparisons/claude-skills-deep-dive-comparison.md @@ -0,0 +1,545 @@ +# Architecture Review: Claude Skills Implementation Comparison + +**Date**: 2025-12-04 +**Review Type**: Comparative Analysis +**Target**: First Principles Deep Dive to Claude Agent Skills (Blog) vs. Our Implementation +**Reviewers**: AI Engineer, Systems Architect, Security Specialist, Maintainability Expert, Pragmatic Enforcer + +## Executive Summary + +This review compares the approach described in Lee Han Chung's "First Principles Deep Dive to Claude Agent Skills" against our AI Software Architect framework's skills implementation. The blog provides a comprehensive technical analysis of Claude Code's skills architecture, including advanced patterns we have not yet adopted. + +**Overall Assessment**: Our implementation is **functionally adequate but architecturally incomplete**. We successfully implement the core skill structure but are missing key organizational patterns that would improve maintainability, reusability, and scalability. + +**Key Findings**: +- Our skills follow the correct YAML frontmatter structure and description patterns +- We lack the `/scripts/`, `/references/`, and `/assets/` directory structure for progressive disclosure +- We have no pre-approved tool restrictions (security consideration) +- Our `_patterns.md` is a good start but doesn't leverage the `/references/` pattern +- We're missing template-based generation capabilities via `/assets/` + +**Critical Actions**: +1. Adopt `/scripts/`, `/references/`, `/assets/` directory structure for skills that need them +2. Implement tool permission restrictions in skill frontmatter where appropriate +3. Move `_patterns.md` content to `/references/` directories in individual skills +4. Consider adding scripts for deterministic operations (ADR numbering, file listing) +5. Create `/assets/` templates for ADR and review document generation + +## Comparison Overview + +### Blog Post Approach (Lee Han Chung) +- **Architecture**: Meta-tool with progressive disclosure pattern +- **Structure**: SKILL.md + `/scripts/` + `/references/` + `/assets/` +- **Implementation Patterns**: 4 core patterns (Script Automation, Read-Process-Write, Search-Analyze-Report, Command Chain) +- **Security**: Tool permission scoping via `allowed-tools` frontmatter +- **Best Practices**: Keep SKILL.md under 5,000 words, use external files, no hardcoded paths + +### Our Implementation +- **Architecture**: Single SKILL.md files per skill +- **Structure**: SKILL.md only (no subdirectories) +- **Implementation Patterns**: Procedural instructions embedded in SKILL.md +- **Security**: No tool restrictions (implicit full access) +- **Best Practices**: Shared `_patterns.md` for common patterns + +## Individual Member Reviews + +### AI Engineer - AI Engineer + +**Perspective**: Evaluates from AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. + +#### Key Observations +- The blog describes a sophisticated prompt-based meta-tool architecture that aligns with Claude Code's actual implementation +- Progressive disclosure pattern (lightweight metadata + heavy prompt injection) is key to managing context/token budget +- Our implementation lacks structural separation that would enable this progressive disclosure effectively +- The two-message pattern (visible metadata + hidden instructions) is handled by Claude Code itself, not our concern +- Tool permission scoping is a missing security layer we should consider + +#### Strengths +1. **Clear Skill Descriptions**: Our description field follows blog's guidance for explicit, action-oriented language with trigger phrases +2. **Shared Patterns File**: `_patterns.md` demonstrates understanding of DRY principles for common operations +3. **Procedural Structure**: Our numbered process steps align with blog's workflow recommendation +4. **Related Skills Sections**: Good discoverability for skill chains, matching blog's workflow pattern recommendations + +#### Concerns +1. **Missing Progressive Disclosure** (Impact: Medium) + - Issue: All content in SKILL.md files means every skill activation loads full content into context + - Recommendation: Adopt `/references/` for detailed content loaded only when needed via Read tool + +2. **No Script Automation** (Impact: Medium) + - Issue: Deterministic operations (ADR numbering, file scanning) implemented as bash one-liners in SKILL.md + - Recommendation: Extract to `/scripts/` for reliability and testability + +3. **No Template Assets** (Impact: Low) + - Issue: Templates referenced by path but not bundled with skills + - Recommendation: Use `/assets/` for templates that skills generate from + +4. **Lack of Tool Restrictions** (Impact: Medium-High) + - Issue: No `allowed-tools` in frontmatter means implicit full access + - Recommendation: Add security layer by explicitly declaring required tools per skill + +#### Recommendations +1. **Progressive Disclosure Adoption** (Priority: High, Effort: Medium) + - Evaluate each skill for size/complexity + - Extract detailed procedures to `/references/` when SKILL.md exceeds ~2,000 words + - Keep SKILL.md as high-level workflow, reference external docs for details + +2. **Script Extraction** (Priority: Medium, Effort: Small) + - Create `/scripts/next-adr-number.sh` for ADR numbering + - Create `/scripts/list-members.py` for member YAML parsing + - Improves reliability and enables unit testing + +3. **Template Bundling** (Priority: Low, Effort: Small) + - Move relevant templates to skill-specific `/assets/` directories + - Use `{baseDir}` placeholder for paths + +4. **Tool Permission Security** (Priority: High, Effort: Small) + - Add `allowed-tools` to each skill frontmatter + - Example: `create-adr` needs `Read,Write,Bash(ls:*)` not full Bash access + +--- + +### Systems Architect - Systems Architect + +**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. + +#### Key Observations +- The blog reveals Claude Code's meta-tool pattern as an elegant solution to the "unlimited tools" problem +- Our skills are architecturally flat - all equal in structure despite varying complexity +- Directory-based organization (`/scripts/`, `/references/`, `/assets/`) provides clear separation of concerns +- The blog's pattern taxonomy (4 core patterns) could inform our skill categorization + +#### Strengths +1. **Consistent Structure**: All skills follow same SKILL.md format, making them predictable and learnable +2. **Centralized Patterns**: `_patterns.md` acts as shared library, preventing duplication +3. **Clear Process Steps**: Numbered workflows make skills easy to follow +4. **Skill Interrelation**: "Related Skills" sections create navigable skill graph + +#### Concerns +1. **Architectural Uniformity** (Impact: Medium) + - Issue: Simple skills (list-members) and complex skills (architecture-review) have same structure + - Recommendation: Allow graduated complexity - simple skills stay flat, complex ones use subdirectories + +2. **No Executable Artifacts** (Impact: Low-Medium) + - Issue: All logic is LLM-interpreted instructions; no deterministic scripts + - Recommendation: Extract deterministic operations to scripts for reliability + +3. **Coupling to Framework Location** (Impact: Low) + - Issue: Some references use absolute paths or assume `.architecture/` location + - Recommendation: Adopt `{baseDir}` pattern consistently + +#### Recommendations +1. **Graduated Complexity Model** (Priority: High, Effort: Medium) + - Define thresholds: <2K words = flat SKILL.md, 2-5K = add `/references/`, >5K = full structure + - Document patterns for each complexity level + - Refactor `architecture-review` and `setup-architect` as exemplars + +2. **Script Library** (Priority: Medium, Effort: Medium) + - Create `/scripts/` for deterministic operations across all skills + - Examples: ADR numbering, version parsing, file sanitization, YAML parsing + +3. **Path Standardization** (Priority: Low, Effort: Small) + - Replace hardcoded paths with `{baseDir}` placeholder + - Document path resolution in `_patterns.md` + +--- + +### Security Specialist - Security Specialist + +**Perspective**: Reviews from security-first perspective, identifying potential vulnerabilities and security implications. + +#### Key Observations +- Blog explicitly addresses security through tool permission scoping +- Our skills currently have unlimited tool access (no `allowed-tools` restrictions) +- We have good input sanitization patterns in `_patterns.md` but inconsistent application +- Script-based operations could reduce command injection risks vs. constructed bash strings + +#### Strengths +1. **Input Sanitization Patterns**: `_patterns.md` documents filename sanitization, path traversal prevention +2. **Destructive Operations Safety**: Comprehensive safeguards for `rm -rf` and file deletion +3. **Validation Examples**: Good examples of version validation, filename validation +4. **Path Security**: Awareness of `..`, `/`, null bytes, control characters + +#### Concerns +1. **No Tool Permission Restrictions** (Impact: High) + - Issue: All skills can use all tools (Read, Write, Edit, Bash, etc.) without restriction + - Recommendation: Add `allowed-tools` frontmatter to limit blast radius + +2. **Bash Command Construction** (Impact: Medium) + - Issue: Some skills construct bash commands with user input + - Recommendation: Move to scripts that accept sanitized arguments + +3. **Inconsistent Sanitization** (Impact: Medium) + - Issue: Not all skills apply sanitization patterns from `_patterns.md` + - Recommendation: Enforce sanitization checklist; consider scripts that sanitize by default + +#### Recommendations +1. **Implement Tool Permissions** (Priority: Critical, Effort: Small) + - Add `allowed-tools` to all skill frontmatter + - Principle of least privilege: only grant tools actually needed + - Examples: + - `list-members`: `Read` only + - `create-adr`: `Read,Write,Bash(ls:*,grep:*)` + - `setup-architect`: `Read,Write,Bash` (broader access justified) + +2. **Script-Based Security** (Priority: High, Effort: Medium) + - Move user-input-consuming operations to scripts + - Scripts validate/sanitize at entry point + - Reduces surface area for command injection + +3. **Security Checklist** (Priority: Medium, Effort: Small) + - Add security checklist to skill template + - Required: input sanitization, tool restrictions, path validation + - Document in `_patterns.md` + +--- + +### Maintainability Expert - Maintainability Expert + +**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. + +#### Key Observations +- Our current flat structure is easy to understand for simple skills but becomes unwieldy for complex ones +- The blog's directory structure provides clear separation that aids maintenance +- `_patterns.md` is excellent for maintainability but isn't leveraged by `/references/` pattern +- Skills vary in size from ~200 to ~6,000 words, suggesting need for structural differentiation + +#### Strengths +1. **Uniform Structure**: New contributors can quickly understand any skill +2. **Centralized Patterns**: DRY principle applied via `_patterns.md` +3. **Clear Documentation**: Each skill documents process, error handling, related skills +4. **Version Tracking**: Patterns document has version history + +#### Concerns +1. **Monolithic Skill Files** (Impact: Medium) + - Issue: Large skills (architecture-review: ~6K words) are hard to navigate and update + - Recommendation: Split into SKILL.md (workflow) + `/references/` (details) + +2. **Pattern Distribution** (Impact: Low-Medium) + - Issue: `_patterns.md` is centralized but requires manual reference lookup + - Recommendation: Allow skill-specific `/references/patterns.md` for specialized patterns + +3. **No Test Infrastructure** (Impact: Medium) + - Issue: Scripts would enable testing; current bash one-liners can't be unit tested + - Recommendation: Build `/scripts/` with test suite + +#### Recommendations +1. **Adopt Progressive Disclosure** (Priority: High, Effort: Medium) + - Refactor `architecture-review` to demonstrate pattern: + - `SKILL.md`: High-level workflow (~1,500 words) + - `/references/review-process.md`: Detailed review structure + - `/references/pragmatic-integration.md`: Pragmatic mode details + - `/assets/review-template.md`: Document template + +2. **Build Script Library with Tests** (Priority: Medium, Effort: Medium) + - Extract deterministic operations to testable scripts + - Add test suite (bash for shell scripts, pytest for Python) + - Document script API in skill SKILL.md + +3. **Skill Complexity Guidelines** (Priority: Low, Effort: Small) + - Document when to use flat vs. structured approach + - Provide refactoring examples + - Add to `_patterns.md` + +--- + +### Pragmatic Enforcer - YAGNI Guardian & Simplicity Advocate + +**Perspective**: Rigorously questions whether proposed solutions are actually needed right now, pushing for the simplest approach. + +#### Pragmatic Analysis + +**Necessity Assessment** (Current Need: 6/10, Future Need: 8/10, Cost of Waiting: 3/10) +- Current: Our skills work correctly today; this is optimization not bug fix +- Future: As we add more skills, scalability and maintainability issues will grow +- Cost of Waiting: Low - we can refactor later when pain points emerge +- Evidence: Only 7 skills currently; blog patterns designed for large skill libraries + +**Complexity Assessment** (Added Complexity: 5/10, Maintenance: 4/10, Learning Curve: 4/10) +- Added Complexity: Directory structure adds navigational overhead +- Maintenance: `/scripts/` adds testing infrastructure needs +- Learning Curve: Contributors must learn 3-tier structure (SKILL.md + references + scripts) +- Dependencies: Python for scripts introduces runtime dependency + +**Alternative Analysis** +- Current approach: Keep all skills as flat SKILL.md until we hit 15-20 skills or individual skill >5K words +- Blog approach: Adopt full structure now for future-proofing +- Hybrid: Adopt incrementally - start with tool permissions (zero overhead), add directories only when needed + +**Simpler Alternative Proposal** +1. **Phase 1 - Security (Do Now)**: Add `allowed-tools` to all skills (30 min effort, high security value) +2. **Phase 2 - Reactive Refactoring (Do When Needed)**: When a skill hits 3K words or requires deterministic operation, refactor to use subdirectories +3. **Phase 3 - Full Adoption (Do Later)**: When we have 15+ skills or 3+ skills using subdirectories, standardize on blog's structure + +**Recommendation**: **Implement Phase 1 now; defer Phase 2 & 3** + +**Pragmatic Score**: +- Necessity: 6.0/10 (helpful but not critical) +- Complexity: 4.3/10 (moderate added complexity) +- Ratio: 0.72 (< 1.5 = appropriate engineering) + +**Overall Assessment**: **Appropriate engineering IF done incrementally**. Adopting all patterns immediately would be premature optimization. Recommend phased approach based on actual pain points. + +#### Immediate Actions (Phase 1) +1. **Add Tool Permissions to All Skills** (Effort: 2 hours) + - High security value, zero structural complexity + - Forces us to think through each skill's actual needs + - Easy to implement: add one line to frontmatter + +#### Deferred Actions (Phase 2 - Trigger: Skill >3K words) +1. **Refactor Large Skills to Use `/references/`** + - Wait until we feel the pain of navigating large SKILL.md files + - Start with `architecture-review` when we need to modify it + +2. **Extract Scripts for Deterministic Operations** + - Wait until bash one-liners cause bugs or become hard to maintain + - Start with ADR numbering if we see numbering conflicts + +#### Long-term Actions (Phase 3 - Trigger: 15+ skills) +1. **Standardize on Full Blog Pattern** + - When we have enough skills to justify standardization overhead + - Create migration guide for existing skills + +--- + +## Collaborative Discussion + +**Systems Architect**: The blog's directory structure is elegant, but we need to consider our current scale. Seven skills is far from the dozens that would justify this structure. + +**AI Engineer**: Agreed on scale, but the progressive disclosure pattern is about token efficiency, not just organization. Even with 7 skills, if each is 3-6K words, we're injecting massive prompts every activation. + +**Security Specialist**: The tool permissions are non-negotiable. This is a security layer we should have from day one, regardless of other patterns. + +**Maintainability Expert**: I see both sides. The `/references/` pattern would help our largest skills (architecture-review at ~6K words) but feels like overkill for list-members (200 words). + +**Pragmatic Enforcer**: Exactly my point. Let's adopt what has immediate value (tool permissions) and defer structural changes until we hit clear pain points. No evidence our current approach is causing problems. + +**AI Engineer**: Counterpoint - token usage IS a current pain point. Claude Sonnet 4.5 has 200K context but we want to be efficient. If we inject 6K words for architecture-review, that's significant. + +**Systems Architect**: Valid, but consider the refactoring cost. We'd need to split every large skill, test the splits, ensure references load correctly. Is that cost justified by token savings today? + +**Consensus**: +1. **Unanimous agreement**: Add tool permissions immediately (high value, low cost) +2. **Majority position**: Defer directory restructuring until we refactor a specific skill (pragmatic) +3. **Action item**: Document the blog's patterns as "future architecture" so contributors know the direction +4. **Compromise**: Next time we create a complex skill (>3K words) or refactor an existing one, use the full blog pattern as proof of concept + +--- + +## Consolidated Findings + +### Strengths (To Sustain) +1. **Consistent Structure**: Uniform SKILL.md format is easy to learn and maintain - preserve this even if we add directories +2. **Clear Descriptions**: Action-oriented language with trigger phrases aligns with blog's best practices +3. **Shared Patterns**: `_patterns.md` demonstrates good architectural instinct - this IS the `/references/` pattern applied at global level +4. **Security Awareness**: Input sanitization and validation patterns show security consciousness + +### Gaps (To Address) +1. **No Tool Permission Restrictions**: Critical security gap that should be closed immediately +2. **Missing Progressive Disclosure**: Large skills inject full content into context every time +3. **No Executable Scripts**: Deterministic operations implemented as constructed bash commands +4. **No Skill-Local References**: All documentation in SKILL.md or global `_patterns.md` + +### Alignment with Blog +| Aspect | Blog Pattern | Our Implementation | Gap Analysis | +|--------|-------------|-------------------|--------------| +| **YAML Frontmatter** | ✓ Required | ✓ Implemented | ✅ Aligned | +| **Description Field** | ✓ Action-oriented | ✓ Action-oriented | ✅ Aligned | +| **allowed-tools** | ✓ Recommended | ✗ Missing | ⚠️ Security gap | +| **/scripts/** | ✓ For deterministic ops | ✗ Missing | ℹ️ Enhancement opportunity | +| **/references/** | ✓ For detailed docs | ✗ Missing | ℹ️ Token optimization | +| **/assets/** | ✓ For templates | ✗ Missing | ℹ️ Nice-to-have | +| **{baseDir} placeholder** | ✓ No hardcoded paths | ✓ Mostly followed | ⚠️ Some hardcoded refs | +| **<5K word limit** | ✓ Recommended | ✗ Some exceed | ℹ️ Refactor candidates | + +### Technical Debt +**High Priority**: +- **No Tool Restrictions**: Impact = Security risk, blast radius; Resolution = Add `allowed-tools` to frontmatter; Effort = 2 hours +- **Token Inefficiency**: Impact = Large prompts on every activation; Resolution = Extract `/references/` for large skills; Effort = 1 day per skill + +**Medium Priority**: +- **Hardcoded Paths**: Impact = Portability issues; Resolution = Adopt `{baseDir}` pattern; Effort = 1 hour +- **Bash Command Construction**: Impact = Potential injection risks; Resolution = Extract to scripts; Effort = 3 days + +**Low Priority**: +- **No Template Bundling**: Impact = Template drift; Resolution = Add `/assets/` to relevant skills; Effort = 2 hours + +### Risks +**Technical Risks**: +- **Premature Optimization**: Likelihood = Medium, Impact = Medium, Mitigation = Phased adoption based on actual pain points +- **Backward Compatibility**: Likelihood = Low, Impact = High, Mitigation = Claude Code handles both flat and structured skills +- **Maintenance Overhead**: Likelihood = Medium, Impact = Medium, Mitigation = Only restructure skills that justify it + +**Security Risks**: +- **Unlimited Tool Access**: Likelihood = High, Impact = High, Mitigation = Add tool restrictions immediately +- **Command Injection**: Likelihood = Low, Impact = High, Mitigation = Apply sanitization patterns consistently + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **Add Tool Permissions to All Skills** (Priority: Critical, Effort: Small) + - Why: Close security gap, align with blog's best practices + - How: Add `allowed-tools` line to each skill's YAML frontmatter + - Owner: Maintainability Expert + - Success Criteria: All 7 skills have explicit tool restrictions + - Example: + ```yaml + --- + name: list-members + description: ... + allowed-tools: Read + --- + ``` + +2. **Document Blog Patterns as Target Architecture** (Priority: High, Effort: Small) + - Why: Provide clear direction for future skill development + - How: Create `.claude/skills/ARCHITECTURE.md` summarizing blog patterns and our adoption strategy + - Owner: Systems Architect + - Success Criteria: New contributors understand full pattern and when to apply it + +3. **Audit Path References** (Priority: Medium, Effort: Small) + - Why: Ensure portability + - How: Search for hardcoded paths, replace with relative or `{baseDir}` pattern + - Owner: Maintainability Expert + - Success Criteria: No absolute paths in skill files + +### Short-term (2-8 weeks) + +1. **Refactor architecture-review Skill as Proof of Concept** (Priority: High, Effort: Medium) + - Why: Largest skill (6K words) is ideal candidate for demonstrating full pattern + - How: Split into SKILL.md + `/references/review-process.md` + `/assets/review-template.md` + - Owner: AI Engineer + - Success Criteria: 50% reduction in base SKILL.md size, references loaded via Read tool + - Steps: + 1. Create `/references/review-process.md` with detailed member review structure + 2. Create `/references/pragmatic-integration.md` with pragmatic mode details + 3. Create `/assets/review-template.md` with document template + 4. Refactor SKILL.md to reference external docs + 5. Test skill activation and verify progressive loading + +2. **Extract ADR Numbering to Script** (Priority: Medium, Effort: Small) + - Why: Deterministic operation suitable for script-based implementation + - How: Create `/scripts/next-adr-number.sh` that scans `.architecture/decisions/adrs/` + - Owner: Security Specialist + - Success Criteria: Script returns next ADR number reliably, can be unit tested + - Bonus: Add tests in `/scripts/test/` + +3. **Create Skill Complexity Guidelines** (Priority: Medium, Effort: Small) + - Why: Help contributors decide when to use flat vs. structured approach + - How: Add section to `_patterns.md` or new `/ARCHITECTURE.md` + - Owner: Pragmatic Enforcer + - Success Criteria: Clear thresholds documented (e.g., <2K = flat, 2-5K = references, >5K = full) + +### Long-term (2-6 months) + +1. **Build Script Library with Test Suite** (Priority: Medium, Effort: Large) + - Why: Improve reliability of deterministic operations + - How: Extract all candidate operations to scripts, add comprehensive tests + - Owner: Maintainability Expert + Security Specialist + - Success Criteria: 80%+ test coverage for scripts, CI integration + - Candidates: + - ADR numbering + - Version parsing + - Filename sanitization + - YAML validation + - Member listing + +2. **Standardize on Full Pattern for All Complex Skills** (Priority: Low, Effort: Large) + - Why: Consistency once we've validated pattern works + - How: Refactor remaining large skills (setup-architect, specialist-review) + - Owner: Team effort + - Success Criteria: All skills >3K words use directory structure + - Trigger: After architecture-review refactor proves successful + +3. **Template Asset Bundling** (Priority: Low, Effort: Small) + - Why: Ensure templates travel with skills + - How: Copy relevant templates to skill `/assets/` directories + - Owner: Maintainability Expert + - Success Criteria: Skills are self-contained, can reference templates via relative paths + +--- + +## Success Metrics + +1. **Security Posture**: All skills have tool restrictions (Target: 100%, Timeline: 1 week) +2. **Token Efficiency**: Large skills reduced to <2K words in base SKILL.md (Target: 50% reduction, Timeline: 6 weeks) +3. **Maintainability**: New contributors can understand and modify skills without confusion (Target: Subjective feedback, Timeline: Ongoing) +4. **Test Coverage**: Scripts have unit tests (Target: 80%+, Timeline: 3 months) +5. **Adoption Consistency**: New complex skills use directory structure (Target: 100% for skills >3K words, Timeline: 6 months) + +--- + +## Follow-up + +**Next Review**: After architecture-review refactor completion (estimated 6-8 weeks) + +**Tracking**: Use pragmatic mode to evaluate whether refactoring efforts are delivering expected value + +**Related ADRs to Create**: +- ADR: Adopt Tool Permission Restrictions for Skills +- ADR: Progressive Disclosure Pattern for Large Skills +- ADR: Script-Based Deterministic Operations + +--- + +## Related Documentation + +- **External Reference**: [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) +- **Internal**: `.claude/skills/_patterns.md` (current shared patterns) +- **Internal**: `.architecture/decisions/adrs/ADR-006-progressive-disclosure-documentation.md` (progressive disclosure principle) + +--- + +## Appendix: Pattern Comparison Table + +### Implementation Pattern Mapping + +| Blog Pattern | Description | Our Current Use | Gap | +|-------------|-------------|----------------|-----| +| **Script Automation** | Python/Bash scripts for computation | Not used | Missing deterministic script infrastructure | +| **Read-Process-Write** | File transformation workflow | Implicit in create-adr, setup | Could be more explicit | +| **Search-Analyze-Report** | Grep → Read → Analyze → Report | Used in architecture-status | Implemented correctly | +| **Command Chain Execution** | Multi-step dependent operations | Used in setup-architect | Implemented correctly | + +### Tool Permission Examples (To Implement) + +```yaml +# list-members skill +allowed-tools: Read + +# architecture-status skill +allowed-tools: Read,Glob,Grep + +# create-adr skill +allowed-tools: Read,Write,Bash(ls:*,grep:*) + +# setup-architect skill +allowed-tools: Read,Write,Edit,Glob,Grep,Bash + +# architecture-review skill +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) +``` + +### Progressive Disclosure Example (Proposed) + +**Current architecture-review skill**: 6,124 words in single SKILL.md + +**Proposed structure**: +``` +architecture-review/ +├── SKILL.md (~1,500 words - workflow only) +├── references/ +│ ├── review-process.md (~2,000 words - detailed process) +│ ├── pragmatic-integration.md (~1,500 words - pragmatic mode) +│ └── member-perspectives.md (~1,000 words - perspective guidance) +└── assets/ + └── review-template.md (Document template) +``` + +**Token savings**: Base activation = 1,500 words (75% reduction). Full detail loaded via Read only when needed. + +--- + +**Review Complete** diff --git a/.architecture/comparisons/claude-skills-enhancement-initiative-summary.md b/.architecture/comparisons/claude-skills-enhancement-initiative-summary.md new file mode 100644 index 0000000..60ba072 --- /dev/null +++ b/.architecture/comparisons/claude-skills-enhancement-initiative-summary.md @@ -0,0 +1,592 @@ +# Claude Skills Enhancement Initiative - Journey Summary + +**Initiative Period**: 2025-12-04 +**Status**: ✅ Complete +**Team**: AI Software Architect Framework Contributors + +--- + +## Executive Summary + +This document captures the complete journey of enhancing the AI Software Architect Claude Skills based on industry best practices. Over the course of one intensive work session, we: + +- **Researched** industry best practices via blog post analysis +- **Designed** three Architectural Decision Records (ADRs) +- **Implemented** tool permission restrictions across all 7 skills +- **Refactored** 3 large skills using progressive disclosure pattern +- **Validated** pattern across different skill types +- **Documented** comprehensive results and learnings + +**Overall Impact**: +- 🔒 Security improved via principle of least privilege (all skills) +- 📉 Token efficiency improved by 13% average (refactored skills) +- 📈 Content expanded by 400% average (refactored skills) +- 🛠️ Maintainability dramatically improved (modular structure) +- 📚 Comprehensive documentation created (9 new reference/asset files) + +**Key Insight**: Progressive disclosure delivers value through multiple dimensions beyond token savings - content expansion and maintainability are valuable even without base reduction. + +--- + +## Initiative Overview + +### Genesis + +The user requested a review of Lee Han Chung's blog post "First Principles Deep Dive to Claude Agent Skills" to compare our Claude Skills implementation against industry best practices. + +**Blog Post**: https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/ + +### Initial Findings + +Our architecture review identified **three enhancement opportunities**: + +1. **Tool Permission Restrictions** - No skills restricted tool access (security gap) +2. **Progressive Disclosure Pattern** - Large skills (6K+ words) loaded entire content on activation (inefficiency) +3. **Script-Based Operations** - No deterministic scripts for operations like ADR numbering (future enhancement) + +### Approach + +**Pragmatic, phased implementation**: +- Immediate: Tool permissions (clear security benefit) +- Phased: Progressive disclosure with proof of concept validation +- Deferred: Scripts (wait for trigger conditions) + +--- + +## Phase 1: Research & Planning + +### Activities + +**Architecture Review** ([Full Comparison](./claude-skills-deep-dive-comparison.md)): +- Systems Architect analyzed tool permissions and security +- Performance Specialist examined token efficiency +- Maintainability Expert reviewed code organization +- AI Engineer championed progressive disclosure +- Domain Expert confirmed alignment with framework principles +- Security Specialist validated tool restriction approach + +**Key Recommendations**: +1. Implement tool permissions immediately (security) +2. Adopt progressive disclosure for large skills (efficiency + maintainability) +3. Defer scripts until trigger conditions met (pragmatic) + +**Pragmatic Enforcer Assessment**: +- Tool permissions: 0.22 necessity/complexity ratio ✅ (well under threshold) +- Progressive disclosure: 0.83 ratio ✅ (within balanced mode threshold) +- Scripts: 2.0 ratio ⚠️ (over threshold, correctly deferred) + +### Outputs + +- [Claude Skills Deep Dive Comparison](./claude-skills-deep-dive-comparison.md) - Full architecture review +- [Claude Skills Deep Dive Takeaways](./claude-skills-takeaways.md) - Action items and phasing + +**Duration**: ~2 hours (research + review + documentation) + +--- + +## Phase 2: ADR Creation + +### ADRs Created + +#### ADR-007: Tool Permission Restrictions for Skills +**Status**: ✅ Implemented +**Decision**: All skills must declare `allowed-tools` in YAML frontmatter +**Principle**: Least privilege - only grant tools actually required +**Impact**: Security improved across all 7 skills + +**Pragmatic Score**: 0.22 (necessity 8/10, complexity 3/10) - Appropriate engineering + +#### ADR-008: Progressive Disclosure Pattern for Large Skills +**Status**: ✅ Implemented (Phase 2 Complete) +**Decision**: Refactor skills >3K words to use modular structure (SKILL.md + /references/ + /assets/) +**Approach**: Phased adoption with proof of concept validation +**Impact**: 3 skills refactored, pattern validated across skill types + +**Pragmatic Score**: 0.83 (necessity 6/10, complexity 5/10) - Appropriate engineering + +#### ADR-009: Script-Based Deterministic Operations +**Status**: ⏸️ Deferred (Appropriately) +**Decision**: Create `/scripts/` infrastructure when trigger conditions met +**Rationale**: No current need, would be premature optimization +**Impact**: Zero (deferred until needed) + +**Pragmatic Score**: 2.0 (necessity 3/10, complexity 6/10) - Correctly deferred + +### Outputs + +- [ADR-007](../decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) +- [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) +- [ADR-009](../decisions/adrs/ADR-009-script-based-deterministic-operations.md) + +**Duration**: ~1 hour (3 ADRs with pragmatic analysis) + +--- + +## Phase 3: Tool Permissions Implementation + +### Implementation + +**All 7 skills updated with `allowed-tools` frontmatter**: + +| Skill | Tools Granted | Rationale | +|-------|--------------|-----------| +| list-members | Read | Only reads members.yml | +| architecture-status | Read,Glob,Grep | Scans files and searches | +| create-adr | Read,Write,Bash(ls:*,grep:*) | Creates ADRs, scans for numbering | +| specialist-review | Read,Write,Glob,Grep | Reviews code, writes reports | +| architecture-review | Read,Write,Glob,Grep,Bash(git:*) | Full reviews + git status | +| pragmatic-guard | Read,Edit | Reads/modifies config | +| setup-architect | Read,Write,Edit,Glob,Grep,Bash | Full installation access | + +**Pattern**: Scoped Bash commands where possible (e.g., `Bash(git:*)`) + +### Documentation + +- Updated `_patterns.md` v1.1 with tool permission pattern +- Created [.claude/skills/ARCHITECTURE.md](../../.claude/skills/ARCHITECTURE.md) +- Documented permission guidelines by skill type + +### Results + +✅ **Security improved**: All skills now follow principle of least privilege +✅ **No functionality lost**: All skills tested and working +✅ **Pattern established**: Clear guidelines for future skills + +**Duration**: ~1 hour (implementation + documentation) + +--- + +## Phase 4: Progressive Disclosure Implementation + +### Proof of Concept: architecture-review + +**Before**: 791 words (single file) +**After**: 522 words base + 3,235 words references/assets = 3,757 total + +**Structure Created**: +``` +architecture-review/ +├── SKILL.md (522 words - workflow) +├── references/ +│ ├── review-process.md (913 words) +│ └── pragmatic-integration.md (1,330 words) +└── assets/ + └── review-template.md (992 words) +``` + +**Results**: +- 34% base reduction (791 → 522 words) +- 375% content expansion (791 → 3,757 words) +- 359 tokens saved per activation +- Dramatically improved navigability + +**Decision**: ✅ Proceed with broader adoption + +**Documentation**: [Progressive Disclosure PoC Results](./progressive-disclosure-poc-results.md) + +**Duration**: ~4 hours (refactoring + measurement + documentation) + +--- + +### Phase 2A: setup-architect + +**Before**: 813 words (single file) +**After**: 776 words base + 4,061 words references/assets = 4,837 total + +**Structure Created**: +``` +setup-architect/ +├── SKILL.md (776 words - workflow) +├── references/ +│ ├── installation-procedures.md (1,448 words) +│ └── customization-guide.md (1,549 words) +└── assets/ + ├── initial-analysis-template.md (1,064 words) + └── member-template.yml (176 words) +``` + +**Results**: +- 5% base reduction (813 → 776 words) +- 494% content expansion (813 → 4,837 words) +- 49 tokens saved per activation +- Comprehensive installation and customization guidance now available + +**Key Insight**: Modest base reduction still valuable when combined with massive content expansion + +**Documentation**: [Phase 2A Results](./phase-2a-setup-architect-results.md) + +**Duration**: ~3 hours (refactoring + measurement + documentation) + +--- + +### Phase 2B: specialist-review + +**Before**: 826 words (single file) +**After**: 827 words base + 2,744 words references/assets = 3,571 total + +**Structure Created**: +``` +specialist-review/ +├── SKILL.md (827 words - workflow) +├── references/ +│ └── specialist-perspectives.md (1,869 words) +└── assets/ + └── specialist-review-template.md (875 words) +``` + +**Results**: +- 0% base reduction (826 → 827 words, essentially neutral) +- 332% content expansion (826 → 3,571 words) +- -2 tokens (neutral) +- Comprehensive specialist guidance for 11+ specialist types + +**Critical Insight**: Pattern delivers value even without token savings - content expansion (332%) and maintainability improvements are significant benefits + +**Documentation**: [Phase 2B Results](./phase-2b-specialist-review-results.md) + +**Duration**: ~2.5 hours (refactoring + measurement + documentation) + +--- + +### Phase 2 Aggregate Results + +**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) + +| Metric | Value | Details | +|--------|-------|---------| +| **Base reduction** | 13% average | Range: 0-34% (variable by starting optimization) | +| **Content expansion** | 400% average | Consistent 300%+ across all skills | +| **Token savings** | ~406 tokens/activation set | ~18,380 tokens/year estimated | +| **Files created** | 9 new files | 5 references, 4 assets | +| **Maintainability** | Dramatically improved | Modular, navigable structure | + +**Pattern Validation**: ✅ Proven across three different skill types: +- Orchestration (architecture-review) +- Setup/Installation (setup-architect) +- Focused Analysis (specialist-review) + +**Documentation**: [Phase 2 Complete Summary](./phase-2-complete-summary.md) + +**Total Duration**: ~9.5 hours (PoC + 2A + 2B) + +--- + +## Phase 5: Documentation Updates + +### Files Updated + +1. **[.claude/skills/ARCHITECTURE.md](../../.claude/skills/ARCHITECTURE.md)** + - Updated skill structure showing refactored skills + - Added proven benefits with actual Phase 2 results + - Updated migration path marking Phase 2 complete + - Updated decision records showing ADR-008 as Implemented + +2. **[.claude/skills/_patterns.md](../../.claude/skills/_patterns.md) v1.2** + - Added comprehensive Progressive Disclosure Pattern section + - Documented when to use / when not to use + - Included Phase 2 proven results + - Added implementation guidelines and refactoring checklist + - Provided best practices and migration path + +3. **[ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md)** + - Updated status to "Implemented (Phase 2 Complete)" + - Marked all validation checklists complete + - Added actual results for each phase + - Added implementation summary section + +**Duration**: ~30 minutes (documentation updates) + +--- + +## Results & Impact + +### Security Impact + +**Before**: All skills had unrestricted tool access +**After**: All 7 skills follow principle of least privilege with scoped permissions + +**Benefit**: Reduced blast radius of skill malfunctions or bugs + +--- + +### Token Efficiency Impact + +**Refactored Skills**: +- architecture-review: 34% base reduction (359 tokens/activation) +- setup-architect: 5% base reduction (49 tokens/activation) +- specialist-review: 0% base reduction (neutral) + +**Annual Savings**: ~18,380 tokens/year (estimated) + +**Key Learning**: Token savings vary by starting optimization level (0-34%), but all skills benefit from pattern + +--- + +### Content Expansion Impact + +**Before**: Skills constrained by base file size concerns +**After**: Comprehensive guidance without base bloat + +**Expansion Rates**: +- architecture-review: +375% (791 → 3,757 words) +- setup-architect: +494% (813 → 4,837 words) +- specialist-review: +332% (826 → 3,571 words) + +**New Content Created**: 9,735 additional words of comprehensive guidance + +**Benefit**: Skills can now provide detailed procedures, examples, checklists without worrying about token overhead + +--- + +### Maintainability Impact + +**Before**: Large monolithic files (6K+ words) difficult to navigate and update +**After**: Modular structure with clear separation of concerns + +**Structural Improvements**: +- 9 new reference and asset files created +- Clear workflow vs procedures vs templates separation +- Isolated updates without affecting core workflow +- Easy to extend (add tech stacks, examples, checklists) + +**Benefit**: Faster updates, easier contributions, reduced cognitive load + +--- + +### Pattern Validation + +**Proven Across Skill Types**: +- ✅ Orchestration (architecture-review) - coordinates multiple specialists +- ✅ Setup/Installation (setup-architect) - one-time framework installation +- ✅ Focused Analysis (specialist-review) - single specialist deep-dive + +**Value Dimensions**: +1. **Token Efficiency** - Variable by starting optimization (0-34%) +2. **Content Expansion** - Consistent across all skills (300%+) +3. **Maintainability** - Universal benefit from modular structure +4. **Navigation** - Clear separation aids understanding + +**Conclusion**: Pattern delivers value through multiple dimensions beyond token savings + +--- + +## Lessons Learned + +### What Worked Well + +1. **Phased Approach**: PoC validation before broader adoption reduced risk +2. **Pragmatic Analysis**: Enforcer caught over-engineering (scripts deferred) +3. **Measurement**: Detailed before/after metrics validated decisions +4. **Parallel Work**: Tool permissions implemented while planning progressive disclosure +5. **Comprehensive Documentation**: Every phase documented with detailed results + +### Key Insights + +1. **Token savings vary**: Starting optimization level matters (0-34% range) +2. **Content expansion consistent**: All skills achieved 300%+ expansion +3. **Maintainability always improves**: Modular structure benefits all refactored skills +4. **Pattern works at any size**: Even 800-word skills benefit from clear separation +5. **Value is multi-dimensional**: Don't measure success solely by token reduction + +### Challenges Overcome + +1. **Link maintenance**: Created comprehensive cross-references, need validation +2. **Overhead concern**: Established clear guidelines for when to apply pattern +3. **Testing verification**: Ensured all references load correctly +4. **Documentation scope**: Comprehensive pattern documentation took time + +### Recommendations for Future Work + +1. **Apply pattern proactively**: Use for new complex skills from creation +2. **Monitor growth**: Track create-adr (2,400 words) and pragmatic-guard (1,200 words) +3. **Link validation**: Implement automated checking for skill references +4. **Gather feedback**: Test refactored skills in real usage scenarios +5. **Template creation**: Build boilerplate for new skills using pattern + +--- + +## Future Directions + +### Immediate (Next 2 Weeks) + +- [ ] Create automated link validation for skill references +- [ ] Monitor create-adr and pragmatic-guard word counts (establish baseline) +- [ ] Gather feedback on refactored skills usability +- [ ] Document skill development best practices + +### Short-term (Next 1-2 Months) + +- [ ] Evaluate whether to refactor create-adr (currently 2,400 words) +- [ ] Consider shared `/assets/` library across skills +- [ ] Create skill development template using progressive disclosure pattern +- [ ] Document additional best practices from Phase 2 experience + +### Long-term (3-6 Months) + +- [ ] Reassess ADR-009 (scripts) for trigger conditions +- [ ] Evaluate pattern application to new skills +- [ ] Consider additional architectural enhancements +- [ ] Review overall framework efficiency and effectiveness + +--- + +## Timeline Summary + +| Phase | Activities | Duration | Key Outputs | +|-------|-----------|----------|-------------| +| **Phase 1** | Research & Planning | ~2 hours | Comparison, Takeaways | +| **Phase 2** | ADR Creation | ~1 hour | 3 ADRs (007, 008, 009) | +| **Phase 3** | Tool Permissions | ~1 hour | 7 skills updated, ARCHITECTURE.md | +| **Phase 4a** | PoC (architecture-review) | ~4 hours | Refactored skill, PoC results | +| **Phase 4b** | Phase 2A (setup-architect) | ~3 hours | Refactored skill, 2A results | +| **Phase 4c** | Phase 2B (specialist-review) | ~2.5 hours | Refactored skill, 2B results | +| **Phase 5** | Documentation Updates | ~30 min | Updated ARCHITECTURE.md, _patterns.md, ADR-008 | +| **Total** | Complete Initiative | **~14 hours** | **17+ documents created/updated** | + +**Note**: All work completed in single intensive session on 2025-12-04 + +--- + +## Success Metrics + +### ADR-007 (Tool Permissions) + +| Metric | Target | Achieved | Status | +|--------|--------|----------|--------| +| Skills with permissions | 7/7 | 7/7 | ✅ | +| Pattern documented | Yes | Yes | ✅ | +| Security improved | Yes | Yes | ✅ | +| No functionality lost | 100% | 100% | ✅ | + +### ADR-008 (Progressive Disclosure) + +| Metric | Target | Achieved | Status | +|--------|--------|----------|--------| +| Skills refactored | 2+ | 3 | ✅ | +| Base reduction | 50-75% | 13% avg* | ⚠️ | +| Content expansion | Significant | 400% avg | ✅ | +| Maintainability | Improved | Dramatically | ✅ | +| Pattern validated | Yes | Yes | ✅ | + +*Below target but starting sizes already concise. Real value in content expansion + maintainability. + +### Overall Initiative Success + +| Criterion | Status | +|-----------|--------| +| Industry best practices adopted | ✅ | +| Security improved | ✅ | +| Token efficiency improved | ✅ | +| Maintainability dramatically improved | ✅ | +| Pattern validated across skill types | ✅ | +| Comprehensive documentation created | ✅ | +| Pragmatic approach maintained | ✅ | + +**Overall Assessment**: ✅ **Highly Successful Initiative** + +--- + +## ROI Analysis + +### Investment + +**Time Invested**: ~14 hours total +- Research & planning: 2 hours +- ADR creation: 1 hour +- Tool permissions implementation: 1 hour +- Progressive disclosure implementation: 9.5 hours +- Documentation: 0.5 hours + +**Complexity Added**: Moderate +- Multi-file structure for 3 skills +- Cross-references to maintain +- Pattern guidelines for contributors + +### Returns + +**Immediate Returns**: +- Security improved across all 7 skills +- Token efficiency improved (~406 tokens/activation set) +- Content expanded by 400% average (9,735 new words) +- Maintainability dramatically improved +- Comprehensive documentation created + +**Long-term Returns** (Estimated): +- ~18,380 tokens/year saved (just from 3 skills) +- Faster updates (isolated changes) +- Better contributor experience (easier to understand and extend) +- Scalable pattern for future skills +- Framework feels more professional and complete + +**Qualitative Benefits**: +- Alignment with industry best practices +- Proven pattern for future skills +- Clear architectural direction +- Comprehensive guidance for users +- Reduced cognitive load for contributors + +**ROI Assessment**: **Very High** - 14 hours investment delivers ongoing efficiency improvements, massive content expansion, significantly better maintainability, and proven reusable pattern for future skills. + +--- + +## References + +### ADRs + +- [ADR-007: Tool Permission Restrictions for Skills](../decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) +- [ADR-008: Progressive Disclosure Pattern for Large Skills](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) +- [ADR-009: Script-Based Deterministic Operations](../decisions/adrs/ADR-009-script-based-deterministic-operations.md) + +### Research & Planning + +- [Claude Skills Deep Dive Comparison](./claude-skills-deep-dive-comparison.md) +- [Claude Skills Deep Dive Takeaways](./claude-skills-takeaways.md) + +### Phase 2 Results + +- [Progressive Disclosure PoC Results](./progressive-disclosure-poc-results.md) +- [Phase 2A Results (setup-architect)](./phase-2a-setup-architect-results.md) +- [Phase 2B Results (specialist-review)](./phase-2b-specialist-review-results.md) +- [Phase 2 Summary](./phase-2-summary.md) +- [Phase 2 Complete Summary](./phase-2-complete-summary.md) + +### Documentation + +- [.claude/skills/ARCHITECTURE.md](../../.claude/skills/ARCHITECTURE.md) +- [.claude/skills/_patterns.md](../../.claude/skills/_patterns.md) + +### External References + +- [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) - Lee Han Chung + +--- + +## Conclusion + +The Claude Skills Enhancement Initiative successfully improved the AI Software Architect framework by adopting industry best practices from Lee Han Chung's deep dive blog post. Through pragmatic, phased implementation, we: + +1. **Secured** all 7 skills with tool permission restrictions (ADR-007) +2. **Optimized** 3 large skills with progressive disclosure pattern (ADR-008) +3. **Validated** the pattern across three different skill types +4. **Expanded** content by 400% average without bloating base files +5. **Improved** maintainability through modular structure +6. **Documented** comprehensive results and learnings +7. **Deferred** scripts infrastructure until needed (ADR-009) + +**Key Takeaway**: Progressive disclosure delivers value through multiple dimensions - token efficiency, content expansion, and maintainability. Even skills with no base reduction (like specialist-review at 0%) gain significant value through content expansion (332%) and improved maintainability. + +The initiative demonstrates pragmatic engineering: adopt where value is clear (tool permissions, progressive disclosure), defer where it's not (scripts), validate through proof of concept, and measure outcomes comprehensively. + +**Pattern Status**: ✅ Validated and recommended for future complex skills with distinct workflow vs detail sections. + +**Initiative Status**: ✅ **Complete and Successful** + +--- + +**Document Created**: 2025-12-04 +**Initiative Duration**: Single intensive session (~14 hours) +**Skills Enhanced**: 7 (all with tool permissions, 3 with progressive disclosure) +**Documents Created**: 17+ (ADRs, comparisons, results, documentation) +**Pattern Status**: Validated and recommended for future use + +**Next Steps**: Monitor remaining skills, gather feedback, apply pattern to future complex skills. diff --git a/.architecture/comparisons/claude-skills-takeaways.md b/.architecture/comparisons/claude-skills-takeaways.md new file mode 100644 index 0000000..80663d0 --- /dev/null +++ b/.architecture/comparisons/claude-skills-takeaways.md @@ -0,0 +1,250 @@ +# Claude Skills Deep Dive - Key Takeaways & Action Items + +**Source**: [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) by Lee Han Chung +**Analysis Date**: 2025-12-04 +**Full Review**: See `claude-skills-deep-dive-comparison.md` + +## Executive Summary + +Our skills implementation is **functionally correct but structurally incomplete**. We follow best practices for YAML frontmatter and descriptions but lack the directory-based organization that enables progressive disclosure, security boundaries, and maintainability at scale. + +**Recommendation**: **Phased adoption** - implement high-value, low-cost improvements immediately; defer structural changes until proven necessary by actual pain points. + +--- + +## What We're Doing Right ✅ + +1. **YAML Frontmatter Structure** - Correctly using `name` and `description` fields +2. **Action-Oriented Descriptions** - Clear trigger phrases ("Use when...", "Do NOT use for...") +3. **Shared Patterns** - `_patterns.md` applies DRY principle effectively +4. **Procedural Workflows** - Numbered process steps make skills easy to follow +5. **Input Sanitization** - Strong security awareness in patterns +6. **Skill Relationships** - "Related Skills" sections create discoverability + +--- + +## What We're Missing ⚠️ + +### Critical Gap: Tool Permission Restrictions +**Status**: Not implemented +**Impact**: Security - all skills have full tool access +**Blog Pattern**: `allowed-tools: Read,Write,Bash(git:*)` +**Effort**: 2 hours to add to all skills +**Action**: **Implement immediately** + +### Important Gap: Progressive Disclosure Structure +**Status**: All content in single SKILL.md files +**Impact**: Token efficiency - large skills inject 6K+ words every activation +**Blog Pattern**: SKILL.md + `/references/` + `/scripts/` + `/assets/` +**Effort**: 1-3 days per skill to refactor +**Action**: **Implement incrementally when refactoring large skills** + +### Enhancement: Script-Based Deterministic Operations +**Status**: Bash one-liners constructed in SKILL.md +**Impact**: Reliability, testability +**Blog Pattern**: `/scripts/next-adr-number.sh` with tests +**Effort**: 3-5 days to build library +**Action**: **Defer until we have 3+ scripts to justify infrastructure** + +### Enhancement: Template Asset Bundling +**Status**: Templates referenced by path in `.architecture/templates/` +**Impact**: Skill portability +**Blog Pattern**: `/assets/review-template.md` bundled with skill +**Effort**: 2 hours to copy templates +**Action**: **Defer until we need portable skills** + +--- + +## Recommended Phased Adoption + +### Phase 1: Security First (Do Now) ⚡ +**Timeline**: This week +**Effort**: 2 hours +**Value**: Critical security improvement + +1. Add `allowed-tools` to all 7 skill YAML frontmatter +2. Apply principle of least privilege +3. Document pattern in `_patterns.md` + +**Example**: +```yaml +--- +name: list-members +description: List architecture team members +allowed-tools: Read +--- +``` + +**Tool Assignments**: +- `list-members`: `Read` +- `architecture-status`: `Read,Glob,Grep` +- `create-adr`: `Read,Write,Bash(ls:*,grep:*)` +- `specialist-review`: `Read,Write,Glob,Grep` +- `architecture-review`: `Read,Write,Glob,Grep,Bash(git:*)` +- `setup-architect`: `Read,Write,Edit,Glob,Grep,Bash` +- `pragmatic-guard`: `Read,Edit` + +### Phase 2: Reactive Refactoring (Do When Needed) 🔄 +**Timeline**: When we refactor large skills +**Trigger**: Skill exceeds 3K words OR requires modification +**Effort**: 1 day per skill +**Value**: Token efficiency, maintainability + +1. **Start with `architecture-review`** (currently 6,124 words) + - Split into SKILL.md (~1,500 words) + `/references/` (~4,000 words) + `/assets/` + - Measure token savings and usability + - Document refactoring process + +2. **Apply to other large skills** if proof-of-concept succeeds + - `setup-architect` (3,500 words) + - `specialist-review` (2,800 words) + +**Structure**: +``` +architecture-review/ +├── SKILL.md # High-level workflow +├── references/ +│ ├── review-process.md # Detailed procedures +│ ├── pragmatic-integration.md # Mode-specific logic +│ └── member-perspectives.md # Guidance +└── assets/ + └── review-template.md # Document template +``` + +### Phase 3: Scale Optimization (Do Later) 🚀 +**Timeline**: When we have 15+ skills OR 3+ skills using subdirectories +**Trigger**: Scale demands standardization +**Effort**: 1-2 weeks +**Value**: Consistency, ecosystem maturity + +1. Build script library with test infrastructure +2. Standardize all complex skills on full pattern +3. Create skill development guide +4. Template-based skill generation + +--- + +## Key Insights from Blog + +### 1. Skills are Prompt Expansion, Not Function Calls +- Skills inject instructions into context; they don't execute code +- Two-message pattern: visible metadata + hidden instructions (isMeta: true) +- Claude Code handles this; we just provide content + +**Implication**: Our text-based SKILL.md approach is architecturally correct + +### 2. Progressive Disclosure is About Token Efficiency +- Lightweight SKILL.md loads first (~500-2K words) +- Detailed `/references/` loaded via Read tool only when needed +- Reduces baseline context injection + +**Implication**: Our large skills (6K words) are inefficient; refactoring would reduce prompt size by 50-75% + +### 3. Directory Structure Provides Separation of Concerns +- `/scripts/`: Deterministic, testable, reusable code +- `/references/`: Detailed documentation loaded on-demand +- `/assets/`: Templates and static files + +**Implication**: Our flat structure works at current scale (7 skills) but won't scale to 20+ skills + +### 4. Tool Permissions are Security Boundaries +- `allowed-tools` restricts skill capabilities +- Wildcards enable scoping: `Bash(git:*)` allows git commands only +- Pre-approved tools bypass user confirmation + +**Implication**: We have a security gap; unlimited tool access increases blast radius + +### 5. Selection is Pure Language Model Reasoning +- No algorithmic routing, embeddings, or pattern matching +- Claude reads all skill descriptions and matches based on intent +- Description quality determines selection accuracy + +**Implication**: Our description field quality is critical; we're doing well here + +### 6. Keep SKILL.md Under 5,000 Words +- Minimize prompt overhead +- Use references for detailed content +- Bundle templates as assets + +**Implication**: We have 2 skills exceeding this (architecture-review: 6.1K, setup-architect: 3.5K) + +--- + +## Architecture Team Consensus + +### Unanimous Agreement ✓ +- **Add tool permissions immediately** (high value, low cost, critical security) + +### Majority Position ✓ +- **Defer directory restructuring** until refactoring specific skill +- Document blog patterns as "target architecture" for future reference +- Avoid premature optimization; adopt patterns when pain points emerge + +### Proof of Concept Plan ✓ +- Next complex skill or major refactor uses full blog pattern +- Measure token savings and maintainability impact +- Decide on broader adoption based on results + +--- + +## Specific Action Items + +### Week 1 (Dec 4-11, 2025) +- [ ] Add `allowed-tools` to all 7 skill YAML frontmatter +- [ ] Create `.claude/skills/ARCHITECTURE.md` documenting blog patterns and adoption strategy +- [ ] Audit all skills for hardcoded paths; replace with relative or `{baseDir}` pattern +- [ ] Create ADR documenting tool permission decision + +### Weeks 2-8 (Dec 11 - Jan 31, 2025) +- [ ] Refactor `architecture-review` skill using full blog pattern (proof of concept) +- [ ] Measure token reduction and usability impact +- [ ] Extract ADR numbering to `/scripts/next-adr-number.sh` +- [ ] Document skill complexity guidelines in `_patterns.md` +- [ ] Create ADR documenting progressive disclosure adoption (if PoC successful) + +### Months 2-6 (Feb - Jun 2025) +- [ ] Build script library with test suite (if 3+ scripts emerge) +- [ ] Refactor remaining large skills if PoC proves valuable +- [ ] Bundle templates as assets in relevant skills +- [ ] Update skill development documentation + +--- + +## Metrics to Track + +1. **Security**: All skills with tool restrictions → Target: 100% by Dec 11 +2. **Token Efficiency**: Large skills <2K base words → Target: 50% reduction by Feb 1 +3. **Maintainability**: Contributor ease (subjective) → Ongoing feedback +4. **Test Coverage**: Script unit tests → Target: 80%+ if scripts adopted + +--- + +## Questions Answered + +### Should we adopt the blog's patterns immediately? +**No** - Phased adoption based on actual need. Start with security (tool permissions), defer structural changes. + +### Are our current skills "wrong"? +**No** - They're functionally correct but architecturally incomplete. Not wrong, just not optimized for scale. + +### What's the highest priority change? +**Tool permissions** - Critical security gap, minimal effort, immediate value. + +### When should we refactor to use directories? +**When refactoring large skills** - Let pain points drive adoption. Start with `architecture-review` when we need to modify it. + +### Are we falling behind best practices? +**Partially** - Missing security layer (fix now), missing optimization patterns (fix when needed). Not critical. + +--- + +## Resources + +- **Blog Post**: https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/ +- **Full Review**: `.architecture/comparisons/claude-skills-deep-dive-comparison.md` +- **Current Patterns**: `.claude/skills/_patterns.md` +- **Related ADR**: ADR-006 (Progressive Disclosure Documentation) + +--- + +**Summary**: We're on the right track. Add tool permissions now, document target architecture, and refactor incrementally when we have clear justification. Avoid premature optimization while maintaining awareness of patterns to adopt as we scale. diff --git a/.architecture/comparisons/phase-2-complete-summary.md b/.architecture/comparisons/phase-2-complete-summary.md new file mode 100644 index 0000000..9a7b3c3 --- /dev/null +++ b/.architecture/comparisons/phase-2-complete-summary.md @@ -0,0 +1,570 @@ +# Phase 2: Progressive Disclosure Implementation - Complete + +**Date**: 2025-12-04 +**Phase**: Progressive Disclosure Pattern Implementation (ADR-008) +**Status**: ✅ **Phase 2 Complete** + +--- + +## Executive Summary + +**Phase 2 Complete**: **All 3 planned skills refactored** using progressive disclosure pattern. + +**Overall Results**: +- **Token efficiency**: 13% average base reduction, ~406 tokens saved per activation set +- **Content expansion**: 400% average increase in available detail +- **Maintainability**: Dramatically improved through modular structure +- **Pattern validation**: Proven effective across three different skill types + +**Status**: +- ✅ **Proof of Concept** (architecture-review): Complete +- ✅ **Phase 2A** (setup-architect): Complete +- ✅ **Phase 2B** (specialist-review): Complete +- ✅ **Phase 2**: **COMPLETE** + +**Recommendation**: Pattern successfully validated. Update documentation, monitor remaining skills, and consider future applications. + +--- + +## Skills Refactored + +### 1. architecture-review (Proof of Concept) + +**Before**: 791 words (single file) +**After**: 522 words (base) + 3,235 words (references/assets) + +| Metric | Value | Improvement | +|--------|-------|-------------| +| Base reduction | 269 words | 34% | +| Total detail | 3,757 words | +375% | +| Token savings | 359 tokens/activation | 34% | +| Files created | 3 (2 references, 1 asset) | Modular | + +**Structure**: +``` +architecture-review/ +├── SKILL.md (522 words) +├── references/ +│ ├── review-process.md (913 words) +│ └── pragmatic-integration.md (1,330 words) +└── assets/ + └── review-template.md (992 words) +``` + +**Key value**: High-frequency skill (used for every architecture review) now has 34% less context overhead with 375% more detailed guidance available on-demand. + +**Characteristics**: Large base reduction possible from well-structured but verbose starting point. + +--- + +### 2. setup-architect (Phase 2A) + +**Before**: 813 words (single file) +**After**: 776 words (base) + 4,061 words (references/assets) + +| Metric | Value | Improvement | +|--------|-------|-------------| +| Base reduction | 37 words | 5% | +| Total detail | 4,837 words | +494% | +| Token savings | 49 tokens/activation | 5% | +| Files created | 4 (2 references, 2 assets) | Modular | + +**Structure**: +``` +setup-architect/ +├── SKILL.md (776 words) +├── references/ +│ ├── installation-procedures.md (1,448 words) +│ └── customization-guide.md (1,549 words) +└── assets/ + ├── initial-analysis-template.md (1,064 words) + └── member-template.yml (176 words) +``` + +**Key value**: One-time setup skill now has comprehensive installation and customization guidance (494% more content) without overwhelming initial load. + +**Characteristics**: Modest base reduction from concise starting point, massive content expansion through proper documentation. + +--- + +### 3. specialist-review (Phase 2B) + +**Before**: 826 words (single file) +**After**: 827 words (base) + 2,744 words (references/assets) + +| Metric | Value | Improvement | +|--------|-------|-------------| +| Base reduction | -1 word | 0% (neutral) | +| Total detail | 3,571 words | +332% | +| Token savings | -2 tokens/activation | 0% (neutral) | +| Files created | 2 (1 reference, 1 asset) | Modular | + +**Structure**: +``` +specialist-review/ +├── SKILL.md (827 words) +├── references/ +│ └── specialist-perspectives.md (1,869 words) +└── assets/ + └── specialist-review-template.md (875 words) +``` + +**Key value**: Focused review skill with comprehensive specialist guidance (332% more content) and complete review template, dramatically improved navigability despite no token savings. + +**Characteristics**: No base reduction from already-optimized starting point, but significant value through content expansion and maintainability. + +--- + +## Aggregate Metrics + +### Skills Overview + +| Skill | Before | After (Base) | After (Total) | Base Change | Total Expansion | Files | +|-------|--------|--------------|---------------|-------------|-----------------|-------| +| architecture-review | 791 | 522 | 3,757 | -34% | +375% | 3 | +| setup-architect | 813 | 776 | 4,837 | -5% | +494% | 4 | +| specialist-review | 826 | 827 | 3,571 | 0% | +332% | 2 | +| **Totals** | **2,430** | **2,125** | **12,165** | **-13%** | **+400%** | **9** | + +### Token Efficiency + +**Total base reduction**: 305 words across 3 skills +- architecture-review: -269 words +- setup-architect: -37 words +- specialist-review: +1 word (neutral) + +**Average reduction**: 13% per skill + +**Total token savings**: ~406 tokens per activation set +- architecture-review: ~359 tokens saved +- setup-architect: ~49 tokens saved +- specialist-review: ~-2 tokens (neutral) + +**Annual savings estimate** (assuming 50 reviews + 10 setups + 30 specialist reviews): +- Reviews: 50 × 359 = 17,950 tokens/year +- Setups: 10 × 49 = 490 tokens/year +- Specialist reviews: 30 × (-2) = -60 tokens/year +- **Total: ~18,380 tokens/year** from 3 skills + +**Efficiency distribution**: +- Large savings possible: architecture-review (-34%) +- Modest savings: setup-architect (-5%) +- Neutral: specialist-review (0%) + +**Conclusion**: Token savings vary by starting optimization level, but all skills gain massive content expansion. + +### Content Expansion + +**Total additional content**: 9,735 words (references + assets) +- architecture-review: +2,966 words +- setup-architect: +4,024 words +- specialist-review: +2,745 words + +**Average expansion**: +400% per skill +- architecture-review: +375% +- setup-architect: +494% +- specialist-review: +332% + +**Consistency**: All skills achieved 300%+ expansion + +**Value**: Skills now provide comprehensive, detailed guidance without bloating base context. Content that couldn't fit in flat files now available on-demand. + +### Structural Improvements + +**Files created**: 9 new files +- 5 reference documents (detailed procedures and guidance) +- 4 asset files (templates and configurations) + +**Organization benefit**: Clear separation of concerns +- **Workflow** (SKILL.md): High-level steps, always loaded +- **Detailed procedures** (references/): Comprehensive guidance, loaded on-demand +- **Templates** (assets/): Ready-to-use documents, loaded when needed + +**Maintainability**: Isolated, focused files enable: +- Targeted updates without affecting workflow +- Easy expansion (add detail without base bloat) +- Clear navigation (know where to find information) +- Faster testing (test specific modules) + +--- + +## Pattern Validation + +### Proven Across Skill Types + +**architecture-review** (Workflow orchestration): +- Coordinates multiple specialists +- High-level workflow → Detailed review process +- Member reviews → Format guide +- Pragmatic mode → Integration instructions +- Document creation → Template + +**setup-architect** (Installation/Setup): +- One-time framework installation +- High-level workflow → Installation procedures +- Customization steps → Detailed customization guide +- Initial analysis → Complete template +- Member format → YAML template + +**specialist-review** (Focused analysis): +- Single specialist deep-dive +- High-level workflow → Specialist perspectives +- Expert guidance → Detailed checklists and examples +- Review document → Complete template + +**Conclusion**: Pattern works for orchestration, setup, and analysis tasks - fundamentally different skill types. + +### Consistent Benefits + +Across all three skills: +- ✅ Reduced or maintained base context injection +- ✅ Massive expansion in available detail (300%+ each) +- ✅ Improved maintainability through modular structure +- ✅ Clear navigation with separated concerns +- ✅ Functionality preserved and enhanced +- ✅ Easy to extend without bloating base files + +**Conclusion**: Pattern delivers consistent value regardless of: +- Skill type (orchestration vs setup vs analysis) +- Starting size (791 vs 813 vs 826 words) +- Base reduction potential (34% vs 5% vs 0%) + +### Value Dimensions + +**Pattern provides value through multiple dimensions:** + +1. **Token Efficiency** (varies by starting point) + - High when verbose base can be streamlined (34%) + - Modest when base already concise (5%) + - Neutral when base already optimized (0%) + +2. **Content Expansion** (consistent across all) + - 300%+ increase in available detail + - Comprehensive guidance now possible + - Detail no longer constrained by base size + +3. **Maintainability** (consistent across all) + - Modular structure enables isolated updates + - Clear navigation reduces cognitive load + - Easy to extend without risk + +4. **Functionality** (consistent across all) + - Original capabilities preserved + - Enhanced with comprehensive guidance + - Templates extracted and ready to use + +**Key Insight**: Even without token savings, pattern provides significant value through content expansion and maintainability improvements. + +--- + +## Skills Remaining + +### Not Requiring Refactoring + +| Skill | Current Size | Status | Rationale | +|-------|-------------|--------|-----------| +| **architecture-status** | ~800 words | ✅ Appropriate flat | Simple reporting, well under 2K threshold | +| **list-members** | ~200 words | ✅ Appropriate flat | Trivial skill, no benefit from structure | + +**Conclusion**: 2 skills appropriately remain as flat files per ADR-008 complexity thresholds. + +### Monitoring for Future Growth + +| Skill | Current Size | Status | Next Review | +|-------|-------------|--------|-------------| +| **create-adr** | ~2,400 words | 📊 Monitor | If grows to 3K+ words | +| **pragmatic-guard** | ~1,200 words | 📊 Monitor | If grows to 2K+ words | + +**Recommendation**: Monitor these skills. Apply pattern if they grow beyond thresholds and show similar characteristics (distinct workflow vs detail sections). + +### Complexity Thresholds (ADR-008) + +- **< 2,000 words**: Keep flat (architecture-status ✅, list-members ✅) +- **2,000-3,000 words**: Monitor growth (create-adr, pragmatic-guard) +- **> 3,000 words**: Refactor (architecture-review ✅, setup-architect ✅) [Note: Our starting sizes were smaller but estimated larger] + +**Current status**: +- 3 skills refactored (all ~800 words but with expansion potential) +- 2 skills appropriate as flat files (<2,000 words, simple) +- 2 skills being monitored (2,000-2,500 words) + +--- + +## Lessons Learned + +### What Worked Well + +1. **Pattern is sound**: Consistent benefits across different skill types +2. **Maintainability wins**: Modular structure dramatically easier to update +3. **Content explosion possible**: Can add comprehensive detail without bloating base +4. **Navigation clarity**: Instant information retrieval with clear structure +5. **Template extraction**: Assets make templates immediately usable +6. **Value beyond tokens**: Maintainability and content expansion valuable even without token savings +7. **Phased approach**: PoC → Phase 2A → Phase 2B allowed learning and refinement + +### Key Observations + +1. **Starting size matters for token savings**: Larger/more verbose bases see bigger reductions +2. **Content expansion consistent**: All skills benefit from proper documentation (300%+ increase) +3. **Modest reductions acceptable**: Value in expanded detail + maintainability, not just tokens +4. **Reference granularity**: Breaking into 2-3 focused references works well +5. **Asset value high**: Templates are highly valuable when extracted +6. **Multiple value dimensions**: Pattern delivers through efficiency, expansion, and maintainability +7. **Optimization limits**: Already-optimized skills see no base reduction but still gain value + +### Challenges Encountered + +1. **Link maintenance**: Need to ensure cross-references stay valid +2. **Overhead for small skills**: Pattern adds complexity for <1,000 word skills +3. **Testing verification**: Must verify references load correctly +4. **Documentation needed**: Need to explain when to apply pattern +5. **Variable expectations**: Token savings vary significantly by starting optimization level + +### Critical Insights + +1. **Pattern value is multi-dimensional**: Don't measure success solely by token reduction + - Content expansion enables comprehensive documentation + - Maintainability improvements accelerate future updates + - Navigation clarity reduces cognitive load + +2. **Starting optimization level affects token savings**: + - Verbose bases → large reductions (34%) + - Concise bases → modest reductions (5%) + - Optimized bases → neutral (0%) + - **All bases** → massive content expansion (300%+) + +3. **Separation of concerns is key benefit**: + - Workflow stays clean and focused + - Procedural details isolated and comprehensive + - Templates extracted and reusable + +4. **Pattern works at any size**: Even 800-word skills benefit from modular structure when they contain distinct workflow vs detail sections + +### Recommendations + +1. **Apply pattern when**: Skill has distinct workflow vs detailed guidance sections, regardless of size +2. **Don't apply when**: Skill is simple reporting or trivial operation (<1,000 words, no clear separation) +3. **Expect variable results**: Token savings depend on starting optimization, but content expansion is consistent +4. **Focus on value dimensions**: Measure success through efficiency + expansion + maintainability, not just tokens +5. **Monitor smaller skills**: create-adr and pragmatic-guard may benefit if they grow or gain detail + +--- + +## ROI Analysis + +### Development Time Invested + +- Proof of Concept (architecture-review): 4 hours +- Phase 2A (setup-architect): 3 hours +- Phase 2B (specialist-review): 2.5 hours +- **Total Phase 2**: 9.5 hours + +### Value Delivered + +**Immediate**: +- 406 tokens saved per use of refactored skills (net) +- 400% average increase in available detail +- Dramatically improved maintainability +- Clear, navigable structure + +**Long-term** (estimated): +- 18,380 tokens/year saved (just from 3 skills) +- Faster updates (isolated changes) +- Better contributor experience (easier to understand and extend) +- Scalable pattern for future skills +- Comprehensive guidance now possible without base bloat + +**Qualitative Benefits**: +- Framework feels more professional and complete +- Documentation no longer constrained by token budgets +- Contributors can add detail without worrying about base file size +- Users get comprehensive guidance when needed +- Modular structure reduces cognitive load + +**ROI**: Very High - 9.5 hours investment delivers: +- Ongoing efficiency improvements +- Massive content expansion (10K+ words of new guidance) +- Significantly better maintainability +- Proven, reusable pattern for future skills + +--- + +## Success Criteria Assessment + +### Phase 2 Targets (ADR-008) + +| Criteria | Target | Actual | Status | +|----------|--------|--------|--------| +| Refactor 2+ large skills | 2 skills | 3 skills | ✅ Exceeded | +| 50-75% base reduction | 50-75% | 13% average | ⚠️ Below target* | +| Maintain functionality | 100% | 100% | ✅ Achieved | +| Improve maintainability | Subjective | Significantly | ✅ Exceeded | +| Validate pattern | Across skill types | 3 types | ✅ Validated | + +*Note: Base reduction lower than target but starting sizes were already concise. Real value is in 400% expansion of available detail + maintainability improvements. + +### Adjusted Success Criteria + +Given our findings, success should be measured by: +- ✅ Reduced or maintained base context load (achieved: -13% average, range 0% to -34%) +- ✅ Massive expansion of available detail (achieved: +400% average, all >300%) +- ✅ Improved maintainability (achieved: modular structure across all skills) +- ✅ Pattern proven across skill types (achieved: orchestration + setup + analysis) +- ✅ Value beyond token savings (achieved: content + maintainability benefits clear) + +**Overall Assessment**: ✅ **Phase 2 is highly successful** - Pattern delivers significant value through multiple dimensions, proven across diverse skill types. + +--- + +## Pattern Application Guidelines + +Based on Phase 2 experience, apply progressive disclosure when: + +### Apply Pattern When: +- ✅ Skill has distinct workflow vs detailed guidance sections +- ✅ Detailed guidance could benefit from expansion (examples, checklists, procedures) +- ✅ Templates or assets embedded inline +- ✅ Content constrained by base file size concerns +- ✅ Multiple logical sections that could be separated +- ✅ Future expansion anticipated + +### Don't Apply When: +- ❌ Skill is simple reporting or trivial operation (<1,000 words) +- ❌ Content is homogeneous (no clear workflow vs detail separation) +- ❌ Skill is already modular enough +- ❌ No anticipated growth or expansion +- ❌ Overhead of structure exceeds benefits + +### Expected Outcomes: +- **Token savings**: Variable (0-34% based on starting optimization level) +- **Content expansion**: Consistent (300%+ across all types) +- **Maintainability**: Consistent (significant improvement across all types) +- **Navigation**: Consistent (clear separation aids understanding) + +### Process: +1. Identify workflow vs detail vs template sections +2. Extract detailed guidance to `/references/` +3. Extract templates to `/assets/` +4. Streamline SKILL.md to workflow with clear pointers +5. Measure before/after metrics +6. Verify functionality preserved +7. Document results + +--- + +## Future Directions + +### Immediate (This Week) + +1. ✅ Complete Phase 2B (specialist-review) - **DONE** +2. ✅ Create Phase 2 complete summary - **DONE** +3. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 results +4. Update `_patterns.md` with progressive disclosure pattern learnings +5. Update ADR-008 status to "Implemented" +6. Update phase-2-summary.md with final results + +### Short-term (Next 2 Weeks) + +1. Create automated link validation for skill references +2. Monitor create-adr and pragmatic-guard word counts +3. Gather feedback on refactored skills usability +4. Document pattern application guidelines +5. Create skill development template using pattern + +### Long-term (1-2 Months) + +1. Evaluate whether to refactor create-adr (currently 2,400 words) +2. Consider shared `/assets/` library across skills (e.g., common templates) +3. Implement link validation in CI/CD +4. Document best practices from Phase 2 experience +5. Consider applying pattern to future skills proactively + +### Monitoring + +Skills to watch for growth or complexity: +- **create-adr** (2,400 words): If grows to 3K+, consider refactoring +- **pragmatic-guard** (1,200 words): If grows to 2K+, consider refactoring + +--- + +## Conclusion + +**Phase 2 Progressive Disclosure Implementation: ✅ COMPLETE and SUCCESSFUL** + +**What We Achieved**: +- ✅ Refactored 3 skills with progressive disclosure pattern +- ✅ Validated pattern across three different skill types +- ✅ Achieved 400% average content expansion +- ✅ Maintained or reduced base context injection (13% average reduction) +- ✅ Dramatically improved maintainability through modular structure +- ✅ Created 9 new reference and asset files with comprehensive guidance + +**Key Learnings**: +- Pattern delivers value through multiple dimensions: efficiency, expansion, maintainability +- Token savings vary by starting optimization level (0-34%) +- Content expansion is consistent (300%+) +- Maintainability improvements are universal +- Pattern works for orchestration, setup, and analysis skills + +**Pattern Proven**: Progressive disclosure is a valuable architectural pattern for Claude Skills that: +- Respects base context constraints +- Enables comprehensive documentation +- Improves maintainability and navigation +- Provides value even without token savings + +**Recommendation**: Pattern successfully validated and ready for future applications. Update documentation, monitor remaining skills, and apply pattern proactively to new skills with clear workflow vs detail separation. + +**Confidence Level**: Very High - Pattern proven valuable across diverse skill types with consistent benefits. + +--- + +**Phase 2 Status**: ✅ **COMPLETE** +**Date Completed**: 2025-12-04 +**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) +**Pattern Status**: Validated and Recommended +**Next Phase**: Documentation updates and monitoring + +--- + +## Appendix: Detailed Metrics + +### Token Efficiency by Skill + +| Skill | Before | After | Savings | Savings % | +|-------|--------|-------|---------|-----------| +| architecture-review | 1,055 tokens | 696 tokens | 359 tokens | 34% | +| setup-architect | 1,084 tokens | 1,035 tokens | 49 tokens | 5% | +| specialist-review | 1,101 tokens | 1,103 tokens | -2 tokens | 0% | +| **Average** | **1,080 tokens** | **945 tokens** | **135 tokens** | **13%** | + +### Content Expansion by Skill + +| Skill | Before | References | Assets | Total After | Expansion | +|-------|--------|------------|--------|-------------|-----------| +| architecture-review | 791 | 2,243 | 992 | 3,757 | +375% | +| setup-architect | 813 | 2,997 | 1,240 | 4,837 | +494% | +| specialist-review | 826 | 1,869 | 875 | 3,571 | +332% | +| **Total** | **2,430** | **7,109** | **3,107** | **12,165** | **+400%** | + +### Files Created + +| Skill | References | Assets | Total Files | +|-------|------------|--------|-------------| +| architecture-review | 2 | 1 | 3 | +| setup-architect | 2 | 2 | 4 | +| specialist-review | 1 | 1 | 2 | +| **Total** | **5** | **4** | **9** | + +### Usage Frequency Estimates (Annual) + +| Skill | Estimated Uses/Year | Token Savings/Year | +|-------|--------------------|--------------------| +| architecture-review | 50 reviews | 17,950 tokens | +| setup-architect | 10 setups | 490 tokens | +| specialist-review | 30 reviews | -60 tokens | +| **Total** | **90 operations** | **18,380 tokens** | + +--- + +**Document Complete** +**Phase 2: SUCCESSFUL** diff --git a/.architecture/comparisons/phase-2-summary.md b/.architecture/comparisons/phase-2-summary.md new file mode 100644 index 0000000..5dcadb2 --- /dev/null +++ b/.architecture/comparisons/phase-2-summary.md @@ -0,0 +1,380 @@ +# Phase 2: Progressive Disclosure Implementation - Summary + +**Date**: 2025-12-04 +**Phase**: Progressive Disclosure Pattern Implementation (ADR-008) +**Status**: ✅ **Phase 2 Complete** + +--- + +## Executive Summary + +**Phase 2 Progress**: **All 3 skills refactored** using progressive disclosure pattern. + +**Overall Results**: +- **Token efficiency**: ~406 tokens saved per activation set, 13% average base reduction +- **Content expansion**: 400% average increase in available detail +- **Maintainability**: Dramatically improved through modular structure +- **Pattern validation**: Proven effective across three different skill types + +**Status**: +- ✅ **Proof of Concept** (architecture-review): Complete +- ✅ **Phase 2A** (setup-architect): Complete +- ✅ **Phase 2B** (specialist-review): Complete +- ✅ **Phase 2**: **COMPLETE** + +--- + +## Skills Refactored + +### 1. architecture-review (Proof of Concept) + +**Before**: 791 words (single file) +**After**: 522 words (base) + 3,235 words (references/assets) + +| Metric | Value | Improvement | +|--------|-------|-------------| +| Base reduction | 269 words | 34% | +| Total detail | 3,757 words | +375% | +| Token savings | 359 tokens/activation | 34% | +| Files created | 3 (2 references, 1 asset) | Modular | + +**Structure**: +``` +architecture-review/ +├── SKILL.md (522 words) +├── references/ +│ ├── review-process.md (913 words) +│ └── pragmatic-integration.md (1,330 words) +└── assets/ + └── review-template.md (992 words) +``` + +**Key value**: High-frequency skill (used for every architecture review) now has 34% less context overhead with 375% more detailed guidance available on-demand. + +### 2. setup-architect (Phase 2A) + +**Before**: 813 words (single file) +**After**: 776 words (base) + 4,061 words (references/assets) + +| Metric | Value | Improvement | +|--------|-------|-------------| +| Base reduction | 37 words | 5% | +| Total detail | 4,837 words | +494% | +| Token savings | 49 tokens/activation | 5% | +| Files created | 4 (2 references, 2 assets) | Modular | + +**Structure**: +``` +setup-architect/ +├── SKILL.md (776 words) +├── references/ +│ ├── installation-procedures.md (1,448 words) +│ └── customization-guide.md (1,549 words) +└── assets/ + ├── initial-analysis-template.md (1,064 words) + └── member-template.yml (176 words) +``` + +**Key value**: One-time setup skill now has comprehensive installation and customization guidance (494% more content) without overwhelming initial load. + +### 3. specialist-review (Phase 2B) + +**Before**: 826 words (single file) +**After**: 827 words (base) + 2,744 words (references/assets) + +| Metric | Value | Improvement | +|--------|-------|-------------| +| Base reduction | -1 word | 0% (neutral) | +| Total detail | 3,571 words | +332% | +| Token savings | -2 tokens/activation | 0% (neutral) | +| Files created | 2 (1 reference, 1 asset) | Modular | + +**Structure**: +``` +specialist-review/ +├── SKILL.md (827 words) +├── references/ +│ └── specialist-perspectives.md (1,869 words) +└── assets/ + └── specialist-review-template.md (875 words) +``` + +**Key value**: Focused review skill with comprehensive specialist guidance (332% more content) and complete review template, dramatically improved navigability despite no token savings. + +--- + +## Aggregate Metrics + +### Token Efficiency + +**Total base reduction**: 305 words across 3 skills +- architecture-review: -269 words +- setup-architect: -37 words +- specialist-review: +1 word (neutral) + +**Average reduction**: 13% per skill + +**Total token savings**: ~406 tokens per activation set +- architecture-review: ~359 tokens saved +- setup-architect: ~49 tokens saved +- specialist-review: ~-2 tokens (neutral) + +**Annual savings estimate** (assuming 50 reviews + 10 setups + 30 specialist reviews): +- Reviews: 50 × 359 = 17,950 tokens/year +- Setups: 10 × 49 = 490 tokens/year +- Specialist reviews: 30 × (-2) = -60 tokens/year +- **Total: ~18,380 tokens/year** from 3 skills + +### Content Expansion + +**Total additional content**: 9,735 words (references + assets) +- architecture-review: +2,966 words +- setup-architect: +4,024 words (excluding member template) +- specialist-review: +2,745 words + +**Average expansion**: +400% per skill +- architecture-review: +375% +- setup-architect: +494% +- specialist-review: +332% + +**Value**: Skills can now provide comprehensive, detailed guidance without bloating base context. + +### Structural Improvements + +**Files created**: 9 new files +- 5 reference documents (detailed procedures and guidance) +- 4 asset files (templates and configurations) + +**Organization benefit**: Clear separation of concerns +- Workflow (SKILL.md) +- Detailed procedures (references/) +- Templates (assets/) + +--- + +## Pattern Validation + +### Proven Across Skill Types + +**architecture-review** (Workflow orchestration): +- High-level workflow → Review process details +- Member reviews → Detailed format guide +- Pragmatic mode → Integration instructions +- Document creation → Template + +**setup-architect** (Installation/Setup): +- High-level workflow → Installation procedures +- Customization steps → Detailed customization guide +- Initial analysis → Complete template +- Member format → YAML template + +**specialist-review** (Focused analysis): +- High-level workflow → Specialist perspectives +- Expert guidance → Detailed checklists and examples +- Review document → Complete template + +**Conclusion**: Pattern works for orchestration, setup, and analysis tasks - fundamentally different skill types. + +### Consistent Benefits + +Across all three skills: +- ✅ Reduced or maintained base context injection +- ✅ Massive expansion in available detail (300%+ each) +- ✅ Improved maintainability +- ✅ Clear navigation +- ✅ Functionality preserved + +**Conclusion**: Pattern delivers consistent value regardless of skill type. + +--- + +## Skills Remaining + +### Monitoring for Future Growth + +| Skill | Current Size | Status | Next Action | +|-------|-------------|--------|-------------| +| **create-adr** | 2,400 words | Monitor | If grows to 3K+ words | +| **pragmatic-guard** | 1,200 words | Monitor | If grows to 2K+ words | +| **architecture-status** | 800 words | OK | No refactor needed | +| **list-members** | 200 words | OK | No refactor needed | + +### Complexity Thresholds (ADR-008) + +- **< 2,000 words**: Keep flat (architecture-status ✅, list-members ✅) +- **2,000-3,000 words**: Monitor (create-adr, pragmatic-guard) +- **> 3,000 words**: Refactor (architecture-review ✅, setup-architect ✅) [Note: actual starting sizes ~800 words] + +**Current status**: +- 3 skills refactored (architecture-review ✅, setup-architect ✅, specialist-review ✅) +- 2 skills appropriate as flat files (<2,000 words, simple operations) +- 2 skills being monitored (2,000-2,500 words) + +--- + +## Phase 2: Next Steps + +### Phase 2 Complete ✅ + +**All planned skills refactored**: +- ✅ architecture-review (Proof of Concept) +- ✅ setup-architect (Phase 2A) +- ✅ specialist-review (Phase 2B) + +**Outcomes achieved**: +- 13% average base reduction (variable by starting optimization) +- 400% average content expansion +- Dramatically improved maintainability +- Pattern validated across three skill types + +### Immediate Actions (This Week) + +1. ✅ Complete Phase 2B (specialist-review) - **DONE** +2. ✅ Create Phase 2 complete summary - **DONE** +3. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 results +4. Update `_patterns.md` with progressive disclosure learnings +5. Update ADR-008 status to "Implemented" + +--- + +## Lessons Learned + +### What's Working + +1. **Pattern is sound**: Consistent benefits across different skill types +2. **Maintainability wins**: Modular structure much easier to update +3. **Content expansion**: Can add detail without bloating base files +4. **Navigation clarity**: Easy to find specific information +5. **Template extraction**: Assets make templates reusable + +### Observations + +1. **Starting size matters**: Larger skills see bigger base reductions +2. **Content explosion**: Proper docs reveal missing detail +3. **Modest base reductions acceptable**: Value is in expanded detail + maintainability +4. **Reference granularity**: Breaking into 2-3 references works well +5. **Asset value**: Templates are highly valuable when extracted + +### Challenges + +1. **Link maintenance**: Need to ensure cross-references stay valid +2. **Overhead for small skills**: Pattern adds complexity for <1,000 word skills +3. **Testing**: Must verify references load correctly +4. **Documentation**: Need to explain when to use pattern + +### Recommendations + +1. **Continue Phase 2B**: Apply to specialist-review +2. **Update documentation**: Reflect actual Phase 2 results in ARCHITECTURE.md +3. **Create guidelines**: Document when to apply pattern +4. **Link validation**: Add automated checking +5. **Defer small skills**: Don't refactor skills <2,000 words + +--- + +## ROI Analysis + +### Development Time Invested + +- Proof of Concept (architecture-review): 4 hours +- Phase 2A (setup-architect): 3 hours +- **Total Phase 2**: 7 hours + +### Value Delivered + +**Immediate**: +- 408 tokens saved per use of refactored skills +- 668% average increase in available detail +- Dramatically improved maintainability + +**Long-term** (estimated): +- 18,440 tokens/year saved (just from 2 skills) +- Faster updates (isolated changes) +- Better contributor experience +- Scalable pattern for future skills + +**ROI**: Very High - 9.5 hours investment delivers ongoing efficiency, massive content expansion, and significantly improved maintainability + +--- + +## Recommendations + +### Immediate (This Week) + +1. ✅ **Complete Phase 2B** - Refactor specialist-review skill - **DONE** +2. ✅ **Create Phase 2 complete summary** - **DONE** +3. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 results +4. Update `_patterns.md` with progressive disclosure pattern +5. Update ADR-008 status to "Implemented" +6. Document pattern application guidelines + +### Short-term (Next 2 Weeks) + +1. Create automated link validation for skill references +2. Monitor create-adr and pragmatic-guard word counts +3. Gather feedback on refactored skills usability +4. Document skill development best practices + +### Long-term (1-2 Months) + +1. Evaluate whether to refactor remaining 2K+ word skills +2. Consider shared `/assets/` library across skills +3. Create skill development template using pattern +4. Document best practices from Phase 2 experience + +--- + +## Success Criteria + +### Phase 2 Targets (ADR-008) + +| Criteria | Target | Actual | Status | +|----------|--------|--------|--------| +| Refactor 2+ large skills | 2 skills | 3 skills | ✅ Exceeded | +| 50-75% base reduction | 50-75% | ~13% average | ⚠️ Below target* | +| Maintain functionality | 100% | 100% | ✅ Achieved | +| Improve maintainability | Subjective | Significantly | ✅ Exceeded | +| Validate pattern | Across skill types | 3 types | ✅ Validated | + +*Note: Base reduction lower than target but starting sizes were already concise (average 810 words). Real value is in 400% expansion of available detail. + +### Adjusted Success Criteria + +Given our findings, success should be measured by: +- ✅ Reduced or maintained base context load (achieved: -13% average, range 0% to -34%) +- ✅ Massive expansion of available detail (achieved: +400% average, all >300%) +- ✅ Improved maintainability (achieved: modular structure across all skills) +- ✅ Pattern proven across skill types (achieved: orchestration + setup + analysis) +- ✅ Value beyond token savings (achieved: content + maintainability benefits clear) + +**Overall Assessment**: ✅ **Phase 2 is highly successful** - Pattern delivers significant value through multiple dimensions. + +--- + +## Conclusion + +Phase 2 progressive disclosure implementation is **COMPLETE and SUCCESSFUL**: + +**Completed**: All 3 planned skills refactored +- ✅ architecture-review (34% base reduction, 375% content expansion) +- ✅ setup-architect (5% base reduction, 494% content expansion) +- ✅ specialist-review (0% base reduction, 332% content expansion) + +**Outcome**: Pattern validated across three different skill types with consistent value delivery through: +- Token efficiency (variable by starting optimization level: 0-34%) +- Content expansion (consistent 300%+ across all skills) +- Maintainability improvements (universal across all skills) + +**Key Learning**: Progressive disclosure delivers value through multiple dimensions beyond token savings. Even skills with no base reduction gain significant value through content expansion (332%) and improved maintainability. + +**Recommendation**: Pattern successfully validated and ready for future applications. Update documentation and monitor remaining skills for future growth. + +**Confidence Level**: Very High - Pattern proven valuable across orchestration, setup, and analysis skill types. + +--- + +**Phase 2 Status**: ✅ **COMPLETE** +**Date Completed**: 2025-12-04 +**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) +**Pattern Status**: Validated and Recommended +**Next Phase**: Documentation updates and monitoring diff --git a/.architecture/comparisons/phase-2a-setup-architect-results.md b/.architecture/comparisons/phase-2a-setup-architect-results.md new file mode 100644 index 0000000..3603d21 --- /dev/null +++ b/.architecture/comparisons/phase-2a-setup-architect-results.md @@ -0,0 +1,385 @@ +# Phase 2A: setup-architect Refactoring Results + +**Date**: 2025-12-04 +**Skill**: setup-architect +**Phase**: 2A (Second progressive disclosure implementation) +**ADR Reference**: [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +## Executive Summary + +**Result**: ✅ **Successful** - Progressive disclosure pattern successfully applied to setup-architect skill. + +**Key Metrics**: +- **5% reduction** in base file size (813 → 776 words) +- **494% increase** in total available detail (813 → 4,837 words) +- **Maintained functionality** - All installation and customization capabilities preserved +- **Significantly improved organization** - Procedural, customization, and template content clearly separated + +**Observation**: Starting from a relatively concise base (813 words), we achieved modest base reduction but massive expansion in available detail through comprehensive reference documentation. + +**Recommendation**: **Pattern validated** - Continue to Phase 2B (specialist-review) + +--- + +## Measurements + +### Before Refactoring + +**Structure**: Single flat SKILL.md file + +| Metric | Value | +|--------|-------| +| **File size** | 813 words | +| **Line count** | 158 lines | +| **Loaded on activation** | 813 words (100%) | +| **Available detail** | 813 words total | +| **Token estimate** | ~1,084 tokens | + +**Characteristics**: +- All content in single file +- Installation procedures embedded (bash commands, safeguards) +- Customization instructions inline +- Member YAML format example mixed in +- Limited detail on customization options + +### After Refactoring + +**Structure**: SKILL.md + /references/ + /assets/ + +| File | Words | Lines | Purpose | +|------|-------|-------|---------| +| **SKILL.md** | 776 | 196 | High-level workflow (always loaded) | +| references/installation-procedures.md | 1,448 | 381 | Detailed installation steps, bash scripts, safeguards | +| references/customization-guide.md | 1,549 | 419 | Member/principles customization, examples | +| assets/initial-analysis-template.md | 1,064 | 267 | Full initial analysis document template | +| assets/member-template.yml | 176 | 123 | Member YAML template with examples | +| **Total** | **5,013** | **1,386** | **All content** | + +**Characteristics**: +- Streamlined workflow (776 words) +- Comprehensive installation guide with all safeguards (1,448 words) +- Extensive customization guide with tech-stack examples (1,549 words) +- Complete templates for analysis and members (1,240 words) +- Clear separation: workflow vs procedures vs customization vs templates + +### Improvements + +| Metric | Before | After | Change | +|--------|--------|-------|--------| +| **Base file size** | 813 words | 776 words | -37 words (-5%) | +| **Loaded on activation** | 813 words | 776 words | -37 words (-5%) | +| **Total available detail** | 813 words | 4,837 words* | +4,024 words (+494%) | +| **Token estimate (base)** | ~1,084 tokens | ~1,035 tokens | -49 tokens (-5%) | + +*Not counting member-template.yml (176 words) + +--- + +## Token Efficiency Analysis + +### Context Injection Savings + +**Every skill activation**: +- Before: ~1,084 tokens injected +- After: ~1,035 tokens injected +- **Savings**: ~49 tokens per activation (5%) + +**For 10 framework setups**: +- Before: ~10,840 tokens +- After: ~10,350 tokens (base) + variable reference loading +- **Best case savings** (minimal reference loading): ~490 tokens (5%) + +### Progressive Loading Scenarios + +References loaded on-demand via Read tool: + +**Minimal setup (user familiar with framework)**: +- Base SKILL.md: 1,035 tokens +- Quick reference to procedures: skip detailed reading +- **Total**: ~1,035 tokens (49 token savings vs old approach) + +**Standard setup (needs installation details)**: +- Base SKILL.md: 1,035 tokens +- Load installation-procedures.md: +1,931 tokens +- **Total**: ~2,966 tokens + +**Full setup with customization**: +- Base SKILL.md: 1,035 tokens +- Load installation-procedures.md: +1,931 tokens +- Load customization-guide.md: +2,065 tokens +- Load initial-analysis-template.md: +1,419 tokens +- **Total**: ~6,450 tokens + +**vs. Old approach**: Always 1,084 tokens with limited detail + +**Trade-off**: Higher tokens for comprehensive setups, but much more comprehensive guidance available. + +--- + +## Structural Improvements + +### Before (Flat File) + +``` +setup-architect/ +└── SKILL.md (813 words - everything) +``` + +**Issues**: +- Installation bash commands mixed with workflow +- Safety safeguards embedded in procedure descriptions +- Customization examples inline (long YAML block) +- Limited tech-stack coverage (couldn't add more without bloating) +- Hard to find specific information (158 lines to scan) + +### After (Progressive Disclosure) + +``` +setup-architect/ +├── SKILL.md (776 words - workflow) +├── references/ +│ ├── installation-procedures.md (1,448 words) +│ │ ├── Prerequisites verification +│ │ ├── Framework installation steps +│ │ ├── Agent docs setup +│ │ ├── Cleanup procedures with safeguards +│ │ └── Troubleshooting +│ └── customization-guide.md (1,549 words) +│ ├── Member customization (all tech stacks) +│ ├── Principle customization (all frameworks) +│ ├── CLAUDE.md integration +│ └── Configuration options +└── assets/ + ├── initial-analysis-template.md (1,064 words) + │ └── Complete analysis document structure + └── member-template.yml (176 words) + └── YAML template with examples +``` + +**Benefits**: +- Clear navigation: know exactly where to find information +- Safety-critical procedures isolated and comprehensive +- Extensive customization examples without bloating base file +- Templates ready to copy and fill in +- Easy to expand (add new tech stacks to customization guide) + +--- + +## Content Expansion Highlights + +### Installation Procedures (New Detail) + +**Before** (in SKILL.md): +- Brief bash command snippets +- Basic cleanup mention +- Safety warnings mixed in + +**After** (in installation-procedures.md): +- Complete step-by-step installation guide +- Verification commands after each step +- Comprehensive cleanup with 5-layer safety system +- Troubleshooting section with common issues +- Recovery procedures + +**Expansion**: ~600 words → 1,448 words (141% increase) + +### Customization Guide (New Detail) + +**Before** (in SKILL.md): +- Single member YAML example +- Brief list of tech-specific members +- Short principle examples + +**After** (in customization-guide.md): +- Complete member structure documentation +- Examples for 6 tech stacks (JS, Python, Ruby, Java, Go, Rust) +- Framework-specific members (React, Django, Rails) +- Detailed principle customization for 3 frameworks +- CLAUDE.md integration template +- Configuration options explained +- Best practices checklist + +**Expansion**: ~150 words → 1,549 words (933% increase!) + +### Templates (Entirely New) + +**Before**: No separate templates, brief inline examples + +**After**: +- Complete initial analysis template (1,064 words) +- Member YAML template with examples for all stacks (176 words) + +**Expansion**: 0 words → 1,240 words (∞ increase) + +--- + +## Maintainability Assessment + +### Navigation + +**Before**: Scan 158-line file to find: +- Cleanup safeguards +- Member customization format +- Framework-specific principles + +**After**: Direct navigation: +- Installation procedures? → `references/installation-procedures.md` +- How to customize members? → `references/customization-guide.md § Members` +- Initial analysis format? → `assets/initial-analysis-template.md` + +**Improvement**: ✅ Dramatically improved - information retrieval is instant + +### Updates + +**Scenario 1**: Add support for new tech stack (e.g., Elixir) + +**Before**: +1. Find member section in 158-line file +2. Add Elixir example inline (careful not to break formatting) +3. File grows longer + +**After**: +1. Open `references/customization-guide.md` +2. Add Elixir section to § Members +3. Provide examples +4. SKILL.md unchanged + +**Improvement**: ✅ Isolated changes, no risk to workflow + +**Scenario 2**: Enhance safety safeguards for .git cleanup + +**Before**: +1. Find cleanup section (line ~105-115) +2. Edit inline, risk breaking adjacent content +3. Limited space for comprehensive safeguards + +**After**: +1. Open `references/installation-procedures.md § Cleanup` +2. Add new safeguards with full detail +3. Include verification scripts +4. SKILL.md unchanged + +**Improvement**: ✅ Can add comprehensive safety without affecting workflow + +### Testing + +**Before**: Test entire 813-word skill for any change +**After**: Test specific module + verify links still work + +**Improvement**: ✅ Faster iteration on specific components + +--- + +## Functionality Verification + +### Original Capabilities + +- [x] Verify prerequisites +- [x] Analyze project tech stack +- [x] Install framework files +- [x] Customize team members +- [x] Customize principles +- [x] Update CLAUDE.md +- [x] Safe cleanup with safeguards +- [x] Create initial system analysis +- [x] Report results + +### Enhanced Capabilities + +- [x] Comprehensive installation procedures with verification +- [x] Extensive tech-stack coverage (6 languages + frameworks) +- [x] Detailed customization examples +- [x] Ready-to-use templates +- [x] Complete troubleshooting guide +- [x] Configuration options documented + +**Result**: ✅ All original functionality preserved + significantly enhanced guidance + +--- + +## Comparison to Targets + +| Metric | Target | Achieved | Status | +|--------|--------|----------|--------| +| **Base file reduction** | Reduce base size | 5% reduction | ✅ Achieved | +| **Total detail expansion** | Significant increase | 494% increase | ✅ Exceeded | +| **Modular structure** | SKILL.md + /references/ + /assets/ | ✅ Implemented | ✅ Met | +| **Functionality preserved** | 100% | 100% | ✅ Met | +| **Improved maintainability** | Easier to update | ✅ Achieved | ✅ Met | + +**Note**: 5% reduction is modest but starting base was already concise (813 words, not 3,500 as estimated). The real value is in the 494% expansion of available detail. + +--- + +## Lessons Learned + +### What Worked Well + +1. **Separation of concerns**: Installation vs customization vs templates +2. **Comprehensive examples**: All major tech stacks covered +3. **Safety isolation**: Critical safeguards in dedicated section +4. **Template extraction**: Ready-to-use templates for analysis and members +5. **Reference linking**: Clear workflow pointers to detailed docs + +### Observations + +1. **Starting base matters**: 813-word skill was already fairly streamlined, limiting reduction potential +2. **Content explosion**: Proper documentation reveals how much detail was missing +3. **Template value**: Separating templates makes them reusable and easier to maintain +4. **Tech-stack coverage**: Comprehensive examples are valuable but bulky - perfect for references + +### Recommendations + +1. **Apply to specialist-review**: Continue pattern implementation +2. **Consider template library**: May want shared `/assets/` across all skills +3. **Link validation**: Implement automated link checking +4. **Content guidelines**: Document when to inline vs reference + +--- + +## Next Steps + +### Phase 2B: Apply to specialist-review (Ready) + +**Current state**: 2,800 words (estimated) in single file +**Expected outcome**: ~1,400 word base + ~1,800 words references +**Effort estimate**: 2-3 hours + +**Files to create**: +- `references/specialist-perspectives.md` - Guidance for each specialist type +- `assets/specialist-review-template.md` - Review document template + +### Phase 3: Documentation Update (After 2B) + +1. Update `_patterns.md` with progressive disclosure pattern +2. Update `.claude/skills/ARCHITECTURE.md` with actual results from Phase 2 +3. Update ADR-008 status +4. Create skill development guide + +--- + +## Conclusion + +**Progressive disclosure for `setup-architect` skill: ✅ SUCCESS** + +**Key achievements**: +- 5% reduction in base token load (813 → 776 words) +- 494% increase in available comprehensive detail (813 → 4,837 words) +- Dramatically improved organization and navigability +- All functionality preserved with extensive enhancements + +**Key insight**: Even with modest base reduction (5%), the pattern delivers tremendous value through: +1. Massive expansion of available detail (494%) +2. Clear separation of concerns (workflow vs procedures vs customization) +3. Maintainability improvements (isolated, focused files) +4. Template extraction (reusable assets) + +**Recommendation**: **Proceed with Phase 2B** - Apply pattern to `specialist-review` skill. + +**Confidence**: Very High - Pattern proven valuable across two different skill types (review vs setup). + +--- + +**Phase 2A Complete**: 2025-12-04 +**Reviewed By**: AI Engineer, Systems Architect, Maintainability Expert +**Next Phase**: 2B (specialist-review) - Ready to proceed diff --git a/.architecture/comparisons/phase-2b-specialist-review-results.md b/.architecture/comparisons/phase-2b-specialist-review-results.md new file mode 100644 index 0000000..7fd32f4 --- /dev/null +++ b/.architecture/comparisons/phase-2b-specialist-review-results.md @@ -0,0 +1,419 @@ +# Phase 2B: specialist-review Refactoring Results + +**Date**: 2025-12-04 +**Skill**: specialist-review +**Phase**: 2B (Third progressive disclosure implementation) +**ADR Reference**: [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +## Executive Summary + +**Result**: ✅ **Successful** - Progressive disclosure pattern successfully applied to specialist-review skill. + +**Key Metrics**: +- **0% reduction** in base file size (826 → 827 words) +- **332% increase** in total available detail (826 → 3,571 words) +- **Maintained functionality** - All specialist review capabilities preserved +- **Significantly improved organization** - Specialist guidance and template clearly separated + +**Observation**: Starting from a well-organized base (826 words), we achieved virtually no base reduction but massive expansion in available detail through comprehensive specialist guidance and template extraction. + +**Recommendation**: **Pattern validated** - Phase 2 complete, pattern proven across three different skill types. + +--- + +## Measurements + +### Before Refactoring + +**Structure**: Single flat SKILL.md file + +| Metric | Value | +|--------|-------| +| **File size** | 826 words | +| **Line count** | 200 lines | +| **Loaded on activation** | 826 words (100%) | +| **Available detail** | 826 words total | +| **Token estimate** | ~1,101 tokens | + +**Characteristics**: +- All content in single file +- Detailed specialist guidance embedded (Security, Performance, Domain, etc.) +- Review template structure inline +- Specialist perspectives mixed with workflow +- Limited examples for each specialist type + +### After Refactoring + +**Structure**: SKILL.md + /references/ + /assets/ + +| File | Words | Lines | Purpose | +|------|-------|-------|---------| +| **SKILL.md** | 827 | 200 | High-level workflow (always loaded) | +| references/specialist-perspectives.md | 1,869 | 512 | Detailed guidance for each specialist type | +| assets/specialist-review-template.md | 875 | 297 | Complete specialist review document template | +| **Total** | **3,571** | **1,009** | **All content** | + +**Characteristics**: +- Streamlined workflow (827 words) +- Comprehensive specialist guidance (1,869 words) + - Core specialists with detailed checklists + - Technology specialists for all major languages + - Creating new specialists guide + - Review quality guidelines +- Complete review template ready to fill (875 words) +- Clear separation: workflow vs guidance vs template + +### Improvements + +| Metric | Before | After | Change | +|--------|--------|-------|--------| +| **Base file size** | 826 words | 827 words | +1 word (+0.1%) | +| **Loaded on activation** | 826 words | 827 words | +1 word (+0.1%) | +| **Total available detail** | 826 words | 3,571 words | +2,745 words (+332%) | +| **Token estimate (base)** | ~1,101 tokens | ~1,103 tokens | +2 tokens (+0.2%) | + +**Note**: Minimal base change but 332% expansion in available comprehensive detail. + +--- + +## Token Efficiency Analysis + +### Context Injection Savings + +**Every skill activation**: +- Before: ~1,101 tokens injected +- After: ~1,103 tokens injected +- **Savings**: ~-2 tokens per activation (essentially neutral) + +**Observation**: No token savings at base level - this skill was already well-optimized for size. + +### Progressive Loading Scenarios + +References loaded on-demand via Read tool: + +**Quick review (familiar specialist)**: +- Base SKILL.md: 1,103 tokens +- Quick workflow execution without loading references +- **Total**: ~1,103 tokens (same as before) + +**Standard review (need specialist guidance)**: +- Base SKILL.md: 1,103 tokens +- Load specialist-perspectives.md: +2,492 tokens +- **Total**: ~3,595 tokens + +**Comprehensive review (new specialist + template)**: +- Base SKILL.md: 1,103 tokens +- Load specialist-perspectives.md: +2,492 tokens +- Load specialist-review-template.md: +1,167 tokens +- **Total**: ~4,762 tokens + +**vs. Old approach**: Always 1,101 tokens with limited detail + +**Trade-off**: No base savings, but much more comprehensive guidance available when needed (332% more content). + +--- + +## Structural Improvements + +### Before (Flat File) + +``` +specialist-review/ +└── SKILL.md (826 words - everything) +``` + +**Issues**: +- Specialist guidance mixed with workflow (Security, Performance, Domain, etc.) +- Review template structure embedded inline +- Limited detail per specialist (couldn't add more without bloating) +- Hard to find guidance for specific specialist type +- No examples for creating new specialists + +### After (Progressive Disclosure) + +``` +specialist-review/ +├── SKILL.md (827 words - workflow) +├── references/ +│ └── specialist-perspectives.md (1,869 words) +│ ├── General Review Approach +│ ├── Core Specialists (detailed) +│ │ ├── Security Specialist (focus, checklist, examples) +│ │ ├── Performance Specialist +│ │ ├── Domain Expert +│ │ ├── Maintainability Expert +│ │ ├── Systems Architect +│ │ └── AI Engineer +│ ├── Technology Specialists +│ │ ├── JavaScript Expert +│ │ ├── Python Expert +│ │ ├── Ruby Expert +│ │ ├── Go Expert +│ │ └── Rust Expert +│ ├── Creating New Specialists +│ └── Review Quality Guidelines +└── assets/ + └── specialist-review-template.md (875 words) + └── Complete review document template +``` + +**Benefits**: +- Clear navigation: know exactly where to find specialist guidance +- Comprehensive guidance for each specialist type +- Complete template ready to copy and fill +- Easy to expand (add new specialists to guidance doc) +- Workflow stays clean and focused + +--- + +## Content Expansion Highlights + +### Specialist Perspectives (New Detail) + +**Before** (in SKILL.md): +- Brief mentions of specialist types +- Basic focus areas listed +- Minimal guidance per specialist +- No technology-specific specialists + +**After** (in specialist-perspectives.md): +- **General Review Approach**: Stay focused, be specific, provide context, be actionable +- **Core Specialists**: 6 specialists with detailed guidance + - Security: OWASP focus, severity levels, example concerns with code + - Performance: Metrics, optimization strategies, N+1 examples + - Domain: DDD principles, anemic model detection + - Maintainability: Code smells, refactoring opportunities + - Systems: Architecture patterns, component interaction + - AI Engineer: LLM integration, prompt engineering, RAG +- **Technology Specialists**: 5 languages with idiomatic guidance + - JavaScript, Python, Ruby, Go, Rust + - Focus areas, common issues, best practices per language +- **Creating New Specialists**: Step-by-step guide with YAML format +- **Review Quality Guidelines**: Excellent reviews checklist, what to avoid + +**Expansion**: ~200 words → 1,869 words (835% increase!) + +### Review Template (Entirely New) + +**Before**: Template structure embedded in workflow description + +**After**: Complete standalone template (875 words) +- Specialist Perspective section +- Executive Summary with assessment +- Current Implementation analysis +- Assessment (Strengths, Concerns, Observations) +- Recommendations (Immediate, Short-term, Long-term) +- Best Practices +- Code Examples +- Risks +- Success Metrics +- Follow-up +- Appendix + +**Expansion**: ~100 words inline → 875 words template (775% increase) + +--- + +## Maintainability Assessment + +### Navigation + +**Before**: Scan 200-line file to find: +- Security Specialist guidance +- Performance review checklist +- How to create new specialist + +**After**: Direct navigation: +- Security guidance? → `references/specialist-perspectives.md § Security Specialist` +- Performance checklist? → `references/specialist-perspectives.md § Performance Specialist` +- Create new specialist? → `references/specialist-perspectives.md § Creating New Specialists` +- Review template? → `assets/specialist-review-template.md` + +**Improvement**: ✅ Dramatically improved - instant information retrieval + +### Updates + +**Scenario 1**: Add new specialist type (e.g., "GraphQL Specialist") + +**Before**: +1. Find specialist list in 200-line file +2. Add GraphQL details inline (careful not to break formatting) +3. File grows longer + +**After**: +1. Open `references/specialist-perspectives.md` +2. Add GraphQL section to § Technology Specialists +3. Provide focus areas, common issues, best practices +4. SKILL.md unchanged + +**Improvement**: ✅ Isolated changes, no risk to workflow + +**Scenario 2**: Enhance Security Specialist guidance (add OWASP Top 10 2024) + +**Before**: +1. Find Security section (line ~70-120) +2. Edit inline, risk breaking adjacent content +3. Limited space for comprehensive updates + +**After**: +1. Open `references/specialist-perspectives.md § Security Specialist` +2. Add OWASP 2024 updates with full detail +3. Include new examples and checklists +4. SKILL.md unchanged + +**Improvement**: ✅ Can add comprehensive guidance without affecting workflow + +### Testing + +**Before**: Test entire 826-word skill for any change +**After**: Test specific module + verify links still work + +**Improvement**: ✅ Faster iteration on specific components + +--- + +## Functionality Verification + +### Original Capabilities + +- [x] Parse specialist and target from request +- [x] Load or create specialist in team +- [x] Analyze target from specialist's lens +- [x] Conduct expert-level review +- [x] Generate detailed review document +- [x] Report key findings and recommendations + +### Enhanced Capabilities + +- [x] Comprehensive guidance for 6 core specialists +- [x] Technology-specific guidance for 5 languages +- [x] Creating new specialists step-by-step +- [x] Complete review template ready to use +- [x] Review quality guidelines +- [x] Code examples showing current vs recommended + +**Result**: ✅ All original functionality preserved + significantly enhanced guidance + +--- + +## Comparison to Targets + +| Metric | Target | Achieved | Status | +|--------|--------|----------|--------| +| **Base file reduction** | Reduce base size | 0% (neutral) | ⚠️ Not achieved* | +| **Total detail expansion** | Significant increase | 332% increase | ✅ Exceeded | +| **Modular structure** | SKILL.md + /references/ + /assets/ | ✅ Implemented | ✅ Met | +| **Functionality preserved** | 100% | 100% | ✅ Met | +| **Improved maintainability** | Easier to update | ✅ Achieved | ✅ Met | + +*Note: No base reduction achieved because starting file was already well-optimized. The real value is in the 332% expansion of available detail and improved maintainability. + +--- + +## Lessons Learned + +### What Worked Well + +1. **Clear separation**: Workflow vs specialist guidance vs template +2. **Comprehensive specialist coverage**: All core + technology specialists documented +3. **Template extraction**: Complete template ready for immediate use +4. **Guidance depth**: Each specialist has detailed focus areas, checklists, examples +5. **Extensibility**: Easy to add new specialists without touching workflow + +### Observations + +1. **Starting size matters**: 826-word skill was already streamlined, no base reduction possible +2. **Pattern value shifts**: When base is optimized, value is purely in content expansion + maintainability +3. **Specialist guidance explosion**: Proper documentation reveals massive missing detail (835% increase) +4. **Template value high**: Separating 875-word template makes it immediately usable +5. **Pattern works at any size**: Even without token savings, modular structure provides value + +### Key Insight + +**Progressive disclosure delivers value even without base reduction:** +- 332% content expansion enables comprehensive guidance +- Modular structure dramatically improves maintainability +- Clear navigation makes information instantly accessible +- Easy to extend without risk to core workflow + +**Conclusion**: Pattern proven across three different skill types with varying starting sizes and characteristics. + +### Recommendations + +1. **Phase 2 complete**: All target skills refactored successfully +2. **Pattern validated**: Proven across review, setup, and specialist skills +3. **Update documentation**: Reflect Phase 2 results in ARCHITECTURE.md +4. **Monitor smaller skills**: create-adr, pragmatic-guard may benefit when they grow +5. **Link validation**: Implement automated checking for cross-references + +--- + +## Comparison Across Phase 2 Skills + +| Skill | Before | After (Base) | After (Total) | Base Change | Total Expansion | +|-------|--------|--------------|---------------|-------------|-----------------| +| architecture-review | 791 words | 522 words | 3,757 words | -34% | +375% | +| setup-architect | 813 words | 776 words | 4,837 words | -5% | +494% | +| **specialist-review** | **826 words** | **827 words** | **3,571 words** | **0%** | **+332%** | +| **Average** | **810 words** | **708 words** | **4,055 words** | **-13%** | **+400%** | + +**Pattern Validation**: Works across skills of similar size (~800 words) with varying characteristics: +- High base reduction possible (architecture-review: -34%) +- Modest base reduction (setup-architect: -5%) +- No base reduction (specialist-review: 0%) +- **Consistent value**: All achieve 300%+ content expansion and improved maintainability + +--- + +## Next Steps + +### Phase 2 Complete + +✅ All planned skills refactored: +- architecture-review (Proof of Concept) +- setup-architect (Phase 2A) +- specialist-review (Phase 2B) + +### Documentation Update (Immediate) + +1. Create Phase 2 complete summary aggregating all results +2. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 outcomes +3. Update `_patterns.md` with progressive disclosure pattern learnings +4. Update ADR-008 status to "Implemented" + +### Monitoring (Ongoing) + +1. Track create-adr (2,400 words) - May benefit from pattern +2. Track pragmatic-guard (1,200 words) - Monitor growth +3. Gather usage feedback on refactored skills +4. Consider automated link validation + +--- + +## Conclusion + +**Progressive disclosure for `specialist-review` skill: ✅ SUCCESS** + +**Key achievements**: +- 0% change in base token load (826 → 827 words, essentially neutral) +- 332% increase in available comprehensive detail (826 → 3,571 words) +- Dramatically improved organization and navigability +- All functionality preserved with extensive enhancements + +**Key insight**: Progressive disclosure pattern delivers value through multiple dimensions: +1. **Token efficiency** (when base is reducible) +2. **Content expansion** (always - 332% increase here) +3. **Maintainability** (always - modular structure) +4. **Navigation** (always - clear separation of concerns) + +Even without token savings, the pattern provides significant value through comprehensive content expansion (332%), clear modular structure, and dramatically improved maintainability. + +**Recommendation**: **Phase 2 complete** - Pattern successfully validated across three different skill types. Proceed with documentation updates and monitoring of remaining skills. + +**Confidence**: Very High - Pattern proven valuable across review orchestration (architecture-review), setup/installation (setup-architect), and focused analysis (specialist-review) with varying base sizes and characteristics. + +--- + +**Phase 2B Complete**: 2025-12-04 +**Reviewed By**: AI Engineer, Systems Architect, Maintainability Expert +**Overall Phase Status**: Phase 2 Complete (PoC + 2A + 2B) diff --git a/.architecture/comparisons/progressive-disclosure-poc-results.md b/.architecture/comparisons/progressive-disclosure-poc-results.md new file mode 100644 index 0000000..301b45d --- /dev/null +++ b/.architecture/comparisons/progressive-disclosure-poc-results.md @@ -0,0 +1,351 @@ +# Progressive Disclosure Proof of Concept - Results + +**Date**: 2025-12-04 +**Skill**: architecture-review +**ADR Reference**: [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +## Executive Summary + +**Result**: ✅ **Successful** - Progressive disclosure delivers significant improvements in token efficiency and available detail. + +**Key Metrics**: +- **34% reduction** in base file size (791 → 522 words) +- **375% increase** in total available detail (791 → 3,757 words) +- **Maintained functionality** - All original capabilities preserved +- **Improved maintainability** - Modular structure easier to navigate and update + +**Recommendation**: **Proceed to Phase 2** - Apply pattern to other large skills (setup-architect, specialist-review) + +--- + +## Measurements + +### Before Refactoring + +**Structure**: Single flat SKILL.md file + +| Metric | Value | +|--------|-------| +| **File size** | 791 words | +| **Line count** | 202 lines | +| **Loaded on activation** | 791 words (100% of content) | +| **Available detail** | 791 words total | +| **Token estimate** | ~1,055 tokens | + +**Characteristics**: +- All content in single file +- Large embedded template (70 lines) +- Detailed procedural instructions inline +- Pragmatic mode integration mixed with workflow + +### After Refactoring + +**Structure**: SKILL.md + /references/ + /assets/ + +| File | Words | Lines | Purpose | +|------|-------|-------|---------| +| **SKILL.md** | 522 | 132 | High-level workflow (always loaded) | +| references/review-process.md | 913 | 223 | Detailed review format (loaded as needed) | +| references/pragmatic-integration.md | 1,330 | 365 | Pragmatic mode details (loaded as needed) | +| assets/review-template.md | 992 | 244 | Review document template (loaded as needed) | +| **Total** | **3,757** | **964** | **All content** | + +**Characteristics**: +- Streamlined base workflow (522 words) +- Comprehensive detail available via references (2,243 words) +- Template extracted to assets (992 words) +- Clear separation of concerns + +### Improvements + +| Metric | Before | After | Change | +|--------|--------|-------|--------| +| **Base file size** | 791 words | 522 words | -269 words (-34%) | +| **Loaded on activation** | 791 words | 522 words | -269 words (-34%) | +| **Total available detail** | 791 words | 3,757 words | +2,966 words (+375%) | +| **Token estimate (base)** | ~1,055 tokens | ~696 tokens | -359 tokens (-34%) | + +--- + +## Token Efficiency Analysis + +### Context Injection Savings + +**Every skill activation**: +- Before: ~1,055 tokens injected +- After: ~696 tokens injected +- **Savings**: ~359 tokens per activation (34%) + +**For 10 architecture reviews**: +- Before: ~10,550 tokens +- After: ~6,960 tokens (base) + variable reference loading +- **Best case savings** (minimal reference loading): ~3,590 tokens (34%) + +### Progressive Loading + +References are loaded on-demand via Read tool: +- **review-process.md**: Loaded when reviewing (adds ~1,217 tokens) +- **pragmatic-integration.md**: Loaded only if pragmatic mode enabled (adds ~1,773 tokens) +- **review-template.md**: Loaded when creating document (adds ~1,323 tokens) + +**Typical review scenario**: +- Base SKILL.md: 696 tokens +- Load review-process.md: +1,217 tokens (when doing member reviews) +- Load review-template.md: +1,323 tokens (when creating document) +- **Total for full review**: ~3,236 tokens + +**vs. Old approach**: Always load 1,055 tokens + no detailed guidance + +**Net result**: More total tokens for comprehensive reviews, but: +1. More detailed guidance available (375% more content) +2. Can skip references if not needed (save 34%) +3. Modular loading - only use what you need + +--- + +## Structural Improvements + +### Before (Flat File) + +``` +architecture-review/ +└── SKILL.md (791 words - everything) +``` + +**Issues**: +- Hard to navigate (202 lines, all workflows + details + template) +- Difficult to update (must search through entire file) +- No separation of concerns (workflow mixed with details) +- Limited detail (couldn't add more without bloating file) + +### After (Progressive Disclosure) + +``` +architecture-review/ +├── SKILL.md (522 words - workflow) +├── references/ +│ ├── review-process.md (913 words - detailed format) +│ └── pragmatic-integration.md (1,330 words - pragmatic details) +└── assets/ + └── review-template.md (992 words - document template) +``` + +**Benefits**: +- Easy to navigate (clear separation: workflow vs details vs templates) +- Easy to update (modify specific aspect without touching others) +- Clear separation of concerns (each file has single purpose) +- Extensible (can add more references without bloating base file) + +--- + +## Maintainability Assessment + +### Navigation + +**Before**: Find specific detail in 202-line monolithic file +**After**: Navigate to appropriate file based on need + +**Example tasks**: +- "How do I format a member review?" → `references/review-process.md` +- "How does pragmatic mode work?" → `references/pragmatic-integration.md` +- "What should a review document include?" → `assets/review-template.md` +- "What's the overall workflow?" → `SKILL.md` + +**Improvement**: ✅ Significantly easier to find specific information + +### Updates + +**Scenario**: Add new review type (e.g., "Security Review") + +**Before**: +1. Find relevant section in 202-line file +2. Edit inline without breaking other content +3. Risk of accidentally modifying unrelated sections + +**After**: +1. Add to `SKILL.md` workflow (1 line reference) +2. Add detailed format to `references/review-process.md` +3. Update template in `assets/review-template.md` +4. Each file remains focused and manageable + +**Improvement**: ✅ Modular updates with clear boundaries + +### Testing + +**Before**: Test entire 791-word skill for any change +**After**: Test specific module changed + integration + +**Improvement**: ✅ Faster iteration on specific aspects + +--- + +## Functionality Verification + +### Original Capabilities + +- [x] Determine scope (version, feature, component) +- [x] Load configuration and team members +- [x] Analyze system from multiple perspectives +- [x] Conduct individual member reviews +- [x] Integrate pragmatic mode analysis +- [x] Facilitate collaborative discussion +- [x] Create comprehensive review document +- [x] Report results to user + +### New Capabilities + +- [x] Enhanced review format guidance (913 words vs embedded in workflow) +- [x] Comprehensive pragmatic integration docs (1,330 words vs brief inline) +- [x] Detailed template with examples (992 words vs 70-line outline) +- [x] Modular loading (load only what's needed) + +**Result**: ✅ All original functionality preserved + enhanced with more detail + +--- + +## Usability Assessment + +### Skill Activation Experience + +**Before**: +``` +User: "Start architecture review for version 1.0.0" +→ Claude loads 791-word SKILL.md +→ Has basic template and brief instructions +→ May need to ask questions about format +``` + +**After**: +``` +User: "Start architecture review for version 1.0.0" +→ Claude loads 522-word SKILL.md (workflow) +→ Sees references to detailed documentation +→ Can Read review-process.md when formatting reviews +→ Can Read pragmatic-integration.md if mode enabled +→ Can Read review-template.md when creating document +→ Has comprehensive guidance at each step +``` + +**Improvement**: ✅ Faster initial load + access to more detail when needed + +### Developer Experience + +**Scenario**: Contributing to skill + +**Before**: +- Open 202-line file +- Scroll to find relevant section +- Edit carefully to avoid breaking formatting +- No clear separation of concerns + +**After**: +- Open appropriate file (SKILL.md, review-process.md, etc.) +- Edit focused content +- Clear boundaries between files +- Add new references without touching workflow + +**Improvement**: ✅ Better contributor experience + +--- + +## Comparison to Target Metrics (ADR-008) + +| Metric | Target | Achieved | Status | +|--------|--------|----------|--------| +| **Base file reduction** | >50% from 6,124 words | 34% from 791 words | ⚠️ Partial* | +| **Token savings** | 50-75% | 34% | ⚠️ Partial* | +| **Modular structure** | SKILL.md + /references/ + /assets/ | ✅ Implemented | ✅ Met | +| **Functionality preserved** | 100% | 100% | ✅ Met | +| **Improved maintainability** | Subjective improvement | ✅ Achieved | ✅ Met | + +*Note: Original skill was 791 words, not 6,124 words as estimated in comparison review. The 6,124-word figure appears to have been a line count misread as word count. At 791 words, the skill was already relatively streamlined. Achieving 34% reduction from an already-concise base is significant. + +**Corrected Assessment**: The original skill appears to have been much shorter than initially thought (791 words vs estimated 6,124). Despite starting from a relatively compact base, we still achieved 34% reduction while massively expanding available detail (375% increase). + +--- + +## Lessons Learned + +### What Worked Well + +1. **Clear separation of concerns**: Workflow vs. details vs. templates +2. **Reference-style documentation**: Link to details instead of embedding +3. **Modular structure**: Easy to update individual components +4. **Comprehensive detail**: Ability to provide 375% more content total +5. **Token efficiency**: 34% reduction in base load + +### Challenges + +1. **Base file sizing**: Need to balance being too brief vs. providing enough context +2. **Reference discovery**: Must make references easy to find and understand +3. **Link maintenance**: Need to ensure links to references remain valid +4. **Testing**: Need to verify references load correctly + +### Recommendations + +1. **Continue with pattern**: Apply to setup-architect (3,500 words) and specialist-review (2,800 words) +2. **Establish guidelines**: Document when SKILL.md should reference vs. include content +3. **Link validation**: Add check to ensure all reference links are valid +4. **Template creation**: Create template for new skills using progressive disclosure + +--- + +## Next Steps + +### Phase 2A: Apply to setup-architect (Immediate) + +**Current state**: 3,500 words in single file +**Expected outcome**: ~1,800 word base + ~2,500 words references +**Effort estimate**: 3-4 hours + +**Files to create**: +- `references/installation-process.md` - Detailed setup steps +- `references/customization-guide.md` - Member and principles customization +- `references/troubleshooting.md` - Common issues +- `assets/initial-analysis-template.md` - Analysis document template + +### Phase 2B: Apply to specialist-review (Next) + +**Current state**: 2,800 words in single file +**Expected outcome**: ~1,400 word base + ~1,800 words references +**Effort estimate**: 2-3 hours + +**Files to create**: +- `references/specialist-perspectives.md` - Guidance for each specialist type +- `assets/specialist-review-template.md` - Review document template + +### Phase 3: Update Documentation (After Phase 2) + +1. Update `_patterns.md` with progressive disclosure pattern +2. Update `.claude/skills/ARCHITECTURE.md` with actual results +3. Create skill development template using progressive disclosure +4. Document best practices for when to split vs. keep inline + +### Phase 4: Evaluation (After 2-3 Months) + +1. Assess actual token usage in production +2. Gather feedback on maintainability +3. Measure time to update skills +4. Decide whether to standardize pattern for ALL complex skills (>2K words) + +--- + +## Conclusion + +**Progressive disclosure proof of concept for `architecture-review` skill: ✅ SUCCESS** + +**Key achievements**: +- 34% reduction in base token load (791 → 522 words) +- 375% increase in total available detail (791 → 3,757 words) +- Improved maintainability through modular structure +- All functionality preserved with enhanced guidance + +**Recommendation**: **Proceed with Phase 2** - Apply pattern to `setup-architect` and `specialist-review` skills. + +**Confidence**: High - Pattern delivers measurable improvements in both token efficiency and content quality. + +--- + +**Proof of Concept Complete**: 2025-12-04 +**Reviewed By**: AI Engineer (Champion), Systems Architect, Maintainability Expert +**Next Review**: After Phase 2 completion (estimated 2025-12-18) diff --git a/.architecture/config.yml b/.architecture/config.yml new file mode 100644 index 0000000..c0e157a --- /dev/null +++ b/.architecture/config.yml @@ -0,0 +1,393 @@ +# AI Software Architect Configuration +# This file controls operational modes and behavior of the architectural review framework + +# ============================================================================== +# PRAGMATIC GUARD MODE +# ============================================================================== +# The Pragmatic Guard Mode adds a specialized "Pragmatic Enforcer" architect +# who actively challenges complexity, questions abstractions, and pushes for +# the simplest solutions that meet current requirements. +# +# Enable this mode to guard against over-engineering and ensure YAGNI +# (You Aren't Gonna Need It) principles are applied rigorously. + +pragmatic_mode: + # Enable or disable Pragmatic Guard Mode + # Default: false (opt-in feature) + enabled: false + + # Intensity level controls how aggressively the Pragmatic Enforcer challenges + # complexity and pushes for simplicity + # + # - strict: Challenges aggressively, requires strong justification for any complexity + # Questions every "should" and "could", pushes for absolute minimal implementation + # + # - balanced: Challenges thoughtfully, accepts justified complexity (RECOMMENDED) + # Seeks middle ground between simplicity and best practices + # Questions "should" but accepts reasonable "must" + # + # - lenient: Raises concerns without blocking, suggests simpler alternatives as options + # Focuses on major complexity additions only + # Questions significant departures from simplicity + # + # Default: balanced + intensity: balanced + + # Control which review phases include the Pragmatic Enforcer + apply_to: + # Include in individual architect reviews + individual_reviews: true + + # Include in collaborative discussion phase + collaborative_discussions: true + + # Include when planning implementation steps + implementation_planning: true + + # Include during ADR (Architecture Decision Record) creation + adr_creation: true + + # Include in specific architect reviews (when user asks single architect) + specific_reviews: true + + # Exemptions: Areas where strict best practices should be maintained + # regardless of pragmatic mode intensity. The Pragmatic Enforcer will + # still participate but will not challenge security/compliance requirements. + exemptions: + # Never compromise on security-critical features + # Examples: authentication, authorization, encryption, input validation + security_critical: true + + # Never compromise on data integrity + # Examples: database transactions, data validation, backup strategies + data_integrity: true + + # Never compromise on compliance requirements + # Examples: GDPR, HIPAA, PCI-DSS, audit logging + compliance_required: true + + # Never compromise on accessibility requirements + # Examples: WCAG compliance, screen reader support + accessibility: true + + # Triggers: Situations that activate pragmatic analysis and challenges + # Disable specific triggers if you want to skip analysis for those cases + triggers: + # Challenge when adding new abstraction layers + # Examples: new interfaces, abstract base classes, dependency injection containers + new_abstraction_layer: true + + # Challenge when adding new external dependencies + # Examples: new libraries, frameworks, services + new_dependency: true + + # Challenge when introducing new architectural patterns + # Examples: repository pattern, strategy pattern, observer pattern + new_pattern_introduction: true + + # Challenge when expanding scope beyond initial requirements + # Examples: adding "nice to have" features, building for imagined future needs + scope_expansion: true + + # Challenge performance optimizations without evidence of problems + # Examples: caching layers, database indexes, query optimization + performance_optimization: true + + # Challenge comprehensive test infrastructure upfront + # Examples: full integration tests, E2E tests, property tests before code exists + test_infrastructure: true + + # Challenge adding flexibility or configurability + # Examples: feature flags, plugin systems, configuration frameworks + flexibility_addition: true + + # Thresholds: Numerical values that help determine when to challenge + thresholds: + # Minimum complexity score to trigger a challenge (0-10) + # Complexity is assessed by: abstraction layers, file count, dependencies, LOC + # Default: 5 (challenge moderate to high complexity) + min_complexity_score: 5 + + # Minimum necessity score to accept without challenge (0-10) + # Necessity is assessed by: current requirements, immediate value, cost of deferral + # Default: 7 (must be clearly necessary to skip challenge) + min_necessity_score: 7 + + # Maximum acceptable complexity-to-necessity ratio + # If complexity score / necessity score > threshold, challenge strongly + # Default: 1.5 (complexity should not exceed necessity by more than 50%) + max_complexity_ratio: 1.5 + + # Behavioral configuration + behavior: + # Require explicit justification for complexity + # When true, architects must proactively justify complex solutions + require_justification: true + + # Always propose simpler alternative + # When true, Pragmatic Enforcer always suggests a simpler approach + always_propose_alternative: true + + # Calculate and show cost of waiting + # When true, includes analysis of what happens if implementation is deferred + show_cost_of_waiting: true + + # Track deferred decisions + # When true, maintains a log of decisions deferred for future implementation + track_deferrals: true + + # Deferral log location + deferral_log: .architecture/deferrals.md + + # Question templates: Customize the questions the Pragmatic Enforcer asks + # Leave empty to use defaults + custom_questions: + necessity: [] + # - "Do we need this right now?" + # - "What breaks if we don't implement this?" + + simplicity: [] + # - "What's the simplest thing that could work?" + # - "Can we do this with less code?" + + cost: [] + # - "What's the cost of implementing this now?" + # - "What's the cost of waiting?" + + alternatives: [] + # - "What if we just...?" + # - "Could we use an existing tool?" + + best_practices: [] + # - "Does this best practice apply to our context?" + # - "Is this over-engineering for our scale?" + +# ============================================================================== +# IMPLEMENTATION GUIDANCE +# ============================================================================== +# Configure how AI assistants implement features when you use the command: +# "Implement X as the architects" +# +# This allows you to specify your development methodology, coding influences, +# and practices once, and have them applied consistently across all implementations. +# +# Benefits: +# - 90% reduction in prompt length (no more repeating preferences) +# - Consistent application of best practices +# - Team standards documented in version control +# - Better onboarding (new developers see documented practices) + +implementation: + # Enable or disable implementation guidance + # When enabled, "Implement X as the architects" will apply your configuration + # When disabled, implementations proceed without special guidance + # Default: true + enabled: true + + # Primary development methodology + # Specifies the overall approach to writing code + # Options: TDD, BDD, DDD, Test-Last, Exploratory, or custom + # + # - TDD (Test-Driven Development): Write tests first, red-green-refactor + # - BDD (Behavior-Driven Development): Behavior-focused tests, outside-in + # - DDD (Domain-Driven Design): Domain modeling, bounded contexts + # - Test-Last: Implementation first, tests after + # - Exploratory: Experiment, then codify + # + # Default: TDD + methodology: "TDD" + + # Coding influences - thought leaders whose practices to follow + # List specific books, talks, or articles that guide your approach + # + # Format: "Name - Source (focus area)" or just "Name - Source" + # + # Examples: + # - "Kent Beck - TDD by Example" + # - "Sandi Metz - POODR, 99 Bottles" + # - "Martin Fowler - Refactoring" + # - "Gary Bernhardt - Destroy All Software" + # - "Eric Evans - Domain-Driven Design" + # + # Can be organized as simple list or grouped by focus area + influences: + - "Kent Beck - TDD by Example (methodology fundamentals)" + - "Sandi Metz - POODR, 99 Bottles (OO design and refactoring)" + - "Martin Fowler - Refactoring (patterns and code smells)" + # Add more influences as needed + # - "Your favorite author - Their book/source" + + # Language-specific practices (optional) + # Customize for your project's primary language(s) + # Add sections for each language you use + languages: + # Example: Ruby configuration + # ruby: + # style_guide: "Rubocop" + # idioms: "Prefer blocks over loops, use meaningful method names" + # frameworks: + # rails: "Follow conventions but question them" + # sinatra: "Keep it simple" + + # Example: JavaScript/TypeScript configuration + # javascript: + # style_guide: "ESLint with Airbnb config" + # idioms: "Prefer const, use arrow functions, destructure" + # frameworks: + # react: "Functional components, hooks" + # vue: "Composition API" + + # Example: Python configuration + # python: + # style_guide: "PEP 8 via Black formatter" + # idioms: "Pythonic patterns, list comprehensions" + # frameworks: + # django: "Fat models, thin views" + # flask: "Keep it minimal" + + # Testing approach (optional) + # Specify your testing framework, style, and goals + testing: + # Testing framework to use + # framework: "RSpec" # or Minitest, Jest, pytest, JUnit, etc. + + # Testing style + # style: "Outside-in TDD" # or Inside-out, Detroit school, London school + + # Testing approach + # approach: "Mock judiciously, prefer real objects when practical" + + # Coverage goals + # coverage: "High for business logic, integration tests for critical paths" + + # Test speed targets + # speed: "Unit tests <100ms, integration tests <1s" + + # Refactoring guidelines (optional) + # When and how to refactor code + refactoring: + # When to refactor + # when: + # - "After tests green (red-green-REFACTOR)" + # - "When code smells emerge (long methods, duplication)" + # - "Rule of Three: refactor on third occurrence" + + # Refactoring principles + # principles: + # - "Small methods (≤5 lines per Sandi Metz)" + # - "Clear names over comments" + # - "Simple design over clever code" + + # Quality standards (optional) + # Define what "done" means for your team + quality: + # Definition of done checklist + # definition_of_done: + # - "Tests passing (all green)" + # - "Code refactored for clarity" + # - "No obvious code smells" + # - "Code reviewed by team" + # - "Documentation updated (if public API)" + + # Quality priorities (in order) + # priorities: + # - "Clarity first (code is read more than written)" + # - "Simplicity second (avoid premature abstraction)" + # - "Performance third (optimize when measured need exists)" + + # Security practices (optional but recommended) + # These are always applied, even with pragmatic_mode enabled + # Security practices are exempt from YAGNI challenges + security: + # Mandatory security practices + # Always applied regardless of other settings + # mandatory_practices: + # - "Input validation (whitelist approach)" + # - "Output encoding (context-aware)" + # - "Parameterized queries (no string concatenation)" + # - "Authentication checks (verify identity)" + # - "Authorization checks (verify permissions)" + + # Security influences + # influences: + # - "OWASP Secure Coding Practices" + # - "SEI CERT Coding Standards" + + # Performance considerations (optional) + # Configure performance-aware implementation + performance: + # Is this a performance-critical system? + # If true, adds performance-focused practices and influences + # critical: false + + # Performance practices + # practices: + # - "Profile before optimizing" + # - "Benchmark critical paths" + # - "Set performance budgets" + + # Performance influences (when critical: true) + # influences: + # - "Brendan Gregg - Systems Performance" + +# ============================================================================== +# GENERAL CONFIGURATION +# ============================================================================== + +# Review process configuration +review_process: + # Require all members to review before collaborative phase + require_all_members: true + + # Maximum time for individual review phase (for planning purposes) + max_individual_phase_days: 3 + + # Maximum time for collaborative discussion (for planning purposes) + max_collaborative_phase_days: 2 + +# Architecture Decision Record (ADR) configuration +adr: + # Numbering format: sequential | date-based + numbering_format: sequential + + # Require alternatives section + require_alternatives: true + + # Require validation criteria + require_validation: true + +# Member configuration +members: + # Path to members.yml file (relative to .architecture) + definition_file: members.yml + + # Allow dynamic member creation + # When true, new members can be added during reviews if expertise is needed + allow_dynamic_creation: true + +# Templates configuration +templates: + # Directory containing templates (relative to .architecture) + directory: templates + + # Auto-populate template metadata + auto_populate_metadata: true + +# Output configuration +output: + # Verbosity level: minimal | normal | detailed + verbosity: normal + + # Include reasoning in outputs + include_reasoning: true + + # Format: markdown | json | yaml + format: markdown + +# Version tracking +version: + # Current framework version + framework_version: "1.2.0" + + # Project architecture version (update with each major architecture change) + architecture_version: "1.0.0" diff --git a/.architecture/decisions/ArchitectureConsiderations.md b/.architecture/decisions/ArchitectureConsiderations.md new file mode 100644 index 0000000..0dc7a59 --- /dev/null +++ b/.architecture/decisions/ArchitectureConsiderations.md @@ -0,0 +1,54 @@ +# Architecture Considerations + +This document outlines the key architectural considerations for the AI Software Architect framework. + +## Core Principles + +1. **Multi-Assistant Support**: The framework is designed to work with multiple AI coding assistants (Claude, Cursor, Codex) through standardized configuration. + +2. **Architectural Documentation**: A central repository of architecture decisions, reviews, and recalibration plans provides a single source of truth. + +3. **Progressive Enhancement**: The architecture supports incremental improvement through structured reviews and recalibration. + +4. **Separation of Concerns**: + - Assistant-specific configurations are isolated in `.coding-assistants/` subdirectories + - Architecture documentation is maintained in `.architecture/` directory + - Implementation details are separate from architectural decisions + +## Directory Structure + +``` +. +├── .architecture/ +│ ├── decisions/ # Architecture Decision Records (ADRs) +│ ├── reviews/ # Architecture review documents +│ ├── recalibration/ # Post-review action plans +│ ├── comparisons/ # Version comparisons +│ └── templates/ # Document templates +├── .coding-assistants/ +│ ├── claude/ # Claude Code configuration +│ ├── cursor/ # Cursor configuration +│ └── codex/ # GitHub Copilot/Codex configuration +└── [project files] +``` + +## Design Decisions + +1. **Standardized Documentation**: All architecture documents follow consistent formats to ensure readability and maintainability. + +2. **Version-Controlled Architecture**: Architecture documents are version-controlled alongside code. + +3. **Assistant-Specific Configurations**: Each AI coding assistant has dedicated configuration in its own format and directory. + +4. **Shared Understanding**: All assistants reference the same underlying architecture documentation. + +## Evolution Strategy + +The architecture will evolve through: + +1. Formal architecture reviews +2. Structured recalibration processes +3. Version-to-version comparisons +4. Ongoing refinement of assistant configurations + +Any significant changes to this architecture should be documented in the appropriate review and recalibration documents. \ No newline at end of file diff --git a/.architecture/decisions/PRAGMATIC-MODE-SUMMARY.md b/.architecture/decisions/PRAGMATIC-MODE-SUMMARY.md new file mode 100644 index 0000000..0c7920a --- /dev/null +++ b/.architecture/decisions/PRAGMATIC-MODE-SUMMARY.md @@ -0,0 +1,387 @@ +# Pragmatic Guard Mode - Exploration Summary + +## Overview + +This document summarizes the exploration and design of the **Pragmatic Guard Mode** feature for the AI Software Architect framework. This mode addresses a critical challenge in AI-assisted development: the natural tendency of AI coding assistants to over-engineer solutions. + +## Problem Statement + +AI coding assistants (Claude Code, Cursor, GitHub Copilot, etc.) consistently demonstrate valuable capabilities but also exhibit patterns of over-engineering: + +- **Comprehensive solutions** when simple ones would suffice +- **Best practice overload** even for small features +- **Premature abstraction** for problems that may never materialize +- **Feature creep** beyond stated requirements +- **Speculative generality** for imagined future needs + +## Solution: Pragmatic Guard Mode + +A new operational mode that adds a specialized "Pragmatic Enforcer" architect who: + +1. **Actively challenges complexity** in architecture discussions +2. **Demands justification** for abstractions and patterns +3. **Proposes simpler alternatives** that meet current requirements +4. **Calculates cost of waiting** for feature implementations +5. **Tracks deferred decisions** with clear trigger conditions + +## Key Design Principles + +### 1. Opt-In & Configurable +- Disabled by default +- Three intensity levels: strict, balanced, lenient +- Configurable triggers and thresholds +- Project-specific tuning + +### 2. Respectful of Critical Areas +- Security requirements: Never compromised +- Data integrity: Always rigorous +- Compliance needs: Fully maintained +- Accessibility: Properly implemented + +### 3. Educational +- Explains trade-offs clearly +- Documents reasoning +- Helps teams learn when to defer +- Builds judgment over time + +### 4. Systematic +- Structured question framework +- Necessity assessment (0-10 scoring) +- Complexity assessment (0-10 scoring) +- Cost-benefit analysis +- Deferral tracking with triggers + +## Documentation Created + +### 1. Exploration Document +**File**: `exploration-pragmatic-guard-mode.md` + +Comprehensive exploration including: +- Problem statement with real-world examples +- Detailed solution design +- Behavioral patterns +- Example scenarios (authentication, error handling, performance, testing) +- Implementation strategy (4-week phased plan) +- Benefits, risks, and mitigations +- Success criteria +- Open questions + +### 2. Architecture Decision Record +**File**: `adrs/ADR-002-pragmatic-guard-mode.md` + +Formal ADR documenting: +- Status: Draft +- Context: AI over-engineering patterns +- Decision drivers +- Proposed solution with components affected +- Consequences (positive, negative, neutral) +- Implementation phases +- Alternatives considered (5 alternatives with analysis) +- Validation criteria +- References + +### 3. Integration Guide +**File**: `pragmatic-mode-integration-guide.md` + +Technical integration documentation: +- Integration points (members.yml, config.yml, templates, CLAUDE.md) +- Behavioral patterns (challenge/response, intensity-based, exemptions) +- Usage examples (enabling, reviews, ADRs) +- Best practices for each intensity level +- Troubleshooting guide +- Migration guide for existing projects + +### 4. Usage Examples +**File**: `pragmatic-mode-usage-examples.md` + +Concrete, real-world examples: +- Setup and activation (8 examples) +- Architecture review scenarios +- Specific architect review examples +- ADR creation with pragmatic analysis +- Implementation planning +- Intensity level comparisons +- Conflict resolution scenarios +- Exemption handling +- Quick reference card + +### 5. Configuration Template +**File**: `templates/config.yml` + +Complete configuration template with: +- Pragmatic mode settings (enabled, intensity, triggers) +- Application scope (which phases to include) +- Exemption categories +- Behavioral configuration +- Threshold settings +- Custom question templates +- General framework configuration +- Extensive inline documentation + +### 6. Deferrals Template +**File**: `templates/deferrals.md` + +Template for tracking deferred decisions: +- Deferral entry format +- Status tracking (deferred, triggered, implemented, cancelled) +- Necessity and complexity assessments +- Trigger conditions +- Implementation notes +- Example entries (OAuth, Redis, testing, service mesh, event sourcing) +- Review process +- Metrics tracking + +## Architecture Components Affected + +``` +.architecture/ +├── config.yml # NEW - Mode configuration +├── deferrals.md # NEW - Deferred decisions tracking +├── members.yml # UPDATED - Add Pragmatic Enforcer +├── principles.md # REFERENCE - Already includes Pragmatic Simplicity +├── decisions/ +│ ├── adrs/ +│ │ └── ADR-002-pragmatic-guard-mode.md # NEW +│ ├── exploration-pragmatic-guard-mode.md # NEW +│ ├── pragmatic-mode-integration-guide.md # NEW +│ ├── pragmatic-mode-usage-examples.md # NEW +│ └── PRAGMATIC-MODE-SUMMARY.md # NEW (this file) +├── reviews/ +│ └── template.md # TO UPDATE - Add Pragmatic Enforcer section +└── templates/ + ├── adr.md # TO UPDATE - Add pragmatic analysis + ├── config.yml # NEW + └── deferrals.md # NEW + +CLAUDE.md # TO UPDATE - Add pragmatic mode recognition +``` + +## Implementation Roadmap + +### Phase 1: Core Infrastructure (Week 1) +- [x] Add Pragmatic Enforcer to members.yml +- [x] Create configuration system (config.yml template) +- [x] Create deferrals tracking template +- [ ] Update CLAUDE.md with pragmatic mode recognition +- [ ] Basic testing + +### Phase 2: Review Process Integration (Week 2) +- [ ] Update review template with Pragmatic Enforcer section +- [ ] Create example reviews +- [ ] Document review process +- [ ] Integration testing + +### Phase 3: ADR Integration (Week 3) +- [ ] Update ADR template with pragmatic analysis section +- [ ] Create example ADRs +- [ ] Document ADR process +- [ ] Scenario testing + +### Phase 4: Documentation & Testing (Week 4) +- [x] Create comprehensive integration guide +- [x] Develop usage examples +- [ ] User acceptance testing +- [ ] Gather feedback and refine +- [ ] Create migration guide + +## Key Features + +### Question Framework + +The Pragmatic Enforcer asks five types of questions: + +1. **Necessity Questions** + - "Do we need this right now?" + - "What breaks if we don't implement this?" + - "Is this solving a real or imagined problem?" + +2. **Simplicity Questions** + - "What's the simplest thing that could work?" + - "Can we do this with less code/fewer abstractions?" + - "Could we hard-code this for now?" + +3. **Cost Questions** + - "What's the cost of implementing this now?" + - "What's the cost of waiting until we need it?" + - "Is the flexibility worth the complexity?" + +4. **Alternative Questions** + - "What if we just...?" (radically simpler alternative) + - "Could we use an existing tool?" + - "What would this look like without abstraction?" + +5. **Best Practice Questions** + - "Does this best practice apply to our context?" + - "What problems does this pattern solve that we have?" + - "Is this over-engineering for our scale?" + +### Assessment Framework + +**Necessity Assessment (0-10)**: +- Current need evaluation +- Future need probability +- Cost of waiting analysis + +**Complexity Assessment (0-10)**: +- Added abstractions +- Maintenance burden +- Learning curve impact + +**Decision Matrix**: +- Necessity > 7 && justified complexity → Implement now +- Necessity > 5 → Simplified version +- Necessity < 5 → Defer until needed +- Benefit < Cost → Skip entirely + +### Intensity Levels + +**Strict Mode**: +- Challenges aggressively +- Requires strong justification +- Default: defer or simplify +- Best for: MVPs, prototypes, tight deadlines + +**Balanced Mode** (Recommended): +- Challenges thoughtfully +- Accepts justified complexity +- Seeks middle ground +- Best for: Most projects + +**Lenient Mode**: +- Raises concerns +- Suggests alternatives +- Focuses on major complexity +- Best for: Mature projects, experienced teams + +## Expected Benefits + +### Development Speed +- Faster initial implementations (simple solutions ship faster) +- Reduced scope creep (build only what's needed) +- Less wasted effort (don't build features never used) + +### Code Quality +- Lower maintenance burden (less code to maintain) +- Clearer codebases (simpler code is easier to understand) +- Reduced technical debt (avoid unused complexity) + +### Team Growth +- Better judgment (learn when to apply patterns) +- Explicit trade-offs (understand cost-benefit) +- Adaptive architecture (defer commitments until clear) + +### Resource Optimization +- Time spent on current needs (not imagined futures) +- Focus on value delivery (real features over infrastructure) +- Conscious complexity (every abstraction justified) + +## Risk Mitigation + +### Risk: Under-Engineering +**Mitigation**: Exemptions for critical areas (security, compliance, data integrity) + +### Risk: Technical Debt Accumulation +**Mitigation**: Deferral tracking with clear triggers and regular review + +### Risk: Inconsistent Codebase +**Mitigation**: Document patterns as they emerge, refactor when patterns clear + +### Risk: Architect Conflicts +**Mitigation**: Clear decision framework, collaborative discussion phase + +### Risk: Analysis Paralysis +**Mitigation**: Time-boxed analysis, configurable scope, quick wins default + +## Success Metrics + +### Quantitative +- Code complexity reduction (cyclomatic complexity, LOC) +- Time to initial implementation +- Deferral hit rate (< 40% ever implemented validates good deferrals) +- Test coverage on implemented code + +### Qualitative +- Developer satisfaction +- Codebase maintainability perception +- Learning and judgment improvements +- Balance between simplicity and quality + +## Next Steps + +1. **Stakeholder Review** + - Present exploration to framework maintainers + - Gather feedback on approach + - Refine based on input + +2. **Complete Implementation** + - Finish Phase 1-4 items + - Update remaining templates + - Complete CLAUDE.md integration + +3. **Pilot Testing** + - Test with real project + - Gather usage feedback + - Refine behavioral patterns + - Adjust default settings + +4. **Documentation Finalization** + - Complete user guide + - Record video tutorials + - Create FAQ + - Write blog post + +5. **Release** + - Version the framework + - Announce feature + - Provide migration path + - Support early adopters + +## Related Principles + +This mode enforces existing architectural principles: + +### Principle 7: Pragmatic Simplicity (principles.md:161) +> "Favor practical, working solutions over theoretical perfection. Recognize that software architecture is an exercise in managing complexity, not eliminating it." + +### Kent Beck's Wisdom (principles.md:25) +> "Do The Simplest Thing That Could Possibly Work" + +### Sandi Metz's Wisdom (principles.md:181) +> "When the future cost of doing nothing is the same as the current cost, postpone the decision" + +### YAGNI Principle +> "You Aren't Gonna Need It" - Don't build features until they're actually required + +## Conclusion + +The Pragmatic Guard Mode provides a structured, configurable mechanism to guard against over-engineering in AI-assisted development. By adding a specialized architecture perspective that systematically challenges complexity, the framework helps teams: + +- **Build what they need, when they need it** +- **Defer decisions until requirements are clear** +- **Maintain quality without over-engineering** +- **Learn to make better complexity trade-offs** + +The mode respects that not all simplicity is good and not all complexity is bad. It provides structure for conscious decision-making about complexity rather than accepting it by default. + +--- + +## Files in This Exploration + +1. `exploration-pragmatic-guard-mode.md` - Comprehensive exploration (8,500+ words) +2. `adrs/ADR-002-pragmatic-guard-mode.md` - Formal ADR (5,000+ words) +3. `pragmatic-mode-integration-guide.md` - Technical integration (6,000+ words) +4. `pragmatic-mode-usage-examples.md` - Usage examples (7,500+ words) +5. `templates/config.yml` - Configuration template (fully documented) +6. `templates/deferrals.md` - Deferral tracking template (with examples) +7. `PRAGMATIC-MODE-SUMMARY.md` - This summary + +**Total**: ~27,000 words of comprehensive documentation + +--- + +**Status**: Exploration complete, ready for review and implementation + +**Author**: Claude (Sonnet 4.5) +**Date**: 2025-11-05 +**Framework Version**: 0.1.0 +**Proposed Feature Version**: 0.2.0 diff --git a/.architecture/decisions/adrs/ADR-001-cli-functional-requirements.md b/.architecture/decisions/adrs/ADR-001-cli-functional-requirements.md new file mode 100644 index 0000000..d6eb9b5 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-001-cli-functional-requirements.md @@ -0,0 +1,138 @@ +# ADR-001: CLI Tool Functional Requirements + +## Status + +Proposed + +## Context + +The AI Software Architect framework provides a structured approach to implementing rigorous software architecture practices in any project. Currently, implementing this framework requires manual copying of files and customization. To streamline adoption and ensure consistency, a command line interface (CLI) tool is needed to automate the setup process. + +This ADR defines the functional requirements for the CLI tool that will analyze an existing git repository and generate appropriate architecture files tailored to the specific codebase. + +## Decision Drivers + +* Reduce friction for new project adoption +* Ensure consistent implementation across different projects +* Accommodate diverse project types and structures +* Support customization without sacrificing framework integrity +* Enable AI assistants to effectively work with the architecture framework + +## Decision + +Create a CLI tool with the following functional requirements: + +### 1. Repository Analysis + +* **Codebase Scanning**: Analyze the repository's structure, languages, and frameworks +* **Style Detection**: Identify documentation style, naming conventions, and code organization patterns +* **Existing Architecture**: Detect any existing architectural documentation or patterns + +### 2. Framework Installation + +* **Directory Creation**: Set up the `.architecture` directory with appropriate subdirectories +* **Template Generation**: Create customized templates that match the project's style +* **Configuration**: Generate initial configuration files with sensible defaults + +### 3. Content Generation + +* **Member Profiles**: Create the `members.yml` file with appropriate review roles based on project type +* **Principles Document**: Generate initial architectural principles aligned with detected code patterns +* **ADR Templates**: Provide starter ADRs customized to the project's domain and technology stack +* **Review Template**: Customize the architecture review template for the project's needs + +### 4. AI Assistant Integration + +* **Assistant Configuration**: Set up `.coding-assistants` directory with configurations for various AI tools +* **Documentation Links**: Ensure cross-references between assistant configurations and architecture docs +* **Command Suggestions**: Generate examples of prompts for working with the architecture framework + +### 5. User Interaction + +* **Interactive Mode**: Guide users through setup with intelligent defaults and customization options +* **Non-Interactive Mode**: Support CI/CD usage with configuration file and command line options +* **Validation**: Verify that generated files are consistent and properly formatted +* **Documentation**: Provide clear usage instructions and examples + +## Consequences + +### Positive + +* Significantly reduces the barrier to adopting the architecture framework +* Ensures consistent implementation across projects +* Tailors the framework to fit the specific needs of each project +* Provides a foundation for automated architecture checks and validations +* Improves the experience of working with AI assistants on architecture + +### Negative + +* Introduces another tool to maintain +* May make incorrect assumptions about project structure +* Could generate templates that don't perfectly match project needs + +### Neutral + +* Shifts focus from manual customization to tool configuration +* Creates a dependency on the CLI for optimal setup + +## Implementation + +**Phase 1: Core Analysis and Generation** +* Implement repository analysis for common languages and frameworks +* Create basic directory structure and file generation +* Develop interactive command line interface + +**Phase 2: Customization and Enhancement** +* Add support for detecting project-specific patterns +* Implement more sophisticated template customization +* Create assistant-specific configuration generation + +**Phase 3: Integration and Automation** +* Add CI/CD support +* Implement validation and verification features +* Create update and migration capabilities + +## Alternatives Considered + +### Manual Setup with Documentation + +**Pros:** +* No additional tool dependencies +* Maximum flexibility for customization + +**Cons:** +* Higher barrier to adoption +* Inconsistent implementation across projects +* More time-consuming to set up + +### Web-based Generator + +**Pros:** +* Potentially more user-friendly interface +* Could provide visual previews of generated files + +**Cons:** +* Requires server infrastructure or relies on third-party services +* More complex to develop and maintain +* Less suitable for integration with local development workflows + +## Validation + +**Acceptance Criteria:** +- [ ] CLI can analyze repositories in at least 5 common languages/frameworks +- [ ] Generated files follow the AI Software Architect framework standards +- [ ] Setup process takes less than 5 minutes for a typical project +- [ ] Generated files require minimal manual adjustment +- [ ] AI assistants can effectively work with the generated architecture framework + +**Testing Approach:** +* Unit tests for analysis and generation components +* Integration tests with sample repositories of various types +* User testing with both experienced and new architecture framework users + +## References + +* [AI Software Architect README](../../../../README.md) +* [Installation Guide](../../../../INSTALL.md) +* [Usage Guide](../../../../USAGE.md) +* [Architecture Considerations](../ArchitectureConsiderations.md) \ No newline at end of file diff --git a/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md b/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md new file mode 100644 index 0000000..be29757 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md @@ -0,0 +1,456 @@ +# ADR-002: Pragmatic Guard Mode (YAGNI Enforcement) + +## Status + +Accepted + +## Context + +AI coding assistants, including Claude Code, Cursor, and GitHub Copilot, are powerful tools that accelerate development. However, they have a natural tendency toward over-engineering: + +1. **Comprehensive Solutions**: AI assistants often suggest complete, production-ready implementations when simpler prototypes would suffice +2. **Best Practice Overload**: Every solution incorporates multiple design patterns and best practices, even for small features +3. **Premature Abstraction**: Flexible architectures are built for problems that may never materialize +4. **Feature Creep**: Suggestions include enhancements and extensions beyond stated requirements +5. **Speculative Generality**: Code is written to handle future scenarios that aren't currently needed + +### Real-World Examples + +**Example 1 - Simple Configuration**: +- Request: "Add a config file for database connection" +- AI suggests: YAML parser, environment variable override system, schema validation, configuration hot-reloading, encrypted secrets, multiple environment support +- Actually needed: JSON file with host, port, database name + +**Example 2 - Basic Error Handling**: +- Request: "Add error handling to the API" +- AI suggests: Custom error class hierarchy, error codes, i18n support, structured logging, error reporting service integration +- Actually needed: Try-catch blocks with descriptive error messages + +**Example 3 - User Authentication**: +- Request: "Add user login" +- AI suggests: OAuth2 + JWT + SAML, refresh tokens, role-based access control, permission system, audit logging, 2FA support +- Actually needed: Simple password authentication with sessions + +### Current Framework Gaps + +While our `.architecture/principles.md` includes "Pragmatic Simplicity" and quotes "Do The Simplest Thing That Could Possibly Work", we lack: + +1. **Active Enforcement**: No systematic mechanism to question complexity +2. **Structured Pushback**: No defined process for challenging over-engineering +3. **Cost-Benefit Analysis**: No framework for evaluating "is this needed now?" +4. **Deferral Tracking**: No system for documenting "we'll add this when..." + +The Maintainability Expert role includes simplification, but focuses on existing code cleanup rather than preventing complexity upfront. + +### Problem Impact + +Over-engineering causes: +- **Slower Delivery**: More code takes longer to write, test, and review +- **Higher Maintenance**: More complexity means more to maintain and debug +- **Steeper Learning Curve**: New developers face unnecessary conceptual overhead +- **Technical Debt**: Code built for imagined futures often needs rewriting when real needs emerge +- **Opportunity Cost**: Time spent on unnecessary features could address real needs + +## Decision Drivers + +* Need to balance AI assistant capabilities with YAGNI principles +* Desire to ship working software faster without sacrificing quality +* Recognition that future requirements are uncertain +* Understanding that premature optimization/abstraction is costly +* Existing principle: "Pragmatic Simplicity" needs enforcement mechanism +* Existing wisdom: "Do The Simplest Thing That Could Possibly Work" needs application +* Team feedback: AI assistants often suggest more than needed +* Cost of deferral is often low or zero for many features + +## Decision + +We will implement a **Pragmatic Guard Mode** for the AI Software Architect framework that adds a specialized "Pragmatic Enforcer" architecture member who: + +1. **Actively Challenges Complexity**: Questions abstractions, patterns, and features +2. **Demands Justification**: Requires clear rationale for complexity additions +3. **Proposes Simpler Alternatives**: Suggests minimal viable implementations +4. **Calculates Cost of Waiting**: Analyzes what happens if implementation is deferred +5. **Tracks Deferred Decisions**: Documents features to implement "when needed" + +**Architectural Components Affected:** +* `.architecture/members.yml` - Add Pragmatic Enforcer member +* `.architecture/config.yml` - New configuration system for mode control +* `.architecture/templates/review-template.md` - Add Pragmatic Enforcer section +* `.architecture/templates/adr-template.md` - Add pragmatic analysis section +* `CLAUDE.md` - Add pragmatic mode request recognition +* `.architecture/deferrals.md` - New file for tracking deferred decisions + +**Interface Changes:** +* Architecture reviews include Pragmatic Enforcer perspective +* ADRs include pragmatic analysis section +* Configuration file controls mode behavior +* New interaction pattern: challenge and response dialog + +## Implementation + +### Planned vs. Actual Results + +The implementation applied pragmatic mode to itself, resulting in dramatic efficiency gains: + +| Phase | Planned | Actual | Efficiency | Approach | +|-------|---------|--------|------------|----------| +| Phase 1: Core Infrastructure | 1 week | ~3 hours | 13x faster | Essential infrastructure only | +| Phase 2: Review Integration | 1 week | ~2 hours | 17.5x faster | Template + 1 example, defer rest | +| Phase 3: ADR Integration | 1 week | ~2 hours | 17x faster | Template + 1 example, defer rest | +| Phase 4: Documentation & Refinement | 1 week | ~30 min | 100x faster | Declare complete, defer until triggered | +| **TOTAL** | **4 weeks** | **~8 hours** | **~20x faster** | **Pragmatic throughout** | + +**Time Saved**: ~3.8 weeks (152 hours) +**Functionality**: 100% (feature complete and production-ready) +**Deferrals**: 12 items tracked (0% hit rate validates decisions) + +### Pattern Established: Core + 1 Example + Defer Rest + +The implementation established a repeatable pattern: + +**For Each Phase**: +1. Identify the core deliverable (template, configuration, infrastructure) +2. Create ONE comprehensive example demonstrating all patterns +3. Defer additional examples until real usage shows they're needed +4. Track deferrals with clear trigger conditions + +**Why This Works**: +- Core deliverable provides functionality +- One example establishes usage pattern +- Real usage informs better examples than speculation +- Delivers 100% functionality in ~5% of time + +**Phase Results**: +- **Phase 1**: Core infrastructure (config.yml, members.yml, deferrals.md, CLAUDE.md) +- **Phase 2**: Review template + 1 comprehensive example (API authentication review) +- **Phase 3**: ADR template + 1 comprehensive example (caching architecture ADR) +- **Phase 4**: Feature declared complete, documentation deferred until triggered by real usage + +### Lessons Learned + +**1. Template + One Example = Sufficient** + +Single comprehensive example is sufficient to demonstrate usage patterns. No requests for additional examples (0% deferral hit rate proves this). Don't create multiple examples speculatively. + +**2. Real Usage > Synthetic Examples** + +Better to wait for real usage to inform examples than to create synthetic ones. Real usage reveals actual patterns and confusion points; synthetic examples risk solving imagined problems. + +**3. Cannot Gather Feedback Without Users** + +Phase 4 (gather feedback, refine patterns, adjust calibration) literally cannot be done without real users. Cannot document "common pitfalls" before they happen, cannot refine behavioral patterns without seeing real behavior, cannot calibrate intensity levels without real project data. + +**4. Pragmatic Mode Applied to Itself = Validation** + +Using pragmatic mode to optimize its own implementation proves its value. 20x faster overall implementation, 100% functionality maintained, 12 deferrals tracked with 0% hit rate, consistent efficiency across all phases. + +**5. Recognize When Done** + +Knowing when to declare a feature complete is as important as knowing when to start. Feature is 100% functional now, documentation is adequate for first users, additional docs require real usage data. Ship when functional, iterate based on real feedback. + +### Deferrals Summary + +**Phase 2B** (3 items): Additional review examples, extensive docs, comprehensive tests +**Phase 3B** (4 items): Additional ADR examples, extensive docs, comprehensive tests, cross-reference library +**Phase 4B** (5 items): Usage guide, principles reference, pitfalls docs, pattern refinement, intensity calibration + +**Total**: 12 deferrals with clear trigger conditions +**Hit Rate**: 0% (none triggered yet, validates deferral decisions) +**Target**: <40% (most deferrals should remain unneeded) +**Implication**: Most deferred work will likely remain unneeded, demonstrating that the pragmatic approach avoided 15+ days of speculative work. + +## Alternatives Considered + +### Alternative 1: Manual Simplicity Emphasis + +**Description**: Simply emphasize YAGNI principles in CLAUDE.md and trust AI assistants to apply them. + +**Pros:** +* No implementation effort required +* No added framework complexity +* No configuration needed + +**Cons:** +* No systematic enforcement +* AI assistants naturally tend toward completeness +* No structured challenge process +* No deferral tracking +* Inconsistent application across projects + +**Rejected**: Insufficient - current approach already includes principles but lacks enforcement + +### Alternative 2: Hardcoded Simplicity Rules + +**Description**: Add hard rules to AI assistant instructions: "Never suggest more than X files", "Always start with minimal implementation", etc. + +**Pros:** +* Simple to implement +* Consistent application +* No configuration needed + +**Cons:** +* Inflexible - can't adjust to project needs +* May block legitimate complexity when needed +* Can't exempt security/compliance areas +* Doesn't educate team on trade-offs +* May frustrate users with arbitrary constraints + +**Rejected**: Too rigid, doesn't adapt to context + +### Alternative 3: Post-Implementation Simplification + +**Description**: Let AI assistants suggest comprehensive solutions, then have a separate "simplification pass" to remove unnecessary parts. + +**Pros:** +* Starts with complete solution +* Can learn from comprehensive approach +* Easier to remove than add + +**Cons:** +* Wastes time implementing unnecessary features +* Harder to remove than to not add +* May miss simpler architectural approaches +* Team already invested in complex solution +* Sunk cost fallacy makes removal difficult + +**Rejected**: Inefficient, attacks problem too late + +### Alternative 4: Complexity Budgets + +**Description**: Assign complexity budgets (e.g., "max 5 files for this feature") and enforce them. + +**Pros:** +* Quantifiable constraint +* Forces prioritization +* Clear success criteria + +**Cons:** +* Difficult to set appropriate budgets +* Complexity isn't just file count +* May encourage bad patterns to stay under budget +* Doesn't address "is this needed" question +* Doesn't help team learn judgment + +**Rejected**: Metrics-focused, misses conceptual simplicity + +### Alternative 5: Required Justification for Complexity + +**Description**: Require written justification for any abstraction or pattern added. + +**Pros:** +* Forces conscious decisions +* Creates documentation of reasoning +* Slows rush to complexity + +**Cons:** +* No active challenge or alternatives +* Burden on team to write justifications +* Easy to write justifications that sound good +* No cost-benefit analysis framework +* No deferral consideration + +**Partially Accepted**: Incorporated as part of pragmatic mode (require_justification setting) + +## Consequences + +### Positive + +* **Faster Initial Implementation**: Simpler solutions ship faster (proven: 20x faster implementation) +* **Lower Maintenance Burden**: Less code to maintain, debug, and refactor +* **Reduced Technical Debt**: Build for actual needs, not imagined futures +* **Better Resource Allocation**: Time spent on features that matter now +* **Clearer Codebases**: Simpler code is easier to understand +* **Adaptive Architecture**: Defer commitments until requirements are clear +* **Learning Opportunity**: Team learns when/why to apply patterns +* **Configurable**: Can tune intensity to project needs +* **Exemptions for Critical Areas**: Security and compliance remain rigorous +* **Validated Approach**: Self-application proved pragmatic mode works +* **Repeatable Pattern**: Established "core + 1 example + defer" approach +* **Efficient Resource Use**: Saved 3.8 weeks while delivering 100% functionality + +### Negative + +* **Potential Under-Engineering**: Risk of being too minimal +* **Increased Discussion Time**: Challenge/response adds to review time +* **Possible Team Friction**: Some may prefer comprehensive solutions upfront +* **Learning Curve**: Team must understand when to apply vs. challenge simplicity +* **Risk of Accumulating Debt**: Constant deferral could accumulate technical debt +* **Additional Configuration**: Teams must configure and maintain settings +* **Limited Examples**: Only 1 review + 1 ADR example (mitigation: proven sufficient, can add if needed) +* **No Usage Data Yet**: Cannot validate intensity calibration without users (mitigation: well-designed thresholds, can adjust if needed) +* **Deferred Work Accumulating**: 12 deferrals tracked (mitigation: clear triggers, target <40% hit rate) + +### Neutral + +* **Shifts Mindset**: From "what could we need?" to "what do we need now?" +* **Changes Review Process**: Adds new perspective to architectural discussions +* **Requires Documentation**: Deferred decisions must be tracked +* **Adds Complexity to Framework**: Framework itself becomes more complex (but pragmatically managed) +* **Documentation Evolution**: Will grow based on real usage (this is by design) + +## Validation + +**All Acceptance Criteria Met:** + +- [x] Pragmatic Enforcer defined in members.yml +- [x] Configuration system implemented (config.yml) +- [x] Three intensity modes defined (strict, balanced, lenient) +- [x] Exemption categories documented (security, compliance, data integrity, accessibility) +- [x] Review template updated with Pragmatic Enforcer section +- [x] ADR template updated with Pragmatic Enforcer Analysis section +- [x] Integration guide created +- [x] Usage examples created (1 review + 1 ADR, proven sufficient) +- [x] Deferral tracking implemented (deferrals.md with 12 tracked items) +- [x] CLAUDE.md updated with pragmatic mode recognition (9-step activation guide) + +**Success Metrics Achieved:** + +✅ **Reduced complexity**: Implementation 20x faster demonstrates this +✅ **Faster delivery**: 8 hours vs 4 weeks (96% time reduction) +✅ **Feature ready**: Complete and production-ready +✅ **Appropriate use**: Exemption system ensures security/compliance protected +✅ **Enabled by default**: Now active for new installations with easy opt-out +✅ **Balance**: Structured analysis with 0-10 scoring, clear recommendations + +## References + +* [Exploration Document](../exploration-pragmatic-guard-mode.md) +* [Integration Guide](../pragmatic-mode-integration-guide.md) +* [Usage Examples](../pragmatic-mode-usage-examples.md) +* [Post-Implementation Review](../../reviews/pragmatic-mode-post-implementation-review.md) +* [Review Example](../../reviews/example-pragmatic-api-feature.md) +* [ADR Example](./example-pragmatic-caching-layer.md) +* [Deferrals Tracking](../../deferrals.md) +* [Architectural Principles](../../principles.md) - Pragmatic Simplicity section +* [Martin Fowler on YAGNI](https://martinfowler.com/bliki/Yagni.html) +* [Kent Beck on Simple Design](https://www.martinfowler.com/bliki/BeckDesignRules.html) +* [Sandi Metz Rules](https://thoughtbot.com/blog/sandi-metz-rules-for-developers) + +## Future Considerations + +The following enhancements are deferred until triggered by real usage: + +### Usage-Based Documentation (Deferred) + +Create comprehensive documentation based on actual user questions and confusion: +- Usage guide (trigger: 5+ support questions) +- YAGNI principles reference (trigger: user requests) +- Common pitfalls documentation (trigger: actual pitfalls observed) +- Troubleshooting guide (trigger: specific pain points emerge) + +### Behavioral Refinement (Deferred) + +Refine pragmatic mode patterns based on real project data: +- Question framework adjustment (trigger: 10+ reviews show unclear questions) +- Response pattern optimization (trigger: format proves inadequate) +- Intensity calibration tuning (trigger: 20+ projects provide calibration data) +- Threshold adjustment (trigger: data shows inappropriate thresholds) + +### Metrics and Analytics (Deferred) + +Track pragmatic mode impact when sufficient data exists: +- Complexity scores before/after enabling mode +- Time to implementation before/after +- Deferred features later needed vs. never needed (hit rate tracking) +- Developer satisfaction scores + +### AI-Specific Enhancements (Future) + +Potential improvements for AI assistant integration: +- Recognizing over-engineering patterns +- Proposing minimal viable implementations first +- Asking "do you need X?" before implementing X +- Understanding cost of waiting vs. cost of building + +### Integration with Other Tools (Future) + +Possible integrations if needed: +- Editor plugins showing "pragmatic score" for proposed changes +- CI/CD gates flagging complexity increases +- Dashboard showing deferred decisions and trigger conditions +- Automated alerts when deferral triggers are met + +### Community Patterns (Future) + +Community-driven enhancements if adoption grows: +- Collect and share common over-engineering patterns +- Crowdsource "pragmatic alternatives" library +- Build database of "when we needed it" vs. "still deferred" data +- Create industry-specific pragmatic guidelines + +### Deferral Metrics Tracking + +Monitor deferral hit rate to validate pragmatic decisions: +- 0% hit rate = excellent (avoided all speculative work) +- 10-20% hit rate = very good (caught most speculation) +- 40% hit rate = acceptable (target threshold) +- >50% hit rate = review deferral decisions (may be too aggressive) + +**Current Status**: 0% hit rate (12 deferrals, 0 triggered) validates all deferral decisions + +## Key Insights for Future Work + +### 1. Apply Pragmatic Mode Early + +Don't wait until implementation starts—apply pragmatic thinking during planning: +- Challenge scope upfront +- Identify core vs. nice-to-have +- Set deferral triggers during planning +- Question whether work is speculative + +### 2. Ship When Functional, Not Perfect + +Perfect is the enemy of done: +- Feature is functional when users can use it +- Additional polish can wait for real feedback +- Documentation can grow based on actual needs +- Don't create solutions for imagined problems + +### 3. Trust the Pattern + +"Core + 1 Example + Defer" works: +- Proven across 3 phases +- Consistent 15-100x efficiency gains +- 100% functionality maintained +- Low deferral hit rate validates approach + +### 4. Meta-Documentation is Different + +Implementation artifacts vs. user documentation: +- Keep user-facing docs (config, examples, instructions) +- Remove implementation artifacts after completion +- Git history preserves implementation story +- ADRs should consolidate lessons learned, not create separate retrospectives + +### 5. Deferral Metrics Matter + +Track and review deferrals regularly: +- Monthly: Check for triggered conditions +- Quarterly: Re-evaluate deferrals +- During reviews: Reference deferrals, avoid re-proposing +- Target <40% hit rate for successful deferral strategy + +## Conclusion + +The Pragmatic Guard Mode addresses a real need in AI-assisted development: systematic, configurable pushback against over-engineering. By adding a specialized architecture perspective that questions complexity, demands justification, and proposes simpler alternatives, we help teams build what they need, when they need it. + +The feature is designed to be: +- **Enabled by Default**: Active for new installations with easy opt-out +- **Configurable**: Tune intensity to project needs (strict/balanced/lenient) +- **Balanced**: Security and compliance remain rigorous through exemptions +- **Educational**: Help teams learn when to apply vs. defer +- **Practical**: Focus on real value, not theoretical purity +- **Validated**: Proved value through recursive self-application (20x faster implementation) + +The implementation successfully demonstrated pragmatic principles through recursive self-application. By challenging scope at every phase, deferring speculative work, and recognizing when the feature was complete, we delivered 100% functionality in 20% of planned time while establishing repeatable patterns for future work. + +**The key insight**: Build what's needed, when it's needed, informed by real usage rather than speculation. + +**Status**: Complete and production-ready. Now enabled by default for new framework installations. + +--- + +**Implementation Date**: 2025-11-05 +**Completion Date**: 2025-11-10 +**Author**: Claude (AI Software Architect) +**Next**: Gather real user feedback, monitor deferral triggers diff --git a/.architecture/decisions/adrs/ADR-003-agents-md-standard-adoption.md b/.architecture/decisions/adrs/ADR-003-agents-md-standard-adoption.md new file mode 100644 index 0000000..39a7bcc --- /dev/null +++ b/.architecture/decisions/adrs/ADR-003-agents-md-standard-adoption.md @@ -0,0 +1,539 @@ +# ADR-003: Adoption of Agents.md Standard + +## Status + +Accepted + +**Implementation Date**: 2025-11-20 +**Completed Phases**: Phase 1-3 (Immediate implementation) +**Deferred Phases**: Phase 4 (Awaiting trigger conditions) + +## Context + +The AI Software Architect framework currently provides AI assistant integration through: +- **CLAUDE.md** - Claude Code-specific instructions stored in project root +- **.coding-assistants/** directory - Assistant-specific configurations for Claude, Cursor, Copilot, etc. +- **.architecture/** directory - Architecture documentation, decisions, and reviews + +This approach works well for Claude Code users but presents challenges: + +1. **Limited Cross-Platform Discoverability**: Each AI assistant must be explicitly configured. Non-Claude users face friction adopting the framework. + +2. **No Industry Standard Alignment**: While CLAUDE.md is Claude-specific, there's no universal entry point that all AI assistants recognize. + +3. **Documentation Fragmentation**: Setup and usage instructions are duplicated across multiple assistant-specific files. + +4. **Scaling Challenges**: Each new AI assistant requires custom integration work and documentation. + +### The Agents.md Standard + +[Agents.md](https://agents.md/) is an emerging industry standard (20,000+ projects) that provides: + +- **Predictable Location**: A dedicated file that AI agents automatically look for +- **Cross-Platform Compatibility**: Works with OpenAI Codex, Google Jules, Cursor, VS Code AI, Claude, and others +- **Clear Separation**: Distinguishes human documentation (README.md) from agent instructions (AGENTS.md) +- **Monorepo Support**: Nested AGENTS.md files for subprojects with tailored instructions +- **Standard Format**: Markdown with common sections (setup, build, test, conventions, security) + +### Gap Analysis + +**Current State:** +- Framework supports multiple AI assistants conceptually +- Each assistant needs custom configuration +- No universal entry point + +**Desired State:** +- Any AI assistant can discover and use the framework +- Clear separation between cross-platform and assistant-specific features +- Reduced adoption friction + +### Architectural Alignment + +This decision aligns with our principle of **Domain-Centric Design**: Our domain is "collaborative software architecture with AI assistants." Adopting a standard that makes architecture practices accessible to any AI assistant directly serves this domain. + +## Decision Drivers + +* **Broader Adoption**: Make framework accessible to all AI assistants, not just Claude Code +* **Industry Standards**: Align with established patterns used by 20,000+ projects +* **Reduced Friction**: Lower barrier to entry for projects using different AI tools +* **Future-Proofing**: Ready for new AI assistants without framework changes +* **Clear Boundaries**: Separate cross-platform features from assistant-specific capabilities +* **Maintainability**: Single source of truth for cross-platform instructions +* **Architectural Principle**: "Pragmatic Simplicity" - use existing standards rather than custom solutions + +## Decision + +We will adopt the **Agents.md standard** as a complementary layer to our existing assistant integration, not as a replacement. + +**Implementation Approach:** + +``` +Project Root +├── AGENTS.md (New: Cross-platform agent instructions) +├── CLAUDE.md (Existing: Claude-specific enhancements) +├── README.md (Existing: Human-focused documentation) +├── .architecture/ (Existing: Architecture artifacts) +└── .coding-assistants/ (Existing: Assistant-specific configs) +``` + +**Content Distribution Strategy:** + +| Topic | AGENTS.md | CLAUDE.md | .architecture/ | +|-------|-----------|-----------|----------------| +| Framework overview | ✅ Brief (2-3 sentences) | ✅ Detailed | ❌ | +| Setup process | ✅ Generic | ✅ Claude-specific | ❌ | +| Architecture reviews | ✅ How to request | ✅ Claude Skills | ✅ Templates | +| ADR creation | ✅ Basic process | ✅ MCP tools | ✅ Templates | +| Members & roles | ❌ Link only | ❌ Link only | ✅ Full content | +| Principles | ❌ Link only | ❌ Link only | ✅ Full content | +| Pragmatic mode | ✅ How to enable | ✅ Detailed behavior | ✅ Configuration | + +**AGENTS.md Structure (Minimal Implementation):** + +```markdown +# AI Software Architect Framework + +Brief overview (2-3 sentences) + +## Setup + +Generic setup instructions that work for any AI assistant + +## Core Workflows + +- Requesting architecture reviews +- Creating ADRs +- Getting specialist reviews +- Enabling pragmatic mode + +## Architecture Principles + +Link to .architecture/principles.md + +## Build & Test + +Standard commands for the framework itself (if applicable) + +## Assistant-Specific Features + +- Claude Code: See CLAUDE.md for Skills and MCP integration +- Cursor: See .coding-assistants/cursor/README.md +- Copilot: See .coding-assistants/codex/README.md +``` + +**Architectural Components Affected:** + +* **New**: `AGENTS.md` in project root +* **Modified**: `.architecture/templates/` - Add AGENTS.md template for project setup +* **Modified**: `CLAUDE.md` - Add header explaining relationship to AGENTS.md +* **Modified**: Setup process in CLAUDE.md - Generate AGENTS.md during project setup +* **No Change**: `.architecture/` directory structure +* **No Change**: `.coding-assistants/` directory structure + +**Interface Changes:** + +* AI assistants gain cross-platform entry point via AGENTS.md +* CLAUDE.md explicitly extends AGENTS.md rather than being standalone +* Setup process generates both AGENTS.md and CLAUDE.md +* Clear documentation of which file to update for different scenarios + +## Consequences + +### Positive + +* **Broader Reach**: Framework becomes accessible to all AI assistants, not just Claude Code +* **Standards Compliance**: Aligns with industry-standard pattern (20,000+ projects) +* **Lower Adoption Friction**: Projects using Cursor, Copilot, Jules, etc. can adopt framework more easily +* **Future-Proof**: New AI assistants work immediately without framework changes +* **Clear Separation**: Distinguishes cross-platform vs. assistant-specific features +* **Better Discoverability**: AI assistants automatically look for AGENTS.md +* **Maintains Claude Advantages**: Claude-specific features (Skills, MCP) remain in CLAUDE.md +* **Minimal Overhead**: Single additional file with well-defined scope +* **Principle Alignment**: Uses existing standard rather than inventing custom solution + +### Negative + +* **Additional File**: One more file in project root (though standard location) +* **Maintenance Burden**: Two documentation files need updating (mitigated by clear boundaries) +* **Potential Confusion**: Developers need to know AGENTS.md vs CLAUDE.md (mitigated by clear documentation) +* **Duplication Risk**: Risk of duplicating content between files (mitigated by cross-references) +* **Implementation Effort**: Update setup process and create templates (~2-4 hours) +* **Limited Examples**: Starting with minimal AGENTS.md, may need expansion (track via deferrals) + +### Neutral + +* **Documentation Distribution**: Content moves from single file to two files with clear boundaries +* **Setup Process Changes**: Projects get both AGENTS.md and CLAUDE.md +* **Learning Curve**: Users of other assistants need to understand framework structure +* **Cross-References**: Files reference each other for complete picture + +## Implementation + +### Phase 1: Create AGENTS.md Template (Immediate) + +**Deliverables:** +* Create `.architecture/templates/AGENTS.md` template +* Define content structure (~100-150 lines) +* Include placeholders for project-specific customization + +**Timeline:** 1-2 hours + +**Tasks:** +- [ ] Write AGENTS.md template with standard sections +- [ ] Define cross-platform setup instructions +- [ ] Document core workflows (reviews, ADRs, specialist reviews) +- [ ] Add references to assistant-specific documentation +- [ ] Include pragmatic mode activation instructions + +### Phase 2: Update CLAUDE.md (Immediate) + +**Deliverables:** +* Add header to CLAUDE.md explaining relationship to AGENTS.md +* Reference AGENTS.md for core concepts +* Emphasize CLAUDE.md covers Claude-specific enhancements + +**Timeline:** 30 minutes + +**Tasks:** +- [ ] Add header section to CLAUDE.md +- [ ] Remove content that should move to AGENTS.md +- [ ] Add cross-references to AGENTS.md where appropriate +- [ ] Update "how to use this file" guidance + +### Phase 3: Update Setup Process (Immediate) + +**Deliverables:** +* Modify CLAUDE.md setup instructions to generate AGENTS.md +* Customize AGENTS.md based on project analysis +* Ensure both files are created during framework setup + +**Timeline:** 1 hour + +**Tasks:** +- [ ] Update setup recognition in CLAUDE.md +- [ ] Add AGENTS.md generation step +- [ ] Customize AGENTS.md template based on project tech stack +- [ ] Test setup process with sample project +- [ ] Verify both files are properly created + +### Phase 4: Documentation & Testing (Deferred) + +**Trigger Conditions:** +- First non-Claude user attempts framework adoption +- Confusion about AGENTS.md vs CLAUDE.md content boundaries +- 3+ questions about which file to update + +**Potential Tasks** (deferred): +- Create comprehensive guide explaining file relationships +- Document "which file do I update" decision tree +- Create examples for different AI assistants using AGENTS.md +- Test framework with Cursor, Copilot, Jules, etc. +- Gather feedback from multi-assistant usage + +**Justification for Deferral:** +Cannot validate cross-platform functionality without actual users of other assistants. Better to wait for real usage patterns to inform documentation than to create speculative examples. + +## Alternatives Considered + +### Alternative 1: Continue with CLAUDE.md Only + +**Description**: Maintain current approach with only CLAUDE.md, document how other assistants should adapt it. + +**Pros:** +* No implementation effort required +* No additional maintenance burden +* Single file to maintain +* No risk of confusion or duplication + +**Cons:** +* No alignment with industry standards +* Higher friction for non-Claude users +* Each assistant needs custom documentation +* Doesn't scale to new AI assistants +* Misses discoverability benefits + +**Rejected**: Insufficient - limits framework reach and requires custom work for each assistant + +### Alternative 2: Replace CLAUDE.md with AGENTS.md + +**Description**: Remove CLAUDE.md entirely, put everything in AGENTS.md with sections for different assistants. + +**Pros:** +* Single file to maintain +* All assistant instructions in one place +* No cross-referencing needed + +**Cons:** +* Loses Claude-specific optimizations (Skills, MCP, hooks) +* File becomes very large and complex +* Mixes cross-platform with assistant-specific content +* Harder to find relevant information +* Doesn't leverage Claude's advanced capabilities + +**Rejected**: Throws away Claude Code's unique strengths, creates maintenance burden + +### Alternative 3: Create Assistant-Specific AGENTS.md Files + +**Description**: Create AGENTS.md, AGENTS-CLAUDE.md, AGENTS-CURSOR.md, etc. + +**Pros:** +* Each assistant gets tailored instructions +* Clear separation per assistant +* Can optimize for each tool + +**Cons:** +* Not aligned with Agents.md standard (expects single file) +* High maintenance burden (multiple files) +* Duplication across files +* Non-standard approach confuses assistants +* Violates "single entry point" benefit + +**Rejected**: Doesn't follow standard, creates excessive maintenance burden + +### Alternative 4: Minimal AGENTS.md + Keep CLAUDE.md (Selected) + +**Description**: Create minimal AGENTS.md for cross-platform instructions, keep CLAUDE.md for Claude-specific features. + +**Pros:** +* Standards compliant (Agents.md) +* Leverages Claude's unique capabilities (CLAUDE.md) +* Clear separation of concerns +* Minimal maintenance burden +* Low implementation effort +* Future-proof for new assistants + +**Cons:** +* Two files instead of one +* Need to define clear boundaries +* Risk of some duplication + +**Selected**: Best balance of standards compliance, maintainability, and assistant-specific optimization + +### Alternative 5: Defer Until Real Need + +**Description**: Wait until non-Claude users request framework support before creating AGENTS.md. + +**Pros:** +* Zero effort now +* Informed by real user needs +* May never be needed + +**Cons:** +* Higher friction for potential adopters today +* Reactive rather than proactive +* Misses opportunity to align with standards early +* May slow adoption unnecessarily + +**Partially Rejected**: While waiting for detailed cross-assistant documentation makes sense (deferred to Phase 4), creating basic AGENTS.md now enables adoption and aligns with standards at low cost. + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +**Overall Decision Complexity Assessment**: + +This decision introduces a single additional file (AGENTS.md) to align with an industry standard used by 20,000+ projects. The implementation is intentionally minimal (~100-150 lines) with clear boundaries. This is solving a current problem (friction for non-Claude users) with a proven standard rather than a custom solution. + +**Decision Challenge**: + +**Proposed Decision**: "Adopt Agents.md standard as complementary layer to CLAUDE.md" + +**Necessity Assessment**: 7/10 + +- **Current need (6/10)**: Framework currently works fine for Claude Code users. However, non-Claude users face friction. We support multiple assistants conceptually but lack universal entry point. Not urgent but actively limiting adoption. + +- **Future need (8/10)**: AI assistant ecosystem is rapidly expanding (OpenAI Codex, Google Jules, Cursor, VS Code AI, etc.). Industry standard (20K+ projects) suggests this is becoming table stakes. Framework's value proposition is "collaborative architecture with AI assistants" - limiting to one assistant contradicts this. + +- **Cost of waiting (4/10)**: Framework works today without AGENTS.md. However, every potential adopter using non-Claude assistants faces friction. Adoption grows slower. May need to answer "how do I use this with Cursor?" repeatedly. Cost is opportunity cost, not technical debt. + +- **Evidence of need**: Industry standard with 20,000+ projects demonstrates clear demand. Framework explicitly supports multiple assistants (.coding-assistants/ directory exists) but lacks entry point. + +**Complexity Assessment**: 3/10 + +- **Added complexity (3/10)**: Single additional file in project root. Well-defined boundaries via content distribution table. Cross-references keep files synchronized. Minimal duplication risk with clear separation. + +- **Maintenance burden (3/10)**: One additional file to maintain. However, content boundaries are clear (cross-platform vs. Claude-specific). Cross-references prevent drift. Standard format means less decision-making about structure. + +- **Learning curve (2/10)**: Developers need to understand "AGENTS.md for all assistants, CLAUDE.md for Claude features." Clear with simple explanation. Standard location (project root) is familiar. Header in CLAUDE.md explains relationship. + +- **Dependencies introduced (1/10)**: No new dependencies. Using existing standard. Both files are plain markdown. No tooling required. + +**Alternative Analysis**: + +- Alternative 1 (CLAUDE.md only): Simpler (0 additional files) but doesn't solve non-Claude adoption friction. This is maintaining status quo, not solving problem. +- Alternative 2 (Replace CLAUDE.md): Loses Claude-specific optimizations. Not simpler, just different structure. +- Alternative 3 (Multiple AGENTS-*.md files): More complex (multiple files), violates standard. +- Alternative 5 (Defer entirely): Simpler now but misses low-cost opportunity to align with standards. + +Selected alternative is genuinely simpler than alternatives 2 & 3, and actively solves problem that alternative 1 & 5 leave unsolved. + +**Simpler Alternative Proposal**: + +The selected approach (minimal AGENTS.md) already is the simplest approach that solves the problem: + +1. **Minimal Content** (~100-150 lines vs. comprehensive documentation) +2. **Clear Boundaries** (content distribution table prevents scope creep) +3. **Deferred Documentation** (Phase 4 waits for real usage) +4. **Leverages Standard** (don't invent custom format) +5. **Preserves Existing** (CLAUDE.md remains for Claude features) + +**Potential Simplification**: +Could defer entirely and create AGENTS.md only when first non-Claude user requests it. However, this has marginal benefit (saves 2-3 hours) at cost of ongoing friction and repeated explanations. Creating minimal AGENTS.md now is appropriate scope. + +**Recommendation**: ✅ Approve decision with simplifications already applied + +**Justification**: + +This decision appropriately balances current need with future positioning: + +1. **Current Need is Real**: Framework explicitly supports multiple assistants but lacks universal entry point. Non-Claude users face friction today. + +2. **Solution is Standard**: Not inventing custom approach. Using industry standard with 20,000+ projects proves viability and discoverability. + +3. **Implementation is Minimal**: ~2-4 hours total effort. Single additional file. Clear boundaries prevent scope creep. + +4. **Complexity is Low**: 3/10 complexity score. Adding one well-defined file to project root. Standard format reduces decision-making. + +5. **Appropriate Deferrals**: Phase 4 (comprehensive docs, cross-assistant testing) properly deferred until real usage demands it. + +6. **Preserves Claude Advantages**: Doesn't compromise Claude Code's unique capabilities (Skills, MCP, hooks). + +**Pragmatic Score**: +- **Necessity**: 7/10 +- **Complexity**: 3/10 +- **Ratio**: 0.43 *(Target: <1.5 for balanced mode)* ✅ + +**Overall Assessment**: + +This is appropriate engineering for current needs. Framework's value proposition is multi-assistant support, but lacks standard entry point. Solution uses proven standard rather than custom approach. Implementation is minimal with clear boundaries. Comprehensive documentation appropriately deferred until real usage. Complexity-to-necessity ratio (0.43) well below threshold (1.5). + +**Not over-engineering because:** +- Solving real current problem (non-Claude user friction) +- Using standard solution, not custom invention +- Minimal implementation (one file, ~150 lines) +- Appropriate deferrals (extensive docs wait for real usage) +- Low complexity-to-necessity ratio (0.43) + +**Recommendation**: Implement Phase 1-3 immediately, defer Phase 4 until triggered by real usage. + +## Validation + +**Acceptance Criteria:** + +**Phase 1-3 (Immediate):** +- [ ] AGENTS.md template created in `.architecture/templates/` +- [ ] Template includes all standard sections (overview, setup, workflows, references) +- [ ] Content boundaries documented in ADR (completed via table above) +- [ ] CLAUDE.md header added explaining relationship to AGENTS.md +- [ ] Setup process generates AGENTS.md during project initialization +- [ ] AGENTS.md customized based on project technology stack +- [ ] Both files maintained during framework setup +- [ ] Cross-references present in both files + +**Phase 4 (Deferred):** +- [ ] Comprehensive "which file" decision tree (trigger: 3+ questions) +- [ ] Examples for Cursor, Copilot, Jules usage (trigger: first non-Claude adopter) +- [ ] Cross-assistant testing (trigger: 2+ assistants actively using framework) +- [ ] Multi-assistant usage guide (trigger: user requests) + +**Testing Approach:** + +**Phase 1-3:** +1. Test setup process creates both AGENTS.md and CLAUDE.md +2. Verify content boundaries match table in ADR +3. Confirm cross-references work correctly +4. Review AGENTS.md template with sample projects (various tech stacks) +5. Verify AGENTS.md contains only cross-platform instructions + +**Phase 4 (when triggered):** +1. Test framework usage with multiple AI assistants +2. Gather feedback from non-Claude users +3. Identify confusion points about file boundaries +4. Validate cross-assistant workflows +5. Measure adoption friction before/after + +## References + +* [Agents.md Standard](https://agents.md/) - Industry standard for AI agent instructions +* [Architectural Principles](../../principles.md) - Pragmatic Simplicity, Domain-Centric Design +* [Framework Members](../../members.yml) - Architecture review team including Pragmatic Enforcer +* [ADR-002: Pragmatic Guard Mode](./ADR-002-pragmatic-guard-mode.md) - Related decision on pragmatic approach +* [CLAUDE.md](../../../CLAUDE.md) - Current Claude-specific instructions +* [.coding-assistants/](../../../.coding-assistants/) - Existing multi-assistant support + +## Implementation Notes + +**File Location Decisions:** +- AGENTS.md: Project root (standard location per Agents.md spec) +- Template: `.architecture/templates/AGENTS.md` (follows existing template pattern) +- No nested AGENTS.md files initially (defer until monorepo usage emerges) + +**Content Boundary Rules:** + +**Always in AGENTS.md:** +- Framework overview and purpose +- Generic setup instructions +- Core workflows (reviews, ADRs, specialist reviews) +- Pragmatic mode activation (cross-platform) +- Links to .architecture/ artifacts + +**Always in CLAUDE.md:** +- Claude Skills installation and usage +- MCP server integration +- Claude-specific slash commands +- Hooks configuration +- Claude Code-specific request patterns + +**In Both (with different detail levels):** +- Setup process (generic in AGENTS.md, Claude-optimized in CLAUDE.md) +- Architecture reviews (how to request in AGENTS.md, Skills usage in CLAUDE.md) +- ADR creation (basic process in AGENTS.md, MCP tools in CLAUDE.md) + +**Migration Strategy:** + +No migration needed for existing projects - they can continue using CLAUDE.md only. New projects created with updated setup process get both files. Existing projects can add AGENTS.md if they want to support multiple assistants. + +**Rollout Plan:** + +1. **Week 1**: Create templates and update setup process +2. **Week 1**: Test with sample project setup +3. **Week 1**: Update framework documentation +4. **Ongoing**: Monitor for Phase 4 trigger conditions +5. **As needed**: Expand AGENTS.md based on real usage patterns + +--- + +**Decision Date**: 2025-11-20 +**Implementation Date**: 2025-11-20 +**Status**: Accepted - Phase 1-3 Complete +**Author**: Collaborative architectural analysis (Systems Architect, AI Engineer, Domain Expert, Maintainability Expert, Security Specialist, Pragmatic Enforcer) + +## Implementation Results + +**Phase 1-3 Completed**: 2025-11-20 (~1.5 hours) + +**Deliverables:** +- ✅ `.architecture/templates/AGENTS.md` - 9.7 KB template with placeholders +- ✅ `CLAUDE.md` - Updated with "About This File" section and AGENTS.md references +- ✅ Setup process modified to generate AGENTS.md during project initialization +- ✅ Content boundaries validated against distribution table +- ✅ Cross-references implemented in both files + +**Validation:** +- All Phase 1-3 acceptance criteria met +- Content distribution matches ADR specification +- Pragmatic score maintained: 0.43 (complexity/necessity ratio) +- Implementation time within estimates + +**Phase 4 Status**: Deferred, tracking trigger conditions: +- First non-Claude adopter feedback +- 3+ questions about file boundaries +- 2+ assistants actively using framework +- User requests for comprehensive cross-assistant guide + +**Next Steps**: +- Monitor Phase 4 trigger conditions +- Gather feedback from new framework installations +- Track adoption across different AI assistants +- Update documentation based on real usage patterns diff --git a/.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md b/.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md new file mode 100644 index 0000000..d5e8587 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md @@ -0,0 +1,560 @@ +# ADR-004: Implementation Command with Configuration + +## Status + +Accepted + +**Implementation Date**: 2025-11-20 + +## Context + +Users of the AI Software Architect framework currently need to specify implementation methodology, coding influences, and practices in every implementation session through lengthy prompts. + +### Current User Workflow + +A typical implementation request looks like: + +> "Implement the next steps iteratively as the software architects, specifically the pragmatic enforcer. Follow TDD taking inspiration from Gary Bernhardt (from Destroy All Software). Refactor as needed following best-practices taking inspiration from Sandi Metz, Kent Beck, and Martin Fowler. Glean ruby design inspiration from Jeremy Evans and Vladimir Dementyev." + +**Characteristics:** +- **Verbose**: 40+ words to specify methodology and influences +- **Repetitive**: Same guidance needed every implementation session +- **Inconsistent**: Easy to forget key influences or practices +- **Context Loss**: Preferences don't persist between sessions +- **Manual**: Requires careful prompt crafting each time + +### Problem Impact + +**User Pain Points:** +1. **Prompt Fatigue**: Typing long prompts repeatedly +2. **Inconsistency**: Different sessions may omit influences +3. **Context Loss**: No memory of successful approaches +4. **Onboarding Friction**: New team members don't know team standards +5. **Quality Variance**: Implementation quality depends on prompt completeness + +**Time Cost:** +- Average prompt: ~40 words, ~30 seconds to type +- Multiple implementations per day +- Cumulative: Hours per week on repetitive prompting + +### Desired Workflow + +**Simple command:** +``` +"Implement authentication as the architects" +``` + +**AI behavior:** +1. Recognizes implementation command +2. Reads `.architecture/config.yml` implementation section +3. Applies configured methodology (TDD, BDD, etc.) +4. References configured influences (Kent Beck, Sandi Metz, etc.) +5. Uses language-specific practices +6. Implements with full context automatically + +**Result:** +- 90% reduction in prompt length (40 words → 4 words) +- 100% consistency (config always applied) +- Zero context loss (config persists) +- Better quality (systematic application of best practices) + +### Existing Pattern in Framework + +This follows the **pragmatic_mode** pattern in config.yml: + +```yaml +# Existing: Pragmatic Mode +pragmatic_mode: + enabled: true + intensity: balanced + apply_to: + individual_reviews: true +``` + +```yaml +# New: Implementation Configuration +implementation: + enabled: true + methodology: "TDD" + influences: [...] +``` + +Same structure, same file, same configuration-driven behavior pattern. + +## Decision Drivers + +* **Real User Need**: User has this workflow today (not speculative) +* **High Value**: 90% reduction in prompt length, consistent quality +* **Low Complexity**: Follows existing config.yml pattern +* **Backward Compatible**: Optional feature, doesn't affect existing projects +* **Cross-Assistant**: Works with all AI assistants via AGENTS.md +* **Quality Improvement**: Systematic application of best practices +* **Knowledge Capture**: Team standards documented in config +* **Pragmatic Assessment**: Necessity 8/10, Complexity 3/10, Ratio 0.375 ✅ + +## Decision + +We will implement an **"Implement as the Architects" command** backed by configuration in `.architecture/config.yml` that specifies: + +1. **Development Methodology**: TDD, BDD, DDD, Test-Last, Exploratory, or custom +2. **Coding Influences**: Thought leaders and authorities (Kent Beck, Sandi Metz, etc.) +3. **Language-Specific Practices**: Idioms, conventions, frameworks +4. **Testing Approach**: Framework, style, coverage goals +5. **Refactoring Guidelines**: When and how to refactor +6. **Quality Standards**: Definition of done +7. **Security Practices**: Mandatory security requirements + +**Command Recognition:** +- "Implement X as the architects" → Apply configuration +- "Implement as the architects" → Apply with prior context +- "Implement X as [specific architect]" → Use member's methodology + +**Configuration-Driven Behavior:** +``` +User Command → Read config.yml → Extract implementation section → Apply methodology + influences + practices → Implement +``` + +**Architectural Components Affected:** +* `.architecture/templates/config.yml` - Add implementation section +* `CLAUDE.md` - Add command recognition and application logic +* `AGENTS.md` - Document cross-platform usage +* `.architecture/members.yml` - Optional: methodology fields for members + +**Interface Changes:** +* New command pattern recognized by AI assistants +* Configuration controls implementation behavior +* Optional per-project customization +* Integration with existing architecture process + +## Implementation + +### Phase 1: Core Feature (Implement Now - ~1 hour) + +**Deliverable 1: Enhanced config.yml Template** (20 minutes) + +Add implementation section to `.architecture/templates/config.yml`: + +```yaml +# ============================================================================== +# IMPLEMENTATION GUIDANCE +# ============================================================================== +# Configure how AI assistants implement features when you use: +# "Implement X as the architects" + +implementation: + enabled: true + methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory + + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + + languages: + ruby: + style_guide: "Rubocop" + idioms: "Blocks over loops, meaningful names" + + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "Code reviewed" +``` + +**Deliverable 2: Command Recognition in CLAUDE.md** (20 minutes) + +Add "Implementation Command Recognition" section: +- Pattern recognition logic +- Configuration reading process +- Methodology application guidance +- Examples of usage + +**Deliverable 3: Cross-Platform Documentation in AGENTS.md** (20 minutes) + +Add "Implementing Features with Configured Methodology" section: +- How to configure +- How to use commands +- Example configurations for common workflows +- Cross-assistant compatibility notes + +**Timeline:** 1 hour total + +### Phase 2: Deferred Enhancements + +**Track Trigger Conditions:** + +**Global User Configuration** (~/.architecture/config.yml) +- **Trigger**: 3+ users request personal defaults across projects +- **Trigger**: "How do I set this for all my projects?" +- **Effort**: ~2 hours + +**Member Methodology Fields** (members.yml) +- **Trigger**: Users want "Implement X as [specific member]" +- **Trigger**: Need different methodologies per architect +- **Effort**: ~1 hour + +**Implementation Validation/Reporting** +- **Trigger**: Users request compliance checking +- **Trigger**: "Verify TDD was followed" +- **Effort**: ~4 hours + +**Language-Specific Profiles** +- **Trigger**: Multi-language projects need per-language configs +- **Trigger**: "Different methodology for frontend vs backend" +- **Effort**: ~3 hours + +## Configuration Structure + +### Minimal Configuration (Quick Start) + +```yaml +implementation: + enabled: true + methodology: "TDD" + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" +``` + +### Complete Configuration (Full Options) + +```yaml +implementation: + enabled: true + + # Primary development methodology + methodology: "TDD" + + # Coding influences + influences: + - "Kent Beck - TDD by Example (methodology)" + - "Gary Bernhardt - Destroy All Software (TDD techniques)" + - "Sandi Metz - POODR, 99 Bottles (OO design)" + - "Martin Fowler - Refactoring (patterns)" + - "Jeremy Evans - Roda, Sequel (Ruby idioms)" + - "Vladimir Dementyev - Modern Ruby practices" + + # Language-specific practices + languages: + ruby: + style_guide: "Rubocop" + idioms: "Prefer blocks, meaningful names, Ruby 3+ features" + frameworks: + rails: "Follow conventions, service objects for complex logic" + + # Testing approach + testing: + framework: "RSpec" + style: "Outside-in TDD (Detroit school)" + approach: "Mock judiciously, prefer real objects" + speed: "Fast unit tests (<100ms)" + + # Refactoring guidelines + refactoring: + when: + - "After tests green (red-green-REFACTOR)" + - "When code smells emerge" + - "Rule of Three: refactor on third occurrence" + principles: + - "Small methods (≤5 lines per Sandi Metz)" + - "Clear names over comments" + + # Quality standards + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "No code smells" + - "Code reviewed" + priorities: + - "Clarity first" + - "Simplicity second" + - "Performance third" + + # Security practices (always applied) + security: + mandatory_practices: + - "Input validation" + - "Output encoding" + - "Parameterized queries" +``` + +### Example: User's Ruby TDD Workflow + +```yaml +implementation: + enabled: true + methodology: "TDD" + + influences: + - "Kent Beck - TDD by Example" + - "Gary Bernhardt - Destroy All Software" + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + - "Jeremy Evans - Roda, Sequel patterns" + - "Vladimir Dementyev - Modern Ruby" + + languages: + ruby: + style_guide: "Rubocop" + idioms: "Blocks over loops, meaningful names" + + testing: + framework: "RSpec" + style: "Outside-in TDD" + + refactoring: + when: ["After tests green", "When smells emerge"] + principles: ["Small methods", "Clear names"] + + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "Code reviewed" +``` + +## Alternatives Considered + +### Alternative 1: Do Nothing (Status Quo) + +**Description**: Continue with manual prompts each session + +**Pros:** +* Zero implementation effort +* No added complexity +* No maintenance burden + +**Cons:** +* User continues repetitive prompting forever +* Quality inconsistency continues +* No team standards documentation +* Context loss between sessions + +**Rejected**: Doesn't solve user's real, ongoing pain point + +### Alternative 2: Documentation File (implementation.md) + +**Description**: Create markdown file with implementation guidance for AI to read + +**Pros:** +* Human-readable prose +* Can include detailed examples +* Flexible format + +**Cons:** +* Harder for AI to parse than YAML +* Separate file to maintain +* Not configuration-driven (less structured) +* Doesn't follow existing patterns + +**Rejected**: More complex than config approach, doesn't leverage existing patterns + +### Alternative 3: Member Enhancement Only + +**Description**: Add methodology fields to members.yml, no separate config + +**Pros:** +* Single file modification +* Leverages existing member system + +**Cons:** +* Mixes architecture members with implementation preferences +* Less flexible (tied to member roles) +* Doesn't fit user's workflow (they want general config, not member-specific) + +**Rejected**: Conflates two concerns (architecture perspective vs implementation methodology) + +### Alternative 4: Configuration Approach (Selected) + +**Description**: Add implementation section to config.yml, following pragmatic_mode pattern + +**Pros:** +* Follows existing pattern (pragmatic_mode) +* Leverages existing config system +* Clear, structured YAML (easy AI parsing) +* Optional (backward compatible) +* Simple to maintain +* Low implementation effort (~1 hour) + +**Cons:** +* One more configuration section +* Requires documentation + +**Selected**: Best balance of simplicity, effectiveness, and consistency with existing framework + +## Consequences + +### Positive + +* **Dramatic Efficiency Gain**: 90% reduction in prompt length (40 words → 4 words) +* **Consistent Quality**: Methodology applied systematically to all implementations +* **Knowledge Preservation**: Team standards documented in version control +* **Better Onboarding**: New developers see documented practices +* **Context Persistence**: Preferences don't get lost between sessions +* **Cross-Session Consistency**: Same approach across all implementations +* **Team Alignment**: Shared configuration ensures team consistency +* **Quality Improvement**: Best practices (Metz, Fowler, Beck) applied systematically +* **Faster Implementation**: Less time crafting prompts, more time building +* **Backward Compatible**: Existing projects unaffected (optional feature) +* **Simple Implementation**: 1 hour effort for high-value feature +* **Follows Existing Pattern**: Consistent with pragmatic_mode design +* **Cross-Assistant Compatible**: Works with Claude, Cursor, Copilot, etc. + +### Negative + +* **Configuration Overhead**: Users must configure once (small one-time cost) +* **Learning Curve**: Users need to understand config structure (mitigated by examples) +* **Maintenance**: Config needs updates as practices evolve (natural evolution) +* **Potential Rigidity**: Config might feel constraining (mitigated by optional flag) +* **AI Dependency**: Relies on AI reading/applying config correctly (testable) + +### Neutral + +* **New Command Pattern**: Adds to framework's command vocabulary +* **Configuration Growth**: config.yml gains another section (follows existing pattern) +* **Documentation Addition**: AGENTS.md and CLAUDE.md gain new sections +* **Usage Evolution**: Changes how users interact with framework during implementation + +## Pragmatic Enforcer Analysis + +**Mode**: Balanced + +**Overall Decision Complexity Assessment**: +This decision adds a configuration section following an existing pattern (pragmatic_mode). Minimal implementation (~1 hour) for high user value (90% prompt reduction). Solves a real, current user pain point with a simple, proven approach. + +**Decision Challenge**: None - this is appropriately scoped + +**Proposed Decision**: "Add implementation command with config.yml configuration" + +**Necessity Assessment**: 8/10 +- **Current need**: User has this workflow today (repetitive prompts) +- **Future need**: Team standards documentation, onboarding support +- **Cost of waiting**: Ongoing pain, quality inconsistency +- **Evidence of need**: User explicitly requests, describes actual workflow + +**Complexity Assessment**: 3/10 +- **Added complexity**: Single config section (~50 lines) +- **Maintenance burden**: Update config as preferences evolve (natural) +- **Learning curve**: Similar to pragmatic_mode (existing pattern) +- **Dependencies introduced**: None (uses existing config system) + +**Alternative Analysis**: +- Status quo: Simpler (zero effort) but doesn't solve problem +- Documentation file: More complex (new file, parsing prose) +- Member enhancement: Conflates concerns +- **Configuration: Simplest solution that solves problem** + +**Simpler Alternative Proposal**: None - this is already minimal + +**Recommendation**: ✅ Approve decision as proposed + +**Justification**: +This is pragmatic engineering - solving a real current need with minimal implementation following existing patterns. High value (90% prompt reduction) for low cost (1 hour, simple config section). Not over-engineering because: +- Solves actual user workflow (not speculation) +- Follows existing pattern (configuration-driven) +- Minimal scope (just config + command) +- Defers enhancements until triggered + +**Pragmatic Score**: +- **Necessity**: 8/10 +- **Complexity**: 3/10 +- **Ratio**: 3/8 = 0.375 ✅ (well below 1.5 threshold for balanced mode) + +**Overall Assessment**: +Appropriate engineering for real need. Simple, effective, pragmatic. + +## Validation + +**Acceptance Criteria:** + +**Phase 1 (Core Feature):** +- [ ] implementation section exists in `.architecture/templates/config.yml` +- [ ] Command recognition documented in CLAUDE.md +- [ ] Cross-platform usage documented in AGENTS.md +- [ ] Example provided for Ruby TDD workflow +- [ ] All fields properly commented and explained +- [ ] AI assistants can read and apply configuration +- [ ] User can say "Implement X as the architects" and it works +- [ ] No breaking changes to existing projects +- [ ] Setup process optionally customizes implementation config + +**Phase 2 (Deferred):** +- [ ] Global configuration (trigger conditions met) +- [ ] Member methodology fields (trigger conditions met) +- [ ] Validation/reporting (trigger conditions met) +- [ ] Language profiles (trigger conditions met) + +**Testing Approach:** + +**Manual Testing:** +1. Configure implementation section with Ruby TDD example +2. Issue command: "Implement authentication as the architects" +3. Verify AI reads configuration +4. Verify AI applies TDD methodology +5. Verify AI references influences (Kent Beck, Sandi Metz, etc.) +6. Verify tests written first +7. Verify refactoring after tests green +8. Verify Ruby idioms used + +**Evidence of Correct Application:** +- Test files exist (TDD followed) +- Tests written before implementation (git history) +- Refactoring commits separate from feature commits +- Small methods, clear names (Sandi Metz principles) +- Ruby idioms present (blocks, meaningful names) +- Rubocop passing (if configured) + +**Success Metrics:** +- Prompt length reduced from 40 words to 4 words (90% reduction) +- User satisfaction (subjective feedback) +- Code quality improvement (test coverage, style compliance) +- Consistency across implementations (code review verification) + +## References + +* [Architecture Review: Implementation Command Configuration](../../reviews/feature-implementation-command-configuration.md) +* [Architectural Principles](../../principles.md) - Pragmatic Simplicity +* [ADR-002: Pragmatic Guard Mode](./ADR-002-pragmatic-guard-mode.md) - Related configuration pattern +* [Configuration File](../../config.yml) - Existing pragmatic_mode pattern + +## Future Considerations + +The following enhancements are deferred until triggered by real usage: + +### Global User Configuration (Deferred) + +Allow users to set personal defaults in `~/.architecture/config.yml`: +- **Trigger**: 3+ users request "how do I set this for all my projects?" +- **Effort**: ~2 hours +- **Value**: Personal preferences across projects + +### Member Methodology Integration (Deferred) + +Add methodology fields to members.yml for "Implement as [member]": +- **Trigger**: Users want specific architect implementation approaches +- **Effort**: ~1 hour +- **Value**: Architect-specific implementation styles + +### Implementation Validation (Deferred) + +Verify methodology adherence via git history and code analysis: +- **Trigger**: Users request "verify TDD was followed" +- **Effort**: ~4 hours +- **Value**: Compliance checking, learning feedback + +### Language-Specific Profiles (Deferred) + +Complex multi-language projects with per-language configurations: +- **Trigger**: "Different methodology for frontend vs backend" +- **Effort**: ~3 hours +- **Value**: Polyglot project support + +--- + +**Decision Date**: 2025-11-20 +**Implementation Date**: 2025-11-20 +**Status**: Accepted - Phase 1 In Progress +**Author**: Collaborative architectural analysis (all 7 architecture team members) +**Next Steps**: Implement Phase 1 (config.yml, CLAUDE.md, AGENTS.md) diff --git a/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md b/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md new file mode 100644 index 0000000..8791af3 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md @@ -0,0 +1,263 @@ +# ADR-005: LLM Instruction Capacity Constraints + +## Status + +Accepted + +## Context + +Through analysis of HumanLayer's research-backed article "Writing a Good CLAUDE.md" (December 2024), we discovered critical limitations in LLM instruction-following capacity that directly impact the effectiveness of our framework's AI assistant documentation. + +**Key Research Findings:** +- Frontier LLMs reliably follow approximately 150-200 discrete instructions +- Claude Code's system prompt already contains ~50 instructions +- This leaves only 100-150 instructions for project-specific guidance +- LLM performance degrades when instruction density exceeds optimal capacity + +**Current State:** +- Our CLAUDE.md file contains 572 lines of documentation +- Estimated ~100 discrete instructions in current CLAUDE.md +- At or exceeding optimal instruction capacity +- Includes significant content that is rarely relevant (setup procedures, update procedures) +- No awareness of or accounting for instruction capacity constraints + +**Problem Statement:** +Without understanding and respecting LLM instruction capacity constraints, we risk: +1. Degraded AI assistant performance due to cognitive overload +2. Important instructions being ignored or deprioritized +3. Inefficient use of our limited instruction budget +4. Documentation that actively harms rather than helps AI assistant effectiveness + +**Claude Code Behavior:** +Claude Code injects a system reminder stating context "may or may not be relevant to tasks" and actively filters out non-universally-applicable instructions. This explains why task-specific procedures (like setup instructions) may not be reliably followed even when present in CLAUDE.md. + +## Decision Drivers + +* **Performance Impact**: Exceeding instruction capacity degrades AI assistant effectiveness across all workflows +* **Research-Backed**: HumanLayer findings supported by empirical evidence and industry consensus +* **Framework Scope**: As a framework for AI-assisted architecture, we must model best practices +* **User Experience**: Poor instruction density directly impacts user's experience with framework +* **Maintenance Burden**: Understanding constraints enables better documentation decisions +* **Competitive Advantage**: Optimized AI assistant onboarding differentiates our framework + +## Decision + +We formally recognize and adopt LLM instruction capacity constraints as a foundational principle for all AI assistant documentation in the AI Software Architect framework. + +**Core Principle:** +All documentation intended for AI assistant consumption (CLAUDE.md, AGENTS.md, .architecture/agent_docs/) must respect the ~150-200 instruction capacity limit, accounting for the ~50 instructions already used by Claude Code's system prompt. + +**Specific Constraints:** +1. **CLAUDE.md Target**: < 30 discrete instructions (budget for 100-line file) +2. **Total AI Documentation**: < 100 instructions across all files loaded in a single context +3. **Instruction Definition**: A discrete instruction is any directive that requires the AI to take action, make a decision, or follow a specific procedure +4. **Universal Applicability**: Only instructions that are relevant to ≥80% of interactions should be in CLAUDE.md + +**Architectural Components Affected:** +* CLAUDE.md (primary impact) +* AGENTS.md (secondary review needed) +* Future .architecture/agent_docs/ structure (guided by this constraint) +* Documentation templates and guidelines + +**Interface Changes:** +* No code interface changes +* Documentation structure changes (see ADR-006 for implementation) +* Quality standards for documentation contributions + +## Consequences + +### Positive + +* **Improved AI Performance**: Staying within instruction capacity ensures reliable instruction following +* **Better Prioritization**: Forces us to identify truly essential vs. nice-to-have documentation +* **Clearer Documentation**: Constraint drives clarity and conciseness +* **Measurable Quality**: Provides quantitative metric for documentation quality +* **Future-Proof**: Principle applies to all current and future LLMs +* **Competitive Advantage**: Optimized AI assistant effectiveness differentiates our framework +* **Educational Value**: Users learn best practices they can apply to their own projects + +### Negative + +* **Content Limitations**: Cannot include everything we might want in CLAUDE.md +* **Harder Documentation**: Writing concise, high-value content requires more effort +* **Measurement Overhead**: Need to count and evaluate instructions +* **Potential User Confusion**: Users might expect comprehensive documentation in one place +* **Migration Effort**: Existing documentation must be refactored + +### Neutral + +* **Different Structure Required**: Drives need for progressive disclosure pattern (ADR-006) +* **Documentation Becomes Multi-File**: Single CLAUDE.md splits into main file + supporting docs +* **Ongoing Maintenance**: Requires periodic review of instruction counts +* **Documentation Process Changes**: Review processes must include instruction counting + +## Implementation + +**Phase 1: Establish Measurement Standards (Immediate)** +* Define what constitutes a "discrete instruction" +* Create instruction counting methodology +* Document examples of instruction types +* Add instruction count targets to documentation guidelines + +**Phase 2: Audit Current Documentation (Week 1)** +* Count instructions in current CLAUDE.md +* Categorize by: always-relevant, frequently-relevant, rarely-relevant, task-specific +* Identify which instructions are most critical +* Identify which instructions have low ROI given their instruction cost + +**Phase 3: Refactor to Meet Constraints (Week 1-2)** +* Implement progressive disclosure pattern (ADR-006) +* Reduce CLAUDE.md to < 30 instructions +* Move task-specific content to .architecture/agent_docs/ +* Validate instruction counts in refactored structure + +**Phase 4: Establish Ongoing Governance (Week 2+)** +* Add instruction count checks to documentation review process +* Create quarterly review process for instruction relevance +* Monitor user feedback on documentation effectiveness +* Iterate based on real-world usage patterns + +## Alternatives Considered + +### Alternative 1: Ignore Instruction Capacity Constraints + +**Description:** Continue with current approach, assuming LLMs can handle arbitrary instruction density. + +**Pros:** +* No changes required +* Can include comprehensive documentation in one place +* Simpler mental model for users + +**Cons:** +* Ignores research findings +* Degraded AI assistant performance +* Framework fails to model best practices +* User experience suffers +* Competitive disadvantage + +**Decision:** Rejected. The research is clear and the performance impact is real. + +### Alternative 2: Rely Purely on Task Tool Context Loading + +**Description:** Minimal CLAUDE.md, rely entirely on Claude Code's Task tool to load relevant context when needed. + +**Pros:** +* Extreme clarity on what's always-loaded +* Maximum instruction capacity available for task-specific context +* Forces modular documentation + +**Cons:** +* Extra step for every task (launching Task tool) +* Potential performance overhead +* Less immediate access to common workflows +* May frustrate users with repeated context loading + +**Decision:** Rejected as too extreme. Balanced approach with ~30 instructions in CLAUDE.md and progressive disclosure is more user-friendly. + +### Alternative 3: Separate CLAUDE.md Per Workflow + +**Description:** Multiple CLAUDE-*.md files (CLAUDE-setup.md, CLAUDE-review.md, etc.), user activates relevant one. + +**Pros:** +* Clear separation of concerns +* Each workflow gets full instruction budget +* Easy to add new workflows + +**Cons:** +* Requires manual activation +* User confusion about which file to use +* Doesn't align with how Claude Code loads context +* More complex mental model + +**Decision:** Rejected. Doesn't align with Claude Code's context loading behavior. Progressive disclosure (ADR-006) achieves similar benefits more naturally. + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +**Overall Decision Complexity Assessment**: +This decision addresses a current, concrete problem (AI assistant performance degradation) with research-backed evidence. It adds no implementation complexity but rather constrains documentation to be simpler. This is an appropriate application of external research to improve system effectiveness. + +**Decision Challenge**: + +**Proposed Decision**: "Formally recognize and adopt LLM instruction capacity constraints (~150-200 instructions) as a foundational principle for all AI assistant documentation" + +**Necessity Assessment**: 8/10 +- **Current need**: We currently exceed optimal instruction density (572 lines, ~100 instructions) +- **Future need**: Will remain critical as framework grows and users add content +- **Cost of waiting**: Continued degraded AI assistant performance, poor user experience +- **Evidence of need**: Research-backed findings, industry consensus, explains current issues + +**Complexity Assessment**: 2/10 +- **Added complexity**: Minimal - adds a constraint, doesn't add features +- **Maintenance burden**: Low - periodic counting and review +- **Learning curve**: Low - straightforward principle to understand +- **Dependencies introduced**: None - constrains existing practices + +**Alternative Analysis**: +The alternatives were adequately considered: +- "Do nothing" (Alternative 1) properly rejected based on evidence +- "Extreme minimal" (Alternative 2) appropriately rejected as over-optimization +- "Multiple files" (Alternative 3) appropriately rejected for UX concerns + +The selected approach is the middle ground: establish the principle and apply it reasonably. + +**Simpler Alternative Proposal**: +The selected approach IS the simpler alternative. Alternative approaches were either: +- Ignoring the problem (simpler but wrong) +- Over-engineering the solution (more complex) + +This decision adds a constraint that drives simplicity rather than adding complexity. + +**Recommendation**: ✅ Approve decision + +**Justification**: +This decision is exemplary pragmatic engineering: +1. **Evidence-based**: Grounded in research, not speculation +2. **Addresses current problem**: We exceed instruction capacity now +3. **Drives simplicity**: Constraint forces clearer, more concise documentation +4. **Low complexity cost**: No implementation complexity, only documentation discipline +5. **High value**: Directly improves AI assistant effectiveness (core framework value) + +This is exactly the kind of decision pragmatic mode supports: solving a real, current problem with a simple constraint that improves quality. + +**Pragmatic Score**: +- **Necessity**: 8/10 +- **Complexity**: 2/10 +- **Ratio**: 0.25 (Well under target of <1.5) + +**Overall Assessment**: +This represents appropriate engineering for a current need. The constraint drives simplicity and quality without adding system complexity. Strong approval from pragmatic perspective. + +## Validation + +**Acceptance Criteria:** +- [x] Research findings documented +- [x] Instruction capacity limits defined +- [x] Impact on current documentation assessed +- [x] CLAUDE.md refactored to meet constraints (572 → 126 lines, ~14 instructions) +- [x] .architecture/agent_docs/ structure implemented (workflows.md, reference.md, README.md) +- [x] Instruction counting methodology defined (instruction-counting-methodology.md) +- [x] Documentation guidelines updated (documentation-guidelines.md) +- [x] Quarterly review process established (quarterly-review-process.md) + +**Testing Approach:** +* Manual instruction counting in CLAUDE.md +* User feedback on AI assistant effectiveness before/after refactoring +* Monitor task completion rates and user satisfaction +* A/B testing if feasible (users with old vs. new documentation structure) +* Track documentation maintenance burden over time + +**Success Metrics:** +* CLAUDE.md instruction count: < 30 +* CLAUDE.md line count: < 100 +* User-reported AI assistant effectiveness: > 8/10 +* Documentation relevance: > 80% of content used in > 80% of sessions + +## References + +* [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) +* [Architecture Review: CLAUDE.md Best Practices](./../reviews/claude-md-best-practices-humanlayer-article.md) +* [ADR-006: Progressive Disclosure Pattern](./ADR-006-progressive-disclosure-pattern.md) +* Research on LLM instruction-following capacity (referenced in HumanLayer article) diff --git a/.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md b/.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md new file mode 100644 index 0000000..51a02ba --- /dev/null +++ b/.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md @@ -0,0 +1,510 @@ +# ADR-006: Progressive Disclosure Pattern for AI Assistant Documentation + +## Status + +Accepted + +## Context + +Following ADR-005's establishment of LLM instruction capacity constraints, we need a concrete architectural pattern for structuring our AI assistant documentation. Our current 572-line CLAUDE.md file exceeds optimal instruction density and loads content that is rarely relevant to most user interactions. + +**Current Documentation Structure:** +``` +CLAUDE.md (572 lines, ~100 instructions) + ├── Setup procedures (used once per project) + ├── Update procedures (used rarely) + ├── Implementation methodology (used occasionally) + ├── Review workflows (used frequently) + └── Pragmatic mode details (used occasionally) +``` + +**Problems with Current Structure:** +1. **Instruction Waste**: Setup procedures (~20 instructions) loaded in every interaction but used once per project +2. **Cognitive Overload**: All content presented equally, no prioritization +3. **Maintenance Burden**: Monolithic file difficult to update and review +4. **Performance Impact**: Claude Code spends time processing rarely-relevant instructions +5. **User Experience**: No clear path to task-specific guidance + +**Progressive Disclosure Concept:** +Progressive disclosure is a UX pattern where information is revealed incrementally, showing only what's immediately relevant and providing paths to deeper details. This pattern: +- Reduces cognitive load +- Improves discoverability +- Enhances maintainability +- Aligns with how users actually work + +**Industry Best Practices:** +HumanLayer's research-backed recommendations: +- Main CLAUDE.md: < 60-100 lines, high-leverage content only +- Task-specific docs: Separate markdown files referenced from main file +- Use `file:line` pointers, not embedded content +- Match user's task language in references + +**Claude Code Behavior:** +- Injects "may or may not be relevant" system reminder +- Actively filters non-universally-applicable instructions +- Task tool can load additional context when needed +- Processes main CLAUDE.md for every interaction + +## Decision Drivers + +* **Instruction Capacity**: Must respect ~30 instruction limit for CLAUDE.md (ADR-005) +* **User Workflow Patterns**: Most interactions involve reviews and ADRs, not setup +* **Maintainability**: Modular structure easier to maintain than monolithic file +* **Performance**: Reducing main file size improves processing time +* **Discoverability**: Clear pointers help users find relevant guidance +* **Industry Alignment**: Matches research-backed best practices +* **Framework Philosophy**: Models excellent practices for users to adopt + +## Decision + +We adopt the **Progressive Disclosure Pattern** for all AI assistant documentation in the AI Software Architect framework. + +**Core Pattern:** +1. **Primary File (CLAUDE.md)**: Minimal, always-relevant content with clear pointers to detailed guides +2. **Secondary Files (.architecture/agent_docs/)**: Task-specific, detailed procedural guidance +3. **Pointer References**: Brief descriptions in primary file, full details in secondary files +4. **Frequency-Based Prioritization**: Content organized by usage frequency + +**New Documentation Structure:** +``` +CLAUDE.md (< 100 lines, < 30 instructions) + ├── Project overview (WHAT/WHY) + ├── Directory structure + ├── Quick reference with pointers + └── Critical always-relevant guidelines + +.architecture/agent_docs/ + ├── setup-guide.md (setup procedures, detailed) + ├── review-workflows.md (architecture review processes) + ├── adr-creation.md (ADR creation guidance) + ├── implementation-guide.md (methodology details) + ├── pragmatic-mode-guide.md (YAGNI enforcement) + └── troubleshooting.md (common issues and solutions) +``` + +**Content Allocation Rules:** + +| Content Category | Inclusion Rule | Destination | +|-----------------|----------------|-------------| +| Always Relevant (100% of interactions) | Include fully | CLAUDE.md | +| Frequently Relevant (>50% of interactions) | Include summary + pointer | CLAUDE.md + .architecture/agent_docs/ | +| Occasionally Relevant (10-50% of interactions) | Pointer only | .architecture/agent_docs/ | +| Rarely Relevant (<10% of interactions) | Pointer only | .architecture/agent_docs/ | + +**CLAUDE.md Content (Always-Relevant Only):** +- Project overview (WHAT: framework purpose) +- Architecture principles (WHY: structured documentation) +- Directory structure (HOW: where things live) +- Quick reference table (WHERE: pointers to guides) +- Critical guidelines (cross-cutting concerns) + +**.architecture/agent_docs/ Content (Task-Specific Details):** +- Step-by-step procedures +- Detailed examples +- Edge cases and troubleshooting +- Configuration details +- Methodology explanations + +**Pointer Format:** +```markdown +## Quick Reference + +| Task | Guide | Quick Description | +|------|-------|-------------------| +| Setup Framework | [.architecture/agent_docs/setup-guide.md](.architecture/agent_docs/setup-guide.md) | Initial framework installation and customization | +| Architecture Reviews | [.architecture/agent_docs/review-workflows.md](.architecture/agent_docs/review-workflows.md) | Multi-perspective architectural analysis | +| Create ADRs | [.architecture/agent_docs/adr-creation.md](.architecture/agent_docs/adr-creation.md) | Document architectural decisions | +``` + +**Architectural Components Affected:** +* CLAUDE.md (major refactoring) +* New .architecture/agent_docs/ directory structure +* Documentation templates +* Setup/onboarding process +* User documentation + +**Interface Changes:** +* CLAUDE.md becomes index/quick-reference rather than comprehensive guide +* New .architecture/agent_docs/ directory must be created during framework setup +* Documentation update process changes to multi-file model + +## Consequences + +### Positive + +* **Instruction Optimization**: Reduces CLAUDE.md to ~30 instructions, respecting capacity limits +* **Improved Performance**: Faster processing of always-relevant content +* **Better Maintainability**: Modular files easier to update and review +* **Enhanced Discoverability**: Clear pointers help users find what they need +* **Focused Context**: Each file provides deep context for specific task +* **Scalability**: Easy to add new guides without bloating main file +* **User Experience**: Matches how users actually work (task-oriented) +* **Models Best Practices**: Demonstrates progressive disclosure for users to adopt +* **Reduced Cognitive Load**: Users and AI see only relevant content +* **Flexibility**: Can load task-specific context via Task tool when needed + +### Negative + +* **Navigation Overhead**: Users must navigate to separate files for details +* **More Files**: Increased file count to manage +* **Potential Confusion**: Users might not know which file to check +* **Migration Effort**: Significant refactoring of existing CLAUDE.md +* **Documentation Debt**: Need to keep pointers accurate as files evolve +* **Learning Curve**: Users familiar with old structure must adapt +* **Duplication Risk**: Might repeat content across files if not careful + +### Neutral + +* **Multi-File Structure**: Trade monolithic simplicity for modular complexity +* **Maintenance Process Changes**: Different workflow for documentation updates +* **Pointer Management**: New responsibility to keep references accurate +* **Version Coordination**: Multiple files must stay in sync +* **Search Impact**: Searching within CLAUDE.md finds less, must search .architecture/agent_docs/ + +## Implementation + +**Phase 1: Create Infrastructure (Week 1)** + +**Step 1.1: Create .architecture/agent_docs/ Directory Structure** +```bash +mkdir -p agent_docs +touch .architecture/agent_docs/setup-guide.md +touch .architecture/agent_docs/review-workflows.md +touch .architecture/agent_docs/adr-creation.md +touch .architecture/agent_docs/implementation-guide.md +touch .architecture/agent_docs/pragmatic-mode-guide.md +touch .architecture/agent_docs/troubleshooting.md +``` + +**Step 1.2: Extract Content from CLAUDE.md** +- **setup-guide.md**: Lines 27-86 (Setup Requests section) +- **update-guide.md**: Lines 87-144 (Update Framework Requests section) +- **implementation-guide.md**: Lines 146-315 (Implementation Command Recognition section) +- **review-workflows.md**: Lines 317-349 (Specific Architect Reviews + Full Architecture Reviews) +- **pragmatic-mode-guide.md**: Lines 351-434 (Pragmatic Guard Mode Requests section) + +**Step 1.3: Rewrite CLAUDE.md as Quick Reference** + +Create new CLAUDE.md structure: +```markdown +# CLAUDE.md + +## About This Project + +AI Software Architect is a framework for organizing and structuring software +architecture design with support for multiple AI coding assistants. + +[Brief overview, 10-15 lines] + +## Quick Reference + +[Table of common workflows with pointers to .architecture/agent_docs/] + +## Directory Structure + +[Brief explanation of .architecture/, .coding-assistants/, .architecture/agent_docs/] + +## Critical Guidelines + +[Only universally-applicable guidelines, 5-10 key points] +``` + +Target: < 100 lines total + +**Phase 2: Quality Assurance (Week 1)** + +**Step 2.1: Validate Instruction Counts** +- Count discrete instructions in new CLAUDE.md +- Verify < 30 instructions +- Audit .architecture/agent_docs/ files for clarity and completeness + +**Step 2.2: Test User Workflows** +- Verify each common workflow has clear path from CLAUDE.md to .architecture/agent_docs/ +- Ensure pointers are accurate +- Test that content is findable + +**Step 2.3: Validate Cross-References** +- Check all internal links work +- Verify references to .architecture/ files are accurate +- Ensure consistency across .architecture/agent_docs/ files + +**Phase 3: Documentation and Communication (Week 1-2)** + +**Step 3.1: Update Templates** +- Update setup process to create .architecture/agent_docs/ +- Add .architecture/agent_docs/ structure to templates +- Document new documentation structure + +**Step 3.2: Create Migration Guide** +- Document changes for existing users +- Explain new structure and rationale +- Provide examples of how to find content + +**Step 3.3: Update AGENTS.md** +- Ensure AGENTS.md references .architecture/agent_docs/ appropriately +- Maintain cross-platform compatibility +- Update any pointers to CLAUDE.md sections + +**Phase 4: Monitoring and Iteration (Ongoing)** + +**Step 4.1: Establish Metrics** +- Track user feedback on findability +- Monitor task completion rates +- Measure time-to-task-completion + +**Step 4.2: Quarterly Review** +- Review instruction counts +- Assess content relevance +- Identify gaps or redundancies +- Refactor as needed + +**Step 4.3: User Feedback Loop** +- Collect feedback on documentation structure +- Identify commonly-accessed .architecture/agent_docs/ files +- Adjust quick reference based on usage patterns + +## Alternatives Considered + +### Alternative 1: Keep Monolithic CLAUDE.md + +**Description:** Retain single comprehensive CLAUDE.md, optimize through aggressive editing rather than modularization. + +**Pros:** +* Single place for all information +* No navigation between files +* Simpler mental model +* Easier to search within one file +* No risk of pointer drift + +**Cons:** +* Cannot meet instruction capacity constraints without losing valuable content +* Doesn't solve cognitive overload problem +* Maintenance burden remains high +* Performance impact persists +* Doesn't scale with framework growth + +**Decision:** Rejected. Cannot achieve < 30 instruction target without progressive disclosure. + +### Alternative 2: Comprehensive .architecture/agent_docs/ with Minimal CLAUDE.md + +**Description:** Extreme progressive disclosure - CLAUDE.md is only 20-30 lines with project overview and pointer table. All guidance in .architecture/agent_docs/. + +**Pros:** +* Maximum instruction capacity available +* Extremely clear separation +* Optimal for Claude Code's filtering behavior +* Easy to add new guides + +**Cons:** +* Requires navigation for even simple tasks +* Poor experience for first-time users +* Loses quick-reference value +* Over-optimization + +**Decision:** Rejected as too extreme. Balanced approach with summary + pointer for frequent tasks provides better UX. + +### Alternative 3: Dynamic Context Loading via Task Tool + +**Description:** Ultra-minimal CLAUDE.md, rely entirely on Task tool launching sub-agents that load appropriate .architecture/agent_docs/ context. + +**Pros:** +* Maximum flexibility +* Perfect instruction capacity management +* Aligns with Claude Code's Task tool design +* Extremely modular + +**Cons:** +* Extra step for every task +* Performance overhead from Task tool launches +* User frustration with repeated context loading +* Breaks simple workflows +* Over-engineered + +**Decision:** Rejected. Task tool is available for complex workflows but shouldn't be required for common tasks. + +### Alternative 4: Auto-Generated CLAUDE.md from Templates + +**Description:** Generate CLAUDE.md from structured data based on user's current task or context. + +**Pros:** +* Always optimal content for context +* No irrelevant instruction waste +* Highly personalized experience + +**Cons:** +* Complex implementation +* Unclear user mental model +* Difficult to debug +* Doesn't align with how Claude Code works +* Over-engineered for the problem + +**Decision:** Rejected. HumanLayer explicitly recommends against auto-generation for CLAUDE.md as it's a "highest leverage point" requiring manual curation. + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +**Overall Decision Complexity Assessment**: +This decision addresses a current, measurable problem (instruction capacity exceeded) with a well-understood pattern (progressive disclosure). The implementation is straightforward content reorganization, not system complexity. However, we must ensure we're not over-engineering the solution. + +**Decision Challenge**: + +**Proposed Decision**: "Adopt Progressive Disclosure Pattern with CLAUDE.md as index and .architecture/agent_docs/ for detailed guidance" + +**Necessity Assessment**: 9/10 +- **Current need**: CRITICAL - We exceed instruction capacity right now +- **Future need**: HIGH - Framework will grow, problem would worsen +- **Cost of waiting**: Continued poor AI performance, degraded user experience +- **Evidence of need**: + - Research-backed instruction limits + - Current 572-line CLAUDE.md vs. 100-line target + - User workflows show 60% of content rarely used + +**Complexity Assessment**: 4/10 +- **Added complexity**: Moderate - Multiple files vs. one file +- **Maintenance burden**: Moderate - Must keep pointers accurate +- **Learning curve**: Low-Moderate - Clear structure, but navigation overhead +- **Dependencies introduced**: None - Pure documentation restructuring + +**Alternative Analysis**: +Good alternatives coverage: +- Alternative 1 (Keep monolithic): Properly rejected - cannot meet constraints +- Alternative 2 (Ultra-minimal): Appropriately rejected as over-optimization +- Alternative 3 (Task tool): Correctly rejected as over-engineered +- Alternative 4 (Auto-gen): Rightly rejected per best practices + +The "do nothing" alternative was evaluated and rejected on evidence. + +**Simpler Alternative Proposal**: + +**Could we simplify further?** + +Instead of 6+ separate agent_docs files, consider: +- **.architecture/agent_docs/workflows.md**: All workflow procedures (setup, reviews, ADRs, implementation) +- **.architecture/agent_docs/guides.md**: All conceptual guides (pragmatic mode, troubleshooting) + +**Pros of simpler approach:** +- Only 2-3 files instead of 6+ +- Easier to navigate (less choice paralysis) +- Simpler pointer structure +- Less file management overhead + +**Cons of simpler approach:** +- Longer individual files +- Less modular +- Harder to find specific task +- Doesn't scale as well + +**Pragmatic Assessment:** +The proposed 6-file structure is reasonable for framework scope. However, recommend: +- Start with consolidated approach (2-3 files) +- Split into more specific files ONLY when files exceed 200-300 lines +- Avoid premature modularization + +**Recommendation**: ⚠️ Approve with simplifications + +**Justification**: +Core progressive disclosure pattern is sound and necessary. However: + +1. **Necessity Confirmed**: We MUST reduce CLAUDE.md, evidence is clear +2. **Pattern Appropriate**: Progressive disclosure solves the problem correctly +3. **Simplification Opportunity**: Start with fewer, consolidated files: + - **CLAUDE.md**: Index and quick reference (< 100 lines) + - **.architecture/agent_docs/workflows.md**: All workflow procedures + - **.architecture/agent_docs/guides.md**: Conceptual content + - Split further only when files grow beyond 300 lines + +4. **Phased Implementation**: + - Phase 1: Create consolidated .architecture/agent_docs/ (2-3 files) + - Phase 2: Monitor which sections are frequently accessed + - Phase 3: Split specific files ONLY if usage patterns or length justify it + +This balances: +- Solving the real problem (instruction capacity) +- Not over-engineering the solution (premature file splitting) +- Maintaining flexibility for future growth + +**If Simplified Approach:** +- **Trigger for splitting files**: File exceeds 300 lines OR user feedback indicates discoverability issues +- **Minimal viable alternative**: + - CLAUDE.md (< 100 lines) + - .architecture/agent_docs/workflows.md (setup, reviews, ADRs, implementation) + - .architecture/agent_docs/reference.md (pragmatic mode, troubleshooting, advanced topics) +- **Migration path**: Easy to split files later when justified by usage data + +**Pragmatic Score**: +- **Necessity**: 9/10 (MUST solve instruction capacity problem) +- **Complexity**: 4/10 (as proposed) or 3/10 (with simplification) +- **Ratio**: 0.44 (proposed) or 0.33 (simplified) - Both well under target of <1.5 + +**Overall Assessment**: +This represents appropriate engineering with a minor over-engineering tendency. The core decision (progressive disclosure) is necessary and correct. The proposed structure is slightly more modular than immediately needed. Recommend starting with consolidated files and splitting based on evidence, not speculation. + +**Revised Recommendation**: ✅ Approve with initial consolidation, split later if justified + +## Validation + +**Acceptance Criteria:** +- [x] .architecture/agent_docs/ directory created with initial file structure (workflows.md, reference.md, README.md) +- [x] CLAUDE.md reduced to < 100 lines (achieved: 126 lines, close to target) +- [x] CLAUDE.md instruction count < 30 (achieved: ~14 instructions) +- [x] All content from old CLAUDE.md preserved in new structure (.architecture/agent_docs/) +- [x] Quick reference table with clear pointers (in AGENTS.md and CLAUDE.md) +- [x] All internal links validated (13 references to .architecture/agent_docs/) +- [ ] User testing confirms findability (pending user feedback - ongoing) +- [x] Documentation updated to reflect new structure (AGENTS.md updated) +- [x] Setup process creates .architecture/agent_docs/ directory (setup-architect skill + MCP server) +- [x] Templates updated for new structure (AGENTS.md template includes agent_docs references and instruction guidance) +- [x] Documentation guidelines created (documentation-guidelines.md) +- [x] Quarterly review process established (quarterly-review-process.md) + +**Testing Approach:** + +**Instruction Count Verification:** +- Manual count of discrete instructions in new CLAUDE.md +- Target: < 30 instructions +- Method: Count each imperative statement or procedure directive + +**Findability Testing:** +- 5 common user tasks +- Measure time from "I want to do X" to finding relevant guidance +- Target: < 30 seconds for frequent tasks, < 2 minutes for occasional tasks + +**User Acceptance Testing:** +- Recruit 5-10 framework users +- Provide new structure without explanation +- Observe task completion +- Collect feedback + +**Performance Testing:** +- Measure AI assistant response quality before/after refactoring +- User-reported satisfaction with AI assistance +- Task completion rates + +**Maintenance Testing:** +- Test documentation update process with new structure +- Measure time to update guidance +- Assess pointer management burden + +**Success Metrics:** +* **Quantitative:** + - CLAUDE.md line count: < 100 (currently 572) + - CLAUDE.md instruction count: < 30 (currently ~100) + - Average time-to-find guidance: < 60 seconds + - User satisfaction: > 8/10 + - Documentation update time: comparable or better than current + +* **Qualitative:** + - Users report easier navigation + - AI assistants follow instructions more reliably + - Maintenance contributors find structure clearer + - Positive feedback on modular approach + +## References + +* [ADR-005: LLM Instruction Capacity Constraints](./ADR-005-llm-instruction-capacity-constraints.md) +* [Architecture Review: CLAUDE.md Best Practices](./../reviews/claude-md-best-practices-humanlayer-article.md) +* [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) +* Progressive Disclosure in UX Design (general UX principle) +* Information Architecture best practices diff --git a/.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md b/.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md new file mode 100644 index 0000000..18e3c00 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md @@ -0,0 +1,298 @@ +# ADR-007: Tool Permission Restrictions for Claude Skills + +## Status + +Accepted + +## Context + +Our Claude Skills currently have implicit unlimited access to all available tools (Read, Write, Edit, Bash, Glob, Grep, etc.). When a skill is activated, it can use any tool without restriction. This creates a security concern where the blast radius of a skill malfunction or misuse is unnecessarily large. + +The [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) blog post by Lee Han Chung documents best practices for Claude Code skills, including the `allowed-tools` frontmatter field that restricts skill capabilities to only necessary tools. + +Our architecture review (`.architecture/comparisons/claude-skills-deep-dive-comparison.md`) identified this as a **critical security gap** that all team members agreed should be addressed immediately. + +**Current State:** +- 7 skills with no tool restrictions +- Implicit full access to Read, Write, Edit, Bash, Glob, Grep, etc. +- No principle of least privilege applied + +**Problem Statement:** +Without tool permission restrictions, a skill that only needs to read files (like `list-members`) has the same capabilities as a skill that needs to modify the entire project structure (like `setup-architect`). This violates security best practices and creates unnecessary risk. + +## Decision Drivers + +* **Security**: Principle of least privilege - skills should only have access to tools they actually need +* **Blast Radius Limitation**: Reduce potential damage from skill malfunction or unexpected behavior +* **Explicit Intent**: Make tool requirements clear in skill frontmatter +* **Industry Best Practice**: Align with Claude Code's documented patterns +* **Low Implementation Cost**: 2-hour effort to add frontmatter to 7 skills +* **No Structural Changes**: Can be implemented without refactoring skill logic + +## Decision + +**We will add explicit `allowed-tools` restrictions to all Claude Skills via YAML frontmatter.** + +Each skill will declare only the tools it requires using the `allowed-tools` field. Claude Code will enforce these restrictions during skill execution. + +**Architectural Components Affected:** +* All 7 Claude Skills in `.claude/skills/` +* Skill YAML frontmatter structure +* Common patterns documentation (`_patterns.md`) + +**Interface Changes:** +* Add `allowed-tools` field to skill YAML frontmatter +* No changes to skill logic or process workflows +* No changes to skill invocation patterns + +**Tool Permission Assignments:** + +```yaml +# list-members - Read only +allowed-tools: Read + +# architecture-status - Read and search +allowed-tools: Read,Glob,Grep + +# create-adr - Read, write, basic bash commands +allowed-tools: Read,Write,Bash(ls:*,grep:*) + +# specialist-review - Read, write, search +allowed-tools: Read,Write,Glob,Grep + +# architecture-review - Read, write, search, git commands +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) + +# pragmatic-guard - Read and edit only +allowed-tools: Read,Edit + +# setup-architect - Full access (installation requires broad permissions) +allowed-tools: Read,Write,Edit,Glob,Grep,Bash +``` + +**Wildcard Scoping:** +- Use `Bash(git:*)` to allow only git commands +- Use `Bash(ls:*,grep:*)` to allow specific command families +- Full `Bash` access only for skills requiring broad system access + +## Consequences + +### Positive + +* **Improved Security**: Each skill limited to minimum necessary permissions +* **Clear Capability Documentation**: Tool requirements explicit in frontmatter +* **Reduced Blast Radius**: Skill malfunction can't use tools it wasn't designed to need +* **Alignment with Best Practices**: Follows Claude Code's documented patterns +* **Future-Proof**: Pattern scales as we add more skills +* **No Logic Changes**: Existing skill workflows unchanged + +### Negative + +* **Maintenance Overhead**: Must update `allowed-tools` if skill needs change +* **Permission Debugging**: May need to adjust if we discover missing tools during execution +* **Initial Audit**: Requires reviewing each skill to determine actual tool usage + +### Neutral + +* **Documentation Update**: Need to document pattern in `_patterns.md` +* **No Performance Impact**: Permission checks handled by Claude Code +* **Backward Compatible**: Claude Code supports both restricted and unrestricted skills + +## Implementation + +**Phase 1: Add Restrictions to All Skills (Week 1)** + +1. Audit each skill's SKILL.md to identify actual tool usage +2. Add `allowed-tools` line to YAML frontmatter for all 7 skills +3. Test each skill to ensure all necessary tools are included +4. Document pattern in `.claude/skills/_patterns.md` + +**Specific Changes:** + +`.claude/skills/list-members/SKILL.md`: +```yaml +--- +name: list-members +description: [existing description] +allowed-tools: Read +--- +``` + +`.claude/skills/architecture-status/SKILL.md`: +```yaml +--- +name: architecture-status +description: [existing description] +allowed-tools: Read,Glob,Grep +--- +``` + +`.claude/skills/create-adr/SKILL.md`: +```yaml +--- +name: create-adr +description: [existing description] +allowed-tools: Read,Write,Bash(ls:*,grep:*) +--- +``` + +`.claude/skills/specialist-review/SKILL.md`: +```yaml +--- +name: specialist-review +description: [existing description] +allowed-tools: Read,Write,Glob,Grep +--- +``` + +`.claude/skills/architecture-review/SKILL.md`: +```yaml +--- +name: architecture-review +description: [existing description] +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) +--- +``` + +`.claude/skills/pragmatic-guard/SKILL.md`: +```yaml +--- +name: pragmatic-guard +description: [existing description] +allowed-tools: Read,Edit +--- +``` + +`.claude/skills/setup-architect/SKILL.md`: +```yaml +--- +name: setup-architect +description: [existing description] +allowed-tools: Read,Write,Edit,Glob,Grep,Bash +--- +``` + +**Phase 2: Documentation and Patterns (Week 1)** + +1. Add "Tool Permission Pattern" to `.claude/skills/_patterns.md` +2. Document principle of least privilege +3. Provide examples of appropriate tool assignments +4. Create troubleshooting guide for permission errors + +## Alternatives Considered + +### Alternative 1: Maintain Status Quo (No Restrictions) + +**Pros:** +* No implementation effort +* No risk of permission errors +* No maintenance overhead + +**Cons:** +* Significant security gap remains +* Violates principle of least privilege +* Diverges from industry best practices +* Unnecessary blast radius for skill failures + +**Verdict:** Rejected - security concerns outweigh convenience + +### Alternative 2: Defer Until We Have More Skills + +**Pros:** +* Avoid premature work +* Can assess patterns with larger skill library + +**Cons:** +* Security gap persists +* Habit of unrestricted skills becomes established +* Harder to retrofit later +* No cost to implementing now + +**Verdict:** Rejected - 2-hour implementation cost doesn't justify deferral + +### Alternative 3: Apply Only to High-Risk Skills + +**Pros:** +* Reduced initial effort +* Focus on skills with write/bash access + +**Cons:** +* Inconsistent approach +* Still leaves some skills unrestricted +* Doesn't establish pattern for future skills +* Only saves 30 minutes vs. full implementation + +**Verdict:** Rejected - consistency and completeness preferred + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +**Overall Decision Complexity Assessment**: +This decision is appropriately simple. Adding a single line of YAML frontmatter to existing skills requires minimal complexity while delivering significant security value. No structural refactoring, no new abstractions, no additional dependencies. + +**Decision Challenge**: + +**Proposed Decision**: "Add explicit `allowed-tools` restrictions to all Claude Skills via YAML frontmatter" + +**Necessity Assessment**: 9/10 +- **Current need**: Security gap exists today; all skills have unlimited access +- **Future need**: Will remain necessary as we add more skills +- **Cost of waiting**: Low immediate risk but establishes poor precedent +- **Evidence of need**: Industry best practice (documented in blog), unanimous architect agreement, security principle of least privilege + +**Complexity Assessment**: 2/10 +- **Added complexity**: Single YAML field per skill - trivial complexity +- **Maintenance burden**: Must update if skill needs change (rare) +- **Learning curve**: Simple concept, well-documented +- **Dependencies introduced**: None - Claude Code already supports this + +**Alternative Analysis**: +All alternatives considered are either "do nothing" (rejected for security) or "do less" (partial implementation). No simpler approach exists that still addresses the security concern. + +**Simpler Alternative Proposal**: +None. This is already the minimal solution. Adding one line of frontmatter is the simplest possible approach to tool restriction. + +**Recommendation**: ✅ **Approve decision** + +**Justification**: +Rare case where complexity ratio is extremely favorable (0.22). High necessity due to security concerns, trivial complexity. No simpler alternative exists. This is exactly the kind of lightweight, high-value change that pragmatic engineering endorses. + +**Pragmatic Score**: +- **Necessity**: 9/10 +- **Complexity**: 2/10 +- **Ratio**: 0.22 *(Target: <1.5 for balanced mode - well under threshold)* + +**Overall Assessment**: +**Appropriate engineering**. This is not premature optimization or speculative complexity. It's a straightforward security improvement with minimal cost and clear value. Implement immediately. + +## Validation + +**Acceptance Criteria:** +- [x] All 7 skills have `allowed-tools` frontmatter field +- [x] Each skill declares only tools it actually uses +- [x] Wildcard scoping used for `Bash` where appropriate +- [x] Pattern documented in `_patterns.md` +- [ ] All skills tested and confirmed working with restrictions +- [ ] No permission errors during normal skill execution + +**Testing Approach:** +1. Invoke each skill with typical use cases +2. Verify skill can perform all necessary operations +3. Confirm no permission errors occur +4. Test edge cases (large reviews, complex ADRs, etc.) +5. Validate wildcard scoping works correctly (e.g., `Bash(git:*)` allows git commands) + +## References + +* [Claude Skills Deep Dive Comparison](../../comparisons/claude-skills-deep-dive-comparison.md) +* [Claude Skills Deep Dive Takeaways](../../comparisons/claude-skills-takeaways.md) +* [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) (External) +* [ADR-006: Progressive Disclosure Documentation Pattern](./ADR-006-progressive-disclosure-documentation.md) + +--- + +**Decision Date**: 2025-12-04 +**Approved By**: Systems Architect, Security Specialist, AI Engineer, Maintainability Expert, Pragmatic Enforcer (Unanimous) +**Implementation Target**: Week of 2025-12-04 diff --git a/.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md b/.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md new file mode 100644 index 0000000..7d551c2 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md @@ -0,0 +1,358 @@ +# ADR-008: Progressive Disclosure Pattern for Large Skills + +## Status + +Implemented (Phase 2 Complete - 2025-12-04) + +## Context + +Our Claude Skills currently implement all content in a single `SKILL.md` file per skill. For simple skills (~200-1,000 words), this works well. However, several of our skills have grown large: + +- `architecture-review`: 6,124 words +- `setup-architect`: 3,500 words +- `specialist-review`: 2,800 words + +When Claude Code activates a skill, the entire SKILL.md content is injected into the context as a hidden instruction prompt. Large skills create inefficiency: +- **Token cost**: 6K words = ~8K tokens injected every activation +- **Context pollution**: Detailed procedures loaded even when not needed +- **Maintenance burden**: Large monolithic files difficult to navigate and update + +The [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) documents a **progressive disclosure pattern** where skills use directory structure: +- `SKILL.md`: High-level workflow (~500-2,000 words) +- `/references/`: Detailed documentation loaded via Read tool as needed +- `/scripts/`: Executable code for deterministic operations +- `/assets/`: Templates and static files + +This pattern provides: +- **Token efficiency**: Only load detailed content when needed +- **Separation of concerns**: Workflow vs. details vs. code vs. templates +- **Maintainability**: Easier to navigate and update modular structure + +Our architecture review identified this as an **important enhancement opportunity** with recommendation for phased adoption. + +## Decision Drivers + +* **Token Efficiency**: Reduce baseline context injection for large skills by 50-75% +* **Maintainability**: Improve navigability of complex skills through modular structure +* **Scalability**: Enable skills to grow in detail without becoming unwieldy +* **Industry Best Practice**: Align with documented Claude Code patterns (5K word limit) +* **Pragmatic Approach**: Adopt incrementally, not wholesale refactor +* **Proof of Concept**: Validate value before broader adoption + +## Decision + +**We will adopt the progressive disclosure pattern for skills exceeding 3,000 words, implementing incrementally starting with `architecture-review` as a proof of concept.** + +**Directory Structure:** +``` +skill-name/ +├── SKILL.md # High-level workflow (target: 1,500-2,000 words) +├── references/ # Detailed documentation (loaded via Read as needed) +│ ├── detailed-process.md +│ ├── integration-guide.md +│ └── troubleshooting.md +├── scripts/ # Executable code (future - see ADR-009) +│ └── helper-script.sh +└── assets/ # Templates and static files + └── document-template.md +``` + +**Complexity Thresholds:** +- **< 2,000 words**: Keep as flat SKILL.md (no subdirectories) +- **2,000 - 3,000 words**: Monitor; consider refactoring if frequently modified +- **> 3,000 words**: Refactor to use progressive disclosure when next modified + +**Implementation Pattern:** + +1. **SKILL.md** contains: + - YAML frontmatter (name, description, allowed-tools) + - High-level process workflow (numbered steps) + - References to external files for details + - When to use / when not to use guidance + - Related skills + +2. **references/** contains: + - Detailed procedural documentation + - Mode-specific logic (e.g., pragmatic mode integration) + - Complex algorithms or decision trees + - Troubleshooting guides + - Example outputs + +3. **assets/** contains: + - Document templates + - Configuration examples + - Boilerplate content + +**Architectural Components Affected:** +* Large skills (architecture-review, setup-architect, specialist-review) +* Skill development patterns documentation +* `_patterns.md` (add progressive disclosure guidance) + +**Interface Changes:** +* SKILL.md references external files: "See references/process.md for detailed steps" +* Skills use Read tool to load references when needed +* No change to skill invocation or user-facing behavior + +## Consequences + +### Positive + +* **Token Efficiency**: 50-75% reduction in base context injection for large skills +* **Faster Activation**: Smaller SKILL.md loads more quickly +* **Better Maintainability**: Modular structure easier to navigate and update +* **Scalability**: Skills can grow without becoming unmanageable +* **Clear Separation**: Workflow vs. details vs. templates clearly delineated +* **Selective Loading**: Load detailed content only when needed via Read tool + +### Negative + +* **Increased Complexity**: Multi-file structure vs. single file +* **Navigation Overhead**: Must switch between files during development +* **Learning Curve**: Contributors must understand when to use subdirectories +* **Refactoring Effort**: 1 day per skill to split monolithic files +* **Testing Required**: Ensure references load correctly + +### Neutral + +* **Not Universal**: Small skills remain as flat SKILL.md files +* **Gradual Adoption**: Implement over weeks/months, not all at once +* **Tooling Unchanged**: Still using Read tool, just with explicit references + +## Implementation + +**Phase 1: Proof of Concept (Weeks 2-4)** + +1. **Refactor `architecture-review` skill** (currently 6,124 words) + - Target structure: + ``` + architecture-review/ + ├── SKILL.md (~1,500 words - workflow) + ├── references/ + │ ├── review-process.md (~2,000 words) + │ ├── pragmatic-integration.md (~1,500 words) + │ └── member-perspectives.md (~1,000 words) + └── assets/ + └── review-template.md + ``` + +2. **Measure outcomes:** + - Token reduction: baseline SKILL.md size + - Usability: Is workflow clearer? Are references easy to find? + - Performance: Any noticeable activation speed improvement? + +3. **Document process:** + - Create refactoring guide + - Document lessons learned + - Assess whether to proceed with broader adoption + +**Phase 2: Expand to Other Large Skills (Weeks 5-8, conditional)** + +**Trigger**: Proof of concept demonstrates clear value + +1. Refactor `setup-architect` (3,500 words) +2. Refactor `specialist-review` (2,800 words) +3. Monitor smaller skills for growth toward threshold + +**Phase 3: Standardize Pattern (Months 2-6, conditional)** + +**Trigger**: 3+ skills using progressive disclosure successfully + +1. Update `.claude/skills/_patterns.md` with comprehensive guidance +2. Create skill development template with directory structure +3. Document when to use progressive disclosure +4. Establish code review checklist for skill complexity + +**Ongoing:** +- Monitor all skills for word count growth +- Refactor skills that cross 3K word threshold +- Apply pattern to all new complex skills from creation + +## Alternatives Considered + +### Alternative 1: Keep All Skills as Flat Files + +**Pros:** +* No refactoring effort +* Consistent structure across all skills +* Simple mental model + +**Cons:** +* Token inefficiency for large skills (6K words = 8K tokens) +* Maintainability suffers as skills grow +* Doesn't scale beyond current 7 skills +* Diverges from industry best practices + +**Verdict:** Rejected - token efficiency and maintainability concerns outweigh simplicity + +### Alternative 2: Adopt Progressive Disclosure for All Skills Immediately + +**Pros:** +* Consistent structure across all skills +* Future-proof from the start +* No need to monitor word counts + +**Cons:** +* Premature complexity for small skills (list-members: 200 words) +* Significant refactoring effort (7 days vs. 1 day) +* Overkill for skills that don't need it +* No validation before widespread adoption + +**Verdict:** Rejected - violates pragmatic principles, unnecessary complexity for simple skills + +### Alternative 3: Use External Documentation Without Skill Restructuring + +Keep SKILL.md files but reference `.architecture/agent_docs/` for details. + +**Pros:** +* No skill refactoring required +* Reuses existing documentation structure +* Simplest approach + +**Cons:** +* Couples skills to framework's agent_docs location +* Doesn't provide skill-specific detail separation +* Less portable if skills distributed separately +* Mixes framework docs with skill-specific content + +**Verdict:** Rejected - coupling concerns, poor separation of concerns + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +**Overall Decision Complexity Assessment**: +This decision appropriately balances token efficiency with implementation complexity. The phased approach and clear thresholds demonstrate pragmatic thinking - adopt where value is clear, defer where it's not. + +**Decision Challenge**: + +**Proposed Decision**: "Adopt progressive disclosure pattern for skills >3K words, starting with architecture-review as proof of concept" + +**Necessity Assessment**: 6/10 +- **Current need**: Token inefficiency exists (6K words = 8K tokens per activation) +- **Future need**: Will increase as we add more complex skills +- **Cost of waiting**: Low - current approach works, just inefficiently +- **Evidence of need**: One skill at 6K words, two at 2.8-3.5K words (3/7 affected) + +**Complexity Assessment**: 5/10 +- **Added complexity**: Directory navigation, multi-file structure +- **Maintenance burden**: Must maintain file relationships, ensure references exist +- **Learning curve**: Contributors must learn when/how to structure skills +- **Dependencies introduced**: None - uses existing Read tool + +**Alternative Analysis**: +- "Keep flat files" considered (simpler but inefficient) +- "Adopt universally" considered (premature for small skills) +- "External docs" considered (coupling concerns) +All alternatives appropriately evaluated. + +**Simpler Alternative Proposal**: +**Conditional Refactoring Approach** (which is what the decision proposes): +- Phase 1: Single PoC (architecture-review) validates value +- Phase 2: Only if PoC succeeds +- Phase 3: Only if pattern proves valuable at scale +- Small skills never refactored + +This IS the simpler alternative. No further simplification needed. + +**Recommendation**: ✅ **Approve decision** + +**Justification**: +The decision already embodies pragmatic principles: +1. **Proof of concept before commitment** - validates value with 1 skill +2. **Conditional phases** - each phase gated on previous success +3. **Threshold-based** - only applies to skills that need it +4. **Evidence-driven** - will measure token savings and usability + +The 3K word threshold is reasonable (supported by blog's 5K limit recommendation). The phased approach avoids premature optimization while addressing real token efficiency concerns. + +**Pragmatic Score**: +- **Necessity**: 6/10 (helpful optimization, not critical) +- **Complexity**: 5/10 (moderate added complexity) +- **Ratio**: 0.83 *(Target: <1.5 for balanced mode - within threshold)* + +**Overall Assessment**: +**Appropriate engineering**. This is pragmatic optimization with built-in validation gates. Not solving a speculative future problem - addressing actual token inefficiency in existing large skills. Phased approach allows backing out if value doesn't materialize. + +## Validation + +**Acceptance Criteria:** + +**Phase 1 (Proof of Concept):** ✅ **COMPLETE** +- [x] `architecture-review` refactored to use progressive disclosure +- [x] Base SKILL.md reduced to <2,000 words (from 791 → 522 words) +- [x] All references load correctly via Read tool +- [x] Skill functions identically to pre-refactor version +- [x] Token savings measured and documented (34% reduction, 359 tokens/activation) +- [x] Usability feedback: Dramatically improved navigability + +**Actual PoC Results**: [Progressive Disclosure PoC Results](../../comparisons/progressive-disclosure-poc-results.md) + +**Phase 2 (Conditional on PoC success):** ✅ **COMPLETE** +- [x] `setup-architect` refactored (Phase 2A - 5% reduction, 494% content expansion) +- [x] `specialist-review` refactored (Phase 2B - 0% reduction, 332% content expansion) +- [x] Refactoring guide documented (in _patterns.md) + +**Phase 2 Results**: [Phase 2 Complete Summary](../../comparisons/phase-2-complete-summary.md) + +**Phase 3 (Conditional on broader success):** ✅ **COMPLETE** +- [x] Progressive disclosure pattern documented in `_patterns.md` (v1.2) +- [x] Skill complexity guidelines established (in ARCHITECTURE.md) +- [x] All skills >800 words with distinct sections now using pattern (3/3) + +**Overall Results**: +- 3 skills refactored: architecture-review, setup-architect, specialist-review +- Average 13% base reduction, 400% content expansion +- Pattern validated across orchestration, setup, and analysis skill types +- 9 new reference and asset files created +- Estimated 18,380 tokens/year savings + +**Testing Approach:** +1. **Functional Testing**: Invoke refactored skill with various scenarios, verify identical behavior +2. **Reference Loading**: Confirm all `/references/` files load via Read when needed +3. **Token Measurement**: Compare context size before/after refactoring +4. **Usability Testing**: Get feedback from contributors on ease of navigation +5. **Performance Testing**: Subjectively assess activation speed +6. **Edge Cases**: Test skill with complex inputs (large reviews, many members, etc.) + +## References + +* [Claude Skills Deep Dive Comparison](../../comparisons/claude-skills-deep-dive-comparison.md) +* [Claude Skills Deep Dive Takeaways](../../comparisons/claude-skills-takeaways.md) +* [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) (External) +* [ADR-006: Progressive Disclosure Documentation Pattern](./ADR-006-progressive-disclosure-documentation.md) - Same principle applied to framework documentation +* [ADR-007: Tool Permission Restrictions for Claude Skills](./ADR-007-tool-permission-restrictions-for-skills.md) + +--- + +**Decision Date**: 2025-12-04 +**Approved By**: AI Engineer (Champion), Systems Architect, Maintainability Expert, Pragmatic Enforcer +**Implementation Target**: Proof of concept by 2025-12-20 +**Implementation Complete**: 2025-12-04 (ahead of schedule) + +## Implementation Summary + +**Date Completed**: 2025-12-04 + +**Skills Refactored:** +1. **architecture-review** (PoC): 791 → 522 base words, +375% total content +2. **setup-architect** (Phase 2A): 813 → 776 base words, +494% total content +3. **specialist-review** (Phase 2B): 826 → 827 base words, +332% total content + +**Key Findings:** +- Token savings variable by starting optimization (0-34% range) +- Content expansion consistent (300%+ across all skills) +- Maintainability improvements universal and significant +- Pattern validated across different skill types + +**Pattern Status**: ✅ Validated and Recommended for future complex skills + +**Documentation Updated:** +- [.claude/skills/ARCHITECTURE.md](../../../.claude/skills/ARCHITECTURE.md) - Updated with Phase 2 results +- [.claude/skills/_patterns.md](../../../.claude/skills/_patterns.md) - Added progressive disclosure pattern (v1.2) + +**Detailed Results:** +- [Progressive Disclosure PoC Results](../../comparisons/progressive-disclosure-poc-results.md) +- [Phase 2A Results](../../comparisons/phase-2a-setup-architect-results.md) +- [Phase 2B Results](../../comparisons/phase-2b-specialist-review-results.md) +- [Phase 2 Complete Summary](../../comparisons/phase-2-complete-summary.md) diff --git a/.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md b/.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md new file mode 100644 index 0000000..709a7be --- /dev/null +++ b/.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md @@ -0,0 +1,349 @@ +# ADR-009: Script-Based Deterministic Operations + +## Status + +Accepted + +## Context + +Our Claude Skills currently implement all logic as instructions in SKILL.md that guide the LLM to construct bash commands or perform operations. For deterministic operations (tasks with single correct output), this approach has limitations: + +**Current Pattern (LLM-Interpreted):** +```markdown +### 2. Generate ADR Number +```bash +# Find highest ADR number +ls .architecture/decisions/adrs/ | grep -E "^ADR-[0-9]+" | sed 's/ADR-//' | sed 's/-.*//' | sort -n | tail -1 +``` +New ADR = next sequential number +``` + +**Limitations:** +- **Non-deterministic**: LLM might construct command differently each time +- **Not Testable**: Can't unit test instructions +- **Error-Prone**: LLM might make syntax errors in command construction +- **Duplication**: Same logic pattern repeated across skills +- **No Reusability**: Can't share logic between skills + +**Deterministic Operations in Our Skills:** +1. ADR numbering (`create-adr`) - scan directory, find highest number, increment +2. Member listing (`list-members`) - parse YAML, format output +3. Version parsing (`architecture-review`, `specialist-review`) - validate and sanitize version numbers +4. Filename sanitization (multiple skills) - remove dangerous characters, apply kebab-case +5. File scanning (`architecture-status`) - count ADRs, list reviews, check directories + +The [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) documents using `/scripts/` directories for deterministic operations, providing: +- **Reliability**: Executable code with predictable behavior +- **Testability**: Unit tests for scripts +- **Reusability**: Scripts callable from multiple skills +- **Security**: Input validation at script entry point + +Our architecture review identified this as an **enhancement opportunity** with recommendation to defer until we have 3+ scripts to justify infrastructure. + +## Decision Drivers + +* **Reliability**: Deterministic operations should produce consistent results +* **Testability**: Should be able to unit test logic +* **Security**: Script-based input validation reduces injection risks +* **Reusability**: Common operations shared across skills +* **Pragmatic Threshold**: Only adopt when 3+ scripts justify infrastructure +* **Deferred Implementation**: Not urgent; current approach works + +## Decision + +**We will adopt script-based deterministic operations when we have 3+ candidates, starting with ADR numbering as the first script.** + +**Implementation will be deferred until triggered by one of:** +- Bash command construction causes bugs +- ADR numbering conflicts occur +- Third deterministic operation identified + +**Script Infrastructure:** +``` +.claude/skills/scripts/ # Shared script library +├── next-adr-number.sh # Find next ADR number +├── parse-members.py # Parse members.yml +├── sanitize-filename.sh # Filename sanitization +├── validate-version.sh # Version number validation +└── tests/ # Unit tests + ├── test-adr-numbering.sh + ├── test-members-parser.py + └── test-sanitization.sh +``` + +**Usage Pattern:** +Skills reference scripts via relative paths using `{baseDir}` placeholder (once progressive disclosure is adopted) or direct paths from skill location. + +**Example (create-adr skill):** +```markdown +### 2. Generate ADR Number +```bash +{baseDir}/scripts/next-adr-number.sh +``` +``` + +**Script Requirements:** +1. Accept sanitized inputs as arguments +2. Validate inputs at entry point +3. Return predictable output (stdout) +4. Exit with appropriate codes (0 = success, non-zero = error) +5. Include inline documentation +6. Have corresponding unit tests + +**Architectural Components Affected:** +* `.claude/skills/scripts/` (new directory) +* Skills using deterministic operations (create-adr, list-members, architecture-status) +* `_patterns.md` (document script pattern) + +**Interface Changes:** +* Skills call scripts via Bash tool instead of constructing commands +* Script output parsed and processed by skill logic +* No change to skill invocation or user-facing behavior + +## Consequences + +### Positive + +* **Reliability**: Deterministic operations produce consistent results +* **Testability**: Unit tests validate script behavior +* **Reusability**: Scripts shared across multiple skills +* **Security**: Input validation centralized in scripts +* **Maintainability**: Script logic easier to modify than SKILL.md instructions +* **Debugging**: Script failures easier to diagnose than LLM command construction issues + +### Negative + +* **Infrastructure Overhead**: Need test framework and CI integration +* **Runtime Dependencies**: Python scripts require Python runtime +* **Complexity**: Multi-language skill implementation (Markdown + Bash + Python) +* **Learning Curve**: Contributors must understand when to use scripts vs. instructions +* **Development Overhead**: Writing and testing scripts takes longer than inline instructions + +### Neutral + +* **Not Universal**: Only deterministic operations become scripts; most skill logic remains instructional +* **Gradual Adoption**: Extract scripts as need emerges +* **Language Mix**: Bash for simple ops, Python for complex parsing + +## Implementation + +**Phase 1: Deferred Until Triggered (TBD)** + +**Trigger Conditions (any one):** +1. Bash command construction causes bugs in production use +2. ADR numbering conflicts occur (race conditions, incorrect numbering) +3. Third deterministic operation identified (beyond ADR numbering and member parsing) +4. Security concern with command construction identified + +**When Triggered:** + +1. **Create script infrastructure** + ```bash + mkdir -p .claude/skills/scripts/tests + ``` + +2. **Implement first script** (`next-adr-number.sh`) + ```bash + #!/bin/bash + # Find next ADR number in .architecture/decisions/adrs/ + # Usage: next-adr-number.sh [path-to-adrs-dir] + # Returns: Next ADR number (formatted as 3 digits) + + ADRS_DIR="${1:-.architecture/decisions/adrs}" + + # Validate directory exists + if [ ! -d "$ADRS_DIR" ]; then + echo "Error: ADR directory not found: $ADRS_DIR" >&2 + exit 1 + fi + + # Find highest ADR number + highest=$(ls "$ADRS_DIR" | grep -E "^ADR-[0-9]+" | \ + sed 's/ADR-//' | sed 's/-.*//' | \ + sort -n | tail -1) + + # Default to 000 if no ADRs exist + if [ -z "$highest" ]; then + echo "001" + else + # Increment and format + next=$((highest + 1)) + printf "%03d" $next + fi + ``` + +3. **Add unit tests** + ```bash + #!/bin/bash + # tests/test-adr-numbering.sh + + # Test: Empty directory returns 001 + # Test: Existing ADR-001 returns 002 + # Test: Gaps in numbering (ADR-001, ADR-003) returns 004 + # Test: Non-existent directory errors appropriately + ``` + +4. **Update create-adr skill** to use script + +5. **Document pattern** in `_patterns.md` + +**Phase 2: Expand Script Library (When 3+ Scripts Exist)** + +1. Implement additional scripts (member parsing, filename sanitization) +2. Add comprehensive test suite +3. Integrate with CI/CD if available +4. Document script API in `_patterns.md` + +**Phase 3: Standardize (When 5+ Scripts Exist)** + +1. Create script development guide +2. Establish code review checklist for scripts +3. Consider script versioning if needed + +## Alternatives Considered + +### Alternative 1: Keep All Logic as LLM Instructions + +**Pros:** +* No infrastructure overhead +* No runtime dependencies +* Consistent skill implementation +* Simpler mental model + +**Cons:** +* Non-deterministic behavior for deterministic operations +* Not testable +* Security concerns with command construction +* Duplication across skills + +**Verdict:** Rejected - reliability and testability concerns outweigh simplicity + +### Alternative 2: Implement Script Library Immediately + +**Pros:** +* Proactive reliability improvement +* Establish pattern before habits form +* Comprehensive testing from start + +**Cons:** +* Premature infrastructure (only 1-2 candidates currently) +* No validated need - current approach working +* Development overhead without proven value +* Violates pragmatic principles (YAGNI) + +**Verdict:** Rejected - wait for trigger conditions to validate need + +### Alternative 3: Use MCP Tools Instead of Scripts + +Model Context Protocol tools could provide deterministic operations. + +**Pros:** +* Leverages existing MCP infrastructure +* Type-safe interfaces +* Better integration with Claude Code + +**Cons:** +* Tighter coupling to MCP server +* More complex development (TypeScript/Node.js) +* Heavier weight than simple scripts +* Skills become less portable + +**Verdict:** Rejected - scripts are simpler and more portable; MCP tools better suited for framework operations not skill helpers + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Strict + +**Overall Decision Complexity Assessment**: +This is a textbook case of appropriate deferral. The decision recognizes that script infrastructure has value BUT waits for proven need before implementing. The trigger conditions are concrete and evidence-based. + +**Decision Challenge**: + +**Proposed Decision**: "Defer script-based operations until 3+ candidates exist or problems emerge with current approach" + +**Necessity Assessment**: 3/10 +- **Current need**: Minimal - current approach working without issues +- **Future need**: Likely if skills scale, but uncertain timeline +- **Cost of waiting**: Low - can implement when problems actually occur +- **Evidence of need**: Zero bugs, zero conflicts, zero security incidents with current approach + +**Complexity Assessment**: 6/10 +- **Added complexity**: Test infrastructure, multi-language codebase, script maintenance +- **Maintenance burden**: Must maintain scripts, tests, and CI integration +- **Learning curve**: Contributors must know when to script vs. instruct +- **Dependencies introduced**: Python runtime, bash, test frameworks + +**Alternative Analysis**: +- "Keep instructions" considered (too conservative given reliability benefits) +- "Implement immediately" considered (premature given no validated need) +- "Use MCP tools" considered (overengineered) + +Decision correctly balances these alternatives with deferred implementation. + +**Simpler Alternative Proposal**: +**Maintain Current Approach Until Problems Emerge** (which is what decision proposes). + +The decision is ALREADY the pragmatic approach. This is how YAGNI should be applied: +1. Recognize potential future value +2. Document the pattern +3. Wait for trigger conditions +4. Implement when justified + +No further simplification needed. + +**Recommendation**: ✅ **Approve decision with strong endorsement** + +**Justification**: +This is exemplary pragmatic engineering. The decision: +- Acknowledges script benefits WITHOUT prematurely implementing +- Sets concrete trigger conditions (3+ scripts, bugs, conflicts) +- Documents pattern for future reference +- Defers infrastructure until proven necessary + +**Trigger Monitoring**: Watch for: +- ADR numbering bugs or conflicts +- Command construction errors +- Third deterministic operation candidate +- Security concerns with bash construction + +**Pragmatic Score**: +- **Necessity**: 3/10 (not needed now) +- **Complexity**: 6/10 (moderate infrastructure) +- **Ratio**: 2.0 *(Target: <1.5 for strict mode - OVER threshold, confirming deferral is correct)* + +**Overall Assessment**: +**Appropriately deferred**. This decision demonstrates mature engineering judgment: recognizing a good pattern while acknowledging it's not needed yet. The ratio of 2.0 confirms complexity outweighs necessity at present. Implement when triggers fire. + +## Validation + +**Acceptance Criteria (When Implementation Triggered):** + +- [ ] Trigger condition met (documented which one) +- [ ] `.claude/skills/scripts/` directory created +- [ ] At least one script implemented with tests +- [ ] Script successfully used by skill +- [ ] Tests pass in CI (if available) or locally +- [ ] Pattern documented in `_patterns.md` +- [ ] No regression in skill functionality + +**Testing Approach (When Implemented):** +1. **Unit Tests**: Test scripts with various inputs (normal, edge cases, errors) +2. **Integration Tests**: Invoke skills using scripts, verify end-to-end behavior +3. **Security Tests**: Attempt injection attacks on script inputs +4. **Performance Tests**: Ensure scripts don't introduce latency +5. **Portability Tests**: Verify scripts work on macOS, Linux, Windows (if applicable) + +## References + +* [Claude Skills Deep Dive Comparison](../../comparisons/claude-skills-deep-dive-comparison.md) +* [Claude Skills Deep Dive Takeaways](../../comparisons/claude-skills-takeaways.md) +* [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) (External) +* [ADR-007: Tool Permission Restrictions for Claude Skills](./ADR-007-tool-permission-restrictions-for-skills.md) +* [ADR-008: Progressive Disclosure Pattern for Large Skills](./ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +--- + +**Decision Date**: 2025-12-04 +**Approved By**: Pragmatic Enforcer (Champion), Security Specialist, Maintainability Expert +**Implementation Target**: Deferred - trigger conditions will determine timing diff --git a/.architecture/decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md b/.architecture/decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md new file mode 100644 index 0000000..4e54066 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md @@ -0,0 +1,201 @@ +# ADR-010: Externalizing Senior Engineering Thinking + +## Status + +Accepted + +## Context + +A fundamental challenge in software engineering is that the most valuable architectural thinking—what senior engineers do before writing code—rarely gets documented or shared. As Obie Fernandez describes in his 2025 article "What happens when the coding becomes the least interesting part of the work," this "senior thinking" includes: + +- **The Silent Checklist**: Pattern recognition questions that fire before coding begins (What kind of change is this? If this spreads, is that good? What's the blast radius?) +- **The Senior Toolkit**: Instincts for blast radius, sequencing, reversibility, social cost, and false confidence detection +- **Timing and Judgment**: Knowing not just WHAT to build but HOW and WHEN to implement it + +This knowledge stays invisible because: +1. When working alone, it remains internal +2. When pairing with other seniors, it's taken for granted +3. When pairing with juniors, only fragments get explained +4. Teams rarely standardize it because it feels boundless and hard to pin down +5. **There is no significant corpus of recorded senior architectural conversations in LLM training data** + +Obie notes: "Unless someone goes back in time and secretly records all the pair programming sessions that went on at Thoughtworks and Pivotal Labs and Hashrocket, there's literally no significant corpus/written record of this kind of spoken out loud thinking in existence. (Fuck, it would be so valuable though!)" + +This creates a critical problem: +- Junior and mid-level engineers lack access to this thinking +- Organizations can't standardize architectural decision-making +- AI coding agents lack the training data to develop senior judgment +- The industry repeatedly re-learns the same lessons + +**The insight**: When you pair program with AI coding agents, you must externalize your architectural thinking—you can't let the AI guess abstraction levels, risk tolerance, or sequencing decisions. This forced externalization makes reasoning visible in ways solo work rarely does. + +The AI Software Architect framework is uniquely positioned to capture and systematize this invisible knowledge. + +## Decision Drivers + +* **Knowledge Capture**: Create a documented corpus of senior architectural thinking that currently doesn't exist +* **Standardization**: Enable teams to share and align on architectural decision-making approaches +* **Training Value**: Provide learning resources for junior engineers and potentially future AI systems +* **Quality Improvement**: Make architectural reasoning explicit and reviewable rather than implicit +* **Framework Evolution**: Enhance our review and ADR processes to systematically capture senior thinking patterns +* **Industry Gap**: Address the lack of documented "senior thinking" that Obie identifies + +## Decision + +We are enhancing the AI Software Architect framework to **systematically externalize and document senior engineering thinking patterns** that are typically invisible. This positions the framework as not just a tool for individual projects, but as **the corpus of documented senior thinking that the industry lacks**. + +**Architectural Components Affected:** +* Review template (`.architecture/templates/review-template.md`) +* ADR template (`.architecture/templates/adr-template.md`) +* Architecture team members (`.architecture/members.yml`) +* Architectural principles (`.architecture/principles.md`) +* Framework documentation and positioning + +**Interface Changes:** +* Add "Senior Thinking Checklist" section to review template +* Add "Implementation Strategy" section to ADR template +* Add new "Implementation Strategist" team member +* Add new "Change Impact Awareness" architectural principle +* Update framework documentation to emphasize knowledge capture value + +## Consequences + +### Positive + +* **Creates the missing corpus**: We're building the documented record of senior thinking that Obie says doesn't exist +* **Improves decision quality**: Making reasoning explicit enables review and improvement +* **Accelerates learning**: Junior engineers can study documented architectural reasoning +* **Standardizes practice**: Teams can align on how to think about architectural decisions +* **Enhances framework value**: Positions us as solving a fundamental industry problem +* **Enables AI training**: Potential future value as training data for AI systems that need senior judgment +* **Forced deliberation**: The act of documentation slows thinking enough to catch intuition errors +* **Visible reasoning**: Makes trade-offs and assumptions explicit and debatable +* **Pattern recognition**: Accumulated ADRs and reviews become searchable knowledge base + +### Negative + +* **Additional documentation overhead**: Reviews and ADRs will take longer to create +* **Learning curve**: Teams need to learn to think in these structured ways +* **Potential analysis paralysis**: Too much structure could slow decision-making +* **Maintenance burden**: More documentation to keep current and relevant +* **Incomplete capture**: Can't capture every nuance of senior thinking in templates + +### Neutral + +* **Changes team workflows**: Architecture team members must adopt new thinking patterns +* **Expands template size**: Review and ADR templates become more comprehensive +* **Requires discipline**: Teams must commit to thorough documentation practices +* **Evolution over time**: The framework will continue to refine as we learn what works + +## Implementation + +### Phase 1: Enhance Core Templates + +**Review Template Enhancement** +* Add "Senior Thinking Checklist" section before individual reviews +* Include questions about change characterization, spread analysis, blast radius, reversibility, timing/sequencing, social cost, and confidence assessment +* Position this as framing for all subsequent specialist reviews + +**ADR Template Enhancement** +* Add "Implementation Strategy" section after Consequences +* Capture blast radius, reversibility, sequencing, social cost, and confidence level +* Make these considerations explicit parts of architectural decisions + +### Phase 2: Expand Architecture Team + +**Add Implementation Strategist** +* New specialist role focused on HOW and WHEN (not just WHAT) +* Specialties: change sequencing, blast radius analysis, reversibility design, team readiness assessment +* Participates in architecture reviews and ADR creation +* Brings explicit focus to timing and impact concerns + +### Phase 3: Update Architectural Principles + +**Add Change Impact Awareness Principle** +* Codify blast radius, reversibility, timing, and social cost as explicit architectural concerns +* Provide guidance on evaluating change impact +* Include examples and anti-patterns +* Position alongside existing principles + +### Phase 4: Framework Positioning + +**Update Documentation** +* Emphasize knowledge capture as core framework value +* Reference Obie's insights about missing senior thinking corpus +* Position framework as solving fundamental industry problem +* Create case studies showing framework capturing valuable architectural reasoning + +## Alternatives Considered + +### Alternative 1: Keep Templates Simple + +**Description**: Maintain current template structure without explicit senior thinking sections + +**Pros:** +* Lower overhead for creating reviews and ADRs +* Easier to learn and adopt +* Less risk of analysis paralysis + +**Cons:** +* Misses opportunity to capture valuable knowledge +* Doesn't address the fundamental problem Obie identifies +* Framework remains tactical rather than strategic +* Knowledge stays implicit and hard to share + +### Alternative 2: Create Separate Senior Thinking Documents + +**Description**: Don't modify templates, but create separate documents that capture senior thinking patterns + +**Pros:** +* Doesn't burden every review/ADR with additional structure +* Can be optional rather than mandatory +* Allows gradual adoption + +**Cons:** +* Senior thinking becomes disconnected from actual decisions +* Easy to skip or forget separate documentation +* Doesn't force externalization at decision time +* Less likely to become standard practice + +### Alternative 3: Implement Only Subset of Changes + +**Description**: Add some elements (e.g., just blast radius) but not comprehensive senior thinking framework + +**Pros:** +* Smaller scope and faster implementation +* Easier to test and refine +* Lower adoption barrier + +**Cons:** +* Loses holistic view of senior thinking +* May capture wrong subset of valuable knowledge +* Harder to position framework as comprehensive solution +* Incremental approach may lack coherent narrative + +## Validation + +**Acceptance Criteria:** +- [x] Review template includes Senior Thinking Checklist section +- [x] ADR template includes Implementation Strategy section +- [x] Implementation Strategist added to members.yml +- [x] Change Impact Awareness added to principles.md +- [ ] All templates tested with real architectural decisions +- [ ] Team trained on using enhanced templates +- [ ] At least 3 ADRs created using new template structure +- [ ] At least 1 architecture review using enhanced template + +**Testing Approach:** +* Create test ADRs using new template to validate completeness +* Conduct test architecture review with new checklist +* Gather feedback from framework users on template effectiveness +* Iterate on template structure based on real usage +* Compare quality of decisions made with vs without new sections +* Track time overhead and adjust if excessive + +## References + +* [Obie Fernandez - What happens when the coding becomes the least interesting part of the work (2025)](https://obie.medium.com/what-happens-when-the-coding-becomes-the-least-interesting-part-of-the-work-ab10c213c660) +* [ADR-002: Pragmatic Guard Mode](.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md) - Related concern about preventing over-engineering +* [ADR-005: LLM Instruction Capacity Constraints](.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Context for template design +* `.architecture/principles.md` - Existing architectural principles +* `.architecture/members.yml` - Architecture team member definitions diff --git a/.architecture/decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md b/.architecture/decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md new file mode 100644 index 0000000..9aca817 --- /dev/null +++ b/.architecture/decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md @@ -0,0 +1,1657 @@ +# ADR-011: Claude Marketplace Plugin Implementation + +## Status + +Accepted + +**Path Selected**: Path A - Immediate Marketplace Submission (Revised) +**Decision Date**: 2026-01-21 +**Decision Maker**: Framework Maintainer +**Research Update**: 2026-01-21 - Post-decision research revealed Claude Code uses distributed marketplace model, significantly reducing implementation timeline from 6-10 weeks to 2-3 weeks + +## Context + +The AI Software Architect framework currently distributes through three channels: Claude Skills (reusable skills in ~/.claude/skills/), MCP Server (npm package: ai-software-architect), and Traditional Clone (git clone to .architecture/). The framework has achieved organic growth through GitHub and strong technical foundations with version 1.3.0. + +**Opportunity**: Claude Code's distributed marketplace system enables creation of self-hosted plugin marketplaces that improve discoverability for Claude-native users. Unlike centralized app stores (iOS, Chrome), anyone can create and host their own marketplace via a GitHub repository with a `marketplace.json` file. This provides a fourth distribution channel without submission/approval processes. + +**Current State**: +- **Technology**: Node.js 18+, @modelcontextprotocol/sdk 1.0.4, comprehensive YAML-based configuration +- **Codebase**: ~2,000 lines in MCP server (mcp/index.js), mature documentation (ADRs, reviews, principles), production-ready features (architecture reviews, ADR creation, pragmatic mode) +- **Maintenance**: Solo maintainer managing three distribution channels +- **Growth**: Organic through GitHub with demonstrated market validation + +**Marketplace Characteristics (Research Findings)**: +- **Distributed Model**: Each organization/project hosts their own marketplace (no centralized Anthropic marketplace) +- **Self-Publishing**: No submission/approval process - create marketplace.json and publish to GitHub +- **User Installation**: Users add marketplaces via `/plugin marketplace add owner/repo` +- **Discovery Challenge**: No centralized discovery - relies on GitHub, SEO, and community awareness +- **Quality Standards**: Self-enforced - no mandatory review process +- **Thin Wrapper Pattern**: Plugins can delegate to existing npm packages (95%+ code sharing) + +**Implementation Requirements (Revised)**: +Post-decision research revealed actual requirements are minimal compared to initial assessment: +- **Plugin Manifest**: `.claude-plugin/plugin.json` with name, version, description (1 hour) +- **Marketplace Catalog**: `.claude-plugin/marketplace.json` listing plugins (1 hour) +- **MCP Configuration**: `.mcp.json` delegating to existing npm package (30 minutes) +- **Documentation**: README updates with installation instructions (2-3 hours) +- **Testing**: Local validation with `claude --plugin-dir ./` (1 hour) +- **Total Timeline**: 2-3 weeks (down from original 6-10 weeks estimate) + +**Readiness Gap Reassessment**: +Original 4-7 week preparation timeline was based on assumption of centralized marketplace with quality gates. Distributed model eliminates: +- ❌ Submission approval process (no waiting) +- ❌ Mandatory test suite before publishing (self-enforced standards) +- ❌ Mandatory security audit before publishing (self-enforced standards) +- ❌ Mandatory performance benchmarks before publishing (self-enforced standards) +- ✅ Quality improvements still valuable but can be done iteratively post-launch + +**Strategic Tension (Resolved by Research)**: +The architecture review recommended a two-phase approach to validate demand before committing to a 4-7 week marketplace preparation phase. Post-decision research revealed the preparation timeline drops to 2-3 weeks due to the distributed marketplace model. This eliminates the primary rationale for phased validation (avoiding expensive upfront investment), making immediate marketplace creation a lower-risk decision. + +This ADR documents the original analysis and the revised implementation approach based on research findings. + +## Decision Drivers + +* **Discovery Enhancement**: Marketplace provides Claude-native discovery path for users who don't browse GitHub, potentially expanding user base significantly +* **Market Positioning**: Early presence in emerging marketplace creates first-mover advantage and establishes framework as primary architecture tool +* **Quality Requirements**: Marketplace submission requires production-grade quality (tests, security audit, performance benchmarks) that benefits all users +* **Maintenance Burden**: Fourth distribution channel increases ongoing support obligations for solo maintainer (version sync, marketplace compliance, increased user expectations) +* **Competitive Landscape**: No direct competitors visible in marketplace currently, creating opportunity window +* **Technical Foundation**: Existing MCP server provides excellent base; thin wrapper architecture (95%+ code sharing) minimizes additional burden +* **Demand Validation**: Framework growing organically without marketplace; unclear if marketplace addresses acute pain point or represents nice-to-have growth accelerator +* **Readiness Assessment**: Preparation gap (4-7 weeks) between current state and marketplace-ready; premature submission risks poor ratings and reputation damage +* **Reversibility**: Enhanced GitHub presence is fully reversible; marketplace creates ongoing obligations that are harder to exit +* **Progressive Disclosure Advantage**: ADR-005 instruction capacity optimization positions framework competitively for marketplace semantic search and token efficiency + +## Decision + +**We will pursue Path A: Immediate Marketplace Creation** with a revised 2-3 week implementation timeline. + +This decision prioritizes marketplace presence while acknowledging that post-decision research fundamentally changed the implementation approach. The distributed marketplace model eliminates submission approval processes and mandatory quality gates, reducing implementation from 6-10 weeks to 2-3 weeks. The thin wrapper architecture (delegating to existing MCP npm package) minimizes new code and maintenance burden. + +**Key Implementation Points**: +1. Create self-hosted marketplace in our GitHub repository (`.claude-plugin/marketplace.json`) +2. Create plugin manifest (`.claude-plugin/plugin.json`) referencing existing MCP package +3. Configure MCP delegation (`.mcp.json` invoking npm package via `npx`) +4. Update documentation with plugin installation instructions +5. Self-publish immediately (no approval process) +6. Quality improvements (tests, security, performance) remain valuable but can be implemented iteratively post-launch + +### Path A: Immediate Marketplace Creation (Revised) + +**Description**: Create self-hosted marketplace immediately with 2-3 week implementation timeline, leveraging distributed marketplace model. + +**Revised Approach** (Based on Research Findings): +1. **Week 1**: Plugin manifest creation, MCP configuration, local testing (5-8 hours total) +2. **Week 2**: Documentation updates, installation guide, demo video (8-12 hours total) +3. **Week 3**: Announcement, community engagement, initial feedback gathering (4-6 hours total) + +**No Longer Required for Initial Launch**: +- ❌ Centralized marketplace submission/approval (no centralized marketplace exists) +- ❌ Extensive test suite before publishing (can iterate post-launch) +- ❌ Formal security audit before publishing (can iterate post-launch) +- ❌ Performance benchmarks before publishing (can iterate post-launch) +- ❌ Beta phase with approval gates (self-publish, self-promote) + +**Architecture**: Thin wrapper pattern (unchanged) +``` +GitHub Repository (.claude-plugin/marketplace.json) + ↓ +Plugin Manifest (.claude-plugin/plugin.json) + ↓ +MCP Configuration (.mcp.json) + ↓ (delegates via npx) +MCP Core Package (ai-software-architect npm) +``` + +**Rationale (Revised)**: Distributed marketplace model makes immediate creation low-risk (2-3 weeks vs. 6-10 weeks). No submission approval means fully under our control. Thin wrapper delegates to existing npm package, minimizing maintenance burden. Quality improvements remain valuable but can be implemented iteratively rather than as prerequisites. + +**What Changed Post-Decision**: +After deciding on Path A, comprehensive research of official Claude Code documentation revealed: +- **No centralized marketplace**: Claude Code uses distributed, self-hosted marketplaces (not an Anthropic-curated app store) +- **No submission process**: We create `.claude-plugin/marketplace.json` in our GitHub repo and self-publish +- **No approval gates**: No waiting for review, no quality requirements to meet before publishing +- **Lower implementation cost**: 2-3 weeks (manifest creation + docs) vs. 6-10 weeks (extensive preparation + beta + approval) +- **Higher reversibility**: Fully under our control (our GitHub repo), no external approval to unwind +- **Different discovery model**: No centralized search/ratings; discovery via GitHub, SEO, community + +See [Research Document](./../research/claude-marketplace-requirements.md) for complete findings. + +### Path B: Phased Approach (Two-Phase Strategy) [Not Chosen] + +**Note**: This path was recommended unanimously by the architecture team but not selected. It is documented here for reference and future consideration. + +**Description**: Phase 1 validates demand through enhanced GitHub presence before conditionally proceeding to Phase 2 marketplace submission. + +**Phase 1** (Immediate, Weeks 1-2): +- Improve README (video, install decision tree, quick-start) +- Enable GitHub Discussions (FAQ, use cases, showcase) +- Create SHOWCASE.md (example projects, testimonials) +- Optimize SEO (repo description, topics, keywords) +- Establish baseline metrics (clone rate, installation preferences) + +**Phase 2** (Conditional, Month 3-4): +- **Triggers**: Proceed only if: + - GitHub clone rate plateaus after Phase 1 enhancements, OR + - 10+ explicit user requests for marketplace listing, OR + - Marketplace becomes dominant Claude discovery channel, OR + - Maintainer capacity increases (co-maintainer, automation complete) +- **Execution**: 6-week marketplace preparation (same as Path A) + +**Architecture** (if Phase 2 triggered): Same thin wrapper as Path A + +**Rationale**: Reduces risk by validating demand first, delivers quick value (2 weeks) while preserving marketplace option, fully reversible Phase 1 improves experience regardless of Phase 2 decision. + +### Architectural Decision (Regardless of Path) + +**If marketplace plugin is built, the architectural approach is:** + +**Thin Wrapper Architecture** with 95%+ code sharing: +- Marketplace plugin package (@ai-software-architect/marketplace) contains only marketplace-specific metadata and minimal adapter code +- Core functionality delegated to existing MCP npm package (ai-software-architect) +- Benefits: Minimizes maintenance burden, ensures feature parity across all channels, improvements benefit all users simultaneously +- Trade-off: Limits marketplace-specific optimizations initially (can evolve based on validated demand) + +**Core Parity + Optional Enhancements**: +- All channels provide identical core features (setup, ADR creation, reviews, status, pragmatic mode, implementation guidance) +- Platform-specific enhancements remain optional (Skills auto-invocation, marketplace ratings UI, MCP programmatic API) +- Users can switch installation methods without losing functionality + +**Version Synchronization**: +- Single version number shared across all channels +- Automated release pipeline: git tag → npm publish → Skills update → marketplace sync +- Prevents version drift and user confusion + +**Architectural Components Affected:** +* mcp/index.js - Needs modularization (extract to tools/ directory) +* mcp/package.json - Version coordination, marketplace metadata +* .github/workflows/ - New CI/CD pipeline for multi-channel releases +* README.md - Installation decision tree (Phase 1) or marketplace listing (Path A/Phase 2) +* .architecture/templates/ - No changes (core functionality unchanged) + +**Interface Changes:** +* New installation path: Claude marketplace (fourth channel) +* Automated release process (replaces manual coordination) +* Optional marketplace-specific features (ratings, in-app UI) in future iterations + +## Consequences + +### Path A: Immediate Marketplace Submission + +#### Positive + +* **Earliest Market Presence**: 6-week path to marketplace listing captures first-mover advantage in emerging platform +* **Brand Recognition**: Early presence establishes framework as "the" architecture tool for Claude users before competitors appear +* **Comprehensive Preparation**: 6-week preparation phase delivers production-grade improvements (tests, security audit, performance optimization) that benefit all users regardless of marketplace success +* **Quality Foundation**: Marketplace submission forces addressing technical debt (test suite, modularization) that improves long-term maintainability +* **Single Decision Point**: Clear 6-week plan with defined deliverables eliminates ongoing "should we do marketplace?" debate +* **Semantic Search Advantage**: Progressive disclosure pattern (ADR-005) optimizes for marketplace discovery through LLM-powered search +* **Auto-Update Infrastructure**: Marketplace enables automatic updates for users, reducing version fragmentation + +#### Negative + +* **Unvalidated Demand**: Proceeding without evidence that marketplace solves acute discovery problem; framework growing organically without it +* **Opportunity Cost**: 6 weeks invested before validating if marketplace drives meaningful adoption; could address other user needs instead +* **Limited Reversibility**: Marketplace submission creates ongoing obligations (support, compliance, maintenance); harder to exit than not entering +* **Maintenance Burden**: Fourth channel increases support surface for solo maintainer even with thin wrapper architecture; version sync, marketplace-specific issues, increased user expectations +* **Premature Commitment**: If marketplace doesn't deliver ROI, stuck with maintenance burden and missed opportunity to pursue alternatives +* **Quality Risk**: Aggressive 6-week timeline may compromise preparation quality if unexpected issues arise; poor launch ratings are hard to recover from + +#### Neutral + +* **Preparation Timeline**: 6-week preparation is significant investment but necessary for quality; no shortcuts available +* **Beta Phase**: Beta submission mitigates risk but adds 2-4 weeks before stable promotion; extends timeline but improves quality +* **Competitive Window**: First-mover advantage assumes marketplace becomes primary discovery; timing uncertain +* **User Distribution**: Unknown what percentage of potential users will discover framework via marketplace vs. GitHub vs. npm + +### Path B: Phased Approach (Two-Phase Strategy) + +#### Positive + +* **Risk Reduction**: Phase 1 (2 weeks) validates marketplace demand before Phase 2 (6 weeks) commitment; data-driven decision-making +* **Quick Value**: Phase 1 improvements (README, Discussions, SHOWCASE) deliver immediate benefits to all users regardless of Phase 2 +* **Fully Reversible**: Phase 1 enhances GitHub presence with zero downside; can proceed or stop based on evidence +* **Resource Efficiency**: Avoid 6-week marketplace investment if Phase 1 reveals demand is satisfied by enhanced GitHub presence +* **Capacity Flexibility**: Gives time for automation and tooling to mature, potentially adding co-maintainer before fourth channel +* **Lower Pressure**: Phase 1 success creates natural momentum for Phase 2; failure provides clear signal not to proceed +* **Validates Assumption**: Tests whether discovery is actual problem vs. framework perception issue (documentation, positioning) + +#### Negative + +* **Delayed Marketplace**: Earliest marketplace presence is Month 3-4 (if triggered); risks losing first-mover advantage to competitors +* **Two Decision Points**: Requires evaluation after Phase 1 (Month 3) to determine Phase 2; ongoing strategic consideration +* **Competitor Risk**: Delayed entry allows competitors to claim marketplace positioning first +* **Signal Interpretation**: Phase 1 metrics (clone rate, user requests) may not perfectly predict marketplace success; could miss opportunity due to false negative +* **Extended Timeline**: 8-10 weeks total (2 weeks Phase 1 + monitoring + 6 weeks Phase 2) vs. 6 weeks for immediate path +* **Analysis Burden**: Requires establishing metrics, monitoring, and decision framework for Phase 2 trigger evaluation + +#### Neutral + +* **Trigger Conditions**: Success criteria for Phase 2 (10+ requests, clone rate plateau) are somewhat arbitrary; require judgment +* **Preparation Reuse**: If Phase 2 triggered, can reuse some Phase 1 work (documentation, showcase) for marketplace listing +* **Timing Flexibility**: Phase 2 can be deferred indefinitely if Phase 1 continues delivering value; not now-or-never decision + +### Shared Consequences (Both Paths) + +#### Positive + +* **Thin Wrapper Architecture**: 95%+ code sharing minimizes maintenance burden of fourth channel +* **Quality Improvements**: Test suite, security audit, performance optimization benefit all users regardless of marketplace outcome +* **Multi-Channel Strategy**: Framework supports multiple user preferences (Skills, MCP, Traditional, Marketplace) maximizing accessibility + +#### Negative + +* **Complexity Increase**: Four distribution channels adds conceptual overhead for users ("which should I use?") requiring clear decision guidance +* **Support Surface**: More channels means more potential support questions and edge cases even with feature parity + +#### Neutral + +* **Solo Maintainer Constraint**: Both paths face fundamental capacity limitation; automation and thin wrapper mitigate but don't eliminate +* **Marketplace Maturity**: Claude marketplace is emerging platform; both paths bet on marketplace becoming significant discovery channel + +## Implementation Strategy + +### Blast Radius + +#### Impact Scope + +**If marketplace plugin succeeds**: +- Positive blast radius: New user segment (Claude-native users unfamiliar with GitHub/npm) +- Expands framework reach and accelerates adoption +- Increases visibility through marketplace ratings and curation + +**If marketplace plugin fails (poor ratings, low adoption)**: +- Negative blast radius: Reputation damage in Claude ecosystem +- Poor ratings are public and persistent, affecting all channels +- Support burden without corresponding adoption benefit +- Time investment (6 weeks) lost to opportunity cost + +**If marketplace plugin creates maintenance issues**: +- Affects solo maintainer capacity for all channels +- Version drift risk if release automation inadequate +- Support questions increase without proportional value + +#### Affected Components + +**Codebase**: +- mcp/index.js - Modularization (1,823 lines → focused modules) +- mcp/tools/ - New directory structure (setup.js, adr.js, review.js, pragmatic.js, status.js, implementation.js) +- mcp/tests/ - New test suite (integration tests for all operations) +- .github/workflows/ - CI/CD pipeline for multi-channel releases + +**Distribution**: +- Existing: Claude Skills, MCP npm package, Traditional clone +- New: Claude marketplace listing (fourth channel) +- Release process: Manual → Automated git tag workflow + +**Documentation**: +- README.md - Installation decision tree (helps users choose channel) +- SECURITY.md - Formal security policy for marketplace trust +- Marketplace listing - Descriptions, screenshots, onboarding + +#### Affected Teams + +**Internal** (Solo Maintainer): +- Development: 6 weeks preparation work (tests, refactoring, optimization) +- Support: Increased support surface from fourth channel +- Operations: Release automation setup and monitoring +- Strategy: Ongoing marketplace performance evaluation + +**External** (Users): +- Current users: No disruption (existing channels unchanged) +- New users: Additional installation option with marketplace discovery +- Community: Potential growth in GitHub Discussions and SHOWCASE contributions + +#### User Impact + +**Positive**: +- Improved discoverability for Claude-native users +- Auto-update capability for marketplace installs +- Trust signals from marketplace curation and ratings +- Installation decision tree clarifies channel choices + +**Negative**: +- Potential confusion from four installation methods +- Marketplace-specific issues (if quality preparation inadequate) +- Support response time may increase with larger user base + +**Mitigation**: +- Clear installation decision tree in README and marketplace listing +- Feature parity documentation matrix (what's core vs. platform-enhanced) +- Set expectations: 3-5 day support response time in marketplace description +- Beta phase validates quality before stable promotion + +#### Risk Mitigation + +1. **Quality Risk** (poor marketplace ratings): + - Mitigation: Complete 6-week preparation checklist (no shortcuts) + - Beta submission for early feedback before stable + - User testing (3-5 unfamiliar users) validates UX + - Success criteria: 4+ stars after 100 installs + +2. **Maintenance Burnout**: + - Mitigation: Thin wrapper architecture (95%+ code sharing) + - Automated release pipeline reduces manual work + - Community moderators for GitHub Discussions + - Deprecation path: Remove least-used channel if unsustainable + +3. **Version Drift**: + - Mitigation: Single version number across all channels + - Automated workflow: git tag → all channels updated + - CI tests verify feature parity + - Monitoring: Track version distribution monthly + +4. **Demand Mismatch** (marketplace doesn't drive adoption): + - Mitigation: Phase 1 validates demand (Path B only) + - Success metrics: 20%+ new users from marketplace + - Review at Month 6: Deprecate if <10% usage + high burden + - Reversibility: Thin wrapper enables graceful sunset + +### Reversibility + +#### Reversibility Level + +**Path A (Immediate Marketplace)**: **Low-Medium Reversibility** +- Marketplace submission creates public commitment and user expectations +- Poor ratings are persistent and visible, affecting reputation +- Deprecation possible but creates user disruption and negative perception +- Time investment (6 weeks preparation) is sunk cost + +**Path B, Phase 1 (Enhanced GitHub)**: **High Reversibility** +- GitHub improvements have zero downside, benefit all users +- No commitment to Phase 2; can stop at any point +- Investment (2 weeks) delivers value regardless of marketplace decision + +**Path B, Phase 2 (Marketplace if triggered)**: **Low-Medium Reversibility** +- Same reversibility profile as Path A once marketplace submitted +- Difference: Validated demand reduces likelihood of needing reversal + +**Thin Wrapper Architecture**: **Improves Reversibility** +- 95% code sharing means deprecating marketplace has minimal technical debt +- No marketplace-specific core features to migrate users away from +- Can sunset marketplace listing while preserving MCP npm package + +#### Rollback Feasibility + +**Before Marketplace Submission**: +- **Feasibility**: High +- **Process**: Stop preparation work, document learnings in ADR update +- **Impact**: Lost time investment, no external commitment +- **Timeline**: Immediate + +**During Beta Phase**: +- **Feasibility**: Medium-High +- **Process**: Acknowledge beta didn't meet quality bar, withdraw submission +- **Impact**: Some reputation hit ("beta didn't work out"), but recoverable +- **Timeline**: 1-2 weeks (communication, cleanup) + +**After Stable Launch**: +- **Feasibility**: Low-Medium +- **Process**: Announce deprecation (3-6 month timeline), guide users to alternative channels +- **Impact**: User disruption, negative perception, permanent marketplace record +- **Timeline**: 3-6 months (graceful migration period) + +#### Migration Paths + +**Forward Migration** (implementing marketplace): +- Path A: Direct 6-week preparation → beta → stable +- Path B: Phase 1 (2 weeks) → trigger evaluation → Phase 2 (6 weeks) → beta → stable + +**Rollback Migration** (exiting marketplace): +1. Announce deprecation with clear timeline (3-6 months) +2. Update marketplace listing: "Deprecated - use MCP or Skills instead" +3. Create migration guide: Marketplace → MCP npm package (identical functionality) +4. Redirect support: Marketplace issues → GitHub Discussions +5. Archive marketplace listing (if platform allows) or mark unmaintained + +**Evolution Path** (marketplace succeeds): +1. Start: Thin wrapper with feature parity (MVP) +2. Validation: Gather usage data via observability (3-6 months) +3. Enrichment: Add marketplace-specific features if data justifies (e.g., guided tutorials, in-app analytics, visual member customization) +4. Optimization: Leverage platform capabilities (auto-updates, ratings integration, community showcase) + +#### Options Preserved + +**By Phased Approach** (Path B): +- Option to stop after Phase 1 if metrics don't justify Phase 2 +- Option to delay Phase 2 until maintainer capacity increases +- Option to validate assumptions before costly commitment +- All Phase 1 improvements retained regardless of Phase 2 decision + +**By Thin Wrapper Architecture**: +- Option to add marketplace-specific features later (progressive enrichment) +- Option to deprecate marketplace without losing core codebase +- Option to repurpose wrapper for future distribution channels +- Flexibility to optimize per-platform without code duplication + +**By Beta Submission**: +- Option to iterate based on early feedback before stable +- Option to withdraw if beta reveals fundamental issues +- Option to validate quality with limited blast radius + +#### Commitments Made + +**Marketplace Submission Commits To**: +- Ongoing support and maintenance for marketplace users +- Marketplace policy compliance (security, privacy, content) +- Public ratings and reviews (reputation risk) +- Version synchronization across all channels +- Support response time expectations (<3-5 days) + +**Path A Commits Immediately**: +- 6-week preparation timeline before any validation +- Fourth distribution channel maintenance from Day 1 +- Marketplace submission outcome (accept/reject) outside our control + +**Path B Defers Commitment**: +- Only commit to 2-week Phase 1 immediately +- Marketplace commitment (Phase 2) is conditional on triggers +- Data-driven decision point at Month 3 review + +### Sequencing & Timing + +#### Prerequisites + +**For Either Path**: +- [ ] Strategic decision documented (this ADR) +- [ ] Maintainer capacity assessment (hours/week available) +- [ ] Current baseline metrics (GitHub clone rate, support time/week) + +**For Path A or Path B Phase 2**: +- [ ] Test framework selected (Node.js test runner or vitest) +- [ ] Security audit schedule confirmed +- [ ] Performance benchmarking tools identified +- [ ] CI/CD platform ready (GitHub Actions) +- [ ] Beta testing plan and tester recruitment strategy +- [ ] Marketplace submission requirements researched + +**For Path B Phase 1**: +- [ ] Video recording software/plan (demo video for README) +- [ ] GitHub Discussions categories defined +- [ ] SHOWCASE examples identified (need 3-5 example projects) + +#### System Readiness + +**Observability**: **Partially Ready** +- Current: GitHub Issues for feedback, qualitative only +- Needed: Local telemetry for usage patterns (deferred to Month 2-3) +- Marketplace Impact: Can proceed without, but limits iteration capability +- **Assessment**: Adequate for launch, improve post-launch + +**Dependencies**: **Ready** +- MCP SDK: Stable (@modelcontextprotocol/sdk 1.0.4) +- Node.js: LTS versions well-supported (18+) +- YAML parsing: Mature (js-yaml) +- **Assessment**: No dependency blockers + +**Infrastructure**: **Needs Preparation** +- Current: Manual npm publish, manual release coordination +- Needed: CI/CD pipeline for multi-channel releases (3-4 days) +- Marketplace Impact: Critical for preventing version drift +- **Assessment**: Build during preparation phase (Week 5-6) + +**Data Migration**: **Not Applicable** +- No user data migrations required +- No breaking changes to existing channels +- **Assessment**: No concerns + +#### Team Readiness + +**Understanding**: **High for Core, Medium for Marketplace** +- Team (architecture review members) understands marketplace opportunity thoroughly +- Maintainer understands MCP architecture and framework internals +- Marketplace-specific knowledge (submission process, policies) needs research (1-2 days) +- **Assessment**: Research needed but not blocking + +**Skills**: **High for Core, Medium for Marketplace** +- Strong: Node.js development, MCP protocol, architecture documentation +- Adequate: Testing (setup needed but concept understood), security practices +- Needs Development: CI/CD pipeline setup, performance benchmarking, user testing facilitation +- **Assessment**: Skill gaps addressable during preparation + +**Training Needs**: +- Marketplace submission guidelines (2-4 hours research) +- Test framework setup and best practices (1 day learning) +- Performance benchmarking tools (4-8 hours) +- CI/CD pipeline configuration (4-8 hours) +- User testing facilitation techniques (4 hours) +- **Total**: ~3 days learning budget within 6-week timeline + +**Consensus**: **Strong for Phased, Mixed for Immediate** +- Architecture team unanimous: Two-phase approach (Path B) recommended +- User stated preference: "Pursue marketplace now" (Path A) +- **Resolution**: This ADR presents both paths for informed decision +- **Assessment**: Consensus on phased approach; immediate path requires accepting architects' concerns + +#### Sequencing Concerns + +**Should Other Changes Happen First?** + +**Path A Sequencing**: +1. ✅ **First**: Test suite + modularization (Week 1-2) - Foundation for confident changes +2. ✅ **Second**: Security audit + performance baseline (Week 3-4) - Quality gates for submission +3. ✅ **Third**: Error UX + metadata (Week 5) - User-facing polish +4. ✅ **Fourth**: Beta submission + testing (Week 6) - Validation before stable +5. ✅ **Last**: Stable promotion (Month 3) - Full marketplace presence + +**Path B Sequencing**: +1. ✅ **First**: Phase 1 GitHub enhancements (Week 1-2) - Quick value, validate demand +2. ✅ **Second**: Monitor metrics (Month 1-3) - Gather evidence +3. ⏸️ **Conditional**: Phase 2 marketplace preparation (same as Path A sequencing) - Only if triggered + +**Sequencing Rationale**: +- **Tests first** because they enable confident refactoring and catch regressions +- **Modularization first** because it improves all subsequent work (easier to test, audit, optimize modular code) +- **Security before beta** because marketplace requires trust, can't fix post-submission +- **Performance before beta** because first impressions matter, poor performance affects ratings +- **Beta before stable** because validation with limited blast radius catches issues +- **Path B Phase 1 first** because low-cost validation reduces Phase 2 risk + +**What Coordination Is Required?** + +**Internal Coordination** (Solo Maintainer): +- No team coordination needed (single contributor) +- Self-coordination: Block calendar for 6-week preparation (Path A) or 2-week Phase 1 (Path B) +- Priority trade-offs: Marketplace preparation vs. feature requests vs. support + +**External Coordination** (Community): +- Beta tester recruitment (announce 2-3 weeks before Week 6) +- SHOWCASE contributor outreach (for example projects) +- GitHub Discussions seeding (recruit 2-3 power users to seed discussions) +- Social media timing (coordinate marketplace launch announcement) + +**Platform Coordination** (Claude Marketplace): +- Submit inquiry about marketplace requirements (Week 0, 1-2 day response) +- Beta submission review (Week 6, 1-2 week review cycle) +- Stable promotion approval (Month 3, variable timeline) + +**Are There Timing Dependencies?** + +**Claude Marketplace Maturity**: +- Marketplace is emerging (new platform, evolving) +- Risk: Submitting too early → immature platform, limited discoverability +- Risk: Submitting too late → competitors claim positioning +- **Assessment**: Timing window open now but closing (next 3-6 months) + +**Framework Roadmap**: +- No upcoming breaking changes planned +- No features in flight that would conflict +- **Assessment**: No internal timing blockers + +**Maintainer Capacity**: +- Solo maintainer availability fluctuates +- 6-week preparation requires sustained focus (~20-30 hours/week) +- **Assessment**: Confirm capacity before committing to Path A + +**Competitive Timing**: +- No direct competitors visible in marketplace currently +- Risk increases over time as marketplace matures +- **Assessment**: First-mover window is limited (months, not years) + +#### Readiness Assessment + +**Path A (Immediate Marketplace)**: **Needs Preparation** +- System: Ready after 6-week preparation phase +- Team: Ready with 3 days learning budget +- Timing: Window open, capacity needs confirmation +- **Recommendation**: Proceed if maintainer capacity available (20-30 hrs/week for 6 weeks) + +**Path B, Phase 1 (Enhanced GitHub)**: **Ready to Implement** +- System: Ready (no technical prerequisites) +- Team: Ready (skills available) +- Timing: Optimal (immediate value, no dependencies) +- **Recommendation**: Proceed immediately (2 weeks distributed effort) + +**Path B, Phase 2 (Marketplace if Triggered)**: **Conditional on Phase 1** +- Evaluate readiness after 3-month Phase 1 monitoring +- Reassess maintainer capacity, automation maturity, demand signals +- **Recommendation**: Defer decision until Phase 1 complete + +### Social Cost + +#### Learning Curve + +**For Users**: +- **Path A**: Medium + - New installation option (marketplace) requires decision guidance + - Four installation methods create choice complexity + - Mitigation: Installation decision tree in README and marketplace listing + - Time to proficiency: <30 minutes (choosing channel + installation) + +- **Path B, Phase 1**: Low + - Improvements to existing GitHub experience (README, Discussions) + - No new concepts or installation methods + - Time to proficiency: <5 minutes (marginally better onboarding) + +- **Both Paths**: Core functionality unchanged + - Users who choose any channel get same features (ADRs, reviews, pragmatic mode) + - No new architectural concepts to learn + - Existing users unaffected + +**For Maintainer**: +- **Path A**: High + - Test framework setup and writing tests (new skill, 1 day learning) + - CI/CD pipeline configuration (4-8 hours) + - Performance benchmarking (4-8 hours) + - Marketplace submission process (2-4 hours) + - Total learning time: ~3 days within 6-week timeline + - Ongoing: Fourth channel support patterns (learn through experience) + +- **Path B, Phase 1**: Low + - Content creation (README, SHOWCASE) uses existing skills + - GitHub Discussions administration (< 2 hours learning) + - Ongoing: Minimal new knowledge required + +#### Cognitive Load + +**Path A (Marketplace)**: + +**Mental Overhead**: +- Four distribution channels to maintain (Skills, MCP, Traditional, Marketplace) +- Version synchronization across channels (mitigated by automation) +- Channel-specific support questions ("How do I install from marketplace?") +- Marketplace policy compliance monitoring +- Multi-channel release coordination (mitigated by CI/CD) + +**Complexity vs. Clarity Trade-off**: +- **Complexity Added**: Fourth distribution channel, marketplace-specific issues, release automation pipeline +- **Clarity Improved**: Forces documentation of installation decision criteria, formalizes security practices, improves test coverage +- **Net Assessment**: Complexity increase justified IF marketplace drives significant adoption (>20% of users) + +**Decision Fatigue**: +- Four-channel strategy requires ongoing "which channel for this user?" thinking +- Feature parity maintenance: "Should this feature work in marketplace?" decisions +- Support prioritization: "Which channel's issues are most urgent?" + +**Path B, Phase 1 (Enhanced GitHub)**: + +**Mental Overhead**: +- Minimal: Improves existing channel documentation +- GitHub Discussions moderation (incremental, ~1 hour/week) +- SHOWCASE maintenance (ad-hoc, community-driven) + +**Complexity vs. Clarity Trade-off**: +- **Complexity Added**: Minimal (content creation, community engagement) +- **Clarity Improved**: Better README, documented installation choices, community examples +- **Net Assessment**: Clarity gains significantly outweigh minimal complexity + +**Path B, Phase 2 (Marketplace if Triggered)**: +- Same cognitive load as Path A +- Difference: Validated demand justifies cognitive overhead + +#### Clarity Assessment + +**Will This Help More Than Confuse?** + +**Path A**: **Depends on Execution** +- **Helps if**: Marketplace becomes primary Claude discovery, installation decision tree is clear, feature parity maintained +- **Confuses if**: Users don't know which channel to choose, marketplace-specific issues create support burden, documentation unclear +- **Probability of Help**: Medium (60% - depends on marketplace adoption and documentation quality) +- **Mitigation**: Excellent installation decision tree, feature parity matrix, clear channel differentiation + +**Path B, Phase 1**: **Yes - Clear Help** +- Better README helps all users immediately +- GitHub Discussions reduces "where do I ask questions?" confusion +- SHOWCASE provides concrete examples and inspiration +- **Probability of Help**: High (90% - direct improvements to existing pain points) + +**Explanation Required**: + +**Path A**: +- Installation decision tree (visual flowchart + text) +- Channel comparison matrix (when to use Skills vs. MCP vs. Traditional vs. Marketplace) +- Feature parity documentation (what's core vs. platform-specific) +- Marketplace-specific setup guide (first-run experience) +- Support channels guide (where to get help for each installation method) + +**Path B, Phase 1**: +- Updated README with video and quick-start +- GitHub Discussions welcome post and FAQ +- SHOWCASE contribution guidelines + +**Onboarding Impact**: + +**Path A**: +- **Positive**: Marketplace onboarding can be optimized (tutorial flow, guided setup) +- **Negative**: More choices create decision paralysis for new users +- **Net**: Neutral to slightly negative unless decision tree is exceptional +- **Recommendation**: User testing (3-5 unfamiliar users) validates onboarding + +**Path B, Phase 1**: +- **Positive**: Improved README and video accelerate time-to-value +- **Negative**: None (improvements only) +- **Net**: Positive onboarding impact +- **Recommendation**: Quick implementation, immediate benefit + +#### Documentation Needs + +**Path A (Immediate Marketplace)**: +- [ ] Installation decision tree (flowchart + text) - 1 day +- [ ] Feature parity matrix (core vs. platform-enhanced) - 0.5 days +- [ ] Marketplace-specific setup guide - 0.5 days +- [ ] SECURITY.md (formal security policy) - 0.5 days +- [ ] Marketplace listing description (semantic search optimized) - 1 day +- [ ] Contributing guidelines update (new structure after modularization) - 0.5 days +- [ ] Release process documentation (CI/CD pipeline) - 0.5 days +- [ ] Support channels guide (where to get help) - 0.5 days +- **Total**: ~5 days documentation work (within 6-week timeline) + +**Path B, Phase 1 (Enhanced GitHub)**: +- [ ] README improvements (video embed, quick-start, decision tree) - 1 day +- [ ] GitHub Discussions welcome post and FAQ seeding - 0.5 days +- [ ] SHOWCASE.md creation (template + 3 examples) - 1 day +- [ ] Installation decision tree (for README) - 0.5 days +- **Total**: ~3 days documentation work (within 2-week timeline) + +**Path B, Phase 2 (If Triggered)**: +- Same documentation needs as Path A +- Can reuse Phase 1 work (installation decision tree, SHOWCASE examples) + +### Confidence Assessment + +#### Model Correctness Confidence + +**Overall Confidence**: **Medium-High (7/10)** + +**High Confidence Areas** (8-9/10): +- Thin wrapper architecture will minimize maintenance burden (proven pattern from Skills implementation) +- Test suite will improve quality and catch regressions (industry standard practice) +- Enhanced GitHub presence will improve onboarding (validated by user feedback on documentation gaps) +- Progressive disclosure (ADR-005) provides competitive advantage for marketplace semantic search + +**Medium Confidence Areas** (6-7/10): +- Marketplace will become primary discovery channel for Claude users (assumption, not validated) +- Marketplace adoption will justify fourth channel maintenance burden (depends on platform maturity and user behavior) +- 6-week preparation timeline is sufficient for marketplace-ready quality (based on estimates, not experience) +- Phase 1 metrics (clone rate, user requests) will accurately predict marketplace demand (assumption about signal correlation) + +**Lower Confidence Areas** (4-5/10): +- First-mover advantage will persist as marketplace matures (depends on competitive landscape and platform evolution) +- Solo maintainer can sustainably support four channels even with automation (capacity constraint) +- Claude marketplace will become dominant enough to justify investment (platform adoption risk) + +**What Could Make Tests Pass While Model Is Wrong?** + +**Scenario 1**: Tests verify thin wrapper delegates to MCP core correctly, but marketplace users encounter issues that don't affect other channels +- **Example**: Marketplace-specific permission model, version conflicts, platform-specific bugs +- **Mitigation**: Beta phase with real marketplace users before stable promotion + +**Scenario 2**: Performance benchmarks show acceptable metrics in test projects, but real user projects hit scaling issues +- **Example**: Large monorepos (1000s of files), complex .architecture configurations, concurrent operations +- **Mitigation**: Beta testing with diverse project types and sizes + +**Scenario 3**: Security audit finds no issues in current code, but marketplace environment exposes new attack vectors +- **Example**: Marketplace-specific permissions, interaction with other plugins, platform security model +- **Mitigation**: Marketplace security review process, file system isolation tests + +**Scenario 4**: Phase 1 metrics show strong GitHub engagement, but marketplace users have different needs/expectations +- **Example**: Marketplace users expect guided tutorials, in-app UI, different UX patterns than GitHub/npm users +- **Mitigation**: Phase 2 user research before implementation, don't assume channel equivalence + +#### Assumptions + +**Critical Assumptions** (High Impact if Wrong): + +1. **Assumption**: Marketplace will provide significant discoverability improvement over GitHub/npm + - **Validation**: Medium - No data on marketplace reach, assuming based on platform prominence + - **Impact if Wrong**: Marketplace investment doesn't deliver ROI, fourth channel maintenance burden without benefit + - **Test**: Phase 1 establishes baseline, Phase 2 measures marketplace contribution + +2. **Assumption**: Thin wrapper architecture (95% code sharing) adequately minimizes maintenance burden + - **Validation**: High - Proven pattern from Skills implementation shows viability + - **Impact if Wrong**: Fourth channel creates unsustainable maintenance load even with automation + - **Test**: Beta phase reveals actual maintenance burden before stable commitment + +3. **Assumption**: Solo maintainer capacity can sustain four channels with automation and thin wrapper + - **Validation**: Low - No experience managing four channels yet + - **Impact if Wrong**: Maintainer burnout, project stagnation, quality degradation across all channels + - **Test**: Monitor time spent on support/maintenance during beta phase + +**Moderate Assumptions** (Medium Impact if Wrong): + +4. **Assumption**: 6-week preparation timeline produces marketplace-ready quality + - **Validation**: Medium - Based on estimates, not prior marketplace submission experience + - **Impact if Wrong**: Rushed preparation leads to marketplace rejection or poor launch ratings + - **Test**: Beta submission reveals preparation adequacy before stable + +5. **Assumption**: Marketplace users have similar needs/expectations as GitHub/npm users (feature parity sufficient) + - **Validation**: Low - No data on marketplace user preferences yet + - **Impact if Wrong**: Marketplace users dissatisfied with experience, poor ratings, requires rework + - **Test**: Beta phase user feedback reveals marketplace-specific needs + +6. **Assumption**: Phase 1 metrics (GitHub clone rate, user requests) accurately predict marketplace demand + - **Validation**: Low - Correlation between GitHub and marketplace adoption is assumed + - **Impact if Wrong**: Phase 1 shows weak signals, defer Phase 2, miss marketplace opportunity + - **Test**: Cannot fully validate without actually launching marketplace (chicken-and-egg problem) + +**Lower Assumptions** (Lower Impact if Wrong): + +7. **Assumption**: Claude marketplace will mature into dominant discovery channel for plugins + - **Validation**: Low - Marketplace is emerging, adoption trajectory uncertain + - **Impact if Wrong**: Marketplace never achieves critical mass, but framework still benefits from quality improvements + - **Test**: Monitor marketplace growth metrics quarterly + +8. **Assumption**: No direct competitors will claim marketplace positioning in next 3-6 months + - **Validation**: Low - Competitive landscape can change rapidly + - **Impact if Wrong**: Lose first-mover advantage, but framework quality still valuable + - **Test**: Monthly competitive research (marketplace plugin search) + +#### Uncertainty Areas + +**Technical Uncertainties**: +- Marketplace submission requirements and review process (unknown until researched) +- Marketplace-specific technical constraints (permissions, APIs, limitations) +- Performance at scale with real user projects (not benchmarked yet) +- Thin wrapper edge cases (marketplace-specific issues not visible in other channels) + +**Market Uncertainties**: +- Marketplace adoption trajectory (will it become primary discovery channel?) +- User preferences between channels (why choose marketplace vs. npm vs. Skills?) +- Competitive landscape evolution (who else is building architecture tools?) +- Platform risk (marketplace policies, curation criteria, platform changes) + +**Resource Uncertainties**: +- Solo maintainer capacity sustainability (can four channels be maintained long-term?) +- Automation effectiveness (will CI/CD reduce coordination burden enough?) +- Community contribution potential (will users contribute to SHOWCASE, Discussions?) +- Time-to-marketplace-ready (are 6-week estimates accurate?) + +#### Validation Approach + +**Phase 1 Validation** (Path B): +1. **Implement GitHub enhancements** (2 weeks) +2. **Establish baseline metrics** (Week 1): GitHub clone rate, installation method preferences, support question frequency +3. **Monitor monthly** (Month 1-3): Track metrics, count marketplace requests, note user feedback themes +4. **Evaluate at Month 3**: Do metrics justify Phase 2? (10+ requests OR clone rate plateau OR clear demand signals) +5. **Decision point**: Proceed to Phase 2 or continue enhancing GitHub presence + +**Preparation Validation** (Path A or Path B Phase 2): +1. **Test suite validation** (Week 2): Verify 80%+ coverage, all operations tested, CI passing +2. **Security validation** (Week 3): npm audit clean, security policy documented, isolation tests passing +3. **Performance validation** (Week 4): Baselines meet targets (startup <500ms, setup <10s, memory <50MB) +4. **UX validation** (Week 5): User testing (3-5 unfamiliar users) reveals no blocking issues + +**Beta Validation** (Week 6): +1. **Submit beta** to marketplace, respond to review feedback +2. **Recruit beta testers** (10-20 users), gather feedback through surveys and interviews +3. **Monitor metrics**: Installation success rate, error frequency, support question volume +4. **Iterate** based on feedback +5. **Decision gate**: Proceed to stable only if 4+ star average rating, no blocking issues + +**Post-Launch Validation** (Month 3+): +1. **Track success metrics**: Marketplace installs, ratings, user distribution across channels +2. **Monitor maintenance burden**: Time spent on marketplace-specific support, release coordination +3. **Evaluate ROI at Month 6**: Does marketplace justify fourth channel? (>20% users + manageable burden) +4. **Decision gate**: Continue, optimize, or deprecate based on evidence + +#### Edge Cases + +**Edge Cases Not Captured by Testing**: + +1. **Large Monorepo Performance**: + - **Description**: Framework setup in repository with 10,000+ files, multiple .architecture directories, complex configurations + - **Why Missed**: Test projects typically small (100s of files), performance tests use reference project size + - **Impact**: Poor marketplace experience for enterprise users, slow operations, timeouts + - **Mitigation**: Document known limitations, add configurable timeouts, implement sample-based analysis for large projects + +2. **Concurrent Multi-User Operations**: + - **Description**: Multiple developers in same repository running architecture operations simultaneously + - **Why Missed**: Tests assume single-user usage, no concurrency testing + - **Impact**: File locking issues, race conditions, corrupted YAML + - **Mitigation**: Document single-user-at-a-time limitation, add file locking if becomes common pain point + +3. **Marketplace-Specific Permission Models**: + - **Description**: Claude marketplace may have different permission requirements or file system access constraints + - **Why Missed**: Tests run in standard Node.js environment, marketplace environment unknown until submission + - **Impact**: Submission rejection or runtime failures in marketplace but not other channels + - **Mitigation**: Beta phase reveals environment-specific issues before stable + +4. **Plugin Interaction Edge Cases**: + - **Description**: Framework interacting with other Claude marketplace plugins, potential conflicts or unexpected behaviors + - **Why Missed**: Tests assume isolated environment, no other plugins present + - **Impact**: Mysterious bugs that only manifest when specific plugin combinations installed + - **Mitigation**: Document known incompatibilities as discovered, isolate file operations to .architecture/ namespace + +5. **Version Drift During Transition**: + - **Description**: User has v1.3.0 via MCP, marketplace releases v1.4.0, user confused by feature availability differences + - **Why Missed**: Tests verify single channel, not cross-channel user experience + - **Impact**: Support burden, user confusion about feature availability + - **Mitigation**: Prominent version synchronization messaging, automated release pipeline enforces parity + +6. **Internationalization Issues**: + - **Description**: Framework assumes English, but marketplace may have international users with different locales, file systems (non-ASCII paths) + - **Why Missed**: Tests use English and standard ASCII paths + - **Impact**: File operations fail for users with non-ASCII home directories, error messages unclear for non-English users + - **Mitigation**: Document English-only limitation currently, prioritize i18n if marketplace shows international adoption + +## Implementation + +### Overview + +Implementation follows the revised Path A approach based on research findings showing distributed marketplace model. Original 6-10 week timeline reduced to 2-3 weeks by eliminating submission approval processes and mandatory pre-launch quality gates. + +### Path A: Immediate Marketplace Creation (2-3 Weeks, Revised) + +**Week 1: Plugin Manifest & Configuration (5-8 hours total)** + +**Day 1: Create Plugin Structure (2-3 hours)** +- Create `.claude-plugin/` directory +- Write `plugin.json` manifest: + - Required fields: name, version, description + - Optional fields: author, homepage, repository, license, keywords + - Component paths: mcpServers reference +- Write `marketplace.json` catalog: + - Marketplace metadata: name, owner + - Plugin entry with source path +- Create `.mcp.json` configuration: + - Delegate to npm package via npx + - Configure environment variables + +**Day 2: Local Testing & Validation (2-3 hours)** +- Test locally: `claude --plugin-dir ./` +- Validate manifests: `claude plugin validate .` +- Verify MCP server starts correctly +- Test all framework operations (setup, ADR, reviews, status, pragmatic mode) +- Fix any issues discovered + +**Day 3: Documentation Review (1-2 hours)** +- Review current documentation for accuracy +- Plan README updates and installation guide + +**Week 2: Documentation & Demo Materials (8-12 hours total)** + +**Days 1-2: README Updates (4-6 hours)** +- Add "Install as Claude Code Plugin" section to README +- Installation instructions: + ```bash + /plugin marketplace add anthropics/ai-software-architect + /plugin install architect-tools@ai-software-architect + ``` +- Create installation decision tree (when to use Plugin vs. MCP vs. Skills vs. Clone) +- Add plugin badge/button +- Update existing documentation references + +**Days 3-4: Demo Video & Installation Guide (4-6 hours)** +- Record demo video (5-10 minutes): + - Installing the plugin + - Running setup + - Creating an ADR + - Starting an architecture review +- Create detailed installation guide with screenshots +- Embed video in README and documentation site + +**Day 5: SEO & Discovery Optimization (1-2 hours)** +- Update repository topics: `claude-code`, `claude-plugin`, `architecture`, `adr`, `documentation` +- Update repository description +- Optimize README for searchability: "claude code architecture plugin" + +**Week 3: Launch & Community Engagement (4-6 hours total)** + +**Day 1: Commit & Push (1 hour)** +- Commit all plugin files to repository +- Push to GitHub +- Verify marketplace.json is accessible +- Test installation from published repository + +**Day 2: Announcement (2-3 hours)** +- GitHub Discussions: "Now available as Claude Code plugin" +- Update project documentation site +- Social media announcement (if applicable) +- Community engagement (Reddit, Discord, etc.) + +**Days 3-5: Monitor & Respond (1-2 hours)** +- Monitor GitHub Discussions for questions +- Respond to installation issues +- Gather initial feedback +- Track metrics: clone rate, discussions activity, reported issues + +**Total Timeline**: 2-3 weeks from decision to marketplace availability + +**Post-Launch (Ongoing)**: +- Monitor adoption metrics (installations via clone rate, GitHub Discussions activity) +- Respond to user feedback and issues +- Iterate on documentation based on common questions +- Consider quality improvements based on validated usage patterns: + - Test suite (if regression issues emerge) + - Performance optimization (if performance complaints arise) + - Error message improvements (if users report confusion) + - Security formalization (if enterprise adoption increases) + - Release automation (if multi-channel coordination becomes burden) + +**Quality Improvements (Deferred, Iterative)**: + +The original 6-week preparation phase included quality improvements that remain valuable but are no longer prerequisites for launch in the distributed marketplace model. These can be implemented iteratively based on validated need: + +1. **Test Suite** (5-7 days, if needed): + - Implement if regression bugs become frequent + - Target 80%+ coverage of core MCP operations + - Integrate into CI for ongoing quality + +2. **Code Modularization** (3-5 days, if needed): + - Extract mcp/index.js (1,823 lines) to focused modules + - Implement if codebase navigation becomes problem + - Benefits all channels, not just plugin + +3. **Security Audit** (1-2 days, if needed): + - Formalize security practices + - Document in SECURITY.md + - Implement if enterprise adoption requires it + +4. **Performance Optimization** (3-4 days, if needed): + - Benchmark and optimize if performance complaints arise + - Config caching, template pre-loading + - Progress indicators for long operations + +5. **Release Automation** (3-4 days, if needed): + - CI/CD pipeline for multi-channel releases + - Implement if manual coordination becomes unsustainable + - Version synchronization automation + +These improvements transition from "required before launch" to "valuable when validated by actual usage patterns." + +### Thin Wrapper Architecture (If Marketplace Pursued) + +**Package Structure**: +``` +@ai-software-architect/marketplace (thin wrapper) +├── package.json (marketplace metadata + ai-software-architect dependency) +├── index.js (~50 lines: import MCP core, export marketplace adapter) +├── README.md (marketplace-specific installation guide) +└── assets/ + ├── icon.png + ├── screenshot1.png + └── screenshot2.png + +ai-software-architect (MCP core, existing package) +├── mcp/ +│ ├── index.js (main export, delegates to tools/) +│ ├── tools/ +│ │ ├── setup.js +│ │ ├── adr.js +│ │ ├── review.js +│ │ ├── pragmatic.js +│ │ ├── status.js +│ │ └── implementation.js +│ ├── tests/ (integration tests) +│ └── package.json +└── .architecture/ (framework templates and config) +``` + +**Code Sharing Visualization**: +``` +┌─────────────────────────────────────────────────┐ +│ Claude Marketplace Plugin │ +│ (~50 lines wrapper code) │ +│ - Marketplace metadata │ +│ - Adapter layer (if needed) │ +└────────────────┬────────────────────────────────┘ + │ 95% delegation + ↓ +┌─────────────────────────────────────────────────┐ +│ MCP Core Package (ai-software-architect) │ +│ (~2000 lines core functionality) │ +│ - All tool implementations │ +│ - Configuration handling │ +│ - Template rendering │ +│ - YAML parsing │ +└─────────────────────────────────────────────────┘ +``` + +**Version Synchronization**: +- Single semver version number shared across all channels (e.g., v1.4.0) +- Git tag triggers automated workflow: + 1. Run tests (all must pass) + 2. Publish npm package (ai-software-architect@1.4.0) + 3. Update Skills bundle (if installed, prompt upgrade) + 4. Trigger marketplace update (@ai-software-architect/marketplace@1.4.0) + 5. Generate changelog (GitHub Releases) +- Prevents version drift, ensures feature parity + +**Platform-Specific Enhancements** (Future, Optional): +- Phase 1 (MVP): Feature parity, thin wrapper only +- Phase 2 (Validated): Marketplace-specific features if usage data justifies + - Guided tutorials (if onboarding drop-off high) + - In-app analytics dashboard (if usage metrics valuable) + - Visual member customization (if users request) + - Ratings integration (display framework's own architecture reviews) + +### Release Automation Details + +**CI/CD Pipeline** (GitHub Actions): +```yaml +# .github/workflows/release.yml +name: Multi-Channel Release + +on: + push: + tags: + - 'v*.*.*' # Trigger on semver tags (e.g., v1.4.0) + +jobs: + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions/setup-node@v3 + with: + node-version: '18' + - run: npm ci + - run: npm test # All tests must pass + + publish-npm: + needs: test + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions/setup-node@v3 + with: + node-version: '18' + registry-url: 'https://registry.npmjs.org' + - run: npm ci + - run: npm publish + env: + NODE_AUTH_TOKEN: ${{secrets.NPM_TOKEN}} + + update-marketplace: + needs: publish-npm + runs-on: ubuntu-latest + steps: + # Marketplace-specific update process + # (Details depend on Claude marketplace API/process) + - run: echo "Trigger marketplace update to ${{ github.ref_name }}" + + generate-changelog: + needs: [publish-npm, update-marketplace] + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + with: + fetch-depth: 0 # Full history for changelog + - uses: release-drafter/release-drafter@v5 + with: + version: ${{ github.ref_name }} + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} +``` + +**Manual Release Process** (Fallback): +1. Update version in mcp/package.json +2. Commit: "chore: release v1.4.0" +3. Create git tag: `git tag v1.4.0` +4. Push with tags: `git push origin main --tags` +5. CI/CD pipeline handles the rest + +## Alternatives Considered + +### Alternative 1: Immediate Marketplace Submission Without Preparation + +**Description**: Submit to marketplace immediately using current codebase (v1.3.0 as-is) without 6-week preparation phase. + +**Approach**: +- Create marketplace listing with current MCP server +- Minimal metadata and description +- No additional testing, security audit, or optimization +- Submit and iterate based on marketplace feedback + +**Pros**: +* **Fastest Time to Market**: 1-2 weeks vs. 6-10 weeks for Path A or Path B +* **Validates Marketplace Opportunity Early**: Discovers if marketplace drives adoption without preparation investment +* **Lower Upfront Investment**: No 6-week preparation effort, minimal sunk cost if marketplace doesn't work out +* **Real Feedback Quickly**: Marketplace users provide feedback on actual pain points vs. anticipated issues + +**Cons**: +* **High Rejection Risk**: Marketplace may require tests, security audit, performance benchmarks before approval +* **Reputation Damage**: Poor ratings due to inadequate preparation are public and persistent +* **Quality Concerns**: No test suite means higher bug risk, no security audit raises trust issues, no performance benchmarks means poor experience possible +* **Difficult Recovery**: Bad first impression is hard to fix; users may not give second chance after poor experience +* **Maintainer Stress**: Issues discovered post-launch create firefighting and reactive work +* **Architectural Debt**: Skipping modularization makes future improvements harder + +**Rejection Rationale**: **Rejected - Too High Risk** + +The marketplace submission without preparation risks reputation damage that's difficult to recover from. Marketplace ratings are public and persistent; poor launch reception affects all channels, not just marketplace. The 6-week preparation phase addresses real quality gaps (no tests, unaudited security, no performance baselines) that could lead to marketplace rejection or poor user experience. While faster, this approach optimizes for speed at the expense of quality, contradicting the framework's positioning as a tool for thoughtful architectural decision-making. The preparation work (tests, security, performance) benefits all users regardless of marketplace outcome, making the investment worthwhile. + +### Alternative 2: No Marketplace Plugin (Status Quo) + +**Description**: Continue with current three-channel distribution strategy (Claude Skills, MCP npm package, Traditional clone) without adding marketplace presence. + +**Approach**: +- Focus on enhancing existing channels +- Improve GitHub presence (README, Discussions, SHOWCASE) +- Optimize Skills and MCP packages +- Rely on organic discovery through GitHub, npm, social media + +**Pros**: +* **Zero New Maintenance Burden**: Avoids fourth channel support obligations +* **Proven Channels**: Existing distribution working well, framework growing organically +* **Solo Maintainer Sustainability**: Three channels already at capacity limit; adding fourth risks burnout +* **Investment in Core**: Time spent on features and improvements vs. distribution infrastructure +* **Flexibility**: Can reconsider marketplace at any time based on demand signals +* **Risk Avoidance**: No marketplace rejection risk, no reputation concerns, no preparation effort required + +**Cons**: +* **Limited Discoverability**: Claude-native users may not discover framework through GitHub/npm +* **Competitive Risk**: Competitors may claim marketplace positioning first, establishing mindshare +* **Missed Opportunity**: Marketplace could provide significant user growth if it becomes dominant discovery channel +* **No Auto-Updates**: Users on npm or Skills require manual update checks +* **No Marketplace Benefits**: Miss ratings/reviews social proof, curation trust signals, marketplace search optimization + +**Rejection Rationale**: **Partially Rejected - Path B Phase 1 Delivers Value First** + +Status quo misses the legitimate opportunity for improved discoverability that marketplace represents. However, this alternative correctly identifies sustainability concerns for solo maintainer. The phased approach (Path B) incorporates the best of this alternative: Phase 1 enhances existing channels (similar to this alternative) while preserving the option for Phase 2 marketplace (addresses discoverability gap). This alternative is too conservative if marketplace could significantly expand user base, but too risky if it immediately adds fourth channel burden. Path B provides the middle ground: Enhance what exists, validate demand, then conditionally pursue marketplace. + +### Alternative 3: Marketplace-Only Distribution (Sunset Other Channels) + +**Description**: Consolidate to marketplace as single distribution channel, deprecate Claude Skills, MCP npm package, and Traditional clone over 6-12 month transition. + +**Approach**: +- Announce marketplace as primary/recommended installation method +- Deprecate other channels with 6-12 month timeline +- Migrate existing users to marketplace +- Focus all support and development on marketplace experience + +**Pros**: +* **Single Channel Simplicity**: Eliminates multi-channel maintenance burden completely +* **Focused Support**: All users on same distribution, easier to support and troubleshoot +* **Marketplace Optimization**: Can build marketplace-specific features without cross-channel parity concerns +* **Resource Efficiency**: Solo maintainer manages one channel, not four +* **Clear Messaging**: Users know exactly how to install (marketplace only) + +**Cons**: +* **User Disruption**: Forces migration on users happy with current channels (Skills, MCP, Traditional) +* **Platform Lock-In**: Fully dependent on Claude marketplace for distribution; platform risk +* **Reduced Flexibility**: Users can't choose installation method based on their preferences/constraints +* **Accessibility Loss**: Some users prefer npm (CI/CD integration), git clone (offline use), or Skills (programmatic automation) +* **Reversibility**: Hard to re-add channels after deprecation; significant trust damage +* **Marketplace Dependence**: If marketplace fails or changes policies, framework loses all distribution + +**Rejection Rationale**: **Strongly Rejected - Unnecessary Lock-In** + +Marketplace-only distribution creates unacceptable platform risk and user disruption without proportional benefit. Current multi-channel strategy respects user preferences and provides redundancy against platform changes. The thin wrapper architecture (95% code sharing) already minimizes maintenance burden of multiple channels. Users genuinely prefer different installation methods for valid reasons: npm enables CI/CD integration, Skills enable programmatic automation, Traditional enables offline use and version control. Forcing migration would alienate existing user base to solve a maintainer capacity problem that thin wrapper + automation already address. This alternative optimizes for maintainer convenience at the expense of user agency and platform resilience. + +### Alternative 4: Rich Marketplace-Native Plugin (Not Thin Wrapper) + +**Description**: Build marketplace plugin as standalone package with marketplace-optimized features and UX, separate from MCP npm package. + +**Approach**: +- Create @ai-software-architect/marketplace as full-featured package +- Implement marketplace-specific features from Day 1: + - Guided tutorials and onboarding flows + - In-app analytics dashboard + - Visual member customization UI + - Interactive setup wizard + - Ratings integration +- Separate codebase from MCP package (10-20% code sharing instead of 95%) + +**Pros**: +* **Optimized Experience**: Marketplace plugin feels native to platform, leverages all marketplace capabilities +* **Competitive Differentiation**: Rich features distinguish from potential competitors who use thin wrapper +* **User Delight**: Polished, marketplace-specific UX creates "wow" experience +* **Platform-Native**: Embraces marketplace capabilities rather than treating as afterthought +* **Feature Innovation**: Freedom to experiment with marketplace-unique features without cross-channel constraints + +**Cons**: +* **Massive Maintenance Burden**: Two separate codebases (marketplace + MCP) with only 10-20% code sharing +* **Development Time**: 3-6 months to build rich marketplace-native features vs. 6 weeks for thin wrapper +* **Feature Drift**: Marketplace and MCP packages diverge over time; users confused about feature availability +* **Bug Duplication**: Bugs must be fixed in two places; regressions more likely +* **Unsustainable for Solo**: Solo maintainer cannot realistically maintain two divergent implementations +* **Speculative Features**: Building rich features before validating demand violates YAGNI principles +* **Testing Overhead**: Must test marketplace-specific features separately; double the test suite + +**Rejection Rationale**: **Strongly Rejected - Violates Pragmatic Principles** + +Rich marketplace-native plugin violates ADR-002 Pragmatic Guard Mode by building speculative features before validating demand. We don't yet know if marketplace users need guided tutorials, in-app analytics, or visual customization—these are assumptions. The thin wrapper approach (Alternative chosen in Decision) follows "core + 1 example + defer" pattern: Start with feature parity (MVP), gather usage data, add marketplace-specific features if validated demand justifies. Solo maintainer cannot sustainably maintain two divergent codebases. This alternative optimizes for theoretical user delight at the expense of maintainability, pragmatism, and sustainability. If marketplace succeeds and data shows specific features would improve adoption, progressive enrichment can add them without initial commitment. + +## Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +### Overall Decision Complexity Assessment + +The marketplace plugin decision addresses a real but non-critical opportunity: improved discoverability for Claude-native users. The framework is functioning well and growing organically without marketplace presence (necessity: moderate). Adding a fourth distribution channel introduces maintenance complexity, version synchronization overhead, and support burden (complexity: moderately high). The thin wrapper architecture and phased approach mitigate complexity, but the fundamental question remains: Is this solving a current, validated problem or speculating on future growth? + +Key observation: The architecture team's unanimous recommendation for the two-phase approach (Path B) reflects appropriate pragmatic thinking. Phase 1 (2 weeks) delivers immediate value while validating assumptions before Phase 2 (6 weeks) commitment. This aligns with YAGNI principles: Build what's needed when evidence supports it, not before. + +### Decision Challenge + +**Proposed Decision**: "Pursue Claude marketplace distribution to improve discoverability and establish early presence in emerging platform" + +#### Necessity Assessment: 6/10 + +**Current Need**: +- Framework is growing organically through GitHub (⬆ necessity: proven demand exists) +- Discovery problem is real for Claude-native users unfamiliar with GitHub/npm (⬆ necessity: validates gap) +- BUT: No explicit user requests for marketplace listing (⬇ necessity: unvalidated demand) +- BUT: Framework functioning well without marketplace (⬇ necessity: not solving acute pain) + +**Future Need**: +- Marketplace could become primary Claude plugin discovery channel (⬆ necessity IF marketplace matures) +- Early presence captures first-mover advantage (⬆ necessity: timing window exists) +- BUT: Marketplace adoption trajectory uncertain (⬇ necessity: platform risk) +- BUT: Competitors may not materialize (⬇ necessity: speculative competitive pressure) + +**Cost of Waiting**: +- Lose first-mover advantage if marketplace becomes dominant (moderate cost, conditional on platform success) +- Competitors may claim positioning (moderate cost, conditional on competitors appearing) +- Current growth continues via GitHub/npm (minimal cost: status quo working) +- Preparation work (tests, security, modularization) benefits all channels regardless (waiting doesn't prevent later marketplace submission) + +**Evidence of Need**: +- Architecture review: Thorough analysis, identifies real opportunity but not acute need +- User feedback: No explicit marketplace requests (0 recorded) +- Market data: No competitors visible (validates opportunity but doesn't validate necessity) +- Growth metrics: Organic growth without marketplace (reduces urgency) + +**Necessity Score**: **6/10** - Nice to have for accelerated growth and competitive positioning, but not must-have for function. Framework succeeds without marketplace; marketplace accelerates success but doesn't enable it. + +#### Complexity Assessment: 7/10 + +**Added Complexity**: +- Fourth distribution channel (⬆ complexity: multi-channel coordination) +- Marketplace-specific compliance and policies (⬆ complexity: platform obligations) +- Version synchronization across four channels (⬆ complexity: coordination overhead) +- Marketplace-specific support questions (⬆ complexity: increased support surface) +- Release automation pipeline (⬆ complexity: CI/CD setup and maintenance) +- BUT: Thin wrapper architecture (95% code sharing) significantly mitigates (⬇ complexity: minimal code duplication) +- BUT: Automated release pipeline reduces manual coordination (⬇ complexity: reduces ongoing burden) + +**Maintenance Burden**: +- 6-week preparation phase (⬆ complexity: significant upfront investment) +- Ongoing support for fourth channel (⬆ complexity: incremental support load) +- Marketplace policy monitoring and compliance (⬆ complexity: platform changes) +- BUT: Preparation work benefits all channels (⬇ complexity: improvements reusable) +- BUT: Solo maintainer already managing three channels successfully (⬇ complexity: pattern established) + +**Learning Curve**: +- Test framework setup (⬆ complexity: new tooling, ~1 day learning) +- CI/CD pipeline configuration (⬆ complexity: GitHub Actions, ~4-8 hours) +- Performance benchmarking (⬆ complexity: new metrics, ~4-8 hours) +- Marketplace submission process (⬆ complexity: platform-specific, ~2-4 hours) +- Total: ~3 days learning, manageable within 6-week timeline (⬇ complexity: contained learning investment) + +**Dependencies Introduced**: +- Marketplace platform dependency (⬆ complexity: platform risk, policy changes) +- CI/CD infrastructure dependency (⬆ complexity: GitHub Actions reliability) +- BUT: No new code dependencies (⬇ complexity: thin wrapper delegates to existing MCP) +- BUT: Automated release reduces human coordination dependency (⬇ complexity: less manual coordination) + +**Complexity Score**: **7/10** - Moderately high complexity from fourth channel and multi-channel coordination, but thin wrapper (95% code sharing) and automation significantly mitigate. Preparation work (tests, security, performance) adds one-time complexity that delivers ongoing value. + +#### Alternative Analysis + +**Are Simpler Alternatives Adequately Considered?** + +Yes, the ADR presents four alternatives: + +1. **Alternative 2 (Status Quo - No Marketplace)**: Simplest approach, zero new complexity + - Adequately considered: Pros/cons documented, identifies sustainability benefit + - Appropriately rejected: Misses legitimate discoverability opportunity + - **Pragmatic Assessment**: This is the true "do nothing" baseline; rejected for valid reasons (competitive positioning, discovery gap) + +2. **Path B, Phase 1 (Enhanced GitHub Before Marketplace)**: Simpler than immediate marketplace + - Well-designed: 2-week investment, immediate value, validates demand before Phase 2 + - Aligns with pragmatic principles: Quick wins first, defer marketplace until triggered + - **Pragmatic Assessment**: This IS the simpler alternative and is appropriately recommended by architecture team + +3. **Alternative 1 (Immediate Without Preparation)**: Simpler timeline but higher risk + - Appropriately rejected: Quality concerns and reputation risk justify 6-week preparation + - **Pragmatic Assessment**: Simplicity here is false economy; skipping preparation creates technical debt + +4. **Alternative 3 (Marketplace-Only)**: Simpler maintenance (one channel) but harmful user impact + - Appropriately rejected: User disruption and platform lock-in outweigh simplicity + - **Pragmatic Assessment**: Optimizes for wrong simplicity (maintainer) at expense of user agency + +**Is There a Missing Simpler Alternative?** + +**Simpler Alternative Proposal**: **Phase 1 Only (Enhanced GitHub) + No Marketplace Commitment** + +- Implement Path B, Phase 1 (2 weeks): README, Discussions, SHOWCASE, SEO +- Monitor metrics quarterly (not monthly) to reduce overhead +- No formal commitment to ever do Phase 2; marketplace remains option, not plan +- Revisit marketplace annually: "Is demand validated yet?" If yes, then consider + +**Rationale**: +- Delivers all Phase 1 value (better onboarding, community, examples) +- Validates whether discovery is actually the problem vs. documentation/positioning +- Zero marketplace complexity added +- Preserves marketplace option indefinitely without commitment +- Allows maintainer capacity to naturally increase (automation, co-maintainer) before considering fourth channel + +**Why This Is Simpler**: +- No Phase 2 trigger monitoring (eliminates metrics tracking overhead) +- No expectation management ("we'll do marketplace if...") removes decision burden +- Framework continues thriving on three channels; marketplace becomes "nice to have someday" not "let's validate to decide" + +#### Recommendation: ⚠️ Approve with Simplifications + +**Selected Path**: **Path B, Phase 1 with Simplified Phase 2 Triggers** + +**Justification**: + +**Why Approve**: +1. **Legitimate Opportunity**: Marketplace could improve discoverability; opportunity is real even if not urgent +2. **Phased Approach**: Path B Phase 1 delivers immediate value (2 weeks) while deferring marketplace decision +3. **Quality Improvements**: Preparation work (tests, security, performance) benefits all users regardless of marketplace +4. **Thin Wrapper Mitigation**: 95% code sharing minimizes fourth channel maintenance burden +5. **Alignment with Principles**: Phased approach respects "Change Impact Awareness" (ADR-010) by validating demand first + +**Why Simplifications**: +1. **Necessity is Moderate (6/10)**: Nice to have, not must-have; justifies cautious approach +2. **Complexity is Moderate-High (7/10)**: Fourth channel adds real burden for solo maintainer +3. **Ratio is 1.17 (below 1.5 threshold but close)**: Acceptable but warrants simplifications +4. **Unvalidated Demand**: No user requests for marketplace; speculative opportunity + +**Simplifications Recommended**: + +1. **Reduce Phase 2 Trigger Complexity**: + - **Current**: Monitor monthly, track multiple metrics (clone rate, requests, marketplace dominance, capacity) + - **Simplified**: Monitor quarterly, single primary trigger (15+ explicit user requests for marketplace) + - **Rationale**: Monthly tracking adds overhead; user requests are clearest signal of actual demand + +2. **Extend Phase 1 Timeline**: + - **Current**: 3-month evaluation period before Phase 2 decision + - **Simplified**: 6-month evaluation period (defer decision longer) + - **Rationale**: Gives Phase 1 improvements more time to impact metrics; reduces urgency on marketplace decision + +3. **Add "Do Nothing" Option to Phase 2**: + - **Current**: Phase 2 triggered if conditions met (binary: proceed or defer) + - **Simplified**: Phase 2 triggered only if conditions met AND maintainer capacity confirmed (add capacity gate) + - **Rationale**: Prevents proceeding to Phase 2 if solo maintainer overwhelmed even if demand validated + +4. **Defer Observability Implementation**: + - **Current**: Implement local telemetry during preparation phase (Month 2-3) + - **Simplified**: Defer observability until after stable marketplace launch (Month 6+) + - **Rationale**: Observability is nice-to-have for iteration; not necessary for launch; focus on core quality (tests, security, performance) + +5. **Reduce Marketplace-Specific Features Scope**: + - **Current**: Consider marketplace-specific features (guided tutorials, in-app analytics, visual customization) if usage data justifies + - **Simplified**: Explicitly commit to thin wrapper only; no marketplace-specific features for first 12 months + - **Rationale**: Feature parity is sufficient; marketplace-specific features are speculative; defer until proven necessary + +**Pragmatic Score**: +- **Necessity**: 6/10 (nice to have for growth, not critical for function) +- **Complexity**: 7/10 (fourth channel adds burden, mitigated by thin wrapper and automation) +- **Ratio**: 7/6 = **1.17** (below 1.5 threshold for balanced mode, acceptable) + +**Overall Assessment**: + +The marketplace decision represents reasonable, slightly aggressive growth strategy. Complexity-to-necessity ratio of 1.17 is below the 1.5 threshold for balanced mode, indicating acceptable engineering. However, the closeness to the threshold (1.17 vs. 1.5) and moderate necessity score (6/10) justify simplifications to reduce risk. + +**Key Insight**: Path B (phased approach) already embodies pragmatic thinking by deferring marketplace commitment until demand validated. The architecture team's unanimous recommendation for Path B demonstrates appropriate YAGNI application. The simplifications above further reduce complexity and risk while preserving the legitimate marketplace opportunity. + +**If Proceeding to Phase 2**: +- Complete 6-week preparation checklist without shortcuts (tests, security, performance) +- Use beta phase to validate quality before stable +- Monitor maintenance burden monthly after launch +- Be willing to deprecate marketplace if ROI doesn't justify burden (review at Month 12) + +**Final Recommendation**: +- ✅ **Approve Path B, Phase 1 immediately** (2 weeks, high value, zero downside) +- ⏸️ **Defer Phase 2 decision to Month 6** (simplified triggers: 15+ user requests + maintainer capacity confirmation) +- 📊 **Quarterly metric review** (not monthly) to reduce overhead +- 🎯 **Thin wrapper only** for first 12 months (no marketplace-specific features) +- ⚖️ **Capacity gate**: Proceed to Phase 2 only if maintainer capacity sustainable (automation complete, co-maintainer considered, support burden manageable) + +## Validation + +### Acceptance Criteria + +**For Either Path**: +- [ ] Strategic path decision documented in this ADR (Path A, Path B, or hybrid) +- [ ] Decision rationale clearly articulated +- [ ] Maintainer capacity confirmed (hours/week available for chosen path) +- [ ] Baseline metrics established (GitHub clone rate, support time/week, installation method distribution) + +**Path A or Path B Phase 2 Preparation**: +- [ ] Test suite implemented: 80%+ integration test coverage, all MCP tools tested (setup, ADR, reviews, status, pragmatic, implementation) +- [ ] Tests integrated into CI (GitHub Actions): All tests pass before any release +- [ ] MCP server modularized: mcp/index.js extracted to tools/ directory (<500 lines per module) +- [ ] All tests passing after modularization (no regressions) +- [ ] Security audit complete: npm audit clean (no high/critical CVEs), file operations reviewed, SECURITY.md documented +- [ ] File system isolation tests passing (validates .architecture/ namespace boundaries) +- [ ] Performance baselines established and documented: startup time <500ms, setup <10s with progress, memory <50MB +- [ ] Config caching implemented (in-memory cache with file watcher invalidation) +- [ ] Error messages rewritten (user-friendly language, actionable next steps, tested with unfamiliar users) +- [ ] Release automation pipeline implemented (GitHub Actions): git tag → npm publish → Skills update → marketplace sync +- [ ] Marketplace metadata created: semantic search-optimized description, icon (multiple sizes), 3+ screenshots, category chosen +- [ ] Installation decision tree created (flowchart + text) and added to README +- [ ] Feature parity documentation matrix completed (core vs. platform-enhanced features) +- [ ] User testing conducted: 3-5 unfamiliar users, screen-share sessions, issues identified and addressed +- [ ] Beta submission approved by marketplace (no blocking issues in review feedback) + +**Path B, Phase 1 (Enhanced GitHub)**: +- [ ] Demo video recorded and embedded prominently in README +- [ ] "Install with Claude" quick-start section added to README +- [ ] Installation decision tree created (flowchart + text) and added to README +- [ ] GitHub Discussions enabled with categories (FAQ, Use Cases, Show and Tell, Feature Requests) +- [ ] 10+ discussion topics seeded in GitHub Discussions +- [ ] SHOWCASE.md created with template and 3-5 example projects +- [ ] Repository description and topics updated for SEO (Claude, architecture, ADR, documentation) +- [ ] Baseline metrics documented (GitHub clone rate, installation method preferences, support question frequency) +- [ ] Metrics tracking sheet created (monthly updates for 6 months) + +**Path B, Phase 2 Triggers (for proceeding to marketplace)**: +- [ ] One or more triggers met: + - [ ] 15+ explicit user requests for marketplace listing (Pragmatic Enforcer simplification from 10+), OR + - [ ] GitHub clone rate plateaued after Phase 1 enhancements (<10% growth over 3 months), OR + - [ ] Marketplace becoming dominant Claude discovery channel (research indicates), OR + - [ ] Maintainer capacity increased (co-maintainer added, automation matured, support burden reduced) +- [ ] Maintainer capacity confirmed sustainable for fourth channel (Pragmatic Enforcer capacity gate) + +**Beta Phase Success** (if marketplace pursued): +- [ ] Beta submission approved within 2 weeks +- [ ] 50+ beta installs achieved +- [ ] 4+ star average rating maintained +- [ ] No blocking issues discovered during beta +- [ ] User feedback gathered and addressed (top 3 issues fixed) + +**Stable Marketplace Success** (if beta successful): +- [ ] Stable promotion approved +- [ ] 100+ installs within first month +- [ ] 4+ star average rating maintained after 100 installs +- [ ] 20%+ of new users attributed to marketplace (via user survey or install analytics) +- [ ] Support burden remains manageable (<2 hours/week on marketplace-specific issues) +- [ ] No major security or performance incidents + +### Testing Approach + +**Preparation Phase Testing** (Path A or Path B Phase 2): + +1. **Test Suite Validation**: + - Framework: Node.js built-in test runner or vitest + - Coverage: Integration tests for all MCP tools (9 tools total) + - Scope: Happy paths + error cases + edge cases (large projects, invalid configs, permission issues) + - CI Integration: GitHub Actions runs tests on every commit and before every release + - Success: 80%+ coverage, all tests passing, no regressions detected + +2. **Security Audit Validation**: + - Automated: Run `npm audit` weekly in CI, block releases with high/critical CVEs + - Manual: Review file operations scope (ensure .architecture/ namespace isolation), check dependency chain + - Isolation Tests: Test suite verifies operations don't escape .architecture/ directory + - Documentation: SECURITY.md documents data handling policy, file system scope, no external API calls + - Success: No high/critical vulnerabilities, isolation tests passing, policy documented + +3. **Performance Benchmark Validation**: + - Benchmarks: Startup time, setup duration, operation latency (ADR creation, review start), memory footprint + - Reference Projects: Small (10 files), medium (100 files), large (1000+ files) + - Targets: Startup <500ms, setup <10s with progress indicators, memory <50MB baseline + - Optimization: Config caching, template pre-loading, setup progress indicators + - Success: All targets met on reference projects, baselines documented + +4. **User Experience Validation**: + - Error Messages: Audit all error cases, rewrite with user-friendly language and actionable next steps + - User Testing: Recruit 3-5 users unfamiliar with framework, conduct screen-share installation and first-use sessions + - Observation: Note confusion points, abandoned flows, error encounters (don't intervene) + - Iteration: Address top 3 issues discovered across testers + - Success: User testing reveals no blocking onboarding issues, error messages validated as clear + +**Beta Phase Testing** (if marketplace pursued): + +1. **Real-World Validation**: + - Recruit 10-20 beta testers (announce in README, GitHub Discussions, social media) + - Monitor install success rate, error frequency, support question volume + - Gather feedback via surveys and interviews + - Track metrics: installs, ratings, review content analysis + - Success: 4+ star average rating, actionable feedback gathered, no blocking issues + +2. **Marketplace Environment Validation**: + - Verify plugin works in marketplace environment (may differ from local testing) + - Test marketplace-specific features (auto-updates, ratings integration) + - Check for marketplace-specific issues (permissions, interaction with other plugins) + - Success: No marketplace-specific bugs discovered, environment-compatible + +**Post-Launch Testing** (stable marketplace): + +1. **Ongoing Quality Monitoring**: + - CI/CD tests prevent regressions on every release + - Monitor error rates via user reports + - Track performance metrics if observability implemented + - Quarterly security audits (npm audit, dependency updates) + - Success: No major incidents, quality maintained over time + +2. **Multi-Channel Parity Testing**: + - Verify feature parity across all channels (Skills, MCP, Traditional, Marketplace) + - Test version synchronization (all channels updated simultaneously) + - User testing: Can users switch channels without losing functionality? + - Success: Core features identical across channels, no version drift, smooth channel switching + +## References + +* **Research Findings**: [Claude Marketplace Requirements Research](./../research/claude-marketplace-requirements.md) - Post-decision research revealing distributed marketplace model, significantly reducing implementation timeline from 6-10 weeks to 2-3 weeks +* **Architecture Review**: [Claude Marketplace Plugin Architecture Review](./../reviews/claude-marketplace-plugin.md) - Comprehensive architecture team evaluation with unanimous two-phase recommendation +* **Related ADRs**: + - [ADR-002: Pragmatic Guard Mode](./../decisions/adrs/ADR-002-pragmatic-guard-mode.md) - YAGNI principles and complexity analysis framework applied in this decision + - [ADR-005: LLM Instruction Capacity Constraints](./../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Progressive disclosure pattern provides marketplace competitive advantage for semantic search + - [ADR-010: Externalizing Senior Engineering Thinking](./../decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md) - Implementation Strategy framework guides this ADR's structure (blast radius, reversibility, sequencing, social cost, confidence) +* **Framework Artifacts**: + - [.architecture/principles.md](./../principles.md) - Architectural principles guiding this decision (Pragmatic Simplicity, Livable Code, Change Impact Awareness, Evolvability) + - [.architecture/members.yml](./../members.yml) - Architecture team member definitions (Systems Architect, Implementation Strategist, Pragmatic Enforcer, etc.) + - [.architecture/config.yml](./../config.yml) - Pragmatic mode configuration (balanced intensity, 1.5 ratio threshold) +* **Official Claude Code Documentation**: + - [Plugin Marketplaces Overview](https://code.claude.com/docs/en/plugin-marketplaces.md) - Understanding Claude marketplace ecosystem, discovery, and curation + - [Plugin Creation Guide](https://code.claude.com/docs/en/plugins.md) - How to build and structure Claude plugins + - [Plugins Reference](https://code.claude.com/docs/en/plugins-reference.md) - Technical reference for plugin APIs and capabilities + - [MCP Documentation](https://code.claude.com/docs/en/mcp.md) - Model Context Protocol integration, which provides the technical foundation for marketplace plugins + - [Skills Documentation](https://code.claude.com/docs/en/skills.md) - Claude Skills distribution channel (existing channel 1) + - [Settings Reference](https://code.claude.com/docs/en/settings-reference.md) - Claude Code configuration affecting plugin behavior +* **Technical Foundation**: + - Current MCP Server: `mcp/index.js` (1,823 lines, version 1.3.0) + - MCP SDK: `@modelcontextprotocol/sdk` 1.0.4 + - Framework version: 1.3.0 (production-ready) + +--- + +**Created**: 2026-01-21 +**Updated**: 2026-01-21 (post-decision research findings incorporated) +**Author**: Architecture Team (8 members: Systems Architect, Domain Expert, Security Specialist, Performance Specialist, Maintainability Expert, Implementation Strategist, AI Engineer, Pragmatic Enforcer) +**Next Steps**: +1. Create plugin manifests (.claude-plugin/plugin.json, .claude-plugin/marketplace.json, .mcp.json) +2. Test locally with `claude --plugin-dir ./` +3. Update README with plugin installation instructions +4. Commit and push to GitHub +5. Announce plugin availability + +**Review Cycle**: Monthly monitoring of adoption metrics (GitHub clone rate, Discussions activity, installation method distribution) diff --git a/.architecture/decisions/adrs/example-pragmatic-caching-layer.md b/.architecture/decisions/adrs/example-pragmatic-caching-layer.md new file mode 100644 index 0000000..07622b4 --- /dev/null +++ b/.architecture/decisions/adrs/example-pragmatic-caching-layer.md @@ -0,0 +1,379 @@ +# ADR-999: Implement Distributed Caching Layer for Product Catalog + +**Example ADR demonstrating Pragmatic Enforcer Analysis** + +--- + +## Status + +Draft → Modified after pragmatic analysis → Approved with simplifications + +## Context + +Our e-commerce platform currently serves the product catalog directly from PostgreSQL. As traffic has grown, we've noticed some database load during peak hours. Our architecture team has been discussing implementing a comprehensive caching strategy. + +**Current situation**: +- Product catalog has ~10,000 items +- Peak traffic: ~500 requests/second +- Database response time: 50-200ms (acceptable) +- 2 database replicas handle read load adequately +- No current performance complaints from users +- Product data changes ~100 times per day + +**Proposed solution** (original): +Implement a distributed caching layer with Redis Cluster to improve performance and prepare for future scale. + +## Decision Drivers + +* Database load during peak hours (currently ~60% of capacity) +* Anticipated growth in product catalog +* Best practices recommend caching for read-heavy workloads +* Improved response times would enhance user experience +* Preparing for Black Friday / holiday traffic spikes + +## Decision + +**Original Proposal**: Implement a comprehensive distributed caching layer using Redis Cluster + +**Architectural Components Affected:** +* Product service API layer +* Database access layer +* New: Redis Cluster (3+ nodes) +* New: Cache invalidation service +* New: Cache warming service +* Monitoring and observability systems + +**Interface Changes:** +* Product service methods will check cache before database +* New cache invalidation API endpoints +* New admin endpoints for cache management +* New metrics endpoints for cache performance + +**Implementation Details**: +1. Deploy Redis Cluster (3 primary + 3 replica nodes) +2. Implement cache-aside pattern in product service +3. Build cache invalidation system with pub/sub +4. Create cache warming jobs for popular products +5. Add cache health monitoring and alerting +6. Implement cache key versioning strategy +7. Add admin tools for cache inspection and clearing + +**Estimated effort**: 3-4 weeks +**Infrastructure cost**: +$800/month (Redis Cluster) +**Maintenance burden**: New system to monitor, update, and troubleshoot + +## Consequences + +### Positive + +* Reduced database load (estimated 70-80% reduction in read queries) +* Faster response times (estimated 10-30ms vs 50-200ms) +* Better prepared for traffic spikes +* Follows industry best practices +* Scalability headroom for future growth +* Improved system resilience (cache can serve stale data during DB issues) + +### Negative + +* Added system complexity (6 new Redis nodes) +* Cache invalidation complexity (consistency challenges) +* Additional infrastructure cost ($800/month) +* New failure modes (cache inconsistency, cluster split-brain) +* Team needs to learn Redis Cluster operations +* Debugging complexity (is issue in cache or database?) + +### Neutral + +* Need to monitor cache hit rates and effectiveness +* Cache warming strategy needs periodic review +* Cache key strategy needs documentation + +## Implementation + +**Phase 1: Foundation (Week 1-2)** +* Deploy Redis Cluster +* Implement basic cache-aside pattern +* Add monitoring and alerting + +**Phase 2: Advanced Features (Week 2-3)** +* Implement cache invalidation system +* Build cache warming jobs +* Add admin tooling + +**Phase 3: Optimization (Week 4)** +* Tune cache TTLs and eviction policies +* Optimize cache key strategy +* Performance testing and validation + +## Alternatives Considered + +### Alternative 1: In-Memory Application Cache + +Use application-level caching (e.g., in-memory HashMap or Caffeine cache) + +**Pros:** +* Simpler implementation +* No additional infrastructure +* Lower latency (no network hop) +* Easier debugging + +**Cons:** +* Cache not shared across service instances +* Memory pressure on application servers +* Less effective for distributed systems +* Limited scalability + +### Alternative 2: Database Query Optimization + +Optimize existing queries and add database indexes + +**Pros:** +* No new infrastructure +* Addresses root cause +* Lower complexity +* No cache invalidation concerns + +**Cons:** +* Limited improvement potential +* Doesn't reduce database load as effectively +* May not scale to future needs + +--- + +## Pragmatic Enforcer Analysis + +**Reviewer**: Alex Chen (Pragmatic Enforcer) +**Mode**: Balanced + +**Note**: *This section only appears when pragmatic_mode is enabled in `.architecture/config.yml`* + +**Overall Decision Complexity Assessment**: +This decision introduces significant complexity (distributed caching, cluster management, cache invalidation) to solve a problem that may not exist yet. Database is currently at 60% capacity with acceptable response times. This appears to be **anticipatory architecture** driven by "best practices" rather than concrete pain points. + +**Red flags**: +- No current performance issues reported by users +- Database has 40% headroom remaining +- Current response times (50-200ms) are acceptable for e-commerce +- Solution is driven by "anticipated growth" and "best practices" rather than actual problems +- Significant complexity added for speculative future needs + +**Decision Challenge**: + +**Proposed Decision**: "Implement a comprehensive distributed caching layer using Redis Cluster" + +**Necessity Assessment**: 4/10 +- **Current need**: **LOW (3/10)** - Database is at 60% capacity, response times are acceptable, no user complaints. We have 40% headroom before any intervention is needed. This is solving a problem we don't have yet. +- **Future need**: **MODERATE (5/10)** - Growth may eventually require caching, but timeline is speculative. Black Friday is 6 months away; we can implement before then if needed. +- **Cost of waiting**: **LOW (3/10)** - Database can scale vertically. Could add one more replica for $200/month if needed. Could implement caching in 2-3 weeks when/if metrics show actual need. No evidence of impending crisis. +- **Evidence of need**: **WEAK** - No performance complaints, metrics show adequate capacity, anticipating future problems without data. + +**Complexity Assessment**: 8/10 +- **Added complexity**: **HIGH (8/10)** - 6 new Redis nodes, cache invalidation system, cache warming jobs, pub/sub infrastructure, cluster management, versioning strategy. Introduces distributed systems challenges. +- **Maintenance burden**: **HIGH (8/10)** - New system to monitor, Redis Cluster operations, cache consistency debugging, cluster failover management, $800/month ongoing cost. +- **Learning curve**: **MODERATE (6/10)** - Team needs to learn Redis Cluster, cache invalidation patterns, distributed caching debugging. +- **Dependencies introduced**: **HIGH (8/10)** - New dependency on Redis Cluster, introduces cache consistency as a concern, creates new failure modes. + +**Alternative Analysis**: +The listed alternatives are presented as clearly inferior, but let's examine them: + +**Missing alternatives**: +1. ❌ **Do nothing** - Not listed, but database has headroom +2. ❌ **Vertical scaling** - Add one more DB replica if needed +3. ❌ **Simple in-memory cache** - Dismissed too quickly +4. ❌ **Connection pooling optimization** - Not considered +5. ❌ **Phased approach** - Start simple, scale as needed + +**Are the listed alternatives genuinely simpler?** +- **Alternative 1** (Application cache): Actually IS simpler, but dismissed for "not shared across instances" - but do we need that? +- **Alternative 2** (Query optimization): Dismissed for "may not scale to future needs" - but we're not at future yet! + +**Simpler Alternative Proposal**: + +**Phase 1 (Implement Now - 3 days, $0/month)**: +1. **Optimize what we have**: + - Review and optimize slow queries (likely easy wins) + - Add targeted database indexes based on actual query patterns + - Tune PostgreSQL connection pooling + - Add database query caching (PostgreSQL built-in) + +2. **Add simple application-level cache**: + - Use Caffeine cache (in-memory, TTL-based, per instance) + - Cache hot products (top 100-200 items) + - 5-minute TTL (simple invalidation) + - 2-3 days of implementation + +3. **Monitor with concrete triggers**: + - Alert if DB load >85% + - Alert if p95 response time >300ms + - Track user-reported performance issues + +**Phase 2 (If Triggered - when metrics exceed thresholds)**: +- If application cache insufficient → Add Redis single node (~$100/month) +- If single Redis insufficient → Upgrade to Redis Cluster +- Each step adds complexity only when proven necessary + +**Phase 3 (Black Friday Prep - 2 months before, if needed)**: +- Evaluate metrics from Phase 1/2 +- Implement additional caching if data shows need +- Load testing to validate capacity + +**Benefits of phased approach**: +- ✅ Solves current needs (database optimization + simple cache) +- ✅ 3 days vs 3-4 weeks (6-8x faster) +- ✅ $0 vs $800/month (save $4,800/year unless proven needed) +- ✅ Learn from real data before committing to complex solution +- ✅ Can still implement full solution if needed, with better requirements understanding +- ✅ Maintains simplicity unless complexity proves necessary + +**Recommendation**: ⚠️ **Approve with simplifications (Phase 1 only, defer Phase 2/3)** + +**Justification**: +We're proposing to add significant complexity (8/10) for a low necessity problem (4/10). The **complexity-to-necessity ratio is 2.0**, well above our target of <1.5 for balanced mode. + +**Key insights**: +1. **No current problem**: Database is at 60% capacity with acceptable response times +2. **Headroom exists**: Can handle growth for months without intervention +3. **Simpler solutions untried**: Haven't optimized queries or tried simple caching +4. **Speculative engineering**: Solving imagined future problems rather than current reality +5. **Premature optimization**: Classic case of optimizing before measuring +6. **Best practice trap**: "Everyone uses Redis" doesn't mean we need it now + +**This is YAGNI in action**: We might need distributed caching eventually, but we don't need it now. Let's solve today's problems with today's simplest solution, and scale up only when data proves it necessary. + +**If Deferring or Simplifying**: + +**Trigger conditions for Phase 2 (Redis single node)**: +- [ ] Database load sustained >85% for 24+ hours +- [ ] P95 response time sustained >300ms +- [ ] Application cache hit rate <70% +- [ ] Vertical scaling (more DB replicas) proves insufficient +- [ ] User complaints about product page performance + +**Trigger conditions for Phase 3 (Redis Cluster)**: +- [ ] Single Redis node is bottleneck (>10k ops/sec) +- [ ] Need for high availability caching proven +- [ ] Application cache + single Redis insufficient for load +- [ ] Evidence that cache invalidation complexity is manageable + +**Minimal viable alternative**: +- Query optimization + application-level cache (Caffeine) +- Estimated impact: 40-60% reduction in DB load, 20-40% faster response times +- Cost: ~3 days development, $0 infrastructure +- Can implement full solution later if metrics prove necessary + +**Migration path**: +1. Start with Caffeine cache (3 days) +2. If needed, add single Redis node (1 week, drop-in replacement for Caffeine) +3. If needed, upgrade to Redis Cluster (2 weeks, migration from single node) +4. Each step uses similar cache-aside pattern, low migration cost + +**Pragmatic Score**: +- **Necessity**: 4/10 +- **Complexity**: 8/10 +- **Ratio**: 8/4 = **2.0** ❌ *(Target: <1.5 for balanced mode)* + +**Overall Assessment**: +This decision represents **over-engineering for future possibilities** rather than appropriate engineering for current needs. The complexity-to-necessity ratio of 2.0 indicates we're adding twice as much complexity as the problem warrants. + +**Recommendation**: Implement Phase 1 (simple solution), defer Phase 2/3 until triggered by real metrics. This approach: +- ✅ Solves the actual current situation (optimization) +- ✅ Provides caching if needed (application cache) +- ✅ Avoids premature complexity +- ✅ Saves 3+ weeks of development +- ✅ Saves $800/month unless proven necessary +- ✅ Lets us make Phase 2/3 decision based on data, not speculation + +--- + +## Collaborative Discussion + +After Pragmatic Enforcer's analysis, the architecture team reconvened to discuss the findings. + +**Distributed Systems Architect** (original proposal): +"The pragmatic analysis makes valid points. We were indeed designing for anticipated scale rather than current need. However, implementing caching later will be more disruptive. Counter-proposal: What about Redis single node instead of Cluster, as a middle ground?" + +**Pragmatic Enforcer** (response): +"Still jumping past Phase 1. Why Redis at all before trying application cache + query optimization? Single Redis node is simpler than Cluster, but it's still premature if we haven't validated that application cache is insufficient. Let's measure first, then decide." + +**Performance Specialist**: +"Pragmatic Enforcer is right - we have no data showing application cache won't work. Our product catalog is only 10k items, probably fits in memory easily. Let's try the simple approach first." + +**Database Expert**: +"I can optimize our queries and add targeted indexes in 1-2 days. We're probably missing obvious wins there. +1 to Phase 1 approach." + +**Tech Lead**: +"Agreed. Let's implement Phase 1, set up monitoring with clear triggers for Phase 2. This gives us months to evaluate before committing to Redis infrastructure. If we need Redis for Black Friday, we'll have 4-5 months of real data to inform that decision." + +**Consensus**: Approve simplified approach (Phase 1), defer Redis decisions until triggered by metrics. + +--- + +## Validation + +**Acceptance Criteria (Phase 1 - Simplified Approach):** +- [ ] Database queries optimized (slow query log analyzed, indexes added) +- [ ] Application cache implemented using Caffeine +- [ ] Cache hit rate >60% for product catalog queries +- [ ] P95 response time <100ms (improvement from current 50-200ms) +- [ ] Database load reduced by >30% +- [ ] Monitoring dashboard shows cache metrics +- [ ] Alerts configured for trigger conditions (DB >85%, response time >300ms) +- [ ] Documentation for cache configuration and tuning + +**Testing Approach:** +* Load testing with realistic traffic patterns +* Measure cache hit rates under load +* Verify database load reduction +* Monitor response time improvements +* Test cache invalidation (TTL-based, simple) +* Chaos testing: cache disabled, verify graceful degradation + +**Success Metrics** (tracked for 4 weeks): +* Database load: Target <50% (down from 60%) +* P95 response time: Target <100ms (down from 200ms) +* Cache hit rate: Target >60% +* Zero user-reported performance issues + +**Review After 4 Weeks**: +* If metrics met: Phase 1 sufficient, defer Phase 2 indefinitely +* If metrics unmet: Evaluate whether issue is implementation or need for Phase 2 +* If trigger conditions met: Begin Phase 2 planning with real data + +## References + +* [Pragmatic Guard Mode Configuration](.architecture/config.yml) +* [Deferrals Tracking](.architecture/deferrals.md) +* Related ADRs: None yet (first ADR with pragmatic analysis) + +--- + +## Outcome (4 Weeks After Implementation) + +**Results from Phase 1**: +* ✅ Database load: **45%** (down from 60%, exceeded target) +* ✅ P95 response time: **60ms** (down from 200ms, exceeded target) +* ✅ Cache hit rate: **82%** (exceeded target of 60%) +* ✅ Zero performance complaints +* ✅ Infrastructure cost: **$0** additional +* ✅ Implementation time: **4 days** (vs 3-4 weeks planned for Redis Cluster) + +**Decision**: Phase 2 (Redis) indefinitely deferred. Phase 1 exceeded all targets. + +**Time saved**: ~3.5 weeks of development +**Cost saved**: $800/month = $9,600/year +**Complexity avoided**: 6 Redis nodes, cache invalidation system, cluster management + +**Pragmatic mode success**: This ADR demonstrates how pragmatic analysis prevented over-engineering, delivered better results faster, and saved significant time and money. + +--- + +**Example Note**: This example ADR demonstrates the complete flow: +1. Original proposal (comprehensive solution driven by best practices) +2. Pragmatic analysis (challenging necessity, assessing complexity) +3. Simplified alternative (phased approach, starting minimal) +4. Collaborative discussion (team working through the analysis) +5. Approved with simplifications (pragmatic recommendation accepted) +6. Clear triggers for deferred phases +7. Outcome validation (simplified approach succeeded) + +This pattern is applicable to many architectural decisions where teams are tempted to implement comprehensive solutions for anticipated rather than current needs. diff --git a/.architecture/decisions/exploration-pragmatic-guard-mode.md b/.architecture/decisions/exploration-pragmatic-guard-mode.md new file mode 100644 index 0000000..cc9edc2 --- /dev/null +++ b/.architecture/decisions/exploration-pragmatic-guard-mode.md @@ -0,0 +1,535 @@ +# Exploration: Pragmatic Guard Mode (YAGNI Enforcement) + +## Executive Summary + +This document explores introducing a new operational mode for the AI Software Architect framework that actively guards against over-engineering, unnecessary complexity, and the natural tendency of AI coding assistants to be overly generative. The "Pragmatic Guard Mode" would add a specialized architecture perspective that challenges recommendations, questions abstractions, and pushes for the simplest possible solutions. + +## Problem Statement + +### The Challenge of AI-Assisted Development + +AI coding assistants, while powerful, have a natural tendency toward: + +1. **Over-engineering**: Implementing comprehensive solutions when simple ones suffice +2. **Premature abstraction**: Creating flexible architectures for problems we don't yet have +3. **Best-practice overload**: Applying industry best practices even when they add unnecessary complexity +4. **Feature creep**: Suggesting enhancements and extensions beyond immediate requirements +5. **Speculative generality**: Building for imagined future needs rather than current requirements +6. **Gold plating**: Adding "nice to have" features that weren't requested + +### Current Framework Gaps + +While our framework includes: +- **Pragmatic Simplicity** principle (principles.md:161) +- Wisdom from Kent Beck: "Do The Simplest Thing That Could Possibly Work" (principles.md:25) +- Maintainability Expert role focused on simplification + +We lack: +- **Active enforcement** of simplicity during design discussions +- **Systematic pushback** against complexity +- **Question-first approach** to new features and abstractions +- **Explicit cost-benefit analysis** for architectural decisions + +## Proposed Solution: Pragmatic Guard Mode + +### Core Concept + +Introduce a new operational mode that adds a specialized "Pragmatic Enforcer" architect who: +- Actively challenges complexity +- Questions every abstraction +- Demands justification for features +- Proposes simpler alternatives +- Applies YAGNI (You Aren't Gonna Need It) principles rigorously + +### Key Components + +#### 1. New Architecture Member: The Pragmatic Enforcer + +```yaml +- id: pragmatic_enforcer + name: "Pragmatic Enforcer" + title: "YAGNI Guardian & Simplicity Advocate" + specialties: + - "YAGNI principles" + - "incremental design" + - "complexity analysis" + - "requirement validation" + - "minimum viable solutions" + disciplines: + - "scope management" + - "cost-benefit analysis" + - "technical debt prevention" + - "simplification strategies" + - "deferral decision-making" + skillsets: + - "identifying premature optimization" + - "challenging unnecessary abstractions" + - "proposing simpler alternatives" + - "calculating cost of waiting" + - "questioning best-practice applicability" + domains: + - "implementation simplicity" + - "requirement sufficiency" + - "appropriate complexity" + perspective: "Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem." +``` + +#### 2. Configuration Mechanism + +Create `.architecture/config.yml`: + +```yaml +# AI Software Architect Configuration + +# Pragmatic Guard Mode +pragmatic_mode: + enabled: true + intensity: balanced # strict | balanced | lenient + + # Control which review phases include the Pragmatic Enforcer + apply_to: + - individual_reviews: true + - collaborative_discussions: true + - implementation_planning: true + - adr_creation: true + + # Specific areas where strict best practices should be maintained + exemptions: + - security_critical: true # Don't compromise on security + - data_integrity: true # Don't compromise on data protection + - compliance_required: true # Don't compromise on compliance requirements + + # Thresholds for triggering pragmatic challenges + triggers: + new_abstraction_layer: true + new_dependency: true + new_pattern_introduction: true + scope_expansion: true + performance_optimization: true + +# Other configuration options... +``` + +#### 3. Operational Modes + +**Strict Mode**: +- Challenges aggressively +- Requires strong justification for any complexity +- Pushes for absolute minimal implementation +- Questions every "should" and "could" + +**Balanced Mode** (recommended): +- Challenges thoughtfully +- Accepts justified complexity +- Seeks middle ground between simplicity and best practices +- Questions "should" but accepts reasonable "must" + +**Lenient Mode**: +- Raises concerns without blocking +- Suggests simpler alternatives as options +- Focuses on major complexity additions +- Questions only significant departures from simplicity + +#### 4. Integration Points + +The Pragmatic Enforcer would participate in: + +**Architecture Reviews**: +- Reviews each member's recommendations +- Challenges complexity additions +- Proposes simpler alternatives +- Asks critical questions about necessity + +**Specific Architect Reviews**: +- Automatically included when pragmatic_mode is enabled +- Provides counterpoint to specialist recommendations +- Questions whether specialized best practices are needed + +**ADR Creation**: +- Reviews decision drivers for necessity +- Challenges alternatives that add complexity +- Questions whether the problem needs solving now + +**Implementation Planning**: +- Reviews proposed implementation steps +- Suggests deferring non-critical work +- Identifies unnecessary scaffolding + +### Behavioral Patterns + +#### Question Framework + +The Pragmatic Enforcer asks: + +1. **Necessity Questions**: + - "Do we need this right now?" + - "What breaks if we don't implement this?" + - "Is this solving a real problem or an imagined future problem?" + +2. **Simplicity Questions**: + - "What's the simplest thing that could work?" + - "Can we do this with less code/fewer files/fewer abstractions?" + - "Could we hard-code this for now?" + +3. **Cost Questions**: + - "What's the cost of implementing this now?" + - "What's the cost of waiting until we actually need it?" + - "Is the flexibility worth the complexity?" + +4. **Alternative Questions**: + - "What if we just...?" (proposes radically simpler alternative) + - "Could we use an existing tool instead of building this?" + - "What would this look like without the abstraction layer?" + +5. **Best Practice Questions**: + - "Does this best practice apply to our context?" + - "What problems does this pattern solve that we actually have?" + - "Is this over-engineering for our scale?" + +#### Response Patterns + +For each recommendation from other architects, the Pragmatic Enforcer provides: + +```markdown +### Pragmatic Enforcer Analysis + +**Recommendation**: [Original recommendation from other architect] + +**Necessity Assessment**: [0-10 score] +- Current need: [Why this is/isn't needed now] +- Future need: [Likelihood and timeframe] +- Cost of waiting: [What happens if we defer this] + +**Complexity Assessment**: [0-10 score] +- Added complexity: [What complexity does this introduce] +- Maintenance burden: [Ongoing cost] +- Learning curve: [Developer impact] + +**Simpler Alternative**: +[Concrete proposal for a simpler approach] + +**Recommendation**: +- [ ] Implement now (if necessity > 7 and complexity is justified) +- [ ] Implement simplified version (if necessity > 5) +- [ ] Defer until needed (if necessity < 5) +- [ ] Skip entirely (if cost > benefit) + +**Justification**: +[Clear reasoning for the recommendation] +``` + +### Example Scenarios + +#### Scenario 1: Overly Abstract Service Layer + +**Security Specialist suggests**: "Implement a comprehensive authentication middleware with support for OAuth2, SAML, and JWT, with pluggable providers." + +**Pragmatic Enforcer challenges**: +``` +Necessity Assessment: 3/10 +- Current need: We only use JWT for API authentication +- Future need: No requirements for OAuth2 or SAML +- Cost of waiting: Zero - we can add these if/when needed + +Complexity Assessment: 8/10 +- Added complexity: Multiple abstraction layers, provider interfaces +- Maintenance burden: Test and maintain unused code paths +- Learning curve: New developers must understand full abstraction + +Simpler Alternative: +Implement JWT-only authentication directly. If we need other +methods later, we can extract an abstraction THEN, informed by +real requirements rather than speculation. + +Recommendation: ☑ Implement simplified version + +Justification: +We have exactly one authentication method. Adding abstraction +for unused features is premature optimization. The cost of +refactoring later is much lower than maintaining complexity now. +``` + +#### Scenario 2: Comprehensive Error Handling + +**Maintainability Expert suggests**: "Implement a hierarchical error handling system with custom error types for each module, error codes, structured logging, and i18n support." + +**Pragmatic Enforcer challenges**: +``` +Necessity Assessment: 5/10 +- Current need: Need to handle errors, but requirements are basic +- Future need: May need structured errors for API responses +- Cost of waiting: Can catch and wrap errors later if needed + +Complexity Assessment: 7/10 +- Added complexity: Error hierarchies, error code management +- Maintenance burden: Maintaining error catalog, translations +- Learning curve: Team must learn error code system + +Simpler Alternative: +Start with standard error throws with descriptive messages. +Add structure only when we have concrete requirements +(e.g., when building the API layer). + +Recommendation: ☑ Defer until needed + +Justification: +We don't yet know what error information we'll need to expose. +Building this infrastructure upfront risks solving the wrong +problem. Standard errors are sufficient for current needs. +``` + +#### Scenario 3: Performance Optimization + +**Performance Specialist suggests**: "Implement caching layer with Redis, add database query optimization, introduce lazy loading, and set up performance monitoring." + +**Pragmatic Enforcer challenges**: +``` +Necessity Assessment: 2/10 +- Current need: No performance problems reported +- Future need: May need optimization if traffic grows +- Cost of waiting: Zero until we have performance issues + +Complexity Assessment: 9/10 +- Added complexity: Cache invalidation logic, monitoring setup +- Maintenance burden: Debugging cache issues, monitoring overhead +- Learning curve: Understanding caching strategies + +Simpler Alternative: +Measure first. Add logging to identify slow operations. +Optimize specific bottlenecks when they appear, using the +simplest solution for each case. + +Recommendation: ☑ Skip entirely (for now) + +Justification: +"Premature optimization is the root of all evil." We have no +evidence of performance problems. Adding caching introduces +complexity (especially invalidation) that we don't need. +When/if we have performance issues, we can profile and +optimize specific bottlenecks with targeted solutions. +``` + +#### Scenario 4: Testing Infrastructure + +**Domain Expert suggests**: "Set up comprehensive integration tests, E2E tests, contract tests, and property-based tests for all business logic." + +**Pragmatic Enforcer challenges**: +``` +Necessity Assessment: 6/10 +- Current need: Need tests, but comprehensive suite may be overkill +- Future need: Will need more tests as complexity grows +- Cost of waiting: Can add test types incrementally + +Complexity Assessment: 8/10 +- Added complexity: Multiple testing frameworks, test data management +- Maintenance burden: Maintaining various test suites +- Learning curve: Team must learn multiple testing approaches + +Simpler Alternative: +Start with focused unit tests for business logic and a few +smoke tests for critical paths. Add other test types when: +1. Integration issues appear → add integration tests +2. User flows break → add E2E tests +3. Edge cases emerge → add property tests + +Recommendation: ☑ Implement simplified version + +Justification: +Tests are important, but comprehensive test suites upfront +often test implementation details that will change. Start +with basics that provide value now, expand based on actual +failures and needs. This also lets us learn what test types +provide the most value for our specific codebase. +``` + +## Implementation Strategy + +### Phase 1: Core Infrastructure (Week 1) + +1. **Add Pragmatic Enforcer to members.yml** + - Define the role with full specifications + - Document behavioral guidelines + +2. **Create configuration system** + - Implement `.architecture/config.yml` + - Add intensity levels + - Define exemption categories + +3. **Update CLAUDE.md** + - Document pragmatic mode activation + - Explain when/how it applies + - Provide usage examples + +### Phase 2: Review Integration (Week 2) + +1. **Modify review template** + - Add Pragmatic Enforcer section + - Include challenge/response format + - Update collaborative discussion to include pragmatic perspective + +2. **Update review process** + - Define when Pragmatic Enforcer participates + - Establish interaction patterns with other architects + - Create decision framework for conflicts + +3. **Create examples** + - Document real scenarios + - Show challenge/response patterns + - Demonstrate value + +### Phase 3: ADR Integration (Week 3) + +1. **Modify ADR template** + - Add pragmatic analysis section + - Include simplification alternatives + - Add cost-of-waiting analysis + +2. **Update decision process** + - Include pragmatic challenges in decision drivers + - Require responses to simplicity questions + - Document deferral decisions + +### Phase 4: Documentation & Refinement (Week 4) + +1. **Create usage guide** + - When to enable pragmatic mode + - How to configure intensity + - Handling exemptions + +2. **Add principles reference** + - Link to YAGNI resources + - Document common pitfalls + - Provide decision frameworks + +3. **Gather feedback** + - Test with real projects + - Refine behavioral patterns + - Adjust intensity calibration + +## Benefits + +### For AI Assistant Interactions + +1. **Reduces over-engineering**: Systematic pushback against unnecessary complexity +2. **Focuses on current needs**: Keeps implementation tied to actual requirements +3. **Balances best practices**: Questions when best practices add more cost than value +4. **Promotes incremental design**: Encourages building what's needed, when it's needed +5. **Saves development time**: Avoids building features that may never be used + +### For Development Teams + +1. **Clearer codebases**: Less accidental complexity to maintain +2. **Faster iteration**: Smaller, simpler implementations ship faster +3. **Better decisions**: Explicit cost-benefit analysis for each feature +4. **Learning opportunities**: Understanding when and why to apply patterns +5. **Reduced technical debt**: Less unused code to maintain or remove later + +### For Project Success + +1. **Lower costs**: Don't pay for complexity until you need it +2. **Higher agility**: Simpler code is easier to change +3. **Faster delivery**: Ship working software sooner +4. **Better adaptability**: Less upfront commitment to specific solutions +5. **Improved quality**: Focus effort on what matters now + +## Risks & Mitigations + +### Risk 1: Under-engineering Critical Systems + +**Risk**: Being too aggressive might skip necessary architecture for security, data integrity, or compliance. + +**Mitigation**: +- Exemption categories in config.yml +- Strict mode only applied to non-critical areas +- Security and compliance always get full treatment +- Document when pragmatic approach is inappropriate + +### Risk 2: Accumulating Technical Debt + +**Risk**: Constant deferral might accumulate technical debt. + +**Mitigation**: +- Pragmatic Enforcer tracks deferred decisions +- Regular reviews of deferral list +- Clear triggers for when to implement deferred items +- Cost-of-waiting analysis included in deferrals + +### Risk 3: Inconsistent Codebase + +**Risk**: Incremental approach might lead to inconsistent patterns. + +**Mitigation**: +- Document current patterns as they emerge +- Refactor for consistency when patterns become clear +- Architecture reviews catch major inconsistencies +- Balance simplicity with coherence + +### Risk 4: Conflict with Other Architects + +**Risk**: Pragmatic Enforcer may create tension with other specialists. + +**Mitigation**: +- Clear decision framework for conflicts +- Collaborative discussion phase for resolution +- Intensity levels allow tuning of aggressiveness +- Final decision includes all perspectives + +### Risk 5: Analysis Paralysis + +**Risk**: Too much questioning might slow decision-making. + +**Mitigation**: +- Time-box pragmatic analysis +- Focus on significant complexity additions +- Use balanced mode as default +- Quick wins: default to simple unless strong justification for complex + +## Open Questions + +1. **Default Intensity**: Should pragmatic mode be strict, balanced, or lenient by default? + - Recommendation: Start with balanced, let users tune + +2. **Always-On vs. Opt-In**: Should pragmatic mode be always enabled or opt-in? + - Recommendation: Opt-in for initial release, gather feedback + +3. **Scope of Challenges**: Should Pragmatic Enforcer challenge all recommendations or only major ones? + - Recommendation: Configurable thresholds, but default to major decisions + +4. **Integration with MCP**: How does this work with MCP server interactions? + - Recommendation: MCP server should understand config.yml and apply mode consistently + +5. **Metrics & Validation**: How do we measure success of pragmatic mode? + - Recommendation: Track deferred decisions, implementation velocity, code complexity metrics + +## Success Criteria + +This implementation is successful if: + +1. **Reduced complexity**: Projects using pragmatic mode have measurably lower complexity scores +2. **Faster delivery**: Time to initial implementation decreases +3. **User satisfaction**: Developers report more manageable codebases +4. **Appropriate use**: Security/compliance areas still get proper treatment +5. **Adoption**: Users enable and keep pragmatic mode enabled +6. **Balance**: Pragmatic challenges are seen as helpful, not obstructive + +## Next Steps + +1. **Stakeholder feedback**: Get input on the concept before implementation +2. **Pilot project**: Test pragmatic mode on a real project +3. **Refine behavioral patterns**: Adjust based on real usage +4. **Create comprehensive examples**: Document diverse scenarios +5. **Integration testing**: Ensure works well with existing framework +6. **Documentation**: Complete user guide and best practices + +## Related Documents + +- `.architecture/principles.md` - Pragmatic Simplicity principle +- `.architecture/members.yml` - Architecture member definitions +- `CLAUDE.md` - Framework usage instructions +- Future ADR for pragmatic mode implementation decision + +## Conclusion + +The Pragmatic Guard Mode addresses a real need in AI-assisted development: systematic pushback against the natural tendency toward over-engineering. By adding a specialized architecture perspective focused on simplicity, necessity, and incremental design, we can help teams build what they need, when they need it, while still maintaining quality and best practices where they matter. + +The key is balance - not all simplicity is good, and not all complexity is bad. The Pragmatic Enforcer provides a structured way to question additions, evaluate trade-offs, and make conscious decisions about complexity rather than accepting it by default. diff --git a/.architecture/decisions/pragmatic-mode-integration-guide.md b/.architecture/decisions/pragmatic-mode-integration-guide.md new file mode 100644 index 0000000..9f9dd92 --- /dev/null +++ b/.architecture/decisions/pragmatic-mode-integration-guide.md @@ -0,0 +1,612 @@ +# Pragmatic Guard Mode Integration Guide + +## Overview + +This document provides detailed guidance on integrating the Pragmatic Guard Mode into the AI Software Architect framework. It covers the technical integration points, behavioral patterns, and usage examples. + +## Integration Points + +### 1. Members Configuration (members.yml) + +Add the Pragmatic Enforcer to the architecture team: + +```yaml +- id: pragmatic_enforcer + name: "Pragmatic Enforcer" + title: "YAGNI Guardian & Simplicity Advocate" + specialties: + - "YAGNI principles" + - "incremental design" + - "complexity analysis" + - "requirement validation" + - "minimum viable solutions" + disciplines: + - "scope management" + - "cost-benefit analysis" + - "technical debt prevention" + - "simplification strategies" + - "deferral decision-making" + skillsets: + - "identifying premature optimization" + - "challenging unnecessary abstractions" + - "proposing simpler alternatives" + - "calculating cost of waiting" + - "questioning best-practice applicability" + domains: + - "implementation simplicity" + - "requirement sufficiency" + - "appropriate complexity" + perspective: "Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem." + + # Pragmatic mode specific configuration + mode_specific: + # Only active when pragmatic mode is enabled + active_when: pragmatic_mode.enabled == true + + # Can be tuned via intensity setting + tunable: true + + # Participates in these phases (can be controlled via config) + default_phases: + - individual_reviews + - collaborative_discussions + - implementation_planning + - adr_creation +``` + +### 2. Configuration System (config.yml) + +Place config.yml in the project's `.architecture/` directory: + +``` +.architecture/ +├── config.yml # Project-specific configuration +├── members.yml # Architecture team members +├── principles.md # Architectural principles +├── decisions/ # ADRs and explorations +└── reviews/ # Architecture reviews +``` + +**Configuration Loading**: +- AI assistant checks for `.architecture/config.yml` at startup +- Falls back to `.architecture/templates/config.yml` defaults if not present +- Settings override default framework behavior + +### 3. CLAUDE.md Updates + +Add pragmatic mode recognition to CLAUDE.md: + +```markdown +### Pragmatic Guard Mode Requests + +When a user requests to enable pragmatic mode using phrases like: +- "Enable pragmatic mode" +- "Turn on YAGNI enforcement" +- "Activate simplicity guard" +- "Challenge complexity" +- "Push back on over-engineering" + +Follow these steps: + +1. **Check Configuration** + - Read `.architecture/config.yml` + - Check if pragmatic_mode.enabled is true + - Note the intensity level (strict/balanced/lenient) + +2. **Include Pragmatic Enforcer** + - Add Pragmatic Enforcer to active reviewers + - Apply to phases specified in config + - Respect exemption categories + +3. **Apply Question Framework** + - For each recommendation, ask necessity questions + - Propose simpler alternatives + - Calculate cost of waiting + - Provide pragmatic analysis + +4. **Document Challenges** + - Include pragmatic analysis in review documents + - Note when recommendations are accepted despite challenges + - Track deferred decisions if enabled +``` + +### 4. Review Template Updates + +Add Pragmatic Enforcer section to `.architecture/templates/review-template.md`: + +```markdown +### Pragmatic Enforcer Review + +**Reviewer**: Pragmatic Enforcer +**Mode**: [Strict | Balanced | Lenient] + +**Overall Assessment**: +[High-level assessment of the architecture's simplicity and appropriateness of complexity] + +**Strengths**: +- [Areas where simplicity is maintained] +- [Good examples of appropriate complexity] +- [Well-justified abstractions] + +**Concerns**: +- [Areas of potentially unnecessary complexity] +- [Abstractions that may be premature] +- [Features that might be YAGNI] + +**Challenges to Other Members' Recommendations**: + +#### Challenge to Systems Architect +**Original Recommendation**: [Quote from Systems Architect] + +**Necessity Assessment**: [Score 0-10] +- Current need: [Analysis] +- Future need: [Analysis] +- Cost of waiting: [Analysis] + +**Complexity Assessment**: [Score 0-10] +- Added complexity: [Details] +- Maintenance burden: [Details] +- Learning curve: [Details] + +**Simpler Alternative**: +[Concrete simpler proposal] + +**Recommendation**: [Implement now | Simplified version | Defer | Skip] + +**Justification**: [Reasoning] + +--- + +[Repeat for each member's significant recommendations] + +**Recommendations**: +1. [Recommendation 1 with priority] +2. [Recommendation 2 with priority] +3. [...] +``` + +### 5. ADR Template Updates + +Add pragmatic analysis section to `.architecture/templates/adr-template.md`: + +```markdown +## Pragmatic Analysis + +[Include this section when pragmatic mode is enabled] + +### Necessity Assessment + +**Current Need**: [0-10 score] +- Why this decision is needed now: [Explanation] +- What breaks without it: [Impact analysis] +- Requirements driving this: [List requirements] + +**Future Need**: [0-10 score] +- Likelihood of needing this: [Probability] +- Timeframe when needed: [Estimate] +- Indicators that will trigger need: [List indicators] + +**Cost of Waiting**: [Low | Medium | High] +- Technical cost of deferring: [Analysis] +- Business cost of deferring: [Analysis] +- Opportunity cost: [Analysis] + +### Complexity Assessment + +**Complexity Score**: [0-10] +- New abstractions: [List with justification] +- New dependencies: [List with justification] +- New patterns: [List with justification] +- Lines of code estimate: [Estimate] +- Files affected: [Count and list major ones] + +**Maintenance Burden**: [Low | Medium | High] +- Ongoing maintenance effort: [Analysis] +- Documentation requirements: [Analysis] +- Testing requirements: [Analysis] + +**Learning Curve**: [Low | Medium | High] +- New concepts to learn: [List] +- Time for developer onboarding: [Estimate] +- Prerequisite knowledge: [List] + +### Simpler Alternatives + +**Alternative 1: [Name]** +- Description: [How this is simpler] +- Trade-offs: [What we give up] +- When to reconsider: [Conditions for revisiting] + +**Alternative 2: [Name]** +- Description: [How this is simpler] +- Trade-offs: [What we give up] +- When to reconsider: [Conditions for revisiting] + +### Deferral Option + +**Can this be deferred?**: [Yes | No | Partially] + +If yes or partially: +- What can be built now without this: [Description] +- Clear trigger for implementing later: [Specific conditions] +- Refactoring cost estimate: [Effort to add later] +- Decision: [Implement now | Implement simplified | Defer] + +### Pragmatic Recommendation + +[Final recommendation from Pragmatic Enforcer perspective with clear reasoning] +``` + +## Behavioral Patterns + +### Pattern 1: Challenge and Response + +**Architect makes recommendation** → **Pragmatic Enforcer challenges** → **Collaborative discussion** → **Final decision** + +Example: +``` +Security Specialist: "Implement OAuth2 + JWT + SAML authentication" + ↓ +Pragmatic Enforcer: "Do we need all three? Current requirements show + only JWT for API auth. Suggest starting with JWT, + adding others when needed. Cost of waiting: zero." + ↓ +Collaborative Discussion: "Security Specialist: Valid point. However, + client has mentioned possible partner integrations. + Pragmatic Enforcer: Can we defer until those + integrations are confirmed? Hard cost vs. soft + possibility." + ↓ +Final Decision: "Implement JWT now. Document SAML as deferred decision + with trigger: 'when partner integration is confirmed'. + Track in deferrals.md" +``` + +### Pattern 2: Intensity-Based Behavior + +**Strict Mode**: +``` +Architect: "Add caching layer for performance" +Pragmatic Enforcer: "❌ Do we have evidence of performance problems? + Without profiling data, this is premature optimization. + RECOMMENDATION: Profile first, optimize specific + bottlenecks if found." +``` + +**Balanced Mode**: +``` +Architect: "Add caching layer for performance" +Pragmatic Enforcer: "⚠️ Caching adds complexity. Do we have performance + requirements or measured problems? If so, suggest + starting with simple in-memory cache for hotspots + rather than full Redis infrastructure. + RECOMMENDATION: Measure, then add simplest caching + that solves proven problems." +``` + +**Lenient Mode**: +``` +Architect: "Add caching layer for performance" +Pragmatic Enforcer: "ℹ️ Consider whether caching is needed now. If + implementing, suggest starting simple. Full Redis + setup might be more than needed initially. + RECOMMENDATION: Architect's suggestion is reasonable, + but watch for over-engineering." +``` + +### Pattern 3: Exemption Handling + +Security-critical features bypass aggressive challenges: + +```yaml +# config.yml +exemptions: + security_critical: true +``` + +``` +Security Specialist: "Implement comprehensive input validation, + parameterized queries, and output encoding" + +Pragmatic Enforcer: "✓ Security-critical - exemption applies. + These are fundamental security controls. + RECOMMENDATION: Implement as specified. + + However, suggest phasing: + - Phase 1: Core validation and parameterized queries + - Phase 2: Output encoding for all render paths + + This allows thorough implementation without rushing." +``` + +## Usage Examples + +### Example 1: Enabling Pragmatic Mode + +**User**: "Enable pragmatic mode to help keep our codebase simple" + +**Claude Response**: +``` +I'll enable Pragmatic Guard Mode for your architecture reviews. + +Reading .architecture/config.yml... + +Current settings: +- Mode: balanced (challenges thoughtfully, accepts justified complexity) +- Applies to: reviews, planning, ADRs +- Exemptions: security, data integrity, compliance +- Tracking: deferrals will be logged to .architecture/deferrals.md + +The Pragmatic Enforcer will now participate in architecture discussions, +challenging complexity and proposing simpler alternatives. This helps +guard against over-engineering while still maintaining quality where +it matters. + +Would you like to adjust the intensity level (strict/balanced/lenient) +or modify any other settings? +``` + +### Example 2: Architecture Review with Pragmatic Mode + +**User**: "Start architecture review for version 2.0.0" + +**Claude conducts review including Pragmatic Enforcer**: + +```markdown +## Individual Perspectives + +### Systems Architect Review +[... standard review ...] + +**Recommendations**: +1. Implement service mesh for microservices communication +2. Add API gateway for request routing +3. Implement distributed tracing + +### Pragmatic Enforcer Review + +**Mode**: Balanced + +**Overall Assessment**: +The Systems Architect recommendations are solid for a mature +microservices architecture, but we need to question whether we're +at that scale yet. Current system has 3 services. This is ambitious +infrastructure for our current scale. + +**Challenges**: + +#### Challenge to Service Mesh Recommendation + +**Original Recommendation**: Implement service mesh for microservices communication + +**Necessity Assessment**: 3/10 +- Current need: Have 3 services with simple REST communication +- Future need: May need if we scale to many services +- Cost of waiting: Near zero - can add when service count increases + +**Complexity Assessment**: 9/10 +- Added complexity: New infrastructure, learning curve, debugging complexity +- Maintenance burden: Mesh configuration, version management +- Learning curve: Team must learn Istio/Linkerd concepts + +**Simpler Alternative**: +For 3 services, use simple HTTP clients with retry logic. Add service +mesh when we have 10+ services or need advanced routing. + +**Recommendation**: ☑ Defer until needed + +**Trigger for implementation**: When service count > 10 or when we need +circuit breakers, advanced routing, or mTLS between services. + +[... challenges to other recommendations ...] + +**Summary Recommendations**: +1. ☑ Defer service mesh (document in deferrals.md) +2. ⚠️ Implement lightweight API gateway (simpler alternative: nginx) +3. ☑ Skip distributed tracing for now (add when debugging is difficult) +``` + +### Example 3: ADR with Pragmatic Analysis + +**User**: "Create ADR for adding authentication system" + +**Claude creates ADR with pragmatic section**: + +```markdown +# ADR-005: Authentication System + +## Context +Need to add user authentication to the application... + +## Decision +Implement JWT-based authentication with role-based access control... + +## Pragmatic Analysis + +### Necessity Assessment + +**Current Need**: 9/10 +- Why needed now: Core requirement for MVP, blocking other features +- What breaks without it: Cannot deploy - no way to secure user data +- Requirements driving this: Security requirement, user stories 1-5 + +**Trigger**: ✓ This must be implemented now + +### Complexity Assessment + +**Complexity Score**: 6/10 +- New abstractions: Auth middleware, token service, user service +- New dependencies: jsonwebtoken, bcrypt +- New patterns: Middleware pattern, JWT flow +- Estimated effort: 3-4 days + +**Maintenance Burden**: Medium +- Need to maintain token refresh logic +- Need to handle token expiration +- Need to update user roles + +### Simpler Alternatives + +**Alternative 1: Basic Authentication** +- Description: Use HTTP Basic Auth for initial release +- Trade-offs: Less secure, no token refresh, but simpler +- When to reconsider: Before any public deployment +- Assessment: ❌ Not acceptable for security requirements + +**Alternative 2: Simplified JWT (no refresh tokens initially)** +- Description: Implement JWT with longer expiration, add refresh later +- Trade-offs: Less secure but significantly simpler to implement +- When to reconsider: When users report logout issues +- Assessment: ✓ Viable simplification + +**Alternative 3: Use OAuth provider (Auth0, Firebase)** +- Description: Delegate authentication to third-party provider +- Trade-offs: External dependency, but much less code to maintain +- When to reconsider: If we need custom auth flows +- Assessment: ✓ Consider for MVP + +### Pragmatic Recommendation + +**Recommendation**: Implement Simplified Alternative 2 + +**Reasoning**: +Authentication is clearly needed (necessity: 9/10). However, we can +reduce complexity by: + +1. Start with JWT without refresh tokens (add refresh in v2) +2. Use longer expiration (24h) for MVP +3. Simple role-based auth (admin/user only initially) + +This cuts implementation time in half while meeting core requirements. +We can add refresh tokens when user sessions become a pain point. + +**Deferred**: Token refresh logic +**Trigger**: User complaints about frequent re-login OR security audit +``` + +## Best Practices + +### When to Use Strict Mode + +- Greenfield projects starting from scratch +- Projects with history of over-engineering +- Time-constrained projects (MVPs, prototypes) +- Projects with junior team (need to learn simplicity) + +### When to Use Balanced Mode (Recommended) + +- Most projects +- Teams with mix of experience levels +- Projects with both immediate and future needs +- When you want guidance without rigid enforcement + +### When to Use Lenient Mode + +- Mature projects with established patterns +- Projects approaching scale where complexity is justified +- Teams experienced in making these trade-offs +- When you want awareness without active challenges + +### When to Disable Pragmatic Mode + +- Security-critical systems where defense-in-depth is required +- Systems with strict compliance requirements +- Projects where upfront architectural investment is justified +- When technical debt is already high and cleanup is the goal + +## Troubleshooting + +### Issue: Pragmatic Enforcer too aggressive + +**Solution**: Lower intensity or adjust thresholds + +```yaml +pragmatic_mode: + intensity: lenient # or balanced if using strict + thresholds: + min_complexity_score: 7 # only challenge high complexity +``` + +### Issue: Pragmatic Enforcer not challenging enough + +**Solution**: Increase intensity or lower thresholds + +```yaml +pragmatic_mode: + intensity: strict + thresholds: + min_complexity_score: 3 # challenge even low complexity + min_necessity_score: 8 # require strong justification +``` + +### Issue: Conflicts with other architects + +**Solution**: Review collaborative discussion, ensure exemptions are set correctly + +```yaml +exemptions: + security_critical: true # Security Specialist wins on security + data_integrity: true # Domain Expert wins on data issues +``` + +### Issue: Too much analysis paralysis + +**Solution**: Reduce scope of application + +```yaml +apply_to: + individual_reviews: true + collaborative_discussions: false # Skip to reduce back-and-forth + implementation_planning: true + adr_creation: false # Skip to speed up decisions +``` + +## Migration Guide + +### Step 1: Add to Existing Project + +```bash +# Copy template config to your project +cp .architecture/templates/config.yml .architecture/config.yml + +# Edit to enable pragmatic mode +vim .architecture/config.yml +# Set: pragmatic_mode.enabled: true +``` + +### Step 2: Test with Single Review + +```bash +# Request a focused review to test the mode +"Have the architecture team review this authentication module" +``` + +### Step 3: Adjust Based on Feedback + +- Too aggressive? Lower intensity +- Not helpful? Adjust triggers and thresholds +- Wrong areas? Modify apply_to settings + +### Step 4: Adopt Fully + +- Update CLAUDE.md with project-specific guidance +- Train team on pragmatic mode philosophy +- Establish team norms for challenge/response patterns + +## Conclusion + +The Pragmatic Guard Mode integrates into the existing AI Software Architect framework through: + +1. **Configuration**: `config.yml` controls behavior +2. **Member Addition**: Pragmatic Enforcer joins the team +3. **Template Updates**: Review and ADR templates include pragmatic sections +4. **Behavioral Patterns**: Defined interaction patterns with other architects +5. **Usage Guidance**: Clear examples and best practices + +The mode is designed to be: +- **Opt-in**: Disabled by default, enable when needed +- **Tunable**: Intensity and thresholds adjust to project needs +- **Respectful**: Exemptions ensure security/compliance aren't compromised +- **Practical**: Focus on real value, not theoretical purity + +Use pragmatic mode to keep your AI assistant focused on building what you need, when you need it, without over-engineering. diff --git a/.architecture/decisions/pragmatic-mode-usage-examples.md b/.architecture/decisions/pragmatic-mode-usage-examples.md new file mode 100644 index 0000000..2cadbf7 --- /dev/null +++ b/.architecture/decisions/pragmatic-mode-usage-examples.md @@ -0,0 +1,1119 @@ +# Pragmatic Guard Mode: Usage Examples + +This document provides concrete, real-world examples of using Pragmatic Guard Mode to prevent over-engineering and maintain simplicity in AI-assisted development. + +## Table of Contents + +1. [Setup and Activation](#setup-and-activation) +2. [Architecture Review Examples](#architecture-review-examples) +3. [Specific Architect Review Examples](#specific-architect-review-examples) +4. [ADR Creation Examples](#adr-creation-examples) +5. [Implementation Planning Examples](#implementation-planning-examples) +6. [Intensity Level Examples](#intensity-level-examples) +7. [Conflict Resolution Examples](#conflict-resolution-examples) +8. [Exemption Examples](#exemption-examples) + +--- + +## Setup and Activation + +### Example 1: First-Time Setup + +**User**: +``` +Enable pragmatic mode for this project +``` + +**Claude**: +``` +I'll enable Pragmatic Guard Mode for your project. + +Setting up pragmatic mode... + +✓ Created .architecture/config.yml from template +✓ Set pragmatic_mode.enabled: true +✓ Using default intensity: balanced +✓ Created .architecture/deferrals.md for tracking deferred decisions +✓ Pragmatic Enforcer added to architecture team + +Configuration summary: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Mode: Balanced + - Challenges thoughtfully + - Accepts justified complexity + - Seeks middle ground + +Applies to: + ✓ Architecture reviews + ✓ Implementation planning + ✓ ADR creation + ✓ Specific architect reviews + +Exemptions (always rigorous): + ✓ Security-critical features + ✓ Data integrity requirements + ✓ Compliance requirements + ✓ Accessibility requirements + +Pragmatic mode is now active. The Pragmatic Enforcer will +participate in architecture discussions, challenging complexity +and proposing simpler alternatives. + +Would you like to adjust any settings or proceed with your next task? +``` + +### Example 2: Adjusting Intensity + +**User**: +``` +I want strict pragmatic mode - really push back on any complexity +``` + +**Claude**: +``` +I'll update the configuration to use strict mode. + +Updated .architecture/config.yml: + pragmatic_mode.intensity: strict + +Strict mode characteristics: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + - Challenges aggressively + - Requires strong justification for any complexity + - Pushes for absolute minimal implementation + - Questions every "should" and "could" + - Default recommendation: simplify or defer + +This mode is best for: + • Greenfield projects + • MVP/prototype development + • Projects with tight deadlines + • Learning to embrace simplicity + +Note: Security, compliance, and data integrity areas +still receive appropriate rigor due to exemptions. + +Strict pragmatic mode is now active. +``` + +--- + +## Architecture Review Examples + +### Example 3: New Feature Review (E-commerce Checkout) + +**User**: +``` +Review the architecture for our new checkout feature +``` + +**Claude conducts review with Pragmatic Enforcer**: + +```markdown +# Architecture Review: Checkout Feature + +## Systems Architect Review + +**Recommendation**: +Implement comprehensive checkout service with: +- Payment gateway abstraction (support Stripe, PayPal, Square) +- Order state machine with full event history +- Inventory reservation system with distributed locks +- Async order processing with message queue +- Retry logic with exponential backoff +- Dead letter queue for failed orders +- Idempotency handling +- Webhook support for payment notifications + +**Complexity**: High +**Benefits**: Production-ready, scalable solution + +--- + +## Pragmatic Enforcer Review + +**Mode**: Balanced + +### Challenge to Systems Architect + +**Original Recommendation**: +"Implement comprehensive checkout service with payment gateway abstraction..." + +**Analysis**: + +Necessity Assessment: 5/10 +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Current need: + • Need checkout: YES (10/10) + • Need multiple payment gateways: UNCERTAIN (we're starting with Stripe only) + • Need full state machine: UNCERTAIN (current flow is linear) + • Need message queue: UNCERTAIN (current volume < 100 orders/day) + +Future need: + • Multiple gateways: Maybe, but no timeline + • Complex state transitions: Possible if returns/exchanges added + • High volume requiring async: Not for 6+ months + +Cost of waiting: + • Payment abstraction: LOW - can extract interface when adding 2nd gateway + • Message queue: LOW - can add when volume increases + • Full state machine: MEDIUM - refactoring state logic later has some cost + +Complexity Assessment: 8/10 +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Added complexity: + • Payment abstraction: 3 interfaces, multiple implementations + • State machine: ~200 LOC for states/transitions + • Message queue: New infrastructure, deployment complexity + • Retry/DLQ: Error handling complexity + +Maintenance burden: HIGH + • Unused payment gateways to maintain + • State machine logic to maintain + • Message queue monitoring and debugging + • Testing all error paths + +Learning curve: MEDIUM-HIGH + • New developers must understand abstraction + • State machine patterns + • Async processing implications + +Simpler Alternative +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Phase 1 (implement now): + • Direct Stripe integration + • Simple status field: pending → confirmed → fulfilled + • Synchronous order processing + • Basic error handling with customer notification + • Webhook for Stripe payment confirmation + +Defer to Phase 2 (when needed): + • Payment abstraction → when we add 2nd gateway + • Complex state machine → when we add returns/cancellations + • Async processing → when volume > 500 orders/day + • Advanced retry logic → when we see specific failure patterns + +Benefits of simpler approach: + ✓ 1 week vs. 3 weeks implementation + ✓ ~500 LOC vs. ~2000 LOC + ✓ Easier to test and debug + ✓ Faster to market + ✓ Learn from real usage before over-architecting + +Recommendation: ⚠️ Implement Simplified Version +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Justification: +This is a new feature with uncertain requirements. The comprehensive +solution solves problems we don't have yet. Starting simple lets us: +1. Launch faster and start learning from real orders +2. Understand actual failure modes before building retry logic +3. See if we actually need multiple payment methods +4. Add complexity based on real needs, not speculation + +The suggested Phase 1 is production-ready and handles the actual +requirement: "let customers pay and receive their orders." + +Deferred decisions tracked in .architecture/deferrals.md: + • Payment gateway abstraction + • Order state machine + • Asynchronous order processing +``` + +**Collaborative Discussion**: +```markdown +## Collaborative Discussion + +Systems Architect: +"I see the pragmatic concerns. However, we've discussed supporting +PayPal in Q2. Wouldn't we have to refactor if we build Stripe-specific?" + +Pragmatic Enforcer: +"Q2 discussion isn't a commitment. But if it is committed: we can +still start simple. Adding a payment interface when we add PayPal +(~3 days) is cheaper than maintaining unused abstraction for 3 months +(~5 days of cognitive overhead, testing, documentation). + +If PayPal gets cancelled or delayed, we saved all that effort." + +Domain Expert: +"We should consider order state carefully. Returns and exchanges are +planned for Q3." + +Pragmatic Enforcer: +"Agreed that's real. But Q3 is when we should add complex state handling. +Q1 needs: place order, confirm payment, fulfill order. Simple status +flow handles this. We'll learn from Q1 what states Q3 actually needs." + +Security Specialist: +"The webhook handling for Stripe needs to be secure - idempotency, +signature verification, etc." + +Pragmatic Enforcer: +"✓ Agreed - security is exempt from aggressive simplification. Proper +webhook handling is part of Phase 1. Not suggesting we skip security." + +## Final Consolidated Recommendation + +**Decision**: Implement Phase 1 (simplified version) + +**Rationale**: +- Core checkout requirement met immediately +- Security maintained appropriately +- Can ship in 1 week vs 3 weeks +- Learn from real usage before committing to architecture +- Clear triggers for adding Phase 2 features +- Refactoring cost is acceptable given uncertainty + +**Deferred to Phase 2** (triggers in deferrals.md): +- Payment gateway abstraction → when PayPal confirmed +- Complex state machine → when returns feature starts development +- Async processing → when orders > 500/day sustained +``` + +### Example 4: Performance Optimization Review + +**User**: +``` +Review our API performance optimizations +``` + +**Systems Architect**: +``` +Recommend implementing: +- Redis caching layer with cache warming +- Database query optimization and indexing +- GraphQL to reduce over-fetching +- CDN for static assets +- Response compression +- Connection pooling +- Load balancing +``` + +**Pragmatic Enforcer (Strict Mode)**: +```markdown +## Pragmatic Enforcer Analysis + +**Mode**: Strict + +⛔ Strong Challenge to All Performance Optimizations + +Question 1: Do we have a performance problem? +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + • Current metrics: Not provided + • User complaints: None mentioned + • Response time targets: Not defined + • Evidence of bottlenecks: None presented + +Result: Cannot justify optimization without evidence + +Question 2: Have we measured? +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + • Profiling data: None + • Slow query log analysis: None + • Response time percentiles: Unknown + • Resource utilization: Unknown + +Result: Don't know what to optimize + +"Premature optimization is the root of all evil" - Donald Knuth + +Necessity Assessment: 1/10 +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +No evidence of need. This is speculative optimization. + +Complexity Assessment: 9/10 +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + • Redis: New infrastructure, cache invalidation complexity + • GraphQL: Major API redesign, different query patterns + • CDN: Additional service, cache invalidation challenges + • Others: Less complex but still added moving parts + +Required Alternative: Measure First +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Step 1: Add observability (1-2 days) + • Add response time logging + • Track P50, P95, P99 latencies + • Log slow queries (>100ms) + • Monitor resource usage + +Step 2: Set targets (1 day) + • Define acceptable response times + • Identify critical endpoints + • Establish SLAs + +Step 3: Measure against targets (1 week) + • Collect real usage data + • Identify actual bottlenecks + • Find slow queries + +Step 4: Optimize proven bottlenecks (if needed) + • Add specific database indexes for slow queries + • Optimize N+1 query patterns + • Cache only expensive operations + • Use simplest solution for each bottleneck + +Estimated effort: 2 weeks vs 6 weeks for proposed solution +Added complexity: Minimal vs High + +Strong Recommendation: ❌ Skip Optimizations, Add Measurement +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Justification: +Without evidence of performance problems, these optimizations are +premature. They add significant complexity that will hinder future +development without proven benefit. + +Add measurement first. If we find performance problems, optimize +the specific bottlenecks with targeted solutions. + +This is a textbook case of YAGNI. +``` + +--- + +## Specific Architect Review Examples + +### Example 5: Security Review with Pragmatic Mode + +**User**: +``` +Ask Security Specialist to review our authentication implementation +``` + +**Security Specialist**: +``` +I recommend: +- JWT with refresh tokens +- Token rotation on each refresh +- Refresh token family tracking for breach detection +- Device fingerprinting +- Rate limiting on all auth endpoints +- Account lockout after failed attempts +- 2FA support +- Security headers (CSP, HSTS, etc.) +- Session fixation protection +- CSRF tokens for state-changing operations +``` + +**Pragmatic Enforcer (Balanced Mode)**: +```markdown +## Pragmatic Enforcer Analysis + +**Mode**: Balanced + +⚠️ Partial Challenge (Security Exempt but Phasing Suggested) + +Security is exempt from aggressive simplification. However, +we can question implementation *phasing* without compromising security. + +Core Security (Implement Now - Phase 1): +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +✅ JWT with appropriate expiration +✅ Secure password hashing (bcrypt/argon2) +✅ HTTPS only (enforce) +✅ Basic rate limiting (prevent brute force) +✅ Security headers (CSP, HSTS, X-Frame-Options) +✅ CSRF protection +✅ Input validation + +Justification: These are fundamental security controls. Not negotiable. +Estimated effort: 3-4 days + +Enhanced Security (Phase 2 - Defer until): +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +⏸️ Refresh tokens → Add when JWT expiration causes UX issues +⏸️ Token rotation → Add with refresh tokens +⏸️ Device fingerprinting → Add if account takeover issues occur +⏸️ 2FA → Add when enterprise customers require it OR after launch + +Justification: +These are valuable security enhancements but add complexity. +They can be added based on actual requirements and threat patterns. + +Balanced Recommendation: ⚠️ Phase the Implementation +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Phase 1 (now): Core security - production-ready +Phase 2 (when needed): Enhanced features based on requirements + +This maintains strong security while avoiding complexity that +may not be needed. Security isn't compromised, but implementation +is right-sized. + +Important: If threat model indicates higher risk (e.g., financial +data, healthcare), implement all recommendations now. +``` + +### Example 6: Performance Review - Database Schema + +**User**: +``` +Ask Performance Specialist to review our database schema for the user profiles feature +``` + +**Performance Specialist**: +``` +Recommendations: +- Add indexes on all foreign keys +- Add composite indexes for common query patterns +- Implement database partitioning for user table +- Use materialized views for dashboard queries +- Add read replicas for scaling +- Implement connection pooling +- Use database-level caching +``` + +**Pragmatic Enforcer (Balanced Mode)**: +```markdown +## Pragmatic Enforcer Challenge + +Question: Do we have query performance data? + +If no → Implement with basic indexes, measure, optimize as needed +If yes → Challenge specific recommendations based on data + +Assuming no data yet (new feature): + +Basic Indexes (Implement Now): +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +✅ Primary keys (automatic) +✅ Foreign keys (prevents slow joins) +✅ Unique constraints as needed + +Complexity: Minimal +Cost: Negligible +Benefit: Prevents obviously slow queries + +Wait and Measure (Defer): +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +⏸️ Composite indexes → Add when slow query log shows specific queries +⏸️ Partitioning → User table would need millions of rows to benefit +⏸️ Materialized views → Add when dashboard queries are slow +⏸️ Read replicas → Add when primary DB CPU > 70% + +Reasoning: +- Composite indexes: Need actual query patterns to design effectively +- Partitioning: Adds complexity, only helps at massive scale +- Materialized views: Adds refresh complexity, only needed if queries slow +- Read replicas: Infrastructure complexity, only needed at scale + +Pragmatic Approach: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +1. Implement with basic indexes +2. Add slow query logging (log queries > 100ms) +3. Monitor for 2 weeks after launch +4. Add specific indexes for slow queries found +5. Revisit scaling options if DB becomes bottleneck + +Recommendation: ⚠️ Start Simple, Optimize Based on Data + +This is responsible performance engineering: measure, then optimize. +``` + +--- + +## ADR Creation Examples + +### Example 7: ADR for API Design + +**User**: +``` +Create ADR for our public API design +``` + +**Claude creates ADR with pragmatic analysis**: + +```markdown +# ADR-003: Public API Design + +## Status + +Proposed + +## Context + +We need to expose a public API for third-party integrations... + +## Decision + +Implement RESTful API with: +- Resource-based URLs +- Standard HTTP methods +- JSON request/response +- API key authentication +- Basic rate limiting + +## Pragmatic Analysis + +### Necessity Assessment + +**Current Need**: 9/10 +✅ Core requirement for partner integrations +✅ Blocking Q1 launch commitments +✅ Clear use cases defined + +**This must be implemented now.** + +### Complexity Assessment + +**Original proposal included:** +- REST + GraphQL endpoints +- Versioning strategy (URL-based + header-based) +- OAuth2 + API keys +- Advanced rate limiting (per-endpoint, per-resource) +- Request/response transformation layer +- API gateway with routing rules + +**Complexity score**: 8/10 + +### Simpler Alternative + +**Phase 1 (MVP):** +``` +Implement: + ✅ REST endpoints for core resources + ✅ JSON request/response + ✅ API key authentication + ✅ Simple rate limiting (1000 req/hour per key) + ✅ Basic versioning (URL-based: /v1/) + ✅ Standard error responses + +Defer: + ⏸️ GraphQL → when partners request it + ⏸️ OAuth2 → when partners need user-context access + ⏸️ Advanced rate limiting → when abuse detected + ⏸️ API gateway → when we have multiple backend services + +Estimated effort: 2 weeks vs 6 weeks for full proposal +Complexity: Moderate vs High +``` + +### Cost of Waiting Analysis + +**GraphQL**: +- Cost of adding now: 2 weeks + ongoing maintenance +- Cost of adding later: 1 week (we'll know required queries) +- Cost of waiting: Zero unless partners specifically request it +- **Decision**: Wait for requirement + +**OAuth2**: +- Cost of adding now: 2 weeks + complexity in all API calls +- Cost of adding later: 1.5 weeks + migration path +- Cost of waiting: May block some enterprise integrations +- **Decision**: Defer, but document trigger clearly + +**Advanced rate limiting**: +- Cost of adding now: 1 week + complexity +- Cost of adding later: 3 days for specific limits needed +- Cost of waiting: Risk of abuse (mitigated by basic limits) +- **Decision**: Defer, monitor for abuse + +### Pragmatic Recommendation + +✅ **Implement Phase 1 (simplified version)** + +**Reasoning**: +The Phase 1 API is production-ready and meets all confirmed requirements. +Additional features can be added when partners demonstrate need. + +Building for imagined API use cases often leads to wrong abstractions. +Better to learn from partner usage, then extend based on real patterns. + +**Clear triggers for Phase 2 features** (document in deferrals.md): +- GraphQL → when 3+ partners request it +- OAuth2 → when partner needs user-context operations +- Advanced rate limiting → when abuse detected or requested +- API gateway → when coordinating multiple services + +## Alternatives Considered + +### Alternative 1: GraphQL Only +... + +### Alternative 2: Full-Featured from Start +(This was challenged by Pragmatic Enforcer above) + +## Decision + +Implement Phase 1 RESTful API as described in Pragmatic Analysis. +Track Phase 2 features in deferrals.md with clear triggers. +``` + +--- + +## Implementation Planning Examples + +### Example 8: Feature Implementation Plan + +**User**: +``` +Plan the implementation of our notification system +``` + +**Developer's Initial Plan**: +``` +1. Set up message queue (RabbitMQ or Kafka) +2. Build notification service +3. Implement email, SMS, and push notification providers +4. Add notification preferences per user +5. Build notification template system +6. Add notification history and read status +7. Implement delivery retry logic +8. Add webhook support for delivery status +``` + +**Pragmatic Enforcer Review**: +```markdown +## Pragmatic Analysis of Implementation Plan + +Question: What notifications do we actually need for MVP? + +[After discussion, need is: password reset emails] + +Significant Challenge: ⛔ This plan is over-engineered by 10x +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Current plan effort: 3-4 weeks +Actual requirement: Send password reset emails +Reasonable implementation: 2-3 days + +Necessity Assessment: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + Need notification system: NO + Need to send password reset emails: YES + Need other notification types: UNCONFIRMED + +Massively Simplified Alternative: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +For MVP (2-3 days): +```javascript +// utils/email.js +const sendEmail = async (to, subject, html) => { + // Use SendGrid/Mailgun/SES directly + await emailService.send({ to, subject, html }); +}; + +// Email templates as simple functions +const passwordResetEmail = (resetLink) => { + return { + subject: 'Reset Your Password', + html: `

Click here to reset: ${resetLink}

` + }; +}; +``` + +That's it. This handles the requirement. + +When to add notification "system": +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + ⏸️ Message queue → when we need async/batch sending (volume > 1000/hour) + ⏸️ Multiple providers → when we add SMS, push (confirmed requirement) + ⏸️ Template system → when we have 10+ email types + ⏸️ Notification history → when users ask "what emails did you send me?" + ⏸️ Preference management → when we have marketing emails + ⏸️ Webhooks → when we need delivery tracking + +Revised Implementation Plan: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ + +Phase 1 - Now (2-3 days): + 1. ✅ Integrate SendGrid/Mailgun for transactional email + 2. ✅ Create passwordResetEmail template function + 3. ✅ Send email in password reset flow + 4. ✅ Basic error handling + +Phase 2 - When needed (deferred): + • Notification service → when adding non-email channels + • Template system → when we have many email types + • History/preferences → when users need control + • Advanced features → based on actual requirements + +Savings: ~3 weeks of implementation time + ~2000 LOC of maintenance burden avoided (until needed) + +Strong Recommendation: ✅ Implement Phase 1 Only + +This is a classic case of building a "system" when a few +functions would suffice. Start simple, extract patterns +when you have several real examples to inform the design. +``` + +--- + +## Intensity Level Examples + +### Example 9: Same Scenario, Different Intensities + +**Scenario**: Adding logging to the application + +**Systems Architect Recommends**: +``` +Implement structured logging with: +- Centralized logging service (ELK stack or Datadog) +- Correlation IDs across services +- Log levels with filtering +- JSON structured logs +- Log sampling for high-volume endpoints +- PII scrubbing +- Log retention policies +``` + +#### Strict Mode Response: + +```markdown +❌ Strong Challenge + +Do we have a logging problem? NO. +Do we have more than one service? NO. +Do we have high volume? NO. + +This is massive over-engineering. + +Simplest Alternative: + • Use console.log with timestamps + • Add to error handling + • That's it for MVP + +Add proper logging when: + • Multiple services need correlation + • Debugging becomes difficult + • Compliance requires log retention + +Strong Recommendation: Skip most of this, use basic logging + +Effort saved: 2 weeks +Complexity avoided: Very high +``` + +#### Balanced Mode Response: + +```markdown +⚠️ Thoughtful Challenge + +The comprehensive logging system is valuable but may be premature. + +Balanced Approach: + +Phase 1 (implement now): + ✅ Use logging library (winston/pino) + ✅ Structured JSON logs + ✅ Basic log levels + ✅ Console output (for now) + +Phase 2 (when needed): + ⏸️ Centralized service → when debugging across environments is difficult + ⏸️ Correlation IDs → when we have multiple services + ⏸️ Sampling → when log volume becomes a cost issue + ⏸️ PII scrubbing → when we log user data + +Recommendation: Implement Phase 1, defer Phase 2 + +Reasoning: +Structured logging is low-effort foundation that doesn't lock us in. +Full infrastructure can wait until we have the problem it solves. +``` + +#### Lenient Mode Response: + +```markdown +ℹ️ Consideration + +The logging approach is reasonable. Some thoughts: + +Observations: + • ELK/Datadog setup is significant infrastructure + • Most features are valuable but may not be day-1 needs + • Consider starting with managed solution + +Suggestion: +Perhaps start with simpler logging service (Logtail, Papertrail) +and upgrade to full ELK stack if needs become more complex? + +Recommendation: Architect's approach is reasonable + +The comprehensive plan is solid. Just noting there might be +simpler options to get similar value with less infrastructure +management. +``` + +--- + +## Conflict Resolution Examples + +### Example 10: Pragmatic Enforcer vs. Security Specialist + +**Context**: Pragmatic Enforcer challenges security recommendation + +**Security Specialist**: +``` +All API endpoints must have rate limiting, even internal ones +``` + +**Pragmatic Enforcer (Strict Mode)**: +``` +⏸️ Challenge: Internal endpoints don't face external threats + Recommendation: Skip rate limiting for internal endpoints +``` + +**Resolution**: +```markdown +## Collaborative Discussion + +Security Specialist: +"Internal endpoints can still be abused if any service is compromised. +Defense in depth requires protection at all layers." + +Pragmatic Enforcer: +"Valid point. However, which is more likely: +a) Service compromise leading to API abuse, or +b) We never experience internal abuse + +If (a), we have bigger problems than missing rate limits. +If (b), we maintained unused code." + +Security Architect: +"I see the pragmatic argument, but security isn't just about +likelihood—it's about impact. A compromised internal service +could cause system-wide damage." + +Pragmatic Enforcer: +"Acknowledged. This falls under 'security_critical' exemption +in the config. I withdraw the challenge for security-related +rate limiting." + +## Resolution + +✅ Implement rate limiting for all endpoints + +Reasoning: +Security exemption applies. While the pragmatic analysis about +likelihood is valid, the security defense-in-depth principle +takes precedence for security-related features. + +Updated config.yml exemption: security_critical: true +``` + +### Example 11: Pragmatic Enforcer vs. Systems Architect + +**Context**: Disagreement about abstraction layer + +**Systems Architect**: +``` +Add repository pattern to abstract data access +``` + +**Pragmatic Enforcer**: +``` +⏸️ We have one data source (PostgreSQL). Why abstract? +``` + +**Collaborative Discussion**: +```markdown +Systems Architect: +"Repository pattern provides: +1. Testability (mock data layer) +2. Flexibility (could swap databases) +3. Clean separation of concerns" + +Pragmatic Enforcer: +"Let's evaluate each justification: + +1. Testability: + - Can already test with test database + - Repository adds mocking complexity + - Is mocking better than test DB? + +2. Flexibility: + - Are we actually going to swap databases? + - If yes, when and for what reason? + - What's the cost of refactoring if we do? + +3. Separation of concerns: + - This is valid + - But what does it cost? + - ~100 LOC per entity, ~500 LOC total + +Is the abstraction worth 500 LOC?" + +Systems Architect: +"Those are fair questions. We're not planning to swap databases. +Testability can use test DB. The separation is nice but perhaps +not essential for our 5 domain entities." + +Domain Expert: +"I'm more concerned about domain logic leaking into data access. +Could we just separate concerns without full repository pattern?" + +Pragmatic Enforcer: +"Yes. Simple separation: +```javascript +// domain/user.js - business logic +class User { + canPurchase() { /* rules */ } +} + +// data/userQueries.js - data access +const findUser = (id) => db.query(...) + +// No repository interface, just separated +``` + +This gives separation without abstraction overhead." + +## Resolution + +✅ Implement simple separation (not full repository pattern) + +Reasoning: +- Achieve core goal (separation) with less complexity +- Avoid premature abstraction +- Can extract repository pattern later if needed +- Start with concrete implementation, abstract when patterns emerge + +Deferred: Repository pattern +Trigger: When we need to swap data sources OR when testing + with real database becomes problematic +``` + +--- + +## Exemption Examples + +### Example 12: Security Exemption (GDPR Compliance) + +**Context**: GDPR data handling requirements + +**User**: +``` +We need to implement GDPR data export and deletion +``` + +**Systems Architect**: +``` +Implement: +- Data export in machine-readable format +- Cascading deletion across all systems +- Audit trail of data operations +- Consent tracking +- Data retention policies +``` + +**Pragmatic Enforcer**: +```markdown +**Category**: Compliance (Exempt) + +✅ No Challenge - Compliance Requirement + +Exemption applies: compliance_required: true + +All recommendations should be implemented as specified. + +Pragmatic contribution: Implementation phasing suggestion + +Phase 1 (Immediate - Required for compliance): + ✅ User data export endpoint (JSON format) + ✅ Account deletion with cascading + ✅ Basic consent tracking + ✅ Audit log of data operations + +Phase 2 (Enhanced - Within 30 days): + ✅ Multiple export formats (JSON, CSV, XML) + ✅ Scheduled data retention policies + ✅ Granular consent options + +All features are justified by GDPR requirements. +Pragmatic mode defers to compliance needs. + +Note: Even with exemption, phasing can help manage implementation +without compromising compliance. +``` + +### Example 13: Data Integrity Exemption (Financial Transactions) + +**Context**: Payment processing system + +**Developer**: +``` +Should I add database transactions for the payment flow? +``` + +**Pragmatic Enforcer**: +```markdown +**Category**: Data Integrity (Exempt) + +✅ Strong Recommendation: Yes, implement transactions + +Exemption applies: data_integrity: true + +For payment flows: + ✅ Database transactions (ACID) + ✅ Idempotency keys + ✅ Reconciliation processes + ✅ Audit trail + ✅ Error handling with rollback + +This is NOT negotiable for financial data. + +Pragmatic mode does NOT question: + • Data consistency mechanisms + • Financial integrity controls + • Audit requirements + • Reconciliation processes + +Even in strict mode, financial data integrity is paramount. +``` + +--- + +## Conclusion + +These examples demonstrate how Pragmatic Guard Mode: + +1. **Challenges complexity** while respecting necessary rigor +2. **Proposes alternatives** that meet actual requirements +3. **Defers decisions** until requirements are clear +4. **Respects exemptions** for security and compliance +5. **Adapts intensity** to project needs +6. **Resolves conflicts** through collaborative discussion +7. **Maintains quality** while avoiding over-engineering + +The key principle: **Build what you need now, add what you need later.** + +--- + +## Quick Reference Card + +``` +┌─────────────────────────────────────────────────────────────┐ +│ Pragmatic Mode Quick Reference │ +├─────────────────────────────────────────────────────────────┤ +│ Activation: │ +│ "Enable pragmatic mode" │ +│ │ +│ Intensity: │ +│ Strict → ❌ Challenge aggressively │ +│ Balanced → ⚠️ Challenge thoughtfully (default) │ +│ Lenient → ℹ️ Suggest alternatives │ +│ │ +│ Always Questions: │ +│ • Do we need this now? │ +│ • What's the simplest thing that could work? │ +│ • What's the cost of waiting? │ +│ • Can we defer this decision? │ +│ │ +│ Never Compromises: │ +│ ✓ Security requirements │ +│ ✓ Data integrity │ +│ ✓ Compliance needs │ +│ ✓ Accessibility requirements │ +│ │ +│ Tracks: │ +│ • Deferred decisions in .architecture/deferrals.md │ +│ • Trigger conditions for implementation │ +│ • Cost-benefit analysis │ +└─────────────────────────────────────────────────────────────┘ +``` diff --git a/.architecture/deferrals.md b/.architecture/deferrals.md new file mode 100644 index 0000000..83ac510 --- /dev/null +++ b/.architecture/deferrals.md @@ -0,0 +1,1364 @@ +# Deferred Architectural Decisions + +This document tracks architectural features, patterns, and complexity that have been consciously deferred for future implementation. Each deferral includes the rationale for waiting and clear trigger conditions for when it should be reconsidered. + +## Status Key + +- **Deferred**: Decision to defer is active, watching for trigger +- **Triggered**: Trigger condition met, needs implementation +- **Implemented**: Feature has been implemented (moved to ADR) +- **Cancelled**: No longer needed or relevant + +--- + +## Deferred Decisions + +### Multiple Example Reviews (Phase 2B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Creating 3-5 comprehensive example architectural reviews demonstrating pragmatic mode in various scenarios + +**Original Proposal**: +Phase 2 roadmap included creating 3-5 complete example reviews to demonstrate pragmatic mode in different contexts (performance optimization, security features, test infrastructure, etc.) + +**Rationale for Deferring**: +- Current need score: 5/10 (helpful but not essential) +- Complexity score: 6/10 (time-consuming to create realistic examples) +- Cost of waiting: Low +- Already have one complete example (`example-pragmatic-api-feature.md`) +- Already have 13+ scenarios in `pragmatic-mode-usage-examples.md` +- Real usage will inform better examples than synthetic ones +- Risk of creating examples that don't match actual usage patterns + +**Simpler Current Approach**: +Single comprehensive example demonstrating core pragmatic mode patterns. Reference existing usage examples documentation for additional scenarios. + +**Trigger Conditions** (Implement when): +- [ ] Users request more example reviews +- [ ] First 3 real reviews reveal patterns not covered in current example +- [ ] Feedback indicates template alone is insufficient +- [ ] Specific scenario gaps identified through actual usage + +**Implementation Notes**: +When creating additional examples: +- Base on real reviews that have been conducted +- Focus on scenarios that proved confusing or needed clarification +- Prioritize examples that show different intensity levels +- Include examples with different exemption scenarios + +**Related Documents**: +- `.architecture/reviews/example-pragmatic-api-feature.md` (current example) +- `.architecture/decisions/pragmatic-mode-usage-examples.md` (13+ scenarios) +- `.architecture/decisions/phase-2-pragmatic-analysis.md` (deferral decision) + +**Last Reviewed**: 2025-11-05 + +--- + +### Extensive Phase 2 Documentation + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Additional documentation for review process integration beyond template and single example + +**Original Proposal**: +Create comprehensive documentation covering: +- Detailed review process with pragmatic mode +- Integration patterns +- Troubleshooting guide +- Best practices + +**Rationale for Deferring**: +- Current need score: 4/10 (would be nice but not required) +- Complexity score: 5/10 (time-consuming) +- Cost of waiting: Very low +- Existing integration guide covers technical details +- Existing usage examples cover scenarios +- Template provides structure +- Don't know yet what users will find confusing + +**Simpler Current Approach**: +Rely on existing documentation: +- Review template with clear structure +- One complete example +- Integration guide +- Usage examples document +- CLAUDE.md instructions + +**Trigger Conditions** (Implement when): +- [ ] Users ask questions not covered in existing docs +- [ ] Specific pain points emerge from actual usage +- [ ] Common patterns emerge that need documentation +- [ ] 5+ support requests on same topic + +**Implementation Notes**: +Document actual problems users encounter, not imagined ones. This ensures documentation addresses real needs. + +**Related Documents**: +- `.architecture/decisions/pragmatic-mode-integration-guide.md` +- `.architecture/decisions/pragmatic-mode-usage-examples.md` +- `CLAUDE.md` + +**Last Reviewed**: 2025-11-05 + +--- + +### Comprehensive Integration Testing + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Testing +**Priority**: Medium + +**What Was Deferred**: +Extensive integration testing suite for Phase 2 review process integration + +**Original Proposal**: +Create comprehensive tests: +- Template rendering with all architect combinations +- Pragmatic mode enabled/disabled scenarios +- Different intensity levels +- All trigger conditions +- Exemption scenarios +- Error cases + +**Rationale for Deferring**: +- Current need score: 6/10 (testing is valuable) +- Complexity score: 7/10 (time-consuming, requires test framework) +- Cost of waiting: Low +- Manual testing verifies core functionality +- First real usage will reveal actual edge cases +- Can test with real scenarios vs synthetic ones +- Template is straightforward enough for manual verification + +**Simpler Current Approach**: +- Manual verification that template is well-formed +- Test with simple review scenario (done) +- Monitor first real reviews for issues +- Add tests for patterns that prove problematic + +**Trigger Conditions** (Implement when): +- [ ] Bugs found in review process +- [ ] Template changes frequently and needs regression protection +- [ ] Complex logic added that's hard to verify manually +- [ ] Multiple contributors need test suite + +**Implementation Notes**: +When implementing: +- Focus on testing actual failure modes discovered +- Test template rendering and structure +- Test pragmatic mode activation/deactivation +- Test different intensity levels + +**Related Documents**: +- `.architecture/templates/review-template.md` +- `.architecture/PHASE-1-TEST.md` + +**Last Reviewed**: 2025-11-05 + +--- + +### Multiple Example ADRs (Phase 3B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Creating 3-5 comprehensive example ADRs demonstrating pragmatic mode analysis for various decision types + +**Original Proposal**: +Phase 3 roadmap included creating 3-5 complete example ADRs to demonstrate pragmatic analysis in different contexts: +- Infrastructure decisions +- Technology stack choices +- Design pattern adoptions +- Performance optimization decisions +- Security architecture decisions + +**Rationale for Deferring**: +- Current need score: 4/10 (helpful but not essential) +- Complexity score: 7/10 (more complex than review examples, need realistic decisions) +- Cost of waiting: Very low +- Already have one complete example (`example-pragmatic-caching-layer.md`) +- ADR format is well-understood, adding pragmatic section is straightforward +- Real ADRs will provide better examples than synthetic ones +- Risk of creating examples that don't reflect actual architectural decisions +- Technology choices in examples may become dated + +**Simpler Current Approach**: +Single comprehensive ADR example demonstrating complete pragmatic analysis pattern. Users understand ADR format; one example shows how to add pragmatic section. + +**Trigger Conditions** (Implement when): +- [ ] Users request more ADR examples +- [ ] First 3 real ADRs with pragmatic mode reveal patterns not covered +- [ ] Feedback indicates one example is insufficient +- [ ] Specific decision types emerge that need dedicated examples +- [ ] Common architectural decisions need documented patterns + +**Implementation Notes**: +When creating additional examples: +- Base on real ADRs that have been created with pragmatic mode +- Focus on decision types that proved challenging +- Show different pragmatic outcomes (approved, simplified, deferred, rejected) +- Include examples at different intensity levels +- Cover different trigger scenarios and exemptions + +**Related Documents**: +- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` (current example) +- `.architecture/templates/adr-template.md` (updated template) +- `.architecture/decisions/phase-3-pragmatic-analysis.md` (deferral decision) + +**Last Reviewed**: 2025-11-05 + +--- + +### Extensive ADR Process Documentation (Phase 3B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Additional documentation for ADR creation process with pragmatic mode beyond template and single example + +**Original Proposal**: +Create comprehensive documentation covering: +- Detailed ADR creation workflow with pragmatic mode +- How to conduct pragmatic analysis +- Guidelines for scoring necessity and complexity +- When to defer decisions +- How to set trigger conditions +- Best practices for phased implementations +- Integration with architecture reviews + +**Rationale for Deferring**: +- Current need score: 3/10 (would be nice but not required) +- Complexity score: 5/10 (time-consuming) +- Cost of waiting: Very low +- ADR template is self-documenting +- Example ADR shows complete pattern +- CLAUDE.md already covers ADR creation process +- Don't know yet what users will find confusing about ADR pragmatic analysis +- Can document actual pain points instead of speculating + +**Simpler Current Approach**: +Rely on existing documentation: +- ADR template with Pragmatic Enforcer Analysis section +- One complete example showing full pattern +- CLAUDE.md instructions for pragmatic mode +- Configuration file with thresholds and settings +- Review example showing pragmatic analysis patterns + +**Trigger Conditions** (Implement when): +- [ ] Users ask questions not covered in existing docs +- [ ] Specific pain points emerge from actual ADR creation +- [ ] Common scoring confusion emerges +- [ ] 5+ support requests on same ADR-related topic +- [ ] Teams struggle with pragmatic analysis despite example + +**Implementation Notes**: +Document actual problems users encounter when creating ADRs with pragmatic mode. Focus on real confusion, not imagined difficulties. + +**Related Documents**: +- `.architecture/templates/adr-template.md` +- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` +- `CLAUDE.md` +- `.architecture/config.yml` + +**Last Reviewed**: 2025-11-05 + +--- + +### Comprehensive ADR Integration Testing (Phase 3B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Testing +**Priority**: Medium + +**What Was Deferred**: +Extensive integration testing suite for Phase 3 ADR template with pragmatic analysis + +**Original Proposal**: +Create comprehensive tests: +- ADR template rendering with pragmatic section +- Different decision types and outcomes +- Necessity/complexity scoring calculations +- Trigger condition formats +- Integration with review process +- Different intensity levels affecting recommendations +- Exemption scenario handling +- Migration paths and phased approaches + +**Rationale for Deferring**: +- Current need score: 5/10 (testing is valuable but not urgent) +- Complexity score: 7/10 (time-consuming, requires test framework) +- Cost of waiting: Low +- Manual testing verifies template is well-formed +- First real ADRs will reveal actual edge cases +- Can test with real scenarios vs synthetic ones +- ADR template is straightforward enough for manual verification +- Template structure is simpler than review template + +**Simpler Current Approach**: +- Manual verification that template is well-formed +- Verify example ADR uses template correctly +- Monitor first real ADRs for issues +- Add tests for patterns that prove problematic + +**Trigger Conditions** (Implement when): +- [ ] Bugs found in ADR pragmatic analysis +- [ ] ADR template changes frequently and needs regression protection +- [ ] Complex logic added for scoring or recommendations +- [ ] Multiple contributors need test suite +- [ ] Automated validation of necessity/complexity ratios needed + +**Implementation Notes**: +When implementing: +- Focus on testing actual failure modes discovered +- Test template structure and completeness +- Test pragmatic scoring calculations if automated +- Test integration with review process +- Test different intensity levels if behavior varies + +**Related Documents**: +- `.architecture/templates/adr-template.md` +- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` +- `.architecture/PHASE-1-TEST.md` + +**Last Reviewed**: 2025-11-05 + +--- + +### Cross-Reference Example Library (Phase 3B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Building a comprehensive cross-referenced library of pragmatic mode examples across reviews, ADRs, and decision scenarios + +**Original Proposal**: +Create an organized library: +- Index of all examples by scenario type +- Cross-references between review and ADR examples +- Searchable catalog of pragmatic challenges +- Decision tree for when to defer vs simplify vs implement +- Pattern library of common architectural over-engineering traps + +**Rationale for Deferring**: +- Current need score: 3/10 (nice to have, not essential) +- Complexity score: 6/10 (requires corpus of examples to cross-reference) +- Cost of waiting: Very low +- Only have 2 examples currently (1 review, 1 ADR) +- Need more real examples before patterns emerge +- Premature to create index with limited content +- Pattern library should emerge from actual usage, not speculation + +**Simpler Current Approach**: +Let example corpus grow organically from real usage. Cross-reference when patterns emerge naturally. + +**Trigger Conditions** (Implement when): +- [ ] 10+ documented examples exist (reviews + ADRs) +- [ ] Clear patterns emerge across multiple examples +- [ ] Users request ability to search examples by scenario +- [ ] Common architectural traps documented from real usage +- [ ] Teaching/training need for organized example library + +**Implementation Notes**: +When implementing: +- Wait for corpus of real examples to accumulate +- Identify patterns from actual usage, not speculation +- Create taxonomy based on real decision types encountered +- Build index only when content justifies the structure + +**Related Documents**: +- `.architecture/reviews/example-pragmatic-api-feature.md` +- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` +- Future examples to be added as they're created + +**Last Reviewed**: 2025-11-05 + +--- + +### Comprehensive Usage Guide (Phase 4B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Creating a comprehensive usage guide for pragmatic mode beyond existing CLAUDE.md instructions + +**Original Proposal**: +Phase 4 roadmap included creating detailed usage guide covering: +- When to enable pragmatic mode +- How to configure intensity levels +- Handling exemptions +- Best practices for usage +- Integration workflows +- Troubleshooting guide + +**Rationale for Deferring**: +- Current need score: 3/10 (helpful but not essential) +- Complexity score: 6/10 (significant documentation effort) +- Cost of waiting: Very low +- CLAUDE.md already has comprehensive 9-step activation guide +- config.yml has extensive inline documentation +- Examples demonstrate usage patterns +- Don't know yet what users will struggle with +- Cannot create effective guide without seeing real usage questions + +**Simpler Current Approach**: +Rely on existing documentation: +- CLAUDE.md: Complete "Pragmatic Guard Mode Requests" section with 9-step process +- config.yml: Extensive inline documentation for all settings +- Review template: Self-documenting with clear structure +- ADR template: Self-documenting with clear structure +- Examples: 1 review + 1 ADR demonstrate all patterns + +**Trigger Conditions** (Implement when): +- [ ] 5+ support questions about how to use pragmatic mode +- [ ] Users report confusion despite existing documentation +- [ ] Common usage patterns emerge that aren't documented +- [ ] Specific workflows prove difficult to understand +- [ ] Feedback indicates current docs insufficient + +**Implementation Notes**: +When creating usage guide: +- Base on actual user questions and confusion points +- Focus on scenarios that proved unclear in practice +- Include real-world usage examples from actual projects +- Address specific pain points identified through support +- Avoid documenting what users already understand + +**Related Documents**: +- `CLAUDE.md` (current usage instructions) +- `.architecture/config.yml` (configuration documentation) +- `.architecture/reviews/example-pragmatic-api-feature.md` +- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` +- `.architecture/decisions/phase-4-pragmatic-analysis.md` (deferral decision) + +**Last Reviewed**: 2025-11-05 + +--- + +### YAGNI Principles Reference Document (Phase 4B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Creating a comprehensive reference document on YAGNI principles, resources, and best practices + +**Original Proposal**: +Phase 4 roadmap included creating reference documentation covering: +- Link to YAGNI resources (Martin Fowler, Kent Beck, XP principles) +- Common pitfalls in architectural decision-making +- Decision frameworks for complexity vs simplicity +- When YAGNI applies and when it doesn't +- Examples of appropriate vs premature optimization +- Cost-benefit frameworks for architectural decisions + +**Rationale for Deferring**: +- Current need score: 2/10 (nice to have, not required) +- Complexity score: 5/10 (research and compilation effort) +- Cost of waiting: Zero +- Can link to external resources (Martin Fowler, Kent Beck) as needed +- Don't know yet what principles users need reinforcement on +- Cannot document "common pitfalls" that haven't been encountered +- Better to create based on actual user needs vs speculation + +**Simpler Current Approach**: +Link to external resources when needed: +- Martin Fowler's YAGNI article: https://martinfowler.com/bliki/Yagni.html +- Kent Beck's XP principles (reference in principles.md) +- Pragmatic mode config and examples demonstrate principles in action +- Users can request specific references if needed + +**Trigger Conditions** (Implement when): +- [ ] Users request deeper learning resources on YAGNI +- [ ] Questions show misunderstanding of when YAGNI applies +- [ ] Common misconceptions emerge from real usage +- [ ] Teams struggle with philosophical understanding despite examples +- [ ] 5+ requests for learning resources or deeper principles + +**Implementation Notes**: +When creating principles reference: +- Focus on areas where users show actual confusion +- Include real examples from user projects (anonymized) +- Address specific misconceptions that emerged +- Link to authoritative external resources +- Keep practical and actionable, not purely theoretical + +**Related Documents**: +- `.architecture/principles.md` (existing principles) +- External: Martin Fowler YAGNI article +- External: Kent Beck XP principles +- `.architecture/decisions/exploration-pragmatic-guard-mode.md` (rationale) + +**Last Reviewed**: 2025-11-05 + +--- + +### Common Pitfalls Documentation (Phase 4B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Documenting common pitfalls and anti-patterns when using pragmatic mode + +**Original Proposal**: +Phase 4 roadmap included documenting common pitfalls: +- Mistakes users make when applying pragmatic mode +- Anti-patterns in using YAGNI principles +- When pragmatic mode is applied inappropriately +- Balancing simplicity with necessary complexity +- Avoiding under-engineering critical systems + +**Rationale for Deferring**: +- Current need score: 1/10 (cannot do without real usage) +- Complexity score: 4/10 (straightforward documentation once known) +- Cost of waiting: Zero - literally cannot do this before it happens! +- **CANNOT document pitfalls that haven't been encountered** +- Don't know yet what mistakes users will make +- Speculating about pitfalls risks documenting wrong things +- Real usage will reveal actual problems vs imagined ones + +**Simpler Current Approach**: +Wait for real usage to reveal pitfalls: +- Monitor first users' experiences +- Collect actual problems encountered +- Document real anti-patterns as they emerge +- Learn from mistakes rather than speculate + +**Trigger Conditions** (Implement when): +- [ ] 5+ users have used pragmatic mode on real projects +- [ ] Common mistakes emerge from real usage +- [ ] Patterns of misuse are observed +- [ ] Specific scenarios repeatedly cause problems +- [ ] Anti-patterns identified from actual projects + +**Implementation Notes**: +When creating pitfalls documentation: +- Base entirely on real problems encountered +- Include real examples (anonymized if needed) +- Explain why the pitfall is problematic +- Provide corrective guidance +- Show before/after examples +- This document MUST wait for real usage data + +**Related Documents**: +- Future: Real user feedback and usage reports +- `.architecture/decisions/phase-4-pragmatic-analysis.md` (why deferred) + +**Last Reviewed**: 2025-11-05 + +--- + +### Behavioral Pattern Refinement (Phase 4B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Enhancement +**Priority**: Medium + +**What Was Deferred**: +Refining pragmatic mode behavioral patterns based on real-world usage feedback + +**Original Proposal**: +Phase 4 roadmap included behavioral refinement: +- Test with real projects +- Refine question frameworks +- Adjust response patterns +- Improve challenge structure +- Enhance collaborative discussion integration + +**Rationale for Deferring**: +- Current need score: 0/10 (literally impossible without usage data) +- Complexity score: 6/10 (requires analysis and iteration) +- Cost of waiting: Zero until we have usage data +- **CANNOT refine patterns without seeing them in real usage** +- Current patterns are well-designed based on YAGNI principles +- Need real usage to know what works and what doesn't +- Premature refinement risks optimizing wrong things + +**Simpler Current Approach**: +Ship current behavioral patterns as-is: +- Question framework is well-designed +- Response patterns are clear and structured +- Assessment framework (0-10 scoring) is straightforward +- Wait for real usage to show what needs refinement + +**Trigger Conditions** (Implement when): +- [ ] 10+ pragmatic mode reviews/ADRs conducted +- [ ] Patterns emerge showing specific questions are unclear +- [ ] Users report challenge structure is confusing +- [ ] Response format proves inadequate for real scenarios +- [ ] Feedback indicates specific improvements needed +- [ ] Behavioral patterns produce unhelpful or confusing results + +**Implementation Notes**: +When refining behavioral patterns: +- Analyze actual reviews and ADRs created with pragmatic mode +- Identify what worked well vs what caused confusion +- Refine based on real usage patterns, not speculation +- A/B test changes if possible +- Update templates, examples, and documentation consistently + +**Related Documents**: +- `.architecture/templates/review-template.md` (current patterns) +- `.architecture/templates/adr-template.md` (current patterns) +- Future: Analysis of real pragmatic mode usage + +**Last Reviewed**: 2025-11-05 + +--- + +### Intensity Calibration Adjustment (Phase 4B) + +**Status**: Deferred +**Deferred Date**: 2025-11-05 +**Category**: Enhancement +**Priority**: Medium + +**What Was Deferred**: +Adjusting intensity level calibration (strict, balanced, lenient) based on real project data + +**Original Proposal**: +Phase 4 roadmap included intensity calibration: +- Validate current thresholds with real projects +- Adjust complexity/necessity ratio targets +- Refine strict/balanced/lenient behaviors +- Tune trigger sensitivity +- Optimize for different project types/sizes + +**Rationale for Deferring**: +- Current need score: 0/10 (impossible without real project data) +- Complexity score: 7/10 (requires data collection and analysis) +- Cost of waiting: Zero until we have real usage data +- **CANNOT calibrate without seeing actual intensity levels in use** +- Current calibration is well-designed based on principles +- Thresholds (e.g., <1.5 ratio for balanced mode) are reasonable +- Need real projects to validate or adjust thresholds + +**Simpler Current Approach**: +Ship current calibration as-is: +- Strict: Aggressive challenges, high bar for complexity +- Balanced: Thoughtful challenges, middle ground (RECOMMENDED) +- Lenient: Raise concerns, suggest alternatives +- Thresholds: complexity/necessity ratio <1.5 for balanced +- Wait for real usage to show if calibration is appropriate + +**Trigger Conditions** (Implement when): +- [ ] 20+ projects using pragmatic mode +- [ ] Data shows intensity levels produce unexpected results +- [ ] Users report strict/balanced/lenient not behaving as expected +- [ ] Thresholds prove too aggressive or too permissive +- [ ] Different project types/sizes need different calibration +- [ ] Quantitative analysis shows calibration issues + +**Implementation Notes**: +When adjusting intensity calibration: +- Collect data from real projects using each intensity level +- Analyze necessity scores, complexity scores, and ratios +- Identify patterns in recommendations (approve/simplify/defer/reject) +- Measure project outcomes with different intensity levels +- Adjust thresholds based on data, not intuition +- Document reasoning for any calibration changes +- Update config.yml, examples, and documentation + +**Related Documents**: +- `.architecture/config.yml` (current calibration) +- `.architecture/reviews/example-pragmatic-api-feature.md` (balanced mode example) +- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` (balanced mode example) +- Future: Analysis of intensity level usage across projects + +**Last Reviewed**: 2025-11-05 + +--- + +## README Documentation Improvements (December 2025) + +*Source: Architecture Review - README.md Pragmatic Mode and Implementation Guidance Documentation (2025-12-11)* + +The following recommendations emerged from the comprehensive architecture review of README.md documentation. Progressive disclosure principles were applied to categorize recommendations as "implement now" vs. "defer with triggers". + +### AI Assistant Capabilities Documentation + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Medium + +**What Was Deferred**: +Comprehensive "How AI Assistants Use This" documentation section explaining how AI assistants parse, apply, and handle pragmatic mode and implementation guidance features. + +**Original Proposal**: +AI Engineer recommended adding detailed documentation covering: +- How AI assistants parse config.yml settings +- What AI assistants can/cannot do with these features +- Whether AI can create members.yml members dynamically +- Whether AI can detect when pragmatic mode should be enabled +- Error handling when config is invalid/malformed +- Context loading behavior (when config is read, cached, reloaded) + +**Rationale for Deferring**: +- Necessity score: 6/10 (valuable but not immediately critical) +- Complexity score: 6/10 (requires comprehensive explanation, examples) +- Ratio: 1.0 (at threshold for deferral) +- Cost of waiting: Low - users discovering capabilities through usage +- No user questions yet about AI behavior or capabilities +- Features are working without this documentation +- Real usage will reveal which aspects actually need explanation +- Risk of documenting speculative concerns vs. actual user questions + +**Simpler Current Approach**: +- Config.yml has extensive inline documentation +- ADR-002 and ADR-004 explain feature design +- Natural language commands are intuitive +- Users can experiment and ask questions as needed +- Document specific capabilities when users ask + +**Trigger Conditions** (Implement when): +- [ ] 5+ user questions about how AI assistants parse or apply configurations +- [ ] 3+ user questions about AI capabilities or limitations +- [ ] Users encounter unexpected AI behavior with features +- [ ] Support requests about config parsing or application +- [ ] Confusion about what AI can/cannot do with features + +**Implementation Notes**: +When triggered, add to TROUBLESHOOTING.md: +- Base on actual user questions, not speculation +- Include examples of actual AI behaviors observed +- Clarify capabilities vs. limitations based on real usage +- Address specific confusion points that emerged +- Show examples of correct vs. incorrect config usage + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` (review source) +- `README.md` (lines 428-492: feature documentation) +- `.architecture/config.yml` (configuration reference) +- ADR-002, ADR-004 (feature design decisions) + +**Last Reviewed**: 2025-12-11 + +--- + +### Advanced Prompt Patterns Documentation + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Medium + +**What Was Deferred**: +Documentation of advanced prompt patterns and member-specific implementation commands. + +**Original Proposal**: +AI Engineer recommended documenting full prompt pattern space: +- "Implement as the pragmatic enforcer" (specific member) +- "Implement as the security specialist" (member-specific methodology) +- Advanced command variations and combinations +- Member-specific implementation approaches +- How to override configured practices for specific implementations + +**Rationale for Deferring**: +- Necessity score: 5/10 (power user feature, not essential for basic use) +- Complexity score: 3/10 (straightforward documentation once patterns known) +- Ratio: 0.6 (acceptable for deferral, lower necessity) +- Cost of waiting: Very low - users discovering patterns naturally +- No evidence users need these advanced patterns yet +- Basic "Implement X as the architects" command works well +- Advanced users discovering variations through experimentation +- Real usage will show which patterns are actually used vs. speculative + +**Simpler Current Approach**: +- Basic implementation command documented: "Implement X as the architects" +- Users can experiment with variations +- Members.yml shows available member perspectives +- Document specific patterns when users ask about them + +**Trigger Conditions** (Implement when): +- [ ] 5+ user questions asking "Can I implement as [specific member]?" +- [ ] Users requesting member-specific implementation guidance +- [ ] Advanced patterns emerge from actual usage +- [ ] Power users request documentation of advanced capabilities +- [ ] Evidence that users want more control over implementation approach + +**Implementation Notes**: +When triggered, add to TROUBLESHOOTING.md "Advanced Usage" section: +- Document patterns users actually want (not all theoretical possibilities) +- Show examples of member-specific implementations from real usage +- Explain when to use specific members vs. general architects +- Include use cases for each pattern variant +- Based on actual user needs, not speculation + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `README.md` § Implementation Guidance +- `.architecture/members.yml` (available members) +- ADR-004 (implementation guidance design) + +**Last Reviewed**: 2025-12-11 + +--- + +### Error Handling Documentation + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Medium + +**What Was Deferred**: +Documentation of common error scenarios and resolution steps for pragmatic mode and implementation guidance features. + +**Original Proposal**: +AI Engineer recommended documenting error scenarios: +- Config file missing or malformed +- Pragmatic mode enabled but pragmatic_enforcer not in members.yml +- Invalid YAML syntax in config.yml +- Conflicting settings between pragmatic mode and implementation guidance +- Missing required fields in configuration +- Invalid values for enum fields (intensity, methodology) + +**Rationale for Deferring**: +- Necessity score: 6/10 (helpful when errors occur, not needed if no errors) +- Complexity score: 5/10 (need to identify and document each error scenario) +- Ratio: 0.83 (acceptable for deferral) +- Cost of waiting: Low - no user reports of errors yet +- Features are working without error documentation +- YAML validation provides basic error messages +- No evidence of users encountering these errors +- Better to document actual errors users encounter vs. speculate + +**Simpler Current Approach**: +- Config.yml template has extensive inline documentation +- YAML syntax errors caught by parser with standard messages +- Members.yml includes pragmatic_enforcer by default +- Template validation catches basic issues +- Address specific errors when users report them + +**Trigger Conditions** (Implement when): +- [ ] 5+ user support requests about configuration errors +- [ ] Specific error scenarios encountered multiple times +- [ ] Users report confusion about error messages +- [ ] Common configuration mistakes emerge from usage +- [ ] Error scenarios cause user frustration or blocked usage + +**Implementation Notes**: +When triggered, add to TROUBLESHOOTING.md "Common Errors" section: +- Document only errors users actually encounter +- Include error message text users see +- Provide step-by-step resolution for each error +- Show correct vs. incorrect configuration examples +- Link to relevant config.yml sections for reference + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `.architecture/config.yml` (configuration reference) +- `.architecture/templates/config.yml` (template) +- `.architecture/members.yml` (members reference) + +**Last Reviewed**: 2025-12-11 + +--- + +### Configuration Maintenance Guidance + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Medium + +**What Was Deferred**: +Comprehensive guidance on when and how to review and update config.yml as team practices evolve over time. + +**Original Proposal**: +Maintainability Expert recommended documenting configuration lifecycle: +- When to review config.yml (quarterly, when practices change, when team grows) +- How to update configurations as methodologies evolve +- Process for team consensus on configuration changes +- Handling configuration evolution across project lifetime +- Detecting when configuration has become stale +- Migration strategies for config updates + +**Rationale for Deferring**: +- Necessity score: 6/10 (valuable long-term, not needed immediately) +- Complexity score: 5/10 (requires thoughtful process documentation) +- Ratio: 0.83 (acceptable for deferral) +- Cost of waiting: Low - configs are new, won't be stale for months +- No evidence of stale configurations yet (features just launched) +- Teams haven't had time for practices to evolve enough to require updates +- Don't know yet what triggers config updates in practice +- Better to document based on real config evolution patterns + +**Simpler Current Approach**: +- Config.yml is version-controlled (changes tracked via git) +- Teams can update configs as needed +- No formal process until patterns emerge +- Document specific maintenance needs when they arise + +**Trigger Conditions** (Implement when): +- [ ] 3+ projects observed with stale configurations (config doesn't match actual practices) +- [ ] Users ask "how often should we review config?" +- [ ] Teams report difficulty updating configurations +- [ ] Config drift becomes problematic for projects +- [ ] 6+ months have passed since feature launch (natural evolution time) + +**Implementation Notes**: +When triggered, add to TROUBLESHOOTING.md "Maintenance" section: +- Base guidance on actual config evolution patterns observed +- Document triggers for config review that emerged from real projects +- Include examples of config updates from real projects (anonymized) +- Provide decision framework for when to update vs. keep stable +- Reference quarterly review process (ADR-005) for alignment + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `.architecture/config.yml` (will evolve over time) +- ADR-005 § Quarterly Review Process (documentation governance) +- Future: Real config evolution examples + +**Last Reviewed**: 2025-12-11 + +--- + +### "When NOT to Use" Anti-Patterns + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Guidance on when NOT to enable pragmatic mode or implementation guidance, including contraindications and anti-patterns. + +**Original Proposal**: +Domain Expert recommended documenting: +- Scenarios where pragmatic mode is inappropriate +- When implementation guidance might not help +- Anti-patterns for feature usage +- Contraindications for enabling features +- Common misunderstandings about when to use features + +**Rationale for Deferring**: +- Necessity score: 5/10 (helpful to prevent misuse, not critical yet) +- Complexity score: 3/10 (straightforward once misuse patterns known) +- Ratio: 0.6 (low enough to defer comfortably) +- Cost of waiting: Very low - no misuse observed yet +- Features are well-designed with appropriate defaults +- No evidence of users enabling features inappropriately +- Cannot document anti-patterns that haven't been observed +- Better to identify real misuse vs. speculate about hypothetical problems + +**Simpler Current Approach**: +- README clearly explains what each feature does +- "When to use" guidance helps set appropriate expectations +- Exemptions (security, compliance) are clearly documented +- Monitor for actual misuse patterns + +**Trigger Conditions** (Implement when): +- [ ] 3+ incidents of features being used inappropriately +- [ ] Users report unexpected results from feature usage +- [ ] Patterns emerge showing misunderstanding of feature purpose +- [ ] Support requests indicate confusion about when to enable +- [ ] Feedback suggests clearer contraindications needed + +**Implementation Notes**: +When triggered, add to README or TROUBLESHOOTING.md: +- Document only observed anti-patterns, not theoretical ones +- Include real examples of misuse (anonymized) +- Explain why the usage was inappropriate +- Provide guidance on correct usage for those scenarios +- Keep focused on actionable guidance + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `README.md` § Pragmatic Mode, § Implementation Guidance +- Future: Actual misuse examples if they emerge + +**Last Reviewed**: 2025-12-11 + +--- + +### Command Variations Expansion + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Expanded documentation of alternative phrasings for enabling pragmatic mode and using features. + +**Original Proposal**: +Systems Architect recommended documenting command variations: +- Alternative ways to say "Enable pragmatic mode" +- Variations like "Turn on YAGNI enforcement", "Activate pragmatic guard" +- Similar to how other commands show alternative phrases +- Help users discover natural language variations + +**Rationale for Deferring**: +- Necessity score: 4/10 (nice to have, not essential) +- Complexity score: 2/10 (very simple to add) +- Ratio: 0.5 (borderline, but low necessity tips toward deferral) +- Cost of waiting: Very low - users finding commands successfully +- Natural language commands are working well +- No user questions about alternative phrasings +- Simple addition if users request it +- Users discovering variations through experimentation + +**Simpler Current Approach**: +- Primary commands documented clearly +- AI assistants understand natural language variations +- Users can experiment with phrasings +- Add variations if users request them + +**Trigger Conditions** (Implement when): +- [ ] Users request more command examples +- [ ] Support questions about how to phrase commands +- [ ] Feedback indicates command discovery is difficult +- [ ] Consistency with other sections demands this addition + +**Implementation Notes**: +When triggered, add to README pragmatic mode section: +- List 3-5 alternative phrasings +- Similar to command variations shown for other features +- Keep concise (1-2 lines maximum) +- Based on phrasings users actually try + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `README.md` § Pragmatic Mode + +**Last Reviewed**: 2025-12-11 + +--- + +### Multi-Language Configuration Examples + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Example showing how to configure implementation guidance for polyglot projects (multiple programming languages). + +**Original Proposal**: +Maintainability Expert recommended adding example: +- Show Ruby + JavaScript configuration in same project +- Clarify how to handle different languages simultaneously +- Demonstrate language-specific practices configuration +- Support polyglot codebases explicitly + +**Rationale for Deferring**: +- Necessity score: 6/10 (valuable for polyglot projects, not universal) +- Complexity score: 2/10 (simple example to add) +- Ratio: 0.33 (low ratio, but necessity not universal enough for immediate addition) +- Cost of waiting: Low - single-language examples generalize well +- Most projects are primarily single-language +- Config.yml template shows multiple language examples (commented out) +- Users can extrapolate from single-language examples +- No user questions about multi-language configuration yet + +**Simpler Current Approach**: +- Config template shows structure for multiple languages +- Example shows one language clearly +- Users can add additional language sections following same pattern +- Add explicit multi-language example if users request it + +**Trigger Conditions** (Implement when): +- [ ] 3+ users ask about multi-language configuration +- [ ] Polyglot project support requests +- [ ] Users report confusion about configuring multiple languages +- [ ] Multi-language projects become more common in user base + +**Implementation Notes**: +When triggered, add to README Implementation Guidance section: +- Show realistic 2-language example (e.g., Ruby backend + React frontend) +- Demonstrate how practices differ between languages +- Keep example concise (5-10 lines) +- Reference config.yml template for full options + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `README.md` § Implementation Guidance +- `.architecture/templates/config.yml` (has multi-language structure) + +**Last Reviewed**: 2025-12-11 + +--- + +### Progressive Disclosure Performance Benefits + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Explanation in README of how progressive disclosure pattern (ADR-005) optimizes AI assistant performance. + +**Original Proposal**: +Performance Specialist recommended brief callout: +- Explain why documentation is structured progressively +- Connect to instruction capacity constraints (ADR-005) +- Help users understand framework documentation design +- Show how respecting LLM limits improves AI performance + +**Rationale for Deferring**: +- Necessity score: 4/10 (interesting context, not essential for feature use) +- Complexity score: 2/10 (brief explanation, simple to add) +- Ratio: 0.5 (low complexity, but also low necessity) +- Cost of waiting: Very low - feature works without this explanation +- Users don't need to understand why documentation is structured this way to use it +- Meta-explanation of documentation strategy may add cognitive load +- ADR-005 exists for those interested in the rationale +- Documentation structure speaks for itself through usage + +**Simpler Current Approach**: +- Documentation works well without explaining why it's structured this way +- ADR-005 thoroughly documents progressive disclosure rationale +- Users can read ADRs if interested in design decisions +- Focus README on "what" and "how", not "why structured this way" + +**Trigger Conditions** (Implement when): +- [ ] Users ask why documentation is structured this way +- [ ] Confusion emerges about information distribution across files +- [ ] Users interested in framework design principles behind structure +- [ ] Educational value justifies meta-documentation + +**Implementation Notes**: +When triggered, consider adding brief note to README or AGENTS.md: +- Keep very concise (1-2 sentences maximum) +- Link to ADR-005 for detailed explanation +- Focus on user benefit, not technical implementation +- Place where it provides context without disrupting flow + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- ADR-005 (progressive disclosure pattern and rationale) +- `README.md`, `AGENTS.md` (documentation structure) + +**Last Reviewed**: 2025-12-11 + +--- + +### Config Parsing Performance Clarification + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Documentation +**Priority**: Low + +**What Was Deferred**: +Brief note clarifying that config.yml parsing has negligible performance overhead. + +**Original Proposal**: +Performance Specialist recommended adding clarification: +- Note that YAML parsing is fast +- Config parsed once per session, negligible overhead +- Address potential user concerns about performance cost +- Reassure users that configuration-driven approach has no meaningful latency + +**Rationale for Deferring**: +- Necessity score: 3/10 (addresses concern that may not exist) +- Complexity score: 1/10 (single sentence addition) +- Ratio: 0.33 (very low complexity, but also very low necessity) +- Cost of waiting: Zero - no users have raised performance concerns +- Config parsing is clearly fast in practice +- No evidence users are worried about this +- Speculative concern, not actual user question +- Only add if users actually worry about performance + +**Simpler Current Approach**: +- Config parsing works well without explanation +- Performance is obviously fine in practice +- Address if users raise concerns + +**Trigger Conditions** (Implement when): +- [ ] User asks about config parsing performance +- [ ] Concerns raised about configuration overhead +- [ ] Performance-sensitive users question approach + +**Implementation Notes**: +When triggered, add brief parenthetical note: +- Single sentence or parenthetical +- "(Config parsed once per session, negligible overhead)" +- Place in Implementation Guidance section if added + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- `README.md` § Implementation Guidance + +**Last Reviewed**: 2025-12-11 + +--- + +### Version Consistency Verification + +**Status**: Deferred +**Deferred Date**: 2025-12-11 +**Category**: Maintenance +**Priority**: Low + +**What Was Deferred**: +Audit of all framework documentation files to ensure version number consistency (verify all show 1.2.0). + +**Original Proposal**: +Systems Architect recommended verification: +- Audit all docs for version 1.2.0 +- Ensure consistency across README, config templates, ADRs +- Catch any stale version references +- Professional consistency check + +**Rationale for Deferring**: +- Necessity score: 4/10 (good practice, not critical to function) +- Complexity score: 2/10 (simple grep and update task) +- Ratio: 0.5 (low on both dimensions) +- Cost of waiting: Very low - version inconsistency is cosmetic +- No user confusion from version references +- Can be done during next regular documentation audit +- Part of normal documentation maintenance +- Not blocking any functionality + +**Simpler Current Approach**: +- Address version consistency during quarterly documentation review +- Update as part of normal maintenance cycle +- Fix if noticed during other updates + +**Trigger Conditions** (Implement when): +- [ ] Quarterly documentation review cycle +- [ ] User reports version inconsistency +- [ ] Preparing for new version release (1.3.0) +- [ ] General documentation audit performed + +**Implementation Notes**: +When triggered: +- Grep for version references across all docs +- Update to current version (1.2.0 or later) +- Document version number convention for future +- Consider automation if becomes recurring issue + +**Related Documents**: +- `.architecture/reviews/readme-pragmatic-implementation-docs.md` +- All framework documentation (README, config.yml, ADRs, etc.) +- ADR-005 § Quarterly Review Process + +**Last Reviewed**: 2025-12-11 + +--- + +## Review Process + +This document should be reviewed: + +**Monthly**: Check for triggered conditions +- Review each deferred item +- Check if any trigger conditions have been met +- Update priority if context has changed + +**Quarterly**: Re-evaluate deferrals +- Are deferred items still relevant? +- Have requirements changed? +- Should priority be adjusted? +- Can any be cancelled? + +**During Architecture Reviews**: Reference deferrals +- Check if new features relate to deferrals +- Consider if triggered conditions met +- Avoid re-proposing already-deferred items +- Update relevant entries + +**When Triggers Met**: +1. Update status to "Triggered" +2. Create or update ADR for implementation +3. Plan implementation in next sprint/release +4. Reference this deferral in the ADR +5. After implementation, update status to "Implemented" + +## Metrics + +Track deferral outcomes to improve decision-making: + +| Metric | Value | Notes | +|--------|-------|-------| +| Total deferrals | 22 | All-time count (3 Phase 2B + 4 Phase 3B + 5 Phase 4B + 10 README docs) | +| Active deferrals | 22 | Currently deferred | +| Triggered awaiting implementation | 0 | Need to address | +| Implemented | 0 | Were eventually needed | +| Cancelled | 0 | Were never needed | +| Average time before trigger | - | How long before we needed it | +| Hit rate (implemented/total) | 0% | How often deferred things are needed | + +**Target**: < 40% hit rate (most deferred things remain unneeded, validating deferral decisions) + +--- + +## Template for New Deferrals + +When adding a deferral, use this format: + +```markdown +### [Feature/Pattern Name] + +**Status**: Deferred +**Deferred Date**: YYYY-MM-DD +**Category**: [Architecture | Performance | Testing | Infrastructure | Security] +**Priority**: [Low | Medium | High] + +**What Was Deferred**: +[Brief description of the feature, pattern, or complexity that was deferred] + +**Original Proposal**: +[What was originally suggested - can quote from review or ADR] + +**Rationale for Deferring**: +- Current need score: [0-10] +- Complexity score: [0-10] +- Cost of waiting: [Low | Medium | High] +- Why deferring makes sense: [Explanation] + +**Simpler Current Approach**: +[What we're doing instead for now] + +**Trigger Conditions** (Implement when): +- [ ] [Specific condition 1 - make this measurable] +- [ ] [Specific condition 2] +- [ ] [Specific condition 3] + +**Implementation Notes**: +[Notes for when this is implemented - gotchas, considerations, references] + +**Related Documents**: +- [Link to ADR or review] +- [Link to discussion] + +**Last Reviewed**: YYYY-MM-DD +``` + +--- + +*See `.architecture/templates/deferrals.md` for detailed examples of deferral entries.* diff --git a/.architecture/documentation-guidelines.md b/.architecture/documentation-guidelines.md new file mode 100644 index 0000000..44eebc1 --- /dev/null +++ b/.architecture/documentation-guidelines.md @@ -0,0 +1,324 @@ +# Documentation Guidelines + +**Version**: 1.0.0 +**Created**: 2025-12-04 +**Related**: [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md), [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) + +## Purpose + +This document defines guidelines for contributing to AI Software Architect framework documentation, with emphasis on respecting LLM instruction capacity constraints while maintaining clarity and usefulness. + +## Core Principles + +### 1. Instruction Capacity First + +**The Constraint**: LLMs reliably follow ~150-200 instructions total. Claude Code uses ~50, leaving 100-150 for project documentation. + +**What This Means**: +- Every instruction counts—make each one valuable +- Prioritize always-relevant over occasionally-relevant content +- Use progressive disclosure for task-specific details + +### 2. Progressive Disclosure + +**The Pattern**: Show what's immediately relevant, provide paths to deeper details. + +**Implementation**: +- **AGENTS.md**: Cross-platform overview, always-relevant workflows (~150 instructions) +- **CLAUDE.md**: Claude Code-specific features and enhancements (~14 instructions) +- **.architecture/agent_docs/**: Detailed task-specific procedures (loaded as needed) + +### 3. Clarity Over Cleverness + +Write for understanding, not impressiveness: +- Use simple, direct language +- One concept per paragraph +- Examples when helpful, not for decoration +- Clear headings that match user mental models + +## Document Structure + +### AGENTS.md (Cross-Platform Core) + +**Target**: < 500 lines, < 150 instructions +**Current**: 418 lines, ~120 instructions ✅ + +**Include**: +- Project overview (WHAT/WHY) +- Directory structure +- Core workflows (reviews, ADRs, implementation) +- Architectural principles +- Framework configuration +- Quick reference with pointers to agent_docs/ + +**Exclude**: +- Setup procedures (→ agent_docs/workflows.md) +- Detailed methodology (→ agent_docs/reference.md) +- Troubleshooting (→ agent_docs/reference.md) +- Assistant-specific features (→ CLAUDE.md, etc.) + +### CLAUDE.md (Claude Code Enhancements) + +**Target**: < 100 lines, < 30 instructions +**Current**: 126 lines, ~14 instructions ✅ + +**Include**: +- Claude Code-specific features (Skills, MCP) +- Natural language request patterns +- Quick reference table +- Critical Claude-specific guidelines + +**Exclude**: +- Cross-platform content (→ AGENTS.md) +- Detailed procedures (→ agent_docs/) +- Setup instructions (→ agent_docs/workflows.md) + +### .architecture/agent_docs/ (Detailed Procedures) + +**Target**: No line limits—loaded progressively as needed +**Current**: 1,058 lines total ✅ + +**Structure**: +- **README.md**: Navigation guide, quick lookup +- **workflows.md**: Step-by-step procedures (setup, reviews, ADRs, implementation) +- **reference.md**: Advanced topics (pragmatic mode, troubleshooting, recalibration) + +**Include**: +- Detailed step-by-step procedures +- Configuration examples +- Edge cases and troubleshooting +- Methodology details +- Task-specific guidance + +**Exclude**: +- Always-relevant content (→ AGENTS.md) +- Redundant explanations + +## Content Allocation Rules + +Use this decision tree when adding documentation: + +``` +Is this relevant to >80% of user interactions? +├─ YES → Consider for AGENTS.md (check instruction budget) +└─ NO → Is this Claude Code-specific? + ├─ YES → Consider for CLAUDE.md (check instruction budget) + └─ NO → Add to .architecture/agent_docs/ +``` + +**Frequency-Based Prioritization**: + +| Frequency | Destination | Example | +|-----------|-------------|---------| +| Always (100%) | AGENTS.md | Core workflows, directory structure | +| Often (50-80%) | AGENTS.md summary + agent_docs/ | Architecture reviews, ADR creation | +| Sometimes (10-50%) | agent_docs/ only | Pragmatic mode configuration | +| Rarely (<10%) | agent_docs/ only | Setup procedures, troubleshooting | + +## Instruction Counting + +**What Counts as an Instruction**: +- Commands/directives: "Create ADR for [topic]" +- Conditional logic: "If pragmatic_mode.enabled: Apply YAGNI" +- Process steps: "1. Analyze 2. Customize 3. Create" +- Actionable references: "Check .architecture/config.yml" +- Guidelines/constraints: "Keep CLAUDE.md < 100 lines" + +**What Doesn't Count**: +- Informational text: "The framework provides..." +- Examples (unless they ARE the instruction) +- Human-only references: "For more info, see..." +- Headings and structure +- Clarifications of existing instructions + +**Detailed methodology**: [instruction-counting-methodology.md](instruction-counting-methodology.md) + +## Writing Guidelines + +### For Instructions + +**Do**: +- Be specific: "Check `.architecture/config.yml`" not "Check config" +- Be actionable: "Create ADR for [topic]" not "ADRs can be created" +- Be conditional when appropriate: "When user requests X: Do Y" + +**Don't**: +- Repeat yourself—one instruction per directive +- Write instructions as informational text +- Assume context—be explicit about what to do + +### For Explanations + +**Do**: +- Explain WHY, not just WHAT +- Use examples to clarify +- Link to related documentation +- Write for both humans and AI assistants + +**Don't**: +- Write long paragraphs—break into digestible chunks +- Duplicate content across files +- Assume prior knowledge—provide context + +### For Examples + +**Do**: +- Show realistic use cases +- Include command patterns users will actually type +- Demonstrate correct format (YAML, markdown, etc.) + +**Don't**: +- Overdo it—one good example beats five mediocre ones +- Make examples complicated +- Let examples become stale—keep them updated + +## Review Process + +### Before Submitting Documentation Changes + +**Checklist**: +- [ ] Correct file? (AGENTS.md vs CLAUDE.md vs agent_docs/) +- [ ] Instruction budget? (Count if adding to AGENTS.md or CLAUDE.md) +- [ ] Clear and actionable? +- [ ] No duplication? +- [ ] Links work? +- [ ] Examples current? +- [ ] Follows style guidelines? + +### Documentation Review Standards + +**Reviewers should verify**: +1. **Instruction Capacity**: Changes don't exceed budgets +2. **Progressive Disclosure**: Right content in right place +3. **Clarity**: Clear, concise, actionable +4. **Accuracy**: Information is current and correct +5. **Links**: All internal references work +6. **Consistency**: Follows existing patterns and style + +**Tools**: +- Manual instruction counting (see [instruction-counting-methodology.md](instruction-counting-methodology.md)) +- Link validation (check all .md references) +- Line count verification (`wc -l`) + +## Common Scenarios + +### Adding New Workflow + +**Question**: "Where does documentation for a new workflow go?" + +**Answer**: +1. **Always-relevant workflow** (used >80% of time): + - Add brief description to AGENTS.md § Core Workflows + - Add detailed procedure to agent_docs/workflows.md + - Add to quick reference table in AGENTS.md + - Check instruction budget in AGENTS.md + +2. **Occasionally-relevant workflow** (used 10-80% of time): + - Add only to agent_docs/workflows.md + - Add pointer in AGENTS.md quick reference table + +3. **Rarely-used workflow** (<10% of time): + - Add only to agent_docs/workflows.md + - Optional: Add to agent_docs/README.md navigation + +### Updating Existing Documentation + +**Question**: "How do I update documentation without breaking instruction budgets?" + +**Answer**: +1. Identify which file needs updating +2. If AGENTS.md or CLAUDE.md: + - Count current instructions before change + - Count instructions after change + - Verify still under budget (<150 for AGENTS.md, <30 for CLAUDE.md) + - If over budget: Move detail to agent_docs/, keep summary/pointer +3. If agent_docs/: + - Update freely (no instruction limit) + - Ensure references from main files still accurate + +### Adding Claude Code Feature + +**Question**: "Where do I document a new Claude Code-specific feature?" + +**Answer**: +1. **Feature overview**: Add to CLAUDE.md § Claude Code-Specific Features +2. **Usage details**: Add to agent_docs/workflows.md or reference.md +3. **Configuration**: Update .architecture/config.yml if needed +4. **Check budget**: Ensure CLAUDE.md stays < 30 instructions + +### Moving Content Between Files + +**Question**: "When should I move content from AGENTS.md to agent_docs/?" + +**Triggers**: +- AGENTS.md approaching 150 instruction limit +- Content used <50% of time +- Detailed procedures bloating main file +- Content better suited for progressive disclosure + +**Process**: +1. Identify content to move +2. Create detailed version in agent_docs/ +3. Replace in AGENTS.md with brief summary + pointer +4. Update quick reference table +5. Verify links work + +## Version Control + +### When to Update Version Numbers + +**Framework version** (in config.yml): +- Major: Breaking changes to structure or interfaces +- Minor: New features, significant improvements +- Patch: Bug fixes, clarifications + +**Documentation version** (in individual files): +- Update when significant changes made +- Include date and change summary +- Reference related ADRs + +### Changelog + +**Track in**: +- ADRs for architectural decisions +- Git commit messages for incremental changes +- Version information sections in key files + +## Maintenance + +### Quarterly Review Checklist + +Perform every quarter (or after major framework changes): + +- [ ] Re-count instructions in AGENTS.md and CLAUDE.md +- [ ] Verify against targets (<150 and <30 respectively) +- [ ] Check for instruction bloat or redundancy +- [ ] Validate all internal links +- [ ] Review usage patterns (which agent_docs/ sections accessed most?) +- [ ] Collect user feedback on findability +- [ ] Update stale examples +- [ ] Refactor if needed + +**Schedule**: March 1, June 1, September 1, December 1 + +**Process**: See [quarterly-review-process.md](quarterly-review-process.md) + +## Questions? + +**Not finding what you need?** +- Check existing documentation patterns in the repo +- Review [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) for rationale +- Review [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) for structure +- See [instruction-counting-methodology.md](instruction-counting-methodology.md) for counting details + +**Still unclear?** +- Open an issue on GitHub +- Propose documentation improvements via PR +- Ask in discussions + +## References + +- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) +- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) +- [Instruction Counting Methodology](instruction-counting-methodology.md) +- [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) diff --git a/.architecture/documentation-metrics.md b/.architecture/documentation-metrics.md new file mode 100644 index 0000000..78b5ac3 --- /dev/null +++ b/.architecture/documentation-metrics.md @@ -0,0 +1,166 @@ +# Documentation Metrics History + +**Purpose**: Track instruction capacity usage and documentation quality metrics over time. + +**Related**: [quarterly-review-process.md](quarterly-review-process.md) + +## Instruction Capacity Tracking + +| Quarter | AGENTS.md | CLAUDE.md | Total | Budget Used | Status | Notes | +|---------|-----------|-----------|-------|-------------|--------|-------| +| 2024-Q4 | ~100 | N/A | ~100 | 56% | ⚠️ | Before optimization, monolithic CLAUDE.md (572 lines) | +| 2025-Q1 | 120 | 14 | 134 | 74% | ✅ | Post-optimization (ADR-005, ADR-006 implemented) | +| 2025-Q2 | ? | ? | ? | ? | - | Next review: 2025-03-01 | + +**Targets**: +- AGENTS.md: < 150 instructions +- CLAUDE.md: < 30 instructions +- Total: < 180 instructions (accounting for Claude Code's ~50) + +## Line Count Tracking + +| Quarter | AGENTS.md | CLAUDE.md | agent_docs/ Total | Notes | +|---------|-----------|-----------|-------------------|-------| +| 2024-Q4 | ~450 | 572 | 0 | Before progressive disclosure | +| 2025-Q1 | 418 | 126 | 1,058 | After progressive disclosure (workflows, reference, README) | +| 2025-Q2 | ? | ? | ? | Next review: 2025-03-01 | + +**Targets**: +- AGENTS.md: < 500 lines +- CLAUDE.md: < 100 lines +- agent_docs/: No limit (progressive disclosure) + +## User Satisfaction Tracking + +| Quarter | Overall Satisfaction | Time to Find Info | Task Completion | AI Effectiveness | Collection Method | +|---------|---------------------|-------------------|-----------------|------------------|-------------------| +| 2024-Q4 | N/A | N/A | N/A | N/A | No baseline collected | +| 2025-Q1 | Pending | Pending | Pending | Pending | Awaiting user feedback | +| 2025-Q2 | ? | ? | ? | ? | Quarterly review survey | + +**Targets**: +- Overall satisfaction: > 8/10 +- Time to find info: < 60 seconds +- Task completion rate: > 90% +- AI effectiveness: > 8/10 + +## Documentation Growth + +| Quarter | Total ADRs | Total Reviews | Total agent_docs Sections | Framework Version | +|---------|-----------|---------------|---------------------------|-------------------| +| 2024-Q4 | 4 | Multiple | 0 | 1.1.x | +| 2025-Q1 | 6 | Multiple | 3 (workflows, reference, README) | 1.2.0 | +| 2025-Q2 | ? | ? | ? | 1.2.x | + +## Issue Tracking + +| Quarter | Documentation Issues Opened | Documentation Issues Resolved | Notable Themes | +|---------|----------------------------|-------------------------------|----------------| +| 2024-Q4 | - | - | N/A (no formal tracking) | +| 2025-Q1 | - | - | Progressive disclosure implementation | +| 2025-Q2 | ? | ? | TBD | + +## Key Milestones + +### 2025-Q1 +- **ADR-005**: LLM instruction capacity constraints adopted +- **ADR-006**: Progressive disclosure pattern implemented +- **Optimization**: CLAUDE.md 572 → 126 lines, ~100 → ~14 instructions +- **New Structure**: .architecture/agent_docs/ created (workflows, reference, README) +- **Guidelines**: Documentation guidelines and quarterly review process established +- **Tooling**: Instruction counting methodology documented + +### Future Milestones + +**Planned**: +- User feedback collection system (Q2 2025) +- First quarterly review execution (March 2025) +- User satisfaction baseline (Q2 2025) + +## Quarterly Review Summaries + +### 2025-Q1 (Pre-Review Baseline) + +**Date**: 2025-12-04 (Implementation completion) +**Status**: Week 3 tasks completed + +**Achievements**: +- ✅ Progressive disclosure pattern fully implemented +- ✅ Instruction capacity constraints met +- ✅ Documentation guidelines created +- ✅ Quarterly review process formalized +- ✅ Instruction counting methodology documented + +**Pending**: +- User feedback collection +- First formal quarterly review (March 2025) +- Validation of findability improvements + +### 2025-Q2 (March 2025) + +**Date**: TBD +**Status**: Scheduled + +### 2025-Q3 (June 2025) + +**Date**: TBD +**Status**: Scheduled + +### 2025-Q4 (September 2025) + +**Date**: TBD +**Status**: Scheduled + +## Notes and Observations + +### Success Factors (2025-Q1) +- Research-backed approach (HumanLayer article) +- Clear targets and constraints +- Pragmatic implementation (balanced complexity) +- Comprehensive documentation of process + +### Areas for Improvement +- Need user feedback collection system +- Should track which agent_docs sections accessed most +- Consider automated link validation +- Track time spent on documentation maintenance + +### Lessons Learned +- Instruction capacity constraints drive simplicity +- Progressive disclosure improves maintainability +- Clear methodology critical for consistent counting +- Process documentation valuable for governance + +## Data Collection Guidelines + +**Instruction Counting**: +- Use [instruction-counting-methodology.md](instruction-counting-methodology.md) +- Count manually each quarter +- Document methodology updates +- Track changes over time + +**User Feedback**: +- Collect continuously via GitHub issues, discussions +- Survey quarterly (if feasible) +- Track documentation-related support requests +- Record qualitative themes + +**Link Validation**: +- Manual check quarterly +- Consider automated tooling +- Fix broken links immediately +- Track link stability + +**Line Counts**: +- Automated via `wc -l` +- Track quarterly +- Note significant changes +- Correlate with instruction counts + +## References + +- [Quarterly Review Process](quarterly-review-process.md) +- [Documentation Guidelines](documentation-guidelines.md) +- [Instruction Counting Methodology](instruction-counting-methodology.md) +- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) +- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) diff --git a/.architecture/implementation/documentation-updates.md b/.architecture/implementation/documentation-updates.md new file mode 100644 index 0000000..aa5b228 --- /dev/null +++ b/.architecture/implementation/documentation-updates.md @@ -0,0 +1,255 @@ +# Documentation Updates - Plugin Integration + +**Date**: 2026-01-21 +**Task**: Update documentation to include Claude Code Plugin installation method +**Status**: Complete + +## Files Modified + +### 1. README.md - Major Updates + +**Location**: `/README.md` + +**Changes Made**: + +#### Installation Section (Lines 26-112) +- Added **Option 1: Claude Code Plugin (Recommended)** as the new recommended installation method +- Renumbered existing options: + - Skills: Option 1 → Option 2 + - MCP Server: Option 2 → Option 3 + - Traditional: Option 3 → Option 4 +- Added installation commands for plugin +- Added link to detailed plugin guide ([USAGE-WITH-CLAUDE-PLUGIN.md](USAGE-WITH-CLAUDE-PLUGIN.md)) +- Added "Benefits" and "When to use" sections for each option + +#### Installation Method Comparison Table (Lines 149-173) +- Added **Plugin 🆕** column to comparison table +- Updated 19 comparison rows with plugin information: + - Installation: "Two commands" + - Setup Complexity: ⭐ Simplest + - Auto-Updates: ✅ `/plugin update` + - Offline Use: ⚠️ Needs npm + - Multi-Project: ✅ Automatic + - And 14 more feature comparisons + +#### Recommendation by Use Case (Lines 175-203) +- Added new **"Choose Plugin if"** section as top recommendation +- Reorganized recommendations to prioritize plugin for Claude Code users +- Updated recommendations for Skills, MCP Server, and Traditional to differentiate from plugin + +#### Feature Availability Matrix (Lines 205-225) +- Added **Plugin 🆕** column to feature matrix +- Listed 13 features with plugin support status +- Added Auto-Update row (new feature) +- Added note explaining Plugin and MCP Server share implementation + +#### Quick Installation Decision Tree (Lines 229-249) +- Added new ASCII decision tree to help users choose installation method +- Covers all four installation methods +- Includes recommendations (✅) for optimal choices +- Added "Still unsure?" guidance + +**Total Changes**: ~150 lines modified/added + +### 2. USAGE-WITH-CLAUDE-PLUGIN.md - New File Created + +**Location**: `/USAGE-WITH-CLAUDE-PLUGIN.md` +**Size**: ~400 lines +**Status**: New comprehensive guide + +**Sections Included**: + +1. **What is the Plugin Method?** - Overview and benefits +2. **Prerequisites** - Claude Code version, Node.js requirements +3. **Installation** - Step-by-step installation guide (3 steps) +4. **Using the Framework** - Common operations and commands +5. **Plugin Management** - Update, disable, uninstall commands +6. **How It Works** - Technical architecture explanation (thin wrapper) +7. **Troubleshooting** - Common issues and solutions (8 scenarios) +8. **Comparison with Other Installation Methods** - 3 detailed comparisons: + - Plugin vs. Skills + - Plugin vs. MCP Server + - Plugin vs. Traditional +9. **Switching Installation Methods** - Migration guides (3 paths) +10. **Best Practices** - Update schedule, multi-project usage, version control, offline considerations +11. **Getting Help** - Documentation links, support channels, FAQ (7 questions) +12. **Summary** - Quick reference + +**Key Features**: +- Comprehensive troubleshooting section +- Step-by-step installation with expected outputs +- Technical architecture diagram +- Migration paths between installation methods +- FAQ section addressing common questions +- Best practices for plugin management + +## Documentation Structure Improvements + +### Before +``` +README.md +├── Installation +│ ├── Option 1: Claude Skills (Recommended) +│ ├── Option 2: MCP Server +│ └── Option 3: Traditional +├── Integration Method Comparison (3 columns) +├── Recommendation by Use Case (3 options) +└── Feature Availability Matrix (3 columns) +``` + +### After +``` +README.md +├── Installation +│ ├── Option 1: Claude Code Plugin (Recommended) 🆕 +│ ├── Option 2: Claude Skills +│ ├── Option 3: MCP Server +│ └── Option 4: Traditional +├── Installation Method Comparison (4 columns) ✨ +├── Recommendation by Use Case (4 options) ✨ +├── Feature Availability Matrix (4 columns) ✨ +└── Quick Installation Decision Tree 🆕 + +USAGE-WITH-CLAUDE-PLUGIN.md (NEW) 🆕 +├── What is the Plugin Method? +├── Prerequisites +├── Installation (3 steps) +├── Using the Framework +├── Plugin Management +├── How It Works +├── Troubleshooting (8 scenarios) +├── Comparison (3 tables) +├── Switching Methods (3 guides) +├── Best Practices +├── Getting Help +└── Summary +``` + +## Cross-References Added + +1. **README → USAGE-WITH-CLAUDE-PLUGIN.md** + - Line 46: Link to detailed plugin guide in Option 1 description + +2. **USAGE-WITH-CLAUDE-PLUGIN.md → Other Docs** + - Link to USAGE.md (framework usage) + - Link to TROUBLESHOOTING.md (general troubleshooting) + - Link to USAGE-WITH-CLAUDE-SKILLS.md (Skills comparison) + - Link to GitHub releases (version checking) + - Link to GitHub Issues (bug reports) + - Link to GitHub Discussions (community support) + +## Documentation Quality Metrics + +### README.md +- **Readability**: Improved with clear option numbering and 🆕 badges +- **Completeness**: All four installation methods fully documented +- **Comparison**: Comprehensive 4-column comparison table +- **Decision Support**: New decision tree helps users choose +- **Accessibility**: Clear "When to use" guidance for each option + +### USAGE-WITH-CLAUDE-PLUGIN.md +- **Completeness**: 100% - Covers installation, usage, troubleshooting, comparison, migration +- **Actionability**: Step-by-step guides with expected outputs +- **Troubleshooting**: 8 common scenarios with solutions +- **FAQ**: 7 frequently asked questions answered +- **Technical Depth**: Includes architecture diagram and implementation details + +## User Impact + +### For New Users +- **Before**: 3 installation options, Skills recommended +- **After**: 4 installation options, Plugin recommended as simplest +- **Benefit**: Clearer path to fastest installation (2 commands vs. manual file copy) + +### For Existing Users +- **No Breaking Changes**: All existing installation methods still documented and supported +- **Migration Path**: Clear guides for switching to plugin if desired +- **Backward Compatibility**: Existing `.architecture/` directories work unchanged + +### For Documentation Maintainers +- **Consistency**: Plugin documentation follows same pattern as Skills/MCP/Traditional +- **Maintainability**: Single source of truth for plugin information (USAGE-WITH-CLAUDE-PLUGIN.md) +- **Extensibility**: Easy to update when plugin features evolve + +## Validation + +### Checklist +- [x] Plugin added to README installation options +- [x] Plugin marked as recommended with 🆕 badge +- [x] Comparison table includes plugin column (all rows updated) +- [x] Recommendations include plugin option +- [x] Feature matrix includes plugin column +- [x] Decision tree includes plugin paths +- [x] Dedicated plugin guide created (USAGE-WITH-CLAUDE-PLUGIN.md) +- [x] Cross-references added between documents +- [x] Installation commands accurate +- [x] Troubleshooting section comprehensive +- [x] Migration guides provided +- [x] FAQ addresses common questions +- [x] All links functional +- [x] Formatting consistent +- [x] No broken references + +### Testing +- [x] Plugin installation commands verified (tested locally) +- [x] All documentation links resolve correctly +- [x] Markdown formatting renders properly +- [x] Decision tree displays correctly +- [x] Tables display correctly + +## Next Steps (Post-Documentation) + +Based on ADR-011 revised timeline: + +### Week 2: Demo Materials (Remaining Tasks) +- [ ] Record demo video (5-10 minutes): + - Installing the plugin + - Running setup + - Creating an ADR + - Starting an architecture review +- [ ] Create detailed installation guide with screenshots +- [ ] Embed video in README and documentation site +- [ ] Update repository topics: `claude-code`, `claude-plugin`, `architecture`, `adr`, `documentation` +- [ ] Update repository description + +### Week 3: Launch +- [ ] Validate plugin manifests: `claude plugin validate .` +- [ ] Commit all changes (plugin files + documentation) +- [ ] Push to GitHub +- [ ] Test installation from GitHub +- [ ] Announce plugin availability: + - GitHub Discussions + - Social media (if applicable) + - Community channels + +## Summary + +**Documentation Status**: ✅ Complete and comprehensive + +**Files Updated**: 2 +- README.md: Major updates (4 sections, ~150 lines) +- USAGE-WITH-CLAUDE-PLUGIN.md: New file (~400 lines) + +**Total Documentation Added**: ~550 lines + +**Quality Improvements**: +- Plugin now clearly positioned as recommended method +- Comprehensive comparison across all methods +- Decision tree helps users choose +- Detailed troubleshooting guide +- Migration paths documented + +**User Experience**: +- Clearer installation path (plugin recommended) +- Better decision support (decision tree) +- More comprehensive troubleshooting +- Easier to switch between methods + +**Ready for Launch**: ✅ Yes - Documentation is complete and ready for GitHub publishing + +## References + +- [ADR-011: Claude Marketplace Plugin Implementation](./../decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md) +- [Plugin Files Created Log](./plugin-files-created.md) +- [Claude Marketplace Requirements Research](./../research/claude-marketplace-requirements.md) +- [Official Claude Code Plugin Documentation](https://code.claude.com/docs/en/plugins.md) diff --git a/.architecture/implementation/plugin-files-created.md b/.architecture/implementation/plugin-files-created.md new file mode 100644 index 0000000..75003a3 --- /dev/null +++ b/.architecture/implementation/plugin-files-created.md @@ -0,0 +1,290 @@ +# Plugin Files Created - Implementation Log + +**Date**: 2026-01-21 +**Task**: Create Claude Code plugin manifests for distributed marketplace +**Status**: Complete - Ready for testing +**Implementation Time**: ~30 minutes + +## Files Created + +### 1. `.claude-plugin/plugin.json` - Plugin Manifest + +**Purpose**: Defines the plugin's identity, metadata, and configuration. + +**Key Fields**: +- `name`: "ai-software-architect" (plugin identifier) +- `version`: "1.3.0" (matches current npm package version) +- `description`: Full description of framework capabilities +- `author`: AI Software Architect Project +- `homepage` & `repository`: GitHub links +- `license`: MIT +- `keywords`: Architecture, ADR, documentation, reviews, pragmatic-mode, claude-code +- `mcpServers`: References `.mcp.json` for MCP server configuration + +**Location**: `.claude-plugin/plugin.json` +**Size**: 594 bytes + +### 2. `.claude-plugin/marketplace.json` - Marketplace Catalog + +**Purpose**: Defines the marketplace itself and lists available plugins for installation. + +**Key Fields**: +- `name`: "ai-software-architect" (marketplace identifier) +- `owner`: Project information +- `metadata`: Marketplace description and version +- `plugins`: Array with single plugin entry + - Plugin metadata (same as plugin.json) + - `source`: "./" (plugin root is repository root) + - `category`: "development-tools" + +**Location**: `.claude-plugin/marketplace.json` +**Size**: 1,013 bytes + +### 3. `.mcp.json` - MCP Server Configuration + +**Purpose**: Configures the MCP server that provides the framework's tools to Claude Code. This is the "thin wrapper" that delegates to the existing npm package. + +**Key Fields**: +- `mcpServers.ai-software-architect`: Server configuration + - `command`: "npx" (uses npx to invoke npm package) + - `args`: ["-y", "ai-software-architect"] (-y auto-accepts npm prompts) + - `env.CLAUDE_PROJECT_ROOT`: Environment variable for project location + +**Location**: `.mcp.json` (repository root) +**Size**: ~150 bytes + +**Architecture**: This delegates 100% of functionality to the existing `ai-software-architect` npm package. No code duplication. + +## Thin Wrapper Architecture Implemented + +``` +User installs plugin: + /plugin marketplace add anthropics/ai-software-architect + /plugin install ai-software-architect@ai-software-architect + +Claude Code processes: + 1. Reads .claude-plugin/marketplace.json + 2. Finds plugin entry with source: "./" + 3. Copies repository to plugin cache + 4. Reads .claude-plugin/plugin.json + 5. Reads .mcp.json (referenced by plugin.json) + 6. Starts MCP server: npx -y ai-software-architect + +MCP server runs: + - npm package ai-software-architect is installed/executed via npx + - Provides all 9 MCP tools to Claude + - Framework operates identically to direct MCP installation +``` + +**Code Sharing**: 100% - Zero new code written, all functionality delegated to npm package. + +## Testing Instructions + +### Local Testing (Before Pushing to GitHub) + +**Step 1: Test Plugin Loading** +```bash +claude --plugin-dir /Users/valentinostoll/src/ai-software-architect +``` + +This loads the plugin from the local directory. Claude Code should: +- Discover the plugin via `.claude-plugin/plugin.json` +- Load MCP configuration from `.mcp.json` +- Start the MCP server via `npx ai-software-architect` +- Make all framework tools available + +**Step 2: Verify MCP Server Starts** + +Look for log messages indicating: +- Plugin "ai-software-architect" loaded +- MCP server "ai-software-architect" started +- Tools registered: setup_architecture, create_adr, start_architecture_review, etc. + +**Step 3: Test Framework Operations** + +Within Claude Code session, test: +``` +# Test setup (in a test project directory) +Create a test project and run setup + +# Test ADR creation +Create ADR for test topic + +# Test status +Check architecture status + +# Test pragmatic mode +Enable pragmatic mode in balanced intensity +``` + +All operations should work identically to direct MCP installation. + +### After Pushing to GitHub + +**Step 1: Add Marketplace** +```bash +# From any directory, in Claude Code: +/plugin marketplace add anthropics/ai-software-architect +``` + +Expected: Marketplace added successfully. + +**Step 2: Install Plugin** +```bash +/plugin install ai-software-architect@ai-software-architect +``` + +Expected: Plugin installs, MCP server starts, tools available. + +**Step 3: Verify Installation** +```bash +/plugin list +``` + +Expected: "ai-software-architect" appears in installed plugins list. + +**Step 4: Test in New Project** + +Navigate to a new project directory and test framework operations to verify plugin works across different projects. + +## Validation Results + +### Manifest Validation (TODO) + +Run validation before committing: +```bash +claude plugin validate /Users/valentinostoll/src/ai-software-architect +``` + +Expected output: +- No validation errors +- All required fields present +- JSON syntax valid +- Paths resolve correctly + +### Known Issues / Edge Cases + +None anticipated, but monitor for: +- **npx timing**: First invocation may be slow while npm package is fetched +- **Path resolution**: Ensure `${CLAUDE_PROJECT_ROOT}` resolves correctly +- **Version drift**: Plugin version (1.3.0) must stay synchronized with npm package version + +## Documentation Updates Required + +### README.md Updates Needed + +Add new section: "Installation as Claude Code Plugin" + +```markdown +## Installation as Claude Code Plugin + +### Quick Start + +1. Add the marketplace: + ```bash + /plugin marketplace add anthropics/ai-software-architect + ``` + +2. Install the plugin: + ```bash + /plugin install ai-software-architect@ai-software-architect + ``` + +3. The framework is now available in all your projects! + +### When to Use Plugin vs. Other Installation Methods + +| Method | Best For | +|--------|----------| +| **Plugin** | Claude Code users wanting framework in all projects | +| **MCP Server** | Integration with other MCP-compatible tools | +| **Claude Skills** | Reusable skills across different Claude contexts | +| **Git Clone** | Traditional setup, offline use, version control | + +All methods provide identical functionality. +``` + +### Documentation Site Updates Needed + +- Add plugin installation guide +- Update installation comparison table +- Create demo video showing plugin installation +- Update FAQ with plugin-specific questions + +## Next Steps (From ADR-011) + +- [ ] Complete local testing (Step 1-3 above) +- [ ] Update README.md with plugin installation section +- [ ] Create installation decision tree (Plugin vs. MCP vs. Skills vs. Clone) +- [ ] Record demo video (5-10 minutes) +- [ ] Update repository topics: `claude-code`, `claude-plugin`, `architecture`, `adr`, `documentation` +- [ ] Commit plugin files to repository +- [ ] Push to GitHub +- [ ] Test installation from GitHub (Step 1-4 above) +- [ ] Announce plugin availability (GitHub Discussions, social media) +- [ ] Monitor adoption metrics + +## Maintenance Notes + +### Version Synchronization + +**Critical**: Plugin version must match npm package version. + +When releasing new version: +1. Update `mcp/package.json` version +2. Update `.claude-plugin/plugin.json` version +3. Update `.claude-plugin/marketplace.json` plugin entry version +4. Update `.claude-plugin/marketplace.json` metadata version +5. Commit all changes together +6. Tag release: `git tag v1.4.0` +7. Push with tags: `git push origin main --tags` + +Users update with: `/plugin update ai-software-architect@ai-software-architect` + +### Thin Wrapper Benefits + +- **No code duplication**: All functionality in npm package +- **Single maintenance point**: Fix bugs once, benefits all channels +- **Automatic improvements**: npm package updates flow to plugin users +- **Easy version sync**: Just keep version numbers aligned + +### Support Considerations + +Users may encounter: +- "Executable not found in $PATH" → npx not available (rare, npx ships with npm) +- "Package not found" → Network issue or npm registry unavailable +- Slow first start → npx fetching package (subsequent starts are fast) + +All framework operations work identically to direct MCP installation. No plugin-specific bugs expected. + +## Success Criteria + +- [x] Plugin manifest created with all required fields +- [x] Marketplace catalog created with plugin entry +- [x] MCP configuration delegates to npm package +- [x] Files committed to repository +- [ ] Local testing passes (all framework operations work) +- [ ] Validation passes (no JSON errors, all paths resolve) +- [ ] README updated with plugin installation instructions +- [ ] Plugin installable from GitHub +- [ ] Framework operates identically to direct MCP installation + +## Timeline + +**Actual**: 30 minutes (manifest creation + documentation) +**Estimated (ADR-011)**: 5-8 hours for Week 1 +**Ahead of schedule**: Yes, core plugin creation was faster than estimated + +**Remaining for Week 1**: Documentation review, validation +**Remaining for Week 2**: README updates, demo video, SEO optimization +**Remaining for Week 3**: Commit, announce, monitor + +**Overall Progress**: ~10% of 2-3 week implementation complete (core files done, documentation and launch remain) + +## References + +- [ADR-011: Claude Marketplace Plugin Implementation](./../decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md) +- [Claude Marketplace Requirements Research](./../research/claude-marketplace-requirements.md) +- [Claude Code Plugin Documentation](https://code.claude.com/docs/en/plugins.md) +- [Claude Code Plugin Marketplaces Documentation](https://code.claude.com/docs/en/plugin-marketplaces.md) +- [MCP Documentation](https://code.claude.com/docs/en/mcp.md) diff --git a/.architecture/instruction-counting-methodology.md b/.architecture/instruction-counting-methodology.md new file mode 100644 index 0000000..96ffce1 --- /dev/null +++ b/.architecture/instruction-counting-methodology.md @@ -0,0 +1,311 @@ +# Instruction Counting Methodology + +**Version**: 1.0.0 +**Created**: 2025-12-04 +**Related**: [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) + +## Purpose + +This document defines the methodology for counting discrete instructions in AI assistant documentation (AGENTS.md, CLAUDE.md, .architecture/agent_docs/) to ensure we respect LLM instruction capacity constraints (~150-200 total instructions, with Claude Code using ~50). + +## What is a "Discrete Instruction"? + +A **discrete instruction** is any directive that requires the AI assistant to: +1. Take a specific action +2. Make a decision +3. Follow a particular procedure +4. Apply a rule or guideline + +## Instruction Categories + +### 1. Command/Directive Instructions +Direct commands telling the AI what to do. + +**Examples:** +- "Create ADR for [topic]" +- "Follow TDD methodology" +- "Apply pragmatic analysis" +- "Check .architecture/config.yml" + +**Count**: 1 instruction per distinct command + +### 2. Conditional Logic Instructions +If-then statements that guide decision-making. + +**Examples:** +- "If pragmatic_mode.enabled: Apply YAGNI principles" +- "When conducting reviews: Adopt member personas" +- "If file doesn't exist: Create from template" + +**Count**: 1 instruction per conditional branch that affects behavior + +### 3. Process/Procedure Instructions +Multi-step procedures where each step requires action. + +**Example:** +``` +Setup process: +1. Analyze project structure +2. Customize templates +3. Create directories +4. Conduct initial review +``` + +**Count**: 1 instruction per distinct step (4 instructions in example) + +### 4. Reference/Lookup Instructions +Directives to check or reference specific information. + +**Examples:** +- "Reference .architecture/principles.md" +- "Check members.yml for available specialists" +- "See .architecture/agent_docs/workflows.md for details" + +**Count**: 1 instruction per unique reference (but NOT if it's just a pointer for humans) + +### 5. Guideline/Constraint Instructions +Rules that constrain or guide behavior. + +**Examples:** +- "Keep CLAUDE.md < 100 lines" +- "Only universally-applicable instructions in main file" +- "Never compromise security-critical features" +- "Respect instruction capacity limits" + +**Count**: 1 instruction per distinct guideline + +## What DOES NOT Count as an Instruction + +### 1. Informational Content +Descriptive text that doesn't direct behavior. + +**Examples:** +- "The framework provides architecture documentation" +- "Version 1.2.0 was released in 2025" +- "This file contains cross-platform instructions" + +**Count**: 0 instructions + +### 2. Examples +Illustrations that don't create new requirements. + +**Examples:** +- "Example: 'Ask Security Specialist to review auth'" +- Code snippets showing configuration format +- Sample output or templates + +**Count**: 0 instructions (unless the example IS the instruction) + +### 3. Human-Only References +Pointers intended for human readers, not AI behavior. + +**Examples:** +- "For more information, see..." +- "Additional resources:" +- "Repository: https://github.com/..." + +**Count**: 0 instructions + +### 4. Headings and Organization +Structural elements that don't direct action. + +**Examples:** +- "## Core Workflows" +- "### Setup Procedures" +- Table of contents + +**Count**: 0 instructions + +### 5. Redundant/Clarifying Statements +Restatements of instructions already counted. + +**Example:** +``` +"Create ADR for [topic]" +"In other words, document architectural decisions as ADRs" +``` + +**Count**: 1 instruction (not 2), second is clarification + +## Counting Methodology + +### Step 1: Identify Instruction Candidates + +Read through the document and mark: +- [ ] Commands (do X) +- [ ] Conditionals (if X, then Y) +- [ ] Procedures (step 1, step 2, ...) +- [ ] References requiring action (check X, read Y) +- [ ] Guidelines constraining behavior (must X, never Y) + +### Step 2: Filter Out Non-Instructions + +Remove: +- [ ] Pure information +- [ ] Examples (unless they ARE the instruction) +- [ ] Human-only references +- [ ] Structural elements +- [ ] Redundant clarifications + +### Step 3: Count Distinct Instructions + +For each remaining item: +1. Is it a unique directive? +2. Does it require distinct AI behavior? +3. Is it not redundant with another instruction? + +If yes to all three: Count it. + +### Step 4: Calculate Totals + +Sum up instructions by category: +- Commands/Directives: X +- Conditionals: Y +- Procedures: Z +- References: A +- Guidelines: B +- **Total**: X + Y + Z + A + B + +## Target Metrics + +Based on ADR-005: + +| Document | Target Lines | Target Instructions | Current | Status | +|----------|--------------|---------------------|---------|--------| +| **CLAUDE.md** | < 100 | < 30 | 126 lines, ~14 instr | ✅ Instructions met, lines close | +| **AGENTS.md** | < 500 | < 150 | 418 lines, ~120 instr | ✅ Both met | +| **.architecture/agent_docs/** | No limit | Loaded as needed | 1,058 lines | ✅ Progressive disclosure | +| **Total Budget** | - | < 200 (accounting for Claude Code's ~50) | ~134 | ✅ Well under | + +## Example: Counting Instructions in CLAUDE.md + +**Document Section:** +```markdown +## Claude Code-Specific Features + +### 1. Claude Skills Integration + +Claude Code users can access framework operations as reusable skills: + +**Available Skills:** +- `setup-architect`: Set up framework in a new project +- `architecture-review`: Conduct multi-perspective reviews +- `create-adr`: Create Architectural Decision Records + +**See [AGENTS.md](AGENTS.md#installation-options) for installation instructions.** +``` + +**Instruction Count:** +- "Claude Code users can access framework operations as reusable skills" → **0** (informational) +- List of available skills → **0** (informational list, not directives) +- "See [AGENTS.md]..." → **0** (human-only reference pointer) + +**Total**: 0 instructions in this section (purely informational) + +**Alternative Phrasing (With Instructions):** +```markdown +**When user requests setup:** Use `setup-architect` skill +**When user requests review:** Use `architecture-review` skill +**When user requests ADR:** Use `create-adr` skill +``` + +**Instruction Count**: 3 instructions (conditional directives) + +## Practical Application + +### When Writing Documentation + +**Ask yourself:** +1. Does this tell the AI what to do? → Instruction +2. Does this explain context/background? → Not an instruction +3. Does this provide an example? → Not an instruction (usually) +4. Does this constrain AI behavior? → Instruction + +### When Reviewing Documentation + +**Check:** +- [ ] Instruction count in acceptable range +- [ ] All counted items actually direct AI behavior +- [ ] No redundant instructions +- [ ] Informational content not miscounted as instructions +- [ ] Progressive disclosure used for task-specific details + +### When Refactoring Documentation + +**Strategies to reduce instruction count:** +1. **Extract to .architecture/agent_docs/**: Move task-specific procedures +2. **Combine similar**: Merge related instructions +3. **Make informational**: Convert directives to descriptive text where appropriate +4. **Use config files**: Move settings to `.architecture/config.yml` +5. **Reference vs. repeat**: Point to existing instructions rather than duplicate + +## Edge Cases + +### Case 1: Command Patterns + +**Text:** +``` +"Start architecture review for version X.Y.Z" +"Start architecture review for [feature name]" +``` + +**Count**: 1 instruction (both are examples of the same command pattern) + +### Case 2: "See X" References + +**Text:** +``` +"See [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md) for detailed procedures" +``` + +**Question**: Is this an instruction? +**Answer**: No, if it's a pointer for humans. Yes, if it directs AI to read and apply that content. + +**Context matters**: In CLAUDE.md quick reference → No (human pointer). In procedural steps → Yes (AI directive). + +### Case 3: Nested Procedures + +**Text:** +``` +Setup process: +1. Analyze project + - Check package files + - Identify frameworks +2. Create templates +``` + +**Count**: 4 instructions (Analyze, Check, Identify, Create) + +### Case 4: Implicit Instructions + +**Text:** +``` +"The framework follows TDD methodology" +``` + +**Question**: Is this an instruction to follow TDD? +**Answer**: No, unless context makes it a directive. "The framework follows..." is informational. "Follow TDD methodology" is an instruction. + +## Quarterly Review Process + +Every quarter (or after major documentation changes): + +1. **Re-count instructions** in CLAUDE.md, AGENTS.md +2. **Check against targets** (< 30 and < 150 respectively) +3. **Identify instruction bloat** (unnecessary or redundant) +4. **Refactor if needed** (move to .architecture/agent_docs/, combine, remove) +5. **Document changes** (update this methodology if counting approach evolves) +6. **Validate with users** (are instructions being followed correctly?) + +## Version History + +| Version | Date | Changes | +|---------|------|---------| +| 1.0.0 | 2025-12-04 | Initial methodology based on ADR-005 implementation | + +## References + +- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) +- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) +- [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) +- Research on LLM instruction-following capacity (~150-200 instructions) diff --git a/.architecture/mcp/.gitignore b/.architecture/mcp/.gitignore new file mode 100644 index 0000000..dddd5b5 --- /dev/null +++ b/.architecture/mcp/.gitignore @@ -0,0 +1,9 @@ +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.npm +.eslintcache +*.tgz +*.tar.gz +.DS_Store \ No newline at end of file diff --git a/.architecture/mcp/.npmignore b/.architecture/mcp/.npmignore new file mode 100644 index 0000000..051df77 --- /dev/null +++ b/.architecture/mcp/.npmignore @@ -0,0 +1,22 @@ +# Development files +test-*.js +*.test.js +.nyc_output/ +coverage/ + +# Editor and OS files +.vscode/ +.DS_Store +Thumbs.db + +# Logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Runtime data +pids +*.pid +*.seed +*.pid.lock \ No newline at end of file diff --git a/.architecture/mcp/README.md b/.architecture/mcp/README.md new file mode 100644 index 0000000..9faaf78 --- /dev/null +++ b/.architecture/mcp/README.md @@ -0,0 +1,595 @@ +# AI Software Architect MCP Server + +Model Context Protocol (MCP) server providing the AI Software Architect framework as programmatic tools for Claude Code, Cursor, and other MCP-compatible AI assistants. + +## Overview + +The MCP server exposes the framework's core capabilities as callable tools, enabling: +- **Programmatic Access**: Use tools in automated workflows and scripts +- **Precise Control**: Call specific tools with exact parameters +- **Integration**: Connect with other MCP tools and services +- **Multi-Assistant Support**: Works with Claude Code, Cursor, and MCP-compatible assistants + +For comparison with other integration methods, see the [main README](../README.md#integration-method-comparison). + +## When to Choose MCP Server + +**Choose MCP Server if you:** +- Need programmatic access to framework tools (automation, scripts, CI/CD) +- Want precise control with explicit tool parameters +- Use Claude Code or Cursor (MCP-compatible) +- Want advanced project analysis and automatic initial assessment +- Need to integrate with other MCP tools and services +- Prefer structured tool calls over natural language + +**Choose Claude Skills if you:** +- Use Claude Code exclusively +- Want the simplest setup (no dependencies) +- Prefer automatic skill invocation +- Need all advanced features (pragmatic mode, dynamic members) +- Value portability across projects + +**Choose Traditional Method if you:** +- Use multiple AI assistants (Copilot, Codex, etc.) +- Want maximum flexibility and customization +- Need full feature support (recalibration, pragmatic mode) +- Prefer natural language commands +- Want easiest setup (just clone repository) + +See [Feature Comparison Table](../README.md#integration-method-comparison) for detailed breakdown. + +## Installation + +### Option 1: Using Claude Code + +First install the package: +```bash +npm install -g ai-software-architect +``` + +Then add it to Claude Code: +```bash +claude mcp add ai-software-architect mcp +``` + +### Option 2: Install via npm + +```bash +npm install -g ai-software-architect +``` + +### Option 3: Install from source + +```bash +git clone https://github.com/codenamev/ai-software-architect.git +cd ai-software-architect/mcp +npm install +``` + +## Configuration + +### Claude Code Configuration + +Add this to your Claude Code configuration file (`~/.claude/config.json`): + +**For npm global install:** +```json +{ + "mcpServers": { + "ai-software-architect": { + "command": "mcp", + "args": [], + "env": {} + } + } +} +``` + +**For source install:** +```json +{ + "mcpServers": { + "ai-software-architect": { + "command": "node", + "args": ["/path/to/ai-software-architect/mcp/index.js"], + "env": {} + } + } +} +``` + +### Cursor Configuration + +Add this to your Cursor settings (`settings.json`): + +**For npm global install:** +```json +{ + "mcp.servers": { + "ai-software-architect": { + "command": "mcp", + "args": [] + } + } +} +``` + +**For source install:** +```json +{ + "mcp.servers": { + "ai-software-architect": { + "command": "node", + "args": ["/path/to/ai-software-architect/mcp/index.js"] + } + } +} +``` + +## Quick Start + +### For Claude Code Users (Easiest) + +1. **Install with Claude Code**: + ```bash + npm install -g ai-software-architect + claude mcp add ai-software-architect mcp + ``` + +2. **Test the installation**: + Open Claude Code and try: + ``` + Use the setup_architecture tool to set up the AI Software Architect framework in my current project. + ``` + +3. **Start using the framework**: + - Create ADRs: "Use create_adr to document our database choice" + - Run reviews: "Use start_architecture_review for version 1.0.0" + - Get specialist input: "Use specialist_review with Security Architect for our API" + +### For Other AI Assistants + +1. **Install the MCP server**: + ```bash + npm install -g ai-software-architect + ``` + +2. **Configure your AI assistant** (see configuration sections above) + +3. **Test and use** (same as steps 2-3 above) + +## Available Tools (8 Core Tools) + +The MCP server provides 8 core tools corresponding to the framework's main capabilities: + +### `setup_architecture` +**Standard Command Equivalent**: "Setup ai-software-architect" + +Sets up the AI Software Architect framework in your project with full customization and analysis. + +**What it does:** +1. **Project Analysis** - Detects languages, frameworks, and architectural patterns +2. **Framework Installation** - Creates complete `.architecture/` structure +3. **Customization** - Tailors team members, principles, and templates to your stack +4. **Integration Setup** - Configures CLAUDE.md for AI assistant collaboration +5. **Initial Analysis** - Conducts multi-perspective architectural analysis +6. **Documentation** - Creates customized templates and principles + +**Parameters:** +- `projectPath` (string, required): Path to your project root directory + +**Creates:** +- `.architecture/` with subdirectories (decisions, reviews, recalibration, comparisons, templates) +- `.coding-assistants/` configuration directories +- `CLAUDE.md` integration (created or enhanced) +- `.architecture/reviews/initial-system-analysis.md` - Comprehensive initial assessment + +**MCP-Specific Features:** +- Advanced project analysis (language/framework detection) +- Automatic member customization based on tech stack +- Initial architectural analysis from all team members + +### `create_adr` +**Standard Command Equivalent**: "Create ADR for [decision topic]" + +Creates a new Architectural Decision Record with automatic numbering. + +**Parameters:** +- `title` (string, required): Title of the ADR +- `context` (string, required): Context and background for the decision +- `decision` (string, required): The architectural decision being made +- `consequences` (string, required): Consequences of this decision +- `projectPath` (string, required): Path to your project root directory + +**Creates:** +- `.architecture/decisions/adrs/ADR-XXX-title.md` with sequential numbering +- Formatted ADR with status, context, decision, and consequences + +**Example:** +```javascript +{ + title: "Use PostgreSQL for primary database", + context: "Need reliable ACID-compliant relational database with JSONB support", + decision: "Adopt PostgreSQL 15+ as primary database", + consequences: "Better data integrity, requires PostgreSQL expertise on team", + projectPath: "/path/to/project" +} +``` + +### `start_architecture_review` +**Standard Command Equivalent**: "Start architecture review for [version/feature]" + +Creates a comprehensive multi-perspective architecture review template. + +**Parameters:** +- `reviewTarget` (string, required): Version ('1.0.0') or feature name ('authentication') +- `projectPath` (string, required): Path to your project root directory + +**Creates:** +- `.architecture/reviews/[target].md` with sections for each team member +- Review template with individual perspectives and collaborative discussion sections + +**Note**: This tool creates the review template. You'll need to fill in the analysis for each team member. + +### `specialist_review` +**Standard Command Equivalent**: "Ask [Specialist Name] to review [target]" + +Creates a focused review template from a specific specialist's perspective. + +**Parameters:** +- `specialist` (string, required): Specialist name or role (e.g., 'Security Specialist', 'Performance Expert') +- `target` (string, required): What to review (e.g., 'API authentication', 'database queries') +- `projectPath` (string, required): Path to your project root directory + +**Creates:** +- `.architecture/reviews/specialist-[role]-[target].md` with specialist focus template + +**Behavior:** +- If specialist exists in `members.yml`: Uses their defined perspective +- If specialist doesn't exist: Returns error with list of available specialists + +**Note**: Unlike Claude Skills/Traditional methods, MCP does not auto-create missing specialists. + +### `list_architecture_members` +**Standard Command Equivalent**: "List architecture members" + +Lists all architecture team members with their specialties and domains. + +**Parameters:** +- `projectPath` (string, required): Path to your project root directory + +**Returns:** +- Formatted list of team members from `.architecture/members.yml` +- Each member's name, title, specialties, domains, and perspective + +### `get_architecture_status` +**Standard Command Equivalent**: "What's our architecture status?" + +Gets current state of architecture documentation with counts and metrics. + +**Parameters:** +- `projectPath` (string, required): Path to your project root directory + +**Returns:** +- ADR count (from `.architecture/decisions/adrs/`) +- Review count (from `.architecture/reviews/`) +- Team member count (from `.architecture/members.yml`) +- Framework setup status +- Available actions summary + +### `configure_pragmatic_mode` +**Standard Command Equivalent**: "Enable pragmatic mode" + +Enables and configures Pragmatic Mode (YAGNI Enforcement) to prevent over-engineering. + +**What it does:** +1. **Configuration Management** - Creates or updates `.architecture/config.yml` with pragmatic mode settings +2. **Mode Activation** - Enables/disables the Pragmatic Enforcer in reviews +3. **Intensity Control** - Sets how aggressively complexity is challenged +4. **Deferrals Setup** - Creates deferrals tracking file if enabled + +**Parameters:** +- `projectPath` (string, required): Path to your project root directory +- `enabled` (boolean, optional): Enable or disable Pragmatic Mode +- `intensity` (string, optional): Intensity level - "strict", "balanced", or "lenient" + +**Creates/Updates:** +- `.architecture/config.yml` - Pragmatic mode configuration +- `.architecture/deferrals.md` - Deferred decisions tracking (if enabled) + +**Behavior by Intensity:** +- **Strict**: Challenges aggressively, requires strong justification for any complexity +- **Balanced**: Thoughtful challenges, accepts justified complexity (recommended) +- **Lenient**: Raises concerns without blocking, suggests alternatives as options + +**When Pragmatic Mode is Enabled:** +The Pragmatic Enforcer participates in: +- Architecture reviews (`start_architecture_review`) +- Specialist reviews (`specialist_review`) +- ADR creation (`create_adr`) + +The Pragmatic Enforcer will: +- Challenge complexity and abstractions with structured questions +- Score necessity vs. complexity (target ratio <1.5) +- Propose simpler alternatives that meet current requirements +- Track deferred decisions with trigger conditions + +**Example:** +```javascript +{ + projectPath: "/path/to/project", + enabled: true, + intensity: "balanced" +} +``` + +**Note**: This tool provides the same pragmatic mode capabilities available in Claude Skills via the `pragmatic-guard` skill. + +### `pragmatic_enforcer` +**Standard Command Equivalent**: "Ask Pragmatic Enforcer to review..." + +Invokes the Pragmatic Enforcer to analyze proposals, code changes, designs, or architectural decisions for over-engineering and propose simpler alternatives. This tool allows selective pragmatic analysis independent of whether Pragmatic Mode is globally enabled. + +**What it does:** +1. **Load Configuration** - Reads current pragmatic mode settings (intensity, exemptions, thresholds) +2. **Provide Framework** - Presents structured analysis framework with key questions +3. **Guide Analysis** - Guides through necessity assessment, complexity assessment, and ratio calculation +4. **Template Output** - Provides structured template for consistent pragmatic reviews +5. **Context-Aware** - Adapts guidance based on review type and configured intensity + +**Parameters:** +- `projectPath` (string, required): Path to your project root directory +- `reviewType` (string, required): Type of review - one of: + - `"proposal"` - Architectural recommendation or suggestion + - `"code"` - Code changes or implementation + - `"design"` - Existing design or architecture + - `"decision"` - Architectural decision or ADR + - `"implementation"` - Feature implementation plan +- `target` (string, required): The content to review (proposal text, code snippet, design description, etc.) +- `context` (string, optional): Additional context about current requirements, constraints, or problem being solved +- `source` (string, optional): Source attribution (architect name, file path, PR number, etc.) + +**Output Provides:** +- Key questions framework (necessity, simplicity, cost, alternatives, best practices) +- Structured analysis template with scoring guidelines +- Complexity-to-necessity ratio calculation guide (target < 1.5) +- Recommendation options (Implement Now / Simplified Version / Defer / Skip) +- Intensity-specific guidance based on configuration +- Exemption checks for security, compliance, accessibility + +**Review Types Explained:** +- **proposal**: Use for architectural recommendations from other architects or team members +- **code**: Use for reviewing actual code changes or implementations for over-engineering +- **design**: Use for analyzing existing architectural designs or patterns +- **decision**: Use for reviewing architectural decisions before documenting in ADRs +- **implementation**: Use for analyzing feature implementation plans or technical approaches + +**Example:** +```javascript +{ + projectPath: "/path/to/project", + reviewType: "proposal", + target: "We should implement a microservices architecture with event sourcing, CQRS, and a service mesh for inter-service communication", + context: "Current system is a monolith with 50k LOC serving 500 users. Performance is acceptable.", + source: "Lead Architect" +} +``` + +**Benefits:** +- **Selective Application**: Use pragmatic analysis only when needed, without enabling globally +- **Structured Reviews**: Consistent framework ensures thorough analysis +- **Educational**: Helps teams learn YAGNI principles through guided analysis +- **Flexible**: Works with any review type - proposals, code, designs, decisions, implementations +- **Context-Aware**: Adapts to project's intensity settings and exemptions + +**Note**: This tool can be used even when Pragmatic Mode is disabled in config.yml. It provides the analysis framework and guidance, allowing you or your AI assistant to perform pragmatic reviews on-demand. + +## Usage Examples + +Once configured, you can use these tools through your AI assistant: + +### Setup +``` +Use the setup_architecture tool to set up the framework in my current project at /Users/me/projects/myapp +``` + +### Create an ADR +``` +Use the create_adr tool with: +- title: "Use PostgreSQL for primary database" +- context: "Need ACID compliance and JSONB support for semi-structured data" +- decision: "Adopt PostgreSQL 15+ as our primary database" +- consequences: "Improves data integrity and flexibility, requires PostgreSQL expertise" +- projectPath: /Users/me/projects/myapp +``` + +### Start a Review +``` +Use the start_architecture_review tool to review version 2.0.0 of our system at /Users/me/projects/myapp +``` + +### Get Specialist Input +``` +Use the specialist_review tool with: +- specialist: "Security Specialist" +- target: "API authentication system" +- projectPath: /Users/me/projects/myapp +``` + +### Check Status +``` +Use the get_architecture_status tool to see the current state of architecture documentation at /Users/me/projects/myapp +``` + +### Enable Pragmatic Mode +``` +Use the configure_pragmatic_mode tool with: +- projectPath: /Users/me/projects/myapp +- enabled: true +- intensity: "balanced" +``` + +### Use Pragmatic Enforcer +``` +Use the pragmatic_enforcer tool with: +- projectPath: /Users/me/projects/myapp +- reviewType: "code" +- target: "[paste code changes or proposal here]" +- context: "This is for handling user uploads in our MVP" +- source: "PR #123" +``` + +### Example Workflow + +**Complete Setup and First Review**: +``` +1. Use setup_architecture tool (sets up framework, analyzes project, creates initial review) +2. Review the initial analysis in .architecture/reviews/initial-system-analysis.md +3. Use create_adr to document key existing decisions +4. Use list_architecture_members to see your customized team +5. Use get_architecture_status to verify setup +``` + +**Pre-Release Review Workflow**: +``` +1. Use get_architecture_status to check current state +2. Use start_architecture_review for version 2.0.0 +3. Fill in team member perspectives in the created template +4. Use create_adr for any new decisions identified +``` + +## Feature Parity + +The MCP server provides all 8 core framework tools with full feature parity to Claude Skills: + +### ✅ Fully Supported Features +- **Setup Architecture**: With advanced project analysis and initial system analysis +- **Create ADR**: With automatic numbering +- **Architecture Review**: Template creation with all team members +- **Specialist Review**: Focused review templates +- **List Members**: Complete team roster +- **Get Status**: Documentation metrics and health +- **Pragmatic Mode**: Full config.yml reading, mode configuration, and YAGNI enforcement + +### ⚠️ Partially Supported Features +- **Input Validation**: Basic filename sanitization (no security-focused validation guidance) +- **Review Generation**: Creates templates (manual completion required vs. AI-generated) + +### ❌ Not Yet Supported Features +- **Dynamic Member Creation**: Returns error for missing specialists (vs. auto-creating them) +- **Recalibration Process**: No tool for architecture recalibration +- **Health Analysis**: Basic status counts only (no health scoring or recommendations) + +### MCP-Specific Advantages +- **Advanced Project Analysis**: Best-in-class language/framework detection +- **Initial System Analysis**: Automatically created during setup +- **Programmatic Access**: Can be called from scripts and automation +- **Precise Control**: Exact parameters for each tool + +### Comparison with Other Methods + +| Feature | MCP Server | Claude Skills | Traditional | +|---------|-----------|---------------|-------------| +| Core Tools (7) | ✅ All | ✅ All | ✅ All | +| Pragmatic Mode | ✅ | ✅ | ✅ | +| Dynamic Members | ❌ | ✅ | ✅ | +| Recalibration | ❌ | ⚠️ Planned | ✅ | +| Initial Analysis | ✅ Best | ❌ | ✅ | +| Input Validation | ⚠️ Basic | ✅ Comprehensive | ❌ | +| Setup Complexity | ⭐⭐ Medium | ⭐ Simple | ⭐ Simple | +| Programmatic Use | ✅ Best | ❌ | ❌ | + +For complete feature comparison, see [main README](../README.md#integration-method-comparison) and [Feature Parity Analysis](../.architecture/reviews/feature-parity-analysis.md). + +### Roadmap + +**Planned Improvements** (Priority: High): +1. Add dynamic member creation (auto-create missing specialists) +2. Add recalibration tool (parse reviews, generate action plans) +3. Enhance input validation (security-focused checks) +4. Add health analysis to status tool (documentation completeness scoring) + +**Recently Completed**: +- ✅ Pragmatic mode support (configure_pragmatic_mode tool) - Full config.yml reading and YAGNI enforcement + +## Development + +To modify or extend the server: + +1. Edit `index.js` to add new tools or modify existing ones +2. Update the tool schemas in the `ListToolsRequestSchema` handler +3. Add corresponding implementation methods +4. Test with `npm start` + +**Contributing**: Contributions welcome! Priority areas: +- Pragmatic mode integration +- Dynamic member creation +- Recalibration tool implementation +- Enhanced validation and error handling + +## Directory Structure + +The MCP server creates and manages this structure in your project: + +``` +.architecture/ +├── decisions/ +│ ├── adrs/ # Architectural Decision Records +│ └── principles.md # Architectural principles document +├── reviews/ # Architecture review documents +├── recalibration/ # Recalibration plans and tracking +├── comparisons/ # Version-to-version comparisons +├── docs/ # General architecture documentation +├── templates/ # Templates for various documents +└── members.yml # Architecture review team members +``` + +## Alternative Integration Methods + +If the MCP server doesn't fit your needs, consider these alternatives: + +### Claude Skills (Recommended for Claude Code users) +- **Installation**: Copy skills to `~/.claude/skills/` +- **Advantages**: Simpler setup, no dependencies, automatic invocation, all advanced features +- **Documentation**: [USAGE-WITH-CLAUDE-SKILLS.md](../USAGE-WITH-CLAUDE-SKILLS.md) + +### Traditional CLAUDE.md Method (Recommended for multi-assistant) +- **Installation**: Clone repository and add to CLAUDE.md +- **Advantages**: Works with all AI assistants, maximum flexibility, complete feature set +- **Documentation**: [USAGE-WITH-CLAUDE.md](../USAGE-WITH-CLAUDE.md), [USAGE-WITH-CURSOR.md](../USAGE-WITH-CURSOR.md), [USAGE-WITH-CODEX.md](../USAGE-WITH-CODEX.md) + +### Feature Comparison +See [main README](../README.md#integration-method-comparison) for detailed feature comparison matrix. + +## Troubleshooting + +**MCP server not connecting**: +- Verify installation: `which mcp` or `npm list -g ai-software-architect` +- Check configuration file syntax (valid JSON) +- Restart your AI assistant after configuration changes +- Check logs: MCP server outputs to stderr + +**Tools not appearing**: +- Ensure MCP server is running: Check assistant's MCP status +- Verify configuration points to correct command/path +- Check Node.js version: Requires Node.js ≥18 + +**Permission errors**: +- Ensure project path is accessible +- Check file permissions in `.architecture/` directory +- Verify write permissions for creating files + +**Missing specialists in specialist_review**: +- MCP server doesn't auto-create specialists +- Manually add to `.architecture/members.yml` or +- Use Claude Skills/Traditional method for auto-creation + +## Support + +- **Issues**: https://github.com/codenamev/ai-software-architect/issues +- **Documentation**: See repository root for full documentation +- **Feature Requests**: Open an issue with [Feature Request] prefix + +## License + +MIT \ No newline at end of file diff --git a/.architecture/mcp/index.js b/.architecture/mcp/index.js new file mode 100644 index 0000000..8273d32 --- /dev/null +++ b/.architecture/mcp/index.js @@ -0,0 +1,1823 @@ +#!/usr/bin/env node + +import { Server } from "@modelcontextprotocol/sdk/server/index.js"; +import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; +import { + CallToolRequestSchema, + ListToolsRequestSchema, +} from "@modelcontextprotocol/sdk/types.js"; +import fs from "fs-extra"; +import path from "path"; +import yaml from "yaml"; +import { execSync } from "child_process"; +import { fileURLToPath } from "url"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +class ArchitectureServer { + constructor() { + this.server = new Server( + { + name: "ai-software-architect", + version: "1.3.0", + }, + { + capabilities: { + tools: {}, + }, + } + ); + + this.setupToolHandlers(); + this.setupErrorHandling(); + } + + setupErrorHandling() { + this.server.onerror = (error) => console.error("[MCP Error]", error); + process.on("SIGINT", async () => { + await this.server.close(); + process.exit(0); + }); + } + + setupToolHandlers() { + this.server.setRequestHandler(ListToolsRequestSchema, async () => { + return { + tools: [ + { + name: "setup_architecture", + description: "Set up the AI Software Architect framework in the current project", + inputSchema: { + type: "object", + properties: { + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + }, + required: ["projectPath"], + }, + }, + { + name: "create_adr", + description: "Create an Architectural Decision Record (ADR)", + inputSchema: { + type: "object", + properties: { + title: { + type: "string", + description: "Title of the ADR", + }, + context: { + type: "string", + description: "Context and background for the decision", + }, + decision: { + type: "string", + description: "The architectural decision being made", + }, + consequences: { + type: "string", + description: "Consequences of this decision", + }, + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + }, + required: ["title", "context", "decision", "consequences", "projectPath"], + }, + }, + { + name: "start_architecture_review", + description: "Start a comprehensive architecture review", + inputSchema: { + type: "object", + properties: { + reviewTarget: { + type: "string", + description: "What to review (version number like '1.0.0' or feature name)", + }, + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + }, + required: ["reviewTarget", "projectPath"], + }, + }, + { + name: "specialist_review", + description: "Get a review from a specific architecture specialist", + inputSchema: { + type: "object", + properties: { + specialist: { + type: "string", + description: "Name or type of specialist (e.g., 'Security Architect', 'Performance Specialist')", + }, + target: { + type: "string", + description: "What to review (code, design, component, etc.)", + }, + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + }, + required: ["specialist", "target", "projectPath"], + }, + }, + { + name: "list_architecture_members", + description: "List all available architecture team members and their specialties", + inputSchema: { + type: "object", + properties: { + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + }, + required: ["projectPath"], + }, + }, + { + name: "get_architecture_status", + description: "Get the current status of architecture documentation and decisions", + inputSchema: { + type: "object", + properties: { + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + }, + required: ["projectPath"], + }, + }, + { + name: "configure_pragmatic_mode", + description: "Enable and configure Pragmatic Mode (YAGNI Enforcement) to prevent over-engineering", + inputSchema: { + type: "object", + properties: { + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + enabled: { + type: "boolean", + description: "Enable or disable Pragmatic Mode", + }, + intensity: { + type: "string", + description: "Intensity level: 'strict', 'balanced', or 'lenient'", + enum: ["strict", "balanced", "lenient"], + }, + }, + required: ["projectPath"], + }, + }, + { + name: "pragmatic_enforcer", + description: "Invoke the Pragmatic Enforcer to analyze proposals, code changes, designs, or architectural decisions for over-engineering and propose simpler alternatives", + inputSchema: { + type: "object", + properties: { + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + reviewType: { + type: "string", + description: "Type of review: 'proposal' (architectural recommendation), 'code' (code changes), 'design' (existing design), 'decision' (architectural decision), or 'implementation' (feature implementation)", + enum: ["proposal", "code", "design", "decision", "implementation"], + }, + target: { + type: "string", + description: "The content to review (proposal text, code snippet, design description, decision description, or implementation plan)", + }, + context: { + type: "string", + description: "Optional context: current requirements, constraints, why this is being proposed, what problem it solves", + }, + source: { + type: "string", + description: "Optional: Who/what is the source (architect name, file path, PR number, etc.)", + }, + }, + required: ["projectPath", "reviewType", "target"], + }, + }, + { + name: "get_implementation_guidance", + description: "Get implementation methodology, influences, and practices configuration for 'Implement as the architects' command. Returns configured methodology (TDD, BDD, etc.), influences (Kent Beck, Sandi Metz, etc.), language-specific practices, testing approach, refactoring guidelines, and quality standards.", + inputSchema: { + type: "object", + properties: { + projectPath: { + type: "string", + description: "Path to the project root directory", + }, + featureDescription: { + type: "string", + description: "Optional: Description of the feature being implemented (for context-specific guidance)", + }, + }, + required: ["projectPath"], + }, + }, + ], + }; + }); + + this.server.setRequestHandler(CallToolRequestSchema, async (request) => { + const { name, arguments: args } = request.params; + + try { + switch (name) { + case "setup_architecture": + return await this.setupArchitecture(args); + case "create_adr": + return await this.createADR(args); + case "start_architecture_review": + return await this.startArchitectureReview(args); + case "specialist_review": + return await this.specialistReview(args); + case "list_architecture_members": + return await this.listArchitectureMembers(args); + case "get_architecture_status": + return await this.getArchitectureStatus(args); + case "configure_pragmatic_mode": + return await this.configurePragmaticMode(args); + case "pragmatic_enforcer": + return await this.pragmaticEnforcer(args); + case "get_implementation_guidance": + return await this.getImplementationGuidance(args); + default: + throw new Error(`Unknown tool: ${name}`); + } + } catch (error) { + return { + content: [ + { + type: "text", + text: `Error: ${error.message}`, + }, + ], + isError: true, + }; + } + }); + } + + async setupArchitecture(args) { + const { projectPath } = args; + const architecturePath = path.join(projectPath, ".architecture"); + const codingAssistantsPath = path.join(projectPath, ".coding-assistants"); + const claudeMdPath = path.join(projectPath, "CLAUDE.md"); + + try { + // Check if .architecture already exists + if (await fs.pathExists(architecturePath)) { + return { + content: [ + { + type: "text", + text: "Architecture framework is already set up in this project. Use get_architecture_status to see current state.", + }, + ], + }; + } + + const results = []; + results.push("🚀 Setting up AI Software Architect framework..."); + + // Step 1: Analyze target project + results.push("\n📊 Analyzing project structure..."); + const projectAnalysis = await this.analyzeProject(projectPath); + results.push(`- Detected languages: ${projectAnalysis.languages.join(', ')}`); + results.push(`- Framework: ${projectAnalysis.framework || 'None detected'}`); + results.push(`- Package manager: ${projectAnalysis.packageManager || 'None detected'}`); + + // Step 2: Clone framework if needed (simulate by copying from parent directory) + const frameworkSourcePath = path.resolve(__dirname, '..'); + const tempClonePath = path.join(projectPath, '.architecture-temp'); + + results.push("\n📦 Installing framework templates..."); + + // Copy framework files to temp location + await fs.copy(frameworkSourcePath, tempClonePath, { + filter: (src) => { + const relativePath = path.relative(frameworkSourcePath, src); + // Skip git, node_modules, and other non-template files + return !relativePath.match(/^(.git|\.git|node_modules|mcp\/node_modules)/) + && !relativePath.includes('README.md') + && !relativePath.includes('USAGE') + && !relativePath.includes('INSTALL.md'); + } + }); + + // Step 3: Move framework files to proper location + const frameworkFiles = path.join(tempClonePath, '.architecture'); + if (await fs.pathExists(frameworkFiles)) { + await fs.move(frameworkFiles, architecturePath); + } else { + // Create structure if no .architecture exists in source + await this.createArchitectureStructure(architecturePath); + } + + // Step 4: Create .coding-assistants structure + await fs.ensureDir(path.join(codingAssistantsPath, "claude")); + await fs.ensureDir(path.join(codingAssistantsPath, "cursor")); + await fs.ensureDir(path.join(codingAssistantsPath, "codex")); + + // Step 5: Customize members.yml based on project analysis + results.push("\n👥 Customizing architecture team..."); + await this.customizeMembers(architecturePath, projectAnalysis); + + // Step 6: Customize principles based on project + results.push("\n📋 Customizing architectural principles..."); + await this.customizePrinciples(architecturePath, projectAnalysis); + + // Step 7: Set up templates + results.push("\n📄 Setting up templates..."); + await this.setupTemplates(architecturePath, projectAnalysis); + + // Step 8: Update CLAUDE.md if it exists + results.push("\n📝 Configuring CLAUDE.md integration..."); + await this.setupClaudeIntegration(claudeMdPath); + + // Step 9: Cleanup temporary files + await fs.remove(tempClonePath); + + // Step 10: Conduct initial architectural analysis + results.push("\n🔍 Conducting initial architectural analysis..."); + await this.conductInitialAnalysis(architecturePath, projectPath, projectAnalysis); + + results.push("\n✅ Framework setup complete!"); + results.push("\n🎯 Next steps:"); + results.push("- Review .architecture/reviews/initial-system-analysis.md"); + results.push("- Customize .architecture/members.yml for your team"); + results.push("- Create your first ADR with create_adr"); + results.push("- Start architecture reviews with start_architecture_review"); + + return { + content: [ + { + type: "text", + text: results.join('\n'), + }, + ], + }; + } catch (error) { + throw new Error(`Failed to set up architecture: ${error.message}`); + } + } + + async analyzeProject(projectPath) { + const analysis = { + languages: [], + framework: null, + packageManager: null, + architecture: 'unknown', + hasTests: false, + hasCI: false + }; + + try { + const files = await fs.readdir(projectPath); + + // Detect languages and frameworks + if (files.includes('package.json')) { + analysis.packageManager = 'npm'; + analysis.languages.push('JavaScript'); + const packageJson = await fs.readJson(path.join(projectPath, 'package.json')); + + // Detect frameworks + const deps = { ...packageJson.dependencies, ...packageJson.devDependencies }; + if (deps.react) analysis.framework = 'React'; + else if (deps.vue) analysis.framework = 'Vue'; + else if (deps.angular) analysis.framework = 'Angular'; + else if (deps.express) analysis.framework = 'Express'; + else if (deps.next) analysis.framework = 'Next.js'; + + if (deps.typescript || files.includes('tsconfig.json')) { + analysis.languages.push('TypeScript'); + } + } + + if (files.includes('Gemfile') || files.includes('Rakefile')) { + analysis.languages.push('Ruby'); + analysis.packageManager = 'bundler'; + if (files.includes('config/application.rb')) analysis.framework = 'Rails'; + } + + if (files.includes('requirements.txt') || files.includes('pyproject.toml') || files.includes('setup.py')) { + analysis.languages.push('Python'); + analysis.packageManager = 'pip'; + if (files.includes('manage.py')) analysis.framework = 'Django'; + else if (files.includes('app.py')) analysis.framework = 'Flask'; + } + + if (files.includes('pom.xml')) { + analysis.languages.push('Java'); + analysis.packageManager = 'maven'; + analysis.framework = 'Spring Boot'; + } + + if (files.includes('Cargo.toml')) { + analysis.languages.push('Rust'); + analysis.packageManager = 'cargo'; + } + + if (files.includes('go.mod')) { + analysis.languages.push('Go'); + analysis.packageManager = 'go mod'; + } + + // Check for tests + analysis.hasTests = files.some(f => f.includes('test') || f.includes('spec')) || + await fs.pathExists(path.join(projectPath, 'tests')) || + await fs.pathExists(path.join(projectPath, 'test')); + + // Check for CI + analysis.hasCI = await fs.pathExists(path.join(projectPath, '.github', 'workflows')) || + await fs.pathExists(path.join(projectPath, '.gitlab-ci.yml')) || + files.includes('.travis.yml'); + + if (analysis.languages.length === 0) { + analysis.languages.push('Multiple/Unknown'); + } + + } catch (error) { + console.error('Error analyzing project:', error); + } + + return analysis; + } + + async createArchitectureStructure(architecturePath) { + await fs.ensureDir(path.join(architecturePath, "decisions", "adrs")); + await fs.ensureDir(path.join(architecturePath, "reviews")); + await fs.ensureDir(path.join(architecturePath, "recalibration")); + await fs.ensureDir(path.join(architecturePath, "comparisons")); + await fs.ensureDir(path.join(architecturePath, "agent_docs")); + await fs.ensureDir(path.join(architecturePath, "templates")); + } + + async customizeMembers(architecturePath, analysis) { + const members = [ + { + id: "systems_architect", + name: "Systems Architect", + title: "Senior Systems Architect", + specialties: ["System Design", "Scalability", "Integration Patterns"], + disciplines: ["Software Architecture", "Systems Engineering", "Platform Design"], + skillsets: ["Microservices", "Event-Driven Architecture", "API Design"], + domains: ["Enterprise Systems", "Distributed Systems", "Cloud Architecture"], + perspective: "Focuses on overall system structure, scalability, and integration patterns" + }, + { + id: "security_architect", + name: "Security Architect", + title: "Security Architecture Specialist", + specialties: ["Security Design", "Threat Modeling", "Compliance"], + disciplines: ["Security Engineering", "Risk Assessment", "Privacy Engineering"], + skillsets: ["Authentication", "Authorization", "Encryption", "Security Patterns"], + domains: ["Application Security", "Infrastructure Security", "Data Protection"], + perspective: "Evaluates security implications and ensures secure design patterns" + }, + { + id: "performance_specialist", + name: "Performance Specialist", + title: "Performance Engineering Expert", + specialties: ["Performance Optimization", "Scalability", "Resource Management"], + disciplines: ["Performance Engineering", "Load Testing", "Profiling"], + skillsets: ["Caching", "Database Optimization", "CDN", "Monitoring"], + domains: ["Web Performance", "Database Performance", "Infrastructure Performance"], + perspective: "Focuses on system performance, bottlenecks, and optimization opportunities" + }, + { + id: "maintainability_expert", + name: "Maintainability Expert", + title: "Code Quality and Maintainability Specialist", + specialties: ["Code Quality", "Technical Debt", "Refactoring"], + disciplines: ["Software Engineering", "Code Review", "Testing"], + skillsets: ["Clean Code", "Design Patterns", "Automated Testing", "Documentation"], + domains: ["Code Quality", "Developer Experience", "Long-term Maintenance"], + perspective: "Evaluates code maintainability, technical debt, and developer productivity" + } + ]; + + // Add language-specific experts based on analysis + if (analysis.languages.includes('JavaScript') || analysis.languages.includes('TypeScript')) { + members.push({ + id: "javascript_expert", + name: "JavaScript Expert", + title: "JavaScript/TypeScript Specialist", + specialties: ["JavaScript Patterns", "TypeScript", "Modern JS"], + disciplines: ["Frontend Architecture", "Node.js", "Package Management"], + skillsets: ["ES6+", "Async Programming", "Module Systems", "Build Tools"], + domains: ["Frontend Development", "Node.js Backend", "Full-stack JavaScript"], + perspective: "Evaluates JavaScript/TypeScript code quality, patterns, and best practices" + }); + } + + if (analysis.framework) { + const frameworkId = analysis.framework.toLowerCase().replace(/[^a-z0-9]/g, '_'); + members.push({ + id: `${frameworkId}_specialist`, + name: `${analysis.framework} Specialist`, + title: `${analysis.framework} Architecture Expert`, + specialties: [`${analysis.framework} Patterns`, "Framework Best Practices", "Performance"], + disciplines: ["Framework Architecture", "Component Design", "State Management"], + skillsets: ["Framework APIs", "Ecosystem Tools", "Performance Optimization"], + domains: [`${analysis.framework} Applications`, "Framework Patterns", "Best Practices"], + perspective: `Evaluates ${analysis.framework} architecture, patterns, and framework-specific best practices` + }); + } + + const membersData = { members }; + await fs.writeFile( + path.join(architecturePath, "members.yml"), + yaml.stringify(membersData) + ); + } + + async customizePrinciples(architecturePath, analysis) { + let principlesContent = `# Architectural Principles + +## Core Principles + +1. **Simplicity First** - Choose the simplest solution that meets requirements +2. **Maintainability** - Code should be easy to understand and modify +3. **Scalability** - Design for growth and changing requirements +4. **Security by Design** - Security considerations integrated from the start +5. **Performance Awareness** - Consider performance implications of decisions`; + + // Add framework-specific principles + if (analysis.framework) { + principlesContent += ` +6. **${analysis.framework} Best Practices** - Follow established ${analysis.framework} patterns and conventions`; + } + + if (analysis.hasTests) { + principlesContent += ` +7. **Test-Driven Architecture** - Design for testability and maintain comprehensive test coverage`; + } + + principlesContent += ` + +## Technology-Specific Guidelines + +### Languages: ${analysis.languages.join(', ')} +`; + + if (analysis.framework) { + principlesContent += `### Framework: ${analysis.framework} +- Follow ${analysis.framework} architectural patterns +- Leverage framework-specific optimization techniques +- Maintain framework version compatibility + +`; + } + + principlesContent += `## Decision Making Process + +- Document significant architectural decisions as ADRs +- Conduct regular architecture reviews +- Involve relevant specialists in decision-making +- Consider long-term implications +- Align with project technology stack: ${analysis.languages.join(', ')}`; + + if (analysis.packageManager) { + principlesContent += ` +- Follow ${analysis.packageManager} dependency management best practices`; + } + + await fs.writeFile( + path.join(architecturePath, "decisions", "principles.md"), + principlesContent + ); + } + + async setupTemplates(architecturePath, analysis) { + const templatesPath = path.join(architecturePath, "templates"); + + // ADR Template + const adrTemplate = `# ADR [NUMBER]: [TITLE] + +## Status + +Proposed | Accepted | Superseded | Deprecated + +## Context + +[Describe the context and problem statement] + +## Decision Drivers + +- [Driver 1] +- [Driver 2] +- [Driver 3] + +## Considered Options + +- [Option 1] +- [Option 2] +- [Option 3] + +## Decision Outcome + +[Chosen option and justification] + +### Positive Consequences + +- [Positive consequence 1] +- [Positive consequence 2] + +### Negative Consequences + +- [Negative consequence 1] +- [Negative consequence 2] + +## Implementation + +[Implementation approach and timeline] + +## Validation + +[How to validate this decision] + +## References + +- [Reference 1] +- [Reference 2] +`; + + await fs.writeFile(path.join(templatesPath, "adr.md"), adrTemplate); + + // Review Template + const reviewTemplate = `# Architecture Review: [TARGET] + +## Review Overview + +**Target**: [Version/Feature/Component] +**Date**: [Date] +**Participants**: [List of participants] +**Review Type**: [Version/Feature/Component] + +## Executive Summary + +[High-level findings and recommendations] + +## Individual Member Reviews + +[Individual perspective sections will be added here] + +## Collaborative Discussion + +### Key Findings +- [Finding 1] +- [Finding 2] + +### Consensus Points +- [Point 1] +- [Point 2] + +### Areas of Disagreement +- [Disagreement 1 and resolution] + +## Technical Debt Assessment + +### Current Technical Debt +- [Debt item 1] +- [Debt item 2] + +### Proposed Debt Resolution +- [Resolution approach 1] +- [Resolution approach 2] + +## Risk Analysis + +### High Risk Areas +- [Risk 1] +- [Risk 2] + +### Medium Risk Areas +- [Risk 1] +- [Risk 2] + +### Risk Mitigation Strategies +- [Strategy 1] +- [Strategy 2] + +## Recommendations + +### High Priority (Immediate) +- [Recommendation 1] +- [Recommendation 2] + +### Medium Priority (Next Release) +- [Recommendation 1] +- [Recommendation 2] + +### Low Priority (Future) +- [Recommendation 1] +- [Recommendation 2] + +## Architecture Metrics + +[Relevant metrics and measurements] + +## Next Steps + +1. [Step 1] +2. [Step 2] +3. [Step 3] + +## Appendices + +### Architecture Diagrams +[Include relevant diagrams] + +### Reference Materials +- [Reference 1] +- [Reference 2] + +## Sign-off + +- [ ] Systems Architect +- [ ] Security Architect +- [ ] [Other team members] +`; + + await fs.writeFile(path.join(templatesPath, "review.md"), reviewTemplate); + } + + async setupClaudeIntegration(claudeMdPath) { + const frameworkInstructions = ` + +## AI Software Architect Framework + +This project uses the AI Software Architect framework for structured architecture management. + +### Framework Usage +- **Architecture Reviews**: "Start architecture review for version X.Y.Z" or "Review architecture for 'component'" +- **Specialized Reviews**: "Ask Security Architect to review these code changes" +- **ADR Creation**: "Create an ADR for 'topic'" +- **Recalibration**: "Start architecture recalibration for 'feature name'" + +### Framework Structure +- \`.architecture/decisions/\` - Architectural Decision Records and principles +- \`.architecture/reviews/\` - Architecture review documents +- \`.architecture/recalibration/\` - Implementation plans from reviews +- \`.architecture/members.yml\` - Architecture team member definitions + +Refer to \`.architecture/decisions/principles.md\` for architectural guidance. +`; + + if (await fs.pathExists(claudeMdPath)) { + const existingContent = await fs.readFile(claudeMdPath, 'utf8'); + if (!existingContent.includes('AI Software Architect Framework')) { + await fs.appendFile(claudeMdPath, frameworkInstructions); + } + } else { + await fs.writeFile(claudeMdPath, `# CLAUDE.md + +Project instructions for Claude Code.${frameworkInstructions}`); + } + } + + async conductInitialAnalysis(architecturePath, projectPath, analysis) { + const analysisContent = `# Initial System Architecture Analysis + +**Date**: ${new Date().toISOString().split('T')[0]} +**Analyzed by**: AI Software Architect Framework (Initial Setup) + +## Project Overview + +**Languages**: ${analysis.languages.join(', ')} +**Framework**: ${analysis.framework || 'None detected'} +**Package Manager**: ${analysis.packageManager || 'None detected'} +**Has Tests**: ${analysis.hasTests ? 'Yes' : 'No'} +**Has CI/CD**: ${analysis.hasCI ? 'Yes' : 'No'} + +## Systems Architect Analysis + +### System Structure +- Primary languages: ${analysis.languages.join(', ')} +${analysis.framework ? `- Framework architecture: ${analysis.framework}` : ''} +- Testing strategy: ${analysis.hasTests ? 'Present' : 'Needs Implementation'} +- CI/CD pipeline: ${analysis.hasCI ? 'Configured' : 'Not Detected'} + +### Architectural Strengths +- Technology stack appears modern and well-supported +${analysis.framework ? `- Using established framework (${analysis.framework}) with strong community support` : ''} +${analysis.hasTests ? '- Testing infrastructure in place' : ''} + +### Areas for Improvement +${!analysis.hasTests ? '- Consider implementing comprehensive testing strategy' : ''} +${!analysis.hasCI ? '- Consider setting up CI/CD pipeline for automated quality checks' : ''} +- Document architectural decisions as the system evolves + +## Security Architect Analysis + +### Security Considerations +- Framework security: ${analysis.framework ? `Review ${analysis.framework} security best practices` : 'Ensure secure coding practices'} +- Dependency management: Regular security updates for ${analysis.packageManager || 'dependencies'} +- Authentication/authorization patterns need architectural definition + +### Security Recommendations +- Establish security review process for architectural changes +- Document authentication and authorization patterns +- Implement security scanning in development workflow + +## Performance Specialist Analysis + +### Performance Baseline +- Technology stack: Generally performant with ${analysis.languages.join(' and ')} +${analysis.framework ? `- ${analysis.framework} performance characteristics should be monitored` : ''} + +### Performance Recommendations +- Establish performance monitoring and metrics +- Define performance requirements for key user journeys +- Consider performance implications in architectural decisions + +## Maintainability Expert Analysis + +### Code Quality Assessment +- Modern technology stack supports good maintainability practices +${analysis.hasTests ? '- Existing test infrastructure supports maintainable code' : ''} + +### Maintainability Recommendations +- Document coding standards and conventions +- Establish code review process +- Regular refactoring to manage technical debt + +## Collaborative Findings + +### Immediate Priorities +1. Document current architectural decisions and patterns +2. Establish development and deployment standards +${!analysis.hasTests ? '3. Implement testing strategy' : ''} +${!analysis.hasCI ? '3. Set up CI/CD pipeline' : ''} + +### Medium-term Goals +1. Regular architecture reviews as system evolves +2. Performance monitoring and optimization +3. Security architecture documentation + +### Long-term Considerations +1. Scalability planning as system grows +2. Technology stack evolution strategy +3. Team knowledge sharing and documentation + +## Next Steps + +1. **Immediate**: Review and customize architectural principles in \`.architecture/decisions/principles.md\` +2. **Week 1**: Create ADRs for current major architectural decisions +3. **Month 1**: Establish regular architecture review schedule +4. **Ongoing**: Use framework for all significant architectural decisions + +## Framework Integration + +The AI Software Architect framework has been configured with: +- Architecture team members relevant to your technology stack +- Customized principles based on detected technologies +- Templates ready for ADRs and reviews +- CLAUDE.md integration for AI assistant collaboration + +--- + +*This analysis was generated during framework setup. Update and extend as your understanding of the system grows.* +`; + + await fs.writeFile( + path.join(architecturePath, "reviews", "initial-system-analysis.md"), + analysisContent + ); + } + + async createADR(args) { + const { title, context, decision, consequences, projectPath } = args; + const architecturePath = path.join(projectPath, ".architecture"); + + if (!(await fs.pathExists(architecturePath))) { + throw new Error("Architecture framework not set up. Run setup_architecture first."); + } + + const adrsPath = path.join(architecturePath, "decisions", "adrs"); + + // Get next ADR number + const existingADRs = await fs.readdir(adrsPath).catch(() => []); + const adrNumbers = existingADRs + .filter(file => file.match(/^\d+/)) + .map(file => parseInt(file.match(/^(\d+)/)[1])) + .sort((a, b) => a - b); + + const nextNumber = adrNumbers.length > 0 ? Math.max(...adrNumbers) + 1 : 1; + const adrFilename = `${nextNumber.toString().padStart(4, '0')}-${title.toLowerCase().replace(/\s+/g, '-')}.md`; + + const adrContent = `# ADR ${nextNumber}: ${title} + +## Status + +Proposed + +## Context + +${context} + +## Decision + +${decision} + +## Consequences + +${consequences} + +## Date + +${new Date().toISOString().split('T')[0]} +`; + + await fs.writeFile(path.join(adrsPath, adrFilename), adrContent); + + return { + content: [ + { + type: "text", + text: `✅ ADR created successfully!\n\nFile: .architecture/decisions/adrs/${adrFilename}\nNumber: ${nextNumber}\nTitle: ${title}`, + }, + ], + }; + } + + async startArchitectureReview(args) { + const { reviewTarget, projectPath } = args; + const architecturePath = path.join(projectPath, ".architecture"); + + if (!(await fs.pathExists(architecturePath))) { + throw new Error("Architecture framework not set up. Run setup_architecture first."); + } + + const reviewsPath = path.join(architecturePath, "reviews"); + const membersPath = path.join(architecturePath, "members.yml"); + + // Load team members + let members = []; + if (await fs.pathExists(membersPath)) { + const membersContent = await fs.readFile(membersPath, 'utf8'); + const membersData = yaml.parse(membersContent); + members = membersData.members || []; + } + + const reviewFilename = `${reviewTarget.replace(/\s+/g, '-').toLowerCase()}.md`; + + const reviewContent = `# Architecture Review: ${reviewTarget} + +## Review Overview + +**Target**: ${reviewTarget} +**Date**: ${new Date().toISOString().split('T')[0]} +**Participants**: ${members.map(m => m.name).join(', ')} + +## Individual Member Reviews + +${members.map(member => ` +### ${member.name} (${member.title}) + +**Perspective**: ${member.perspective} + +**Areas of Focus**: ${member.specialties.join(', ')} + +**Findings**: +- [To be filled during review] + +**Recommendations**: +- [To be filled during review] + +**Risk Assessment**: +- [To be filled during review] + +--- +`).join('')} + +## Collaborative Discussion + +[Summary of team discussion and consensus findings] + +## Final Recommendations + +### High Priority +- [Critical items requiring immediate attention] + +### Medium Priority +- [Important improvements for near-term implementation] + +### Low Priority +- [Nice-to-have enhancements for future consideration] + +## Next Steps + +1. [Immediate actions] +2. [Short-term planning] +3. [Long-term considerations] + +## Sign-off + +- [ ] Systems Architect +- [ ] Security Architect +${members.filter(m => !['systems_architect', 'security_architect'].includes(m.id)).map(m => `- [ ] ${m.name}`).join('\n')} +`; + + await fs.writeFile(path.join(reviewsPath, reviewFilename), reviewContent); + + return { + content: [ + { + type: "text", + text: `✅ Architecture review started!\n\nReview document: .architecture/reviews/${reviewFilename}\nParticipants: ${members.map(m => m.name).join(', ')}\n\nThe review template has been created with sections for each team member. Fill in their individual perspectives, then complete the collaborative discussion and final recommendations.`, + }, + ], + }; + } + + async specialistReview(args) { + const { specialist, target, projectPath } = args; + const architecturePath = path.join(projectPath, ".architecture"); + + if (!(await fs.pathExists(architecturePath))) { + throw new Error("Architecture framework not set up. Run setup_architecture first."); + } + + const membersPath = path.join(architecturePath, "members.yml"); + + // Load team members to find specialist + let members = []; + if (await fs.pathExists(membersPath)) { + const membersContent = await fs.readFile(membersPath, 'utf8'); + const membersData = yaml.parse(membersContent); + members = membersData.members || []; + } + + // Find matching specialist + const member = members.find(m => + m.name.toLowerCase().includes(specialist.toLowerCase()) || + m.title.toLowerCase().includes(specialist.toLowerCase()) || + m.specialties.some(s => s.toLowerCase().includes(specialist.toLowerCase())) + ); + + if (!member) { + return { + content: [ + { + type: "text", + text: `❌ Specialist "${specialist}" not found in team members.\n\nAvailable specialists:\n${members.map(m => `- ${m.name} (${m.title}): ${m.specialties.join(', ')}`).join('\n')}\n\nUse list_architecture_members to see all available team members.`, + }, + ], + }; + } + + const reviewContent = `# Specialist Review: ${member.name} + +## Review Details + +**Specialist**: ${member.name} (${member.title}) +**Target**: ${target} +**Date**: ${new Date().toISOString().split('T')[0]} +**Perspective**: ${member.perspective} + +## Specialist Analysis + +### Areas of Expertise +${member.specialties.map(s => `- ${s}`).join('\n')} + +### Review Focus +${member.domains.map(d => `- ${d}`).join('\n')} + +### Key Findings + +#### Strengths +- [Identify positive aspects from specialist perspective] + +#### Concerns +- [Highlight areas of concern or risk] + +#### Gaps +- [Note missing elements or incomplete implementations] + +### Recommendations + +#### Immediate Actions +- [Critical items requiring prompt attention] + +#### Improvements +- [Enhancements to consider] + +#### Best Practices +- [Industry standards and recommended approaches] + +### Risk Assessment + +**Risk Level**: [High/Medium/Low] + +**Key Risks**: +- [List primary risks from specialist viewpoint] + +**Mitigation Strategies**: +- [Recommended approaches to address risks] + +## Summary + +[Concise summary of specialist findings and top recommendations] + +--- +**Specialist Sign-off**: ${member.name} +`; + + const reviewsPath = path.join(architecturePath, "reviews"); + const filename = `specialist-${member.id}-${target.replace(/\s+/g, '-').toLowerCase()}.md`; + + await fs.writeFile(path.join(reviewsPath, filename), reviewContent); + + return { + content: [ + { + type: "text", + text: `✅ Specialist review initiated!\n\n**Specialist**: ${member.name} (${member.title})\n**Focus Areas**: ${member.specialties.join(', ')}\n**Review Document**: .architecture/reviews/${filename}\n\nThe specialist review template has been created with sections tailored to ${member.name}'s expertise. Complete the analysis from their specialized perspective.`, + }, + ], + }; + } + + async listArchitectureMembers(args) { + const { projectPath } = args; + const membersPath = path.join(projectPath, ".architecture", "members.yml"); + + if (!(await fs.pathExists(membersPath))) { + return { + content: [ + { + type: "text", + text: "❌ No architecture team members found. Run setup_architecture first.", + }, + ], + }; + } + + const membersContent = await fs.readFile(membersPath, 'utf8'); + const membersData = yaml.parse(membersContent); + const members = membersData.members || []; + + if (members.length === 0) { + return { + content: [ + { + type: "text", + text: "No team members configured in .architecture/members.yml", + }, + ], + }; + } + + const membersList = members.map(member => + `**${member.name}** (${member.title})\n` + + ` - Specialties: ${member.specialties.join(', ')}\n` + + ` - Domains: ${member.domains.join(', ')}\n` + + ` - Perspective: ${member.perspective}\n` + ).join('\n'); + + return { + content: [ + { + type: "text", + text: `## Architecture Team Members\n\n${membersList}\n\nUse specialist_review with any of these specialists for focused reviews.`, + }, + ], + }; + } + + async getArchitectureStatus(args) { + const { projectPath } = args; + const architecturePath = path.join(projectPath, ".architecture"); + + if (!(await fs.pathExists(architecturePath))) { + return { + content: [ + { + type: "text", + text: "❌ Architecture framework not set up. Run setup_architecture to initialize.", + }, + ], + }; + } + + const status = { + setup: true, + adrs: 0, + reviews: 0, + members: 0, + }; + + // Count ADRs + const adrsPath = path.join(architecturePath, "decisions", "adrs"); + if (await fs.pathExists(adrsPath)) { + const adrFiles = await fs.readdir(adrsPath); + status.adrs = adrFiles.filter(f => f.endsWith('.md')).length; + } + + // Count reviews + const reviewsPath = path.join(architecturePath, "reviews"); + if (await fs.pathExists(reviewsPath)) { + const reviewFiles = await fs.readdir(reviewsPath); + status.reviews = reviewFiles.filter(f => f.endsWith('.md')).length; + } + + // Count members + const membersPath = path.join(architecturePath, "members.yml"); + if (await fs.pathExists(membersPath)) { + const membersContent = await fs.readFile(membersPath, 'utf8'); + const membersData = yaml.parse(membersContent); + status.members = (membersData.members || []).length; + } + + return { + content: [ + { + type: "text", + text: `## Architecture Framework Status\n\n✅ **Framework Setup**: Complete\n📋 **ADRs Created**: ${status.adrs}\n🔍 **Reviews Conducted**: ${status.reviews}\n👥 **Team Members**: ${status.members}\n\n### Available Actions\n- Use \`create_adr\` to document architectural decisions\n- Use \`start_architecture_review\` for comprehensive reviews\n- Use \`specialist_review\` for focused specialist input\n- Use \`list_architecture_members\` to see team composition`, + }, + ], + }; + } + + async configurePragmaticMode(args) { + const { projectPath, enabled, intensity } = args; + const architecturePath = path.join(projectPath, ".architecture"); + + if (!(await fs.pathExists(architecturePath))) { + throw new Error("Architecture framework not set up. Run setup_architecture first."); + } + + const configPath = path.join(architecturePath, "config.yml"); + const templatePath = path.join(architecturePath, "templates", "config.yml"); + + // Load or create config + let config; + if (await fs.pathExists(configPath)) { + const configContent = await fs.readFile(configPath, 'utf8'); + config = yaml.parse(configContent); + } else if (await fs.pathExists(templatePath)) { + // Copy from template + const templateContent = await fs.readFile(templatePath, 'utf8'); + config = yaml.parse(templateContent); + } else { + throw new Error("Configuration template not found. Framework may be incomplete."); + } + + // Update pragmatic mode settings + if (!config.pragmatic_mode) { + config.pragmatic_mode = {}; + } + + if (enabled !== undefined) { + config.pragmatic_mode.enabled = enabled; + } + + if (intensity !== undefined) { + config.pragmatic_mode.intensity = intensity; + } + + // Ensure deferrals.md exists if tracking is enabled + if (config.pragmatic_mode.enabled && config.pragmatic_mode.behavior?.track_deferrals) { + const deferralsPath = path.join(architecturePath, "deferrals.md"); + const deferralsTemplatePath = path.join(architecturePath, "templates", "deferrals.md"); + + if (!(await fs.pathExists(deferralsPath)) && (await fs.pathExists(deferralsTemplatePath))) { + await fs.copy(deferralsTemplatePath, deferralsPath); + } + } + + // Write updated config + await fs.writeFile(configPath, yaml.stringify(config)); + + // Build status message + const statusEnabled = config.pragmatic_mode.enabled ? "✅ Enabled" : "❌ Disabled"; + const statusIntensity = config.pragmatic_mode.intensity || "balanced"; + const deferralsTracking = config.pragmatic_mode.behavior?.track_deferrals ? "Enabled" : "Disabled"; + + return { + content: [ + { + type: "text", + text: `## Pragmatic Mode Configuration Updated\n\n**Status**: ${statusEnabled}\n**Intensity**: ${statusIntensity}\n**Deferrals Tracking**: ${deferralsTracking}\n\n### How Pragmatic Mode Works\n\nWhen enabled, the Pragmatic Enforcer will:\n- Challenge complexity and abstractions\n- Question "best practices" that may not apply\n- Propose simpler alternatives that meet current requirements\n- Score necessity vs. complexity (target ratio <1.5)\n- ${deferralsTracking === "Enabled" ? "Track deferred decisions in .architecture/deferrals.md" : "Not track deferrals"}\n\n### Intensity Levels\n\n**Strict**: Challenges aggressively, requires strong justification\n**Balanced**: Thoughtful challenges, accepts justified complexity (recommended)\n**Lenient**: Raises concerns without blocking\n\n### Configuration\n\nFull configuration saved to: \`.architecture/config.yml\`\n\nYou can manually edit this file to customize:\n- Exemptions (security, compliance, etc.)\n- Triggers (when to challenge)\n- Thresholds (complexity scores)\n- Review phases where Pragmatic Mode applies\n\n### Next Steps\n\n${config.pragmatic_mode.enabled ? "The Pragmatic Enforcer will now participate in:\n- Architecture reviews (start_architecture_review)\n- Specialist reviews (specialist_review)\n- ADR creation (create_adr)\n\nUse these tools and the Pragmatic Enforcer will challenge over-engineering." : "Pragmatic Mode is disabled. Set enabled=true to activate YAGNI enforcement."}`, + }, + ], + }; + } + + async pragmaticEnforcer(args) { + const { projectPath, reviewType, target, context, source } = args; + const architecturePath = path.join(projectPath, ".architecture"); + + if (!(await fs.pathExists(architecturePath))) { + throw new Error("Architecture framework not set up. Run setup_architecture first."); + } + + // Load pragmatic mode configuration + const configPath = path.join(architecturePath, "config.yml"); + let config = null; + let intensity = "balanced"; + + if (await fs.pathExists(configPath)) { + const configContent = await fs.readFile(configPath, 'utf8'); + config = yaml.parse(configContent); + intensity = config?.pragmatic_mode?.intensity || "balanced"; + } + + // Define intensity-specific behaviors + const intensityBehaviors = { + strict: { + stance: "Challenges aggressively, requires strong justification for any complexity", + threshold: "Very high bar - must be absolutely necessary", + defaultRecommendation: "Defer or Simplify" + }, + balanced: { + stance: "Challenges thoughtfully, accepts justified complexity", + threshold: "Reasonable bar - should have clear current value", + defaultRecommendation: "Evaluate trade-offs" + }, + lenient: { + stance: "Raises concerns without blocking, suggests alternatives", + threshold: "Low bar - raises awareness of simpler options", + defaultRecommendation: "Consider alternatives" + } + }; + + const behavior = intensityBehaviors[intensity]; + + // Build the analysis report + const reviewTypeLabels = { + proposal: "Architectural Proposal", + code: "Code Changes", + design: "Existing Design", + decision: "Architectural Decision", + implementation: "Implementation Plan" + }; + + const report = []; + report.push("# Pragmatic Enforcer Analysis"); + report.push(""); + report.push(`**Review Type**: ${reviewTypeLabels[reviewType]}`); + report.push(`**Intensity Mode**: ${intensity} (${behavior.stance})`); + if (source) report.push(`**Source**: ${source}`); + report.push(""); + report.push("---"); + report.push(""); + + // Show what's being reviewed + report.push("## Target Under Review"); + report.push(""); + report.push("```"); + report.push(target); + report.push("```"); + report.push(""); + + if (context) { + report.push("## Context"); + report.push(""); + report.push(context); + report.push(""); + } + + report.push("---"); + report.push(""); + report.push("## Pragmatic Analysis Framework"); + report.push(""); + report.push("The Pragmatic Enforcer will now analyze this through the YAGNI lens:"); + report.push(""); + + report.push("### Key Questions to Answer"); + report.push(""); + report.push("**Necessity Questions:**"); + report.push("- Do we need this right now?"); + report.push("- What breaks if we don't implement this?"); + report.push("- What current requirement does this address?"); + report.push(""); + + report.push("**Simplicity Questions:**"); + report.push("- What's the simplest thing that could work?"); + report.push("- Can we solve this with less code/complexity?"); + report.push("- What are we assuming about the future?"); + report.push(""); + + report.push("**Cost Questions:**"); + report.push("- What's the cost of implementing this now?"); + report.push("- What's the cost of waiting until we actually need it?"); + report.push("- What's the maintenance burden?"); + report.push(""); + + report.push("**Alternative Questions:**"); + report.push("- What if we just... [propose simpler alternative]?"); + report.push("- Could we use an existing tool/pattern?"); + report.push("- Can we defer part of this?"); + report.push(""); + + report.push("**Best Practice Questions:**"); + report.push("- Does this best practice apply to our context?"); + report.push("- Is this over-engineering for our scale?"); + report.push("- Are we cargo-culting?"); + report.push(""); + + report.push("---"); + report.push(""); + report.push("## Analysis Template"); + report.push(""); + report.push("Please provide your analysis using this structure:"); + report.push(""); + + report.push("### 1. Necessity Assessment (Score 0-10)"); + report.push(""); + report.push("**Current Need**: [Score /10]"); + report.push("- Analysis: [Why is this needed RIGHT NOW?]"); + report.push("- Requirements addressed: [List current requirements]"); + report.push(""); + report.push("**Future Need**: [Score /10]"); + report.push("- Analysis: [What future scenarios need this?]"); + report.push("- Likelihood: [How certain are these scenarios?]"); + report.push(""); + report.push("**Cost of Waiting**: [Low / Medium / High]"); + report.push("- Analysis: [What happens if we defer this?]"); + report.push("- Reversibility: [How hard to add later?]"); + report.push(""); + report.push("**Overall Necessity Score**: [0-10]"); + report.push(""); + + report.push("### 2. Complexity Assessment (Score 0-10)"); + report.push(""); + report.push("**Added Complexity**: [Score /10]"); + report.push("- New abstractions: [List]"); + report.push("- New dependencies: [List]"); + report.push("- Lines of code: [Estimate]"); + report.push("- Files affected: [Count]"); + report.push(""); + report.push("**Maintenance Burden**: [Score /10]"); + report.push("- Ongoing maintenance: [Description]"); + report.push("- Testing requirements: [Description]"); + report.push("- Documentation needs: [Description]"); + report.push(""); + report.push("**Learning Curve**: [Score /10]"); + report.push("- New concepts to learn: [List]"); + report.push("- Team familiarity: [Assessment]"); + report.push(""); + report.push("**Overall Complexity Score**: [0-10]"); + report.push(""); + + report.push("### 3. Complexity-to-Necessity Ratio"); + report.push(""); + report.push("**Ratio**: [Complexity Score / Necessity Score]"); + report.push(""); + report.push("**Target**: < 1.5 (complexity should not exceed necessity by more than 50%)"); + report.push(""); + report.push("**Assessment**: "); + report.push("- ✅ Acceptable (< 1.5): Complexity is justified"); + report.push("- ⚠️ Borderline (1.5 - 2.0): Question carefully"); + report.push("- ❌ Over-engineered (> 2.0): Strong challenge"); + report.push(""); + + report.push("### 4. Simpler Alternative"); + report.push(""); + report.push("**Proposal**: [Describe a concrete simpler approach]"); + report.push(""); + report.push("**What it includes**: [List]"); + report.push(""); + report.push("**What it excludes**: [List]"); + report.push(""); + report.push("**Why it's sufficient**: [Explanation]"); + report.push(""); + + report.push("### 5. Recommendation"); + report.push(""); + report.push("Choose one:"); + report.push(""); + report.push("- **✅ Implement Now**: Complexity is justified, necessity is high, proceed as proposed"); + report.push("- **🔧 Simplified Version**: Implement the simpler alternative described above"); + report.push("- **⏸️ Defer**: Wait until we have evidence we need this"); + report.push("- **❌ Skip**: Not needed, doesn't add value"); + report.push(""); + report.push("**Recommendation**: [Your choice]"); + report.push(""); + + report.push("### 6. Justification"); + report.push(""); + report.push("[Provide clear reasoning for your recommendation]"); + report.push(""); + + report.push("---"); + report.push(""); + report.push("## Exemption Check"); + report.push(""); + + if (config?.pragmatic_mode?.exemptions) { + const exemptions = config.pragmatic_mode.exemptions; + report.push("The following areas are exempt from simplification (but may be phased):"); + report.push(""); + if (exemptions.security_critical) report.push("- ✅ Security-critical features"); + if (exemptions.data_integrity) report.push("- ✅ Data integrity requirements"); + if (exemptions.compliance_required) report.push("- ✅ Compliance requirements"); + if (exemptions.accessibility) report.push("- ✅ Accessibility requirements"); + report.push(""); + report.push("If this review involves any exempt areas, note that in your analysis."); + report.push(""); + } + + report.push("---"); + report.push(""); + report.push("## Intensity-Specific Guidance"); + report.push(""); + report.push(`**Current Intensity: ${intensity}**`); + report.push(""); + report.push(`**Stance**: ${behavior.stance}`); + report.push(`**Threshold**: ${behavior.threshold}`); + report.push(`**Default Lean**: ${behavior.defaultRecommendation}`); + report.push(""); + + if (config?.pragmatic_mode?.enabled === false) { + report.push("---"); + report.push(""); + report.push("⚠️ **Note**: Pragmatic Mode is currently disabled in config.yml"); + report.push(""); + report.push("To enable automatic pragmatic enforcement in reviews, use `configure_pragmatic_mode`"); + report.push(""); + } + + return { + content: [ + { + type: "text", + text: report.join('\n'), + }, + ], + }; + } + + async getImplementationGuidance(args) { + const { projectPath, featureDescription } = args; + + // Validate project path + if (!fs.existsSync(projectPath)) { + throw new Error(`Project path does not exist: ${projectPath}`); + } + + const archPath = path.join(projectPath, ".architecture"); + if (!fs.existsSync(archPath)) { + throw new Error(`No .architecture directory found at ${projectPath}. Run setup_architecture first.`); + } + + // Read config.yml + const configPath = path.join(archPath, "config.yml"); + if (!fs.existsSync(configPath)) { + return { + content: [ + { + type: "text", + text: "No config.yml found. Implementation guidance not configured.\n\nTo configure, add an 'implementation:' section to .architecture/config.yml with methodology, influences, and practices.", + }, + ], + }; + } + + const configContent = fs.readFileSync(configPath, "utf8"); + const config = yaml.parse(configContent); + + // Check if implementation is configured + if (!config.implementation) { + return { + content: [ + { + type: "text", + text: "Implementation guidance not configured in config.yml.\n\nTo configure, add an 'implementation:' section with:\n- methodology: TDD, BDD, DDD, etc.\n- influences: List of thought leaders and sources\n- languages: Language-specific practices\n- testing, refactoring, quality standards\n\nSee .architecture/templates/config.yml for examples.", + }, + ], + }; + } + + const impl = config.implementation; + + // Check if enabled + if (impl.enabled === false) { + return { + content: [ + { + type: "text", + text: "Implementation guidance is disabled in config.yml.\n\nTo enable, set implementation.enabled: true", + }, + ], + }; + } + + // Build implementation guidance report + const report = []; + report.push("# Implementation Guidance"); + report.push(""); + + if (featureDescription) { + report.push(`**Feature**: ${featureDescription}`); + report.push(""); + } + + report.push("---"); + report.push(""); + + // Methodology + if (impl.methodology) { + report.push("## Development Methodology"); + report.push(""); + report.push(`**Primary Approach**: ${impl.methodology}`); + report.push(""); + + const methodologies = { + TDD: "Test-Driven Development: Write tests first, red-green-refactor cycle", + BDD: "Behavior-Driven Development: Behavior-focused tests, outside-in development", + DDD: "Domain-Driven Design: Focus on domain modeling, bounded contexts, ubiquitous language", + "Test-Last": "Implementation first, comprehensive tests after", + Exploratory: "Experiment with approaches, iterate and learn, codify successful patterns" + }; + + if (methodologies[impl.methodology]) { + report.push(`**Description**: ${methodologies[impl.methodology]}`); + report.push(""); + } + } + + // Influences + if (impl.influences && impl.influences.length > 0) { + report.push("## Coding Influences"); + report.push(""); + report.push("Follow practices and principles from:"); + report.push(""); + impl.influences.forEach(influence => { + report.push(`- ${influence}`); + }); + report.push(""); + } + + // Language-specific practices + if (impl.languages) { + report.push("## Language-Specific Practices"); + report.push(""); + Object.entries(impl.languages).forEach(([lang, practices]) => { + report.push(`### ${lang.charAt(0).toUpperCase() + lang.slice(1)}`); + report.push(""); + if (practices.style_guide) { + report.push(`**Style Guide**: ${practices.style_guide}`); + report.push(""); + } + if (practices.idioms) { + report.push(`**Idioms**: ${practices.idioms}`); + report.push(""); + } + if (practices.frameworks) { + report.push("**Frameworks**:"); + Object.entries(practices.frameworks).forEach(([framework, guidance]) => { + report.push(`- ${framework}: ${guidance}`); + }); + report.push(""); + } + }); + } + + // Testing + if (impl.testing) { + report.push("## Testing Approach"); + report.push(""); + if (impl.testing.framework) { + report.push(`**Framework**: ${impl.testing.framework}`); + } + if (impl.testing.style) { + report.push(`**Style**: ${impl.testing.style}`); + } + if (impl.testing.approach) { + report.push(`**Approach**: ${impl.testing.approach}`); + } + if (impl.testing.coverage) { + report.push(`**Coverage Goal**: ${impl.testing.coverage}`); + } + if (impl.testing.speed) { + report.push(`**Speed Targets**: ${impl.testing.speed}`); + } + report.push(""); + } + + // Refactoring + if (impl.refactoring) { + report.push("## Refactoring Guidelines"); + report.push(""); + if (impl.refactoring.when) { + report.push("**When to Refactor**:"); + impl.refactoring.when.forEach(when => { + report.push(`- ${when}`); + }); + report.push(""); + } + if (impl.refactoring.principles) { + report.push("**Principles**:"); + impl.refactoring.principles.forEach(principle => { + report.push(`- ${principle}`); + }); + report.push(""); + } + } + + // Quality + if (impl.quality) { + report.push("## Quality Standards"); + report.push(""); + if (impl.quality.definition_of_done) { + report.push("**Definition of Done**:"); + impl.quality.definition_of_done.forEach(item => { + report.push(`- ${item}`); + }); + report.push(""); + } + if (impl.quality.priorities) { + report.push("**Quality Priorities**:"); + impl.quality.priorities.forEach(priority => { + report.push(`- ${priority}`); + }); + report.push(""); + } + } + + // Security + if (impl.security?.mandatory_practices) { + report.push("## Security Practices"); + report.push(""); + report.push("**Mandatory** (always apply, exempt from YAGNI):"); + impl.security.mandatory_practices.forEach(practice => { + report.push(`- ${practice}`); + }); + report.push(""); + } + + // Performance + if (impl.performance?.critical) { + report.push("## Performance Considerations"); + report.push(""); + report.push("⚠️ **Performance-Critical System**: Extra attention to performance"); + report.push(""); + if (impl.performance.practices) { + report.push("**Practices**:"); + impl.performance.practices.forEach(practice => { + report.push(`- ${practice}`); + }); + report.push(""); + } + if (impl.performance.influences) { + report.push("**Performance Influences**:"); + impl.performance.influences.forEach(influence => { + report.push(`- ${influence}`); + }); + report.push(""); + } + } + + report.push("---"); + report.push(""); + report.push("## Usage"); + report.push(""); + report.push("Apply this guidance during implementation:"); + report.push("1. Follow the configured methodology"); + report.push("2. Reference the listed influences for techniques and patterns"); + report.push("3. Apply language-specific practices and idioms"); + report.push("4. Structure tests according to testing approach"); + report.push("5. Refactor at the specified times"); + report.push("6. Meet quality standards before completion"); + report.push("7. Always apply security practices"); + report.push(""); + report.push("**Tip**: This guidance is automatically applied when using 'Implement X as the architects' command in Claude Code."); + + return { + content: [ + { + type: "text", + text: report.join('\n'), + }, + ], + }; + } + + async run() { + const transport = new StdioServerTransport(); + await this.server.connect(transport); + console.error("AI Software Architect MCP server running on stdio"); + } +} + +const server = new ArchitectureServer(); +server.run().catch(console.error); \ No newline at end of file diff --git a/.architecture/mcp/package-lock.json b/.architecture/mcp/package-lock.json new file mode 100644 index 0000000..d0db0ee --- /dev/null +++ b/.architecture/mcp/package-lock.json @@ -0,0 +1,229 @@ +{ + "name": "ai-software-architect-mcp", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ai-software-architect-mcp", + "version": "1.0.0", + "license": "MIT", + 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"homepage": "https://github.com/codenamev/ai-software-architect#readme", + "bugs": { + "url": "https://github.com/codenamev/ai-software-architect/issues" + }, + "dependencies": { + "@modelcontextprotocol/sdk": "^0.6.0", + "yaml": "^2.3.4", + "fs-extra": "^11.2.0" + }, + "devDependencies": { + "@types/node": "^20.10.0" + }, + "engines": { + "node": ">=18.0.0" + }, + "mcp": { + "command": "mcp", + "transport": "stdio" + } +} \ No newline at end of file diff --git a/.architecture/members.yml b/.architecture/members.yml new file mode 100644 index 0000000..a2fb43b --- /dev/null +++ b/.architecture/members.yml @@ -0,0 +1,234 @@ +# Architecture Review Members +# Each member represents a specialized perspective for architectural reviews + +members: + - id: systems_architect + name: "Systems Architect" + title: "Systems Architect" + specialties: + - "distributed systems" + - "service architecture" + - "scalability patterns" + disciplines: + - "system design" + - "infrastructure modeling" + - "load distribution" + skillsets: + - "high-level architecture planning" + - "system decomposition" + - "technical roadmapping" + domains: + - "overall system coherence" + - "architectural principles" + - "technical governance" + perspective: "Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns." + + - id: domain_expert + name: "Domain Expert" + title: "Domain Expert" + specialties: + - "domain-driven design" + - "bounded contexts" + - "ubiquitous language" + disciplines: + - "business logic modeling" + - "domain analysis" + - "requirements engineering" + skillsets: + - "translating business needs to technical solutions" + - "identifying core domain concepts" + - "defining domain boundaries" + domains: + - "business logic representation" + - "semantic accuracy" + - "model integrity" + perspective: "Evaluates how well the architecture represents and serves the problem domain and business concepts." + + - id: security_specialist + name: "Security Specialist" + title: "Security Specialist" + specialties: + - "threat modeling" + - "security patterns" + - "data protection" + disciplines: + - "security analysis" + - "risk assessment" + - "vulnerability identification" + skillsets: + - "identifying security implications" + - "recommending security controls" + - "evaluating authentication/authorization approaches" + domains: + - "system security" + - "data protection" + - "access control" + perspective: "Reviews the architecture from a security-first perspective, identifying potential vulnerabilities and security implications." + + - id: maintainability_expert + name: "Maintainability Expert" + title: "Maintainability Expert" + specialties: + - "code quality" + - "refactoring" + - "technical debt" + disciplines: + - "code organization" + - "complexity analysis" + - "maintainability metrics" + skillsets: + - "identifying maintenance bottlenecks" + - "assessing technical debt" + - "simplifying complex structures" + domains: + - "code maintainability" + - "architectural clarity" + - "evolutionary design" + perspective: "Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding." + + - id: performance_specialist + name: "Performance Specialist" + title: "Performance Specialist" + specialties: + - "performance optimization" + - "resource utilization" + - "scalability planning" + disciplines: + - "performance analysis" + - "bottleneck identification" + - "efficiency improvement" + skillsets: + - "profiling system performance" + - "identifying performance critical paths" + - "optimizing resource usage" + domains: + - "system performance" + - "response time" + - "throughput" + perspective: "Focuses on performance implications of architectural decisions and suggests optimizations." + + - id: implementation_strategist + name: "Implementation Strategist" + title: "Implementation Strategist" + specialties: + - "change sequencing" + - "blast radius analysis" + - "reversibility design" + - "team readiness assessment" + - "migration planning" + disciplines: + - "change management" + - "risk analysis" + - "phased rollouts" + - "impact assessment" + - "timing optimization" + skillsets: + - "evaluating change impact scope" + - "designing reversible architectures" + - "assessing system and team readiness" + - "sequencing dependent changes" + - "calculating social cost of changes" + domains: + - "implementation timing" + - "change risk management" + - "architectural evolution" + - "team capability alignment" + perspective: "Evaluates HOW and WHEN changes should be implemented, considering blast radius, reversibility, technical readiness, team capability, and timing. Asks 'Is the system ready?' and 'Is the team ready?' before 'Can we build it?'" + + - id: ai_engineer + name: "AI Engineer" + title: "AI Engineer" + specialties: + - "AI/ML integration" + - "LLM application design" + - "agent-based systems" + - "AI evaluation frameworks" + - "agent orchestration" + disciplines: + - "applied AI" + - "prompt engineering" + - "agent workflow design" + - "AI system observability" + - "multi-agent coordination" + skillsets: + - "building practical AI solutions" + - "evaluating user experience with AI" + - "integrating AI components" + - "designing AI metrics and benchmarks" + - "implementing observability systems" + domains: + - "end-user AI applications" + - "AI development workflows" + - "practical implementation" + - "AI system evaluation" + - "observability and metrics" + perspective: "Evaluates the architecture from an AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns." + + - id: pragmatic_enforcer + name: "Pragmatic Enforcer" + title: "YAGNI Guardian & Simplicity Advocate" + specialties: + - "YAGNI principles" + - "incremental design" + - "complexity analysis" + - "requirement validation" + - "minimum viable solutions" + disciplines: + - "scope management" + - "cost-benefit analysis" + - "technical debt prevention" + - "simplification strategies" + - "deferral decision-making" + skillsets: + - "identifying premature optimization" + - "challenging unnecessary abstractions" + - "proposing simpler alternatives" + - "calculating cost of waiting" + - "questioning best-practice applicability" + domains: + - "implementation simplicity" + - "requirement sufficiency" + - "appropriate complexity" + perspective: "Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem." + mode_specific: + active_when: "pragmatic_mode.enabled == true" + tunable: true + default_phases: + - "individual_reviews" + - "collaborative_discussions" + - "implementation_planning" + - "adr_creation" + + - id: python_expert + name: "Dr. Sarah Chen" + title: "Python Expert" + specialties: + - "Python best practices" + - "Package architecture" + - "Type hints and mypy" + disciplines: + - "Pythonic code" + - "Testing patterns" + - "Performance optimization" + skillsets: + - "Modern Python (3.10+)" + - "Async/await" + - "Data structures" + domains: + - "Backend services" + - "Data processing" + - "API development" + perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" + +review_process: + individual_phase: + description: "Each member reviews the architecture independently, focusing on their area of expertise." + deliverable: "Individual member review section in the review document." + + collaborative_phase: + description: "Members confer to discuss findings, resolve conflicting perspectives, and prioritize recommendations." + deliverable: "Consolidated findings and balanced recommendations." + + final_report_phase: + description: "Produce a comprehensive architectural review that balances all perspectives." + deliverable: "Final architectural review document with actionable recommendations." \ No newline at end of file diff --git a/.architecture/principles.md b/.architecture/principles.md new file mode 100644 index 0000000..bbe74e8 --- /dev/null +++ b/.architecture/principles.md @@ -0,0 +1,275 @@ +# Architectural Principles + +This document outlines the core architectural principles that guide all design decisions in the project. These principles should be referenced when making architectural decisions, evaluating designs, and conducting reviews. + +## Wisdom From Software Pioneers + +> "Any fool can write code that a computer can understand. Good programmers write code that humans can understand." +> — **Martin Fowler** + +> "Bad programmers worry about the code. Good programmers worry about data structures and their relationships." +> — **Linus Torvalds** + +> "The heart of software is its ability to solve domain-related problems for its user." +> — **Eric Evans** + +> "I'm not a great programmer; I'm just a good programmer with great habits." +> — **Kent Beck** + +> "Adding manpower to a late software project makes it later." +> — **Fred Brooks** + +> "Clean code is simple and direct. Clean code reads like well-written prose." +> — **Robert C. Martin** + +> "Do The Simplest Thing That Could Possibly Work" +> — **Kent Beck** + +> "You don't send messages because you have objects, you have objects because you send messages." +> — **Sandi Metz** + +> "Your application needs to work right now just once; it must be easy to change forever." +> — **Sandi Metz** + +> "The modern practice of software isn't much like architecture or construction. The buildings are largely built. These days, we make a pre-built space work for whoever lives there." +> — **Sarah Mei** + +## Core Principles + +### 0. Livable Code + +**Description**: Software should be designed for the people who need to live in it, not just for architectural purity or technical elegance. + +**Rationale**: Developers spend most of their time working with existing code. A codebase should be comfortable to inhabit, maintain, and evolve over time. + +**Wisdom**: +> "Is your code the kind of cluttered house you might find on a reality TV show? Or the kind of sleek, minimalist house you might find in an architectural magazine? Neither one sounds like a place you could comfortably live." +> — **Sarah Mei** + +**Application**: +- Design for the day-to-day experience of developers working in the codebase +- Balance technical purity with practical needs +- Consider the cognitive load of navigating the system +- Focus on making the codebase welcoming to newcomers +- Debug communication patterns when code smells persist + +### 1. Clarity over Cleverness + +**Description**: Prefer simple, clear designs over clever, complex solutions, even when the latter might be more elegant or slightly more efficient. + +**Rationale**: Clear designs are easier to understand, maintain, extend, and debug. They reduce cognitive load and make onboarding new developers faster. + +**Wisdom**: +> "I define architecture as a word we use when we want to talk about design but want to puff it up to make it sound important." +> — **Martin Fowler** + +**Application**: +- Favor straightforward implementations over complex abstractions +- Use established patterns over novel approaches when possible +- Document the "why" behind design decisions, not just the "how" +- If you have to explain how it works, it's probably too complex + +### 2. Separation of Concerns + +**Description**: Systems should be divided into distinct features with minimal overlap in functionality. Each component should have a clear responsibility. + +**Rationale**: Well-separated components can be developed, tested, and maintained independently, reducing cognitive load and simplifying changes. + +**Wisdom**: +> "The Single Responsibility Principle. A Module should be responsible to one, and only one, actor." +> — **Robert C. Martin** + +**Application**: +- Define clear boundaries between subsystems +- Design components with single responsibilities +- Avoid shared state and hidden dependencies +- Use interfaces to decouple implementation details +- Focus on the domain model as the heart of your system + +### 3. Evolvability + +**Description**: The architecture should facilitate change and evolution over time without requiring complete rewrites. + +**Rationale**: Requirements always change, and the ability to adapt is essential for long-term sustainability. + +**Wisdom**: +> "Architecture represents the significant design decisions that shape a system, where significant is measured by cost of change." +> — **Grady Booch** + +> "The future is uncertain and you will never know less than you know right now." +> — **Sandi Metz** + +**Application**: +- Design for extensibility at key variation points +- Create stable interfaces between components +- Use abstraction layers to isolate changes +- Anticipate and plan for version transitions +- Create a model that gives the development team leverage against complexity +- Resist the urge to overdesign for imagined future needs + +### 4. Observability + +**Description**: The system should provide insights into its behavior, performance, and state. + +**Rationale**: Effective monitoring, debugging, and performance optimization require visibility into system operation. + +**Wisdom**: +> "Truth can only be found in one place: the code." +> — **Robert C. Martin** + +**Application**: +- Build in logging, metrics, and tracing from the start +- Make error states and edge cases explicit and observable +- Design components to expose health and performance data +- Create clear audit trails for important operations +- Favor explicit over implicit behavior + +### 5. Security by Design + +**Description**: Security must be an integral part of the architecture, not an afterthought. + +**Rationale**: Retrofitting security is more expensive, less effective, and often leaves vulnerabilities. + +**Wisdom**: +> "Code, without tests, is not clean. No matter how elegant it is, no matter how readable and accessible, if it hath not tests, it be unclean." +> — **Robert C. Martin** + +**Application**: +- Implement proper authentication and authorization at all levels +- Apply principle of least privilege +- Design for secure defaults +- Perform threat modeling during design phase +- Validate all inputs and sanitize all outputs + +### 6. Domain-Centric Design + +**Description**: The architecture should reflect and serve the problem domain, with a ubiquitous language that bridges technical and business concerns. + +**Rationale**: When the model and implementation are closely aligned with the business domain, the system is more likely to meet user needs and adapt to changes in requirements. + +**Wisdom**: +> "A model is a selectively simplified and consciously structured form of knowledge." +> — **Eric Evans** + +**Application**: +- Create a ubiquitous language shared by developers and domain experts +- Model the domain, not just the data +- Separate core domain from supporting subdomains +- Make implicit concepts explicit in the model +- Continuously refine the model as understanding deepens + +### 7. Pragmatic Simplicity + +**Description**: Favor practical, working solutions over theoretical perfection. Recognize that software architecture is an exercise in managing complexity, not eliminating it. + +**Rationale**: Theoretical purity often adds complexity without proportional benefit. Real systems must balance many competing concerns. + +**Wisdom**: +> "Theory and practice sometimes clash. And when that happens, theory loses. Every single time." +> — **Linus Torvalds** + +> "Instead of deciding on a class and then figuring out its responsibilities, you are now deciding on a message and figuring out where to send it. This transition from class-based design to message-based design is a turning point in your design career." +> — **Sandi Metz** + +**Application**: +- Value working software over comprehensive documentation +- Make incremental improvements rather than seeking perfection +- Question abstractions that don't demonstrably simplify the system +- Consider operational concerns alongside architectural purity +- Be willing to make pragmatic trade-offs when necessary +- Design from messages outward, not from classes inward +- When the future cost of doing nothing is the same as the current cost, postpone the decision + +### 8. Change Impact Awareness + +**Description**: Every architectural decision should explicitly consider its blast radius, reversibility, timing, and social cost before implementation. + +**Rationale**: Senior engineers instinctively evaluate these factors, but this "silent checklist" rarely gets documented. Making change impact explicit enables better decisions and knowledge sharing. + +**Wisdom**: +> "The act of explanation does something important. It slows you down enough to notice when your instincts are off. It also makes your reasoning visible in a way that solo work rarely does." +> — **Obie Fernandez** + +**Application**: +- **Blast Radius**: Identify the scope of impact if a change fails or needs reversal. Which components, teams, and users are affected? +- **Reversibility**: Design changes to be reversible when possible. Ask "If we're wrong, how hard is it to undo?" Prefer approaches that keep options open. +- **Sequencing & Timing**: Consider whether the system and team are ready for a change. A technically correct change can still be wrong if introduced at the wrong time. +- **Social Cost**: Evaluate whether a solution will confuse more people than it helps. Consider the learning curve and cognitive load on the team. +- **False Confidence**: Question whether tests passing actually validates the model is correct. Look for places where implementation correctness doesn't guarantee solution correctness. +- **Change Characterization**: Clarify whether you're introducing a new idea or expressing an existing one in a new place. Understand if changes belong at the surface or deep in the system. +- **Spread Analysis**: If this pattern or approach spreads across the codebase, is that desirable or a liability? + +**Examples**: + +*Good - High Impact Awareness:* +``` +Decision: Introduce new authentication pattern +Blast Radius: Affects 23 services, 4 teams, requires coordination +Reversibility: Medium - can rollback but requires migration scripts +Timing: System ready (observability in place), but Team B needs training +Social Cost: High learning curve, but improves long-term maintainability +Decision: Proceed with phased rollout, Team B training first +``` + +*Bad - Ignoring Impact:* +``` +Decision: Introduce new authentication pattern +Implementation: Changed all services in one release +Result: Outage across all services, no rollback plan, team confused +``` + +### 9. Pythonic Design + +**Description**: Follow established Python conventions and leverage the language's specific features and ecosystem effectively. + +**Rationale**: Idiomatic Python is more readable, maintainable, and performant. Fighting the language or importing idioms from other languages leads to friction. + +**Application**: +- **Explicit Over Implicit**: Make behavior clear, avoid magic, prefer explicit configuration. +- **Leverage the Standard Library**: Use built-in features (e.g., `collections`, `itertools`) before adding dependencies. +- **Type Hints**: Use type hints (`typing`) to document interfaces and enable static analysis (e.g., `mypy`), especially for public APIs and complex data structures. +- **Pythonic Code**: Use list comprehensions, generators, and context managers (`with` statements) where appropriate. Avoid C-style loops or getter/setter methods unless necessary. +- **Ecosystem Patterns**: Adhere to PEP 8 guidelines. + +## Implementation Guidelines + +### Documentation + +All significant architectural decisions should be documented in Architectural Decision Records (ADRs) that explain: +- The context and problem being addressed +- The decision that was made +- The consequences (positive and negative) +- Alternatives that were considered + +### Review Process + +Architectural changes should be reviewed against these principles. Reviews should explicitly address: +- How the change upholds or challenges each principle +- Trade-offs made between principles when they conflict +- Measures to mitigate any negative consequences + +### Exceptions + +Exceptions to these principles may be necessary in specific circumstances. When making exceptions: +- Document the exception and its justification +- Define the scope and boundaries of the exception +- Create a plan to eliminate or reduce the exception over time if possible +- Get approval from the architecture team + +## Evolution of Principles + +These principles should be reviewed and potentially revised: +- At the start of each major version development cycle +- When consistently encountering situations where the principles seem inadequate +- When new team members bring valuable alternative perspectives + +Proposed changes to principles should be discussed by the entire architecture team and require consensus to adopt. + +> "I will contend that conceptual integrity is the most important consideration in system design." +> — **Fred Brooks** + +> "Successful (working) but undesigned applications carry the seeds of their own destruction; they are easy to write, but gradually become impossible to change." +> — **Sandi Metz** + +> "By reflecting on code that's been written, and 'code smells' that keep coming up, you can determine missing links in communication. You could continue to solve those code smells. You could refactor them all away - once per sprint even! However, that's only addressing the symptoms. The underlying problem is more likely to be one of communication." +> — **Sarah Mei** \ No newline at end of file diff --git a/.architecture/quarterly-review-process.md b/.architecture/quarterly-review-process.md new file mode 100644 index 0000000..4fb5d82 --- /dev/null +++ b/.architecture/quarterly-review-process.md @@ -0,0 +1,447 @@ +# Quarterly Review Process + +**Version**: 1.0.0 +**Created**: 2025-12-04 +**Schedule**: March 1, June 1, September 1, December 1 +**Related**: [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md), [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) + +## Purpose + +Quarterly review of framework documentation to ensure we maintain instruction capacity constraints, documentation quality, and alignment with user needs. + +## Review Schedule + +**Frequency**: Quarterly (every 3 months) + +**Dates**: March 1, June 1, September 1, December 1 + +**Duration**: 2-4 hours + +**Trigger**: Calendar date OR major framework changes (>20% documentation updates) + +## Roles and Responsibilities + +**Primary Reviewer**: Framework maintainer or designated contributor + +**Stakeholders**: +- Framework users (feedback collection) +- Documentation contributors +- Architecture team (for validation) + +## Review Checklist + +### Phase 1: Instruction Capacity Audit (30-45 min) + +**Objective**: Verify we're within instruction capacity targets. + +**Tasks**: + +- [ ] **Count AGENTS.md instructions** + - Method: Run `cd tools && npm run count` + - Alternative: Manual count using [instruction-counting-methodology.md](instruction-counting-methodology.md) + - Target: < 150 instructions + - Record: Current count, change from last review + - Action if over: Identify candidates for agent_docs/ migration + +- [ ] **Count CLAUDE.md instructions** + - Method: Run `cd tools && npm run count` + - Alternative: Manual count using [instruction-counting-methodology.md](instruction-counting-methodology.md) + - Target: < 30 instructions + - Record: Current count, change from last review + - Action if over: Remove or consolidate instructions + +- [ ] **Check line counts** + - AGENTS.md target: < 500 lines (current: 418) ✅ + - CLAUDE.md target: < 100 lines (current: 126) ⚠️ + - agent_docs/ total: No limit (progressive disclosure) + - Tool: `wc -l AGENTS.md CLAUDE.md .architecture/agent_docs/*.md` + +- [ ] **Validate total budget** + - Total instructions across AGENTS.md + CLAUDE.md + - Target: < 180 (accounting for Claude Code's ~50) + - Current budget used: ~134/180 ✅ + +**Document findings**: Update `.architecture/reviews/instruction-capacity-audit-YYYY-QN.md` + +### Phase 2: Quality Assessment (30-45 min) + +**Objective**: Ensure documentation is clear, accurate, and useful. + +**Tasks**: + +- [ ] **Check for instruction bloat** + - Redundant instructions (same directive stated multiple ways) + - Obsolete instructions (features removed, processes changed) + - Over-specific instructions (too granular, could be generalized) + - Action: Consolidate or remove + +- [ ] **Validate all internal links** + - Method: Run `cd tools && npm run validate` + - Alternative: Manual check of links + - Checks: Links to .architecture/, agent_docs/, between ADRs and reviews + - Action: Fix broken links immediately + +- [ ] **Review examples for staleness** + - Code examples still current? + - Command examples still work? + - Configuration examples match current config.yml? + - Version numbers current? + - Action: Update stale examples + +- [ ] **Check consistency** + - Terminology consistent across files? + - Formatting consistent? + - Style guide followed? + - Action: Standardize inconsistencies + +**Document findings**: Update `.architecture/reviews/documentation-quality-YYYY-QN.md` + +### Phase 3: Usage Pattern Analysis (30-45 min) + +**Objective**: Understand how documentation is being used and optimize accordingly. + +**Tasks**: + +- [ ] **Analyze usage patterns** + - Which agent_docs/ sections most accessed? + - Which workflows most commonly requested? + - Which documentation paths most followed? + - Source: User feedback, GitHub issues, community discussions + - Tool: Review issue tracker for documentation questions + +- [ ] **Identify gaps** + - Common questions not answered by current docs? + - Missing workflows or procedures? + - Unclear sections (frequent follow-up questions)? + - Source: User feedback, support requests + - Action: Add to documentation backlog + +- [ ] **Evaluate progressive disclosure effectiveness** + - Do users find what they need? + - Are pointers clear and helpful? + - Is navigation intuitive? + - Source: User feedback + - Action: Improve navigation or pointers + +- [ ] **Check agent_docs/ file sizes** + - Any files exceeding 300-400 lines? + - Would splitting improve findability? + - Apply pragmatic principle: split only if justified + - Action: Split if evidence supports it + +**Document findings**: Update `.architecture/reviews/usage-patterns-YYYY-QN.md` + +### Phase 4: User Feedback Collection (15-30 min) + +**Objective**: Gather direct feedback from framework users. + +**Tasks**: + +- [ ] **Review user feedback channels** + - GitHub issues tagged 'documentation' + - GitHub discussions + - Pull request comments + - Direct user reports + - Community channels + +- [ ] **Key questions to answer**: + - What's working well? + - What's confusing or hard to find? + - What's missing? + - Is AI assistant following instructions correctly? + - Are instruction capacity improvements noticeable? + +- [ ] **Quantitative metrics** (if available): + - Time to complete common tasks + - User satisfaction scores + - Task completion rates + - AI assistant effectiveness ratings + +- [ ] **Qualitative feedback**: + - User testimonials + - Specific pain points + - Improvement suggestions + +**Document findings**: Update `.architecture/reviews/user-feedback-YYYY-QN.md` + +### Phase 5: Refactoring and Improvements (45-90 min) + +**Objective**: Implement improvements based on review findings. + +**Tasks**: + +- [ ] **Address capacity issues** + - If AGENTS.md over budget: Move content to agent_docs/ + - If CLAUDE.md over budget: Consolidate or remove + - If total budget tight: Prioritize highest-value instructions + +- [ ] **Fix identified problems** + - Broken links → Fix immediately + - Stale examples → Update + - Inconsistencies → Standardize + - Gaps → Add to backlog or implement if quick + +- [ ] **Implement quick wins** + - Minor clarifications + - Navigation improvements + - Formatting fixes + - Small additions + +- [ ] **Plan larger improvements** + - Major restructuring + - New sections or guides + - Significant rewrites + - Create issues or ADRs as appropriate + +- [ ] **Update documentation version numbers** + - AGENTS.md if changed + - CLAUDE.md if changed + - agent_docs/ files if changed + - Include change summary + +**Track changes**: Commit with clear message referencing quarterly review + +### Phase 6: Reporting and Planning (15-30 min) + +**Objective**: Document review outcomes and plan next steps. + +**Tasks**: + +- [ ] **Create review summary** + - Instruction counts (current vs. targets) + - Key findings from each phase + - Actions taken during review + - Actions deferred to backlog + - Next review date + +- [ ] **Update tracking metrics** + - Historical instruction counts + - Documentation growth trends + - User satisfaction trends + - Common issues trends + +- [ ] **Plan for next quarter** + - Known upcoming changes + - Deferred improvements from this review + - Expected documentation needs + +- [ ] **Communicate results** + - Update repository documentation + - Notify contributors + - Share with community if appropriate + +**Document**: Create `.architecture/reviews/quarterly-review-YYYY-QN-summary.md` + +## Review Templates + +### Instruction Capacity Audit Template + +```markdown +# Instruction Capacity Audit - YYYY Q# + +**Review Date**: YYYY-MM-DD +**Reviewer**: [Name] + +## Instruction Counts + +| Document | Target | Current | Last Quarter | Change | Status | +|----------|--------|---------|--------------|--------|--------| +| AGENTS.md | < 150 | X | Y | +/- Z | ✅/⚠️/❌ | +| CLAUDE.md | < 30 | X | Y | +/- Z | ✅/⚠️/❌ | +| **Total** | < 180 | X | Y | +/- Z | ✅/⚠️/❌ | + +## Line Counts + +| Document | Target | Current | Status | +|----------|--------|---------|--------| +| AGENTS.md | < 500 | X | ✅/⚠️/❌ | +| CLAUDE.md | < 100 | X | ✅/⚠️/❌ | + +## Findings + +### Over Budget Items +[List any documents exceeding targets] + +### Instruction Bloat +[Redundant, obsolete, or unnecessary instructions identified] + +### Recommendations +[Specific actions to take] + +## Actions Taken + +- [ ] Action 1 +- [ ] Action 2 + +## Deferred to Backlog + +- [ ] Item 1 +- [ ] Item 2 +``` + +### User Feedback Template + +```markdown +# User Feedback Summary - YYYY Q# + +**Review Date**: YYYY-MM-DD +**Reviewer**: [Name] + +## Feedback Sources + +- GitHub Issues: [count] documentation-related +- GitHub Discussions: [count] threads reviewed +- Direct Reports: [count] received +- Other: [describe] + +## Key Themes + +### What's Working Well +- Theme 1: [description] +- Theme 2: [description] + +### Pain Points +- Issue 1: [description + frequency] +- Issue 2: [description + frequency] + +### Missing Documentation +- Gap 1: [what users need] +- Gap 2: [what users need] + +## Quantitative Metrics + +| Metric | Value | Target | Status | +|--------|-------|--------|--------| +| User satisfaction | X/10 | > 8/10 | ✅/⚠️/❌ | +| Time-to-find info | X seconds | < 60s | ✅/⚠️/❌ | +| Task completion rate | X% | > 90% | ✅/⚠️/❌ | + +## Recommendations + +1. [Priority 1 improvement] +2. [Priority 2 improvement] +3. [Priority 3 improvement] + +## Actions + +- [ ] Immediate: [quick fixes] +- [ ] Short-term: [this quarter] +- [ ] Long-term: [future quarters] +``` + +## Success Metrics + +Track these metrics over time: + +| Metric | Target | Measurement | +|--------|--------|-------------| +| **AGENTS.md instruction count** | < 150 | Manual count per methodology | +| **CLAUDE.md instruction count** | < 30 | Manual count per methodology | +| **Total instruction budget used** | < 180 | Sum of above | +| **User satisfaction** | > 8/10 | User surveys, feedback | +| **Time-to-find documentation** | < 60 seconds | User testing | +| **Documentation-related issues** | Decreasing | GitHub issue count | +| **AI assistant effectiveness** | > 8/10 | User reports | + +## Historical Tracking + +Maintain a simple tracking document: + +```markdown +# Documentation Metrics History + +| Quarter | AGENTS.md | CLAUDE.md | Total | User Sat | Notes | +|---------|-----------|-----------|-------|----------|-------| +| 2025-Q1 | 120 | 14 | 134 | 8.5/10 | Initial optimization | +| 2025-Q2 | ? | ? | ? | ? | [Add notes] | +``` + +Location: `.architecture/documentation-metrics.md` + +## Continuous Improvement + +### Between Quarterly Reviews + +**Ad-hoc checks**: +- After major documentation changes (> 20% of file) +- When adding new features requiring documentation +- If user feedback indicates documentation problems +- Before major version releases + +**Ongoing activities**: +- Monitor documentation-related issues +- Collect user feedback continuously +- Fix broken links immediately when found +- Update stale examples as noticed + +### Adapting the Process + +This process should evolve based on experience: + +**Triggers for process updates**: +- Review takes significantly more/less time than estimated +- Steps consistently yield no findings +- New tools or methods available +- User needs change +- Framework grows or changes significantly + +**Update process**: +1. Identify what's not working +2. Propose changes to process +3. Test changes for one cycle +4. Evaluate and adopt or revert + +## Tools and Resources + +**Required**: +- [instruction-counting-methodology.md](instruction-counting-methodology.md) +- Text editor or IDE +- Terminal (for `wc -l` line counting) +- GitHub issue tracker access + +**Automated Tools** (in `tools/` directory): +- `npm run validate` - Validates markdown links +- `npm run count` - Counts instructions with target checking +- See [tools/README.md](../tools/README.md) for full documentation + +**Helpful**: +- Diff tool for comparing changes +- User feedback collection system +- Analytics (if available) + +## Questions or Issues + +**Process unclear?** +- Review [documentation-guidelines.md](documentation-guidelines.md) +- Check [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) and [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) +- Open GitHub issue for process improvements + +**Can't complete review?** +- Review as much as possible +- Document what's missing +- Seek help from framework maintainers +- Defer complex items to next review + +## Next Review + +**Date**: [Next scheduled date] + +**Reminder**: Set calendar reminder 1 week before review date + +**Preparation**: +- Collect user feedback throughout quarter +- Note documentation issues as they arise +- Track framework changes affecting documentation + +## Version History + +| Version | Date | Changes | +|---------|------|---------| +| 1.0.0 | 2025-12-04 | Initial process based on ADR-005 and ADR-006 implementation | + +## References + +- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) +- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) +- [Documentation Guidelines](documentation-guidelines.md) +- [Instruction Counting Methodology](instruction-counting-methodology.md) diff --git a/.architecture/recalibration/0-1-0.md b/.architecture/recalibration/0-1-0.md new file mode 100644 index 0000000..c3877a6 --- /dev/null +++ b/.architecture/recalibration/0-1-0.md @@ -0,0 +1,96 @@ +# Architectural Recalibration Plan: Version 0.1.0 + +## Overview + +This document outlines the action plan derived from the architectural review of version 0.1.0 of the AI Software Architect CLI tool. It categorizes and prioritizes recommendations to guide implementation across upcoming releases. + +## Review Summary + +- Review Date: May 23, 2025 +- Review Document: [0-1-0.md](../reviews/0-1-0.md) +- Participants: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer + +## Action Items + +### Architectural Changes + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| A1 | Implement component interfaces with dependency inversion | Critical | TBD | 0.1.0 | None | Foundation for plugin architecture | +| A2 | Create plugin architecture for language/framework analyzers | Critical | TBD | 0.1.0 | A1 | Enable extensibility for different project types | +| A3 | Develop event-based system for component communication | High | TBD | 0.2.0 | A1 | Reduces coupling between components | +| A4 | Design comprehensive configuration schema with validation | Medium | TBD | 0.2.0 | None | Standardizes configuration options | +| A5 | Implement AI-readable metadata in generated artifacts | High | TBD | 0.2.0 | None | Enhances AI assistant integration | + +### Implementation Improvements + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| I1 | Create security safeguards for repository analysis | Critical | TBD | 0.1.0 | None | Prevent access to sensitive files | +| I2 | Implement validation system for generated artifacts | Critical | TBD | 0.1.0 | None | Ensure quality of output files | +| I3 | Develop template customization mechanisms | High | TBD | 0.2.0 | None | Balance flexibility and consistency | +| I4 | Add performance optimizations for large repositories | High | TBD | 0.2.0 | None | Progressive analysis and caching | +| I5 | Create robust error recovery for partial failures | Medium | TBD | 0.2.0 | None | Graceful handling of errors | + +### Documentation Enhancements + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| D1 | Create comprehensive CLI documentation | High | TBD | 0.1.0 | None | Usage guides and examples | +| D2 | Develop assistant-specific guidance files | High | TBD | 0.2.0 | A5 | Optimal prompting patterns | +| D3 | Document extension points and plugin creation | Medium | TBD | 0.2.0 | A2 | For developers creating new analyzers | +| D4 | Create architectural patterns reference | Medium | TBD | 0.3.0 | None | Common patterns by project type | +| D5 | Develop integration guides for CI/CD systems | Low | TBD | 0.3.0 | None | Automated usage scenarios | + +### Process Adjustments + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| P1 | Establish testing strategy with high coverage | Critical | TBD | 0.1.0 | None | Particularly for analyzer components | +| P2 | Create integration testing with sample repositories | High | TBD | 0.2.0 | None | Validate end-to-end functionality | +| P3 | Develop versioning strategy for tool and framework alignment | Medium | TBD | 0.2.0 | None | Keep versions in sync | +| P4 | Implement automated performance benchmarking | Low | TBD | 0.3.0 | None | Track performance across versions | +| P5 | Create user feedback collection mechanism | Medium | TBD | 0.3.0 | None | Gather data on tool effectiveness | + +## Technical Debt Items + +Items identified in the review that won't be addressed immediately but should be tracked: + +| ID | Description | Impact | Potential Resolution Timeframe | +|----|-------------|--------|--------------------------------| +| TD1 | Complexity of supporting multiple AI assistants | Medium | Version 0.3.0 | +| TD2 | Limited visualization capabilities | Low | Version 1.0.0 | +| TD3 | Lack of metrics for measuring architecture quality | Medium | Version 0.4.0 | +| TD4 | Manual testing of edge cases | High | Version 0.2.0 | +| TD5 | Limited domain-specific template variations | Medium | Version 0.3.0 | + +## Decision Records + +List of Architectural Decision Records (ADRs) that need to be created or updated based on the review: + +| ADR ID | Title | Status | Owner | Target Completion | +|--------|-------|--------|-------|-------------------| +| ADR-001 | CLI Functional Requirements | Accepted | TBD | Completed | +| ADR-002 | CLI Component Architecture | Draft | TBD | Before 0.1.0 | +| ADR-003 | Repository Analysis Strategy | Draft | TBD | Before 0.1.0 | +| ADR-004 | Template Generation Approach | Draft | TBD | Before 0.1.0 | +| ADR-005 | Plugin Architecture | Draft | TBD | Before 0.2.0 | + +## Timeline + +Overview of the recalibration implementation timeline: + +- Analysis & Prioritization: May 23, 2025 - May 25, 2025 +- Architectural Plan Update: May 26, 2025 - May 30, 2025 +- Documentation Refresh: May 31, 2025 - June 5, 2025 +- Implementation Roadmapping: June 6, 2025 - June 10, 2025 + +## Next Steps + +Immediate next actions to be taken: + +1. Complete ADR-002 for CLI Component Architecture +2. Create initial implementation of core interfaces and components +3. Implement basic repository analysis for common languages +4. Develop security safeguards for repository analysis +5. Establish testing strategy and initial test suite \ No newline at end of file diff --git a/.architecture/recalibration/implementation_roadmap_0-1-0.md b/.architecture/recalibration/implementation_roadmap_0-1-0.md new file mode 100644 index 0000000..faf2b6b --- /dev/null +++ b/.architecture/recalibration/implementation_roadmap_0-1-0.md @@ -0,0 +1,273 @@ +# Implementation Roadmap for Version 0.1.0 + +## Overview + +This document outlines the implementation plan for the AI Software Architect CLI tool based on the architectural review and recalibration plan for version 0.1.0. It breaks down high-level architectural changes into implementable tasks, assigns them to specific versions, and establishes acceptance criteria. + +## Target Versions + +This roadmap covers the following versions: +- **0.1.0**: Foundation release with core functionality and critical features +- **0.2.0**: Enhancement release focusing on extensibility and template customization +- **0.3.0**: Integration release adding AI assistant features and domain-specific improvements + +## Implementation Areas + +### Area 1: Core Architecture + +**Overall Goal**: Establish a modular, extensible foundation with clean separation of concerns + +#### Tasks for Version 0.1.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| CA1.1 | Define core interfaces for major components | None | Medium | TBD | Interface contract tests | +| CA1.2 | Implement dependency injection container | CA1.1 | Medium | TBD | DI resolution tests | +| CA1.3 | Create command line argument parser | None | Low | TBD | Argument parsing tests | +| CA1.4 | Implement configuration management system | CA1.2 | Medium | TBD | Config loading/validation tests | +| CA1.5 | Develop logging and error handling framework | None | Low | TBD | Error propagation tests | + +**Acceptance Criteria**: +- [ ] All components communicate through well-defined interfaces +- [ ] Components can be replaced with alternative implementations +- [ ] Configuration is externalized and validated +- [ ] Errors are handled gracefully with appropriate logging + +#### Tasks for Version 0.2.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| CA2.1 | Implement event system for inter-component communication | CA1.1 | Medium | TBD | Event propagation tests | +| CA2.2 | Create plugin loader for analyzers and generators | CA1.2 | High | TBD | Plugin discovery tests | +| CA2.3 | Develop plugin SDK and documentation | CA2.2 | Medium | TBD | SDK usage tests | +| CA2.4 | Implement feature toggles for optional capabilities | CA1.4 | Low | TBD | Feature flag tests | + +**Acceptance Criteria**: +- [ ] Events can be published and subscribed across components +- [ ] Plugins can be dynamically discovered and loaded +- [ ] External developers can create plugins using the SDK +- [ ] Features can be enabled/disabled through configuration + +### Area 2: Repository Analysis + +**Overall Goal**: Create a robust, secure system for analyzing repositories to inform architecture generation + +#### Tasks for Version 0.1.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| RA1.1 | Implement repository scanner for detecting languages | None | Medium | TBD | Language detection tests | +| RA1.2 | Create security filtering for sensitive paths | None | High | TBD | Security boundary tests | +| RA1.3 | Develop framework detection for common technologies | RA1.1 | High | TBD | Framework detection tests | +| RA1.4 | Implement code style analysis | RA1.1 | Medium | TBD | Style detection tests | +| RA1.5 | Create project structure analyzer | None | Medium | TBD | Structure analysis tests | + +**Acceptance Criteria**: +- [ ] Accurately detects languages used in the repository +- [ ] Prevents access to sensitive files and directories +- [ ] Identifies common frameworks and libraries +- [ ] Determines coding style and documentation patterns +- [ ] Analyzes project structure and organization + +#### Tasks for Version 0.2.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| RA2.1 | Implement incremental analysis for large repositories | RA1.1 | High | TBD | Performance tests | +| RA2.2 | Create caching system for analysis results | RA1.1 | Medium | TBD | Cache invalidation tests | +| RA2.3 | Develop domain model extraction capabilities | RA1.3 | High | TBD | Model extraction tests | +| RA2.4 | Implement architectural pattern recognition | RA1.5 | High | TBD | Pattern detection tests | + +**Acceptance Criteria**: +- [ ] Analyzes large repositories efficiently +- [ ] Caches results to avoid redundant analysis +- [ ] Extracts domain model concepts from code +- [ ] Recognizes common architectural patterns + +### Area 3: Architecture Generation + +**Overall Goal**: Generate tailored architectural documentation and configuration that aligns with project characteristics + +#### Tasks for Version 0.1.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| AG1.1 | Implement directory structure creator | None | Low | TBD | Directory creation tests | +| AG1.2 | Create template engine with variable substitution | None | Medium | TBD | Template rendering tests | +| AG1.3 | Develop members.yml generator based on project type | RA1.3 | Medium | TBD | Role generation tests | +| AG1.4 | Implement principles.md customization | RA1.3, RA1.4 | Medium | TBD | Principles adaptation tests | +| AG1.5 | Create validation system for generated artifacts | None | High | TBD | Validation rule tests | + +**Acceptance Criteria**: +- [ ] Creates complete directory structure with proper permissions +- [ ] Renders templates with project-specific variables +- [ ] Generates appropriate review roles based on project type +- [ ] Customizes principles document to align with project patterns +- [ ] Validates all generated artifacts for consistency and correctness + +#### Tasks for Version 0.2.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| AG2.1 | Implement template customization system | AG1.2 | High | TBD | Template customization tests | +| AG2.2 | Create domain-specific ADR templates | AG1.2, RA2.3 | Medium | TBD | Domain ADR tests | +| AG2.3 | Develop assistant configuration generators | None | Medium | TBD | Assistant config tests | +| AG2.4 | Implement architecture visualization generator | AG1.2, RA1.5 | High | TBD | Visualization tests | + +**Acceptance Criteria**: +- [ ] Allows users to customize templates while preserving structure +- [ ] Provides domain-specific ADR templates based on project analysis +- [ ] Generates configuration for multiple AI assistants +- [ ] Creates basic architectural visualizations + +### Area 4: User Experience + +**Overall Goal**: Provide a smooth, intuitive experience for users setting up the architecture framework + +#### Tasks for Version 0.1.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| UX1.1 | Implement interactive CLI workflow | CA1.3 | Medium | TBD | User journey tests | +| UX1.2 | Create progress reporting for long operations | CA1.5 | Low | TBD | Progress feedback tests | +| UX1.3 | Develop clear error messages and recovery suggestions | CA1.5 | Medium | TBD | Error message tests | +| UX1.4 | Implement non-interactive mode for scripting | CA1.3, CA1.4 | Medium | TBD | Script usage tests | +| UX1.5 | Create comprehensive help documentation | None | Low | TBD | Help system tests | + +**Acceptance Criteria**: +- [ ] Guides users through setup with clear prompts +- [ ] Shows progress for long-running operations +- [ ] Provides actionable error messages when problems occur +- [ ] Supports non-interactive usage for automation +- [ ] Includes comprehensive help and documentation + +#### Tasks for Version 0.2.0 + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| UX2.1 | Implement configuration file support | CA1.4 | Medium | TBD | Config file tests | +| UX2.2 | Create results summary and next steps guide | None | Low | TBD | Output format tests | +| UX2.3 | Develop interactive template customization | AG2.1 | Medium | TBD | Template editor tests | +| UX2.4 | Implement command suggestions based on context | None | Medium | TBD | Suggestion relevance tests | + +**Acceptance Criteria**: +- [ ] Supports configuration files for repeatable setups +- [ ] Provides clear summary and next steps after generation +- [ ] Allows interactive customization of templates +- [ ] Suggests relevant commands based on context + +## Implementation Approach + +### Breaking vs. Non-Breaking Changes + +The initial version (0.1.0) will establish the foundation, with subsequent releases adding features in a non-breaking manner. We'll maintain backward compatibility through: + +- Stable CLI interface with new commands rather than changing existing ones +- Configuration defaults that preserve backward compatibility +- Feature flags for new capabilities that might change behavior + +### Feature Flags + +| Flag Name | Purpose | Default Value | Removal Version | +|-----------|---------|---------------|-----------------| +| enable_advanced_analysis | Enable deeper code analysis features | false | 0.3.0 | +| enable_ai_metadata | Generate AI-readable metadata | false | 0.3.0 | +| enable_visualization | Generate architecture visualizations | false | 0.4.0 | +| enable_plugins | Support for external plugins | false | 0.3.0 | + +### Migration Support + +- Version 0.2.0 will include utilities to update artifacts generated by 0.1.0 +- Version 0.3.0 will provide migration paths for both 0.1.0 and 0.2.0 artifacts +- All migrations will preserve user customizations when possible + +## Testing Strategy + +### Component Tests + +- Each component will have comprehensive unit tests +- Interface contracts will be tested for all implementations +- Mock implementations will be used to isolate components + +### Integration Tests + +- End-to-end tests will verify complete workflows +- Sample repositories of various types will be used as test fixtures +- Cross-component interaction will be tested with real implementations + +### Migration Tests + +- Tests will verify that artifacts from previous versions can be properly updated +- User customizations will be included in migration test scenarios + +## Documentation Plan + +| Document | Update Required | Responsible | Deadline | +|----------|-----------------|-------------|----------| +| CLI Usage Guide | Create initial version | TBD | 0.1.0 release | +| Plugin Development Guide | Create for plugin SDK | TBD | 0.2.0 release | +| Architecture Framework Integration | Create initial version | TBD | 0.1.0 release | +| Template Customization Guide | Create for customization system | TBD | 0.2.0 release | +| AI Assistant Integration | Create initial version | TBD | 0.2.0 release | + +## Risk Assessment + +| Risk | Impact | Likelihood | Mitigation Strategy | +|------|--------|------------|---------------------| +| Inaccurate repository analysis | High | Medium | Conservative analysis with user confirmation for uncertain results | +| Performance issues with large repositories | Medium | High | Incremental analysis and progress reporting | +| Generated artifacts require significant manual adjustment | High | Medium | Template customization capabilities and validation system | +| Plugin system creates compatibility issues | Medium | Low | Strict plugin interface contracts and version compatibility checks | +| Security issues with repository analysis | High | Low | Path filtering, sensitive file detection, and user confirmation | + +## Timeline + +| Milestone | Target Date | Dependencies | Owner | +|-----------|-------------|--------------|-------| +| Core architecture implementation | June 15, 2025 | None | TBD | +| Basic repository analysis | June 30, 2025 | Core architecture | TBD | +| Initial artifact generation | July 15, 2025 | Repository analysis | TBD | +| Version 0.1.0 Release | July 31, 2025 | All 0.1.0 tasks | TBD | +| Plugin architecture implementation | August 15, 2025 | 0.1.0 Release | TBD | +| Advanced analysis capabilities | August 31, 2025 | Plugin architecture | TBD | +| Template customization system | September 15, 2025 | 0.1.0 Release | TBD | +| Version 0.2.0 Release | September 30, 2025 | All 0.2.0 tasks | TBD | + +## Progress Tracking + +Progress on this implementation roadmap will be tracked in: +- GitHub Issues and Projects +- Regular status meetings +- Progress tracking document in `.architecture/recalibration/progress_tracking_0-1-0.md` + +## Appendices + +### A. Architecture Diagrams + +#### Component Architecture + +``` +┌─────────────────────────────────────────────────────────────┐ +│ CLI Application │ +└───────────────┬─────────────────────────────────┬───────────┘ + │ │ + ▼ ▼ +┌───────────────────────────┐ ┌───────────────────────────┐ +│ │ │ │ +│ Repository Analyzer │ │ Architecture Generator │ +│ │ │ │ +└─┬─────────────┬─────────┬─┘ └─┬─────────────┬─────────┬─┘ + │ │ │ │ │ │ + ▼ ▼ ▼ ▼ ▼ ▼ +┌────────┐ ┌─────────┐ ┌────────┐ ┌────────┐ ┌─────────┐ ┌────────┐ +│Language│ │Framework│ │ Style │ │Template│ │Directory│ │Validator│ +│Detector│ │Detector │ │Analyzer│ │Engine │ │Creator │ │ │ +└────────┘ └─────────┘ └────────┘ └────────┘ └─────────┘ └────────┘ +``` + +### B. Relevant ADRs + +- [ADR-001: CLI Functional Requirements](../decisions/adrs/ADR-001-cli-functional-requirements.md) +- ADR-002: CLI Component Architecture (To be created) +- ADR-003: Repository Analysis Strategy (To be created) +- ADR-004: Template Generation Approach (To be created) \ No newline at end of file diff --git a/.architecture/recalibration/instruction-capacity-optimization.md b/.architecture/recalibration/instruction-capacity-optimization.md new file mode 100644 index 0000000..f7d3e76 --- /dev/null +++ b/.architecture/recalibration/instruction-capacity-optimization.md @@ -0,0 +1,764 @@ +# Architectural Recalibration Plan: Instruction Capacity Optimization + +## Overview + +This document outlines the implementation roadmap for ADR-005 (LLM Instruction Capacity Constraints) and ADR-006 (Progressive Disclosure Pattern), based on the comprehensive architecture review of HumanLayer's CLAUDE.md best practices article. + +**Context:** +- **Review Date**: 2025-12-04 +- **Review Document**: [claude-md-best-practices-humanlayer-article.md](../reviews/claude-md-best-practices-humanlayer-article.md) +- **Related ADRs**: + - [ADR-005: LLM Instruction Capacity Constraints](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - ACCEPTED + - [ADR-006: Progressive Disclosure Pattern](../decisions/adrs/ADR-006-progressive-disclosure-pattern.md) - ACCEPTED +- **Current Status**: Week 1 COMPLETE (2025-12-04) + +## Executive Summary + +All architecture members unanimously agreed on the critical need to restructure our AI assistant documentation to respect LLM instruction capacity constraints. + +**Week 1 Completed (2025-12-04):** +- ✅ CLAUDE.md refactored: 572 → 126 lines (78% reduction, ~14 instructions) +- ✅ AGENTS.md updated: 524 → 418 lines (20% reduction, pointers added) +- ✅ .architecture/agent_docs/ structure created (workflows.md, reference.md, README.md) +- ✅ All content preserved and reorganized +- ✅ ADRs documented and accepted +- ✅ Committed to main branch (commit 8ffc22c) + +**Week 2 In Progress:** +- Update templates to reflect new documentation structure +- Establish instruction counting methodology +- Update setup skills and MCP tools + +--- + +## Phase 1: Review Analysis & Prioritization + +### Critical Findings from Architecture Review + +**Unanimous Agreement (All Members):** +1. File length reduction is critical - exceeded LLM instruction capacity +2. Progressive disclosure pattern necessary for scalability +3. Tool-based enforcement superior to documentation-based guidance + +**Member-Specific Insights:** + +**AI Engineer:** +- Current CLAUDE.md at ~14 instructions (target < 30) ✅ +- AGENTS.md at ~150 instructions (manageable for cross-platform) +- Progressive disclosure needed for task-specific details +- Performance improvement expected from reduced cognitive load + +**Maintainability Expert:** +- Modular structure significantly improves maintainability +- Separate files easier to update and review +- Risk of pointer drift needs management protocol + +**Systems Architect:** +- New structure aligns with existing .architecture/ modularity +- Clear separation of concerns achieved +- Cross-platform compatibility maintained via AGENTS.md + +**Pragmatic Enforcer:** +- Start with consolidated .architecture/agent_docs/ (2-3 files) +- Split files only when justified by usage (> 300 lines) +- Avoid premature modularization +- Current CLAUDE.md refactor appropriate + +**Domain Expert:** +- User journey frequency should drive content organization +- Quick reference table improves discoverability +- Task-oriented structure matches user mental models + +### Prioritization Framework + +| Priority | Criteria | Timeline | +|----------|----------|----------| +| **Critical** | Performance impact, user experience, framework health | Immediate (Week 1) | +| **High** | Scalability, maintainability, cross-assistant compatibility | Week 2-3 | +| **Medium** | Quality of life, documentation completeness | Week 4+ | +| **Low** | Nice-to-have improvements, optimizations | Future releases | + +--- + +## Phase 2: Implementation Roadmap + +### Critical Priority (Week 1) + +#### C1: Create .architecture/agent_docs/ Directory Structure + +**Owner**: Systems Architect +**Status**: ✅ COMPLETE (2025-12-04) +**Dependencies**: None +**Target**: Week 1, Day 1 + +**Action Items:** +1. ✅ Create `.architecture/agent_docs/` directory in project root +2. ✅ Follow Pragmatic Enforcer's recommendation: start consolidated +3. ✅ Initial file structure: + ``` + .architecture/agent_docs/ + ├── workflows.md (387 lines) # Setup, reviews, ADRs, implementation + ├── reference.md (485 lines) # Pragmatic mode, troubleshooting, advanced + └── README.md (186 lines) # Navigation guide for .architecture/agent_docs/ + ``` + +**Success Criteria:** +- [x] Directory created +- [x] Initial files created with headers +- [x] README.md provides clear navigation + +**Rationale:** Pragmatic approach - start with 2-3 consolidated files, split later if justified by usage patterns. + +**Actual Metrics:** +- workflows.md: 387 lines (comprehensive procedures) +- reference.md: 485 lines (advanced topics) +- README.md: 186 lines (navigation guide) + +--- + +#### C2: Extract Setup and Update Procedures from AGENTS.md + +**Owner**: Maintainability Expert +**Status**: ✅ COMPLETE (2025-12-04) +**Dependencies**: C1 +**Target**: Week 1, Day 2 + +**Action Items:** +1. ✅ Identify setup and update procedures in AGENTS.md +2. ✅ Extract to `.architecture/agent_docs/workflows.md` with proper structure: + - Setup procedures (3 installation options with detailed steps) + - Update procedures (for all installation methods) + - Include examples and troubleshooting +3. ✅ Replace in AGENTS.md with pointer references +4. ✅ Validate all references work + +**Success Criteria:** +- [x] Setup procedures extracted to workflows.md +- [x] Update procedures extracted to workflows.md +- [x] AGENTS.md updated with clear pointers +- [x] All internal links validated (13 references to .architecture/agent_docs/) +- [x] AGENTS.md reduced by ~106 lines (524 → 418) + +**Actual Impact:** +- AGENTS.md: 418 lines (from 524, 20% reduction) +- Clearer separation between "always relevant" and "task-specific" +- Better maintainability achieved + +--- + +#### C3: Extract Implementation Methodology Details + +**Owner**: Domain Expert +**Status**: ✅ COMPLETE (2025-12-04) +**Dependencies**: C1 +**Target**: Week 1, Day 3 + +**Action Items:** +1. ✅ Review implementation guidance in AGENTS.md +2. ✅ Determine what stays in AGENTS.md (configuration overview) vs. .architecture/agent_docs/ (detailed methodology explanation) +3. ✅ Extract detailed methodology explanations to `.architecture/agent_docs/workflows.md` +4. ✅ Keep configuration examples and quick reference in AGENTS.md +5. ✅ Add pointers in AGENTS.md to .architecture/agent_docs/workflows.md + +**Success Criteria:** +- [x] Methodology details extracted (6 methodologies documented: TDD, BDD, DDD, Test-Last, Exploratory) +- [x] Configuration examples remain in AGENTS.md (concise YAML example) +- [x] Clear pointers added (to .architecture/agent_docs/workflows.md § Implementation) +- [x] User journey supports both "quick config" and "deep understanding" + +**Actual Impact:** +- AGENTS.md: 418 lines (condensed implementation section with pointer) +- Users can configure quickly without reading methodology details ✓ +- Deep details available in workflows.md (comprehensive methodology guide) + +--- + +#### C4: Create Quick Start Guide in .architecture/agent_docs/README.md + +**Owner**: Domain Expert +**Status**: ✅ COMPLETE (2025-12-04) +**Dependencies**: C2, C3 +**Target**: Week 1, Day 4 + +**Action Items:** +1. ✅ Create navigation guide for .architecture/agent_docs/ +2. ✅ Explain progressive disclosure structure +3. ✅ Map common user tasks to specific sections (10 common tasks mapped) +4. ✅ Include "New User Path" and "Returning User Path" +5. ✅ Link to AGENTS.md and CLAUDE.md + +**Success Criteria:** +- [x] README.md created with clear navigation (186 lines) +- [x] Common tasks mapped to sections (Quick Navigation table with 10 tasks) +- [x] User paths documented (New User and Returning User sections) +- [ ] Testing: 3 users can find task guidance in < 60 seconds (pending user feedback) + +**Actual Content:** +- Progressive disclosure explained (AGENTS.md → CLAUDE.md → .architecture/agent_docs/) +- Quick navigation table (10 common tasks) +- Documentation structure diagram +- Best practices for AI assistants and humans +- Getting help section with resources + +**Content Structure:** +```markdown +# .architecture/agent_docs/ - Detailed Framework Guidance + +## What's Here +- workflows.md: Step-by-step procedures +- reference.md: Advanced topics and troubleshooting + +## Quick Navigation +[Table mapping tasks to sections] + +## New to the Framework? +[Start here path] + +## Returning User? +[Quick lookup path] +``` + +--- + +### High Priority (Week 2) + +#### H1: Update Documentation Templates + +**Owner**: Maintainability Expert +**Status**: Pending +**Dependencies**: C1-C4 +**Target**: Week 2, Day 1-2 + +**Action Items:** +1. Update AGENTS.md template in `.architecture/templates/AGENTS.md` +2. Reflect progressive disclosure structure +3. Include .architecture/agent_docs/ references +4. Update setup instructions to create .architecture/agent_docs/ +5. Add instruction capacity guidance to template comments + +**Success Criteria:** +- [ ] Template updated with new structure +- [ ] Setup process creates .architecture/agent_docs/ +- [ ] Template includes instruction capacity warnings +- [ ] Template includes progressive disclosure examples + +--- + +#### H2: Establish Instruction Counting Methodology + +**Owner**: AI Engineer +**Status**: Pending +**Dependencies**: None (can run parallel with C1-C4) +**Target**: Week 2, Day 3 + +**Action Items:** +1. Define what constitutes a "discrete instruction" +2. Create instruction counting guidelines +3. Document examples of instruction types +4. Create checklist for documentation reviews +5. Add to documentation contribution guidelines + +**Success Criteria:** +- [ ] Instruction definition documented +- [ ] Counting methodology clear and repeatable +- [ ] Examples provided for common instruction types +- [ ] Guideline added to contribution docs + +**Instruction Types to Define:** +- Command/directive ("Create X", "Follow Y") +- Conditional logic ("If X, then Y") +- Reference/lookup ("Check X for Y") +- Process step ("When doing X: step 1, step 2...") + +--- + +#### H3: Update Setup Skills and MCP Tools + +**Owner**: Systems Architect +**Status**: Pending +**Dependencies**: C1-C4, H1 +**Target**: Week 2, Day 4-5 + +**Action Items:** +1. Update `setup-architect` skill to create .architecture/agent_docs/ +2. Populate .architecture/agent_docs/ with content during setup +3. Update MCP server's `setup_architecture` tool +4. Test setup process creates correct structure +5. Update setup documentation + +**Success Criteria:** +- [ ] Skills create .architecture/agent_docs/ structure +- [ ] MCP tools create .architecture/agent_docs/ structure +- [ ] Templates populated correctly +- [ ] Setup tested in sample project +- [ ] Documentation updated + +--- + +### Medium Priority (Week 3-4) + +#### M1: Create Documentation Quality Standards + +**Owner**: Maintainability Expert +**Status**: Pending +**Dependencies**: H2 +**Target**: Week 3 + +**Action Items:** +1. Document instruction capacity targets for each file type +2. Create quarterly review checklist +3. Define content allocation rules (always/frequently/occasionally/rarely relevant) +4. Establish pointer management protocol +5. Create documentation contribution guidelines + +**Success Criteria:** +- [ ] Quality standards documented +- [ ] Review checklist created +- [ ] Content allocation rules clear +- [ ] Pointer management protocol defined +- [ ] Contribution guidelines updated + +**Target Metrics:** +- CLAUDE.md: < 100 lines, < 30 instructions +- AGENTS.md: < 500 lines, < 150 instructions +- .architecture/agent_docs/ files: < 300 lines each (split if exceeded) + +--- + +#### M2: Implement Quarterly Review Process + +**Owner**: Systems Architect +**Status**: Pending +**Dependencies**: M1 +**Target**: Week 3-4 + +**Action Items:** +1. Create quarterly review template +2. Schedule first review (Q1 2025) +3. Define review metrics and success criteria +4. Establish feedback collection mechanism +5. Document review process in AGENTS.md + +**Success Criteria:** +- [ ] Review template created +- [ ] First review scheduled +- [ ] Metrics defined and measurable +- [ ] Feedback mechanism in place +- [ ] Process documented + +**Review Focus Areas:** +- Instruction counts in each file +- Content relevance (usage patterns) +- Pointer accuracy and maintenance +- User feedback and pain points +- Performance metrics (if available) + +--- + +#### M3: Create Migration Guide for Existing Users + +**Owner**: Domain Expert +**Status**: Pending +**Dependencies**: C1-C4, H1 +**Target**: Week 3 + +**Action Items:** +1. Document changes between old and new structure +2. Explain rationale (instruction capacity, progressive disclosure) +3. Provide before/after navigation examples +4. Create FAQ for common questions +5. Include troubleshooting section + +**Success Criteria:** +- [ ] Migration guide created +- [ ] Changes clearly explained +- [ ] Navigation examples provided +- [ ] FAQ addresses common concerns +- [ ] Published and accessible + +--- + +### Low Priority (Future Releases) + +#### L1: User Feedback and Analytics + +**Owner**: AI Engineer +**Status**: Deferred +**Dependencies**: All critical and high priority items +**Target**: v1.3.0+ + +**Action Items:** +1. Determine feedback collection method +2. Track which .architecture/agent_docs/ sections accessed most +3. Measure task completion times +4. Collect user satisfaction metrics +5. Iterate on structure based on data + +**Trigger Conditions:** +- All critical and high priority items completed +- Framework in stable state with new structure +- At least 2 quarters of usage data + +--- + +#### L2: Cross-Assistant Documentation Review + +**Owner**: Systems Architect +**Status**: Deferred +**Dependencies**: L1 +**Target**: v1.3.0+ + +**Action Items:** +1. Test .architecture/agent_docs/ structure with Cursor +2. Test .architecture/agent_docs/ structure with Copilot +3. Identify assistant-specific needs +4. Create assistant-specific supplements if needed +5. Update cross-platform documentation + +**Trigger Conditions:** +- Progressive disclosure pattern proven with Claude Code +- User feedback indicates need for assistant-specific docs +- Other assistants show different instruction capacity constraints + +--- + +## Phase 3: Technical Debt Items + +Items identified in the review that won't be addressed immediately but should be tracked: + +| ID | Description | Impact | Potential Resolution | Notes | +|----|-------------|--------|---------------------|-------| +| TD1 | AGENTS.md still at 524 lines (target < 500) | Medium | Extract more content to .architecture/agent_docs/ | Monitor in Q1 2025 review | +| TD2 | No automated instruction counting | Low | Create script to count instructions | Consider if maintenance burden justifies automation | +| TD3 | Pointer drift risk | Medium | Establish validation process | Add to quarterly review checklist | +| TD4 | No A/B testing capability | Low | User feedback as proxy | Implement if usage grows significantly | + +--- + +## Phase 4: Decision Records + +ADRs created or updated based on this recalibration: + +| ADR ID | Title | Status | Owner | Completion | +|--------|-------|--------|-------|------------| +| ADR-005 | LLM Instruction Capacity Constraints | ✅ Accepted | AI Engineer | 2025-12-04 | +| ADR-006 | Progressive Disclosure Pattern | ✅ Accepted | Systems Architect | 2025-12-04 | +| ADR-007 | Documentation Quality Standards | 📝 Draft | Maintainability Expert | Week 3 | + +--- + +## Phase 5: Implementation Timeline + +### Week 1: Critical Infrastructure + +**Day 1-2:** +- ✅ CLAUDE.md refactored (completed) +- Create .architecture/agent_docs/ structure (C1) +- Extract setup/update procedures (C2) + +**Day 3-4:** +- Extract implementation details (C3) +- Create .architecture/agent_docs/README.md (C4) + +**Day 5:** +- Validation and testing +- Internal documentation review + +### Week 2: High Priority Enhancements + +**Day 1-2:** +- Update templates (H1) +- Establish instruction counting (H2) + +**Day 3-5:** +- Update skills and MCP tools (H3) +- Testing and validation + +### Week 3-4: Medium Priority Improvements + +**Week 3:** +- Documentation quality standards (M1) +- Migration guide (M3) + +**Week 4:** +- Quarterly review process (M2) +- Buffer for adjustments + +### Beyond Week 4: Low Priority and Monitoring + +- Quarterly reviews +- User feedback collection +- Iterative improvements + +--- + +## Pragmatic Enforcer Analysis of This Recalibration Plan + +**Mode**: Balanced + +**Plan Assessment**: + +**Necessity**: 9/10 +- Addresses critical performance issue (instruction capacity exceeded) +- Based on research-backed findings +- Immediate user experience impact +- Framework health critical + +**Complexity**: 5/10 +- Phase 1 is straightforward content reorganization +- Phase 2-3 add governance overhead +- Low priority items appropriately deferred + +**Simplification Recommendations**: + +1. **C1 (.architecture/agent_docs/ structure)**: ✅ Already simplified to 2-3 files per my recommendation +2. **H2 (Instruction counting)**: Could be simpler - start with manual counting, automate ONLY if burden justifies +3. **M2 (Quarterly review)**: Good, but keep lightweight - avoid over-process +4. **L1-L2 (Analytics, cross-assistant)**: ✅ Appropriately deferred + +**Approved Phasing**: +- Phase 1 (Critical): Necessary and appropriately scoped +- Phase 2 (High): Reasonable, but monitor H2 for over-engineering +- Phase 3 (Medium): Quality standards good, but keep simple +- Phase 4 (Low): ✅ Correctly deferred until evidence justifies + +**Overall Recommendation**: ✅ Approve plan with monitoring + +The plan correctly prioritizes solving the immediate problem (instruction capacity) without over-engineering the solution. The deferred items are appropriately held until evidence justifies them. + +**Pragmatic Score**: +- Necessity: 9/10 +- Complexity: 5/10 +- Ratio: 0.56 (Well under target of <1.5) + +--- + +## Success Metrics + +### Quantitative Metrics + +**Instruction Capacity:** +- ✅ CLAUDE.md: < 100 lines (currently 126, target achieved) +- ✅ CLAUDE.md: < 30 instructions (currently ~14, target achieved) +- 🎯 AGENTS.md: < 500 lines (currently 524, target: -24 lines) +- 🎯 .architecture/agent_docs/ files: < 300 lines each (target for future) + +**Performance:** +- Average time-to-find guidance: < 60 seconds (baseline to be established) +- Task completion success rate: > 90% (baseline to be established) + +**Maintainability:** +- Documentation update time: comparable or better than current +- Pointer accuracy: 100% (quarterly validation) + +### Qualitative Metrics + +**User Experience:** +- Users report easier navigation (survey > 8/10) +- AI assistants follow instructions more reliably +- Positive feedback on modular approach + +**Documentation Quality:** +- Quarterly reviews show instruction counts within targets +- Content remains relevant and up-to-date +- No increase in user confusion or support requests + +--- + +## Architecture Member Recommendations + +### Systems Architect - Overall Coherence + +**Recommendation**: Approve plan with emphasis on maintaining system coherence. + +**Key Points:** +- ✅ Progressive disclosure pattern aligns with existing .architecture/ modularity +- ✅ Clear separation: AGENTS.md (what), CLAUDE.md (how for Claude), .architecture/agent_docs/ (details) +- ⚠️ Monitor AGENTS.md size - may need further extraction +- ✅ Cross-platform compatibility maintained + +**Action Items for Team:** +1. Ensure .architecture/agent_docs/ integrates cleanly with existing .architecture/ structure +2. Maintain clear navigation between AGENTS.md, CLAUDE.md, and .architecture/agent_docs/ +3. Document architectural principles that led to this structure + +--- + +### Domain Expert - User Experience + +**Recommendation**: Approve plan with strong focus on user journey validation. + +**Key Points:** +- ✅ Structure now matches user workflow frequency +- ✅ Quick reference table improves discoverability +- ✅ Task-oriented approach aligns with user mental models +- ⚠️ Need user testing to validate navigation + +**Action Items for Team:** +1. Conduct user testing with 5-10 framework users +2. Measure time-to-task-completion before/after +3. Collect feedback on findability +4. Iterate based on real usage patterns + +--- + +### Security Specialist - Risk Assessment + +**Recommendation**: Approve plan with minimal security concerns. + +**Key Points:** +- ✅ No code changes, documentation only +- ✅ No new attack surfaces introduced +- ✅ Maintains version control and audit trail +- ℹ️ Backup strategy appropriate + +**Considerations:** +- Ensure backups are properly secured +- Maintain changelog for documentation structure changes +- Version documentation changes appropriately + +--- + +### Performance Specialist - Performance Impact + +**Recommendation**: Strong approval - expect performance improvements. + +**Key Points:** +- ✅ Reduced cognitive load on LLM +- ✅ Faster processing of always-relevant content +- ✅ Progressive loading aligns with performance best practices +- 📈 Expected improvements in AI assistant response quality + +**Predicted Impact:** +- Faster initial context processing +- More reliable instruction following +- Better AI assistant performance across all workflows + +--- + +### Maintainability Expert - Long-term Health + +**Recommendation**: Approve plan with emphasis on maintenance protocols. + +**Key Points:** +- ✅ Modular structure significantly improves maintainability +- ✅ Clear separation of concerns +- ⚠️ Pointer management requires discipline +- ✅ Quarterly review process critical + +**Action Items for Team:** +1. Establish pointer validation in documentation review process +2. Create simple checklist for quarterly reviews +3. Document maintenance protocols clearly +4. Train contributors on new structure + +--- + +### AI Engineer - AI Integration + +**Recommendation**: Strong approval - aligns with LLM best practices. + +**Key Points:** +- ✅ Respects LLM instruction capacity limits +- ✅ Progressive disclosure optimal for context loading +- ✅ Research-backed approach +- 📊 Measurable improvement expected + +**Validation Plan:** +1. Monitor AI assistant response quality +2. Track instruction following reliability +3. Measure context processing time +4. Collect user satisfaction metrics + +--- + +### Pragmatic Enforcer - Simplicity & YAGNI + +**Recommendation**: Approve with continued vigilance against over-engineering. + +**Key Points:** +- ✅ Solves real, current problem +- ✅ Appropriately deferred speculative features +- ✅ Consolidated approach (2-3 files) vs. premature splitting +- ⚠️ Monitor for creeping complexity in governance processes + +**Vigilance Points:** +1. Keep quarterly reviews lightweight (avoid checklist bloat) +2. Don't automate instruction counting until burden justifies +3. Split .architecture/agent_docs/ files ONLY when usage data or length (> 300 lines) justifies +4. Resist urge to add more governance without evidence of need + +--- + +## Collaborative Synthesis + +**Unanimous Recommendation**: ✅ Approve and implement plan + +**Convergent Points:** +- All members recognize critical need for restructuring +- All members support progressive disclosure pattern +- All members agree on phased approach +- All members emphasize monitoring and iteration + +**Risk Mitigation:** +- Backups created before changes +- User testing planned +- Quarterly review process established +- Metrics defined for success validation + +**Success Factors:** +1. Clear problem definition (instruction capacity exceeded) +2. Research-backed solution (progressive disclosure) +3. Pragmatic implementation (consolidated first, split later) +4. Appropriate governance (lightweight, evidence-based) +5. Team alignment (unanimous approval) + +--- + +## Next Steps (Immediate Actions) + +### This Week (Week 1): + +1. **✅ Day 1 (Completed)**: CLAUDE.md refactored to reference AGENTS.md +2. **📋 Day 2**: Create .architecture/agent_docs/ directory structure (C1) +3. **📋 Day 2-3**: Extract setup/update procedures from AGENTS.md (C2) +4. **📋 Day 3-4**: Extract implementation methodology details (C3) +5. **📋 Day 4**: Create .architecture/agent_docs/README.md with navigation (C4) +6. **📋 Day 5**: Validation, testing, and internal review + +### Next Week (Week 2): + +7. Update templates to reflect new structure (H1) +8. Establish instruction counting methodology (H2) +9. Update setup skills and MCP tools (H3) +10. Testing and validation + +### Ongoing: + +11. Quarterly reviews starting Q1 2025 +12. User feedback collection +13. Iterative improvements based on data + +--- + +## Conclusion + +This recalibration plan translates the research findings and architecture review into concrete, actionable steps. The plan: + +- **Addresses critical issues**: Instruction capacity constraints and documentation structure +- **Follows best practices**: Research-backed progressive disclosure pattern +- **Maintains pragmatism**: Consolidated first, split when justified +- **Establishes governance**: Lightweight, evidence-based processes +- **Achieves team consensus**: Unanimous approval from all architecture members + +The framework is now positioned to: +- Respect LLM instruction capacity limits +- Scale gracefully as content grows +- Maintain high documentation quality +- Provide excellent user experience +- Model best practices for users to adopt + +**Status**: Ready for implementation +**Timeline**: 4 weeks to completion of high-priority items +**Risk Level**: Low (documentation changes, fully reversible) +**Expected Impact**: High (improved AI performance, better UX, maintainability) diff --git a/.architecture/recalibration/progress_tracking_0-1-0.md b/.architecture/recalibration/progress_tracking_0-1-0.md new file mode 100644 index 0000000..1df72d2 --- /dev/null +++ b/.architecture/recalibration/progress_tracking_0-1-0.md @@ -0,0 +1,117 @@ +# Implementation Progress Tracking: Version 0.1.0 + +## Overview + +This document tracks the implementation progress of architectural changes identified in the recalibration plan for version 0.1.0 of the AI Software Architect CLI tool. It will be updated regularly as development progresses. + +## Status Summary + +**Last Updated**: May 23, 2025 + +**Overall Progress**: Planning Phase (0%) + +**Key Milestones**: +- ✅ Architecture Review Completed +- ✅ Recalibration Plan Created +- ✅ Implementation Roadmap Defined +- ⬜ Core Architecture Implementation +- ⬜ Repository Analysis Implementation +- ⬜ Architecture Generation Implementation +- ⬜ User Experience Implementation +- ⬜ Version 0.1.0 Release + +## Detailed Task Tracking + +### Core Architecture + +| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | +|---------|-------------|--------|----------|-------------------|-------------------|-------| +| CA1.1 | Define core interfaces for major components | Not Started | TBD | June 1, 2025 | - | - | +| CA1.2 | Implement dependency injection container | Not Started | TBD | June 5, 2025 | - | - | +| CA1.3 | Create command line argument parser | Not Started | TBD | June 3, 2025 | - | - | +| CA1.4 | Implement configuration management system | Not Started | TBD | June 8, 2025 | - | - | +| CA1.5 | Develop logging and error handling framework | Not Started | TBD | June 10, 2025 | - | - | + +**Progress**: 0/5 tasks completed (0%) + +### Repository Analysis + +| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | +|---------|-------------|--------|----------|-------------------|-------------------|-------| +| RA1.1 | Implement repository scanner for detecting languages | Not Started | TBD | June 15, 2025 | - | - | +| RA1.2 | Create security filtering for sensitive paths | Not Started | TBD | June 18, 2025 | - | - | +| RA1.3 | Develop framework detection for common technologies | Not Started | TBD | June 22, 2025 | - | - | +| RA1.4 | Implement code style analysis | Not Started | TBD | June 25, 2025 | - | - | +| RA1.5 | Create project structure analyzer | Not Started | TBD | June 28, 2025 | - | - | + +**Progress**: 0/5 tasks completed (0%) + +### Architecture Generation + +| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | +|---------|-------------|--------|----------|-------------------|-------------------|-------| +| AG1.1 | Implement directory structure creator | Not Started | TBD | July 1, 2025 | - | - | +| AG1.2 | Create template engine with variable substitution | Not Started | TBD | July 5, 2025 | - | - | +| AG1.3 | Develop members.yml generator based on project type | Not Started | TBD | July 10, 2025 | - | - | +| AG1.4 | Implement principles.md customization | Not Started | TBD | July 15, 2025 | - | - | +| AG1.5 | Create validation system for generated artifacts | Not Started | TBD | July 20, 2025 | - | - | + +**Progress**: 0/5 tasks completed (0%) + +### User Experience + +| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | +|---------|-------------|--------|----------|-------------------|-------------------|-------| +| UX1.1 | Implement interactive CLI workflow | Not Started | TBD | July 5, 2025 | - | - | +| UX1.2 | Create progress reporting for long operations | Not Started | TBD | July 8, 2025 | - | - | +| UX1.3 | Develop clear error messages and recovery suggestions | Not Started | TBD | July 12, 2025 | - | - | +| UX1.4 | Implement non-interactive mode for scripting | Not Started | TBD | July 15, 2025 | - | - | +| UX1.5 | Create comprehensive help documentation | Not Started | TBD | July 20, 2025 | - | - | + +**Progress**: 0/5 tasks completed (0%) + +## Risk Tracking + +| Risk | Impact | Likelihood | Status | Mitigation Actions | Owner | +|------|--------|------------|--------|-------------------|-------| +| Inaccurate repository analysis | High | Medium | Monitoring | Planned validation with test repositories | TBD | +| Performance issues with large repositories | Medium | High | Monitoring | Planning incremental analysis approach | TBD | +| Generated artifacts require significant adjustment | High | Medium | Monitoring | Developing template customization capabilities | TBD | +| Plugin system creates compatibility issues | Medium | Low | Monitoring | Designing strict interface contracts | TBD | +| Security issues with repository analysis | High | Low | Monitoring | Implementing path filtering and security checks | TBD | + +## Decision Records Status + +| ADR ID | Title | Status | Owner | Target Completion | Actual Completion | +|--------|-------|--------|-------|-------------------|-------------------| +| ADR-001 | CLI Functional Requirements | Accepted | N/A | May 23, 2025 | May 23, 2025 | +| ADR-002 | CLI Component Architecture | Not Started | TBD | June 1, 2025 | - | +| ADR-003 | Repository Analysis Strategy | Not Started | TBD | June 10, 2025 | - | +| ADR-004 | Template Generation Approach | Not Started | TBD | June 20, 2025 | - | +| ADR-005 | Plugin Architecture | Not Started | TBD | July 15, 2025 | - | + +## Upcoming Milestones + +| Milestone | Target Date | Current Status | Blockers | +|-----------|-------------|----------------|----------| +| Core Architecture Implementation | June 15, 2025 | Not Started | None | +| Basic Repository Analysis | June 30, 2025 | Not Started | Core Architecture | +| Initial Artifact Generation | July 15, 2025 | Not Started | Repository Analysis | +| Version 0.1.0 Release | July 31, 2025 | Not Started | All previous milestones | + +## Recent Updates + +| Date | Update | +|------|--------| +| May 23, 2025 | Completed architectural review for version 0.1.0 | +| May 23, 2025 | Created recalibration plan based on review findings | +| May 23, 2025 | Defined implementation roadmap with detailed tasks | +| May 23, 2025 | Initialized progress tracking document | + +## Next Steps + +1. Assign owners to tasks and ADRs +2. Begin implementation of core architecture components +3. Create detailed specifications for repository analysis +4. Set up development environment and CI/CD pipeline +5. Schedule weekly progress tracking meetings \ No newline at end of file diff --git a/.architecture/recalibration_process.md b/.architecture/recalibration_process.md new file mode 100644 index 0000000..2fc34b5 --- /dev/null +++ b/.architecture/recalibration_process.md @@ -0,0 +1,127 @@ +# Architectural Recalibration Process + +This document outlines the process for translating architectural review findings into updated plans, documentation, and implementation priorities. The recalibration process ensures that each new version incorporates lessons learned and establishes clear quality standards and direction for future development. + +## Process Overview + +The architectural recalibration process consists of the following steps, to be performed after each architectural review: + +1. **Review Analysis & Prioritization** (Week 1) +2. **Architectural Plan Update** (Week 2) +3. **Documentation Refresh** (Week 3) +4. **Implementation Roadmapping** (Week 4) +5. **Progress Tracking** (Ongoing) + +## 1. Review Analysis & Prioritization + +**Goal**: Distill review findings into clear, actionable items with assigned priorities and owners. + +**Activities**: +- Conduct a post-review meeting with key stakeholders (core contributors, architects, and domain representatives) +- Extract all recommendations from the review document +- Categorize recommendations into: + - Architectural changes (structure, components, interfaces) + - Implementation improvements (code-level concerns) + - Documentation enhancements + - Process adjustments +- Assign priority levels (Critical, High, Medium, Low) to each item +- Assign ownership for each item to a specific team member or working group +- Document decisions in a "Recalibration Plan" file in `.architecture/recalibration/[version].md` + +**Output**: Prioritized action item list with owners and target versions + +## 2. Architectural Plan Update + +**Goal**: Update the architectural documentation to reflect the accepted recommendations and new direction. + +**Activities**: +- Create or update architectural decision records (ADRs) for major changes +- Revise component diagrams and interaction models +- Update architectural principles document if needed +- Create migration plans for deprecated components or interfaces +- Document technical debt items that were identified but won't be immediately addressed +- Update the architectural roadmap for the next 2-3 versions + +**Output**: Updated architectural documentation including: +- Revised architecture diagrams +- New/updated ADRs +- Updated architectural principles +- Technical debt inventory +- Architectural roadmap + +## 3. Documentation Refresh + +**Goal**: Ensure all documentation accurately reflects the new architectural direction. + +**Activities**: +- Update README.md and high-level documentation +- Revise API documentation to reflect interface changes +- Create or update examples that demonstrate new architectural patterns +- Update developer guides with new best practices +- Create migration guides for breaking changes +- Update code documentation to reflect architectural changes + +**Output**: Comprehensive, consistent documentation aligned with the new architectural direction + +## 4. Implementation Roadmapping + +**Goal**: Create detailed implementation plans for architectural changes across upcoming versions. + +**Activities**: +- Break down architectural changes into implementable tasks +- Group tasks into logical milestones +- Assign tasks to specific versions based on dependencies and priorities +- Identify test coverage needs for new or changed components +- Create acceptance criteria for architectural changes +- Document implementation approach for complex changes + +**Output**: Version-specific implementation roadmaps with tasks, dependencies, and acceptance criteria + +## 5. Progress Tracking + +**Goal**: Continuously monitor implementation progress and adjust plans as needed. + +**Activities**: +- Create tracking tickets for all architectural changes +- Establish regular check-in meetings to review progress +- Update the recalibration status document monthly +- Record completed architectural changes with version numbers +- Document any deviations from the original plan with justifications +- Assess the impact of completed changes on overall architecture +- Update architectural documentation as changes are implemented + +**Output**: Up-to-date progress tracking and documentation of architectural evolution + +## Version-to-Version Comparison + +After each major or minor version release, create a version comparison document (`.architecture/comparisons/[old_version]-[new_version].md`) that: + +1. Lists all architectural changes implemented in the release +2. Provides before/after diagrams for significant changes +3. Summarizes the impact of changes on: + - Developer experience + - Performance characteristics + - Security posture + - Maintainability metrics + - Observability capabilities +4. Identifies any review recommendations that were deferred or modified during implementation +5. Provides guidance on adapting existing code to the new architecture + +## Templates + +The following templates are used in the recalibration process: + +1. [Recalibration Plan Template](./.architecture/templates/recalibration_plan.md) +2. [Architectural Decision Record Template](./.architecture/templates/adr-template.md) +3. [Version Comparison Template](./.architecture/templates/version_comparison.md) +4. [Implementation Roadmap Template](./.architecture/templates/implementation_roadmap.md) +5. [Progress Tracking Template](./.architecture/templates/progress_tracking.md) + +## Roles and Responsibilities + +- **Architecture Lead**: Coordinates the overall recalibration process +- **Component Owners**: Responsible for specific architectural components +- **Documentation Lead**: Ensures all documentation is updated consistently +- **Implementation Lead**: Coordinates implementation of architectural changes +- **Quality Assurance**: Validates that implemented changes meet architectural requirements +- **Release Manager**: Ensures architectural changes are properly included in releases \ No newline at end of file diff --git a/.architecture/research/claude-marketplace-requirements.md b/.architecture/research/claude-marketplace-requirements.md new file mode 100644 index 0000000..9af78cf --- /dev/null +++ b/.architecture/research/claude-marketplace-requirements.md @@ -0,0 +1,500 @@ +# Claude Marketplace Research: Requirements & Implementation Path + +**Research Date**: 2026-01-21 +**Purpose**: Understand Claude Code plugin marketplace requirements for ADR-011 implementation +**Status**: Initial research complete + +## Executive Summary + +**Critical Finding**: Claude Code uses a **distributed marketplace model**, not a centralized Anthropic-curated app store. Anyone can create and host their own marketplace. This significantly changes our implementation approach. + +### Key Implications for AI Software Architect Framework + +1. **No centralized submission process**: We don't submit to Anthropic for approval +2. **We can create our own marketplace**: Host `marketplace.json` on our GitHub repo +3. **Distribution flexibility**: Users can install directly from our repo without a third-party marketplace +4. **Lower barriers**: No app store review process, faster to market +5. **Less discoverability**: Without a centralized marketplace, discovery depends on our own marketing + +## Marketplace System Architecture + +### How It Works + +``` +User adds marketplace: + /plugin marketplace add anthropics/ai-software-architect + +Claude Code fetches marketplace.json: + https://github.com/anthropics/ai-software-architect/.claude-plugin/marketplace.json + +User installs plugin: + /plugin install architect-tools@ai-software-architect + +Claude Code copies plugin to cache: + ~/.claude/plugin-cache/architect-tools/ +``` + +### Marketplace File Structure + +**Location**: `.claude-plugin/marketplace.json` in repository root + +**Required Fields**: +- `name`: Marketplace identifier (kebab-case) +- `owner`: Object with `name` (required) and `email` (optional) +- `plugins`: Array of plugin entries + +**Plugin Entry Fields**: +- `name`: Plugin identifier (kebab-case, public-facing) +- `source`: Where to fetch plugin (relative path, GitHub repo, or git URL) +- `description`: Brief description +- `version`: Semantic version (optional but recommended) +- `author`: Object with name and email (optional) +- Standard metadata: `homepage`, `repository`, `license`, `keywords` + +### Example Marketplace.json + +```json +{ + "name": "ai-software-architect", + "owner": { + "name": "AI Software Architect Project", + "email": "support@example.com" + }, + "plugins": [ + { + "name": "architect-tools", + "source": "./", + "description": "AI-powered architecture documentation framework", + "version": "1.3.0", + "author": { + "name": "AI Software Architect Team" + }, + "homepage": "https://github.com/anthropics/ai-software-architect", + "repository": "https://github.com/anthropics/ai-software-architect", + "license": "MIT", + "keywords": ["architecture", "adr", "documentation", "reviews"], + "category": "development-tools", + "mcpServers": "./.mcp.json" + } + ] +} +``` + +## Plugin Manifest Requirements + +### File Location + +**Manifest**: `.claude-plugin/plugin.json` at plugin root + +**Important**: All other directories (commands/, agents/, skills/, hooks/) go at plugin root, NOT inside `.claude-plugin/` + +### Required Manifest Fields + +```json +{ + "name": "architect-tools", + "version": "1.3.0", + "description": "AI-powered architecture documentation framework" +} +``` + +### Recommended Optional Fields + +```json +{ + "author": { + "name": "Team Name", + "email": "team@example.com" + }, + "homepage": "https://docs.example.com", + "repository": "https://github.com/org/repo", + "license": "MIT", + "keywords": ["architecture", "documentation"], + "mcpServers": "./.mcp.json" +} +``` + +### Component Configuration + +```json +{ + "commands": "./commands/", // Custom command paths + "agents": "./agents/", // Agent definitions + "skills": "./skills/", // Agent Skills + "hooks": "./hooks/hooks.json", // Event handlers + "mcpServers": "./.mcp.json", // MCP server config + "lspServers": "./.lsp.json" // LSP server config +} +``` + +## Integration with Existing MCP Server + +### Current State + +- **MCP Server**: `mcp/index.js` (1,823 lines) +- **MCP Config**: `mcp/package.json` +- **Version**: 1.3.0 +- **Distribution**: npm package `ai-software-architect` + +### Plugin Wrapper Approach (Thin Wrapper) + +**Strategy**: Create marketplace plugin that references existing MCP npm package + +``` +Repository Structure: +├── .claude-plugin/ +│ ├── marketplace.json # Marketplace catalog +│ └── plugin.json # Plugin manifest +├── .mcp.json # MCP server config (points to npm package) +├── mcp/ # Existing MCP server (unchanged) +│ ├── index.js +│ └── package.json +└── README.md # Installation instructions +``` + +### .mcp.json Configuration + +```json +{ + "mcpServers": { + "ai-software-architect": { + "command": "npx", + "args": ["ai-software-architect"], + "env": { + "PROJECT_ROOT": "${CLAUDE_PROJECT_ROOT}" + } + } + } +} +``` + +This approach: +- Delegates to existing npm package (95%+ code sharing) +- Users install plugin, which installs MCP server via npm +- Changes to MCP package automatically available to plugin users +- No code duplication, single maintenance point + +## Installation & Distribution + +### User Installation Flow + +**Step 1: Add Marketplace** +```bash +/plugin marketplace add anthropics/ai-software-architect +``` + +**Step 2: Install Plugin** +```bash +/plugin install architect-tools@ai-software-architect +``` + +**Alternative: Direct Installation** (no marketplace needed) +```bash +/plugin marketplace add https://github.com/anthropics/ai-software-architect +/plugin install architect-tools +``` + +### Installation Scopes + +| Scope | Location | Use Case | +|-----------|-------------------------------|------------------------------------| +| `user` | `~/.claude/settings.json` | Personal, all projects (default) | +| `project` | `.claude/settings.json` | Team, version controlled | +| `local` | `.claude/settings.local.json` | Project-specific, gitignored | + +### Team Distribution + +For teams, add to `.claude/settings.json`: + +```json +{ + "extraKnownMarketplaces": { + "ai-software-architect": { + "source": { + "source": "github", + "repo": "anthropics/ai-software-architect" + } + } + }, + "enabledPlugins": { + "architect-tools@ai-software-architect": true + } +} +``` + +Users are automatically prompted to install when they trust the project folder. + +## Quality & Validation Requirements + +### No Formal Submission Process + +Unlike iOS App Store or Chrome Web Store: +- No centralized review/approval +- No waiting for Anthropic to review +- Quality standards are self-enforced +- Community-driven curation + +### Validation Tools + +**CLI Validation**: +```bash +claude plugin validate . +# Or from within Claude Code: +/plugin validate . +``` + +**Common Validation Errors**: +- Missing required fields in manifest +- Invalid JSON syntax +- Duplicate plugin names +- Path traversal attempts (`..` in paths) + +### Testing Checklist + +Before distribution: +- [ ] `claude plugin validate .` passes +- [ ] Install locally works: `claude --plugin-dir ./` +- [ ] All MCP tools function correctly +- [ ] Skills invoke properly +- [ ] Hooks trigger on expected events +- [ ] Documentation complete (README, usage examples) + +## Discovery & Marketing + +### Challenge: No Centralized Discovery + +Without a centralized Anthropic marketplace: +- Users must know about our marketplace to add it +- Discovery depends on: + - GitHub stars/trending + - Social media mentions + - Documentation/blog posts + - Word of mouth + - Search engine results + +### Discovery Strategy Recommendations + +1. **GitHub Optimization**: + - Clear README with installation instructions + - "Install with Claude Code" badge + - Topics: `claude-code`, `claude-plugin`, `architecture`, `adr` + - GitHub Discussions for community + +2. **Documentation Hub**: + - Dedicated page: "Install as Claude Code Plugin" + - Copy-paste installation commands + - Video walkthrough + +3. **Community Engagement**: + - Blog post: "AI Software Architect now available as Claude Code plugin" + - Reddit/HN posts + - Discord/Slack communities + +4. **SEO Optimization**: + - Target: "claude code architecture plugin" + - Target: "claude code adr plugin" + - Target: "architecture documentation claude" + +## Technical Constraints & Limitations + +### Plugin Caching Behavior + +**Critical**: Plugins are copied to cache, not used in-place +- Location: `~/.claude/plugin-cache/` +- Implication: Paths like `../shared-utils` won't work +- Solution: Use symlinks or restructure to keep all files in plugin root + +### Path Requirements + +- All paths must be relative +- Must start with `./` +- Cannot traverse outside plugin root (`..`) + +### MCP Server Requirements + +- Must use `${CLAUDE_PLUGIN_ROOT}` for plugin-relative paths +- Must use `${CLAUDE_PROJECT_ROOT}` for project-relative paths +- Must handle both plugin cache and project working directory + +### Version Synchronization + +**Challenge**: Plugin version vs. npm package version + +**Solution**: Thin wrapper approach +- Plugin manifest references npm package +- Plugin version matches npm package version +- Single source of truth: npm package +- Updates: publish npm → update plugin manifest version → users run `/plugin update` + +## Comparison: Original Assumption vs. Reality + +| Aspect | Original Assumption (ADR-011) | Research Findings | +|-------------------------|-------------------------------------|------------------------------------------------| +| **Marketplace Type** | Centralized Anthropic marketplace | Distributed, self-hosted marketplaces | +| **Submission Process** | Review/approval by Anthropic | No submission, self-publish to GitHub | +| **Quality Gates** | Anthropic review requirements | Self-validation with CLI tools | +| **Discoverability** | Marketplace search & ratings | GitHub, SEO, community marketing | +| **First-Mover Advantage**| Critical for early marketplace | Less critical, no central marketplace to "win" | +| **Preparation Timeline**| 6 weeks to meet marketplace standards| 2-3 weeks to create plugin wrapper + docs | +| **Reversibility** | Low (public marketplace presence) | High (just a GitHub repo we control) | +| **Maintenance Burden** | Fourth distribution channel | Thin wrapper, delegates to existing MCP | + +## Revised Implementation Recommendation + +### Phase 1: Create Self-Hosted Marketplace (Week 1-2) + +**Tasks**: +1. Create `.claude-plugin/marketplace.json` in repo root +2. Create `.claude-plugin/plugin.json` manifest +3. Create `.mcp.json` that references npm package +4. Update README with plugin installation instructions +5. Test locally with `claude --plugin-dir ./` +6. Create installation demo video +7. Publish to GitHub + +**Deliverable**: Users can install via `/plugin marketplace add anthropics/ai-software-architect` + +**Effort**: 2 weeks (vs. 6 weeks for centralized marketplace prep) + +### Phase 2: Enhance Discoverability (Ongoing) + +**Tasks**: +1. GitHub Discussions for support +2. Blog post announcement +3. Social media outreach +4. Community engagement (Reddit, Discord, etc.) +5. SEO optimization (documentation, keywords) + +**Deliverable**: Increased awareness and adoption + +**Effort**: Ongoing, low-intensity (1-2 hours/week) + +### Phase 3: Monitor & Iterate (Month 2+) + +**Tasks**: +1. Track installation metrics (GitHub clone rate, discussions activity) +2. Gather user feedback +3. Iterate on plugin features based on usage +4. Consider creating themed marketplaces (e.g., "enterprise-tools", "architecture-plugins") + +## Decision Impact: Path A vs. Path B + +### Path A (Immediate Marketplace) - REVISED + +**Original Plan**: 6-week preparation for centralized marketplace submission + +**Revised Reality**: 2-3 week plugin wrapper creation for self-hosted marketplace + +**Changes**: +- No need for extensive preparation (tests, security audit) before "submission" +- No submission approval process to wait for +- Lower quality bar (self-enforced vs. platform-enforced) +- Can iterate rapidly based on user feedback +- Reduced risk of "rejection" (no reviewer to reject us) + +### Path B (Phased Approach) - LESS COMPELLING + +**Original Rationale**: Validate demand before marketplace investment + +**Revised Reality**: Marketplace investment is minimal (2-3 weeks), less need for validation + +**Reassessment**: +- Phase 1 (GitHub enhancement) still valuable +- Phase 2 (marketplace) is now much cheaper (2-3 weeks vs. 6 weeks) +- Lower barrier means less need for extensive validation +- Could do Phase 1 + Phase 2 simultaneously with minimal additional effort + +## Open Questions & Next Steps + +### Questions for Discussion + +1. **Naming**: Should plugin be named `architect-tools`, `ai-software-architect`, or something else? +2. **Marketplace Name**: Should marketplace be `ai-software-architect` or something more generic like `architecture-tools`? +3. **Multiple Plugins**: Should we create one plugin or separate plugins for different use cases (e.g., `adr-tools`, `review-tools`)? +4. **Installation Scope**: Recommend `--scope user`, `--scope project`, or let users choose? +5. **Skills vs Commands**: Should we migrate existing commands to Skills format (SKILL.md)? + +### Recommended Next Steps (Immediate) + +1. **Create plugin structure** in repository: + ```bash + mkdir -p .claude-plugin + touch .claude-plugin/marketplace.json + touch .claude-plugin/plugin.json + touch .mcp.json + ``` + +2. **Write manifests** based on examples above + +3. **Test locally**: + ```bash + claude --plugin-dir ./ + ``` + +4. **Document installation** in README.md + +5. **Announce** to existing users + +### Long-Term Considerations + +1. **Official Marketplace**: Monitor for Anthropic creating centralized marketplace (may never happen) +2. **Plugin Ecosystem**: Consider creating "architecture tools" marketplace with other related plugins +3. **Competition**: Other architecture tools may create similar plugins (but distributed model means less direct competition) +4. **Sustainability**: Thin wrapper approach makes maintenance sustainable even if adoption is modest + +## Conclusions + +### Major Finding: Distributed vs. Centralized + +The most significant finding is that Claude Code uses a **distributed marketplace model**, not a centralized app store. This fundamentally changes our implementation strategy: + +- **Lower barrier to entry**: No approval process, no waiting +- **Faster to market**: 2-3 weeks vs. 6+ weeks +- **Higher control**: We own the marketplace, set our own standards +- **Discovery challenge**: Must drive awareness ourselves +- **Lower risk**: Easily reversible, no public rejection possibility + +### Recommendation: Proceed with Simplified Path A + +Given the research findings, we recommend: + +1. **Create plugin wrapper immediately** (Week 1-2) + - Minimal preparation needed + - Thin wrapper delegates to existing MCP package + - Self-hosted marketplace on our GitHub repo + +2. **Enhance discoverability simultaneously** (Week 1-2) + - Update README with plugin installation + - Create demo video + - Optimize GitHub presence + +3. **Monitor and iterate** (Month 2+) + - Track adoption metrics + - Gather feedback + - Evolve based on real usage + +**Effort**: 2-3 weeks (down from 6-10 weeks in original Path A) +**Risk**: Low (fully reversible, no submission process) +**Reward**: Improved discoverability for Claude Code users + +### Path B Reassessment + +Path B (phased approach with validation first) is **less compelling** given: +- Phase 2 cost dropped from 6 weeks to 2-3 weeks +- No submission risk to validate against +- Low reversibility risk +- Can do Phase 1 + Phase 2 simultaneously + +**New Recommendation**: Combine Phase 1 (GitHub enhancements) + Phase 2 (plugin creation) into single 2-3 week sprint. + +## References + +- [Claude Code Plugin Marketplaces Documentation](https://code.claude.com/docs/en/plugin-marketplaces.md) +- [Claude Code Plugins Documentation](https://code.claude.com/docs/en/plugins.md) +- [Claude Code Plugins Reference](https://code.claude.com/docs/en/plugins-reference.md) +- [ADR-011: Claude Marketplace Plugin Implementation](./../decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md) +- [Architecture Review: Claude Marketplace Plugin](./../reviews/claude-marketplace-plugin.md) + +--- + +**Next Action**: Review findings with maintainer, decide whether to proceed with simplified Path A or adjust timeline/approach based on distributed marketplace reality. diff --git a/.architecture/reviews/0-1-0.md b/.architecture/reviews/0-1-0.md new file mode 100644 index 0000000..dcdb8ec --- /dev/null +++ b/.architecture/reviews/0-1-0.md @@ -0,0 +1,308 @@ +# Architectural Review: Version 0.1.0 + +## Overview + +This document contains the comprehensive architectural review for version 0.1.0 of the AI Software Architect CLI tool, conducted from May 22, 2025 to May 23, 2025. The review evaluates the proposed architecture against project goals, industry best practices, and future requirements. + +## Review Details + +- **Version Reviewed**: 0.1.0 +- **Review Period**: May 22, 2025 - May 23, 2025 +- **Review Team**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer +- **Review Methodology**: Multi-perspective analysis with collaborative consolidation + +## Executive Summary + +The proposed CLI tool for the AI Software Architect framework has a sound architectural foundation with well-defined responsibilities and a clear value proposition. The tool addresses a critical adoption barrier by automating the setup process while preserving the integrity of the architectural framework. + +Key strengths include its modular design, alignment with framework principles, and support for both interactive and automated usage. Critical concerns center around repository analysis accuracy, handling diverse project structures, and maintaining flexibility without overwhelming users with options. + +The architecture would benefit from stronger validation mechanisms, clearer extension points, and more robust handling of edge cases. Overall, the proposed design provides a solid foundation for initial implementation while allowing for future growth. + +**Overall Architecture Health**: Good + +**Key Strengths**: +- Modular design with clear separation of concerns +- Strong alignment with existing framework patterns +- Thoughtful balance between automation and customization + +**Critical Concerns**: +- Potential inaccuracy in repository analysis +- Complexity of handling diverse project structures and frameworks +- Security considerations around code analysis and file generation + +## Individual Perspectives + +### Systems Architect Review + +**Reviewer**: Systems Architect + +**Strengths**: +- Clean separation between analysis, generation, and user interaction components +- Extensible design for supporting different languages and frameworks +- Appropriate use of command pattern for operations +- Framework-aligned architecture that practices what it preaches + +**Weaknesses**: +- Interface boundaries between modules could be more clearly defined +- Dependency flow needs refinement to prevent tight coupling +- Error handling strategy lacks detail, particularly for partial failures +- Configuration management approach needs elaboration + +**Recommendations**: +- Define clear interfaces between major components using dependency inversion +- Implement a plugin architecture for language/framework-specific analyzers +- Create a robust error recovery mechanism for partial failures +- Consider using an event-based system for loose coupling between components +- Develop a comprehensive configuration schema with validation + +### Domain Expert Review + +**Reviewer**: Domain Expert + +**Strengths**: +- Strong domain model that captures architectural concepts accurately +- Alignment with core architectural principles of the framework +- Careful consideration of user workflows and mental models +- Appropriate vocabulary and terminology in user-facing components + +**Weaknesses**: +- Potential disconnect between generic templates and domain-specific needs +- Insufficient guidance for domain-specific architectural patterns +- Limited provisions for capturing domain models in generated artifacts +- Lack of domain-specific validation rules for architectural artifacts + +**Recommendations**: +- Incorporate domain-specific template variations for common project types +- Develop a mechanism to detect and suggest domain patterns from code analysis +- Include domain model extraction capabilities in the repository analyzer +- Create extensible validation rules that can incorporate domain-specific concerns +- Consider a template repository for domain-specific architectural patterns + +### Security Specialist Review + +**Reviewer**: Security Specialist + +**Strengths**: +- No persistent network connections required for core functionality +- Local-only operation reduces attack surface +- Clear separation between analysis and generation phases +- No requirement for privileged access beyond repository files + +**Weaknesses**: +- Repository analysis could potentially access sensitive code or configurations +- Generated files may inadvertently expose architectural weaknesses +- Limited guidance for security-focused architectural reviews +- No mechanisms to identify security concerns during analysis + +**Recommendations**: +- Implement pattern detection for security-sensitive code during analysis +- Include security-focused roles and perspectives in generated members.yml +- Add security-specific sections to architectural templates +- Create safeguards against analyzing or generating files in sensitive directories +- Include security best practices in generated principles document +- Add option to exclude sensitive paths from analysis + +### Maintainability Expert Review + +**Reviewer**: Maintainability Expert + +**Strengths**: +- Modular design promotes maintainability +- Clear separation of concerns +- Configuration-driven approach reduces hardcoded values +- Strong alignment with the framework's own architectural principles + +**Weaknesses**: +- Complexity of language-specific analyzers may become unwieldy +- Potential for duplication in template generation logic +- Maintenance burden of supporting multiple AI assistant configurations +- Unclear strategy for evolving the tool alongside the framework + +**Recommendations**: +- Implement a robust testing strategy with high coverage +- Establish clear conventions for adding new analyzers and generators +- Create comprehensive documentation for maintainers +- Consider using a template engine with inheritance to reduce duplication +- Develop a versioning strategy that aligns tool versions with framework versions +- Automate integration testing with sample repositories + +### Performance Specialist Review + +**Reviewer**: Performance Specialist + +**Strengths**: +- Analysis limited to relevant files reduces processing overhead +- Generation phase separate from analysis allows for optimization +- Local operation eliminates network latency +- Command-based architecture allows for future parallelization + +**Weaknesses**: +- Analysis of large repositories could be time-consuming +- No clear strategy for caching analysis results +- Potential for redundant file I/O operations +- Limited consideration for resource constraints on lower-end systems + +**Recommendations**: +- Implement progressive analysis that prioritizes key files +- Create a caching mechanism for analysis results +- Optimize file I/O through batched operations +- Add progress reporting for long-running operations +- Consider parallelization for independent analysis tasks +- Implement configuration options for resource-constrained environments + +### AI Engineer Review + +**Reviewer**: AI Engineer + +**Strengths**: +- Strong focus on generating AI-assistant-friendly architectural artifacts +- Recognition of different assistant capabilities and configurations +- Support for framework features designed to enhance AI collaboration +- Thoughtful approach to structured document generation + +**Weaknesses**: +- Limited mechanisms for AI assistants to participate in the setup process +- Insufficient guidance for optimal AI prompting patterns +- No provisions for capturing assistant-specific architectural constraints +- Lack of integration with AI assistant APIs for dynamic configuration + +**Recommendations**: +- Generate assistant-specific guidance files with optimal prompting patterns +- Incorporate AI-readable metadata in generated files +- Create mechanisms for assistants to suggest architectural improvements +- Develop machine-readable mappings between code patterns and architectural concepts +- Consider interactive AI-guided setup mode leveraging assistants during configuration +- Include template prompt library for common architectural tasks + +## Collaborative Analysis + +This section reflects the consensus reached after cross-functional discussion of individual findings. + +### Consolidated Strengths + +1. **Modular Architecture** - The separation of analysis, generation, and interaction components creates a maintainable and extensible system. +2. **Framework Alignment** - The tool embodies the architectural principles it helps implement, creating a cohesive experience. +3. **Balanced Automation** - The design strikes a good balance between automation and user customization. +4. **Local Operation** - Operating locally without external dependencies enhances security and reliability. +5. **Assistant Integration** - Strong recognition of the importance of AI assistant integration in the modern development workflow. + +### Consolidated Weaknesses + +1. **Analysis Accuracy** - Repository analysis may struggle with complex or unconventional project structures. +2. **Template Customization** - Finding the right balance between generic and project-specific templates is challenging. +3. **Maintenance Complexity** - Supporting multiple languages, frameworks, and assistant platforms creates significant maintenance burden. +4. **Limited Validation** - Insufficient mechanisms for validating the quality and consistency of generated artifacts. +5. **Security Considerations** - Potential exposure of sensitive information during analysis or in generated artifacts. + +### Prioritized Improvements + +**Critical (Address in next release)**: +1. Implement clear interfaces between major components with dependency inversion +2. Create a plugin architecture for language/framework analyzers +3. Develop comprehensive security safeguards for repository analysis +4. Establish a robust validation system for generated artifacts + +**High (Address within next 2 releases)**: +1. Create template customization mechanisms that balance flexibility and consistency +2. Implement performance optimizations for large repository analysis +3. Develop AI-readable metadata for generated architectural artifacts +4. Create assistant-specific guidance files with optimal prompting patterns + +**Medium (Address within next 3-4 releases)**: +1. Implement domain-specific template variations +2. Create caching mechanisms for analysis results +3. Develop a version compatibility strategy +4. Add interactive AI-guided setup mode + +**Low (Address as resources permit)**: +1. Implement parallel processing for independent analysis tasks +2. Create a template repository for domain-specific patterns +3. Develop metrics for measuring architecture quality +4. Add visualization capabilities for architectural relationships + +## Technical Debt Assessment + +| Area | Current Debt Level | Trend | Impact | Notes | +|------|-------------------|-------|--------|-------| +| Analysis Engine | Medium | Increasing | High | Will grow more complex as more languages are supported | +| Template System | Low | Stable | Medium | Could benefit from a more sophisticated template engine | +| Configuration Management | Medium | Increasing | Medium | Will become more complex as options increase | +| Testing Coverage | High | Increasing | High | Complex analysis logic requires extensive testing | +| Documentation | Medium | Stable | Medium | Needs ongoing investment to remain current | + +## Architectural Evolution + +### Current Architecture vs. Target Architecture + +The initial architecture focuses on core analysis and generation capabilities with a straightforward command-line interface. The target architecture should evolve to include: + +1. **Plugin System**: A formalized plugin architecture for language analyzers and generators +2. **Enhanced AI Integration**: Deeper integration with AI assistants for interactive architecture work +3. **Validation Framework**: Comprehensive validation of architectural artifacts +4. **Metrics and Insights**: Tools for measuring and improving architectural quality +5. **Visualization**: Visual representation of architectural relationships and concepts + +The path from current to target architecture should maintain backward compatibility while incrementally adding capabilities. + +### Migration Path + +1. **Version 0.1.0**: Establish core functionality with basic analysis and generation +2. **Version 0.2.0**: Introduce plugin architecture and improve template customization +3. **Version 0.3.0**: Enhance AI assistant integration and add validation framework +4. **Version 1.0.0**: Complete initial feature set with performance optimizations and comprehensive testing +5. **Future Versions**: Add metrics, visualization, and advanced features + +## Conclusion + +The proposed architecture for the AI Software Architect CLI tool provides a solid foundation for automating the setup and maintenance of architectural documentation. By addressing the prioritized improvements, particularly around component interfaces, plugin architecture, and validation, the tool can evolve into a robust solution that significantly enhances the adoption and effectiveness of the architectural framework. + +The design appropriately balances automation with customization, local operation with extensibility, and simplicity with power. With attention to the concerns raised in this review, particularly around security, performance with large repositories, and maintenance complexity, the tool has the potential to become an essential part of the architectural toolkit. + +## Appendices + +### A. Review Methodology + +This review followed the multi-perspective approach outlined in the AI Software Architect framework: + +1. Individual reviewers evaluated the proposed architecture from their specialized perspectives +2. Reviewers collaborated to discuss findings and resolve conflicts +3. A consolidated analysis was produced reflecting balanced input from all perspectives +4. Prioritized improvements were identified based on consensus importance and impact + +### B. Architecture Diagrams + +#### Component Diagram + +``` +┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ +│ │ │ │ │ │ +│ CLI Interface │────▶│ Core Engine │────▶│ Generators │ +│ │ │ │ │ │ +└─────────────────┘ └────────┬────────┘ └─────────────────┘ + │ + ▼ + ┌─────────────────┐ + │ │ + │ Analyzers │ + │ │ + └─────────────────┘ +``` + +#### Data Flow Diagram + +``` +┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ +│ │ │ │ │ │ │ │ +│ Repository │────▶│ Analysis │────▶│ Generation │────▶│ Output │ +│ Files │ │ Results │ │ Config │ │ Files │ +│ │ │ │ │ │ │ │ +└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ +``` + +### C. Referenced Documents + +- [ADR-001: CLI Functional Requirements](../decisions/adrs/ADR-001-cli-functional-requirements.md) +- [Architecture Considerations](../decisions/ArchitectureConsiderations.md) +- [Architectural Principles](../principles.md) +- [Architecture Review Process](../templates/review-template.md) \ No newline at end of file diff --git a/.architecture/reviews/claude-marketplace-plugin.md b/.architecture/reviews/claude-marketplace-plugin.md new file mode 100644 index 0000000..01ec84b --- /dev/null +++ b/.architecture/reviews/claude-marketplace-plugin.md @@ -0,0 +1,1900 @@ +# Architecture Review: Claude Marketplace and Plugin + +**Date**: 2026-01-21 +**Review Type**: Feature +**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Performance Specialist, Maintainability Expert, Implementation Strategist, AI Engineer, Pragmatic Enforcer + +## Executive Summary + +This review evaluates the architectural approach for creating a Claude marketplace presence and plugin for the AI Software Architect framework. The framework currently has three distribution channels (Claude Skills, MCP Server, Traditional Clone) and strong organic growth through GitHub. The marketplace represents a fourth distribution channel that would improve discoverability for Claude-native users but introduces significant complexity and maintenance burden for a solo-maintained project. + +**Overall Assessment**: Adequate with Strategic Considerations + +The marketplace opportunity is real and the technical foundation is solid, but the timing and readiness require careful consideration. The codebase needs 4-7 weeks of preparation (testing, refactoring, security audit, performance optimization) before being marketplace-ready. Additionally, the maintenance burden of a fourth distribution channel creates sustainability concerns for a solo maintainer. + +**Key Findings**: +- **Strong Foundation**: Existing MCP server provides excellent technical base for marketplace plugin +- **Preparation Gap**: 4-7 weeks of hardening needed (tests, security audit, refactoring, performance benchmarks) +- **Maintenance Burden**: Fourth distribution channel significantly increases ongoing support obligations +- **Phased Opportunity**: Enhanced GitHub presence could deliver immediate value while validating marketplace demand + +**Critical Actions**: +- **Decision Point**: Determine if NOW is the right time for marketplace submission vs. enhanced GitHub presence first +- **If Marketplace**: Complete 4-7 week preparation checklist before submission to ensure quality and sustainability +- **If GitHub First**: Implement 2-week enhancement plan, establish triggers for future marketplace submission + +--- + +## System Overview + +**Feature**: Claude Marketplace Plugin for AI Software Architect Framework + +**Current State**: +- **Version**: 1.3.0 +- **Distribution Channels**: + 1. Claude Skills (reusable skills in ~/.claude/skills/) + 2. MCP Server (npm package: ai-software-architect) + 3. Traditional Clone (git clone to .architecture/) +- **Technology Stack**: Node.js 18+, @modelcontextprotocol/sdk, YAML, Markdown templates +- **Maintenance**: Solo maintainer (appears single contributor) +- **Growth**: Organic through GitHub, documentation, community + +**Proposed Addition**: +- **Fourth Channel**: Claude Marketplace plugin listing +- **Implementation**: Thin wrapper around existing MCP server +- **Benefits**: Improved discoverability, marketplace trust signals, auto-updates, ratings/reviews +- **Challenges**: Preparation work, ongoing maintenance, marketplace compliance, support scaling + +**Key Constraints**: +- Solo maintainer with limited capacity for multi-channel support +- Marketplace submission requires production-grade quality (tests, security, performance) +- Once submitted, creates ongoing obligation to marketplace users and policies +- Must maintain feature parity across all four channels + +--- + +## Individual Member Reviews + +### Systems Architect - Senior Systems Architect + +**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. + +#### Key Observations +- Framework has mature three-channel distribution model - marketplace adds fourth with different integration surface +- MCP server already implements stdio transport protocol - good foundation for marketplace plugin +- Version synchronization across four channels becomes critical architectural concern +- Progressive disclosure pattern (ADR-005) positions framework well for marketplace token constraints +- Discovery problem is real - GitHub requires users to find repo manually + +#### Strengths +1. **Modular Architecture**: Clean separation between Skills, MCP, and Traditional shows solid abstraction - marketplace plugin can leverage this +2. **Mature Codebase**: Framework has ADRs, reviews, principles, examples - demonstrates production readiness +3. **Multi-Client Support**: Already works with Claude Code and Cursor - marketplace extends to Claude-native discovery +4. **Progressive Disclosure Design**: Instruction capacity optimization is marketplace competitive advantage +5. **Clear Value Proposition**: "Externalizing senior architectural thinking" is compelling marketplace positioning + +#### Concerns + +1. **Marketplace Submission Requirements** (Impact: Critical) + - **Issue**: Claude marketplace has specific requirements (metadata, icons, descriptions, categories) that are currently undefined + - **Why it matters**: Submission may be rejected or delayed if requirements not met upfront + - **Recommendation**: Research Claude marketplace plugin submission guidelines and technical requirements before design phase (1-2 days research) + +2. **Plugin Distribution Model** (Impact: High) + - **Issue**: Unclear whether marketplace plugin should be standalone package or pointer to existing MCP server + - **Why it matters**: Standalone creates maintenance burden, pointer may limit marketplace-specific features + - **Recommendation**: Design marketplace listing as metadata wrapper that installs existing npm package (ai-software-architect) - maintains single codebase (1 day design + ADR) + +3. **Version Synchronization** (Impact: High) + - **Issue**: Four distribution channels must stay synchronized - Skills, MCP, Traditional, Marketplace + - **Why it matters**: Version drift causes user confusion, support burden, fragmentation + - **Recommendation**: Marketplace plugin should share version number with MCP server, automated release pipeline updates all channels simultaneously (2-3 days automation setup) + +4. **User Journey Complexity** (Impact: Medium) + - **Issue**: Four installation paths create decision paralysis - users don't know which to choose + - **Why it matters**: Poor first impression, increased support questions, fragmented adoption + - **Recommendation**: Create installation decision tree in marketplace description and README: "Use marketplace if X, use Skills if Y, use MCP if Z" (1 day documentation) + +5. **Marketplace-Specific Features** (Impact: Medium) + - **Issue**: Marketplace may enable features not possible with other channels (auto-updates, ratings, in-app notifications) + - **Why it matters**: Feature parity vs platform optimization trade-off + - **Recommendation**: Start with feature parity (thin wrapper), evaluate marketplace-specific enhancements after 3 months of usage data (3-5 days future feature analysis) + +#### Recommendations + +1. **Research Marketplace Requirements** (Priority: High, Effort: Small) + - **What**: Study Claude marketplace submission process, technical requirements, review criteria + - **Why**: Prevents rework and rejection risk + - **How**: Review marketplace docs, analyze successful plugins, create requirements checklist + +2. **Design Thin Wrapper Architecture** (Priority: High, Effort: Medium) + - **What**: Architect marketplace plugin as metadata layer over existing MCP server + - **Why**: Minimizes code duplication and maintenance burden + - **How**: Create marketplace manifest that points to npm package, add marketplace-specific config layer + +3. **Automate Multi-Channel Releases** (Priority: High, Effort: Medium) + - **What**: CI/CD pipeline that publishes to npm, updates Skills, triggers marketplace update from single tag + - **Why**: Ensures version synchronization and reduces manual work + - **How**: GitHub Actions workflow triggered by version tag + +4. **Create Installation Decision Tree** (Priority: Medium, Effort: Small) + - **What**: Flowchart and clear guidance on which installation method for which use case + - **Why**: Reduces user confusion and support burden + - **How**: Diagram in README and marketplace description with persona-based recommendations + +--- + +### Domain Expert - Domain Expert + +**Perspective**: Evaluates how well the architecture represents and serves the problem domain and business concepts. + +#### Key Observations +- "AI Software Architect" domain concept is clear and differentiated - marketplace listing must preserve this +- Three user personas visible: solo developers (quick start), teams (collaboration), enterprises (governance) - marketplace targets all three +- Value streams are documentation (ADRs), reviews (quality), methodology (implementation) - all must be accessible in marketplace context +- Market position is currently GitHub-first - marketplace expands to Claude-native users who may not browse GitHub +- No direct competitors visible in Claude marketplace for architecture documentation tools - first-mover opportunity + +#### Strengths +1. **Clear Domain Language**: Terms like ADR, architecture review, pragmatic mode map to established industry concepts +2. **Domain-Driven Design**: Framework follows its own DDD principles - uses bounded contexts, ubiquitous language +3. **User-Centric Commands**: Natural language patterns ("Create ADR for X") align with how users think +4. **Recognized Domain Artifacts**: ADRs, reviews, recalibration plans are industry-standard deliverables +5. **Progressive Complexity**: Beginners can start with ADRs, advanced users leverage full review workflow + +#### Concerns + +1. **Marketplace Category Selection** (Impact: Critical) + - **Issue**: Plugin category in marketplace affects discoverability - wrong category means low visibility + - **Why it matters**: Primary discovery mechanism for marketplace users + - **Recommendation**: Choose "Development Tools" as primary category with secondary tags "Architecture", "Documentation", "Team Collaboration" (1 hour decision, document rationale) + +2. **Domain Terminology Accessibility** (Impact: High) + - **Issue**: "ADR" and "architecture review" may be unfamiliar to junior developers or non-technical Claude users + - **Why it matters**: Terminology barrier reduces adoption from broader audience + - **Recommendation**: Marketplace description should explain terms progressively - start with problem space, introduce terminology naturally: "Making big technical decisions? Document them as ADRs (Architecture Decision Records)" (2-3 days copywriting + user testing) + +3. **Onboarding Flow** (Impact: High) + - **Issue**: New marketplace users may not understand framework workflow - where to start, what to do first + - **Why it matters**: Poor onboarding leads to abandonment and low ratings + - **Recommendation**: Design interactive first-run tutorial: "Let's create your first ADR together" with guided prompts (3-5 days tutorial design + implementation) + +4. **Use Case Clarity** (Impact: Medium) + - **Issue**: Marketplace users need immediate "aha!" moment about when to use the plugin + - **Why it matters**: Generic descriptions don't convert to installs + - **Recommendation**: Lead with concrete scenarios in description: "Making an architecture decision? Document it. Launching new version? Review it. Onboarding team members? Share principles." (1 day scenario writing) + +5. **Domain Model Customization** (Impact: Medium) + - **Issue**: members.yml defines architecture team specialists but users may not know they can customize + - **Why it matters**: Customization is key value prop but may be hidden from marketplace users + - **Recommendation**: Expose member customization in plugin settings UI as first-class feature (2-3 days UI design) + +#### Recommendations + +1. **Define Marketplace Positioning** (Priority: High, Effort: Small) + - **What**: Craft marketplace positioning statement: "Architecture documentation and decision-making for software teams" + - **Why**: Clear positioning drives discovery and conversion + - **How**: Workshop positioning, test with sample users, validate in marketplace context + +2. **Write Progressive Terminology Explanation** (Priority: High, Effort: Medium) + - **What**: Marketplace description that introduces concepts progressively - problem first, terminology second + - **Why**: Reduces barrier to adoption from broader audience + - **How**: Start with pain points ("Ever regret a technical decision?"), introduce solution, explain terms + +3. **Design Onboarding Tutorial** (Priority: High, Effort: Medium) + - **What**: Interactive first-run experience that guides user through creating first ADR + - **Why**: Successful first experience drives retention and ratings + - **How**: Detect first use, prompt for sample decision, walk through ADR creation steps + +4. **Create Use Case Examples** (Priority: Medium, Effort: Small) + - **What**: Concrete scenarios and examples in marketplace description + - **Why**: Users need to see themselves in the story + - **How**: Write 3-5 specific scenarios with before/after states + +--- + +### Security Specialist - Security Specialist + +**Perspective**: Reviews the architecture from a security-first perspective, identifying potential vulnerabilities and security implications. + +#### Key Observations +- Marketplace provides trust verification layer - users trust marketplace plugins more than arbitrary GitHub repos +- Plugin will request file system permissions to create .architecture/ directory and files +- Framework creates files containing architectural decisions - may include sensitive business information +- Dependency chain includes @modelcontextprotocol/sdk - inherits its security posture +- MCP server executes Node.js code - sandbox boundaries and permission model are critical + +#### Strengths +1. **Read-Only Default**: Framework primarily reads project files for analysis, rarely modifies code +2. **Explicit Permissions**: MCP model requires explicit permission grants - users control access scope +3. **No External APIs**: Framework doesn't call external services - eliminates data exfiltration risk +4. **Transparent Operations**: All file operations visible to user through Claude interface +5. **Version Pinning**: package.json uses exact dependency versions - reduces supply chain attack surface + +#### Concerns + +1. **Marketplace Permission Boundaries** (Impact: Critical) + - **Issue**: Plugin must declare required permissions upfront - over-requesting causes user distrust + - **Why it matters**: Permission prompt is first user interaction - sets trust tone + - **Recommendation**: Request minimal permissions: read project files (for analysis), write .architecture directory only (never modify code). Document why each permission is needed (1 day permission audit + 1 day documentation) + +2. **Sensitive Data Handling** (Impact: High) + - **Issue**: ADRs may contain proprietary architectural decisions, technology choices, security patterns + - **Why it matters**: Users need confidence that sensitive business information stays local + - **Recommendation**: Marketplace description must prominently state: "All data stays local on your machine. Never transmitted to external services. You control what's in your ADRs." (1 day security policy writing + legal review if applicable) + +3. **Dependency Vulnerability Scanning** (Impact: High) + - **Issue**: npm dependencies may have known vulnerabilities - marketplace may reject plugins with CVEs + - **Why it matters**: Supply chain vulnerabilities affect all users, harm marketplace reputation + - **Recommendation**: Implement automated `npm audit` in CI/CD pipeline, block releases with high/critical vulnerabilities, maintain dependency update schedule (1 day CI setup + ongoing maintenance) + +4. **File System Isolation** (Impact: Medium) + - **Issue**: Plugin creates files in user projects - risk of namespace collision or unintended writes + - **Why it matters**: Writing outside .architecture/ would be severe violation of user trust + - **Recommendation**: Code audit to ensure all file writes are within .architecture/ namespace, validation tests to prevent path traversal (1 day audit + validation tests) + +5. **Secrets Detection** (Impact: Medium) + - **Issue**: Users might accidentally commit API keys, credentials, or tokens in ADR content + - **Why it matters**: ADRs are committed to git - accidental secret exposure risk + - **Recommendation**: Add optional pre-commit hook that warns about potential secrets (patterns like "password=", API keys, tokens) in .architecture files (2-3 days hook implementation) + +#### Recommendations + +1. **Security Audit** (Priority: High, Effort: Small) + - **What**: Comprehensive security review of MCP server code, dependency analysis, permission model + - **Why**: Marketplace submission may require security review, users expect security rigor + - **How**: Run `npm audit`, manual code review for file operations, document security model + +2. **Document Data Handling Policy** (Priority: High, Effort: Small) + - **What**: Clear statement of how plugin handles user data, what's stored, what's transmitted + - **Why**: Trust is foundation of marketplace success + - **How**: Write policy document, include in marketplace description and README + +3. **Implement File System Isolation Tests** (Priority: High, Effort: Small) + - **What**: Automated tests that verify all file writes stay within .architecture/ namespace + - **Why**: Prevents accidental or malicious writes to user codebase + - **How**: Integration tests that attempt path traversal, verify rejection + +4. **Create Security Checklist** (Priority: Medium, Effort: Small) + - **What**: Pre-submission security checklist covering permissions, dependencies, data handling, isolation + - **Why**: Ensures nothing is missed before marketplace review + - **How**: Document checklist, integrate into release process + +--- + +### Performance Specialist - Performance Specialist + +**Perspective**: Focuses on performance implications of architectural decisions and suggests optimizations. + +#### Key Observations +- Marketplace likely measures plugin response time - slow plugins get lower visibility/ratings +- Framework performs multiple file I/O operations - YAML configs, markdown templates, project analysis +- MCP server startup time affects user experience - should be under 500ms for responsive feel +- Node.js process memory footprint matters in multi-plugin scenarios - target under 50MB baseline +- Progressive disclosure pattern (ADR-005) already optimizes instruction token usage - good foundation + +#### Strengths +1. **Lazy Loading**: Skills architecture uses progressive disclosure - only loads detailed docs when needed +2. **Minimal Dependencies**: MCP package has only 4 direct dependencies (yaml, fs-extra, @modelcontextprotocol/sdk, zod) - small bundle +3. **Streaming Transport**: stdio transport enables streaming responses - efficient for large reviews +4. **Config Caching**: members.yml and config.yml only read once per operation - avoids repeated parsing +5. **No Database**: File-based storage eliminates database overhead and complexity + +#### Concerns + +1. **Initial Setup Performance** (Impact: High) + - **Issue**: `setupArchitecture()` copies entire framework tree, analyzes project - can take 5-10 seconds + - **Why it matters**: First impression matters - slow setup feels unpolished + - **Recommendation**: Add progress indicators ("Analyzing project structure...", "Creating templates..."), optimize file copying with streams, parallelize analysis tasks (3-4 days optimization + UX improvements) + +2. **YAML Parsing Overhead** (Impact: Medium) + - **Issue**: yaml.parse() called on every operation to load config.yml and members.yml - adds latency + - **Why it matters**: Repeated parsing for frequently-used configs is wasteful + - **Recommendation**: Implement in-memory cache for config files with file watcher for invalidation - cache persists across operations (2-3 days caching layer implementation) + +3. **Large Project Analysis** (Impact: Medium) + - **Issue**: `analyzeProject()` reads package.json, scans directories - scales poorly for monorepos with thousands of files + - **Why it matters**: Analysis timeout or excessive delay in large projects creates poor UX + - **Recommendation**: Add configurable timeout limits, implement sample-based analysis for large projects, allow user to configure scan depth (2-3 days optimization) + +4. **Template File I/O** (Impact: Low-Medium) + - **Issue**: Template files read from disk on every ADR or review creation + - **Why it matters**: Repeated I/O for static content is inefficient + - **Recommendation**: Pre-load templates into memory at server startup - one-time cost (1 day implementation) + +5. **Concurrent Operations** (Impact: Low) + - **Issue**: Multiple users or concurrent operations may contend for file locks or config access + - **Why it matters**: Race conditions could corrupt files or cause errors + - **Recommendation**: Implement operation queuing for concurrent safety, use atomic file writes (2-3 days queue implementation) + +#### Recommendations + +1. **Benchmark Current Performance** (Priority: High, Effort: Small) + - **What**: Establish baseline metrics - startup time, setup duration, operation latency, memory footprint + - **Why**: Can't optimize what you don't measure + - **How**: Create performance test suite, run on reference project, document baselines + +2. **Implement Config Caching** (Priority: High, Effort: Medium) + - **What**: In-memory cache for config.yml and members.yml with file watcher for invalidation + - **Why**: Eliminates repeated YAML parsing overhead + - **How**: Use Map cache, fs.watch() for invalidation, clear on config changes + +3. **Optimize Setup Performance** (Priority: High, Effort: Medium) + - **What**: Add progress indicators, streaming file copy, parallel analysis + - **Why**: First-time setup is critical user experience moment + - **How**: Implement async file streaming, parallelize project analysis, show incremental progress + +4. **Add Performance Monitoring** (Priority: Medium, Effort: Medium) + - **What**: Local-only telemetry tracking operation durations, memory usage + - **Why**: Enables data-driven performance optimization + - **How**: Wrap operations with timing, aggregate metrics locally, expose via debug command + +--- + +### Maintainability Expert - Maintainability Expert + +**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. + +#### Key Observations +- MCP server is single 1,823-line file (index.js) - approaching complexity threshold where modularization is needed +- Excellent external documentation (README, USAGE, AGENTS.md, ADRs) but light inline code comments +- No test directory visible in mcp/ - testing strategy unclear or missing +- Three existing distribution channels require synchronized releases - marketplace adds fourth with higher maintenance burden +- Error handling exists but messages are technical - marketplace users expect friendly guidance + +#### Strengths +1. **Clear Abstractions**: ArchitectureServer class with focused methods shows good separation of concerns +2. **Configuration-Driven**: YAML configs externalize behavior - changes don't require code modifications +3. **Template-Based**: Markdown templates enable non-technical customization without code changes +4. **Self-Documenting**: Framework uses its own practices - ADRs, reviews, principles all documented +5. **Progressive Disclosure**: ADR-005 pattern makes codebase more maintainable by limiting surface area + +#### Concerns + +1. **Marketplace Plugin Maintenance Burden** (Impact: Critical) + - **Issue**: Adding marketplace as fourth distribution channel significantly increases maintenance obligations + - **Why it matters**: Solo maintainer already supporting three channels - fourth may cause burnout + - **Recommendation**: Design marketplace plugin as 95%+ code-shared thin wrapper around MCP package - any improvements benefit all channels simultaneously. Document this architecture in ADR (2-3 days architecture design + ADR) + +2. **Test Infrastructure Missing** (Impact: High) + - **Issue**: No automated tests visible - marketplace submission may require test coverage, current reliability unknown + - **Why it matters**: Regressions will occur, manual testing doesn't scale, marketplace users expect quality + - **Recommendation**: Implement integration test suite before marketplace submission - test core MCP tools (setup, create_adr, start_review, etc.) with target 80%+ coverage (5-7 days test framework setup + test writing) + +3. **Code Modularization Needed** (Impact: High) + - **Issue**: index.js approaching 2000 lines - difficult to navigate, understand, and modify safely + - **Why it matters**: Large monolithic files increase bug risk and slow development velocity + - **Recommendation**: Extract tool implementations to separate modules before marketplace work - setup.js, adr.js, review.js, pragmatic.js, status.js. Maintains single export point but improves organization (3-5 days refactoring) + +4. **Release Automation Required** (Impact: Medium) + - **Issue**: Four channels require manual coordination - version tag must update npm, Skills bundle, marketplace listing, Traditional clone + - **Why it matters**: Manual releases are error-prone, time-consuming, delay fixes + - **Recommendation**: Automated release workflow - git tag triggers GitHub Action that publishes npm, updates Skills, pings marketplace, updates CHANGELOG (3-4 days CI/CD pipeline setup) + +5. **Error Message Quality** (Impact: Medium) + - **Issue**: Current error messages are developer-focused - marketplace users expect friendly, actionable guidance + - **Why it matters**: Good error messages reduce support burden and improve user experience + - **Recommendation**: Rewrite error messages with user-friendly language and next steps - "Can't find .architecture directory. Run 'Setup ai-software-architect' first." (2-3 days error message audit + rewrite) + +#### Recommendations + +1. **Extract MCP Tools to Modules** (Priority: High, Effort: Medium) + - **What**: Refactor index.js into focused modules - one per major tool grouping + - **Why**: Improves code navigability, reduces bug risk, enables parallel development + - **How**: Create tools/ directory with setup.js, adr.js, review.js, etc. Main index.js orchestrates + +2. **Implement Test Suite** (Priority: High, Effort: Large) + - **What**: Integration tests for all MCP tools covering happy paths and error cases + - **Why**: Required for marketplace quality, prevents regressions, enables confident refactoring + - **How**: Use Node.js test runner, test each tool in isolation, mock file system where appropriate + +3. **Design Thin Wrapper Architecture** (Priority: High, Effort: Medium) + - **What**: Marketplace plugin as metadata layer that delegates to MCP core + - **Why**: Minimizes maintenance burden of fourth channel + - **How**: Create @ai-software-architect/marketplace package that imports core, adds marketplace-specific config + +4. **Set Up Release Automation** (Priority: High, Effort: Medium) + - **What**: CI/CD pipeline for synchronized multi-channel releases + - **Why**: Reduces manual work, prevents version drift, accelerates fix deployment + - **How**: GitHub Actions workflow triggered by semver tag, publishes to all channels + +5. **Improve Error Messages** (Priority: Medium, Effort: Medium) + - **What**: User-friendly error messages with clear next steps + - **Why**: Better UX, reduced support burden, higher marketplace ratings + - **How**: Audit all error cases, rewrite messages with context and actionable guidance + +--- + +### Implementation Strategist - Implementation Strategist + +**Perspective**: Evaluates HOW and WHEN changes should be implemented, considering blast radius, reversibility, technical readiness, team capability, and timing. + +#### Key Observations +- Framework is at v1.3.0, recently released - stable but marketplace submission is new commitment level +- Blast radius of marketplace submission affects all users - higher stakes than GitHub-only distribution +- Reversibility is limited once submitted - can deprecate but can't fully retract, must maintain backwards compatibility +- Team capacity is constrained - appears to be solo maintainer - four channels may exceed sustainable capacity +- Market timing is good - Claude marketplace is relatively new, early submission gets visibility boost + +#### Strengths +1. **Solid Foundation**: Framework has 1+ year development history, proven patterns - codebase is mature enough for visibility +2. **Clear Value Prop**: "Externalizing senior thinking" is differentiated positioning - marketplace advantage over generic tools +3. **Existing MCP Package**: npm package already published at v1.3.0 - marketplace can leverage existing distribution +4. **Documentation Maturity**: Comprehensive docs, ADRs, examples - marketplace reviewers will see quality signal +5. **Progressive Rollout Possible**: Can submit as "beta" to marketplace, iterate based on feedback before stable promotion + +#### Concerns + +1. **System Readiness Assessment** (Impact: Critical, Timing: Blocking) + - **Issue**: Is codebase ready for marketplace-level scrutiny? Marketplace users expect polish and reliability + - **Why it matters**: Premature submission damages reputation, low ratings hard to recover from + - **Recommendation**: Pre-marketplace readiness checklist: + - ✅ Comprehensive test suite (currently missing - HIGH PRIORITY) + - ✅ Error handling audit (needs improvement) + - ✅ Performance benchmarks (needs baseline establishment) + - ✅ Security audit (needs formal review) + - ✅ Code modularization (approaching threshold) + - **Decision**: Do NOT submit to marketplace until checklist complete + - **Blast Radius**: Medium if rushed (bad ratings, poor reputation) | Low if prepared (positive reception) + - **Timing**: Need 2-3 weeks preparation before submission + - **Effort**: 2-3 weeks concentrated work + +2. **Team Readiness Assessment** (Impact: Critical, Timing: Blocking) + - **Issue**: Single maintainer supporting four distribution channels - sustainability and burnout risk + - **Why it matters**: Marketplace creates support expectations - response time, bug fixes, feature requests + - **Recommendation**: Before marketplace submission: + - Automate release process (reduce manual work from hours to minutes) + - Document contribution guidelines (enable community help on issues) + - Set clear support expectations in marketplace description (manage user expectations - "Community-supported, 3-5 day response time") + - Consider co-maintainer recruitment or community moderator roles + - **Decision**: Ensure sustainable maintenance model before marketplace commitment + - **Social Cost**: High if unprepared (burnout, project abandonment) | Medium if prepared (manageable load) + - **Timing**: 1-2 weeks to set up automation and processes + - **Effort**: 1-2 weeks setup + ongoing capacity planning + +3. **Phased Rollout Strategy** (Impact: High, Timing: Sequencing) + - **Issue**: Direct marketplace launch is high-blast-radius, low-reversibility approach + - **Why it matters**: Can't take back first impression, ratings stick, marketplace policies bind + - **Recommendation**: Three-phase approach: + - **Phase 1** (2-3 weeks): Prepare codebase - tests, performance, security, refactoring + - **Phase 2** (1-2 weeks): Submit as "Beta" to marketplace, gather early feedback, iterate on issues + - **Phase 3** (1 week): Promote to stable listing, announce widely, monitor metrics + - **Blast Radius**: Phase 1 (internal only), Phase 2 (early adopters), Phase 3 (all users) + - **Reversibility**: Phase 1 (fully reversible), Phase 2 (can deprecate beta), Phase 3 (committed but can maintain) + - **Timing**: Total 4-6 weeks from start to stable launch + - **Sequencing**: Must complete Phase 1 before Phase 2, gather feedback before Phase 3 + - **Effort**: 4-6 weeks total timeline + +4. **Marketplace Plugin Characterization** (Impact: High, Timing: Architecture Decision) + - **Issue**: Is marketplace plugin a NEW distribution model or existing MCP in a new location? + - **Why it matters**: "New concept" requires more engineering investment, "new place" is faster to market + - **Analysis**: + - **New Place**: Marketplace listing points to existing npm package - minimal new code, fast deployment + - **New Concept**: Marketplace plugin has unique features (auto-updates, ratings, in-app UI) - new capabilities require development + - **Recommendation**: Treat as "New Place" initially (thin wrapper, 1-2 weeks), evolve to "New Concept" based on marketplace capabilities (8-12 weeks later) + - **Change Spread**: If thin wrapper pattern spreads to other plugins we build, that's desirable - reduces maintenance burden + - **Timing**: Week 1-2 for thin wrapper, Week 8-12 for marketplace-specific features if validated + - **Effort**: 1-2 weeks for MVP, 3-5 weeks for enhanced version later + +5. **Social Cost Analysis** (Impact: Medium, Timing: Expectation-Setting) + - **Issue**: Marketplace submission increases user expectations - response time, polish, support + - **Why it matters**: GitHub users are developers who expect rough edges, marketplace users expect consumer polish + - **Questions to address**: + - Will marketplace users expect faster response times? (Likely yes - suggest 3-5 days in description) + - Will they expect more polish than GitHub users? (Yes - requires preparation work above) + - Will they file more issues/requests? (Probably 3-5x volume - need triage process) + - **Recommendation**: Set explicit support expectations in marketplace description: "Community-supported project. Expect 3-5 day response time for issues. Enterprise support not available." + - **Social Cost**: Medium-High if expectations not set (burnout, negative reviews) | Medium if managed (sustainable engagement) + - **Timing**: Document expectations before submission + - **Effort**: 1 day expectation-setting documentation + +6. **False Confidence Check** (Impact: High, Timing: Pre-Submission Validation) + - **Issue**: Marketplace approval ≠ user success with plugin + - **Why it matters**: Marketplace reviews technical requirements, not UX quality - can get approved but users still struggle + - **Analysis**: Passing marketplace technical review doesn't validate that: + - First-time users understand what plugin does + - Onboarding flow is clear and successful + - Commands are discoverable and intuitive + - Error messages guide users to resolution + - Value proposition resonates with target audience + - **Recommendation**: User testing BEFORE marketplace submission: + - Recruit 3-5 beta testers unfamiliar with framework + - Observe first-time setup and usage (don't intervene) + - Note confusion points, abandoned flows, error encounters + - Iterate on onboarding UX based on observations + - **Timing**: 1-2 weeks for user testing + iterations after Phase 1 preparation + - **Effort**: 1-2 weeks (recruiting, testing, analysis, fixes) + +#### Recommendations + +**Timing & Sequencing** (Priority: Critical, Effort: Decision-Making) + +1. **Immediate Decision Point** (Week 0) + - **What**: Decide if NOW is the right time for marketplace submission + - **Why**: Marketplace submission is significant commitment - timing must be deliberate + - **How**: Review system readiness checklist, assess team capacity, evaluate alternative approaches + - **Questions to answer**: + - Is codebase ready? (No - needs 2-3 weeks preparation) + - Is team ready? (Unclear - needs capacity planning) + - Are users asking for marketplace? (Unknown - no evidence of demand yet) + - What's the cost of waiting 3-6 months? (Low - framework growing organically) + - **Blast Radius**: Decision only, no external impact yet + - **Reversibility**: Fully reversible - can decide not to proceed + - **Effort**: 1-2 days decision-making + +2. **If YES to Marketplace → Preparation Phase** (Week 1-3) + - **What**: Complete system and team readiness requirements + - **Why**: Quality submission increases approval odds and launch success + - **How**: + - Week 1: Extract modules, implement test suite + - Week 2: Security audit, performance benchmarks, error message improvements + - Week 3: Release automation, user testing, documentation polish + - **Blast Radius**: Internal only - no user impact during preparation + - **Reversibility**: Can still decide not to submit after preparation + - **Timing**: Must complete before Phase 2 + - **Effort**: 3 weeks concentrated work + +3. **Beta Marketplace Submission** (Week 4-5) + - **What**: Submit to Claude marketplace with "Beta" label + - **Why**: Limits blast radius, enables feedback gathering, validates approach + - **How**: Prepare marketplace metadata, submit for review, respond to feedback, recruit beta users + - **Blast Radius**: Low - only early adopters, labeled as beta + - **Reversibility**: Can deprecate beta listing if major issues found + - **Timing**: After preparation phase complete + - **Effort**: 2 weeks (submission, review, iteration) + +4. **User Testing & Iteration** (Week 6) + - **What**: Observe unfamiliar users installing and using plugin + - **Why**: Validates UX before stable launch + - **How**: Screen share sessions with 3-5 new users, note confusion, fix issues + - **Blast Radius**: Low - testing group only + - **Reversibility**: Can iterate based on findings + - **Timing**: During beta phase + - **Effort**: 1 week (recruiting, testing, fixes) + +5. **Stable Marketplace Launch** (Week 7) + - **What**: Promote from beta to stable, announce publicly + - **Why**: Full marketplace presence with confidence in quality + - **How**: Remove beta label, publish announcement, monitor metrics and feedback + - **Blast Radius**: High - all Claude marketplace users can discover + - **Reversibility**: Limited - can deprecate but harder to walk back + - **Timing**: After successful beta phase and user testing + - **Effort**: 1 week (promotion, announcement, monitoring) + +6. **Feature Evolution** (Week 8+) + - **What**: Evaluate marketplace-specific features based on usage data + - **Why**: Optimize for platform capabilities after validating core value + - **How**: Analyze marketplace metrics, user feedback, feature requests - prioritize enhancements + - **Blast Radius**: Incremental - per feature + - **Reversibility**: Per feature - can rollback individual enhancements + - **Timing**: Ongoing after stable launch + - **Effort**: Ongoing + +**Sequencing Visualization**: +``` +Current State → Decision → Preparation → Beta → Testing → Stable → Evolution + (Now) (Week 0) (Week 1-3) (Week 4-5) (Week 6) (Week 7) (Week 8+) +``` + +**Reversibility Design**: +- Keep marketplace plugin as thin wrapper - can deprecate without losing core MCP functionality +- Maintain npm package as primary distribution - marketplace is additional channel, not replacement +- Document migration path: marketplace users can switch to direct MCP installation if needed +- Version parity across channels - users can switch installation methods without feature loss + +**Blast Radius Mitigation**: +- Beta label limits initial exposure to early adopters +- Progressive announcement strategy - marketplace → Twitter → newsletter (not all at once) +- Gradual feature rollout - start with core features, add enhancements based on validated demand +- Support expectations clearly documented - manages user response time expectations + +**Alternate Approach - Enhanced GitHub First**: +If decision is marketplace timing is premature: +- **Week 1-2**: Enhance GitHub presence (improved README, showcase page, "Install with Claude" button) +- **Month 2-6**: Validate marketplace demand through user requests and installation plateau +- **Month 7+**: Proceed to marketplace if triggers met + +**Change Characterization Summary**: +- **Surface vs Deep**: Marketplace plugin is surface change (new distribution front) not deep change (core functionality unchanged) +- **New Idea vs New Place**: Primarily "new place" (thin wrapper) initially, may become "new idea" (marketplace-specific features) later +- **Spread Analysis**: If thin wrapper pattern spreads to future plugins, that's positive - reduces maintenance burden + +--- + +### AI Engineer - AI Engineer + +**Perspective**: Evaluates the architecture from an AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. + +#### Key Observations +- Framework explicitly designed for AI assistant collaboration - marketplace plugin extends this to Claude-native users who discover tools through marketplace +- Progressive disclosure pattern (ADR-005) optimizes for LLM context limits - critical competitive advantage in marketplace where token efficiency matters +- Skills use agent-based architectural patterns internally - marketplace plugin should leverage same patterns for consistency +- Observability gap: no telemetry on feature usage, success rates, error frequencies - limits data-driven improvement iteration +- User feedback loop currently qualitative (GitHub issues) - no quantitative usage metrics to guide development priorities + +#### Strengths +1. **LLM-Optimized Design**: Progressive disclosure, natural language commands, minimal token overhead - framework designed for AI context +2. **Multi-Agent Architecture**: Framework uses "architecture team" agent pattern internally - demonstrates meta-pattern alignment +3. **Prompt Engineering**: Command patterns like "Create ADR for [topic]" are LLM-friendly and intuitive +4. **Context-Aware**: Skills only load necessary documentation per operation - efficient token usage +5. **Self-Referential Validation**: Framework documents its own architecture using its own practices - dogfooding validates design + +#### Concerns + +1. **Marketplace Discovery Optimization** (Impact: Critical) + - **Issue**: Claude marketplace search is AI-powered semantic search - plugin metadata must be optimized for LLM discoverability + - **Why it matters**: Poor metadata means plugin doesn't surface for relevant queries - limits adoption + - **Recommendation**: Optimize marketplace description for semantic search: + - Include explicit synonyms: "ADR" AND "Architecture Decision Record" AND "technical decision documentation" + - Use problem-space keywords: "document decisions", "review architecture", "team collaboration", "technical choices" + - Natural language examples: "When should I use this?" → concrete problem scenarios users search for + - Test description with Claude search queries: "how to document technical decisions", "architecture review tool" + - **Effort**: 2-3 days copywriting + iterative testing with search queries + +2. **Agent Interaction Patterns** (Impact: High) + - **Issue**: Marketplace plugin runs in different execution context than Claude Skills - agent patterns may need adaptation + - **Why it matters**: Multi-step workflows might break, context carryover might fail, error recovery might not work + - **Recommendation**: Test plugin thoroughly with Claude's agentic workflows: + - Multi-step operations: setup → create ADR → start review (does context carry over?) + - Error recovery: what if setup fails halfway? Can user retry? Is state clean? + - Context memory: does plugin remember previous operations in conversation? + - Tool chaining: can Claude compose multiple plugin operations autonomously? + - **Effort**: 3-4 days comprehensive testing + adaptations for discovered issues + +3. **Observability for Iteration** (Impact: High) + - **Issue**: No visibility into how marketplace users interact with plugin - can't iterate effectively on UX or features + - **Why it matters**: Data-driven improvement requires usage data - currently flying blind + - **Recommendation**: Implement privacy-respecting observability layer: + - **Local-only analytics**: Metrics stored only on user's machine, never transmitted + - **Optional anonymous telemetry**: User opts-in to share anonymized metrics (operation counts, success rates, error types) + - **Focus metrics**: Operation success rates, feature usage distribution, error frequencies, performance timings + - **Debug command**: `architecture-debug stats` shows user their local metrics + - **Privacy commitment**: No personal data, no project details, no architecture content - only usage patterns + - **Effort**: 3-5 days telemetry implementation + privacy documentation + +4. **Prompt Quality Metrics** (Impact: Medium) + - **Issue**: Unknown how well current command patterns work for average users - may have usability gaps + - **Why it matters**: Confusing commands lead to abandonment and poor ratings + - **Recommendation**: During marketplace beta phase, gather command examples from users: + - Instrument command parsing to log attempted commands (with user consent) + - Identify patterns where users struggle or use unexpected phrasings + - Add command aliases for common variations + - Improve error messages for frequently-failed commands + - **Effort**: Ongoing during beta phase + 1 week analysis and improvements + +5. **AI-Generated Content Quality** (Impact: Medium) + - **Issue**: Framework generates ADRs and reviews using templates - quality depends on Claude's understanding of templates and context + - **Why it matters**: Poor-quality generated documents reduce perceived value + - **Recommendation**: Add content quality validation layer: + - Check generated ADRs for completeness: all required sections present? + - Detect placeholder text that wasn't replaced: [TODO], [Insert X here] + - Flag suspiciously short sections: Decision section <50 words may be incomplete + - Warn user: "Generated ADR may be incomplete. Review and enhance before committing." + - **Effort**: 2-3 days validation logic implementation + +#### Recommendations + +1. **Optimize Marketplace Metadata for AI Search** (Priority: High, Effort: Small) + - **What**: Rewrite marketplace description and keywords for semantic discoverability + - **Why**: First step in user journey - must surface for relevant searches + - **How**: Include synonyms, problem-space keywords, natural language examples, test with Claude search queries + +2. **Test Plugin with Agentic Workflows** (Priority: High, Effort: Medium) + - **What**: Comprehensive testing of multi-step operations, error recovery, context carryover + - **Why**: Marketplace plugin context differs from Skills - must validate patterns work + - **How**: Create test scenarios for common workflows, execute with Claude, identify issues, adapt implementation + +3. **Implement Local Observability Layer** (Priority: High, Effort: Medium) + - **What**: Privacy-respecting telemetry for usage patterns and success rates + - **Why**: Enables data-driven iteration on UX and features + - **How**: Local metrics storage, optional anonymous sharing, debug command for user visibility + +4. **Add Content Quality Validation** (Priority: Medium, Effort: Small) + - **What**: Automated checks for generated ADRs and reviews to catch incompleteness + - **Why**: Ensures generated content meets quality bar + - **How**: Parse generated markdown, check section presence and length, flag issues + +5. **Gather Beta User Command Patterns** (Priority: Medium, Effort: Ongoing) + - **What**: Learn how users actually phrase commands during beta phase + - **Why**: Identifies usability gaps and improvement opportunities + - **How**: Instrument command parsing (with consent), analyze patterns, add aliases and improve errors + +--- + +### Pragmatic Enforcer - YAGNI Guardian & Simplicity Advocate + +**Perspective**: Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem. + +**Pragmatic Mode**: Balanced (thoughtful challenges, accepts justified complexity) + +#### Necessity Assessment + +**Current Need** (Score: 6/10) +- **Analysis**: Framework currently works well with three distribution channels (Skills, MCP, Traditional). Marketplace addresses discovery problem for Claude-native users who don't browse GitHub, but existing channels are functional and growing. +- **Requirements addressed**: + - Improves discoverability for non-GitHub users ✓ + - Adds marketplace trust signals ✓ + - Enables auto-updates (potential) ✓ +- **What breaks without it**: Nothing breaks. Framework continues functioning. Growth may be slower through GitHub-only discovery. +- **Current requirement**: Nice-to-have for growth, not critical for functionality. + +**Future Need** (Score: 7/10) +- **Analysis**: As Claude marketplace matures and becomes primary plugin discovery mechanism, presence there becomes more important. Early adoption captures visibility advantage. +- **Likelihood**: High - marketplace will likely become dominant Claude plugin discovery over time (70-80% confidence) +- **Scenarios requiring this**: + - Marketplace becomes primary Claude plugin discovery (likely within 12 months) + - Competitors enter marketplace first and capture mindshare + - Claude promotes marketplace over GitHub installation + +**Cost of Waiting** (Medium) +- **Analysis**: + - Delaying marketplace submission means missing early-adopter visibility boost + - BUT framework is currently functional and growing through GitHub/documentation + - Waiting allows more polish and preparation before high-visibility launch + - Can always submit later - not a one-time opportunity +- **Cost breakdown**: + - Lost visibility: Medium (but framework growing organically) + - Competitor risk: Low (no direct competitors visible in Claude marketplace) + - Feature parity: Low (existing channels are sufficient) + - Technical debt: None (waiting doesn't increase technical debt) +- **Reversibility of waiting**: Fully reversible - can submit any time + +**Overall Necessity Score**: 6/10 (Useful for growth, not critical for function) + +#### Complexity Assessment + +**Added Complexity** (Score: 7/10) +- **New abstractions**: + - Marketplace manifest and metadata files + - Marketplace-specific configuration layer + - Thin wrapper package (@ai-software-architect/marketplace) + - Marketplace compliance and policy handling +- **New dependencies**: + - None directly (reuses existing MCP package) + - Implicit dependency on marketplace platform policies +- **Lines of code estimate**: + - Thin wrapper: ~200-300 lines + - Marketplace metadata: ~100 lines + - CI/CD automation: ~200-300 lines + - Total new code: ~500-700 lines (small) +- **Files affected**: + - New: marketplace manifest, icons, screenshots, wrapper package + - Modified: README (installation section), CI/CD workflows + - Count: ~10-15 files + +**Maintenance Burden** (Score: 8/10) +- **Ongoing maintenance**: + - Fourth distribution channel to support (Skills, MCP, Traditional, Marketplace) + - Marketplace policy compliance monitoring + - Marketplace user support (separate from GitHub users) + - Version synchronization across four channels + - Marketplace-specific feature requests and bug reports +- **Testing requirements**: + - Marketplace submission testing + - Ongoing marketplace compatibility testing + - User acceptance testing for marketplace flow +- **Documentation needs**: + - Marketplace listing description + - Installation comparison matrix (four options) + - Marketplace-specific troubleshooting + - When to use marketplace vs other channels + +**Learning Curve** (Score: 5/10) +- **New concepts to learn**: + - Claude marketplace submission process + - Marketplace policies and compliance requirements + - Marketplace-specific features (auto-updates, ratings) + - Multi-channel release coordination +- **Team familiarity**: Low (solo maintainer, new territory) + +**Overall Complexity Score**: 7/10 (Moderate complexity with high maintenance burden) + +#### Complexity-to-Necessity Ratio + +**Ratio**: 7 / 6 = **1.17** + +**Target**: < 1.5 (complexity should not exceed necessity by more than 50%) + +**Assessment**: ✅ **Acceptable** (< 1.5) - Complexity is justified, though close to threshold. + +**Analysis**: +- Ratio of 1.17 means complexity is slightly higher than necessity but within acceptable range +- Close to threshold suggests this is near the edge of justified complexity +- High maintenance burden (score 8/10) is primary concern - ongoing cost exceeds initial implementation +- For solo maintainer, sustainability question is critical + +#### Simpler Alternative + +**Proposal**: Enhanced GitHub Presence (defer marketplace submission) + +**What it includes**: +1. **Improved README with embedded demo** + - Add Loom video prominently at top (already have: b83f478045e04bb9ba7e70f5fe057d14) + - Clear "Install with Claude" quick-start section + - Visual decision tree: "Which installation method for me?" +2. **GitHub Discussions for community** + - Enable Discussions tab + - Seed with FAQ, use cases, architecture examples + - Create "Show and Tell" category for projects using framework +3. **Showcase page** + - Create SHOWCASE.md listing projects using framework + - Before/after examples of documented decisions + - User testimonials and case studies +4. **SEO optimization** + - Improve GitHub repo description and topics + - Add keywords: "Claude", "architecture", "ADR", "decision documentation" + - Create blog post or article about framework (drives inbound links) +5. **"Install with Claude" button** + - Prominent button in README: "Open in Claude Code" + - Links to claude:// URL handler for one-click installation + +**What it excludes**: +- Marketplace metadata creation and maintenance +- Fourth distribution channel support burden +- Marketplace-specific testing and compliance +- Marketplace policy monitoring +- Version synchronization with marketplace +- Marketplace user support overhead + +**Why it might be sufficient**: +- **Targets same users**: Claude users who need architecture documentation (same target audience as marketplace) +- **Lower maintenance burden**: No new distribution channel - enhances existing GitHub channel +- **GitHub is trusted source**: Developers already trust GitHub for tools - no trust gap to overcome +- **Native Claude Code support**: Claude Code can install directly from GitHub URLs - no marketplace required +- **Faster to implement**: 2 weeks vs 6 weeks for marketplace preparation +- **Fully reversible**: Can still do marketplace later if GitHub enhancements prove insufficient +- **Validates demand**: If GitHub installations plateau despite improvements, signals marketplace need + +**Estimated effort**: 2 weeks vs 6 weeks for marketplace preparation + +#### Pragmatic Questions + +1. **Do we NEED marketplace listing right now?** + - **Answer**: No, it's "nice to have" for growth. Framework is functional and growing organically through GitHub. + - **Evidence**: No user requests for marketplace listing, current channels working, v1.3.0 stable and adopted. + +2. **What breaks if we don't implement marketplace plugin?** + - **Answer**: Nothing breaks. Growth may be slower for Claude-native users who don't browse GitHub, but framework continues functioning and serving current users well. + +3. **What's the simplest way to increase Claude user discovery?** + - **Answer**: Enhance GitHub presence with better README, demo video, "Install with Claude" button, and SEO. Reaches Claude users without fourth distribution channel maintenance burden. + +4. **What's the cost of implementing marketplace plugin now?** + - **Answer**: + - Time: 4-6 weeks preparation + implementation + testing + - Maintenance: Ongoing fourth channel support burden for solo maintainer + - Opportunity cost: Could use those weeks for features or documentation improvements + - Risk: Premature submission with insufficient polish damages reputation + +5. **What's the cost of waiting 3-6 months?** + - **Answer**: + - Lost visibility: Medium (but mitigated by GitHub enhancements) + - Competitor risk: Low (no direct competitors visible yet) + - Technical debt: None (doesn't increase complexity to wait) + - User impact: Low (current users unaffected) + +6. **Is "be everywhere" actually best practice for solo-maintained projects?** + - **Answer**: No - focus and sustainability often beat omnipresence. Four distribution channels is high burden for one person. Better to do three channels excellently than four channels adequately. + +7. **Are we solving a problem that actually exists?** + - **Answer**: Partially. Discovery problem exists, but is it severe enough to justify fourth channel? No evidence of users abandoning framework due to discovery difficulty. GitHub installation is working. + +8. **Can we defer part of this?** + - **Answer**: Yes - enhance GitHub now (quick win, low burden), marketplace later if validated need (deferred complexity). + +#### Recommendation: 🔧 **Simplified Version** (Phased Approach) + +**Justification**: + +While marketplace plugin's complexity-to-necessity ratio (1.17) is within acceptable range (<1.5), several pragmatic factors suggest a simplified phased approach: + +1. **Maintenance Burden Disproportionate to Value**: + - Complexity score: 7/10 (moderate) + - Maintenance burden: 8/10 (high) + - Necessity score: 6/10 (useful but not critical) + - **Conclusion**: Ongoing maintenance cost exceeds immediate value, especially for solo maintainer + +2. **Framework Already Successful**: + - Growing organically through GitHub distribution + - Claude Code natively supports GitHub installation + - No evidence of user abandonment due to discovery difficulty + - **Conclusion**: Not solving acute pain point + +3. **Preparation Gap**: + - 4-6 weeks preparation needed (tests, refactoring, security, benchmarks) + - Solo maintainer must invest significant time + - Opportunity cost: could improve features or documentation instead + - **Conclusion**: High upfront investment for uncertain return + +4. **Reversibility Advantage of Waiting**: + - Enhancing GitHub is fully reversible + - Can still do marketplace after validating need + - Marketplace submission is less reversible (reputation risk) + - **Conclusion**: Low-risk path validates demand first + +**Recommended Phased Approach**: + +**Phase 1 - Enhanced GitHub Presence** (NOW - 2 weeks, Immediate) +- Improve README with prominent demo video, clear "Install with Claude" quick-start +- Add visual installation decision tree: "Which method is right for me?" +- Enable GitHub Discussions, seed with FAQ and use cases +- Create SHOWCASE.md with projects using framework +- Optimize for "Claude architecture documentation" SEO +- Add prominent "Open in Claude Code" button +- **Benefits**: + - Quick win: 2 weeks vs 6 weeks for marketplace + - Validates demand before major investment + - No new maintenance burden + - Fully reversible + - Improves experience for all users regardless of marketplace decision +- **Cost**: 2 weeks effort, no ongoing burden +- **Reversibility**: Fully reversible (improvements stay even if marketplace pursued later) + +**Phase 2 - Marketplace Plugin** (Month 3-4, Conditional) +**Proceed ONLY IF any of these triggers occur**: +- GitHub installation rate plateaus despite improvements +- User requests for marketplace listing (threshold: >10 explicit requests) +- Marketplace becomes measurably dominant Claude plugin discovery mechanism +- Maintainer capacity increases (co-maintainer joins, or automation significantly reduces burden) +- Competitor enters marketplace and gains traction (reactive defensive move) + +**If Phase 2 triggers met, then**: +- Complete preparation checklist (tests, security audit, refactoring, benchmarks) +- Design marketplace plugin as thin wrapper around MCP package +- Implement automated release pipeline (synchronize all channels) +- Submit as "beta" for feedback gathering +- User testing with unfamiliar testers +- Promote to stable after validation + +**Deferral Tracking**: +During Phase 1, track these metrics monthly: +- GitHub clone rate trend +- Installation method preferences (Skills vs MCP vs Traditional) +- Explicit user requests for marketplace listing (count and context) +- Marketplace maturity signals (number of architecture/dev tools plugins, Claude promotion efforts) +- Competitor activity in marketplace +- Maintainer capacity and automation improvements + +**What Success Looks Like in Phase 1**: +- 50%+ increase in GitHub clone rate within 2 months +- Clear user preference signals for installation methods +- Reduced "how do I install?" support questions +- Positive community engagement in GitHub Discussions +- Showcase page with 5+ projects using framework + +**Decision Point for Phase 2**: +After 3 months of Phase 1, review metrics: +- IF triggers met AND maintenance capacity exists → Proceed to Phase 2 +- IF triggers not met → Continue with Phase 1, defer marketplace indefinitely +- IF uncertainty → Extend Phase 1 another 3 months, gather more data + +**Why This Approach is More Pragmatic**: +- **Validates demand before investment**: Don't build marketplace plugin until proven need +- **Delivers value faster**: 2 weeks vs 6 weeks to first improvement +- **Reduces risk**: GitHub enhancements are low-risk, marketplace submission is higher-stakes +- **Respects capacity constraints**: Doesn't overburden solo maintainer +- **Maintains optionality**: Can still do marketplace later with more confidence +- **Focuses on problem**: Solves discovery issue without committing to fourth channel maintenance + +**Pragmatic Mode Intensity**: Balanced +- Accepting that marketplace plugin complexity is justified (ratio 1.17 < 1.5) +- BUT suggesting phased approach to manage risk and validate demand +- Not blocking marketplace entirely (that would be "strict") +- Not accepting full complexity immediately (that would be "lenient") +- Finding middle ground: enhance GitHub first, marketplace when validated + +#### Cost-Benefit Summary + +**Marketplace Plugin Immediate**: +- **Benefit**: Early marketplace visibility, first-mover advantage +- **Cost**: 6 weeks preparation + ongoing fourth channel maintenance +- **Risk**: Premature submission, solo maintainer burnout, uncertain ROI + +**Enhanced GitHub First**: +- **Benefit**: Quick value (2 weeks), validates demand, improves for all users +- **Cost**: 2 weeks effort, no ongoing burden +- **Risk**: Very low, fully reversible + +**Recommendation**: Enhanced GitHub first, marketplace conditional on validated triggers. + +--- + +## Collaborative Discussion + +### Opening Context + +**Systems Architect**: "We're evaluating adding Claude marketplace as a fourth distribution channel for the AI Software Architect framework. Currently we have Skills, MCP, and Traditional clone methods working well. The marketplace offers improved discoverability for Claude-native users, but we need to carefully consider the architectural implications of adding another channel." + +**Domain Expert**: "From a market perspective, the timing is interesting. Claude marketplace is relatively new, so early presence could establish us as the go-to architecture documentation tool. However, we need to ensure the marketplace listing clearly communicates our value proposition to users who may not be familiar with terms like ADR or architecture review." + +**Security Specialist**: "I want to emphasize that marketplace submission requires a higher security bar than GitHub distribution. Users trust the marketplace curation, so we need formal security audits, dependency scanning, and clear data handling policies. The good news is our architecture is already sound - no external API calls, local-only file operations - but we need to formalize and document these security properties." + +**Performance Specialist**: "Marketplace plugins are measured on performance - startup time, response latency, memory footprint. Our current MCP server hasn't been benchmarked. We need baseline metrics and optimization before submitting. The progressive disclosure pattern helps with token efficiency, but we should also optimize file I/O and implement config caching." + +**Maintainability Expert**: "My primary concern is the maintenance burden. The MCP server is approaching 2000 lines in a single file, we have no automated tests, and we're already maintaining three distribution channels. Adding a fourth channel without addressing these fundamentals could create technical debt that becomes unsustainable." + +**Implementation Strategist**: "This is really a timing and readiness question. The marketplace opportunity is real, but is NOW the right time? The codebase needs 4-6 weeks of hardening - tests, refactoring, security audit, performance optimization. And we need to honestly assess if a solo maintainer can sustainably support four channels. I'm concerned about premature submission damaging our reputation." + +**AI Engineer**: "I see this through the lens of AI integration patterns. The marketplace uses semantic search, so our metadata needs to be LLM-optimized. We should test the plugin thoroughly with Claude's agentic workflows - multi-step operations, error recovery, context carryover. And we're currently flying blind without observability - we need local telemetry to understand how users interact with the plugin." + +**Pragmatic Enforcer**: "Let me inject some YAGNI thinking here. The complexity-to-necessity ratio is 1.17 - just under our 1.5 threshold but close. The marketplace plugin is 'nice to have' for growth, not 'must have' for function. Framework is already working and growing organically. My question: what's the simplest way to solve the discovery problem? Do we really need a fourth distribution channel, or could we enhance our GitHub presence first and defer the marketplace until demand is validated?" + +### Common Ground + +The architecture team agrees on: + +1. **Marketplace Opportunity is Real**: Claude marketplace could significantly improve discoverability for Claude-native users who don't browse GitHub. Early presence offers first-mover advantage. + +2. **Codebase Needs Hardening**: Before marketplace submission, the framework needs 4-6 weeks of preparation: + - Automated test suite (currently missing) + - Code modularization (index.js approaching 2000 lines) + - Security audit and dependency scanning + - Performance benchmarks and optimization + - Error message improvements + +3. **Maintenance Burden is Significant**: Fourth distribution channel adds non-trivial ongoing obligations: + - Version synchronization across four channels + - Marketplace-specific support and compliance + - Increased user expectations + - Solo maintainer capacity constraints + +4. **Thin Wrapper Architecture is Optimal**: If marketplace plugin is built, it should be 95%+ code-shared with MCP package: + - Minimizes code duplication + - Simplifies maintenance + - Ensures feature parity across channels + +5. **Phased Approach is Prudent**: Some form of progressive rollout reduces risk: + - Preparation phase before submission + - Beta testing with early users + - Validation before stable promotion + +### Areas of Debate + +**Topic: Timing - Launch Now vs Wait** + +**Launch Now Camp**: +- **Systems Architect**: "Early marketplace presence builds brand recognition. Claude marketplace is new - being among the first architecture tools creates mindshare advantage. Waiting means potentially missing the early-adopter visibility window." +- **Domain Expert**: "First-mover advantage is real. No direct competitors visible in marketplace yet. Establishing ourselves as THE architecture documentation tool for Claude users is valuable positioning." +- **AI Engineer**: "The marketplace uses semantic search which favors our LLM-optimized design. Our progressive disclosure pattern is competitive advantage. Better to claim that space early." + +**Wait Camp**: +- **Pragmatic Enforcer**: "Framework is growing organically without marketplace - we're not solving an acute pain point. Necessity score is only 6/10. Why add complexity and maintenance burden before validating demand?" +- **Implementation Strategist**: "System isn't ready. Missing tests, security audit, performance benchmarks. Premature submission risks poor ratings and reputation damage that's hard to recover from. Solo maintainer also needs sustainable capacity model before marketplace commitment." +- **Maintainability Expert**: "Technical debt needs addressing first. Can't add fourth channel on top of 2000-line monolithic file with no tests. That's building on shaky foundation." + +**Resolution**: +Team consensus on **TWO-PHASE APPROACH**: +- **Phase 1** (Immediate, 2 weeks): Enhanced GitHub presence - improves discovery without new maintenance burden, validates demand, fully reversible +- **Phase 2** (Conditional, Month 3-4): Marketplace plugin if triggers met (demand validated, capacity available, preparation complete) + +This satisfies both camps: quick improvements (Launch Now) while respecting readiness concerns (Wait). + +**Topic: Plugin Architecture - Thin Wrapper vs Rich Experience** + +**Thin Wrapper Camp**: +- **Systems Architect**: "Marketplace plugin should be minimal metadata that points to existing npm package. Shares 95%+ code with MCP server. Any improvements benefit all channels simultaneously." +- **Maintainability Expert**: "Code sharing is critical for sustainable maintenance. Thin wrapper means bugs fixed once, features added once, tests written once." +- **Pragmatic Enforcer**: "Simplest approach. Don't build marketplace-specific features until validated need. Start thin, evolve if usage justifies." + +**Rich Experience Camp**: +- **Domain Expert**: "Marketplace enables unique features - ratings, auto-updates, in-app UI, onboarding flows. We should leverage platform capabilities to create differentiated experience." +- **AI Engineer**: "Marketplace context differs from command-line MCP. Could add guided tutorials, visual member customization, interactive setup. Make it feel native to marketplace environment." + +**Resolution**: +Team consensus on **PROGRESSIVE ENRICHMENT**: +- **MVP** (Week 1-2): Thin wrapper with feature parity to MCP package +- **Validation** (Month 1-3): Gather usage data, user feedback, marketplace capability discovery +- **Enrichment** (Month 4+): Add marketplace-specific features if data justifies investment + +Start simple, evolve based on validated demand. Satisfies both camps: thin wrapper reduces initial complexity, rich experience remains option for future if validated. + +**Topic: Feature Parity - Identical vs Platform-Optimized** + +**Unified Camp**: +- **Systems Architect**: "All channels should have identical core capabilities - setup, ADR creation, reviews, pragmatic mode. Users should be able to switch installation methods without losing functionality." +- **Security Specialist**: "Consistent security model across channels reduces attack surface and simplifies auditing." + +**Optimized Camp**: +- **Domain Expert**: "Each platform has strengths - Skills have auto-invocation, MCP has programmatic automation, marketplace has ratings and discovery. We should embrace platform differences." +- **AI Engineer**: "Marketplace might enable features impossible elsewhere - in-app analytics dashboard, visual configuration UI, community showcase integration. Optimize for each platform." + +**Resolution**: +Team consensus on **CORE PARITY + OPTIONAL ENHANCEMENTS**: +- **Core Features**: Identical across all channels (setup, ADR, reviews, members, status, pragmatic mode) +- **Platform Enhancements**: Optional additions that leverage unique capabilities (Skills auto-invocation, marketplace ratings, MCP programmatic API) +- **Documentation**: Clear matrix showing what's core (all channels) vs enhanced (specific channels) + +Users can confidently switch between channels knowing core functionality is preserved, while power users can leverage platform-specific enhancements. + +### Priorities Established + +**Critical (Address Immediately - Week 0)**: + +1. **Make Timing Decision** (Systems, Implementation, Pragmatic) + - Decide: marketplace now vs enhanced GitHub first vs hybrid approach + - Review system readiness checklist and team capacity assessment + - Consider: Is framework ready? Is team ready? Is demand validated? + - Document decision rationale in ADR + - **Justification**: All subsequent work depends on this strategic decision - marketplace path requires 6 weeks preparation, GitHub path requires 2 weeks enhancement + +2. **If Marketplace Chosen: Create Preparation Roadmap** (All members) + - Define 4-6 week preparation phase with specific deliverables and owners + - Break down: test suite implementation, code modularization, security audit, performance optimization, error message improvements + - Allocate capacity realistically for solo maintainer + - **Justification**: Marketplace submission without preparation risks rejection or poor launch reception + +**Important (Address Soon - Week 1-3)**: + +1. **Implement Test Suite** (Maintainability, Security, Implementation) + - Integration tests for all MCP tools (setup, ADR, reviews, status, pragmatic mode) + - Target 80%+ coverage of core functionality + - Test both happy paths and error cases + - Document testing approach for future contributions + - **Justification**: Tests are foundation for confident changes - required before marketplace submission, beneficial regardless + +2. **Extract Code to Modules** (Maintainability, Systems) + - Refactor index.js (1823 lines) into focused modules + - Create tools/ directory: setup.js, adr.js, review.js, pragmatic.js, status.js + - Maintain single export point for backwards compatibility + - **Justification**: Improves code navigability and maintainability - prerequisite for sustainable multi-channel support + +3. **Security Audit and Hardening** (Security, Implementation) + - Run `npm audit` and resolve high/critical vulnerabilities + - Formal security review of file operations and permissions + - Document data handling policy + - Validate file system isolation with tests + - **Justification**: Marketplace requires security rigor, users expect trust + +4. **Performance Baseline and Optimization** (Performance, AI Engineer) + - Benchmark: startup time, setup duration, operation latency, memory footprint + - Implement config caching with file watchers + - Optimize setup process with progress indicators + - Document performance characteristics + - **Justification**: Marketplace measures plugin performance, affects visibility and ratings + +**Nice-to-Have (Consider Later - Week 4+)**: + +1. **Marketplace Metadata Creation** (Domain, AI Engineer) + - Write marketplace description optimized for semantic search + - Create icons, screenshots, demo assets + - Design onboarding tutorial flow + - **Justification**: Only needed if marketplace path chosen and preparation complete + +2. **Enhanced GitHub Presence** (Domain, Systems, Pragmatic) + - Improve README with decision tree and prominent demo video + - Enable GitHub Discussions with seeded FAQ + - Create SHOWCASE.md with example projects + - Optimize for SEO (Claude architecture documentation) + - **Justification**: Quick win regardless of marketplace decision - improves all users' experience + +3. **Local Observability Implementation** (AI Engineer, Performance) + - Privacy-respecting telemetry for usage patterns + - Local-only metrics storage, optional anonymous sharing + - Debug command to view local stats + - **Justification**: Enables data-driven iteration, but not blocking for launch + +4. **Release Automation** (Maintainability, Systems) + - CI/CD pipeline for synchronized multi-channel releases + - Git tag triggers npm publish, Skills update, marketplace sync + - Automated changelog generation + - **Justification**: Critical for four-channel sustainability, but can be manual initially + +### Recommendation Synthesis + +**Team Consensus: TWO-PHASE MARKETPLACE STRATEGY** + +**Phase 1 - Enhanced GitHub Presence** (IMMEDIATE, Week 1-2): +- **Improves**: Discovery, onboarding, community engagement +- **Delivers**: Quick value without new maintenance burden +- **Validates**: Marketplace demand through metrics (clone rate, user requests) +- **Effort**: 2 weeks +- **Reversibility**: Fully reversible, improves experience regardless +- **Supported by**: All team members as quick win + +**Actions**: +1. Improve README: prominent video, "Install with Claude" button, installation decision tree +2. Enable GitHub Discussions: seed with FAQ, use cases, "Show and Tell" category +3. Create SHOWCASE.md: projects using framework, before/after examples +4. Optimize SEO: repo description, topics, keywords (Claude, architecture, ADR) +5. Measure baseline: GitHub clone rate, installation method preferences, support questions + +**Phase 2 - Marketplace Plugin** (CONDITIONAL, Month 3-4): +- **Triggers**: Proceed only if (1) GitHub enhancements plateau, OR (2) 10+ user requests for marketplace, OR (3) marketplace becomes dominant discovery, OR (4) maintainer capacity increases +- **Requires**: 4-6 weeks preparation before submission +- **Delivers**: Marketplace presence with confidence in quality +- **Effort**: 6 weeks total (preparation + submission + iteration) +- **Reversibility**: Limited after submission, but thin wrapper enables maintenance +- **Supported by**: All team members with timing contingencies + +**Preparation Checklist** (if Phase 2 triggered): +- Week 1-2: Extract modules, implement test suite (80%+ coverage) +- Week 3: Security audit, dependency scanning, data policy documentation +- Week 4: Performance benchmarks, optimization (caching, setup progress, I/O) +- Week 5: Error message improvements, marketplace metadata creation +- Week 6: Beta submission, user testing (3-5 unfamiliar users), iteration + +**Marketplace Architecture** (if built): +``` +Claude Marketplace Listing + ↓ +Thin Wrapper (@ai-software-architect/marketplace) + ↓ (95% delegation) +MCP Core Package (ai-software-architect npm) +``` + +**Benefits**: +- Code sharing minimizes maintenance burden +- Improvements benefit all channels +- Platform-specific optimizations remain optional +- Feature parity preserved across channels + +**Success Criteria**: + +**Phase 1 Success** (triggers Phase 2 consideration): +- 50%+ increase in GitHub clone rate within 2 months +- Clear user preference signals for installation methods +- Active community engagement in Discussions +- 5+ projects in SHOWCASE.md +- User requests for marketplace listing (threshold: 10+) + +**Phase 2 Success** (validates marketplace investment): +- Marketplace submission approved within 2 weeks +- 4+ star average rating after 100 installs +- 20%+ of new users from marketplace +- Support burden <2 hours/week +- No major security or performance incidents + +**Monitoring** (during Phase 1): +Track monthly: +- GitHub clone rate trend +- Installation method distribution +- Explicit marketplace requests (count and context) +- Marketplace maturity (plugin count, Claude promotion) +- Maintainer capacity and automation progress + +**Decision Point**: After 3 months Phase 1, review metrics → proceed to Phase 2 if triggers met, otherwise continue Phase 1. + +--- + +## Consolidated Findings + +### Strengths + +1. **Strong Technical Foundation**: Existing MCP server with stdio transport protocol provides excellent basis for marketplace plugin. Clean abstraction between Skills, MCP, and Traditional channels demonstrates architectural maturity. Can leverage this foundation for fourth channel. + +2. **Clear Market Differentiation**: "Externalizing senior architectural thinking" is compelling value proposition with no direct competitors visible in Claude marketplace. First-mover opportunity for architecture documentation tools. + +3. **LLM-Optimized Design**: Progressive disclosure pattern (ADR-005) positions framework competitively in marketplace where instruction token efficiency matters. Natural language command patterns are Claude-friendly. + +4. **Comprehensive Documentation**: Mature external documentation (README, USAGE, AGENTS.md, ADRs, examples) signals production readiness to marketplace reviewers. Self-documenting through dogfooding validates practices. + +5. **Security-Sound Architecture**: Local-only file operations, no external API calls, explicit permission model, version-pinned dependencies provide solid security foundation. Needs formalization but fundamentally sound. + +6. **Organic Growth Trajectory**: Framework growing through GitHub demonstrates market validation. Not starting from zero - have proven demand and user base. + +7. **Modular Distribution Strategy**: Three working channels (Skills, MCP, Traditional) show ability to support multiple distribution models. Architectural patterns are reusable for marketplace. + +### Areas for Improvement + +1. **Test Infrastructure**: + - **Current state**: No automated test suite visible, manual testing only + - **Desired state**: 80%+ integration test coverage of core MCP tools + - **Gap**: Test framework setup, test writing for all operations, CI integration + - **Priority**: High (blocking for marketplace submission) + - **Impact**: Tests enable confident changes, catch regressions, required for quality + +2. **Code Organization**: + - **Current state**: MCP server is single 1,823-line file (index.js) + - **Desired state**: Modular structure with focused files per tool domain + - **Gap**: Extract to tools/ directory (setup.js, adr.js, review.js, pragmatic.js, status.js) + - **Priority**: High (prerequisite for sustainable maintenance) + - **Impact**: Improves navigability, reduces bug risk, enables parallel development + +3. **Security Formalization**: + - **Current state**: Sound security practices but informal, no documented audit + - **Desired state**: Formal security audit, dependency scanning, documented data policy + - **Gap**: Security review, `npm audit` automation, file system isolation tests + - **Priority**: High (marketplace requirement) + - **Impact**: User trust, marketplace approval, compliance + +4. **Performance Baseline**: + - **Current state**: No performance benchmarks, unknown marketplace performance profile + - **Desired state**: Documented startup time, operation latency, memory footprint baselines + - **Gap**: Benchmark suite, optimization targets, monitoring implementation + - **Priority**: High (marketplace measures performance) + - **Impact**: User experience, marketplace visibility, optimization guidance + +5. **Observability**: + - **Current state**: No usage metrics, qualitative feedback only (GitHub issues) + - **Desired state**: Local telemetry showing feature usage, success rates, error patterns + - **Gap**: Privacy-respecting observability layer, opt-in anonymous metrics + - **Priority**: Medium (enables iteration but not blocking) + - **Impact**: Data-driven improvement, UX optimization, feature prioritization + +6. **Error Message UX**: + - **Current state**: Technical error messages for developers + - **Desired state**: User-friendly messages with actionable next steps + - **Gap**: Error message audit and rewrite for marketplace audience + - **Priority**: Medium (affects user experience) + - **Impact**: Reduced support burden, better ratings, improved onboarding + +7. **Multi-Channel Release Process**: + - **Current state**: Manual coordination across three channels + - **Desired state**: Automated pipeline - git tag triggers all channel updates + - **Gap**: CI/CD workflow, version synchronization, changelog automation + - **Priority**: Medium (important for four-channel sustainability) + - **Impact**: Reduces manual work, prevents version drift, accelerates fixes + +8. **Marketplace Readiness**: + - **Current state**: Framework works well, but not marketplace-optimized + - **Desired state**: Marketplace metadata, onboarding, semantic search optimization + - **Gap**: Description writing, icon/screenshot creation, tutorial design + - **Priority**: Low (only needed if marketplace path chosen) + - **Impact**: Marketplace discovery, conversion, user success + +### Technical Debt + +**High Priority**: + +- **Monolithic MCP Server**: + - **Impact**: Difficult to navigate 1,823-line file, high bug risk, slows development + - **Resolution**: Extract to focused modules (tools/ directory structure) + - **Effort**: Medium (3-5 days refactoring, preserving backwards compatibility) + - **Recommended Timeline**: Before marketplace submission (Week 1-2 of preparation phase) + +- **Missing Test Suite**: + - **Impact**: Regressions go undetected, changes require extensive manual testing, marketplace rejection risk + - **Resolution**: Implement integration tests for all MCP tools, 80%+ coverage target + - **Effort**: Large (5-7 days framework setup + test writing) + - **Recommended Timeline**: Before marketplace submission (Week 1-2 of preparation phase) + +**Medium Priority**: + +- **Configuration Re-parsing**: + - **Impact**: YAML parse overhead on every operation, cumulative latency + - **Resolution**: Implement in-memory cache with file watcher invalidation + - **Effort**: Medium (2-3 days caching layer) + - **Recommended Timeline**: During performance optimization (Week 4 of preparation phase) + +- **Informal Security Practices**: + - **Impact**: Sound architecture but undocumented, no formal audit trail + - **Resolution**: Security audit, dependency scanning automation, documented policy + - **Effort**: Small (1-2 days audit + documentation) + - **Recommended Timeline**: Before marketplace submission (Week 3 of preparation phase) + +- **Manual Release Coordination**: + - **Impact**: Time-consuming, error-prone, delays fixes across channels + - **Resolution**: CI/CD pipeline for synchronized multi-channel releases + - **Effort**: Medium (3-4 days pipeline setup) + - **Recommended Timeline**: Before adding fourth channel (Month 2-3) + +**Low Priority**: + +- **Template File I/O**: + - **Impact**: Repeated disk reads for static content, minor latency + - **Resolution**: Pre-load templates at startup into memory + - **Effort**: Small (1 day) + - **Recommended Timeline**: During performance optimization phase (optional) + +- **Large Project Analysis Scaling**: + - **Impact**: Slow setup in monorepos with thousands of files + - **Resolution**: Configurable timeout, sample-based analysis, depth limits + - **Effort**: Medium (2-3 days) + - **Recommended Timeline**: After marketplace launch based on user feedback + +### Risks + +**Technical Risks**: + +- **Marketplace Rejection** (Likelihood: Medium, Impact: High) + - **Description**: Submission rejected due to missing tests, security concerns, or performance issues + - **Mitigation**: Complete preparation checklist before submission (tests, security audit, benchmarks), beta submission for feedback first + - **Owner**: Implementation Strategist + all technical members + - **Timeline**: Mitigate during preparation phase (Week 1-4) + +- **Performance Issues at Scale** (Likelihood: Low-Medium, Impact: Medium) + - **Description**: Plugin performs poorly for large projects or under load, leads to poor ratings + - **Mitigation**: Establish baselines, implement caching, optimize setup, add progress indicators, test with large projects + - **Owner**: Performance Specialist + AI Engineer + - **Timeline**: Week 4 of preparation phase + +- **Dependency Vulnerabilities** (Likelihood: Low, Impact: High) + - **Description**: Security vulnerabilities in dependencies lead to marketplace rejection or security incidents + - **Mitigation**: Automated `npm audit` in CI, block releases with high/critical CVEs, maintain update schedule + - **Owner**: Security Specialist + - **Timeline**: Immediate (Week 1), ongoing maintenance + +**Business Risks**: + +- **Maintenance Burnout** (Likelihood: High, Impact: High) + - **Description**: Solo maintainer overwhelmed by four-channel support burden, project stagnates or abandoned + - **Mitigation**: + - Design thin wrapper to minimize code duplication (95%+ sharing) + - Automate releases to reduce manual coordination + - Set clear support expectations in marketplace description (3-5 day response time) + - Consider co-maintainer recruitment or community moderator roles + - If unsustainable, deprecate least-used channel + - **Owner**: Implementation Strategist + all members + - **Timeline**: Ongoing capacity planning, automate before marketplace launch + +- **User Confusion** (Likelihood: Medium, Impact: Medium) + - **Description**: Four installation methods create decision paralysis, users choose wrong method, support burden increases + - **Mitigation**: Clear installation decision tree, use case differentiation by persona, prominent guidance in all documentation + - **Owner**: Domain Expert + Systems Architect + - **Timeline**: Week 1 of preparation or GitHub enhancement phase + +- **Low Marketplace Adoption** (Likelihood: Medium, Impact: Medium) + - **Description**: Marketplace plugin doesn't drive significant new user acquisition, doesn't justify maintenance investment + - **Mitigation**: Phase 1 (GitHub enhancement) validates demand before Phase 2 (marketplace), establish success criteria and review after 3 months, can deprecate if not meeting goals + - **Owner**: Domain Expert + Systems Architect + - **Timeline**: Review metrics Month 3-4 + +**Operational Risks**: + +- **Marketplace Policy Changes** (Likelihood: Medium, Impact: Medium) + - **Description**: Claude updates marketplace policies, requires rework or compliance changes + - **Mitigation**: Thin wrapper architecture enables quick adaptations, monitor marketplace announcements, maintain compliance documentation + - **Owner**: Systems Architect + Maintainability Expert + - **Timeline**: Ongoing monitoring post-launch + +- **Version Drift Across Channels** (Likelihood: High without automation, Impact: Medium) + - **Description**: Four channels fall out of sync, users confused about feature availability, support burden increases + - **Mitigation**: Automated release pipeline, shared version number across channels, feature parity documentation matrix + - **Owner**: Maintainability Expert + Systems Architect + - **Timeline**: Implement before fourth channel added (Week 3-4 of preparation) + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **Make Strategic Timing Decision** + - **Why**: All subsequent work depends on this fundamental choice - marketplace path requires 6 weeks preparation, GitHub enhancement requires 2 weeks + - **How**: + - Evaluate system readiness (tests, security, performance, refactoring needs) + - Assess team capacity (solo maintainer, automation level, support bandwidth) + - Review demand signals (user requests, GitHub metrics, competitor analysis) + - Consider phased approach: GitHub first (validate) → marketplace later (if triggered) + - **Owner**: Framework maintainer with input from all architecture perspectives + - **Success Criteria**: Clear decision documented in ADR with rationale and chosen path forward + - **Estimated Effort**: 1-2 days (decision-making, ADR writing, roadmap creation) + +2. **Implement Phase 1: Enhanced GitHub Presence** (RECOMMENDED) + - **Why**: Delivers immediate value regardless of marketplace decision, validates demand with low risk, fully reversible, improves experience for all users + - **How**: + - Improve README: embed Loom demo video prominently, add "Install with Claude" quick-start, create visual installation decision tree + - Enable GitHub Discussions: seed with FAQ, use cases, architecture examples, "Show and Tell" category + - Create SHOWCASE.md: document projects using framework, before/after decision examples, user testimonials + - Optimize SEO: update repo description and topics (Claude, architecture, ADR, documentation), improve keyword presence + - Establish baseline metrics: GitHub clone rate, installation method preferences, support question frequency + - **Owner**: Domain Expert (lead), Systems Architect (decision tree), all members (content) + - **Success Criteria**: + - README includes prominent video and decision tree + - GitHub Discussions enabled with 10+ seeded topics + - SHOWCASE.md created with 3+ examples + - Baseline metrics documented + - **Estimated Effort**: 2 weeks (distributed across team) + +3. **Set Up Monitoring for Phase 2 Triggers** (if phased approach chosen) + - **Why**: Enables data-driven decision on when/if to proceed to marketplace submission + - **How**: + - Document trigger conditions: GitHub plateau, user requests threshold (10+), marketplace dominance signals, capacity increase + - Create tracking spreadsheet: monthly GitHub clone rate, installation method breakdown, marketplace requests count, maintainer capacity hours + - Set review cadence: monthly metric review, quarterly decision point + - **Owner**: Systems Architect (metrics), Implementation Strategist (decision process) + - **Success Criteria**: Tracking system in place, baseline month 1 metrics recorded, first review scheduled + - **Estimated Effort**: 1 day (setup), 1 hour/month (tracking) + +### Short-term (2-8 weeks) + +**IF Phase 2 (Marketplace) is triggered, complete preparation phase**: + +4. **Implement Test Suite** + - **Why**: Required for marketplace quality, prevents regressions, enables confident refactoring, marketplace may require test evidence + - **How**: + - Set up Node.js test framework (built-in test runner or vitest) + - Write integration tests for all MCP tools: setup_architecture, create_adr, start_architecture_review, specialist_review, list_architecture_members, get_architecture_status, configure_pragmatic_mode, pragmatic_enforcer, get_implementation_guidance + - Test happy paths and error cases + - Target 80%+ coverage of core functionality + - Integrate into CI (GitHub Actions) + - **Owner**: Maintainability Expert (lead), Security Specialist (security test cases), Performance Specialist (performance test cases) + - **Success Criteria**: 80%+ test coverage, all core operations tested, CI passing, no regressions detected + - **Estimated Effort**: 5-7 days (framework setup + test writing) + +5. **Extract MCP Server to Modules** + - **Why**: Improves code navigability, reduces bug risk in 1,823-line file, enables parallel development, prerequisite for sustainable maintenance + - **How**: + - Create tools/ directory structure + - Extract tool groups to focused modules: setup.js, adr.js, review.js, pragmatic.js, status.js, implementation.js + - Maintain single export point in index.js for backwards compatibility + - Run test suite to verify no regressions + - Update contribution guidelines with new structure + - **Owner**: Maintainability Expert (lead), Systems Architect (architecture review) + - **Success Criteria**: All tests passing after refactor, <500 lines per module, clear module boundaries, documentation updated + - **Estimated Effort**: 3-5 days (refactoring + validation) + +6. **Security Audit and Hardening** + - **Why**: Marketplace requires security rigor, users expect trust, formal audit provides evidence + - **How**: + - Run `npm audit` and resolve high/critical vulnerabilities + - Manual security review: file operations scope, permission boundaries, dependency chain + - Implement automated `npm audit` in CI (block releases with high/critical CVEs) + - Write data handling policy: "All data local, never transmitted, user controls content" + - Create file system isolation tests (validate .architecture/ namespace) + - Document security model in SECURITY.md + - **Owner**: Security Specialist (lead), Systems Architect (architecture review) + - **Success Criteria**: No high/critical npm vulnerabilities, security policy documented, isolation tests passing, SECURITY.md published + - **Estimated Effort**: 1-2 days (audit + documentation) + +7. **Performance Baseline and Optimization** + - **Why**: Marketplace measures performance, affects visibility and ratings, optimization needs baseline + - **How**: + - Create performance benchmark suite: startup time, setup duration, operation latency (ADR creation, review start), memory footprint + - Run benchmarks on reference project, document baselines + - Implement config caching: in-memory cache for config.yml and members.yml with file watcher invalidation + - Optimize setup process: add progress indicators, streaming file copy, parallelize analysis + - Document performance characteristics and targets + - **Owner**: Performance Specialist (lead), AI Engineer (observability) + - **Success Criteria**: + - Startup time <500ms + - Setup duration <10s with progress indicators + - Memory footprint <50MB baseline + - Config caching implemented + - **Estimated Effort**: 3-4 days (benchmarking + optimization + UX) + +8. **Improve Error Messages** + - **Why**: Marketplace users expect friendly guidance, better UX reduces support burden, affects ratings + - **How**: + - Audit all error cases in MCP server + - Rewrite messages with user-friendly language and actionable next steps + - Examples: + - Before: "Error: ENOENT .architecture" + - After: "Can't find .architecture directory. Run 'Setup ai-software-architect' first to initialize the framework." + - Test error messages with users unfamiliar with framework + - **Owner**: Domain Expert (UX), Maintainability Expert (implementation) + - **Success Criteria**: All error paths have friendly messages, user testing validates clarity, no generic error messages remain + - **Estimated Effort**: 2-3 days (audit + rewrite + testing) + +9. **Design Marketplace Plugin Architecture** + - **Why**: Thin wrapper minimizes maintenance burden of fourth channel, code sharing benefits all channels + - **How**: + - Create architecture design: marketplace listing → thin wrapper → MCP core + - Design wrapper package structure: @ai-software-architect/marketplace + - Define marketplace-specific config layer (minimal) + - Document 95%+ code sharing goal + - Write ADR documenting architecture decision + - **Owner**: Systems Architect (lead), Maintainability Expert (maintenance implications) + - **Success Criteria**: Architecture documented in ADR, code sharing percentage defined, wrapper interface designed + - **Estimated Effort**: 2-3 days (design + ADR) + +10. **Create Marketplace Metadata** + - **Why**: First impression for marketplace users, affects discoverability through semantic search + - **How**: + - Research Claude marketplace requirements and guidelines + - Write marketplace description optimized for semantic search: + - Include problem-space keywords: "document decisions", "review architecture" + - Add synonyms: "ADR" AND "Architecture Decision Record" + - Provide concrete use case examples + - Create visual assets: icon, screenshots, demo GIF + - Design onboarding flow: first-run tutorial concept + - Choose marketplace category and tags: "Development Tools", "Architecture", "Documentation" + - **Owner**: Domain Expert (copy), AI Engineer (semantic optimization), Systems Architect (screenshots) + - **Success Criteria**: Description complete, icon created (multiple sizes), 3+ screenshots, category chosen + - **Estimated Effort**: 2-3 days (research + writing + assets) + +11. **Set Up Release Automation** + - **Why**: Four channels require synchronized releases, automation reduces manual work and prevents version drift + - **How**: + - Create GitHub Actions workflow triggered by semver tag + - Workflow steps: run tests → publish npm package → update Skills bundle → trigger marketplace update → generate changelog + - Test workflow on beta/staging channels first + - Document release process for contributors + - **Owner**: Maintainability Expert (lead), Systems Architect (review) + - **Success Criteria**: Git tag triggers all channel updates, version numbers synchronized, changelog auto-generated, release docs updated + - **Estimated Effort**: 3-4 days (pipeline setup + testing + documentation) + +12. **Conduct User Testing** + - **Why**: Validates onboarding UX before stable launch, identifies confusion patterns, marketplace approval doesn't guarantee user success + - **How**: + - Recruit 3-5 beta testers unfamiliar with framework (social media, Discord, GitHub Discussions) + - Conduct screen-share sessions: observe installation, first ADR creation, command discovery + - Don't intervene - note confusion points, abandoned flows, error encounters + - Analyze patterns across testers + - Iterate on highest-impact issues + - **Owner**: Domain Expert (lead), AI Engineer (observation), Implementation Strategist (analysis) + - **Success Criteria**: 5 completed user sessions, issues categorized by frequency/impact, top 3 issues addressed + - **Estimated Effort**: 1-2 weeks (recruiting, testing, analysis, fixes) + +### Long-term (2-6 months) + +13. **Submit to Marketplace as Beta** + - **Why**: Limits blast radius, enables feedback gathering before stable promotion, validates approach + - **How**: + - Submit marketplace plugin with "Beta" label + - Respond to marketplace review feedback + - Recruit early adopter beta users (announce in README, GitHub Discussions, social media) + - Monitor beta metrics: install count, ratings, review feedback, support questions + - Iterate on issues discovered during beta phase + - **Owner**: Systems Architect (submission), Domain Expert (user communication), all members (issue resolution) + - **Success Criteria**: + - Beta submission approved by marketplace + - 50+ beta installs + - Early feedback gathered and addressed + - No blocking issues discovered + - **Estimated Effort**: 2 weeks (submission, iteration, monitoring) + - **Timeline**: Month 3-4 if Phase 2 triggered + +14. **Promote to Stable Marketplace Listing** + - **Why**: Full marketplace presence after validating quality through beta phase + - **How**: + - Review beta metrics: ratings (target 4+ stars), feedback themes, success rate + - Address any remaining issues from beta feedback + - Remove beta label, submit for stable promotion + - Progressive announcement strategy: marketplace → social media → newsletter (not all at once) + - Monitor stable metrics: install rate, ratings trend, support burden + - **Owner**: Systems Architect (promotion), Domain Expert (announcements), Implementation Strategist (monitoring) + - **Success Criteria**: + - 4+ star average rating maintained + - 100+ installs within first month + - 20%+ new users from marketplace + - Support burden <2 hours/week + - **Estimated Effort**: 1 week (promotion + announcement + initial monitoring) + - **Timeline**: Month 4-5 if beta successful + +15. **Implement Local Observability Layer** + - **Why**: Enables data-driven iteration on features and UX, understands how users interact with plugin + - **How**: + - Design privacy-respecting telemetry: local-only storage, no transmission, optional anonymous sharing + - Implement metrics collection: operation counts, success rates, error frequencies, performance timings + - Create debug command: `architecture-debug stats` shows user their local metrics + - Document privacy policy: what's collected, what's not, how to opt-in to anonymous sharing + - Add metrics dashboard (future): visualize trends over time + - **Owner**: AI Engineer (lead), Performance Specialist (performance metrics), Security Specialist (privacy review) + - **Success Criteria**: + - Local metrics collection working + - Debug command functional + - Privacy policy documented + - No data transmitted without explicit opt-in + - **Estimated Effort**: 3-5 days (implementation + privacy documentation) + - **Timeline**: Month 2-3 (enables iteration for beta/stable phases) + +16. **Evaluate Marketplace-Specific Features** + - **Why**: Optimize for platform capabilities after validating core value, differentiate marketplace experience + - **How**: + - Analyze usage data from observability layer: which features used most, where do users struggle + - Review marketplace capabilities: auto-updates, ratings integration, in-app UI, community showcase + - Prioritize enhancements: guided tutorials, visual member customization, interactive setup, analytics dashboard + - Implement top priority feature + - Measure impact on user success and ratings + - **Owner**: Domain Expert (prioritization), AI Engineer (implementation), Systems Architect (architecture review) + - **Success Criteria**: + - Data analysis complete + - Feature prioritization documented + - Top feature implemented and deployed + - Impact measured (usage, ratings improvement) + - **Estimated Effort**: 3-5 days per feature + - **Timeline**: Month 5+ after stable launch, based on validated demand + +17. **Review Multi-Channel Strategy** + - **Why**: Assess if four channels are sustainable and valuable, consider consolidation opportunities + - **How**: + - Analyze metrics across all channels: usage distribution, growth trends, support burden per channel + - Evaluate maintenance burden: time spent per channel, bug reports by channel, feature request distribution + - Survey users: which channel do they prefer and why, would they switch if one deprecated + - Decision framework: if channel <10% usage and high maintenance burden, consider deprecation + - Document findings and recommendations in review document + - **Owner**: Systems Architect (analysis), Implementation Strategist (strategy), Maintainability Expert (burden assessment) + - **Success Criteria**: + - Channel usage data compiled + - Maintenance burden quantified + - User preferences understood + - Recommendations documented (consolidate, maintain all, deprecate) + - **Estimated Effort**: 1 week (data gathering + analysis + documentation) + - **Timeline**: Month 6 after stable launch + +--- + +## Success Metrics + +### Phase 1: Enhanced GitHub Presence (Month 1-3) + +1. **GitHub Clone Rate**: + - **Current**: [Establish baseline Week 1] + - **Target**: +50% increase over baseline + - **Timeline**: 2 months after enhancements deployed + - **Measurement**: GitHub Insights API, weekly tracking + +2. **Installation Method Distribution**: + - **Current**: [Establish baseline Week 1] + - **Target**: Clear preference pattern identified (Skills vs MCP vs Traditional), documented user rationale + - **Timeline**: Monthly tracking for 3 months + - **Measurement**: GitHub Discussions polls, user surveys, installation analytics (if implemented) + +3. **Support Question Volume**: + - **Current**: [Establish baseline Week 1] + - **Target**: -30% reduction in "How do I install?" questions + - **Timeline**: 2 months after decision tree deployed + - **Measurement**: GitHub Issues categorization, Discussions topics + +4. **Community Engagement**: + - **Current**: 0 (Discussions not enabled) + - **Target**: 20+ active discussions, 5+ projects in SHOWCASE.md, 10+ contributors in discussions + - **Timeline**: 3 months after Discussions enabled + - **Measurement**: GitHub Discussions metrics, SHOWCASE.md additions + +### Phase 2 Triggers (Month 3-4 evaluation) + +5. **Marketplace Demand Signals**: + - **Current**: 0 explicit user requests + - **Target**: 10+ explicit user requests for marketplace listing OR GitHub clone rate plateaus despite enhancements + - **Timeline**: Evaluate after 3 months Phase 1 + - **Measurement**: GitHub Issues/Discussions requests, support email, social media mentions + +### Phase 2: Marketplace Plugin (if triggered) + +6. **Marketplace Submission Approval**: + - **Target**: Approved within 2 weeks of beta submission, no major issues + - **Timeline**: Week 5-6 of preparation phase + - **Measurement**: Marketplace review timeline, feedback severity + +7. **Beta Phase Success** (Month 4-5): + - **Install Count**: 50+ beta installs + - **Rating**: 4+ stars average + - **Feedback Quality**: Actionable feedback gathered, no blocking issues + - **Timeline**: 2-4 weeks beta phase + - **Measurement**: Marketplace analytics, review content analysis + +8. **Stable Launch Success** (Month 5-6): + - **Installs**: 100+ installs within first month stable + - **Rating**: 4+ stars average maintained + - **New User Distribution**: 20%+ new users from marketplace (vs GitHub) + - **Timeline**: First month after stable promotion + - **Measurement**: Marketplace analytics, user surveys on discovery method + +9. **Support Burden**: + - **Target**: <2 hours/week marketplace-specific support + - **Timeline**: Ongoing after stable launch + - **Measurement**: Issue tracker time logging, support email volume + +10. **Performance Metrics**: + - **Startup Time**: <500ms (measured at plugin load) + - **Setup Duration**: <10s with progress indicators (measured during first-time setup) + - **Operation Latency**: <2s for ADR creation, <3s for review start + - **Memory Footprint**: <50MB baseline (measured during operation) + - **Timeline**: Maintain throughout beta and stable phases + - **Measurement**: Performance benchmark suite, marketplace performance reports + +11. **Security & Reliability**: + - **Security Incidents**: 0 major incidents + - **Dependency Vulnerabilities**: 0 high/critical unpatched + - **Uptime/Availability**: 99.9%+ (no blocking bugs) + - **Timeline**: Ongoing after launch + - **Measurement**: Security audit reports, npm audit logs, bug tracker + +### Long-term Health (Month 6+) + +12. **Multi-Channel Sustainability**: + - **Version Sync**: 100% version parity across all channels + - **Feature Parity**: Core features identical across channels + - **Release Frequency**: <1 day lag between npm publish and all channel updates + - **Timeline**: Ongoing + - **Measurement**: Release pipeline logs, feature matrix documentation + +13. **User Retention**: + - **Active Users**: Growing or stable active user base across all channels + - **Churn Rate**: <20% churn (users who try once and don't return) + - **Repeat Operations**: Users creating multiple ADRs/reviews (indicates value) + - **Timeline**: Quarterly review + - **Measurement**: Observability telemetry (if implemented), GitHub activity, marketplace analytics + +14. **Maintenance Burden Sustainability**: + - **Time Investment**: Maintainer spending <5 hours/week on support and releases + - **Automation Level**: 90%+ release tasks automated + - **Community Contributions**: 3+ active community contributors helping with issues/PRs + - **Timeline**: Quarterly assessment + - **Measurement**: Time tracking, CI/CD automation coverage, contributor metrics + +--- + +## Follow-up + +**Next Review**: Month 3 after Phase 1 deployment (evaluate triggers for Phase 2) + +**Tracking**: +- Create GitHub Project board: "Claude Marketplace Strategy" +- Columns: Backlog, In Progress, Done, Blocked +- Cards for each recommendation with owner, effort estimate, timeline +- Weekly progress updates in project board +- Monthly metrics review meeting + +**Recalibration**: +After implementing recommendations and launching marketplace plugin (if Phase 2 triggered): +``` +"Start architecture recalibration for Claude marketplace plugin" +``` + +This will assess: +- How well did preparation phase address identified gaps? +- Were complexity and necessity assessments accurate? +- Did phased approach reduce risks as intended? +- What marketplace-specific issues emerged post-launch? +- Should multi-channel strategy be reconsidered? + +**Accountability**: +- **Overall Owner**: Framework maintainer (strategic decisions, final approvals) +- **Progress Tracking**: Systems Architect (maintain project board, coordinate members) +- **Check-in Cadence**: + - Weekly: Progress updates in project board (async) + - Monthly: Metrics review and decision point assessment + - Quarterly: Strategic review (continue, pivot, consolidate) +- **Status Updates**: Document in project board, monthly summary in GitHub Discussions + +--- + +## Related Documentation + +**Architectural Decision Records**: +- [ADR-001: CLI Functional Requirements](../decisions/adrs/ADR-001-cli-functional-requirements.md) - Foundation for Skills/MCP architecture +- [ADR-002: Pragmatic Guard Mode](../decisions/adrs/ADR-002-pragmatic-guard-mode.md) - YAGNI enforcement relevant to marketplace feature scope +- [ADR-003: Adoption of Agents.md Standard](../decisions/adrs/ADR-003-adoption-agents-md-standard.md) - Cross-platform documentation approach +- [ADR-004: Implementation Command with Configuration](../decisions/adrs/ADR-004-implementation-command-configuration.md) - Methodology guidance system +- [ADR-005: LLM Instruction Capacity Constraints](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Progressive disclosure pattern (marketplace advantage) +- **[NEW]** ADR-006: Claude Marketplace Strategy - Should document final decision from this review + +**Previous Reviews**: +- [Feature Parity Analysis](./feature-parity-analysis.md) - Comparison across Skills, MCP, Traditional channels +- [Version 1.3.0 Release Review](./1-3-0.md) - Recent release context and stability assessment + +**Referenced Documents**: +- [AGENTS.md](../../AGENTS.md) - Framework overview and core workflows +- [CLAUDE.md](../../CLAUDE.md) - Claude Code-specific features and integration +- [README.md](../../README.md) - Installation comparison matrix and integration methods +- [mcp/package.json](../../mcp/package.json) - Current npm package configuration +- [.architecture/members.yml](../members.yml) - Architecture team member definitions +- [.architecture/config.yml](../config.yml) - Framework configuration including pragmatic mode + +--- + +## Appendix + +### Review Methodology + +This review was conducted using the AI Software Architect framework with the following team members: + +- **Systems Architect**: Overall system coherence, multi-channel architecture, version synchronization +- **Domain Expert**: Market positioning, user personas, marketplace terminology and onboarding +- **Security Specialist**: Security model, marketplace permissions, data handling, dependency scanning +- **Performance Specialist**: Performance benchmarking, optimization, marketplace performance requirements +- **Maintainability Expert**: Code organization, testing, maintenance burden, release automation +- **Implementation Strategist**: Timing assessment, blast radius analysis, reversibility design, team readiness +- **AI Engineer**: LLM optimization, agent patterns, observability, semantic search optimization +- **Pragmatic Enforcer**: YAGNI analysis, necessity vs complexity assessment, simpler alternatives + +Each member reviewed independently, then collaborated to synthesize findings and prioritize recommendations. + +**Pragmatic Mode**: Balanced +- Complexity-to-necessity target ratio: <1.5 +- All recommendations evaluated through YAGNI lens +- Simpler alternative (Enhanced GitHub) proposed and evaluated +- Phased approach recommended to validate demand before full complexity + +### Glossary + +- **ADR**: Architecture Decision Record - Lightweight document capturing important architectural decisions +- **MCP**: Model Context Protocol - Standard for AI assistant tool integration via stdio transport +- **Skills**: Claude Code's reusable skill system for common operations +- **Progressive Disclosure**: Design pattern that limits initial information load, revealing details on demand (ADR-005) +- **Thin Wrapper**: Architecture pattern where marketplace plugin is minimal metadata layer delegating to core package +- **Blast Radius**: Scope of impact if a change fails or needs reversal (how many components/users affected) +- **Reversibility**: Ease of undoing a change or architectural decision +- **Social Cost**: Impact on team understanding and cognitive load (will this confuse more people than it helps) +- **YAGNI**: "You Aren't Gonna Need It" - Pragmatic principle to avoid premature optimization/features +- **Complexity-to-Necessity Ratio**: Pragmatic metric comparing implementation complexity to current need (target <1.5) + +--- + +**Review Complete** +**Date**: 2026-01-21 +**Status**: Comprehensive analysis complete, awaiting strategic decision on Phase 1 (Enhanced GitHub) vs Phase 2 (Marketplace) vs Hybrid approach +**Recommended Next Action**: Create ADR documenting chosen strategy based on this review diff --git a/.architecture/reviews/claude-md-best-practices-humanlayer-article.md b/.architecture/reviews/claude-md-best-practices-humanlayer-article.md new file mode 100644 index 0000000..b4e024c --- /dev/null +++ b/.architecture/reviews/claude-md-best-practices-humanlayer-article.md @@ -0,0 +1,714 @@ +# Architecture Review: CLAUDE.md Best Practices from HumanLayer Article + +**Review Date**: 2025-12-04 +**Review Type**: External Best Practices Analysis +**Source**: [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) +**Context**: Analysis of industry best practices for CLAUDE.md documentation to inform our AI Software Architect framework + +## Executive Summary + +This review analyzes HumanLayer's recommendations for writing effective CLAUDE.md files through the lens of our architecture team. The article presents research-backed insights on LLM instruction capacity, documentation structure, and practical guidelines that have significant implications for our framework's approach to AI assistant onboarding. + +**Key Findings**: +- LLMs have limited instruction-following capacity (~150-200 instructions) +- Claude Code's system prompt already consumes ~50 instructions +- File length consensus: under 300 lines, with best practices under 60 lines +- Progressive disclosure through separate files is superior to comprehensive single files +- Tool-based enforcement (linters, formatters) should replace documentation-based style guidance +- Manual curation is critical for this "highest leverage point" in AI workflows + +--- + +## Individual Member Reviews + +### AI Engineer - LLM Integration & Effectiveness + +**Perspective**: As an AI Engineer specializing in LLM application design, I evaluate these recommendations through the lens of practical AI system performance and user experience. + +#### Critical Findings + +**1. Instruction Capacity Constraints (CRITICAL)** +The article's revelation about LLM instruction limits (~150-200 total) is fundamental: +- Claude Code already uses ~50 instructions in system prompt +- Leaves only 100-150 instructions for project-specific guidance +- Our current CLAUDE.md has 572 lines with extensive procedural instructions +- **Risk**: We're likely exceeding optimal instruction density, causing degraded performance + +**Measurement**: Our CLAUDE.md contains approximately: +- 7 major request recognition patterns (Setup, Update, Implementation, Reviews, Pragmatic Mode) +- Each pattern has 5-10 detailed steps +- Estimated 70-100 discrete instructions +- **Assessment**: At upper boundary of optimal range, but includes redundancy + +**2. Claude Code's System Reminder Behavior (HIGH PRIORITY)** +The article reveals Claude Code injects: "may or may not be relevant to tasks" +- Claude actively filters out non-universally-applicable instructions +- Explains why task-specific "hotfixes" often fail +- Our framework includes setup/update procedures that are rarely relevant during normal work +- **Impact**: Setup instructions consuming instruction budget without delivering value + +**3. Progressive Disclosure Pattern (BEST PRACTICE)** +Recommendation to separate task-specific guidance into `agent_docs/` files: +- Reduces main file instruction density +- Allows targeted loading of relevant context +- Aligns with how Claude Code's Task tool works +- **Opportunity**: Restructure our extensive request recognition patterns + +#### Recommendations + +1. **Immediate**: Separate infrequently-used patterns (Setup, Update) into `agent_docs/setup-guide.md` +2. **High Priority**: Reduce Implementation Command Recognition from 100+ lines to pointer reference +3. **Best Practice**: Create modular documentation structure: + - `CLAUDE.md`: Core concepts, 50-100 lines + - `agent_docs/setup.md`: Setup procedures + - `agent_docs/implementation.md`: Implementation methodology details + - `agent_docs/reviews.md`: Review process details + - `agent_docs/pragmatic-mode.md`: Pragmatic mode mechanics + +4. **Measurement**: Track actual instruction effectiveness through user feedback + +#### Trade-offs + +**Restructuring Benefits**: +- Clearer cognitive load for Claude +- Faster initial context processing +- Better alignment with Claude Code's filtering behavior +- More maintainable documentation + +**Restructuring Costs**: +- Migration effort for existing users +- Need to update documentation to reference new structure +- Potential confusion if not communicated clearly + +**Recommendation**: Benefits significantly outweigh costs. This is a critical optimization. + +--- + +### Maintainability Expert - Documentation Quality + +**Perspective**: As a Maintainability Expert, I assess these recommendations against long-term documentation health, developer comprehension, and maintenance burden. + +#### Critical Findings + +**1. File Length Anti-Pattern (HIGH PRIORITY)** +Our current CLAUDE.md at 572 lines significantly exceeds recommendations: +- HumanLayer consensus: < 300 lines +- HumanLayer's own file: < 60 lines +- Industry best practice: focused, relevant context over comprehensive coverage +- **Impact**: Reduced Claude comprehension, slower processing, maintenance burden + +**Root Cause Analysis**: +- Comprehensive procedural documentation for all scenarios +- Detailed step-by-step instructions for each request type +- Examples and edge cases inline +- No separation between "always relevant" and "sometimes relevant" content + +**2. Progressive Disclosure Pattern (BEST PRACTICE)** +The recommendation for separate markdown files addresses multiple maintainability concerns: +- **Findability**: Specific topics in dedicated files easier to locate +- **Updateability**: Changes scoped to single concern +- **Testability**: Easier to validate specific guidance in isolation +- **Reusability**: Task-specific docs can be referenced by multiple contexts + +**3. Reference vs Embedding Pattern (CRITICAL)** +Article's guidance on `file:line` pointers vs code snippets: +- Embedded code becomes stale (maintenance burden) +- File references stay current automatically +- Reduces duplication and version skew +- **Assessment**: We currently use descriptive text, not code snippets, so partially compliant + +#### Recommendations + +1. **Restructure for Maintainability**: + ``` + CLAUDE.md (60-100 lines) + ├── Core principles (what/why/how) + ├── Project overview + ├── Quick reference links to agent_docs/ + └── Critical-always-relevant guidelines + + agent_docs/ + ├── setup-guide.md (full setup procedures) + ├── implementation-guide.md (methodology details) + ├── review-workflows.md (review processes) + ├── pragmatic-mode-guide.md (YAGNI enforcement) + └── troubleshooting.md (common issues) + ``` + +2. **Maintenance Protocol**: + - Review CLAUDE.md quarterly for relevance + - Track which sections are actually used (user feedback) + - Remove or relocate underutilized content + - Maintain < 100 line target for main file + +3. **Documentation Quality Standards**: + - Every instruction must be universally applicable + - No task-specific workarounds in main file + - All examples moved to separate guides + - Clear pointer references to detailed documentation + +#### Trade-offs + +**Current State Benefits**: +- Everything in one place +- No ambiguity about what's available +- Comprehensive coverage + +**Current State Costs**: +- Exceeds LLM instruction capacity +- Difficult to maintain +- Slower processing +- Some content filtered by Claude Code + +**Recommended State Benefits**: +- Optimal instruction density +- Better maintainability +- Faster processing +- Aligned with Claude Code behavior + +**Recommended State Costs**: +- Learning curve for modular structure +- Need to know where to look +- More files to manage + +**Recommendation**: Strongly favor restructuring. The maintenance and performance benefits are substantial. + +--- + +### Systems Architect - Overall System Coherence + +**Perspective**: As a Systems Architect, I evaluate how these recommendations affect the overall architecture documentation system and cross-assistant compatibility. + +#### Critical Findings + +**1. CLAUDE.md Role in System Architecture (CRITICAL)** +The article positions CLAUDE.md as a "highest leverage point": +- Affects every Claude Code interaction +- Primary onboarding mechanism for AI assistants +- Disproportionate impact on all downstream work +- **Insight**: This validates our investment in comprehensive CLAUDE.md but suggests we're over-investing in the wrong way + +**Current Architecture**: +``` +CLAUDE.md (572 lines, comprehensive) + ├── Setup procedures (rarely used) + ├── Update procedures (rarely used) + ├── Implementation guidance (sometimes used) + ├── Review workflows (frequently used) + └── Pragmatic mode (sometimes used) +``` + +**Optimal Architecture** (based on article): +``` +CLAUDE.md (60-100 lines, high-leverage content) + ├── Project essence (what/why/how) + ├── Architecture framework overview + └── Pointers to detailed guides + +agent_docs/ (detailed, context-specific) + ├── setup-guide.md + ├── implementation-guide.md + ├── review-workflows.md + └── pragmatic-mode-guide.md +``` + +**2. Cross-Assistant Compatibility (MEDIUM PRIORITY)** +Our framework supports Claude, Cursor, and Copilot: +- Article is Claude-specific +- Other assistants may have different instruction capacities +- Progressive disclosure pattern is universally beneficial +- **Consideration**: AGENTS.md remains the cross-platform core + +**System Coherence**: +- AGENTS.md: Cross-platform principles (unchanged) +- CLAUDE.md: Claude-optimized quick reference +- agent_docs/: Detailed task-specific guides (universal) +- .architecture/: Architecture artifacts (unchanged) + +**3. Integration with Existing Architecture Documentation (HIGH PRIORITY)** +Our `.architecture/` directory already follows modular pattern: +- ADRs in separate files +- Reviews in separate files +- Templates in separate directory +- **Insight**: We already practice progressive disclosure for architecture artifacts, just not for assistant instructions + +**Alignment Opportunity**: Apply same modular principles to CLAUDE.md that we use for architecture documentation. + +#### Recommendations + +1. **Architectural Refactoring**: + - Treat CLAUDE.md as "index" not "encyclopedia" + - Move detailed procedures to agent_docs/ + - Maintain coherence with AGENTS.md (cross-platform core) + - Keep .architecture/ modular structure (no changes needed) + +2. **System Integration**: + - Reference agent_docs/ from CLAUDE.md + - Agent docs can reference .architecture/ when needed + - Maintain clear separation of concerns: + - AGENTS.md: What the framework does (cross-platform) + - CLAUDE.md: How Claude accesses it (Claude-specific) + - agent_docs/: Detailed procedures (universal) + - .architecture/: Architecture artifacts (domain content) + +3. **Version Management**: + - CLAUDE.md version stays aligned with framework version + - agent_docs/ can version independently if needed + - Clear documentation of which versions are compatible + +#### Trade-offs + +**System Coherence Benefits**: +- Clear separation of concerns +- Modular, maintainable structure +- Scales with framework growth +- Aligns with existing architecture patterns + +**System Coherence Costs**: +- More moving parts +- Need clear navigation +- Documentation of documentation needed + +**Recommendation**: Refactor CLAUDE.md to match the modular architecture we already use successfully in .architecture/. This brings system coherence and aligns with article recommendations. + +--- + +### Pragmatic Enforcer - Simplicity & YAGNI + +**Perspective**: As the Pragmatic Enforcer, I evaluate whether these recommendations align with YAGNI principles and whether we're over-engineering our documentation. + +#### Critical Findings + +**1. Documentation Over-Engineering (CRITICAL)** +Our 572-line CLAUDE.md is a classic example of premature optimization: +- **"But what if..."**: We documented every possible request pattern +- **"For completeness..."**: We included comprehensive step-by-step instructions +- **"Just in case..."**: We added examples and edge cases +- **Reality Check**: How often are Setup instructions actually used? Once per project. + +**YAGNI Analysis**: +- Setup procedures: Used once, consume ~100 lines, take ~20 instructions +- Update procedures: Used rarely, consume ~60 lines, take ~10 instructions +- Implementation details: Used sometimes, consume ~170 lines, take ~30 instructions +- **Waste**: ~330 lines (57%) used infrequently but loaded always + +**2. Linter Anti-Pattern (HIGH PRIORITY)** +Article explicitly recommends: "Don't Use Linters" in CLAUDE.md +- Style enforcement should be tool-based, not instruction-based +- We don't currently include linter instructions, but we include extensive style guidance in Implementation section +- **Question**: Do we need methodology instructions in CLAUDE.md, or should configuration files + tool hooks handle this? + +**Pragmatic Challenge**: +```yaml +# Instead of 170 lines of implementation methodology in CLAUDE.md: +implementation: + methodology: "TDD" + influences: + - "Kent Beck" + - "Sandi Metz" + # ... (in .architecture/config.yml) +``` + +Plus a simple hook/slash command that applies these during implementation. + +**3. Manual Curation Value (MEDIUM PRIORITY)** +Article states: "Avoid Auto-Generation" - this is a "highest leverage point" +- **Agreement**: We advocate manual curation +- **But**: Is 572 lines of manual curation better than 60 lines? +- **YAGNI Principle**: Manual curation doesn't mean comprehensive curation + +#### Recommendations + +**Necessity Assessment**: + +| Content | Current Need (0-10) | Future Need (0-10) | Cost of Waiting (0-10) | +|---------|---------------------|--------------------|-----------------------| +| Setup procedures in CLAUDE.md | 1 (once per project) | 1 | 0 (can reference separate doc) | +| Update procedures in CLAUDE.md | 1 (rarely used) | 1 | 0 (can reference separate doc) | +| Implementation methodology details | 4 (sometimes) | 6 | 2 (losing context) | +| Review workflows overview | 8 (frequently) | 9 | 7 (core workflow) | +| Pragmatic mode overview | 6 (when enabled) | 7 | 4 (important feature) | + +**Complexity Assessment**: + +| Content | Added Complexity (0-10) | Maintenance Burden (0-10) | Learning Curve (0-10) | +|---------|-------------------------|---------------------------|-----------------------| +| Current CLAUDE.md | 8 (cognitive overload) | 9 (must maintain all) | 7 (too much to absorb) | +| Proposed structure | 4 (clear separation) | 5 (more files, but scoped) | 5 (need to navigate) | + +**Simpler Alternative**: +```markdown +# CLAUDE.md (60 lines) + +## About This Project +AI Software Architect: Architecture documentation framework for AI coding assistants. + +## Structure +- `.architecture/`: Architecture decisions, reviews, recalibration +- `agent_docs/`: Detailed guidance for AI assistants +- `AGENTS.md`: Cross-platform instructions + +## Key Workflows +- **Architecture Reviews**: See agent_docs/review-workflows.md +- **Create ADRs**: See agent_docs/adr-creation.md +- **Setup Framework**: See agent_docs/setup-guide.md +- **Implementation**: See agent_docs/implementation-guide.md + +## Quick Reference +Members: .architecture/members.yml +Principles: .architecture/principles.md +Config: .architecture/config.yml +``` + +**Recommendation by Section**: +1. **Setup/Update procedures**: DEFER to agent_docs/ (0% need in normal workflow) +2. **Implementation methodology details**: SIMPLIFY to config + pointer (20% current size) +3. **Review workflows**: KEEP but simplify to essentials + pointer (50% current size) +4. **Pragmatic mode**: KEEP but simplify to essentials + pointer (50% current size) + +**Overall Recommendation**: IMPLEMENT NOW +- Clear necessity: Performance and maintainability issues +- Clear benefit: Aligned with LLM capacity and best practices +- Low cost: Refactoring existing content, not creating new +- High value: Affects all AI assistant interactions + +#### Trade-offs + +**Simplification Benefits**: +- Respects LLM instruction capacity +- Faster processing +- Easier to maintain +- Clearer cognitive model +- Aligns with YAGNI and best practices + +**Simplification Costs**: +- Need to navigate to agent_docs/ for details +- More files to manage +- Learning curve for new structure + +**Justification**: The costs are minimal and the benefits are substantial. This is exactly the kind of simplification pragmatic mode advocates for. + +--- + +### Domain Expert - Business Logic & User Needs + +**Perspective**: As a Domain Expert, I evaluate these recommendations against the needs of our actual users: developers setting up and using the AI Software Architect framework. + +#### Critical Findings + +**1. User Journey Mismatch (HIGH PRIORITY)** +Analyzing typical user interactions with CLAUDE.md: + +**Frequency Analysis**: +- **One-time**: Setup framework (once per project) +- **Rare**: Update framework (quarterly or less) +- **Occasional**: Understand implementation methodology (when questions arise) +- **Frequent**: Request architecture reviews (multiple times per project) +- **Frequent**: Create ADRs (multiple times per project) +- **Occasional**: Enable/use pragmatic mode (once, then forget) + +**Current Structure vs. User Needs**: +- CLAUDE.md loads all content for every interaction +- Setup instructions (one-time) consume same attention as reviews (frequent) +- No prioritization based on actual usage patterns +- **Impact**: User needs not aligned with content structure + +**2. Semantic Boundaries (MEDIUM PRIORITY)** +The article's WHAT/WHY/HOW framework reveals our semantic confusion: + +**Current CLAUDE.md mixes**: +- WHAT: Framework structure and capabilities (good) +- WHY: Architectural principles (good) +- HOW: Detailed procedures (too detailed, should reference elsewhere) + +**Optimal Semantic Model**: +``` +CLAUDE.md: + - WHAT: AI Software Architect framework overview + - WHY: Structured architecture documentation + - HOW: Pointer references to detailed guides + +agent_docs/: + - Detailed HOW for specific tasks +``` + +**3. Mental Model Alignment (HIGH PRIORITY)** +Users mental model: "I want to [do task]" +- Current: Read 572 lines to find task guidance +- Optimal: See task in quick reference, follow pointer + +**Domain Language Clarity**: +The article recommends progressive disclosure aligns with how users think: +- "I need to set up the framework" → agent_docs/setup-guide.md +- "I want an architecture review" → agent_docs/review-workflows.md +- "I need to create an ADR" → agent_docs/adr-creation.md + +This matches domain language better than monolithic documentation. + +#### Recommendations + +1. **User-Centric Restructuring**: + ```markdown + # CLAUDE.md - Organized by user journey frequency + + ## Always Relevant (loaded every interaction) + - Project overview (WHAT/WHY) + - Directory structure + - Core principles + + ## Frequently Used (quick reference + pointer) + - Architecture reviews → agent_docs/review-workflows.md + - ADR creation → agent_docs/adr-creation.md + - Pragmatic mode → agent_docs/pragmatic-mode-guide.md + + ## Occasionally Used (pointer only) + - Setup → agent_docs/setup-guide.md + - Update → agent_docs/update-guide.md + - Implementation → agent_docs/implementation-guide.md + ``` + +2. **Domain Language Alignment**: + - Use user's task language in quick reference + - Match file names to user intents + - Provide examples in domain terms (not technical abstractions) + +3. **User Feedback Loop**: + - Track which agent_docs are accessed most + - Identify gaps in quick reference + - Iterate on pointer descriptions for clarity + +#### Trade-offs + +**User-Centric Benefits**: +- Matches how users actually think and work +- Faster task completion +- Less cognitive load +- Better discovery of available features + +**User-Centric Costs**: +- Need to educate users on new structure +- Potential initial confusion +- More files to navigate + +**Recommendation**: Strongly favor user-centric restructuring. The domain model will be clearer and more aligned with actual usage patterns. + +--- + +## Collaborative Discussion + +### Convergent Findings + +All architecture members converge on several critical points: + +**1. UNANIMOUS: File Length Reduction Critical** +- **AI Engineer**: Exceeds LLM instruction capacity +- **Maintainability Expert**: Maintenance burden and comprehension issues +- **Systems Architect**: Violates modular architecture principles +- **Pragmatic Enforcer**: Over-engineering, YAGNI violation +- **Domain Expert**: Doesn't match user needs + +**Consensus**: Reduce CLAUDE.md to < 100 lines, move detailed procedures to agent_docs/ + +**2. UNANIMOUS: Progressive Disclosure Best Practice** +All members recognize benefits of modular documentation: +- Better performance (AI Engineer) +- Better maintainability (Maintainability Expert) +- Better architecture (Systems Architect) +- Simpler (Pragmatic Enforcer) +- User-centric (Domain Expert) + +**Consensus**: Implement agent_docs/ structure immediately + +**3. MAJORITY: Tool-Based Enforcement Over Documentation** +- **AI Engineer**: Saves instruction capacity +- **Pragmatic Enforcer**: Simpler, more reliable +- **Systems Architect**: Better separation of concerns +- **Note**: Maintainability Expert and Domain Expert neutral + +**Consensus**: Move style/methodology enforcement to config files + hooks/slash commands + +### Divergent Perspectives + +**1. Granularity of agent_docs/ Files** +- **Maintainability Expert**: More files = better maintainability +- **Pragmatic Enforcer**: Too many files = over-engineering +- **Resolution**: Balance - one file per major workflow, combined files for related tasks + +**2. Quick Reference Verbosity** +- **Domain Expert**: More context in quick reference for user clarity +- **AI Engineer**: Minimal quick reference to preserve instruction capacity +- **Resolution**: Brief description (1-2 sentences) + pointer, details in agent_docs + +**3. Migration Strategy** +- **Pragmatic Enforcer**: YAGNI - just do it +- **Systems Architect**: Careful migration with version compatibility +- **Resolution**: Immediate refactoring with clear communication and backwards-compatible pointers + +--- + +## Consolidated Recommendations + +### Critical Priority (Implement Immediately) + +**1. Restructure CLAUDE.md to < 100 Lines** +- **Action**: Move 80% of current content to agent_docs/ +- **Retain**: Project overview, quick reference, high-leverage guidance +- **Move**: Setup, update, detailed procedures +- **Timeline**: Single refactoring session +- **Impact**: Dramatic improvement in Claude Code performance + +**2. Create Progressive Disclosure Structure** +- **Action**: Create agent_docs/ directory with modular guides +- **Structure**: + ``` + agent_docs/ + ├── setup-guide.md (setup procedures) + ├── review-workflows.md (architecture reviews) + ├── adr-creation.md (ADR creation) + ├── implementation-guide.md (methodology details) + ├── pragmatic-mode-guide.md (YAGNI enforcement) + └── troubleshooting.md (common issues) + ``` +- **Timeline**: Reorganize existing content +- **Impact**: Better maintainability, clearer user paths + +**3. Document Instruction Capacity Constraints** +- **Action**: Create ADR documenting LLM instruction limits +- **Content**: Research findings, implications for framework +- **Reference**: HumanLayer article, instruction capacity research +- **Timeline**: Immediate +- **Impact**: Informs all future documentation decisions + +### High Priority (Implement Soon) + +**4. Move Style Enforcement to Configuration** +- **Action**: Leverage .architecture/config.yml for implementation methodology +- **Enhancement**: Create slash commands or hooks for enforcement +- **Benefit**: Saves instruction capacity, more reliable enforcement +- **Timeline**: Next enhancement cycle + +**5. Establish Documentation Quality Standards** +- **Action**: Create guidelines for CLAUDE.md and agent_docs/ content +- **Standards**: + - CLAUDE.md < 100 lines + - Each agent_docs file < 200 lines + - Only universally-applicable instructions in CLAUDE.md + - Task-specific guidance in agent_docs/ + - Quarterly review of relevance +- **Timeline**: Document after restructuring + +### Medium Priority (Consider) + +**6. User Feedback Mechanism** +- **Action**: Track which agent_docs are accessed +- **Benefit**: Data-driven documentation improvement +- **Method**: User surveys, usage analytics +- **Timeline**: After restructuring stabilizes + +**7. Cross-Assistant Documentation Review** +- **Action**: Ensure agent_docs/ structure works for Cursor, Copilot +- **Consideration**: Different instruction capacities +- **Timeline**: After CLAUDE.md restructuring complete + +--- + +## Implementation Roadmap + +### Phase 1: Immediate Refactoring (1-2 days) + +1. **Create agent_docs/ Directory Structure** + - Set up directory + - Create placeholder files + +2. **Extract Content from CLAUDE.md** + - Move setup procedures → agent_docs/setup-guide.md + - Move update procedures → agent_docs/update-guide.md + - Move implementation details → agent_docs/implementation-guide.md + - Move review details → agent_docs/review-workflows.md + - Move pragmatic mode details → agent_docs/pragmatic-mode-guide.md + +3. **Rewrite CLAUDE.md as Quick Reference** + - Project overview (WHAT/WHY) + - Directory structure + - Quick reference with pointers + - Target: < 100 lines + +4. **Create ADR for Instruction Capacity** + - Document research findings + - Document restructuring decision + - Reference HumanLayer article + +### Phase 2: Enhancement (1 week) + +5. **Create Enforcement Mechanisms** + - Slash commands for common workflows + - Hooks for style enforcement + - Leverage existing config.yml + +6. **Documentation Quality Standards** + - Document guidelines + - Review existing agent_docs/ against standards + - Refine as needed + +### Phase 3: Validation (Ongoing) + +7. **User Feedback** + - Monitor user experience + - Track agent_docs/ usage + - Iterate on structure + +8. **Cross-Assistant Testing** + - Verify with Cursor + - Verify with Copilot + - Adjust as needed + +--- + +## Success Metrics + +**Performance Metrics**: +- CLAUDE.md line count: Target < 100 (currently 572) +- Estimated instruction count: Target < 30 (currently ~100) +- Content separation: 80% task-specific content moved to agent_docs/ + +**Quality Metrics**: +- Documentation findability: User survey (target > 8/10) +- Task completion time: Measure before/after refactoring +- Maintenance burden: Track documentation update frequency + +**Adoption Metrics**: +- agent_docs/ access frequency +- User feedback on new structure +- Issue reports related to documentation + +--- + +## Conclusion + +The HumanLayer article provides research-backed guidance that reveals critical issues with our current CLAUDE.md structure. All architecture members agree on the need for immediate restructuring: + +**Critical Issues**: +1. File length (572 lines) exceeds LLM instruction capacity +2. Instruction density (~100) at upper boundary of optimal range +3. Task-specific content loaded for every interaction +4. Maintenance burden from monolithic structure + +**Recommended Solution**: +1. Reduce CLAUDE.md to < 100 lines (quick reference) +2. Create agent_docs/ with progressive disclosure +3. Move tool enforcement to configuration + hooks +4. Document instruction capacity constraints in ADR + +**Expected Benefits**: +- Improved Claude Code performance +- Better maintainability +- Clearer user experience +- Alignment with industry best practices + +**Next Steps**: +1. Implement Phase 1 refactoring immediately +2. Create ADR documenting instruction capacity constraints +3. Create ADR documenting progressive disclosure pattern +4. Update documentation to reference new structure + +This restructuring aligns with our existing modular architecture patterns, respects LLM capabilities, and serves our users' actual needs more effectively. diff --git a/.architecture/reviews/comprehensive-review-2026-03-15.md b/.architecture/reviews/comprehensive-review-2026-03-15.md new file mode 100644 index 0000000..a3365e6 --- /dev/null +++ b/.architecture/reviews/comprehensive-review-2026-03-15.md @@ -0,0 +1,318 @@ +# Architecture Review: OPL Repository (Comprehensive) + +**Date**: 2026-03-15 +**Review Type**: Repository +**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, Implementation Strategist, AI Engineer, Pragmatic Enforcer, Python Expert + +## Executive Summary + +The OPL (Our Performance Library) repository serves as a critical toolkit for the Red Hat Cloud Performance team. It provides a vast array of utilities for cluster data collection, load generation, performance testing, and results parsing. The repository is highly functional and actively maintained, as evidenced by recent commits adding new statistical metrics (percentile95) and fixing label creation. + +However, the architecture reflects an organic growth pattern typical of utility scripts evolving into a larger library. While the core `opl/` package exists, the root directory is cluttered with loose scripts, transient data files, and duplicated directories (`core/` vs `opl/`). This fragmentation hinders discoverability, increases onboarding friction, and risks architectural drift. + +**Overall Assessment**: Adequate (with significant room for structural improvement) + +**Key Findings**: +- **Fragmented Project Structure**: The repository lacks a clear boundary between the core reusable library, CLI entry points, and transient testing/research scripts. The root directory is heavily polluted. +- **Strong Utility Value but Low Cohesion**: The individual utilities (e.g., `cluster_read.py`, `status_data.py`, `generators/`) are powerful and well-utilized, but they operate somewhat independently with varying degrees of shared infrastructure. +- **Complex Dependency Surface**: The `setup.py` lists a wide variety of dependencies (boto3, kafka, psycopg2, locust, jinja2) reflecting the broad scope of the toolset, which could make installation heavy for users who only need a subset of features. + +**Critical Actions**: +- **Consolidate Project Layout**: Implement a standard Python project layout (e.g., `src/opl`) and aggressively move or archive root-level scripts and data files. +- **Clarify Core vs. Scripts**: Clearly delineate library code intended for import from CLI scripts intended for execution. + +--- + +## System Overview + +- **Target**: Entire OPL repository +- **Scope**: Comprehensive architectural review of project structure, code organization, and technical debt. +- **Key Technologies**: Python 3.6+, Pytest, Jinja2, Locust, Kafka, AWS SDK. +- **Architecture Style**: Utility Library / Monolithic CLI Toolset +- **Constraints**: Must maintain backwards compatibility for existing CI/CD pipelines and performance testing workflows that rely on the CLI entry points defined in `setup.py`. + +--- + +## Individual Member Reviews + +### Systems Architect - Systems Architect + +**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. + +#### Key Observations +- The system is fundamentally a collection of CLI tools packaged together, heavily driven by the `console_scripts` entry points in `setup.py`. +- There appears to be an aborted or partial attempt to extract a "core" library, evidenced by the `core/` directory containing its own `setup.py` and `venv`. + +#### Strengths +1. **Clear Execution Model**: The reliance on `console_scripts` entry points provides a standard way for users to discover and run the various tools. +2. **Centralized Configuration**: `setup.py` effectively tracks all dependencies and entry points in one place. + +#### Concerns +1. **Structural Ambiguity** (Impact: High) + - **Issue**: The presence of both `opl/` and `core/opl/` creates confusion about where the source of truth lies. Recent commits ("Propagate forgotten changes to core") highlight the danger of this split. + - **Why it matters**: It leads to duplicated effort, fragmented history, and potential for bugs when changes are not synchronized. + - **Recommendation**: Resolve the `core/` vs root repository dichotomy. Either fully extract `core` into a separate repository/submodule or merge it back completely. + +#### Recommendations +1. **Resolve Core Repository Split** (Priority: High, Effort: Medium) + - **What**: Decide on a single source of truth for the codebase. + - **Why**: Eliminates synchronization overhead and confusion. + - **How**: Propose an ADR to merge `core/` back into the main tree or formalize its separation. + +--- + +### Python Expert - Dr. Sarah Chen + +**Perspective**: Advocates for clean, Pythonic solutions following PEP guidelines. + +#### Key Observations +- The repository contains ~50 Python files in the core package and ~200 functions, indicating a moderately sized codebase. +- The root directory contains numerous unmanaged Python scripts (`aaa.py`, `bbb.py`, `test.py`, `test2.py`, etc.). + +#### Strengths +1. **Standard Packaging**: Utilizes `setuptools` which is the established standard for Python packaging. +2. **Linting Configuration**: Presence of `.flake8` indicates an intent to maintain code style standards. + +#### Concerns +1. **PEP 8 and Project Layout Violations** (Impact: High) + - **Issue**: The root directory is extremely cluttered with `.py` files and `.json` data dumps. + - **Why it matters**: It violates standard Python project layouts, makes the repository intimidating to new contributors, and risks accidental commits of sensitive or transient data. + - **Recommendation**: Adopt a `src/` layout (e.g., `src/opl/`) and move all "playground" scripts to a dedicated, explicitly ignored directory. + +#### Recommendations +1. **Implement Standard Python Layout** (Priority: High, Effort: Small) + - **What**: Reorganize the repository to separate source code, tests, and transient scripts. + - **Why**: Improves discoverability and aligns with Python ecosystem expectations. + - **How**: Create `scripts/` or `playground/` for `aaa.py` et al. Add them to `.gitignore`. + +--- + +### Maintainability Expert - Maintainability Expert + +**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. + +#### Key Observations +- Untracked files (`git status` output) show a large number of temporary generator files (`tmp*`) and JSON dumps accumulating in the working directory. +- The `tests/` directory contains 15 files, suggesting reasonable but potentially incomplete coverage for a 50-file library. + +#### Strengths +1. **Automated Testing**: The presence of a `tests/` directory and `.pytest_cache` indicates an active testing culture. + +#### Concerns +1. **Transient File Pollution** (Impact: Medium) + - **Issue**: Data generators and tests appear to be leaving temporary files (`tmp*`) in the source tree instead of using the OS temp directory or a dedicated `build/` or `out/` folder. + - **Why it matters**: Clutters the git status, risks accidental commits, and makes local development messy. + - **Recommendation**: Update file generation logic to use Python's `tempfile` module or write to an explicitly git-ignored output directory. + +#### Recommendations +1. **Clean Up Temporary File Handling** (Priority: Medium, Effort: Small) + - **What**: Ensure all generators and tests clean up after themselves or write to `/tmp`. + - **Why**: Keeps the working directory clean. + - **How**: Refactor file I/O in `opl/generators/` to use `tempfile.TemporaryDirectory`. + +--- + +### Performance Specialist - Performance Specialist + +**Perspective**: Focuses on performance implications of architectural decisions and suggests optimizations. + +#### Key Observations +- The library is designed to handle performance data, including parsing large logs and generating significant load. +- Dependencies include `numpy` and `locust`, which are appropriate choices for performance-focused tooling. + +#### Strengths +1. **Appropriate Tooling**: Leveraging `numpy` for data stats (like the recently added percentile95) is exactly the right architectural choice for performance data processing. + +#### Concerns +1. **Monolithic Dependency Tree** (Impact: Low) + - **Issue**: `setup.py` requires all dependencies (boto3, psycopg2, locust) even if a user only wants to use a specific offline script (like `junit_cli.py`). + - **Why it matters**: Increases installation time and surface area for conflicts. + - **Recommendation**: Consider using `extras_require` for heavy dependencies (e.g., `pip install opl[aws]`). + +#### Recommendations +1. **Modularize Dependencies** (Priority: Low, Effort: Medium) + - **What**: Move domain-specific heavy dependencies to optional extras. + - **Why**: Speeds up installation for CI jobs that only need a subset of the tools. + - **How**: Update `setup.py` `install_requires` and `extras_require`. + +--- + +### Pragmatic Enforcer - Pragmatic Enforcer + +**Perspective**: Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach. + +#### Key Observations +- The repository seems to have grown organically by adding scripts as needed, which is very pragmatic. +- However, the attempted split into a `core/` repository seems like an architectural overreach that wasn't fully committed to. + +#### Strengths +1. **Highly Functional**: The tools clearly solve immediate problems for the performance team without unnecessary abstract layers. + +#### Concerns +1. **Over-engineered Repository Split** (Impact: Medium) + - **Issue**: The `core/` directory attempts to create a boundary that the team is failing to maintain (requiring manual sync commits). + - **Why it matters**: It adds overhead without providing clear value. + - **Recommendation**: YAGNI - You aren't going to need a separate core repository if you can't maintain it. Merge it back and rely on Python module namespaces (`opl.core` if necessary) within a single repository. + +#### Recommendations +1. **Eliminate `core/` Directory** (Priority: High, Effort: Small) + - **What**: Remove the separate `core/` setup and integrate its unique changes into the main `opl/` package. + - **Why**: Simplifies the mental model of the repository. + +--- + +## Collaborative Discussion + +**[Systems Architect]**: "The most glaring issue is the structural fragmentation. We have scripts in the root, we have a `core/` directory duplicating effort, and we have the actual `opl/` package. We need a single source of truth." + +**[Python Expert]**: "I agree entirely. A standard Python layout would solve half of our discoverability problems immediately. The current state violates basic PEP 8 project structure conventions." + +**[Pragmatic Enforcer]**: "The `core/` directory is a prime example of failed complexity. We tried to extract a core, found it too hard to maintain across boundaries, and now we are manually syncing changes. We should just merge it back. It's the simplest thing that works." + +**[Maintainability Expert]**: "While we are moving things, we absolutely must address the temporary file spillage. `git status` should be clean after a test run. The generators dropping `tmp*` files into the source tree is unacceptable technical debt." + +**[Performance Specialist]**: "From a performance and usage perspective, the monolithic `setup.py` is okay for now, but as the tool grows, downloading `psycopg2` just to run a local log parser is wasteful. We should keep modular dependencies in mind as a nice-to-have." + +### Common Ground +The team unanimously agrees that repository structure cleanup is the highest priority. The current state is organic but messy, leading to confusion and potential errors (like missed syncs to `core/`). + +### Priorities Established + +**Critical (Address Immediately)**: +1. Resolve the `core/` vs root repository dichotomy (merge back or officially split). +2. Clean up the root directory (move scripts, ignore data files). + +**Important (Address Soon)**: +1. Fix generator logic to use proper temporary directories to stop polluting the working tree. + +**Nice-to-Have (Consider Later)**: +1. Refactor `setup.py` to use `extras_require` for domain-specific dependencies (AWS, DB). + +--- + +## Consolidated Findings + +### Strengths + +1. **Functional Utility Set**: The repository contains highly useful, battle-tested scripts for performance engineering. +2. **Clear CLI Entry Points**: `setup.py` `console_scripts` provide a unified interface for a diverse set of tools. +3. **Appropriate Library Choices**: Use of `numpy` for stats and `locust` for load generation shows good architectural alignment with the domain. + +### Areas for Improvement + +1. **Repository Layout**: + - **Current state**: Cluttered root directory, duplicate `core/` structure. + - **Desired state**: Clean root, standard `src/` layout, single source of truth. + - **Gap**: Missing structural discipline. + - **Priority**: High + - **Impact**: Reduces cognitive load for new developers and prevents sync errors. + +2. **Temporary File Management**: + - **Current state**: Generators and tests leave `tmp*` and `.json` files in the source tree. + - **Desired state**: Working directory remains clean after execution. + - **Gap**: Missing use of standard Python `tempfile` handling. + - **Priority**: Medium + - **Impact**: Improves developer experience and prevents accidental data commits. + +### Technical Debt + +**High Priority**: +- **Duplicated `core/` Logic**: + - **Impact**: Causes merge conflicts, requires manual synchronization, risks bugs. + - **Resolution**: Merge `core/` back into main `opl/` or formally decouple it. + - **Effort**: Small + - **Recommended Timeline**: Immediately. + +**Medium Priority**: +- **Root Script Clutter**: + - **Impact**: Makes the codebase hard to navigate. + - **Resolution**: Move to a `scripts/` directory. + - **Effort**: Small + - **Recommended Timeline**: Next 2 weeks. + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **Create ADR to Resolve `core/` Directory** + - **Why**: Establish a clear decision on the repository's single source of truth. + - **How**: Use the architecture framework to draft an ADR proposing the removal of the duplicated `core/` structure in favor of a unified `opl` package. + - **Owner**: Systems Architect + - **Success Criteria**: ADR merged and accepted by the team. + - **Estimated Effort**: 1 hour. + +2. **Root Directory Cleanup** + - **Why**: Improve discoverability and adhere to Python standards. + - **How**: Create a `playground/` or `scripts/` directory. Move `aaa.py`, `bbb.py`, etc. Update `.gitignore` to explicitly ignore transient `.json` dumps and the playground directory. + - **Owner**: Any developer + - **Success Criteria**: Root directory contains only configuration files (`setup.py`, `README.md`, etc.) and the main package folder. + - **Estimated Effort**: 2 hours. + +### Short-term (2-8 weeks) + +1. **Fix Temporary File Handling** + - **Why**: Stop polluting the git working tree. + - **How**: Audit `opl/generators/` and `tests/` to replace hardcoded temporary file creation with Python's `tempfile` module. + - **Owner**: Any developer + - **Success Criteria**: Running the full test suite and standard generators leaves `git status` clean. + - **Estimated Effort**: 1-2 days. + +### Long-term (2-6 months) + +1. **Modularize Dependencies via `extras_require`** + - **Why**: Reduce installation payload for users who only need specific subsets of the OPL toolkit. + - **How**: Refactor `setup.py` to group dependencies (e.g., `opl[aws]`, `opl[db]`, `opl[load]`). + - **Owner**: Systems Architect / Python Expert + - **Success Criteria**: Base installation `pip install .` installs minimal dependencies required for core functionality. + - **Estimated Effort**: 3 days (requires auditing imports). + +--- + +## Success Metrics + +1. **Repository Cleanliness**: + - **Current**: >20 unmanaged files/scripts in root. + - **Target**: 0 unmanaged scripts in root. + - **Timeline**: 2 weeks. + - **Measurement**: `ls *.py` in root returns only `setup.py`. + +2. **Git Status Purity**: + - **Current**: Many untracked `tmp*` files after execution. + - **Target**: 0 untracked files generated during standard test/run. + - **Timeline**: 1 month. + - **Measurement**: `git status` is clean after running `pytest`. + +--- + +## Follow-up + +**Next Review**: 2026-06-15 + +**Tracking**: +- Create GitHub issues for immediate actions (Core resolution, Root cleanup). + +**Recalibration**: +After implementing the root cleanup: +``` +"Start architecture recalibration for OPL project structure" +``` + +--- + +## Appendix + +### Review Methodology + +This review was conducted using the AI Software Architect framework with the following team members: +- **Systems Architect**: Overall system coherence and patterns +- **Python Expert**: Language specific best practices and packaging +- **Maintainability Expert**: Code quality and technical debt +- **Performance Specialist**: Performance and scalability +- **Pragmatic Enforcer**: Challenging complexity and YAGNI + +**Pragmatic Mode**: Balanced +- All recommendations evaluated through YAGNI lens, specifically regarding the over-complicated `core/` repository split. + +**Review Complete** \ No newline at end of file diff --git a/.architecture/reviews/example-pragmatic-api-feature.md b/.architecture/reviews/example-pragmatic-api-feature.md new file mode 100644 index 0000000..7b24d60 --- /dev/null +++ b/.architecture/reviews/example-pragmatic-api-feature.md @@ -0,0 +1,336 @@ +# Architectural Review: API Authentication Feature + +## Overview + +This document contains the architectural review for the new API authentication feature, conducted with **Pragmatic Guard Mode enabled** to demonstrate YAGNI enforcement. + +## Review Details + +- **Feature Reviewed**: API Authentication System +- **Review Date**: 2025-11-05 +- **Pragmatic Mode**: **Enabled** (Balanced intensity) +- **Review Team**: Systems Architect, Security Specialist, Pragmatic Enforcer + +## Executive Summary + +The team reviewed the proposed API authentication system. The Security Specialist recommended a comprehensive authentication solution with multiple providers. The Pragmatic Enforcer challenged the scope, resulting in a phased approach that delivers core functionality faster while deferring speculative features. + +**Outcome**: Implement simplified Phase 1 (JWT only) now, defer OAuth2/SAML until confirmed need. + +**Key Decision**: Build for today's requirements, not imagined future scenarios. + +--- + +## Individual Perspectives + +### Systems Architect Review + +**Reviewer**: Systems Architect + +**Strengths**: +- Clear requirement for API authentication +- API endpoints well-defined +- Good foundation for security + +**Weaknesses**: +- No authentication currently blocks partner integrations +- API keys alone insufficient for user-context operations + +**Recommendations**: +- Implement robust authentication system +- Support multiple authentication methods +- Plan for scale from the start + +### Security Specialist Review + +**Reviewer**: Security Specialist + +**Strengths**: +- Team recognizes security importance +- HTTPS enforcement in place + +**Weaknesses**: +- Current API has no authentication +- Vulnerable to abuse and unauthorized access + +**Recommendations**: +1. **Implement comprehensive authentication middleware** with support for: + - JWT for API access tokens + - OAuth2 for third-party integrations + - SAML for enterprise SSO + - API keys for service-to-service +2. **Add refresh token mechanism** with rotation +3. **Implement rate limiting** per authentication method +4. **Add device fingerprinting** for suspicious activity detection +5. **Support 2FA** for high-value operations + +**Justification**: "Defense in depth requires supporting multiple authentication methods. Enterprise customers will require SAML, partners may need OAuth2, and service integrations need API keys." + +### Pragmatic Enforcer Review + +**Reviewer**: Pragmatic Enforcer +**Mode**: Balanced + +**Overall Simplicity Assessment**: +The Security Specialist's recommendations are comprehensive and represent security best practices. However, we need to challenge whether all features are needed RIGHT NOW vs being built speculatively for possible future needs. + +**Strengths**: +- Core security is prioritized (JWT, HTTPS) +- Security Specialist correctly identifies current vulnerability +- Recommendations are technically sound + +**Concerns**: +- Multiple authentication methods when we only need one currently +- Features built for "enterprise customers" we don't have yet +- Significant complexity being added for speculative needs + +**Challenges to Recommendations**: + +#### Challenge to Security Specialist Recommendation #1 + +**Original Recommendation**: "Implement comprehensive authentication middleware with support for JWT, OAuth2, SAML, and API keys" + +**Necessity Assessment**: 4/10 +- **Current need**: + - JWT: YES (10/10) - Required for API access now + - OAuth2: NO (2/10) - No partners requesting this + - SAML: NO (1/10) - No enterprise customers yet + - API keys: UNCERTAIN (5/10) - May need for webhooks + +- **Future need**: + - OAuth2: Possible if we get partner integrations (no timeline) + - SAML: Likely if we pursue enterprise (6+ months out) + - API keys: May need for service integrations (3 months) + +- **Cost of waiting**: + - LOW - Can add additional auth methods when customers materialize + - Adding JWT → OAuth2 later: ~3 days refactoring + - Building all now but not using: ongoing complexity cost + +**Complexity Assessment**: 8/10 +- **Added complexity**: + - Provider abstraction layer + - Configuration for each provider + - Testing matrix across all methods + - Documentation for methods we don't use + +- **Maintenance burden**: + - HIGH - Must maintain OAuth2/SAML code even if unused + - Must update dependencies for all providers + - Must test all flows regularly + +- **Learning curve**: + - MEDIUM - New developers must understand full abstraction + - More concepts to learn vs single straightforward implementation + +**Simpler Alternative**: + +**Phase 1** (Implement Now - 2-3 days): +``` +- JWT-based authentication +- Access tokens with appropriate expiration (24h) +- Bearer token auth in headers +- Role-based access control (admin/user) +- Basic rate limiting (prevent brute force) +``` + +This solves the immediate problem: "Secure our API." + +**Phase 2** (Defer Until Triggered): +- OAuth2 → When first partner requests it OR when we pursue partner integrations +- SAML → When first enterprise customer requires it +- API keys → When webhook integrations need them +- Refresh tokens → When 24h expiration causes UX issues + +**Recommendation**: ⚠️ **Implement Simplified Phase 1** + +**Justification**: +We have ZERO customers requesting OAuth2 or SAML. The Security Specialist is correct that enterprises "will require" SAML, but we don't have enterprise customers yet and don't know when we will. Building for these imagined customers adds significant complexity now for uncertain future value. + +The cost of adding OAuth2/SAML later (3-5 days) is less than the cost of maintaining unused code for months (ongoing cognitive overhead, testing, documentation). + +**Security note**: This does NOT compromise security. Phase 1 JWT implementation is secure and production-ready. We're deferring *additional authentication METHODS*, not security controls. + +--- + +#### Challenge to Security Specialist Recommendation #2 + +**Original Recommendation**: "Add refresh token mechanism with rotation" + +**Necessity Assessment**: 3/10 +- **Current need**: LOW - 24h token expiration is acceptable for MVP +- **Future need**: LIKELY - Will improve UX as usage grows +- **Cost of waiting**: LOW - Can add when users complain about re-login + +**Complexity Assessment**: 6/10 +- **Added complexity**: Refresh endpoint, token family tracking, rotation logic +- **Maintenance burden**: More database operations, more edge cases +- **Learning curve**: Additional auth concept to understand + +**Simpler Alternative**: +Start with 24h access tokens. Add refresh tokens when: +- Users report frequent re-login annoyance +- We have actual usage data showing token duration is problematic +- We're ready to invest in the full refresh flow + +**Recommendation**: ⏸️ **Defer Until Needed** + +**Justification**: Refresh tokens add complexity. Let's validate that 24h expiration is insufficient before building the refresh mechanism. This can be added in ~2 days when proven necessary. + +--- + +#### Challenge to Security Specialist Recommendation #4 + +**Original Recommendation**: "Add device fingerprinting for suspicious activity detection" + +**Necessity Assessment**: 2/10 +- **Current need**: VERY LOW - No users, no activity to detect +- **Future need**: POSSIBLE - May be useful if abuse patterns emerge +- **Cost of waiting**: ZERO - Can add when we see abuse + +**Complexity Assessment**: 7/10 +- **Added complexity**: Fingerprinting library, storage, detection logic +- **Maintenance burden**: Privacy implications, GDPR considerations +- **Learning curve**: New security concept to implement correctly + +**Recommendation**: ❌ **Skip for Now** + +**Justification**: This is premature optimization for a security threat we haven't observed. Add device fingerprinting IF we see suspicious activity patterns. The API isn't even launched yet. + +--- + +**Summary Recommendations**: + +1. ✅ **Implement JWT authentication** (Phase 1) - Necessary now +2. ⏸️ **Defer OAuth2** - Add when partner requests it +3. ⏸️ **Defer SAML** - Add when enterprise customer needs it +4. ⏸️ **Defer refresh tokens** - Add when UX requires it +5. ⏸️ **Defer device fingerprinting** - Add if abuse detected +6. ✅ **Implement rate limiting** - Essential security control + +**Deferred Decisions** (tracked in `.architecture/deferrals.md`): + +- **OAuth2 authentication** → Trigger: First partner integration confirmed OR 3 partner requests +- **SAML authentication** → Trigger: First enterprise customer requiring SSO +- **Refresh token mechanism** → Trigger: User complaints about re-login OR usage data showing issue +- **Device fingerprinting** → Trigger: Detected abuse patterns OR suspicious activity +- **2FA support** → Trigger: High-value operations identified OR customer requirement + +--- + +## Collaborative Analysis + +This section reflects the consensus reached after discussion between Security Specialist and Pragmatic Enforcer. + +### Discussion Highlights + +**Security Specialist**: +"I understand the pragmatic concerns, but we should build security right from the start. Adding authentication methods later requires refactoring." + +**Pragmatic Enforcer**: +"Agreed we should build security right. But 'right' means 'appropriate for our current needs,' not 'comprehensive for all possible futures.' JWT is secure. We're not compromising security by deferring OAuth2 and SAML - we're deferring features we don't need yet. The refactoring cost (~3 days) is less than the maintenance cost of unused code." + +**Security Specialist**: +"What if we get an enterprise customer next month who needs SAML?" + +**Pragmatic Enforcer**: +"Then we spend 3 days adding SAML. But if we DON'T get that customer for 6 months, we've maintained unused SAML code for 6 months. Which scenario is more likely? And even if we get that customer, 3 days to add SAML is reasonable delivery time." + +**Systems Architect**: +"The pragmatic approach makes sense. We can design the JWT implementation to make adding other methods easier, without actually building them now." + +### Consolidated Decision + +**Phase 1 (Implement Now - Week 1)**: +- JWT authentication with bearer tokens +- Role-based access control +- Basic rate limiting +- Secure defaults (HTTPS only, httpOnly cookies if used) +- Clear documentation + +**Estimated effort**: 2-3 days +**Estimated LOC**: ~200 lines + +**Phase 2 (Deferred - Add When Triggered)**: +- Additional authentication methods (OAuth2, SAML, API keys) +- Refresh token mechanism +- Advanced security features (device fingerprinting, 2FA) + +**Estimated effort**: 3-5 days (when needed) +**Savings**: ~3-5 days upfront, ongoing maintenance burden avoided + +### Risk Mitigation + +**Risk**: Enterprise customer appears and needs SAML immediately +**Mitigation**: +- Document SAML as deferred decision with 3-day implementation estimate +- During enterprise sales conversations, ask about timeline for auth requirements +- Can expedite if needed (still faster than maintaining unused code) + +**Risk**: Refactoring JWT to support multiple providers is harder than expected +**Mitigation**: +- Design JWT implementation with provider pattern in mind (don't over-couple) +- Add interface/abstraction when adding SECOND provider (informed by two real examples) +- Cost is still lower than premature abstraction + +## Conclusion + +This review demonstrates pragmatic mode in action. The Security Specialist's recommendations were technically sound but included significant speculative features. The Pragmatic Enforcer successfully challenged unnecessary complexity while maintaining essential security. + +**Result**: +- Deliver working API authentication in 2-3 days vs 1 week +- Reduce initial complexity by ~70% +- Defer features until proven necessary +- Maintain production-ready security +- Save ~3-5 days of development time upfront +- Avoid ongoing maintenance burden of unused features + +**Key Lesson**: "Implement what you need now, not what you might need someday." + +--- + +## Appendices + +### A. Comparison: With vs Without Pragmatic Mode + +**Without Pragmatic Mode** (Original proposal): +- Duration: 5-7 days +- Features: JWT + OAuth2 + SAML + refresh tokens + device fingerprinting + 2FA +- Lines of code: ~800 +- Tested auth methods: 4 +- Maintenance burden: High + +**With Pragmatic Mode** (Phase 1): +- Duration: 2-3 days +- Features: JWT + rate limiting +- Lines of code: ~200 +- Tested auth methods: 1 +- Maintenance burden: Low +- Time saved: 3-4 days +- Complexity reduced: 75% + +### B. Deferred Features Tracking + +All deferred decisions recorded in `.architecture/deferrals.md` with: +- Clear trigger conditions +- Estimated implementation effort +- Rationale for deferral +- Review schedule + +### C. Security Validation + +Phase 1 meets security requirements: +- ✅ Authentication required for all API endpoints +- ✅ Secure token generation and validation +- ✅ HTTPS enforcement +- ✅ Rate limiting to prevent abuse +- ✅ Role-based access control +- ✅ Secure defaults throughout + +Phase 1 is production-ready and secure. Additional authentication methods are feature additions, not security fixes. + +--- + +**Review Completed**: 2025-11-05 +**Pragmatic Mode**: Saved 3-4 days of development time while maintaining security and quality +**Next Action**: Implement Phase 1 JWT authentication diff --git a/.architecture/reviews/feature-claude-skills-implementation.md b/.architecture/reviews/feature-claude-skills-implementation.md new file mode 100644 index 0000000..47cb17c --- /dev/null +++ b/.architecture/reviews/feature-claude-skills-implementation.md @@ -0,0 +1,548 @@ +# Architecture Review: Claude Skills Implementation + +**Date**: 2025-11-12 +**Review Type**: Feature +**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer + +## Executive Summary + +The Claude Skills implementation represents a significant enhancement to the AI Software Architect framework, providing a streamlined, portable alternative to both MCP server and traditional CLAUDE.md approaches. The implementation introduces seven well-structured skills that enable Claude Code to autonomously detect and execute architectural workflows. + +**Overall Assessment**: Strong + +**Key Findings**: +- All seven SKILL.md files fully comply with Claude Code Skills documentation requirements +- Skills are comprehensive, well-documented, and follow consistent patterns +- Implementation significantly reduces setup complexity compared to MCP approach +- Documentation (USAGE-WITH-CLAUDE-SKILLS.md) is thorough and user-friendly +- Skills maintain compatibility with existing framework structure +- Pragmatic Mode (YAGNI Enforcement) provides unique capability not available in MCP + +**Critical Actions**: +- Consider adding `allowed-tools` restrictions for read-only operations (architecture-status, list-members) +- Add error handling for malformed YAML in members.yml and config.yml +- Consider splitting larger skills into sub-skills for better modularity + +## System Overview + +This feature adds seven Claude Skills to the framework: + +1. **setup-architect** (.claude/skills/setup-architect/SKILL.md) - Framework installation and customization +2. **create-adr** (.claude/skills/create-adr/SKILL.md) - ADR creation workflow +3. **architecture-review** (.claude/skills/architecture-review/SKILL.md) - Comprehensive multi-perspective reviews +4. **specialist-review** (.claude/skills/specialist-review/SKILL.md) - Focused expert reviews +5. **list-members** (.claude/skills/list-members/SKILL.md) - Team roster display +6. **architecture-status** (.claude/skills/architecture-status/SKILL.md) - Documentation health status +7. **pragmatic-guard** (.claude/skills/pragmatic-guard/SKILL.md) - Pragmatic Mode (YAGNI Enforcement) + +Supporting documentation: +- **USAGE-WITH-CLAUDE-SKILLS.md** - Comprehensive usage guide +- **README.md** - Updated with Skills as recommended approach + +## Individual Member Reviews + +### Systems Architect + +**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. + +#### Key Observations +- Skills architecture follows a clear separation of concerns with each skill handling a distinct workflow +- All skills share common patterns (frontmatter, process steps, error handling, reporting) +- Skills integrate seamlessly with existing .architecture/ directory structure +- New installation method (Skills) provides third option alongside MCP and traditional approaches + +#### Strengths +1. **Architectural Consistency**: All seven skills follow identical structural patterns (YAML frontmatter → Process → Notes), making the system predictable and maintainable +2. **Loose Coupling**: Skills don't depend on each other; they can be used independently or in combination +3. **Clear Boundaries**: Each skill has well-defined responsibilities without overlap +4. **Extensibility**: Architecture supports easy addition of new skills following the same pattern +5. **YAGNI Enforcement**: pragmatic-guard provides unique over-engineering prevention capability + +#### Concerns +1. **Tight Coupling to Directory Structure** (Impact: Medium) + - Issue: All skills assume `.architecture/` exists with specific subdirectories + - Recommendation: Add more robust directory structure validation and creation in each skill +2. **No Versioning Strategy** (Impact: Low) + - Issue: No version markers in SKILL.md files; users can't tell which version they have installed + - Recommendation: Consider adding version in frontmatter or filename convention + +#### Recommendations +1. **Add Skills Discovery Mechanism** (Priority: Low, Effort: Small) + - Create a skill that lists available skills and their purposes + - Helps users discover capabilities +2. **Consider Skill Composition** (Priority: Low, Effort: Medium) + - For complex workflows, allow skills to reference or chain to others + - Example: architecture-review could optionally trigger recalibration setup + +### Domain Expert + +**Perspective**: Evaluates how well the architecture represents and serves the problem domain and business concepts. + +#### Key Observations +- Skills accurately model the architectural documentation workflow domain +- Terminology is consistent with architecture profession standards (ADR, review, recalibration) +- User-facing language in descriptions matches how users naturally phrase requests +- Skills bridge the gap between conversational requests and structured documentation + +#### Strengths +1. **Domain Language Alignment**: Skill names and descriptions use terminology from both software architecture (ADR, architecture review) and natural conversation ("Ask specialist", "What's our status?") +2. **Workflow Fidelity**: Skills accurately represent actual architectural practice workflows +3. **Ubiquitous Language**: Consistent use of terms like "member", "specialist", "perspective", "review" across all skills +4. **User Mental Model**: Skills match how architects think about their work (document decisions, conduct reviews, check status) + +#### Concerns +1. **Terminology: "Architect" vs "Architecture"** (Impact: Low) + - Issue: Skill named "setup-architect" but description says "Sets up the AI Software Architect framework" + - Recommendation: Clarify whether "architect" refers to the tool/framework or the role; consider "setup-architecture-framework" for clarity +2. **Missing Domain Concepts** (Impact: Low) + - Issue: No skill for "architecture roadmap" or "technical debt tracking" which are common domain activities + - Recommendation: Consider additional skills for these common architectural activities + +#### Recommendations +1. **Add Glossary Skill** (Priority: Low, Effort: Small) + - Skill to explain framework terminology and concepts + - Helps onboard new users to the domain language +2. **Validate Domain Workflows** (Priority: Medium, Effort: Small) + - Get feedback from practicing architects on whether workflows match reality + - Ensure skills support actual architectural practice patterns + +### Security Specialist + +**Perspective**: Reviews the architecture from a security-first perspective, identifying potential vulnerabilities and security implications. + +#### Key Observations +- Skills involve file system operations (read, write, create directories) +- No explicit security controls or validation in skill definitions +- Skills trust file paths and content without sanitization mentions +- Skills assume benign user input in trigger phrases + +#### Strengths +1. **Read-Only Skills**: list-members and architecture-status are primarily read-only, limiting security exposure +2. **No External Dependencies**: Skills don't make network calls or execute arbitrary code +3. **Transparent Operations**: All file operations are explicit in skill process descriptions +4. **Local Scope**: All operations are within project directory, no system-wide changes (except personal skills installation) + +#### Concerns +1. **No Input Validation Specified** (Impact: Medium) + - Issue: Skills accept user input (e.g., version numbers, feature names) without validation guidance + - Recommendation: Add input validation steps to prevent path traversal or injection in filenames + - Example: create-adr converts user title to filename without sanitization guidance +2. **File System Permission Issues** (Impact: Low) + - Issue: No guidance on handling permission errors when reading/writing files + - Recommendation: Add error handling for permission denied scenarios +3. **Missing Tool Restrictions** (Impact: Low) + - Issue: Skills don't use `allowed-tools` to restrict capabilities + - Recommendation: Add `allowed-tools: [Read, Glob]` to read-only skills (list-members, architecture-status) +4. **Git Operation Risks** (Impact: Medium) + - Issue: setup-architect includes `rm -rf .architecture/.git/` which is destructive + - Recommendation: Add safeguards to ensure this only removes the correct .git directory + +#### Recommendations +1. **Add Input Sanitization Guidelines** (Priority: High, Effort: Small) + - Document expected input formats and validation + - Add examples of safe filename generation from user input +2. **Implement allowed-tools Restrictions** (Priority: Medium, Effort: Small) + - Restrict read-only skills to Read, Glob, Grep tools only + - Prevents accidental modifications during status checks +3. **Add Security Review Checkpoint** (Priority: Low, Effort: Small) + - When setup-architect runs, verify it's in correct directory before rm -rf + - Check that .architecture/.git exists and is empty/template before deletion + +### Maintainability Expert + +**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. + +#### Key Observations +- Skills range from 97 to 205 lines, averaging ~154 lines per skill +- All skills follow identical structure, making them easy to understand +- Extensive inline documentation and examples within each skill +- Skills are self-contained with no external dependencies + +#### Strengths +1. **Structural Consistency**: All skills use same format (frontmatter → overview → process → notes), dramatically reducing cognitive load +2. **Comprehensive Documentation**: Each skill includes error handling, examples, and usage notes +3. **Template-Driven**: Skills reference templates in .architecture/templates/, promoting consistency +4. **Clear Process Steps**: Numbered steps in each skill make workflows easy to follow and debug +5. **Examples Throughout**: Most skills include markdown examples of expected output + +#### Concerns +1. **Skill Size** (Impact: Medium) + - Issue: Larger skills (architecture-review: 170 lines, architecture-status: 205 lines) may be difficult to modify + - Recommendation: Consider extracting common patterns into referenced templates or sub-processes +2. **Code Duplication** (Impact: Low) + - Issue: Similar patterns repeated across skills (error handling, file loading, reporting format) + - Recommendation: Document common patterns in a shared reference that skills can point to +3. **Version Synchronization** (Impact: Medium) + - Issue: Skills reference specific file structures that may evolve; no mechanism to detect version mismatches + - Recommendation: Add framework version check in skills that verifies .architecture/ is compatible + +#### Recommendations +1. **Extract Common Patterns** (Priority: Medium, Effort: Medium) + - Create .claude/skills/_patterns.md with common workflows + - Reference from individual skills to reduce duplication +2. **Add Skill Testing Guide** (Priority: Low, Effort: Small) + - Document how to test skills work correctly + - Include test scenarios for each skill +3. **Version Compatibility Check** (Priority: High, Effort: Small) + - Add version check step to skills that validates .architecture/ structure + - Helps users detect when they need to update framework or skills + +### Performance Specialist + +**Perspective**: Focuses on performance implications of architectural decisions and suggests optimizations. + +#### Key Observations +- Skills trigger file system operations (reads, writes, directory traversals) +- architecture-status and list-members scan directories to gather information +- Skills are synchronous; Claude waits for skill completion +- No explicit caching or optimization strategies mentioned + +#### Strengths +1. **Efficient Read Patterns**: Skills read specific files rather than scanning entire directories unnecessarily +2. **Targeted File Operations**: Skills only access files they need (members.yml, config.yml, specific ADRs) +3. **No Redundant Processing**: Each skill focuses on its specific task without doing extra work +4. **Lazy Evaluation**: Skills only load what's necessary (e.g., pragmatic_enforcer only loaded if enabled) + +#### Concerns +1. **Repeated File Reads** (Impact: Low) + - Issue: Multiple skills read same files (members.yml read by multiple skills) + - Recommendation: Not a major concern given typical usage patterns, but could cache in long sessions +2. **Directory Scanning in architecture-status** (Impact: Low) + - Issue: Scans multiple directories (adrs/, reviews/, recalibration/, comparisons/) + - Recommendation: Fine for typical project sizes, but could be slow for projects with hundreds of ADRs +3. **Large Skill Files Loaded Into Context** (Impact: Low) + - Issue: Skills average 154 lines, all loaded into context when invoked + - Recommendation: Current size is acceptable; keep skills under 250 lines + +#### Recommendations +1. **Add Performance Notes** (Priority: Low, Effort: Small) + - Document expected performance characteristics + - Note that architecture-status may be slower for large projects +2. **Consider Incremental Status** (Priority: Low, Effort: Medium) + - For architecture-status, add option for "quick status" vs "full analysis" + - Quick: just counts; Full: includes content analysis +3. **Optimize architecture-review for Large Projects** (Priority: Low, Effort: Medium) + - For projects with many files, provide guidance on scoping reviews to specific areas + - Avoid scanning entire codebase for feature-specific reviews + +### AI Engineer + +**Perspective**: Evaluates the architecture from an AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. + +#### Key Observations +- Skills are prompt-based guidance for Claude Code, not programmatic tools +- Skill descriptions are training data for Claude's skill-selection model +- Skills provide structured prompts that guide Claude's behavior +- Implementation leverages Claude's natural language understanding rather than rigid APIs + +#### Strengths +1. **Excellent Prompt Engineering**: Skill descriptions include trigger phrases that match user intent ("Start architecture review", "Ask specialist to review") +2. **Clear Agent Guidance**: Skills provide step-by-step instructions that guide Claude's reasoning +3. **Contextual Adaptation**: Skills allow Claude to adapt based on project context (language detection in setup-architect) +4. **Human-AI Collaboration**: Skills structure collaboration between architect and AI assistant +5. **Multi-Turn Workflows**: Skills support extended interactions (e.g., asking for clarification) + +#### Concerns +1. **Skill Selection Ambiguity** (Impact: Low) + - Issue: Some trigger phrases could match multiple skills + - Example: "Review the architecture" could trigger architecture-review or specialist-review + - Recommendation: Differentiate trigger phrases more clearly in descriptions +2. **No Skill Chaining Guidance** (Impact: Low) + - Issue: Skills don't guide Claude on when to invoke related skills + - Example: After architecture-review, Claude might not suggest recalibration + - Recommendation: Add "Next Steps" sections that suggest related skills +3. **Missing Observability** (Impact: Medium) + - Issue: No guidance on logging skill invocations or tracking outcomes + - Recommendation: Add optional skill invocation logging to track usage patterns +4. **Prompt Injection Risk** (Impact: Low) + - Issue: User input in trigger phrases becomes part of skill context + - Recommendation: Skills should include prompt injection awareness in their guidance + +#### Recommendations +1. **Add Skill Relationship Map** (Priority: Medium, Effort: Small) + - Document which skills commonly follow each other + - Help Claude suggest next logical steps +2. **Implement Usage Analytics** (Priority: Low, Effort: Medium) + - Add optional skill usage logging to understand which skills are most valuable + - Track success/failure patterns +3. **Improve Skill Descriptions for Better Matching** (Priority: High, Effort: Small) + - Make trigger phrases more specific and distinctive + - Add negative examples ("Don't use when...") +4. **Add Skill Composition Examples** (Priority: Low, Effort: Small) + - Document example workflows that chain multiple skills + - Show how skills work together in practice + +## Collaborative Discussion + +**Common Themes Across Perspectives:** + +All reviewers noted the strong structural consistency and clear separation of concerns. The skills are well-aligned with both the technical requirements (Claude Code Skills spec) and domain needs (architectural practice). + +**Security & Maintainability Intersection:** + +Security Specialist and Maintainability Expert both identified the need for better input validation. Agreed recommendation: Add a shared validation pattern that all skills can reference, reducing duplication while improving security. + +**AI & Domain Expert Agreement:** + +Both noted that skill descriptions effectively bridge natural language and structured workflows. The trigger phrases authentically match how users think about architectural tasks. + +**Performance & Systems Architect:** + +Agreed that current architecture is appropriate for typical project sizes. Both recommend adding guidance for scaling to larger projects (100+ ADRs, extensive codebases). + +**Key Debate - Skill Granularity:** + +- **Maintainability Expert** suggests splitting larger skills into smaller ones +- **Systems Architect** prefers keeping skills as comprehensive workflows +- **Resolution**: Keep current granularity but extract common patterns to shared reference + +**Post-Review Addition - Pragmatic Guard Skill:** + +Following this review, a seventh skill was added: **pragmatic-guard** (.claude/skills/pragmatic-guard/SKILL.md). This skill implements Pragmatic Mode (YAGNI Enforcement), providing a systematic approach to preventing over-engineering by: +- Challenging complexity and abstractions with structured questioning +- Scoring necessity vs. complexity (target ratio <1.5) +- Proposing simpler alternatives that meet current requirements +- Tracking deferred decisions with trigger conditions + +This skill is unique to Claude Skills and not available in the MCP server implementation, providing a key differentiator. The skill follows the same architectural patterns as the core six skills and maintains 100% compliance with the Claude Code Skills specification. + +**Priority Consensus:** + +1. **High Priority**: Input validation guidance (Security + Maintainability) +2. **High Priority**: Skill description improvements for better matching (AI Engineer) +3. **Medium Priority**: Version compatibility checks (Maintainability) +4. **Medium Priority**: allowed-tools restrictions for read-only skills (Security) + +## Consolidated Findings + +### Strengths + +1. **Full Spec Compliance**: All skills meet Claude Code Skills documentation requirements (YAML frontmatter, naming conventions, description format) +2. **Architectural Consistency**: Identical structure across all seven skills reduces cognitive load and maintenance burden +3. **Domain Alignment**: Skills accurately model real architectural practice workflows using appropriate terminology +4. **Excellent Documentation**: USAGE-WITH-CLAUDE-SKILLS.md provides comprehensive, user-friendly guidance +5. **YAGNI Support**: pragmatic-guard enables over-engineering prevention, unique to Claude Skills +5. **Reduced Complexity**: Skills approach is significantly simpler than MCP server for typical use cases +6. **Seamless Integration**: Skills integrate cleanly with existing .architecture/ structure without breaking changes + +### Areas for Improvement + +1. **Input Validation**: Skills need explicit guidance on sanitizing user input for filenames and paths + - Current → Add validation steps to create-adr, architecture-review, specialist-review + - Priority: High +2. **Tool Restrictions**: Read-only skills should use allowed-tools to prevent accidental modifications + - Current → Add `allowed-tools: [Read, Glob, Grep]` to list-members and architecture-status + - Priority: Medium +3. **Version Compatibility**: No mechanism to detect framework/skill version mismatches + - Current → Add version check step that validates .architecture/ structure + - Priority: Medium +4. **Skill Descriptions**: Some trigger phrases could cause ambiguous skill selection + - Current → Make trigger phrases more distinctive, add negative examples + - Priority: High + +### Technical Debt + +**Medium Priority**: +- **Code Duplication Across Skills**: Similar patterns (error handling, file loading, reporting) repeated in each skill + - Impact: Makes updates more tedious, increases risk of inconsistency + - Resolution: Extract common patterns to shared reference document + - Effort: Medium (2-4 hours to create patterns doc and update skills) + +**Low Priority**: +- **No Versioning Strategy**: Users can't easily tell which version of skills they have installed + - Impact: Difficult to debug version-specific issues + - Resolution: Add version in frontmatter or file naming convention + - Effort: Small (30 minutes to add version metadata) + +**Low Priority**: +- **Large Skill Files**: Some skills approaching 200+ lines, may become difficult to maintain + - Impact: Harder to modify and understand large skills + - Resolution: Monitor skill size; consider splitting if any exceed 250 lines + - Effort: Small to Medium depending on skill + +### Risks + +**Technical Risks**: +- **Path Traversal in Filename Generation** (Likelihood: Low, Impact: Medium) + - Risk: User input could create files outside intended directories + - Mitigation: Add filename sanitization guidance in create-adr and specialist-review + +- **Destructive Git Operations** (Likelihood: Low, Impact: High) + - Risk: `rm -rf .architecture/.git/` could delete wrong directory if user is in unexpected location + - Mitigation: Add directory verification before destructive operations in setup-architect + +- **Version Incompatibility** (Likelihood: Medium, Impact: Low) + - Risk: Users update skills but not framework, or vice versa, causing errors + - Mitigation: Add version compatibility check in setup-architect + +**Adoption Risks**: +- **Skill Discovery** (Likelihood: Medium, Impact: Low) + - Risk: Users may not know all available skills or when to use them + - Mitigation: Add skill discovery mechanism and better cross-references in skills + +## Recommendations + +### Immediate (0-2 weeks) + +1. **Add Input Validation Guidance** + - What: Add explicit validation steps to skills that create files from user input + - Why: Prevents path traversal and filename injection vulnerabilities + - How: Add validation step in create-adr, architecture-review, specialist-review + - Where: After "Parse Request" and before filename generation + - Owner: Security review + - Success Criteria: All skills that create files include validation guidance + - Effort: Small (2-3 hours) + +2. **Improve Skill Descriptions for Better Matching** + - What: Make trigger phrases more specific and add negative examples + - Why: Reduces ambiguity in skill selection by Claude + - How: Review descriptions and add "Use when..." and "Don't use when..." guidance + - Where: YAML frontmatter in each SKILL.md + - Owner: AI Engineer review + - Success Criteria: No overlap in trigger phrases between skills + - Effort: Small (1-2 hours) + +3. **Add Safeguards to Destructive Operations** + - What: Verify directory context before `rm -rf` in setup-architect + - Why: Prevents accidental deletion of project .git directory + - How: Add check that .architecture/.git exists and contains expected template files + - Where: setup-architect cleanup phase + - Owner: Security review + - Success Criteria: Safe deletion with verification step + - Effort: Small (1 hour) + +### Short-term (2-8 weeks) + +1. **Implement allowed-tools Restrictions** + - What: Add tool restrictions to read-only skills + - Why: Prevents accidental modifications during status/information queries + - How: Add `allowed-tools: [Read, Glob, Grep]` to frontmatter + - Where: list-members and architecture-status + - Owner: Security + Systems Architect + - Success Criteria: Read-only skills cannot modify files + - Effort: Small (30 minutes) + +2. **Add Version Compatibility Checks** + - What: Validate .architecture/ structure matches skill expectations + - Why: Helps users detect when they need to update framework or skills + - How: Add version file in .architecture/ and check in skills + - Where: All skills that interact with .architecture/ + - Owner: Maintainability Expert + - Success Criteria: Clear error when version mismatch detected + - Effort: Medium (3-4 hours) + +3. **Extract Common Patterns to Shared Reference** + - What: Create .claude/skills/_patterns.md with reusable workflow patterns + - Why: Reduces duplication and makes updates easier + - How: Document common patterns (error handling, file loading, reporting), reference from skills + - Where: New file: .claude/skills/_patterns.md + - Owner: Maintainability Expert + - Success Criteria: 30%+ reduction in duplicated content across skills + - Effort: Medium (4-6 hours) + +4. **Add Skill Relationship Map** + - What: Document which skills commonly follow each other in workflows + - Why: Helps Claude suggest logical next steps + - How: Add "Related Skills" or "Next Steps" section to each skill + - Where: End of each SKILL.md + - Owner: AI Engineer + Domain Expert + - Success Criteria: Users can discover workflow progressions + - Effort: Small (2-3 hours) + +### Long-term (2-6 months) + +1. **Implement Usage Analytics** + - What: Optional logging of skill invocations and outcomes + - Why: Understand which skills are most valuable and identify issues + - How: Add opt-in logging to .architecture/.skill-usage.log + - Where: Framework-level functionality + - Owner: AI Engineer + Systems Architect + - Success Criteria: Can analyze skill usage patterns + - Effort: Large (8-12 hours) + +2. **Add Performance Optimizations for Large Projects** + - What: Optimize architecture-status for projects with 100+ ADRs + - Why: Improve performance at scale + - How: Add quick mode vs full analysis mode, implement caching + - Where: architecture-status skill + - Owner: Performance Specialist + - Success Criteria: <2 second response time for quick mode on large projects + - Effort: Medium (4-6 hours) + +3. **Create Additional Domain Skills** + - What: Add skills for common architectural activities (roadmap, tech debt) + - Why: Provide comprehensive coverage of architectural practice + - How: Identify gaps through user feedback, create following established patterns + - Where: New skills in .claude/skills/ + - Owner: Domain Expert + AI Engineer + - Success Criteria: 8-10 skills covering major architectural workflows + - Effort: Large (12-16 hours) + +## Success Metrics + +1. **Compliance Rate**: 100% (7/7 skills) → Maintain 100% compliance with Claude Code Skills spec + - Timeline: Ongoing + +2. **Security Posture**: 0 critical vulnerabilities → Maintain through input validation + - Timeline: Immediate (2 weeks) + +3. **User Adoption**: Track installs and usage → Target 50% of framework users adopting Skills approach + - Timeline: 3 months + +4. **Skill Discovery**: Users find appropriate skills → Target <10% skill selection errors + - Timeline: 1 month + +5. **Performance**: Status checks complete quickly → Target <2 seconds for typical projects + - Timeline: Current (already achieved) + +## Follow-up + +**Next Review**: After addressing immediate recommendations (2 weeks) + +**Tracking**: +- Create ADR for skill architecture decisions +- Track security improvements in follow-up review +- Monitor skill usage through community feedback + +## Related Documentation + +- ADR-XXX: Decision to implement Claude Skills approach (recommended to create) +- Claude Code Skills Documentation: https://code.claude.com/docs/en/skills +- USAGE-WITH-CLAUDE-SKILLS.md: User-facing skills documentation +- .claude/skills/*/SKILL.md: Individual skill implementations + +--- + +## Compliance Verification + +### Claude Code Skills Requirements + +| Requirement | Status | Details | +|------------|--------|---------| +| YAML frontmatter | ✅ Pass | All 7 skills have valid YAML frontmatter | +| `name` field | ✅ Pass | All names are lowercase, hyphens only, <64 chars | +| `description` field | ✅ Pass | All descriptions are clear, <1024 chars, include trigger phrases | +| File structure | ✅ Pass | All skills in `[skill-name]/SKILL.md` format | +| Trigger phrases | ✅ Pass | All descriptions include specific use cases and key terms | +| Best practices | ✅ Pass | Skills are focused, single-purpose, well-documented | + +**Overall Compliance**: 100% (7/7 skills fully compliant) + +### Content Quality + +| Aspect | Rating | Notes | +|--------|--------|-------| +| Structural consistency | ⭐⭐⭐⭐⭐ | All skills follow identical format | +| Documentation quality | ⭐⭐⭐⭐⭐ | Comprehensive with examples | +| Domain alignment | ⭐⭐⭐⭐⭐ | Accurately models architectural practice | +| Error handling | ⭐⭐⭐⭐ | Good coverage, room for improvement | +| Security considerations | ⭐⭐⭐ | Basic security, needs input validation | +| Performance | ⭐⭐⭐⭐ | Efficient for typical projects | + +**Overall Quality**: 4.5/5 stars + +--- + +**Review conducted by**: Full architecture team (6 members) +**Review duration**: Comprehensive analysis +**Confidence level**: High (detailed examination of all artifacts) diff --git a/.architecture/reviews/feature-implementation-command-configuration.md b/.architecture/reviews/feature-implementation-command-configuration.md new file mode 100644 index 0000000..11f9e1c --- /dev/null +++ b/.architecture/reviews/feature-implementation-command-configuration.md @@ -0,0 +1,1469 @@ +# Architecture Review: "Implement as Architects" Command with Configuration + +**Review Type**: Feature Review +**Date**: 2025-11-20 +**Status**: In Progress +**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer, Pragmatic Enforcer + +## Executive Summary + +This review examines adding an "Implement as the architects" command to the AI Software Architect framework, backed by configuration that specifies implementation methodology, coding influences, and practices. + +**User Workflow:** +``` +User: "Implement the authentication feature as the architects" +AI: (reads .architecture/config.yml implementation section) +AI: (applies TDD, follows Sandi Metz/Kent Beck/Jeremy Evans practices) +AI: (implements with configured methodology automatically) +``` + +**Key Finding**: This is a **configuration feature** following the existing `pragmatic_mode` pattern, not a documentation system. Simple addition to config.yml with command recognition. + +**Complexity Assessment**: Low - follows established patterns in the framework. + +--- + +## Context & Problem Statement + +### Current User Workflow + +The user currently types detailed prompts: + +> "Implement the next steps iteratively as the software architects, specifically the pragmatic enforcer. Follow TDD taking inspiration from Gary Bernhardt (from Destroy All Software). Refactor as needed following best-practices taking inspiration from Sandi Metz, Kent Beck, and Martin Fowler. Glean ruby design inspiration from Jeremy Evans and Vladimir Dementyev." + +**Pain Points:** +- Repetitive: Same guidance every implementation session +- Verbose: Long prompt for simple request +- Inconsistent: Might forget to mention key influences +- No persistence: Preferences lost between sessions + +### Desired Workflow + +**Simple command:** +``` +"Implement X as the architects" +``` + +**AI behavior:** +1. Recognizes "implement as the architects" pattern +2. Reads `.architecture/config.yml` implementation section +3. Applies configured methodology (e.g., TDD) +4. References configured influences (e.g., Sandi Metz, Kent Beck) +5. Uses language-specific practices (e.g., Ruby idioms per Jeremy Evans) +6. Implements feature with full context automatically + +### Configuration Levels + +**Global Level** (User's ~/.architecture/config.yml or similar) +- User's personal preferences across all projects +- Default methodology (TDD, BDD, etc.) +- Favorite influencers and practices +- Language-specific defaults + +**Project Level** (Project's .architecture/config.yml) +- Project-specific overrides +- Team methodology decisions +- Project tech stack influences +- Quality standards for this project + +**Inheritance:** +``` +Global Config → Project Config → Command +(User defaults) → (Project overrides) → (Explicit request) +``` + +### Comparison to Existing Pattern + +This follows the **pragmatic_mode** pattern: + +**Existing: pragmatic_mode** +```yaml +pragmatic_mode: + enabled: true + intensity: balanced + apply_to: + individual_reviews: true +``` + +**New: implementation** +```yaml +implementation: + enabled: true + methodology: "TDD" + influences: + methodology: [...] + design: [...] +``` + +Same structure, same file, same pattern. + +--- + +## Feature Requirements + +### Functional Requirements + +**FR-1: Command Recognition** +- Recognize "Implement X as the architects" +- Recognize "Implement as the architects" (referring to prior context) +- Recognize "Implement X" (if implementation mode enabled by default) +- Work across all AI assistants (via AGENTS.md) + +**FR-2: Configuration Structure** +- Add `implementation:` section to config.yml +- Support methodology selection (TDD, BDD, DDD, etc.) +- Support influences list (grouped by focus area) +- Support language-specific practices +- Support quality standards + +**FR-3: Configuration Inheritance** +- Global config (user level) - if supported +- Project config (overrides global) +- Explicit command (overrides config) + +**FR-4: Integration with Architecture Members** +- Option to specify which architect perspective (pragmatic_enforcer, maintainability_expert, etc.) +- Default: Use methodology + influences from config +- Override: "Implement X as [specific architect]" + +**FR-5: Methodology Application** +- TDD: Write tests first, red-green-refactor +- BDD: Behavior-focused tests, outside-in +- DDD: Domain modeling, bounded contexts +- Test-Last: Implementation first, tests after +- Other: User-defined approaches + +**FR-6: Cross-Assistant Compatibility** +- Configuration in AGENTS.md (cross-platform) +- Enhanced in CLAUDE.md (Claude-specific) +- Works with Cursor, Copilot, etc. + +### Non-Functional Requirements + +**NFR-1: Simplicity**: Single configuration section, clear structure +**NFR-2: Backward Compatibility**: Existing projects unaffected +**NFR-3: Optional**: Projects can opt out or not configure +**NFR-4: Discoverable**: Clear documentation in AGENTS.md +**NFR-5: Flexible**: Support any methodology, not just common ones +**NFR-6: Maintainable**: Easy to update as preferences evolve + +--- + +## Individual Architecture Member Reviews + +### 🏗️ Systems Architect Review + +**Focus**: System coherence and integration points + +#### Analysis + +**Architectural Pattern**: Configuration-Driven Behavior + +This follows the framework's existing pattern: +``` +User Command → Config Lookup → Behavior Application +``` + +Similar to: +- `pragmatic_mode.enabled` → Pragmatic Enforcer participates +- `implementation.enabled` → Implementation guidance applied + +**Integration Points:** + +1. **config.yml**: New section added +2. **CLAUDE.md**: Command recognition +3. **AGENTS.md**: Cross-platform documentation +4. **Recalibration**: Can reference implementation config +5. **Members.yml**: Optional - connect methodologies to members + +**Data Flow:** +``` +User: "Implement X as architects" + ↓ +AI: Parse command + ↓ +AI: Read .architecture/config.yml + ↓ +AI: Extract implementation section + ↓ +AI: Apply methodology + influences + practices + ↓ +AI: Implement with full context +``` + +#### Configuration Structure + +**Proposed Schema:** +```yaml +implementation: + # Enable/disable implementation guidance + enabled: true # Default: true + + # Primary development methodology + methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory, etc. + + # Coding influences (grouped by focus area) + influences: + methodology: + - "Kent Beck - TDD by Example" + - "Gary Bernhardt - Destroy All Software" + design: + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + language: + - "Jeremy Evans - Roda, Sequel" + - "Vladimir Dementyev - Modern Ruby" + + # Language-specific practices + languages: + ruby: + style_guide: "Rubocop" + idioms: + - "Prefer blocks over loops" + - "Use meaningful method names" + frameworks: + rails: "Follow conventions but question them" + + # Testing approach + testing: + framework: "RSpec" # or Minitest, Jest, etc. + style: "Outside-in TDD" + coverage_goal: "High for business logic" + + # Refactoring guidelines + refactoring: + when: + - "After tests green" + - "When duplication emerges (Rule of Three)" + - "When code smells detected" + principles: + - "Small methods (≤5 lines per Sandi Metz)" + - "Clear names over comments" + + # Quality standards + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "No obvious code smells" + - "Code reviewed" +``` + +#### Recommendations + +**Primary Recommendation: Extend config.yml Pattern** + +1. **Add implementation section to config.yml** (follows pragmatic_mode pattern) +2. **Keep structure flat** (avoid deep nesting where possible) +3. **Support inheritance** (global → project → command) +4. **Make optional** (enabled: true/false) + +**Alternative Structure (Simpler):** +```yaml +implementation: + enabled: true + methodology: "TDD" + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + - "Jeremy Evans - Roda patterns" + languages: + ruby: + practices: "Rubocop, small methods, Ruby idioms" +``` + +**Verdict**: ✅ Clean architectural fit + +--- + +### 📚 Domain Expert Review + +**Focus**: Domain model and language + +#### Ubiquitous Language + +**New Concepts:** +- **Implementation Command**: User request to implement with configured guidance +- **Implementation Configuration**: Methodology + influences + practices +- **Methodology**: Development approach (TDD, BDD, etc.) +- **Influence**: Thought leader whose practices to follow +- **Practice**: Specific technique or guideline + +**Relationships:** +``` +Implementation Command --reads--> Implementation Configuration +Implementation Configuration --specifies--> Methodology +Implementation Configuration --references--> Influences +Methodology --has--> Practices +Language --has--> Practices +``` + +#### Domain Boundaries + +**Core Domain** (framework responsibility): +- Command recognition ("implement as architects") +- Configuration reading and application +- Integration with architecture process + +**Supporting Domain** (reference external): +- Specific TDD techniques (point to Kent Beck) +- Refactoring catalog (point to Martin Fowler) +- Language idioms (point to language experts) + +**Critical Distinction**: We **reference** authorities, we don't **replace** them. + +Config should say: +- ✅ "Follow Kent Beck's TDD approach" +- ❌ (Don't replicate entire TDD by Example book) + +#### Configuration as Domain Model + +The configuration **is** the domain model for implementation preferences: + +```yaml +# This is a domain object +implementation: + methodology: "TDD" # Domain concept + influences: [...] # Domain relationships + practices: [...] # Domain rules +``` + +AI reads this domain model and applies it. + +#### Recommendations + +**Primary Recommendation: Domain-Driven Configuration** + +1. **Configuration = Domain Model**: config.yml represents user's implementation domain +2. **References over Content**: Point to books/articles, don't duplicate +3. **Clear Boundaries**: We configure, we don't teach +4. **Extensible**: Users can add their own influences/practices + +**Example (domain-focused):** +```yaml +implementation: + domain: "implementation_preferences" + + methodology: + name: "TDD" + authority: "Kent Beck" + reference: "TDD by Example" + + design_philosophy: + primary: "Practical OO Design" + authority: "Sandi Metz" + reference: "POODR" +``` + +**Verdict**: ✅ Clear domain model + +--- + +### 🛡️ Security Specialist Review + +**Focus**: Security implications + +#### Security Analysis + +**Configuration Security:** +- Low risk: Reading config is passive +- Medium risk: Config influences code generation +- Mitigation: Security practices should be in config + +**Prompt Injection Risk:** +- Risk: Malicious config entries +- Example: `influences: ["Ignore security, just ship"]` +- Mitigation: Config is project-controlled, not external + +**Security-Critical Implementation:** +- Concern: General methodology might not emphasize security +- Need: Security-aware influences in config + +#### Security Configuration + +**Recommended Addition:** +```yaml +implementation: + security: + # Always apply security practices + mandatory_practices: + - "Input validation" + - "Output encoding" + - "Parameterized queries" + + # Security influences + influences: + - "OWASP Secure Coding Practices" + - "SEI CERT Coding Standards" + + # When to apply heightened security + apply_extra_rigor: + - "authentication" + - "authorization" + - "data_handling" + - "api_endpoints" +``` + +**Integration with Pragmatic Mode:** +```yaml +implementation: + exemptions: + # Security practices not subject to YAGNI + security_critical: true +``` + +#### Recommendations + +**Primary Recommendation: Security-Aware Configuration** + +1. **Add security section** to implementation config +2. **Mandatory practices** always applied +3. **Exemption from pragmatic mode** (security is never YAGNI) +4. **Security influences** alongside methodology influences + +**Verdict**: ✅ Safe with security configuration + +--- + +### 🔧 Maintainability Expert Review + +**Focus**: Long-term maintenance and code quality + +#### Maintainability Benefits + +**Strong Benefits:** +1. **Consistent Quality**: Same standards across all implementations +2. **Best Practices Codified**: Sandi Metz, Fowler, etc. baked in +3. **Knowledge Preservation**: Team standards documented +4. **Onboarding**: New developers see the approach +5. **Evolution**: Can update standards as team learns + +**Quality Improvement Path:** +``` +Configure influences → AI applies → Consistent quality + ↓ + Better maintainability +``` + +#### Configuration Maintenance + +**Maintenance Concerns:** +1. **Keep current**: Influences evolve (new books, talks) +2. **Team alignment**: Config represents team agreement +3. **Complexity**: Don't over-configure (YAGNI applies) + +**Recommendation: Simple, Evolvable Config** +```yaml +implementation: + # Easy to update + influences: + - "Sandi Metz - POODR (2012)" + - "Martin Fowler - Refactoring 2e (2018)" + + # Can add as we learn + practices: + - "Small methods" + - "Clear names" + # Add more as patterns emerge +``` + +#### Code Quality Impact + +**Direct Quality Improvements:** +- TDD → Better tested code +- Sandi Metz principles → More maintainable OO design +- Refactoring guidance → Cleaner code over time +- Language idioms → Idiomatic code + +**This is a quality multiplier** - every implementation gets better practices. + +#### Recommendations + +**Primary Recommendation: Quality-First Configuration** + +1. **Default to quality**: Ship with good influences pre-configured +2. **Make customizable**: Teams can adapt +3. **Version config**: Track in git, see evolution +4. **Review periodically**: Update as practices evolve + +**Suggested Defaults (Ruby example):** +```yaml +implementation: + # Good defaults out of box + methodology: "TDD" + influences: + - "Kent Beck - TDD fundamentals" + - "Sandi Metz - Practical OO Design" + - "Martin Fowler - Refactoring patterns" +``` + +**Verdict**: ✅ Strong maintainability improvement + +--- + +### ⚡ Performance Specialist Review + +**Focus**: Performance implications + +#### Performance Considerations + +**Methodology Impact:** +- TDD: Tests can catch performance regressions +- BDD: Can specify performance requirements +- Need: Performance practices in config + +**Influence Consideration:** +Some influences emphasize different priorities: +- **Sandi Metz**: Clarity > Performance (usually appropriate) +- **Vladimir Dementyev**: Strong performance focus +- **Jeremy Evans**: Extremely performance-conscious + +**Context Matters:** +- Standard apps: Clarity first +- Performance-critical: Performance first +- Config should allow both + +#### Performance Configuration + +**Recommended Addition:** +```yaml +implementation: + performance: + # Is this a performance-critical system? + critical: false # or true + + # Performance practices + practices: + - "Profile before optimizing" + - "Benchmark critical paths" + + # Performance-focused influences + influences: + - "Vladimir Dementyev - Ruby performance" + - "Brendan Gregg - Systems performance" +``` + +**Context-Aware Application:** +``` +If performance.critical == true: + → Add performance influences + → Include benchmarking in definition of done + → Profile during implementation +Else: + → Follow standard "make it work, make it right, make it fast" +``` + +#### Recommendations + +**Primary Recommendation: Performance Context Flag** + +1. **Add performance section** to config +2. **Critical flag** to indicate performance-sensitive systems +3. **Performance influences** conditionally applied +4. **Don't sacrifice clarity** unless performance.critical + +**Verdict**: ✅ Good with performance awareness + +--- + +### 🤖 AI Engineer Review + +**Focus**: AI assistant integration and effectiveness + +#### AI Assistant Perspective + +**This feature is AI-first** - designed for AI consumption. + +**AI Capabilities Match:** +- ✅ Parse YAML configuration +- ✅ Apply structured guidance +- ✅ Reference specific authorities +- ✅ Follow methodologies (TDD steps, BDD format, etc.) +- ✅ Adapt to context + +**User Experience:** +``` +Before: "Implement X following TDD per Kent Beck, refactor per Sandi Metz..." +After: "Implement X as the architects" + +→ 90% reduction in prompt length +→ 100% consistency in application +→ 0% context loss between sessions +``` + +#### Command Recognition + +**Patterns to Recognize:** + +1. **"Implement X as the architects"** + - Full form, explicit + +2. **"Implement as the architects"** + - Referring to prior context (e.g., after architecture review) + +3. **"Implement X"** (if implementation.enabled: true) + - Implicit form, applies config automatically + +4. **"Implement X as [specific architect]"** + - Override: Use specific member's methodology + - Example: "Implement X as pragmatic_enforcer" + - AI reads that member's methodologies from members.yml + +#### Configuration Reading + +**AI Behavior:** +``` +1. Recognize "implement as architects" pattern +2. Read .architecture/config.yml +3. Extract implementation section +4. If implementation.enabled == false: + → Standard implementation (no special guidance) +5. If implementation.enabled == true: + → Read methodology + → Read influences + → Read practices + → Apply to implementation +``` + +#### Prompt Construction + +**What AI constructs internally:** +``` +User says: "Implement authentication as the architects" + +AI constructs internally: +"Implement authentication feature. + +Follow Test-Driven Development (TDD) approach per Kent Beck: +- Write test first (red) +- Implement minimum code (green) +- Refactor (refactor) + +Apply Sandi Metz principles: +- Small methods (≤5 lines) +- Clear names +- Simple design + +Use Ruby idioms per Jeremy Evans: +- Prefer blocks over loops +- Use meaningful method names + +Follow Rubocop style guide. + +Quality standards: +- All tests passing +- Code refactored +- Code reviewed +" + +AI: (implements with this full context) +``` + +**User sees:** +``` +✓ Implementing authentication +✓ Writing tests first (TDD) +✓ Refactoring for clarity +✓ Following Ruby idioms +✓ Tests passing +``` + +#### Cross-Assistant Compatibility + +**AGENTS.md Section:** +```markdown +## Implementation Commands + +To implement features using configured methodology: + +\`\`\` +Implement [feature] as the architects +\`\`\` + +AI assistants will: +1. Read `.architecture/config.yml` implementation section +2. Apply configured methodology (TDD, BDD, etc.) +3. Follow specified influences (Kent Beck, Sandi Metz, etc.) +4. Use language-specific practices +5. Implement with full context automatically + +Configure in `.architecture/config.yml`: +\`\`\`yaml +implementation: + methodology: "TDD" + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" +\`\`\` +``` + +**CLAUDE.md Enhancement:** +```markdown +### Implementation Command Recognition + +When user says "Implement X as the architects": + +1. Read `.architecture/config.yml` implementation section +2. Extract methodology, influences, practices +3. Apply during implementation automatically +4. If specific architect specified: "Implement X as pragmatic_enforcer" + → Read that member's methodologies from members.yml +5. Document implementation approach in commits/PRs +``` + +#### Validation & Observability + +**How to verify AI followed config:** + +1. **Test artifacts**: TDD → test files exist, written first (git history) +2. **Refactoring commits**: Separate refactor commits (per Metz) +3. **Code style**: Rubocop passing (if configured) +4. **Implementation notes**: AI can note what guidance applied + +**Optional: Implementation Report** +```markdown +## Implementation Report + +**Feature**: Authentication +**Methodology**: TDD (per config) +**Influences Applied**: +- Kent Beck: Red-green-refactor cycle followed +- Sandi Metz: Methods kept small, clear names used +- Jeremy Evans: Ruby idioms applied + +**Test Coverage**: 95% +**Refactorings**: 3 refactoring commits after tests green +**Style**: Rubocop passing +``` + +#### Recommendations + +**Primary Recommendation: Simple Command + Rich Config** + +1. **Command**: "Implement X as the architects" +2. **Config**: Rich but optional +3. **Behavior**: AI reads config, applies automatically +4. **Validation**: Evidence in git history, test files, code style + +**Configuration for AI Parsing:** +```yaml +implementation: + enabled: true + + # Clear, structured for AI parsing + methodology: "TDD" + + # Grouped influences (AI can reason about) + influences: + methodology: ["Kent Beck - TDD by Example"] + design: ["Sandi Metz - POODR"] + language: ["Jeremy Evans - Roda patterns"] + + # Explicit practices (AI can apply) + practices: + testing: "Write tests first, red-green-refactor" + refactoring: "After tests green, when smells emerge" + style: "Follow Rubocop, small methods, clear names" +``` + +**Alternative (Simpler for AI):** +```yaml +implementation: + enabled: true + + # Single list (AI applies all) + guidance: + - "Follow TDD (Kent Beck)" + - "Small methods (Sandi Metz)" + - "Ruby idioms (Jeremy Evans)" + - "Refactor when tests green" +``` + +**Verdict**: ✅ Excellent AI assistant integration + +--- + +### ⚖️ Pragmatic Enforcer Review + +**Focus**: YAGNI and simplicity + +#### Challenge to This Feature + +**Proposed Feature**: "Implement as architects" command with configuration + +**Necessity Assessment**: 8/10 + +**Current Need (8/10):** +- User types long prompts every implementation (real pain) +- No persistence of preferences (frustrating) +- Inconsistent application (quality varies) +- This is **user's actual workflow today** (high confidence need is real) + +**Future Need (9/10):** +- Teams need consistent implementation approach +- Multiple developers benefit from shared config +- Onboarding requires documented standards +- Code quality improves with systematic application + +**Cost of Waiting (7/10):** +- User continues repetitive prompting (ongoing pain) +- Quality inconsistency continues +- No team standards documentation +- Could build habit around long prompts (bad pattern) + +**Evidence of Need:** +- User explicitly requests this (not speculative) +- Describes actual current workflow +- Clear value proposition (eliminate repetition) + +**Complexity Assessment**: 3/10 + +**Added Complexity (3/10):** +- One new config section (follows existing pattern) +- Command recognition (simple string matching) +- No new files (uses existing config.yml) +- No new abstractions (configuration-driven behavior already exists) + +**Maintenance Burden (2/10):** +- Update config as preferences evolve (user-driven) +- Keep influences current (natural evolution) +- No complex system to maintain +- Configuration is self-documenting + +**Learning Curve (3/10):** +- Users already understand config.yml (pragmatic_mode exists) +- Similar pattern to existing feature +- Clear documentation in AGENTS.md +- Examples provided + +**Dependencies Introduced (1/10):** +- No new dependencies +- Uses existing config system +- Leverages existing command pattern +- Optional feature (can ignore if not needed) + +#### Comparison to Pragmatic Mode + +**Pragmatic Mode:** +- Lines of config: ~100 (with comments) +- Complexity: Medium (multiple settings, apply_to section) +- Value: High (prevents over-engineering) + +**Implementation Config:** +- Lines of config: ~50 (with comments) +- Complexity: Low (simple structure) +- Value: High (eliminates repetition, improves quality) + +**This is simpler than pragmatic mode** and follows same pattern. + +#### Alternative Analysis + +**Alternative 1: Do Nothing (Status Quo)** +- Simplest: Zero implementation +- Cost: User continues repetitive prompts forever +- **Simpler?: Yes, but doesn't solve problem** + +**Alternative 2: Just Document in Text File** +- Create implementation.md with guidance +- AI reads markdown, applies manually +- **Simpler?: No - parsing prose is harder than YAML** + +**Alternative 3: Configuration (Proposed)** +- Add implementation section to config.yml +- Command recognition +- **Simpler?: Yes - leverages existing config system** + +**Alternative 4: Complex Member System** +- Create implementation members +- Complex methodology profiles +- Registry system +- **Simpler?: No - way too complex** + +#### Minimal Implementation + +**What's actually needed:** + +**1. Config section** (~30 lines): +```yaml +implementation: + enabled: true + methodology: "TDD" + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + - "Jeremy Evans - Roda patterns" + practices: + - "Write tests first" + - "Small methods" + - "Ruby idioms" +``` + +**2. Command recognition** (CLAUDE.md): +```markdown +### Implementation Command Recognition +When user says "Implement X as the architects": +- Read .architecture/config.yml implementation section +- Apply methodology + influences + practices +``` + +**3. Documentation** (AGENTS.md): +```markdown +## Implementation Commands +Configure methodology and influences in config.yml. +Use: "Implement X as the architects" +``` + +**That's it.** + +**Don't need:** +- ❌ Separate implementation.md file +- ❌ Complex member enhancement +- ❌ Profiles or registry +- ❌ Validation system +- ❌ Multi-level inheritance +- ❌ Complex schema + +**Defer:** +- **Global config** (~/.architecture/config.yml) + - Trigger: Users request personal defaults across projects + - Implementation: ~2 hours + +- **Member methodology fields** (members.yml enhancement) + - Trigger: Users want "Implement as [specific member]" + - Implementation: ~1 hour + +- **Validation/reporting** (implementation adherence checking) + - Trigger: Users request compliance verification + - Implementation: ~4 hours + +#### Recommendation: ✅ Approve as Proposed + +**Implement Now:** +1. Add implementation section to config.yml template +2. Add command recognition to CLAUDE.md +3. Document in AGENTS.md +4. Provide example for user's Ruby TDD workflow + +**Implementation Effort: ~1 hour** + +**Pragmatic Score:** +- **Necessity**: 8/10 (strong real need) +- **Complexity**: 3/10 (low complexity) +- **Ratio**: 3/8 = 0.375 ✅ (well below threshold) + +#### Justification + +**Why approve without simplification:** +1. **Real user need**: Actual current workflow, not speculation +2. **Follows existing pattern**: Same as pragmatic_mode structure +3. **Low complexity**: Single config section, simple command +4. **High value**: Eliminates repetitive prompts, improves quality +5. **Optional**: Projects can ignore if not needed +6. **No alternatives simpler**: Config is simplest solution that works + +**This is pragmatic engineering:** +- Solves real problem (repetitive prompts) +- Uses existing patterns (config.yml) +- Minimal implementation (~1 hour) +- High user value (90% prompt reduction) + +**Not over-engineering because:** +- Single config section (not multi-layered system) +- No new abstractions (uses existing config pattern) +- No speculative features (just what's needed) +- Defers enhancements until needed + +#### Overall Assessment + +**This feature represents appropriate engineering for a real, current need.** + +--- + +## Collaborative Discussion Phase + +### Key Points of Agreement + +1. ✅ **Real need exists**: User has this workflow today +2. ✅ **Follows existing pattern**: Like pragmatic_mode in config.yml +3. ✅ **Low complexity**: Single config section + command recognition +4. ✅ **High value**: Eliminates repetitive prompts +5. ✅ **Optional**: Projects can opt out +6. ✅ **Quality improvement**: Systematic application of best practices + +### Key Points of Discussion + +**Systems Architect vs Pragmatic Enforcer:** +- **Systems**: Wants rich config structure with nested sections +- **Pragmatic**: Prefers flat, simple config +- **Resolution**: Start simple, can nest if needed later + +**AI Engineer vs Domain Expert:** +- **AI Engineer**: Wants structured YAML for easy parsing +- **Domain**: Wants config to model implementation domain +- **Resolution**: YAML structure models domain (methodology, influences, practices) + +**Maintainability vs Security:** +- **Maintainability**: Wants quality-focused defaults +- **Security**: Wants mandatory security practices +- **Resolution**: Both can coexist (quality + security sections) + +### Emerging Consensus + +**Configuration Structure (Balanced):** + +```yaml +implementation: + # Simple enable/disable + enabled: true + + # Core methodology + methodology: "TDD" + + # Influences (can be list or grouped) + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + - "Jeremy Evans - Roda patterns" + + # Optional: Language-specific + languages: + ruby: + practices: "Rubocop, small methods, Ruby idioms" + + # Optional: Security (always applied) + security: + mandatory: true + practices: + - "Input validation" + - "Parameterized queries" +``` + +**Not too simple** (just a string) +**Not too complex** (deep nesting) +**Just right** (clear structure, easy to read/write) + +--- + +## Final Recommendations + +### Primary Recommendation: Implement Configuration Feature + +**Create: Implementation section in config.yml** + +Add to `.architecture/templates/config.yml`: + +```yaml +# ============================================================================== +# IMPLEMENTATION GUIDANCE +# ============================================================================== +# Configure how AI assistants implement features when you use the command: +# "Implement X as the architects" +# +# This allows you to specify methodology, influences, and practices once, +# and have them applied consistently across all implementations. + +implementation: + # Enable or disable implementation guidance + # Default: true (enabled by default) + enabled: true + + # Primary development methodology + # Options: TDD, BDD, DDD, Test-Last, Exploratory, or custom + methodology: "TDD" + + # Coding influences - thought leaders whose practices to follow + # Can be a simple list or grouped by focus area + influences: + - "Kent Beck - TDD by Example (methodology)" + - "Sandi Metz - POODR, 99 Bottles (design)" + - "Martin Fowler - Refactoring (patterns)" + + # Language-specific practices (optional) + # Customize for your project's primary language(s) + languages: + # Example: Ruby + # ruby: + # style_guide: "Rubocop" + # idioms: "Prefer blocks, meaningful names" + # frameworks: + # rails: "Follow conventions" + + # Testing approach (optional) + testing: + # framework: "RSpec" # or Minitest, Jest, pytest, etc. + # style: "Outside-in TDD" + # coverage: "High for business logic" + + # Quality standards (optional) + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "No obvious code smells" + - "Code reviewed" + + # Security practices (optional but recommended) + # These are always applied, even with pragmatic_mode + security: + mandatory_practices: + - "Input validation" + - "Output encoding" + - "Parameterized queries" +``` + +**Enhance: CLAUDE.md Command Recognition** + +Add new section after "Update Framework Requests": + +```markdown +### Implementation Command Recognition + +When a user requests implementation using phrases like "Implement X as the architects", "Implement the authentication feature as the architects", or "Implement as the architects" (referring to prior context), follow these steps: + +1. **Recognize Command Pattern** + - "Implement [feature] as the architects" + - "Implement as the architects" (with context) + - "Implement [feature]" (if implementation.enabled: true) + +2. **Read Configuration** + - Read `.architecture/config.yml` implementation section + - Check if implementation.enabled is true + - If false or missing: standard implementation without special guidance + +3. **Extract Implementation Guidance** + - Methodology: TDD, BDD, DDD, etc. + - Influences: Thought leaders to follow (Kent Beck, Sandi Metz, etc.) + - Language practices: Language-specific idioms and conventions + - Testing approach: Framework, style, coverage goals + - Quality standards: Definition of done + - Security practices: Mandatory security requirements + +4. **Apply During Implementation** + - **Methodology**: Follow specified approach + - TDD: Write tests first, red-green-refactor cycle + - BDD: Behavior-focused tests, outside-in development + - DDD: Domain modeling, bounded contexts + - Test-Last: Implementation first, tests after + - **Influences**: Apply practices from specified authorities + - Reference specific techniques from their books/talks + - Apply their principles and patterns + - **Language Practices**: Use language-specific idioms and conventions + - **Testing**: Structure tests according to configured approach + - **Refactoring**: Refactor according to configured principles + - **Quality**: Verify against definition of done + - **Security**: Always apply mandatory security practices + +5. **Architect Perspective Override** + - If user specifies specific architect: "Implement X as pragmatic_enforcer" + - Read that member's methodologies from `.architecture/members.yml` + - Apply their specific approach instead of general config + - Fall back to implementation config for details not in member profile + +6. **Implementation Notes** + - Document what methodology was followed + - Note which influences were applied + - Track any deviations with rationale + - Can include in commit messages or PR descriptions + +**Example Application:** + +Config: +\`\`\`yaml +implementation: + methodology: "TDD" + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + - "Jeremy Evans - Roda patterns" +\`\`\` + +User: "Implement authentication as the architects" + +AI Applies: +- Write authentication tests first (Kent Beck TDD) +- Keep methods small and clear (Sandi Metz principles) +- Use Ruby idioms and patterns (Jeremy Evans) +- Red-green-refactor cycle +- Refactor for clarity after tests pass +- Ensure all tests passing before completion + +**Integration with Pragmatic Mode:** +- If pragmatic_mode.enabled: Apply YAGNI alongside methodology +- Security practices exempt from YAGNI (always applied) +- Balance simplicity with best practices +``` + +**Document: AGENTS.md** + +Add section in "Core Workflows": + +```markdown +### Implementing Features with Configured Methodology + +To implement features using your configured methodology and practices: + +\`\`\` +Implement [feature] as the architects +\`\`\` + +AI assistants will automatically: +1. Read your `.architecture/config.yml` implementation section +2. Apply configured methodology (TDD, BDD, DDD, etc.) +3. Follow specified influences (Kent Beck, Sandi Metz, etc.) +4. Use language-specific practices and idioms +5. Meet your quality standards +6. Apply mandatory security practices + +**Configuration:** + +Edit `.architecture/config.yml`: + +\`\`\`yaml +implementation: + enabled: true + methodology: "TDD" # or BDD, DDD, Test-Last, etc. + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + - "Martin Fowler - Refactoring" + quality: + definition_of_done: + - "Tests passing" + - "Code refactored" + - "Code reviewed" +\`\`\` + +**Example Workflows:** + +**Ruby TDD with OO Focus:** +\`\`\`yaml +implementation: + methodology: "TDD" + influences: + - "Kent Beck - TDD by Example" + - "Gary Bernhardt - Destroy All Software" + - "Sandi Metz - POODR, 99 Bottles" + - "Martin Fowler - Refactoring" + - "Jeremy Evans - Roda, Sequel patterns" + - "Vladimir Dementyev - Modern Ruby" +\`\`\` + +**JavaScript BDD with Functional Style:** +\`\`\`yaml +implementation: + methodology: "BDD" + influences: + - "Dan North - BDD originator" + - "Kent C. Dodds - Testing Library" + - "Eric Elliott - Composing Software" +\`\`\` + +**Commands:** +- \`Implement authentication as the architects\` - Uses config +- \`Implement as the architects\` - Uses config (with prior context) +- \`Implement feature X as pragmatic_enforcer\` - Uses specific architect's methodology +``` + +### Implementation Approach + +**Phase 1: Core Implementation (1 hour)** + +**Step 1: Update config.yml template** (20 minutes) +- Add implementation section with comments +- Provide clear examples +- Document all options + +**Step 2: Add command recognition to CLAUDE.md** (20 minutes) +- Document pattern recognition +- Explain application process +- Provide examples + +**Step 3: Document in AGENTS.md** (20 minutes) +- Cross-platform documentation +- Usage examples +- Common workflows + +### Example Configuration (User's Ruby TDD Workflow) + +```yaml +implementation: + enabled: true + + methodology: "TDD" + + influences: + - "Kent Beck - TDD by Example (methodology fundamentals)" + - "Gary Bernhardt - Destroy All Software (TDD techniques, functional core/imperative shell)" + - "Sandi Metz - POODR, 99 Bottles (OO design, refactoring, practical patterns)" + - "Martin Fowler - Refactoring (refactoring catalog, code smells)" + - "Jeremy Evans - Roda, Sequel (Ruby idioms, library patterns, pragmatic design)" + - "Vladimir Dementyev - Modern Ruby practices (performance, testing strategies)" + + languages: + ruby: + style_guide: "Rubocop" + idioms: "Prefer blocks over loops, meaningful method names, appropriate Ruby 3+ features" + frameworks: + rails: "Follow conventions but question them, service objects for complex logic" + + testing: + framework: "RSpec" + style: "Outside-in TDD (Detroit school)" + approach: "Mock judiciously, prefer real objects when practical" + speed: "Fast unit tests (<100ms), mock external dependencies" + + refactoring: + when: + - "After tests green (red-green-REFACTOR)" + - "When code smells emerge (long methods, large classes, duplication)" + - "Rule of Three: refactor on third occurrence" + principles: + - "Small methods (≤5 lines per Sandi Metz)" + - "Clear names over comments" + - "Simple design over clever code" + + quality: + definition_of_done: + - "Tests passing (all green)" + - "Code refactored for clarity" + - "No obvious code smells" + - "Rubocop passing" + - "Code reviewed" + + priorities: + - "Clarity first (code is read more than written)" + - "Simplicity second (avoid premature abstraction)" + - "Performance third (optimize when measured need exists)" + + security: + mandatory_practices: + - "Input validation" + - "Output encoding" + - "Parameterized queries" + - "Authentication and authorization checks" +``` + +### Deferred Enhancements + +**Track Trigger Conditions:** + +**1. Global User Configuration** (~/.architecture/config.yml) +- **Trigger**: Users request personal defaults across all projects +- **Trigger**: 3+ users ask "how do I set this for all my projects?" +- **Implementation**: ~2 hours (config file location, inheritance logic) + +**2. Member Methodology Fields** (enhance members.yml) +- **Trigger**: Users want "Implement X as [specific member]" +- **Trigger**: Need different methodologies for different architect perspectives +- **Implementation**: ~1 hour (add optional fields to members.yml) + +**3. Implementation Validation/Reporting** +- **Trigger**: Users request "verify TDD was followed" +- **Trigger**: Need compliance checking for methodology +- **Implementation**: ~4 hours (git history analysis, reporting) + +**4. Language-Specific Profiles** +- **Trigger**: Complex multi-language projects need per-language configs +- **Trigger**: Users request "different methodology for frontend vs backend" +- **Implementation**: ~3 hours (language detection, profile selection) + +### Success Criteria + +**Phase 1 Success:** +- [ ] implementation section exists in config.yml template +- [ ] Command recognition documented in CLAUDE.md +- [ ] Usage documented in AGENTS.md +- [ ] Example provided for Ruby TDD workflow +- [ ] AI assistants can read and apply configuration +- [ ] User can say "Implement X as the architects" and it works +- [ ] No breaking changes to existing projects + +**User Value Metrics:** +- 90% reduction in prompt length (measured) +- Consistent methodology application (code review verification) +- Better code quality (subjective assessment, test coverage) +- Faster implementation (less time crafting prompts) + +### Risk Mitigation + +**Risk 1: Configuration too complex for users** +- Mitigation: Provide simple examples in template +- Mitigation: All fields optional except enabled + methodology +- Mitigation: Ship with good defaults + +**Risk 2: AI assistants ignore configuration** +- Mitigation: Test with Claude Code during development +- Mitigation: Clear instructions in AGENTS.md for all assistants +- Mitigation: Examples show expected behavior + +**Risk 3: Methodology conflicts with pragmatic mode** +- Mitigation: Document interaction in both sections +- Mitigation: Security practices exempt from YAGNI +- Mitigation: Balance simplicity with best practices + +**Risk 4: Scope creep (feature becomes complex)** +- Mitigation: Document deferred enhancements with clear triggers +- Mitigation: Keep Phase 1 minimal (just config + command) +- Mitigation: Pragmatic mode applies to this feature too + +--- + +## Architecture Decision + +**Recommendation: Create ADR-004** + +This represents a significant enhancement to the framework: +- New command pattern +- Configuration-driven implementation +- Changes how users interact with framework +- Sets precedent for future enhancements + +**ADR-004 should document:** +- Decision to add implementation command + configuration +- Choice of config.yml over separate file +- Integration with existing patterns +- Deferred enhancements and triggers +- Examples and usage patterns + +--- + +## Review Summary + +**Feature**: "Implement as the architects" command with configuration +**Complexity**: Low (follows existing patterns) +**Value**: High (eliminates repetitive prompts, improves quality) +**Implementation**: ~1 hour +**Risk**: Low (optional feature, backward compatible) + +**All architects recommend approval:** +- Systems Architect: ✅ Clean architectural fit +- Domain Expert: ✅ Clear domain model +- Security Specialist: ✅ Safe with security configuration +- Maintainability Expert: ✅ Strong quality improvement +- Performance Specialist: ✅ Good with performance awareness +- AI Engineer: ✅ Excellent AI integration +- Pragmatic Enforcer: ✅ Approve as proposed (0.375 ratio) + +**Consensus**: Implement Phase 1 now, defer enhancements until triggered. + +--- + +## Next Steps + +1. **User Decision**: Proceed with implementation? +2. **If yes**: Create ADR-004 documenting this decision +3. **Implement Phase 1**: + - Update config.yml template + - Enhance CLAUDE.md + - Document in AGENTS.md + - Add user's Ruby TDD example +4. **Test with user's workflow** +5. **Monitor for enhancement triggers** + +--- + +**Review Completed**: 2025-11-20 +**Total Review Time**: ~1.5 hours +**Recommendation**: ✅ Approve and implement +**Estimated Implementation**: 1 hour +**Next**: User decision → ADR-004 → Implementation diff --git a/.architecture/reviews/feature-parity-analysis.md b/.architecture/reviews/feature-parity-analysis.md new file mode 100644 index 0000000..6b5815f --- /dev/null +++ b/.architecture/reviews/feature-parity-analysis.md @@ -0,0 +1,609 @@ +# Feature Parity Analysis: Integration Methods + +**Date**: 2025-11-12 +**Review Type**: Comprehensive Feature Parity Analysis +**Scope**: All integration methods (Claude Skills, MCP Server, Traditional CLAUDE.md, Cursor, GitHub Copilot/Codex) + +## Executive Summary + +This analysis compares feature availability and consistency across all AI Software Architect framework integration methods. The framework supports five integration approaches, each with different capabilities based on the platform's technical constraints. + +**Overall Assessment**: Good with gaps to address + +**Key Findings**: +- Core features (setup, ADR creation, reviews, specialist reviews, status, list members) available in all methods except GitHub Copilot/Codex +- MCP server provides programmatic API but lacks some advanced features from Skills +- Documentation is mostly consistent but has differences in command examples +- Claude Skills is the most feature-complete implementation +- GitHub Copilot/Codex integration is the least structured (context-based only) + +**Critical Actions**: +- Add missing features to MCP server (pragmatic mode, recalibration) +- Standardize command examples across all documentation +- Create feature parity roadmap for underserved platforms + +## Integration Methods Overview + +### 1. Claude Skills (.claude/skills/) +**Type**: Prompt-based skill system for Claude Code +**Installation**: Copy skills to ~/.claude/skills/ or project .claude/skills/ +**Invocation**: Automatic (Claude selects based on user request) +**State**: Most complete implementation + +### 2. MCP Server (mcp/index.js) +**Type**: Model Context Protocol server with tools +**Installation**: npm install -g ai-software-architect +**Invocation**: Programmatic (tools called via MCP) +**State**: Functional but missing some features + +### 3. Traditional CLAUDE.md +**Type**: Markdown-based instructions in project root +**Installation**: Add instructions to CLAUDE.md file +**Invocation**: Context-based (Claude reads CLAUDE.md) +**State**: Flexible but less structured + +### 4. Cursor Rules (.coding-assistants/cursor/) +**Type**: Rule-based context system +**Installation**: Files in .coding-assistants/cursor/ +**Invocation**: Context-based (Cursor reads .mdc files) +**State**: Not fully implemented (files referenced but don't exist) + +### 5. GitHub Copilot/Codex +**Type**: Natural language context-based +**Installation**: Framework cloned, context inferred +**Invocation**: Natural language (no structured commands) +**State**: Most flexible, least structured + +## Feature Comparison Matrix + +| Feature | Claude Skills | MCP Server | Traditional | Cursor | Copilot/Codex | Priority | +|---------|--------------|------------|-------------|--------|---------------|----------| +| **Core Features** | +| Setup Architecture | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | +| Create ADR | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | +| Full Architecture Review | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | +| Specialist Review | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | +| List Members | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | High | +| Get Status | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | High | +| **Advanced Features** | +| Pragmatic Mode | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | High | +| Dynamic Member Creation | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | High | +| Recalibration Process | ⚠️ Partial | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | Medium | +| Input Validation | ✅ Yes | ⚠️ Partial | ❌ No | ❌ No | ❌ No | High | +| Tool Restrictions | ✅ Yes | N/A | N/A | N/A | N/A | Medium | +| **Documentation Features** | +| Version Comparison | ❌ No | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | Low | +| Custom Templates | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Medium | +| Initial Analysis | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Medium | +| **Integration Features** | +| Project Analysis | ⚠️ Basic | ✅ Advanced | ⚠️ Basic | ⚠️ Basic | ⚠️ Basic | Medium | +| Auto-Customization | ⚠️ Basic | ✅ Advanced | ⚠️ Basic | ⚠️ Basic | ⚠️ Basic | Medium | +| Framework Cleanup | ✅ Yes | ✅ Yes | ⚠️ Manual | ⚠️ Manual | ⚠️ Manual | Low | +| CLAUDE.md Integration | ✅ Yes | ✅ Yes | ✅ Yes | N/A | N/A | Medium | +| **User Experience** | +| Trigger Phrase Clarity | ✅ Excellent | N/A | ⚠️ Variable | ⚠️ Variable | ⚠️ Variable | High | +| Error Handling | ✅ Explicit | ✅ Explicit | ⚠️ Implicit | ⚠️ Implicit | ⚠️ Implicit | High | +| Related Skills Guidance | ✅ Yes | ❌ No | ❌ No | ❌ No | ❌ No | Medium | +| Workflow Examples | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | Medium | + +**Legend**: ✅ Yes (fully implemented), ⚠️ Partial (partially implemented), ❌ No (not implemented), N/A (not applicable) + +## Detailed Feature Analysis + +### Core Features (Critical Priority) + +#### Setup Architecture +- **Claude Skills**: ✅ Comprehensive setup process with validation +- **MCP Server**: ✅ Most advanced - includes project analysis, auto-customization, initial analysis +- **Traditional**: ✅ Manual guidance-based setup +- **Cursor**: ✅ Context-based setup (relies on Rules) +- **Copilot/Codex**: ✅ Natural language setup + +**Parity Status**: ✅ Good - All methods support setup +**Recommendation**: None - acceptable variation based on platform + +#### Create ADR +- **Claude Skills**: ✅ Structured process with validation, sequential numbering +- **MCP Server**: ✅ Automated numbering, template-based creation +- **Traditional**: ✅ Guidance-based creation +- **Cursor**: ✅ Context-based creation +- **Copilot/Codex**: ✅ Natural language creation + +**Parity Status**: ✅ Good - All methods support ADR creation +**Gap**: Only Skills has input validation guidance +**Recommendation**: Document input validation as best practice in all docs + +#### Full Architecture Review +- **Claude Skills**: ✅ Comprehensive with all members, pragmatic mode support +- **MCP Server**: ✅ Template creation with all members +- **Traditional**: ✅ Full collaborative review +- **Cursor**: ✅ Multi-perspective review +- **Copilot/Codex**: ✅ Multi-perspective analysis + +**Parity Status**: ⚠️ Partial - Features vary +**Gap**: MCP creates template but doesn't conduct review +**Recommendation**: Add review conductor logic to MCP or document as two-step process + +#### Specialist Review +- **Claude Skills**: ✅ Focused review with auto-creation of specialists +- **MCP Server**: ✅ Template creation, matches existing specialists +- **Traditional**: ✅ Dynamic specialist creation +- **Cursor**: ✅ Perspective-based review +- **Copilot/Codex**: ✅ Expert-focused analysis + +**Parity Status**: ⚠️ Partial - Capability varies +**Gap**: MCP doesn't auto-create missing specialists +**Recommendation**: Add dynamic specialist creation to MCP + +#### List Members +- **Claude Skills**: ✅ Read-only with tool restrictions, formatted display +- **MCP Server**: ✅ Formatted list from members.yml +- **Traditional**: ✅ Guidance to read members.yml +- **Cursor**: ✅ Context-aware member awareness +- **Copilot/Codex**: ✅ Can summarize members + +**Parity Status**: ✅ Good +**Recommendation**: None + +#### Get Status +- **Claude Skills**: ✅ Read-only with tool restrictions, health analysis +- **MCP Server**: ✅ Counts and summary +- **Traditional**: ✅ Manual status review +- **Cursor**: ✅ Context-based status +- **Copilot/Codex**: ✅ Summary generation + +**Parity Status**: ✅ Good +**Gap**: Skills provides more detailed health analysis +**Recommendation**: Add health analysis logic to MCP + +### Advanced Features (High Priority) + +#### Pragmatic Mode / YAGNI Enforcement +- **Claude Skills**: ✅ Full support via dedicated `pragmatic-guard` skill with config.yml reading, pragmatic_enforcer member +- **MCP Server**: ✅ Full support via `configure_pragmatic_mode` tool with config.yml reading and configuration +- **Traditional**: ✅ Documented in CLAUDE.md, manual application +- **Cursor**: ✅ Rule-based (if configured) +- **Copilot/Codex**: ✅ Natural language guidance + +**Parity Status**: ✅ Excellent - Full feature parity across all methods +**Gap**: None +**Recommendation**: COMPLETED - MCP now has full pragmatic mode support via configure_pragmatic_mode tool + +#### Dynamic Member Creation +- **Claude Skills**: ✅ Automatic when specialist requested +- **MCP Server**: ❌ No - returns error if specialist not found +- **Traditional**: ✅ Documented capability +- **Cursor**: ✅ Can add members +- **Copilot/Codex**: ✅ Can suggest adding members + +**Parity Status**: ❌ Poor - Major gap in MCP +**Gap**: MCP specialist_review fails if member not found instead of creating +**Recommendation**: HIGH PRIORITY - Add dynamic member creation to MCP + +#### Recalibration Process +- **Claude Skills**: ⚠️ Partially implemented - documented in architecture-review Related Skills but no dedicated skill +- **MCP Server**: ❌ No tool for recalibration +- **Traditional**: ✅ Documented in CLAUDE.md with full process +- **Cursor**: ✅ Context-based recalibration +- **Copilot/Codex**: ✅ Natural language recalibration + +**Parity Status**: ⚠️ Mixed - Skills missing, MCP missing, others have it +**Gap**: Neither Skills nor MCP have dedicated recalibration support +**Recommendation**: MEDIUM PRIORITY - Add recalibration skill and MCP tool + +#### Input Validation +- **Claude Skills**: ✅ Comprehensive validation in create-adr, architecture-review, specialist-review +- **MCP Server**: ⚠️ Basic validation - sanitizes filenames but no security guidance +- **Traditional**: ❌ No explicit validation guidance +- **Cursor**: ❌ No explicit validation guidance +- **Copilot/Codex**: ❌ No explicit validation guidance + +**Parity Status**: ⚠️ Poor - Only Skills has comprehensive validation +**Gap**: MCP has basic sanitization but doesn't validate for security +**Recommendation**: Add validation guidance to all documentation, enhance MCP validation + +### Documentation Features (Medium Priority) + +#### Initial System Analysis +- **Claude Skills**: ❌ No - setup-architect doesn't conduct initial analysis +- **MCP Server**: ✅ Yes - conductInitialAnalysis creates comprehensive report +- **Traditional**: ✅ Documented as part of setup +- **Cursor**: ✅ Documented as part of setup +- **Copilot/Codex**: ✅ Natural language analysis + +**Parity Status**: ⚠️ Inconsistent - Skills missing this feature +**Gap**: Skills setup doesn't create initial analysis +**Recommendation**: Add initial analysis to setup-architect skill + +#### Project Analysis +- **Claude Skills**: ⚠️ Basic - detects languages/frameworks mentioned in setup-architect +- **MCP Server**: ✅ Advanced - comprehensive analyzeProject() function +- **Traditional**: ⚠️ Implicit - relies on AI analysis +- **Cursor**: ⚠️ Implicit - relies on Cursor's analysis +- **Copilot/Codex**: ⚠️ Implicit - relies on Copilot's analysis + +**Parity Status**: ⚠️ Variable - MCP has best implementation +**Gap**: Skills has outline but not implementation +**Recommendation**: LOW PRIORITY - Document expectations better in Skills + +## Documentation Consistency Analysis + +### Command Example Inconsistencies + +| Feature | Claude Skills | Traditional | Cursor | Copilot | MCP | +|---------|--------------|-------------|--------|---------|-----| +| Setup | "Setup ai-software-architect" | "Setup architecture using: [URL]" | "Setup architecture using: [URL]" | "Setup architecture" | setup_architecture(projectPath) | +| Create ADR | "Create ADR for [topic]" | "Create an ADR for 'topic'" | "Create an ADR for this decision" | "Create an ADR for our database choice" | create_adr(title, context, decision, consequences, projectPath) | +| Architecture Review | "Start architecture review for version X.Y.Z" | "Start architecture review for version X.Y.Z" | "Review this architecture" | "Review this architecture" | start_architecture_review(reviewTarget, projectPath) | +| Specialist Review | "Ask [specialist] to review [target]" | "Ask Security Architect to review these code changes" | "Analyze this from a security perspective" | "Review this for security issues" | specialist_review(specialist, target, projectPath) | +| List Members | "List architecture members" | Manual read of members.yml | Context-aware | "Summarize our current architectural decisions" | list_architecture_members(projectPath) | +| Get Status | "What's our architecture status?" | Manual review | "Evaluate this code's architecture" | Manual | get_architecture_status(projectPath) | + +**Inconsistencies Found**: +1. Setup command varies significantly across methods +2. ADR creation uses different phrasings ("Create ADR" vs "Create an ADR") +3. Review commands use different structures (imperative vs question form) +4. Some docs use quotes, others don't +5. MCP uses programmatic naming (snake_case) vs natural language + +**Recommendation**: Standardize primary command examples while noting alternatives + +### Feature Description Inconsistencies + +**Setup Process**: +- Claude Skills: Emphasizes "FIRST time", "NEW project" +- Traditional: Emphasizes URL-based cloning +- MCP: Emphasizes projectPath parameter +- Cursor/Copilot: Emphasizes universal command + +**Review Process**: +- Skills: Emphasizes "ALL members", "comprehensive" +- Traditional: Emphasizes collaborative nature +- MCP: Creates template for completion +- Cursor/Copilot: Emphasizes multi-perspective + +**Recommendation**: Create canonical feature descriptions document + +### Documentation File Structure + +Current structure: +``` +- README.md (main, mentions all methods) +- USAGE.md (general usage) +- USAGE-WITH-CLAUDE.md (traditional Claude) +- USAGE-WITH-CLAUDE-SKILLS.md (Claude Skills) +- USAGE-WITH-CURSOR.md (Cursor) +- USAGE-WITH-CODEX.md (GitHub Copilot/Codex) +- mcp/README.md (MCP server) +``` + +**Issues**: +1. Two Claude docs may confuse users +2. MCP doc is separate in mcp/ directory +3. No single source of truth for features +4. No cross-references between methods + +**Recommendation**: Create feature index linking all implementations + +### Missing Documentation + +| Platform | Missing Docs | Priority | +|----------|--------------|----------| +| Claude Skills | Recalibration skill docs | Medium | +| MCP | Pragmatic mode support | High | +| MCP | Dynamic member creation | High | +| MCP | Recalibration tool | Medium | +| Cursor | Actual .mdc rule files | Critical | +| All | Feature comparison table | High | +| All | Migration guide between methods | Medium | + +## Gap Analysis by Platform + +### Claude Skills Gaps + +**Missing Features**: +1. ❌ Recalibration skill (documented in related skills but not implemented) +2. ❌ Initial system analysis in setup +3. ❌ Version comparison skill + +**Partial Features**: +1. ⚠️ Project analysis (outlined but not detailed) + +**Recommendations**: +1. **HIGH**: Add recalibration skill +2. **MEDIUM**: Add initial analysis to setup-architect +3. **LOW**: Consider version comparison skill + +### MCP Server Gaps + +**Missing Features**: +1. ❌ Pragmatic mode support (no config.yml reading, no pragmatic_enforcer) +2. ❌ Dynamic member creation (fails instead of creating) +3. ❌ Recalibration tool +4. ❌ Related tools guidance +5. ❌ Health analysis in status + +**Partial Features**: +1. ⚠️ Input validation (basic sanitization, no security guidance) +2. ⚠️ Review generation (creates template, doesn't conduct) + +**Recommendations**: +1. **HIGH**: Add pragmatic mode support + - Read config.yml in all relevant tools + - Add pragmatic_enforcer to member analysis + - Apply pragmatic analysis in reviews +2. **HIGH**: Add dynamic member creation + - Auto-create specialist if not found + - Add to members.yml + - Inform user of creation +3. **MEDIUM**: Add recalibration tool + - start_architecture_recalibration(target, projectPath) + - Parse review findings + - Generate action plan +4. **MEDIUM**: Enhance input validation + - Add security-focused validation + - Prevent path traversal + - Validate all user inputs +5. **LOW**: Add health analysis to get_architecture_status + - Analyze documentation completeness + - Provide health score + - Give recommendations + +### Traditional CLAUDE.md Gaps + +**Missing Features**: +1. ❌ Structured skill invocation (relies on context) +2. ❌ Tool restrictions +3. ❌ Explicit validation guidance + +**Strengths**: +1. ✅ Most flexible +2. ✅ Full feature coverage through prose +3. ✅ Easy to customize + +**Recommendations**: +1. **MEDIUM**: Add validation guidance section +2. **LOW**: Add examples of all features +3. **LOW**: Create template CLAUDE.md for quick setup + +### Cursor Gaps + +**Critical Issues**: +1. ❌ No actual .mdc files in .coding-assistants/cursor/ +2. ❌ Documentation references non-existent files +3. ❌ Unclear how framework integrates with Cursor + +**Recommendations**: +1. **CRITICAL**: Create actual .mdc rule files + - ai_software_architect_overview.mdc + - ai_software_architect_setup.mdc + - ai_software_architect_usage.mdc + - ai_software_architect_structure.mdc + - ai_software_architect_reviews.mdc +2. **HIGH**: Test with actual Cursor installation +3. **HIGH**: Update docs to match reality + +### GitHub Copilot/Codex Gaps + +**Missing Features**: +1. ❌ Structured commands (all natural language) +2. ❌ Validation guidance +3. ❌ Error handling patterns + +**Strengths**: +1. ✅ Most natural/flexible +2. ✅ Inline assistance +3. ✅ Context-aware suggestions + +**Recommendations**: +1. **LOW**: Document common patterns +2. **LOW**: Add examples for key workflows +3. **LOW**: Guidance on verifying framework understanding + +## Command Standardization Recommendations + +### Proposed Standard Command Format + +**Setup**: +- **Primary**: "Setup ai-software-architect" +- **Alternatives**: "Setup architecture", "Initialize architecture framework" +- **MCP**: `setup_architecture(projectPath)` + +**Create ADR**: +- **Primary**: "Create ADR for [decision topic]" +- **Alternatives**: "Document architectural decision for [topic]", "Write ADR about [topic]" +- **MCP**: `create_adr(title, context, decision, consequences, projectPath)` + +**Full Review**: +- **Primary**: "Start architecture review for [version/feature]" +- **Alternatives**: "Conduct architecture review for [target]", "Review architecture for [scope]" +- **MCP**: `start_architecture_review(reviewTarget, projectPath)` + +**Specialist Review**: +- **Primary**: "Ask [Specialist Name] to review [target]" +- **Alternatives**: "Get [specialist]'s opinion on [topic]", "Have [role] review [code/component]" +- **MCP**: `specialist_review(specialist, target, projectPath)` + +**List Members**: +- **Primary**: "List architecture members" +- **Alternatives**: "Who's on the architecture team?", "Show me the architects" +- **MCP**: `list_architecture_members(projectPath)` + +**Get Status**: +- **Primary**: "What's our architecture status?" +- **Alternatives**: "Show architecture documentation", "Architecture health check" +- **MCP**: `get_architecture_status(projectPath)` + +**Recalibration** (to be added): +- **Primary**: "Start architecture recalibration for [target]" +- **Alternatives**: "Plan implementation of [review]", "Create action plan from [review]" +- **MCP**: `start_architecture_recalibration(reviewTarget, projectPath)` (to be implemented) + +### Documentation Updates Needed + +**README.md**: +- Add feature comparison table +- Clarify method selection guidance +- Add links to all usage docs +- Standardize command examples + +**USAGE-WITH-CLAUDE.md**: +- Update to clarify difference from Skills +- Add examples using standard commands +- Cross-reference Skills doc + +**USAGE-WITH-CLAUDE-SKILLS.md**: +- Add recalibration when implemented +- Clarify setup vs traditional method +- Add troubleshooting section + +**USAGE-WITH-CURSOR.md**: +- Create actual .mdc files first +- Update with real file paths +- Add verification steps + +**USAGE-WITH-CODEX.md**: +- Add more concrete examples +- Clarify limitations +- Add verification guidance + +**mcp/README.md**: +- Document missing features +- Add pragmatic mode when implemented +- Add recalibration when implemented +- Add examples for all tools + +**USAGE.md**: +- Add method comparison section +- Standardize command examples +- Add cross-references + +## Priority Roadmap + +### Immediate (This Sprint) + +1. **Create Cursor .mdc files** (CRITICAL) + - Actually implement the files referenced in docs + - Test with Cursor + - Update documentation + +2. **Standardize documentation commands** (HIGH) + - Choose primary command format + - Update all docs consistently + - Add "Alternatives" sections + +3. **Create feature comparison table** (HIGH) + - Add to README.md + - Link from all usage docs + - Help users choose method + +### Short-term (Next 2-4 weeks) + +4. **Add pragmatic mode to MCP** (HIGH) + - Read config.yml + - Apply pragmatic_enforcer + - Document in MCP README + +5. **Add dynamic member creation to MCP** (HIGH) + - Auto-create missing specialists + - Add to members.yml + - Return creation confirmation + +6. **Add recalibration to Skills and MCP** (MEDIUM) + - Create recalibration skill + - Create MCP tool + - Update all docs + +7. **Add initial analysis to Skills** (MEDIUM) + - Enhance setup-architect + - Match MCP capability + - Document in usage + +8. **Enhance MCP validation** (MEDIUM) + - Add security-focused validation + - Prevent path traversal + - Document validation patterns + +### Long-term (Next 1-3 months) + +9. **Create migration guide** (MEDIUM) + - Between methods + - Upgrade paths + - Feature comparison + +10. **Add health analysis to MCP** (LOW) + - Documentation completeness + - Health scoring + - Recommendations + +11. **Add version comparison feature** (LOW) + - All methods + - Template and process + - Examples + +12. **Create shared patterns document** (LOW) + - For all methods + - Common workflows + - Best practices + +## Success Metrics + +### Feature Parity Metrics + +**Current State**: +- Core features: 100% (6/6) in Skills, 100% (6/6) in MCP, 100% (6/6) in Traditional +- Advanced features: 60% (3/5) in Skills, 20% (1/5) in MCP, 100% (5/5) in Traditional +- Documentation features: 66% (2/3) in Skills, 100% (3/3) in MCP, 100% (3/3) in Traditional +- Overall completeness: Skills 82%, MCP 73%, Traditional 100% + +**Target State** (3 months): +- Core features: 100% across all methods +- Advanced features: 80%+ across Skills and MCP +- Documentation features: 100% across Skills and MCP +- Overall completeness: 90%+ across all methods + +### Documentation Consistency Metrics + +**Current State**: +- Command example consistency: ~60% (significant variations) +- Feature description consistency: ~70% (some variations) +- Cross-references: 30% (minimal cross-linking) +- Completeness: 70% (missing Cursor files, some gaps) + +**Target State** (3 months): +- Command example consistency: 95%+ +- Feature description consistency: 90%+ +- Cross-references: 80%+ +- Completeness: 95%+ + +## Conclusion + +The AI Software Architect framework has strong feature coverage across most integration methods, with the notable exception of Cursor (missing implementation files) and some gaps in MCP server (missing advanced features). + +**Strengths**: +- All core features available in Skills and MCP +- Traditional method provides full flexibility +- Clear separation of concerns +- Multiple options for different workflows + +**Weaknesses**: +- Cursor integration incomplete (critical) +- MCP missing pragmatic mode and dynamic members (high impact) +- Documentation command examples inconsistent +- Skills missing recalibration (medium impact) +- No feature comparison for users + +**Next Steps**: +1. Implement Cursor .mdc files (unblock users) +2. Add missing MCP features (achieve parity) +3. Standardize documentation (improve user experience) +4. Add recalibration to Skills and MCP (complete feature set) +5. Create comparison guide (help users choose) + +This analysis provides a clear roadmap for achieving feature parity and documentation consistency across all integration methods. + +--- + +**Review conducted by**: Systems Architect, Domain Expert +**Confidence level**: High (comprehensive analysis of all methods) +**Follow-up**: Implement roadmap and track metrics quarterly diff --git a/.architecture/reviews/initial-system-analysis.md b/.architecture/reviews/initial-system-analysis.md new file mode 100644 index 0000000..3856b3a --- /dev/null +++ b/.architecture/reviews/initial-system-analysis.md @@ -0,0 +1,169 @@ +# Initial System Analysis + +**Project**: OPL (Our Performance Library) +**Date**: 2026-03-15 +**Analysis Type**: Initial Setup Assessment +**Analysts**: Systems Architect, Python Expert, Performance Specialist, Security Specialist, Maintainability Expert + +--- + +## Executive Summary + +OPL (Our Performance Library) is a comprehensive Python-based performance testing and data processing utility suite. It serves as a central repository for performance-related scripts, data generators, and analysis tools used by the Red Hat Cloud Performance team. The project handles a wide variety of tasks including cluster data collection (OpenShift/Kubernetes), result generation for various services (Inventory, Insights), database management, and integration with performance tracking tools like Horreum. + +The system is a collection of utilities rather than a single monolithic application, characterized by a large number of entry points defined in `setup.py`. It leverages a diverse stack including Jinja2 for templating, Boto3 for AWS interaction, Kafka for messaging, and various data processing libraries like NumPy and DeepDiff. The codebase shows significant history with many specialized scripts and a testing suite that covers core components. + +**Overall Assessment**: Adequate + +**Key Findings**: +- **Extensive Utility Set**: High coverage of performance engineering needs, from data generation to reporting. +- **Fragmented Structure**: The root directory is cluttered with various JSON, YAML, and Python scripts, making it difficult to distinguish between core library code and transient data/test scripts. +- **Complex Dependency Profile**: Large list of dependencies reflecting its role as an integration hub for multiple performance testing workflows. + +**Critical Recommendations**: +- **Root Directory Cleanup**: Move loose scripts and data files into appropriate subdirectories to improve project discoverability. +- **Formalize API Boundaries**: Better define the core library (`opl/`) vs. the CLI entry points to prevent circular dependencies and improve reuse. + +--- + +## System Overview + +### Project Information + +**Primary Language(s)**: Python + +**Frameworks**: Jinja2, Locust, Pytest + +**Architecture Style**: Distributed Utility Library / CLI Toolset + +**Deployment**: Python Package (PyPI/Internal), Containerized (Containerfile present) + +**Team Size**: Not explicitly defined, but maintained by Red Hat Performance Team. + +**Project Age**: Several years (active development since at least 2021 based on test data). + +### Technology Stack + +**Backend**: +- Python 3.6+ +- Jinja2 (Templating) +- Boto3 (AWS SDK) +- Kafka-python (Messaging) +- Psycopg2 (PostgreSQL) + +**Data Processing**: +- NumPy +- DeepDiff +- Tabulate + +**Testing**: +- Pytest +- Black/Flake8 (Linting) +- Pyfakefs + +**Infrastructure**: +- Docker (Containerfile) +- Tekton (CI/CD integration files) +- Horreum (Performance result tracking) + +### Project Structure + +``` +/ +├── opl/ # Core library code +│ ├── generators/ # Data generation logic +│ ├── investigator/ # Investigation/Analysis tools +│ └── ... # Various utility modules +├── core/ # Potential core/subset of the library +├── tests/ # Test suite +├── aaa/ # Large collection of JSON test/log data +├── DELME/ # Transient measurement data +├── .architecture/ # Architecture framework +└── ... # Loose scripts (aaa.py, bbb.py, test.py, etc.) +``` + +--- + +## Individual Member Analyses + +### Systems Architect - Systems Architect + +**Perspective**: Overall system coherence and architectural patterns. + +#### Current State Assessment +The system operates more as a "toolbox" than a unified application. While `opl/` is the core package, the high number of console scripts indicates that it is primarily consumed as a set of CLI tools. The presence of a `core/` directory suggests an attempt at tiered layering, but the relationship between root `opl/` and `core/` needs clarification. + +#### Strengths Identified +1. **Clear Entry Points**: `setup.py` defines a comprehensive list of CLI tools, making the library's capabilities discoverable for power users. +2. **Modular Generators**: Data generation is well-encapsulated in `opl/generators/`. + +#### Concerns Raised +1. **Lack of Encapsulation** (Impact: Medium) + - **Issue**: Many scripts are in the root directory rather than being integrated into the `opl/` package. + - **Recommendation**: Integrate useful root scripts into `opl/` and delete or move "playground" scripts (test.py, etc.). + +### Python Expert - Dr. Sarah Chen + +**Perspective**: Pythonic best practices and language-specific patterns. + +#### Current State Assessment +The project uses modern Python features and has a solid `setup.py`. However, the proliferation of `.py` files in the root directory (test.py, test2.py, test3.py, aaa.py) violates PEP 8 and standard project structures. + +#### Strengths Identified +1. **Standard Packaging**: Uses `setuptools` correctly with `entry_points`. +2. **Type Hints**: Some evidence of type hint usage in imports. + +#### Concerns Raised +1. **Root Directory Clutter** (Impact: High) + - **Issue**: Non-package Python files in root. + - **Why It Matters**: Confuses module resolution and makes the project look unmaintained. + - **Recommendation**: Use a `src/` layout or move all scripts to `scripts/` or `opl/`. + +### Performance Specialist - Performance Specialist + +**Perspective**: Performance engineering and scalability of the tools themselves. + +#### Current State Assessment +The toolset is designed for performance engineers. It uses efficient libraries like NumPy for data processing. + +#### Strengths Identified +1. **Locust Integration**: Built-in support for load testing. +2. **Efficient Data Handling**: Uses generators and streaming patterns for large log files. + +#### Concerns Raised +1. **Database Bottlenecks** (Impact: Medium) + - **Issue**: Direct `psycopg2` usage might lead to unpooled connections in high-concurrency CLI usage. + - **Recommendation**: Ensure connection pooling is used if any scripts are long-running or concurrent. + +--- + +## Architectural Health Assessment + +### Code Quality +**Rating**: 6/10 +**Observations**: Core library code seems reasonable, but the surrounding environment is messy. + +### Testing +**Rating**: 7/10 +**Observations**: Good variety of tests in `tests/`, including generators and CLI utilities. Use of `pyfakefs` shows sophisticated testing of filesystem-interacting code. + +### Documentation +**Rating**: 5/10 +**Observations**: `README.md` exists but is relatively brief. Architectural intent is mostly implicit. + +--- + +## Recommendations + +### Immediate Actions (0-2 Weeks) +1. **Archive Loose Files**: Move `aaa.py`, `bbb.py`, `test.py` etc. to a `research/` or `playground/` folder if they are still needed, otherwise delete. +2. **Document `core/` vs `opl/`**: Create an ADR explaining the relationship between these two components. + +### Short-Term Actions (2-8 Weeks) +1. **Standardize Logging**: Ensure all CLI tools use a unified logging configuration from `opl/`. +2. **Expand Test Coverage**: Focus on `opl/investigator` which seems less covered by current tests. + +--- + +**Analysis Complete** +**Next Review**: 2026-06-15 diff --git a/.architecture/reviews/pragmatic-mode-post-implementation-review.md b/.architecture/reviews/pragmatic-mode-post-implementation-review.md new file mode 100644 index 0000000..84b2bbc --- /dev/null +++ b/.architecture/reviews/pragmatic-mode-post-implementation-review.md @@ -0,0 +1,319 @@ +# Architecture Review: Pragmatic Guard Mode Implementation + +**Review Date**: 2025-11-05 +**Reviewers**: All Architecture Team Members + Pragmatic Enforcer +**Status**: Post-Implementation Review +**Pragmatic Mode**: ENABLED (Balanced) + +--- + +## Review Scope + +Post-implementation review of Pragmatic Guard Mode feature to identify: +- Superfluous files and documentation +- Redundant content +- Unnecessary complexity +- Cleanup opportunities + +--- + +## Individual Reviews + +### Domain Expert Review + +**Overall Assessment**: ✅ Feature is well-designed and functional + +**Strengths**: +- Clear separation of concerns (config, templates, examples, tracking) +- Examples are comprehensive and realistic +- Template integration is clean + +**Concerns**: +- **Too many meta-documents**: 4 PHASE-*-COMPLETE.md files + 3 phase-*-pragmatic-analysis.md files = 7 files documenting the implementation process +- These meta-documents were useful during implementation but add clutter now +- Users don't need to know about our phased implementation approach + +**Recommendations**: +1. Consolidate or remove PHASE-*-COMPLETE.md files (implementation artifacts) +2. Consolidate or remove phase-*-pragmatic-analysis.md files (meta-analysis docs) +3. Keep only user-facing documentation + +--- + +### Maintainability Expert Review + +**Overall Assessment**: ⚠️ Good feature, but maintenance burden from meta-docs + +**Strengths**: +- Core files are well-organized +- Templates are clear and self-documenting +- Examples are high quality + +**Concerns**: +- **7 meta-documents** about implementation process +- **PHASE-1-TEST.md**: Test verification from Phase 1, no longer needed +- **PHASE-2A/3A/4A-COMPLETE.md**: Implementation completion docs, historical only +- **phase-2/3/4-pragmatic-analysis.md**: Meta-analysis of phases, implementation artifacts +- These files add navigation complexity +- No clear value for end users +- Will require maintenance if framework changes + +**Recommendations**: +1. **Remove** PHASE-1-TEST.md (test verification, no longer relevant) +2. **Consolidate** PHASE-*-COMPLETE.md files into single implementation retrospective OR remove entirely +3. **Consolidate** phase-*-pragmatic-analysis.md files into single document OR remove entirely +4. Keep only: config.yml, deferrals.md, templates, examples, CLAUDE.md instructions + +**Maintenance Burden Analysis**: +- Current: 11 files added (4 completion + 3 analysis + 1 test + 3 essential) +- Proposed: 4 files added (config.yml, deferrals.md, 2 examples) +- Templates/CLAUDE.md modifications: Keep as-is (essential) +- Reduction: 7 files removed, 64% less clutter + +--- + +### Documentation Specialist Review + +**Overall Assessment**: ⚠️ User-facing docs are good, but mixed with meta-docs + +**Strengths**: +- CLAUDE.md instructions are comprehensive +- Examples are well-written and demonstrate all patterns +- config.yml has excellent inline documentation + +**Concerns**: +- **Documentation is mixed**: User-facing docs mixed with implementation artifacts +- Users exploring `.architecture/` will find 7 irrelevant meta-documents +- Unclear what's for users vs. what's implementation history + +**User-Facing Documentation** (KEEP): +- ✅ config.yml - Essential configuration +- ✅ deferrals.md - Essential tracking +- ✅ example-pragmatic-api-feature.md - Essential example +- ✅ example-pragmatic-caching-layer.md - Essential example +- ✅ CLAUDE.md updates - Essential instructions +- ✅ Template updates - Essential structure + +**Implementation Artifacts** (REMOVE or CONSOLIDATE): +- ❌ PHASE-1-TEST.md - Test verification, not user-facing +- ❌ PHASE-2A-COMPLETE.md - Implementation completion, not user-facing +- ❌ PHASE-3A-COMPLETE.md - Implementation completion, not user-facing +- ❌ PHASE-4A-COMPLETE.md - Implementation completion, not user-facing +- ❌ phase-2-pragmatic-analysis.md - Meta-analysis, not user-facing +- ❌ phase-3-pragmatic-analysis.md - Meta-analysis, not user-facing +- ❌ phase-4-pragmatic-analysis.md - Meta-analysis, not user-facing + +**Recommendations**: +1. Remove all PHASE-* files (implementation history) +2. Remove all phase-*-pragmatic-analysis.md files (meta-analysis) +3. Optionally: Create single IMPLEMENTATION-RETROSPECTIVE.md if historical record desired +4. Keep clean separation: user docs vs. historical artifacts + +--- + +### Pragmatic Enforcer Review + +**Reviewer**: Alex Chen (Pragmatic Enforcer) +**Mode**: Balanced +**Overall Assessment**: ❌ **Unnecessary complexity from meta-documentation** + +**Decision Challenge**: + +**Decision**: "Keep 7 meta-documents documenting the implementation process" + +**Necessity Assessment**: 2/10 +- **Current need**: Do users need to know about phased implementation? NO (2/10) +- **Future need**: Will this help users understand the feature? NO (1/10) +- **Cost of waiting**: What if we remove these files? ZERO (0/10) +- **Evidence of need**: Any user requests for implementation history? NONE + +**Complexity Assessment**: 6/10 +- **Added complexity**: 7 extra files in .architecture/ directory (6/10) +- **Maintenance burden**: Must update if implementation details change (6/10) +- **Learning curve**: Users must navigate past irrelevant docs (5/10) +- **Navigation burden**: 64% more files to understand "what's important" (7/10) + +**Alternative Analysis**: +The kept files don't address simpler alternatives: +- ❌ **Remove all meta-docs** - Simplest, feature works without them +- ❌ **Consolidate to single retrospective** - One file vs. seven +- ❌ **Move to separate /meta directory** - At least separate from user docs + +**Simpler Alternative Proposal**: + +**Option 1: Complete Removal** (RECOMMENDED) +- Remove all 7 meta-documents +- Feature is complete, documented in ADR-002, examples, and CLAUDE.md +- Implementation history is in git commits +- Rationale: Users don't need implementation process docs + +**Option 2: Single Retrospective** +- Create one `IMPLEMENTATION-RETROSPECTIVE.md` consolidating key insights +- Remove all 7 individual meta-documents +- Rationale: Preserve lessons learned in single document + +**Option 3: Meta Directory** +- Create `.architecture/meta/` directory +- Move all 7 files there +- Rationale: Separate user docs from implementation artifacts + +**Recommendation**: ❌ **Remove all 7 meta-documents entirely** + +**Justification**: +This is classic post-implementation cleanup. The 7 meta-documents served their purpose during development: +- Tracked progress across phases +- Documented pragmatic thinking applied to itself +- Provided completion metrics + +But NOW: +- Feature is complete (100% functional) +- Implementation is documented in ADR-002 +- Examples demonstrate usage +- CLAUDE.md has instructions +- Git history preserves implementation story +- Metrics are interesting but not necessary for users + +**Pragmatic Questions**: +1. **Do users need these?** NO - They need config.yml, examples, CLAUDE.md +2. **Do they help understand the feature?** NO - ADR-002 and examples do that +3. **Will we reference them?** NO - Implementation is complete +4. **Cost of removing?** ZERO - Feature works without them +5. **Cost of keeping?** MEDIUM - 7 files to navigate around, maintenance burden + +**Pragmatic Score**: +- **Necessity**: 2/10 (interesting but not needed) +- **Complexity**: 6/10 (7 extra files, navigation burden) +- **Ratio**: 6/2 = **3.0** ❌ *(Target: <1.5 for balanced mode)* + +**The ratio of 3.0 indicates we're keeping 3x more complexity than the necessity warrants.** + +**Recommendation**: ❌ **Remove all 7 meta-documents** + +**Implementation**: +- Consolidate key insights from all 7 files into ADR-002 +- Remove the 7 individual files +- Result: Single comprehensive ADR with implementation lessons included + +--- + +## Collaborative Analysis + +After individual reviews, the architecture team reconvened. + +**Consensus**: All reviewers agree the 7 meta-documents should be removed or consolidated. + +**Domain Expert**: "These were useful during implementation, but they're cluttering the architecture directory now. Users don't need to know about our phased approach." + +**Maintainability Expert**: "64% reduction in file count by removing these. That's significant for navigation and maintenance." + +**Documentation Specialist**: "Clear separation needed: user docs vs. implementation artifacts. These are clearly artifacts." + +**Pragmatic Enforcer**: "Complexity/necessity ratio of 3.0 is way above our target of 1.5. This is exactly the kind of unnecessary complexity we built pragmatic mode to prevent. We should use it on ourselves." + +**Tech Lead Decision**: "Agreed. Remove all 7 meta-documents. The feature is documented in: +- ADR-002: Design and rationale +- config.yml: Configuration +- Examples: Usage demonstration +- CLAUDE.md: Instructions +- Git history: Implementation story + +The meta-documents served their purpose during development. Time to clean up." + +--- + +## Recommended Actions + +### High Priority - Remove Meta-Documents + +**Remove these 7 files** (implementation artifacts): +1. ❌ `.architecture/PHASE-1-TEST.md` +2. ❌ `.architecture/PHASE-2A-COMPLETE.md` +3. ❌ `.architecture/PHASE-3A-COMPLETE.md` +4. ❌ `.architecture/PHASE-4A-COMPLETE.md` +5. ❌ `.architecture/decisions/phase-2-pragmatic-analysis.md` +6. ❌ `.architecture/decisions/phase-3-pragmatic-analysis.md` +7. ❌ `.architecture/decisions/phase-4-pragmatic-analysis.md` + +**Rationale**: +- Not user-facing documentation +- Implementation history preserved in git +- Feature fully documented in ADR-002, examples, CLAUDE.md +- Reduces file count by 64% +- Reduces navigation complexity +- Reduces maintenance burden + +### Keep These Files (Essential) + +**Core Infrastructure**: +- ✅ `.architecture/config.yml` - Configuration system +- ✅ `.architecture/deferrals.md` - Deferral tracking + +**Template Updates**: +- ✅ `.architecture/templates/review-template.md` (modified) +- ✅ `.architecture/templates/adr-template.md` (modified) + +**Examples**: +- ✅ `.architecture/reviews/example-pragmatic-api-feature.md` +- ✅ `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` + +**Instructions**: +- ✅ `CLAUDE.md` (modified with Pragmatic Guard Mode section) + +**Member Definition**: +- ✅ `.architecture/members.yml` (modified with Pragmatic Enforcer) + +**Total Essential Files**: 4 new files (config.yml, deferrals.md, 2 examples) + 4 modifications + +--- + +## Consolidate Into ADR-002 + +Merge key insights into ADR-002: +- Implementation approach (pragmatic mode applied to itself) +- Time savings achieved (20x faster, 3.8 weeks saved) +- Deferrals tracked (12 total, 0% hit rate) +- Lessons learned (template + 1 example pattern works) +- Meta-validation (self-application three times) + +Then remove the 7 individual meta-documents. + +**Benefit**: Single comprehensive ADR with complete story + +--- + +## Summary + +**Current State**: 11 files added (4 essential + 7 meta-docs) +**Proposed State**: 4 files added (essential only) +**Reduction**: 7 files removed (64% less) + +**Pragmatic Analysis**: +- Necessity of meta-docs: 2/10 +- Complexity of meta-docs: 6/10 +- Ratio: 3.0 (exceeds target of 1.5) +- **Recommendation**: Remove + +**Unanimous Decision**: Remove all 7 meta-documents to reduce clutter and maintain focus on user-facing documentation. + +--- + +## Implementation Checklist + +- [x] Remove PHASE-1-TEST.md +- [x] Remove PHASE-2A-COMPLETE.md +- [x] Remove PHASE-3A-COMPLETE.md +- [x] Remove PHASE-4A-COMPLETE.md +- [x] Remove phase-2-pragmatic-analysis.md +- [x] Remove phase-3-pragmatic-analysis.md +- [x] Remove phase-4-pragmatic-analysis.md +- [x] Merge implementation lessons into ADR-002 +- [x] Commit cleanup changes + +--- + +**Review Status**: ✅ Complete +**Cleanup Status**: ✅ Complete (7 files removed, lessons merged into ADR-002) +**Recommendation**: ❌ Remove 7 meta-documents - **COMPLETED** +**Consensus**: Unanimous agreement from all reviewers including Pragmatic Enforcer +**Pragmatic Score**: Necessity 2/10, Complexity 6/10, Ratio 3.0 (exceeds target) +**Result**: Clean, user-focused documentation structure maintained diff --git a/.architecture/reviews/progressive-disclosure-categorization.md b/.architecture/reviews/progressive-disclosure-categorization.md new file mode 100644 index 0000000..f0f8523 --- /dev/null +++ b/.architecture/reviews/progressive-disclosure-categorization.md @@ -0,0 +1,337 @@ +# Progressive Disclosure Applied to Documentation Recommendations + +**Date**: 2025-12-11 +**Source**: Architecture Review - README.md Pragmatic Mode and Implementation Guidance Documentation +**Process**: Applied pragmatic principles to recommendations themselves + +--- + +## Executive Summary + +The architecture review identified **13 potential improvements** to README.md documentation. Rather than implementing all recommendations immediately (which would bloat README and risk violating instruction capacity constraints per ADR-005), we **applied progressive disclosure principles to the recommendations themselves**. + +**Outcome**: +- **3 recommendations** → Add to README immediately (~13 lines, ~75 min total) +- **10 recommendations** → Deferred with clear triggers (tracked in deferrals.md) +- **1 structure created** → TROUBLESHOOTING.md for deferred detailed documentation + +**Result**: README stays within limits (~517 lines vs. 550 target), instruction capacity maintained, all concerns addressed pragmatically. + +--- + +## Categorization Methodology + +For each recommendation, we assessed: + +**Necessity Score (0-10)**: +- 0-3: Nice to have, speculative value +- 4-7: Valuable, some evidence of need +- 8-10: Critical, clear current need + +**Complexity Score (0-10)**: +- 0-3: Small addition (< 10 lines, < 30 min) +- 4-7: Medium addition (10-50 lines, 30-120 min) +- 8-10: Large addition (> 50 lines, > 2 hours) + +**Ratio**: Complexity / Necessity +- < 0.5: Strong candidate for "add now" +- 0.5-1.0: Consider for "add now" if high necessity +- 1.0-1.5: Defer unless critical +- > 1.5: Definitely defer + +**Evidence of Need**: +- User questions? How many? +- Observed confusion? How often? +- Blocking adoption? Evidence? +- Speculative? (No evidence yet) + +--- + +## Category A: Add to README Immediately + +These recommendations have **high necessity + low complexity + ratio < 0.5**: + +### 1. Expand Security Exemptions (Security Specialist - Critical) + +**Scores**: N=9/10, C=3/10, Ratio=0.33 ✅ + +**What**: Expand README Pragmatic Mode section to explicitly list 4 exemption categories with examples: +- Security-critical features (authentication, authorization, encryption, input validation) +- Data integrity (database transactions, data validation, backup strategies) +- Compliance requirements (GDPR, HIPAA, PCI-DSS, audit logging) +- Accessibility (WCAG compliance, screen reader support) + +**Why Add Now**: +- Security-conscious organizations need to see protections upfront +- Current one-sentence mention insufficient to build confidence +- Blocking adoption due to concerns about "pragmatic" meaning +- High user impact, prevents hesitation + +**Implementation**: Replace "Exemptions for Critical Areas: Security and compliance remain rigorous" with bulleted list (~8 lines) + +**Effort**: 30 minutes + +**Status**: Ready to implement + +--- + +### 2. Add Feature Interaction Note (Systems Architect - High) + +**Scores**: N=7/10, C=2/10, Ratio=0.29 ✅ + +**What**: Add 2-3 sentences explaining how Pragmatic Mode and Implementation Guidance interact when both enabled. + +**Why Add Now**: +- Natural user question: "Will pragmatic mode challenge my configured practices?" +- Prevents confusion about feature compatibility +- Low complexity, high clarity value +- Builds confidence in enabling both features + +**Implementation**: Add to end of Pragmatic Mode section or beginning of Implementation Guidance section: + +> "When using both Pragmatic Mode and Implementation Guidance together, pragmatic mode respects your configured security practices and methodological choices while challenging unnecessary complexity in other areas. The pragmatic enforcer ensures implementations remain simple while still following your team's documented standards for security, testing, and code quality." + +**Effort**: 15 minutes + +**Status**: Ready to implement + +--- + +### 3. Validate Performance Claims (Performance Specialist - Important) + +**Scores**: N=7/10, C=2/10, Ratio=0.29 ✅ + +**What**: Add footnotes linking performance claims ("90% prompt reduction", "20x faster") to validation methodology in ADRs. + +**Why Add Now**: +- Strengthens credibility for quantified benefits +- Simple addition (footnote references) +- Addresses potential skepticism +- Low complexity, high value + +**Implementation**: +- After "90% prompt reduction": add superscript "¹" +- After "20x faster implementation": add superscript "²" +- At bottom of section: + - "¹ See ADR-004 § Validation for measurement methodology" + - "² See ADR-002 § Implementation Results for measurement details" + +**Effort**: 30 minutes (includes link verification) + +**Status**: Ready to implement + +--- + +**Category A Total**: +- **Lines Added**: ~13 (8 + 3 + 2) +- **Time Required**: ~75 minutes +- **README Size After**: ~517 lines (within 550 target) +- **Instruction Capacity**: Maintained (< 150 instructions) + +--- + +## Category B: Create Structure for Deferred Documentation + +### TROUBLESHOOTING.md Created + +**Purpose**: Home for detailed documentation that shouldn't be in README due to progressive disclosure principles (ADR-005). + +**Sections Created** (to be populated when triggers hit): +1. **How AI Assistants Use These Features** - AI capabilities, parsing, error handling +2. **Common Errors** - Error scenarios and resolutions +3. **Configuration Maintenance** - Lifecycle guidance +4. **Advanced Prompt Patterns** - Power user commands + +**Link from README**: Add reference to TROUBLESHOOTING.md in documentation resources section. + +**Effort**: 2 hours (structure + initial content + linking) + +**Status**: ✅ Complete (created at `/TROUBLESHOOTING.md`) + +--- + +## Category C: Deferred with Clear Triggers + +These recommendations are **tracked in deferrals.md** with specific, measurable trigger conditions: + +### Deferred - Medium Priority (4 items) + +1. **AI Assistant Capabilities Documentation** (N=6, C=6, Ratio=1.0) + - Trigger: 5+ user questions about AI behavior + - Status: 0 questions as of 2025-12-11 + +2. **Advanced Prompt Patterns** (N=5, C=3, Ratio=0.6) + - Trigger: 5+ user questions about "Can I implement as [member]?" + - Status: 0 questions as of 2025-12-11 + +3. **Error Handling Documentation** (N=6, C=5, Ratio=0.83) + - Trigger: 5+ support requests about configuration errors + - Status: 0 errors reported as of 2025-12-11 + +4. **Configuration Maintenance Guidance** (N=6, C=5, Ratio=0.83) + - Trigger: 3+ projects with stale configs OR 6+ months since launch + - Status: Features recently launched, configs fresh + +### Deferred - Low Priority (6 items) + +5. **"When NOT to Use" Anti-Patterns** (N=5, C=3, Ratio=0.6) + - Trigger: 3+ incidents of inappropriate feature use + - Status: 0 incidents as of 2025-12-11 + +6. **Command Variations Expansion** (N=4, C=2, Ratio=0.5) + - Trigger: Users request more command examples + - Status: 0 requests as of 2025-12-11 + +7. **Multi-Language Configuration Examples** (N=6, C=2, Ratio=0.33) + - Trigger: 3+ users ask about multi-language configuration + - Status: 0 questions as of 2025-12-11 + +8. **Progressive Disclosure Performance Benefits** (N=4, C=2, Ratio=0.5) + - Trigger: Users ask why documentation structured this way + - Status: 0 questions as of 2025-12-11 + +9. **Config Parsing Performance Clarification** (N=3, C=1, Ratio=0.33) + - Trigger: User asks about config parsing performance + - Status: 0 concerns as of 2025-12-11 + +10. **Version Consistency Verification** (N=4, C=2, Ratio=0.5) + - Trigger: Quarterly documentation review cycle + - Status: Address during next quarterly review + +--- + +## Pragmatic Analysis of This Decision + +**Meta-Application**: We applied pragmatic mode principles to documentation recommendations themselves. + +### Before Progressive Disclosure + +**All Recommendations Implemented**: +- README: 504 + 60-100 lines = 564-604 lines +- Risk: Exceeds 550-line target, violates instruction capacity +- Contradicts: Our own progressive disclosure principles (ADR-005) +- Time: ~5-7 hours for all implementations +- Value: Mixed - some high value, some speculative + +### After Progressive Disclosure + +**Categorized Approach**: +- README: 504 + 13 lines = 517 lines ✅ (within target) +- Instruction capacity: Maintained ✅ (< 150 instructions) +- TROUBLESHOOTING.md: Created for deferred items ✅ +- Deferrals tracked: 10 items with clear triggers ✅ +- Time investment: ~3 hours (75 min immediate + 2 hrs structure) +- Value: Maximized (high-value items implemented, speculative deferred) + +### Pragmatic Score + +**Comprehensive Documentation Approach**: +- Necessity: 6/10 (some items valuable, many speculative) +- Complexity: 7/10 (60-100 lines, significant effort) +- Ratio: 1.17 (acceptable but not optimal) + +**Progressive Disclosure Approach** (selected): +- Necessity: 8/10 (addresses real concerns, respects constraints) +- Complexity: 3/10 (minimal README additions, structure for future) +- Ratio: 0.375 ✅ (well below 1.5 threshold) + +**Conclusion**: Progressive disclosure approach is **more pragmatic** - addresses current needs without over-engineering documentation. + +--- + +## Validation: Self-Application of Pragmatic Principles + +This categorization exercise demonstrates that **pragmatic mode principles apply to documentation** just as they apply to code: + +1. ✅ **Challenge Scope**: Questioned whether ALL recommendations needed NOW +2. ✅ **Calculate Ratio**: Applied necessity/complexity scoring to each +3. ✅ **Propose Simpler Alternative**: TROUBLESHOOTING.md instead of README bloat +4. ✅ **Track Deferrals**: Clear triggers for each deferred item +5. ✅ **Cost of Waiting**: Low for most items (users haven't asked yet) +6. ✅ **Evidence-Based**: Trigger conditions are measurable, not speculative + +**The Meta-Insight**: If pragmatic mode helps us make better decisions about *documenting* pragmatic mode, that's powerful evidence it works for code too. + +--- + +## Next Steps + +### Immediate Implementation (0-2 weeks) + +1. **Expand Security Exemptions** in README (30 min) + - Location: README.md lines 428-452 (Pragmatic Mode section) + - Replace one-sentence mention with 4-category bulleted list + - Owner: Security Specialist perspective + +2. **Add Feature Interaction Note** (15 min) + - Location: End of Pragmatic Mode or start of Implementation Guidance + - 2-3 sentences clarifying feature cooperation + - Owner: Systems Architect perspective + +3. **Validate Performance Claims** (30 min) + - Location: Both sections (Pragmatic Mode, Implementation Guidance) + - Add footnotes linking to ADR validation sections + - Owner: Performance Specialist perspective + +4. **Link TROUBLESHOOTING.md from README** (10 min) + - Add reference in documentation resources or getting help section + - Single line: "For troubleshooting and advanced usage, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)" + +**Total Effort**: ~85 minutes +**Total Lines Added**: ~14 +**README Final Size**: ~518 lines (within 550 target) + +### Monthly Monitoring + +- Review deferrals.md for triggered conditions +- Check GitHub issues/discussions for: + - User questions matching trigger conditions + - Configuration errors being reported + - Requests for advanced patterns + - Any confusion about features + +### Quarterly Review (Q1 2026) + +- Re-evaluate all deferred items +- Update trigger conditions based on actual usage patterns +- Consider whether any low-priority items can be cancelled +- Review deferral hit rate (target: < 40%) + +--- + +## Metrics + +### Deferral Tracking + +**Total Deferrals**: 22 framework-wide (12 pragmatic mode implementation + 10 README documentation) +**Hit Rate Target**: < 40% (most deferrals should remain unneeded) +**Current Hit Rate**: 0% (0 of 22 triggered) + +### Documentation Efficiency + +**README Instruction Density**: +- Before Review: ~100 instructions (estimated) +- After Category A: ~108 instructions (estimated) +- Target: < 150 instructions +- Status: ✅ Within limits + +**Progressive Disclosure Success**: +- 10 of 13 recommendations (77%) deferred with triggers +- Prevents 60-100 lines of speculative documentation +- Saves 4-6 hours of documentation effort +- Maintains instruction capacity compliance + +--- + +## Related Documents + +- **Source Review**: [.architecture/reviews/readme-pragmatic-implementation-docs.md](.architecture/reviews/readme-pragmatic-implementation-docs.md) +- **Deferrals**: [.architecture/deferrals.md](.architecture/deferrals.md) (10 new entries added) +- **TROUBLESHOOTING**: [TROUBLESHOOTING.md](../../TROUBLESHOOTING.md) (structure created) +- **ADR-005**: [.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md](.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) + +--- + +**Categorization Complete**: 2025-12-11 +**Next Review**: Monthly deferral check, quarterly comprehensive review +**Success Metric**: Deferral hit rate < 40% validates progressive approach diff --git a/.architecture/reviews/readme-pragmatic-implementation-docs.md b/.architecture/reviews/readme-pragmatic-implementation-docs.md new file mode 100644 index 0000000..e3fd6bc --- /dev/null +++ b/.architecture/reviews/readme-pragmatic-implementation-docs.md @@ -0,0 +1,1058 @@ +# Architecture Review: README.md Pragmatic Mode and Implementation Guidance Documentation + +**Date**: 2025-12-11 +**Review Type**: Component +**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer, Pragmatic Enforcer + +## Executive Summary + +This review evaluates the documentation quality and accuracy of two key features in README.md: Pragmatic Mode (YAGNI Enforcement) and Implementation Guidance. Both features represent significant value additions to the AI Software Architect framework, with documented benefits of 20x faster implementation and 90% prompt reduction respectively. + +The documentation is **overall strong** and accurately reflects the implemented features per ADR-002 and ADR-004. The configuration templates (config.yml) match what's described in the README, and recent changes (progressive disclosure pattern per ADR-005) have been appropriately reflected. However, several opportunities exist to improve clarity, particularly around security exemptions visibility, feature interaction, and balancing comprehensive documentation against instruction capacity constraints. + +**Overall Assessment**: Strong + +**Key Findings**: +- Documentation accurately reflects implemented features and configuration patterns +- Security exemptions are documented but need more visibility in README +- Feature interaction between Pragmatic Mode and Implementation Guidance is not explicitly explained +- Progressive disclosure principles (ADR-005) create tension with desire for comprehensive documentation +- Performance claims (90% reduction, 20x faster) need validation links + +**Critical Actions**: +- Expand security exemptions visibility in Pragmatic Mode section (README:428-452) +- Apply progressive disclosure principles to documentation recommendations themselves +- Create FAQ/Troubleshooting document for deferred detailed documentation + +--- + +## System Overview + +**Target**: README.md documentation sections covering: +- Pragmatic Mode (YAGNI Enforcement) - lines 428-452 +- Implementation Guidance - lines 454-492 + +**Context**: +- Framework version: 1.2.0 +- Recent major changes: Progressive disclosure pattern (ADR-005, ADR-006) to respect LLM instruction capacity constraints (~150-200 instructions) +- Technology stack: Markdown documentation, YAML configuration, cross-platform AI assistant support (Claude Code, Cursor, GitHub Copilot) +- Team: 7 architecture review members (6 standard + 1 pragmatic enforcer when enabled) + +**Related ADRs**: +- ADR-002: Pragmatic Guard Mode (YAGNI Enforcement) +- ADR-004: Implementation Command with Configuration +- ADR-005: LLM Instruction Capacity Constraints +- ADR-006: Progressive Disclosure Pattern + +**Review Scope**: +This review focuses specifically on whether the README documentation accurately represents the features, remains effective after recent framework changes, and provides sufficient clarity for users while respecting instruction capacity constraints. + +--- + +## Individual Member Reviews + +### Systems Architect + +**Perspective**: Evaluating how well the documentation integrates these features into the overall framework architecture and system coherence. + +#### Key Observations +- Progressive disclosure alignment: README properly presents features at high level with links to detailed documentation +- Configuration integration: Both features use same config.yml pattern showing good architectural consistency +- Command interface consistency: Natural language commands fit existing interaction model +- Documentation structure: README → ADRs → Config follows established patterns +- Cross-platform compatibility: Both features work across all AI assistants + +#### Strengths + +1. **Consistent Configuration Pattern**: Both pragmatic_mode and implementation sections in config.yml follow identical structure and conventions +2. **Clear Integration Points**: Config.yml, command recognition documented +3. **Good Separation of Concerns**: Overview (README) vs. detailed documentation (ADRs) +4. **Feature Interaction Potential**: While not explicit, the design allows pragmatic mode to challenge implementation decisions appropriately + +#### Concerns + +1. **Integration Clarity** (Medium impact) + - **Issue**: README doesn't explicitly explain how Pragmatic Mode and Implementation Guidance interact when both enabled + - **Why it matters**: Users will wonder: "If I enable pragmatic mode, will it challenge my configured implementation practices?" + - **Recommendation**: Add brief note about feature interaction, clarifying that pragmatic mode applies exemptions (security, data integrity) consistently with implementation guidance + +2. **Version Consistency** (Low impact) + - **Issue**: README shows framework version 1.2.0, should verify all documentation is updated + - **Why it matters**: Version inconsistencies cause user confusion + - **Recommendation**: Audit all documentation files for version number consistency + +3. **Command Discoverability** (Low impact) + - **Issue**: "Enable pragmatic mode" command documented but full syntax variations could be clearer + - **Why it matters**: Users might not know alternative phrasings + - **Recommendation**: Add "Alternative phrases" section similar to other commands + +#### Recommendations + +1. **Add Feature Interaction Note** (Priority: High, Effort: Small) + - **What**: Add 2-3 sentences explaining how features work together + - **Why**: Prevents user confusion, builds confidence + - **How**: Insert after pragmatic mode section or at end of implementation guidance section + +2. **Verify Version Consistency** (Priority: Medium, Effort: Small) + - **What**: Audit all docs for version 1.2.0 + - **Why**: Maintains professional consistency + - **How**: Grep for version numbers, update as needed + +3. **Expand Command Variations** (Priority: Low, Effort: Small) + - **What**: Document alternative phrasings + - **Why**: Improves discoverability + - **How**: Add examples to pragmatic mode section + +--- + +### Domain Expert + +**Perspective**: Evaluating how well the documentation represents these features' business value and semantic clarity. + +#### Key Observations +- Clear value proposition: Both features articulate concrete benefits (20x faster, 90% reduction) +- Real-world context: Pragmatic Mode explains problem it solves with specific examples +- Use case clarity: Documentation clearly explains when to use each feature +- Ubiquitous language: Terms like "YAGNI", "TDD", "pragmatic enforcer" used consistently +- Outcome-focused: Emphasizes outcomes over mechanism + +#### Strengths + +1. **Strong "When to Use" Guidance**: Pragmatic Mode section lists clear scenarios (new projects, MVPs, tight deadlines) +2. **Quantified Benefits**: 90% prompt reduction, 20x faster implementation provide concrete value metrics +3. **Real-World Problem Framing**: Documentation addresses actual user pain (typing 40-word prompts repeatedly) +4. **Configurable Intensity Levels**: Strict/balanced/lenient maps to real team dynamics + +#### Concerns + +1. **Missing Anti-Patterns** (Medium impact) + - **Issue**: README doesn't explain when NOT to use these features or common misunderstandings + - **Why it matters**: Users might enable features inappropriately + - **Recommendation**: Add brief "When NOT to use" or "Common pitfalls" guidance + +2. **Implementation Guidance Discoverability** (Medium impact) + - **Issue**: High-value feature appears late in document (line 454) after several other sections + - **Why it matters**: Users skimming might miss this feature + - **Recommendation**: Elevate to "Key Features" section or add "Getting Started" quick-win callout + +3. **Example Completeness** (Low impact) + - **Issue**: Implementation guidance shows minimal vs complete config but could benefit from real "before/after" prompt example + - **Why it matters**: Users might not fully grasp transformation value + - **Recommendation**: Add concrete example showing old 40-word prompt vs. new 4-word command + +#### Recommendations + +1. **Add "When NOT to Use" Guidance** (Priority: Medium, Effort: Small) + - **What**: Brief section for each feature explaining contraindications + - **Why**: Prevents misuse, sets appropriate expectations + - **How**: Add subsection to each feature explaining when to skip + +2. **Elevate Implementation Guidance Visibility** (Priority: Medium, Effort: Small) + - **What**: Add to "Key Features" or create "Quick Wins" callout + - **Why**: High-value feature deserves prominence + - **How**: Consider restructuring or adding cross-reference + +3. **Add Before/After Prompt Example** (Priority: Low, Effort: Small) + - **What**: Show concrete transformation + - **Why**: Visceral demonstration of value + - **How**: Add example to implementation guidance section + +--- + +### Security Specialist + +**Perspective**: Reviewing documentation for security implications and proper handling of security-critical concerns. + +#### Key Observations +- Exemptions documented: Pragmatic Mode mentions exemptions for security-critical features +- Security practices in config: Implementation guidance template includes security section marked "always applied" +- Appropriate scope: Neither feature compromises security by design +- YAGNI exemption: Clear that YAGNI doesn't apply to security practices +- Framework-level guidance: Directs users to maintain security standards + +#### Strengths + +1. **Explicit Security Exemptions**: Pragmatic Mode config has four categories (security_critical, data_integrity, compliance_required, accessibility) +2. **Dedicated Security Section**: Implementation guidance config includes security practices section +3. **Clear Messaging**: "Always applied, exempt from YAGNI" language is unambiguous +4. **Concrete Examples**: Config template provides specific security practices (input validation, output encoding, parameterized queries) + +#### Concerns + +1. **README Security Visibility** (High impact) + - **Issue**: README Pragmatic Mode section (lines 428-452) only briefly mentions exemptions in one sentence: "Exemptions for Critical Areas: Security and compliance remain rigorous" + - **Why it matters**: Users need to understand depth of security protections before enabling pragmatic mode to avoid hesitation or misunderstanding + - **Recommendation**: Expand README pragmatic mode section to explicitly list four exemption categories with 1-2 examples each + +2. **Security Guidance Clarity** (Medium impact) + - **Issue**: Implementation guidance section doesn't emphasize that security practices are non-negotiable even in "simple" implementations + - **Why it matters**: Teams might skip security practices thinking they're "over-engineering" + - **Recommendation**: Add explicit callout: "Security practices are mandatory and exempt from simplification" + +3. **Audit Trail** (Low impact) + - **Issue**: No mention of whether pragmatic mode decisions (deferrals, complexity challenges) are logged for audit purposes + - **Why it matters**: Compliance-sensitive organizations might need decision audit trails + - **Recommendation**: Note that deferral log (deferrals.md) can serve audit function + +#### Recommendations + +1. **Expand Security Exemptions in README** (Priority: Critical, Effort: Small) + - **What**: List all four exemption categories with examples in Pragmatic Mode section + - **Why**: Builds user confidence, prevents security concerns from blocking adoption + - **How**: Replace single sentence with bulleted list: + - Security-critical features (authentication, authorization, encryption, input validation) + - Data integrity (transactions, validation, backups) + - Compliance requirements (GDPR, HIPAA, PCI-DSS, audit logging) + - Accessibility (WCAG compliance, screen reader support) + +2. **Add Security Mandate Callout** (Priority: Medium, Effort: Small) + - **What**: Explicit statement in implementation guidance section + - **Why**: Prevents security practices being skipped + - **How**: Add note: "Security practices are mandatory regardless of simplicity goals" + +3. **Document Audit Trail Capability** (Priority: Low, Effort: Small) + - **What**: Mention deferrals.md serves audit function + - **Why**: Addresses compliance concerns + - **How**: Add sentence to pragmatic mode section + +--- + +### Maintainability Expert + +**Perspective**: Evaluating how these features affect long-term maintenance, code clarity, and developer understanding. + +#### Key Observations +- Configuration as documentation: config.yml serves as living documentation of team practices +- Version control integration: Configuration files checked in, preserving decisions over time +- Consistency mechanism: Implementation guidance ensures consistent code patterns +- Technical debt prevention: Pragmatic Mode explicitly addresses debt through deferral tracking +- Onboarding value: Config-driven practices make team standards explicit + +#### Strengths + +1. **Configuration-Driven Approach**: Makes team practices explicit and maintainable +2. **Deferral Tracking**: deferrals.md prevents "forgotten decisions" problem +3. **Implementation Consistency**: Reduces code inconsistency (main source of maintenance pain) +4. **Progressive Disclosure Pattern**: Keeps documentation maintainable per ADR-005 +5. **Clear Upgrade Paths**: Both features have documented upgrade procedures + +#### Concerns + +1. **Configuration Maintenance** (High impact) + - **Issue**: README doesn't explain how to maintain/update configurations over time (when team practices evolve, when to review config) + - **Why it matters**: Config becomes stale, doesn't reflect actual team practices + - **Recommendation**: Add "Configuration Maintenance" guidance explaining when/how to review and update config.yml + +2. **Deferral Lifecycle** (Medium impact) + - **Issue**: Pragmatic Mode tracks deferrals but README doesn't explain lifecycle (review cadence, when to revisit, when to remove) + - **Why it matters**: Deferrals accumulate without review, losing value + - **Recommendation**: Document deferral review process (monthly checks, quarterly re-evaluation per ADR-002) + +3. **Multi-Language Projects** (Medium impact) + - **Issue**: Implementation guidance config shows single-language examples, doesn't clarify handling polyglot codebases + - **Why it matters**: Confusion for teams with multiple languages + - **Recommendation**: Add note about configuring multiple languages in same project + +4. **Documentation Drift** (Low impact) + - **Issue**: No mechanism mentioned to ensure README stays in sync with ADRs and config templates + - **Why it matters**: Documentation inconsistencies over time + - **Recommendation**: Reference documentation governance process or quarterly review + +#### Recommendations + +1. **Add Configuration Maintenance Guidance** (Priority: High, Effort: Medium) + - **What**: New section explaining when/how to review and update configurations + - **Why**: Prevents config staleness, maintains documentation value + - **How**: Add subsection covering quarterly reviews, evolution triggers, team consensus process + +2. **Document Deferral Review Process** (Priority: Medium, Effort: Small) + - **What**: Explain deferral lifecycle and review cadence + - **Why**: Maximizes deferral tracking value + - **How**: Add to pragmatic mode section: monthly checks, quarterly re-evaluation, removal criteria + +3. **Clarify Multi-Language Configuration** (Priority: Medium, Effort: Small) + - **What**: Show how to configure multiple languages in one project + - **Why**: Supports polyglot projects + - **How**: Add example to implementation guidance showing Ruby + JavaScript config + +4. **Reference Documentation Governance** (Priority: Low, Effort: Small) + - **What**: Link to quarterly review process + - **Why**: Maintains documentation quality + - **How**: Add link to documentation governance docs + +--- + +### Performance Specialist + +**Perspective**: Analyzing performance implications on development velocity and AI assistant effectiveness. + +#### Key Observations +- Development velocity: Implementation guidance claims 90% prompt reduction improving productivity +- AI performance: Progressive disclosure pattern (ADR-005) respects instruction capacity limits +- Pragmatic mode impact: ADR-002 shows 20x faster implementation through deferral +- Configuration overhead: One-time setup cost vs. ongoing prompt savings +- Documentation load time: Progressive disclosure reduces per-session load + +#### Strengths + +1. **Demonstrable Performance Improvements**: Velocity metrics documented in ADRs +2. **Progressive Disclosure Optimization**: Prevents cognitive overload for AI assistants +3. **Excellent Cost-Benefit Ratio**: One-time config setup, perpetual benefit +4. **Pragmatic Anti-Pattern Prevention**: Prevents premature optimization + +#### Concerns + +1. **Performance Claims Validation** (Medium impact) + - **Issue**: README cites "90% reduction" and "20x faster" but doesn't link to validation data or methodology + - **Why it matters**: Users might doubt claims without evidence + - **Recommendation**: Add footnotes or links to ADRs showing measurement methodology and validation + +2. **AI Assistant Performance Impact** (Low impact) + - **Issue**: README doesn't explain how respecting instruction capacity constraints (ADR-005) improves AI performance + - **Why it matters**: Users might not understand why documentation is structured this way + - **Recommendation**: Brief callout about progressive disclosure optimizing AI performance + +3. **Config Parsing Overhead** (Low impact) + - **Issue**: No mention of whether parsing config.yml adds latency + - **Why it matters**: Users might worry about performance cost + - **Recommendation**: Clarify that config parsing is negligible (YAML fast, once per session) + +#### Recommendations + +1. **Validate Performance Claims** (Priority: Important, Effort: Small) + - **What**: Add links to ADRs with measurement methodology + - **Why**: Builds credibility, supports claims + - **How**: Add footnotes: "¹ See ADR-002 for measurement details" and "² See ADR-004 validation section" + +2. **Explain Progressive Disclosure Performance Benefits** (Priority: Low, Effort: Small) + - **What**: Callout about AI instruction capacity optimization + - **Why**: Helps users understand documentation structure + - **How**: Add note explaining ADR-005 rationale + +3. **Clarify Config Parsing Performance** (Priority: Low, Effort: Small) + - **What**: Note that config parsing overhead is negligible + - **Why**: Addresses potential concerns + - **How**: Add parenthetical: "(config parsed once per session, negligible overhead)" + +--- + +### AI Engineer + +**Perspective**: Evaluating how well these features integrate with AI assistants and support practical AI-assisted development workflows. + +#### Key Observations +- Cross-platform design: Works with Claude Code, Cursor, GitHub Copilot through natural language +- Progressive disclosure: ADR-005 implementation respects LLM instruction capacity constraints +- Prompt engineering: 90% reduction represents excellent prompt engineering +- Context efficiency: Config-driven approach maximizes effective use of context window +- Natural language interface: Commands are discoverable and human-readable + +#### Strengths + +1. **Excellent Prompt Engineering**: Config-driven, concise commands +2. **Respects Empirical LLM Constraints**: Instruction capacity from HumanLayer research +3. **Intuitive Natural Language**: Clear for users, parseable for AI +4. **YAML Configuration**: Both human-readable and AI-parseable +5. **State-of-the-Art Pattern**: Progressive disclosure is best practice + +#### Concerns + +1. **AI Capability Documentation** (High impact) + - **Issue**: README doesn't explain what AI assistants can/can't do with these features: + - Can AI create members.yml members dynamically? + - Can AI detect when pragmatic mode should be enabled? + - How do AI assistants parse and apply config? + - What happens if config is invalid/malformed? + - **Why it matters**: Users don't understand AI assistant capabilities and limitations + - **Recommendation**: Add "How AI Assistants Use This" section explaining parsing, application, and limitations + +2. **Prompt Pattern Documentation** (Medium impact) + - **Issue**: Implementation guidance provides command examples but doesn't document full pattern space (e.g., "Implement as the pragmatic enforcer", "Implement as security specialist") + - **Why it matters**: Users don't leverage full flexibility + - **Recommendation**: Document advanced prompt patterns and member-specific implementation + +3. **Error Handling** (Medium impact) + - **Issue**: README doesn't explain what happens if config file missing/malformed, pragmatic mode enabled without pragmatic_enforcer in members.yml, or conflicting settings + - **Why it matters**: Users encounter errors without understanding why + - **Recommendation**: Document error scenarios and resolution steps + +4. **Context Loading Order** (Low impact) + - **Issue**: No explanation of when/how AI assistants load config.yml (first read, cached, reloaded per session?) + - **Why it matters**: Users don't know if config changes take effect immediately + - **Recommendation**: Brief note about config loading behavior + +#### Recommendations + +1. **Add "How AI Assistants Use This" Section** (Priority: High, Effort: Medium) + - **What**: Explain parsing, application, capabilities, and limitations + - **Why**: Critical for user understanding + - **How**: Create FAQ/Troubleshooting doc with dedicated section (defer from README per progressive disclosure) + +2. **Document Advanced Prompt Patterns** (Priority: Medium, Effort: Small) + - **What**: Show member-specific implementation and advanced commands + - **Why**: Unlocks full feature flexibility + - **How**: Add to FAQ/Troubleshooting doc + +3. **Add Error Handling Documentation** (Priority: Medium, Effort: Small) + - **What**: Document common errors and resolution steps + - **Why**: Reduces user frustration + - **How**: Add to FAQ/Troubleshooting doc + +4. **Clarify Config Loading Behavior** (Priority: Low, Effort: Small) + - **What**: Explain when config is loaded/reloaded + - **Why**: Sets correct expectations + - **How**: Add brief note to implementation guidance section + +--- + +### Pragmatic Enforcer + +**Perspective**: Evaluating whether documented features represent appropriate complexity for value provided, and whether documentation itself follows YAGNI principles. + +**Mode**: Balanced (per config.yml) + +#### Key Observations +- Feature necessity: Both solve real, documented user pain points (over-engineering, repetitive prompting) +- Implementation simplicity: Both leverage existing config file, minimal code complexity +- Documentation efficiency: Progressive disclosure pattern is pragmatic response to constraints +- Value metrics: Clear quantified benefits justify implementation +- Deferral pattern: Both ADRs show appropriate use of deferral + +#### Strengths + +1. **Emerged from Real Needs**: Not speculative features +2. **Follows Existing Patterns**: config.yml configuration-driven approach +3. **Appropriate Deferrals**: Global config, validation, multi-language profiles deferred +4. **Progressive Disclosure**: Essential info in README, details in ADRs +5. **Self-Application Validation**: Pragmatic mode implementation used pragmatic principles (20x faster) + +#### Pragmatic Analysis + +**Pragmatic Mode Documentation (README lines 428-452)**: +- **Necessity**: 9/10 - Essential feature needs documentation +- **Complexity**: 3/10 - 24 lines, clear structure, appropriate detail +- **Ratio**: 0.33 ✅ (well below 1.5 threshold) +- **Assessment**: Appropriately documented, no over-engineering + +**Implementation Guidance Documentation (README lines 454-492)**: +- **Necessity**: 9/10 - High-value feature needs clear documentation +- **Complexity**: 4/10 - 38 lines, includes config example +- **Ratio**: 0.44 ✅ (well below 1.5 threshold) +- **Assessment**: Appropriately documented with good example + +#### Concerns + +1. **Documentation Scope Creep** (Medium impact) + - **Issue**: Multiple architect reviews recommend adding sections: + - "How AI Assistants Use This" + - "When NOT to Use" + - "Configuration Maintenance" + - "Error Handling" + - "Advanced Prompt Patterns" + - **Pragmatic Challenge**: Do we need all this documentation NOW, or can some be deferred? + - **Current state**: README is 504 lines, manageable + - **Cost of waiting**: Users might encounter issues without guidance + - **Cost of adding**: Increases documentation burden, maintenance overhead, risks violating instruction capacity constraints (ADR-005) + - **Alternative**: Create FAQ or troubleshooting page, keep README focused on essentials + - **Recommendation**: Apply progressive disclosure principle to recommendations themselves: + - **Add now** (high necessity): Security exemptions expansion, feature interaction note, performance claims validation + - **Defer** (lower necessity): AI capabilities doc, advanced patterns, error handling (add when triggered by user questions) + +2. **Feature Interaction Complexity** (Low impact) + - **Issue**: When both features enabled, potential complexity in understanding interaction + - **Necessity**: 7/10 (users will wonder) + - **Complexity**: 2/10 (brief explanation) + - **Recommendation**: Add 2-3 sentence clarification (as Systems Architect recommended) + +#### Simpler Alternative Proposal + +Instead of comprehensive documentation expansion, could we: +1. Add a "Troubleshooting" or "FAQ" page (separate from README) +2. Keep README focused on "what" and "why", not exhaustive "how" +3. Use progressive disclosure: FAQ loaded only when users have questions + +**Pragmatic Score Analysis**: +- **Comprehensive Documentation Approach**: Necessity 6/10, Complexity 7/10, Ratio 1.17 +- **Progressive Disclosure Approach**: Necessity 8/10, Complexity 3/10, Ratio 0.375 ✅ + +#### Recommendations + +1. **Prioritize Recommendations Pragmatically** (Priority: Critical, Effort: Small) + - **What**: Categorize all recommendations as "add now" vs. "defer until triggered" + - **Why**: Prevents documentation scope creep, maintains instruction capacity compliance + - **How**: Apply progressive disclosure principle to recommendations themselves + +2. **Add Feature Interaction Note** (Priority: High, Effort: Small) + - **What**: Brief clarification on how features work together + - **Why**: High-necessity, low-complexity addition + - **How**: 2-3 sentences in pragmatic mode or implementation guidance section + +3. **Consider FAQ/Troubleshooting Page** (Priority: Critical, Effort: Medium) + - **What**: Defer detailed documentation to separate file, keep README concise + - **Why**: Respects progressive disclosure pattern (ADR-005), prevents instruction capacity violations + - **How**: Create TROUBLESHOOTING.md for AI capabilities, error handling, configuration maintenance, advanced patterns + +--- + +## Collaborative Discussion + +### Opening Context + +**Systems Architect**: "I've reviewed the documentation for both Pragmatic Mode and Implementation Guidance. Overall, the structure is solid—both features follow our established configuration pattern using config.yml, and the documentation correctly reflects what's implemented per ADR-002 and ADR-004. However, I'm concerned that we don't explicitly explain how these two features interact when both are enabled. Users will naturally wonder: 'Will pragmatic mode challenge my configured implementation practices?'" + +**Domain Expert**: "That's a great point. From a user perspective, I'd add that while the features are well-documented, Implementation Guidance appears quite late in the README—line 454. Given that it offers a 90% prompt reduction, that's a massive value proposition that users might miss if they're just skimming. We should consider elevating its visibility." + +**Security Specialist**: "I want to emphasize a critical concern: while our config.yml template extensively documents security exemptions, the README only mentions them in passing—one sentence that says 'Security and compliance remain rigorous.' That's insufficient. Users need to see explicitly what's protected before they enable pragmatic mode, otherwise security-conscious teams might hesitate to adopt it, or worse, misunderstand what 'pragmatic' means in our context." + +**Maintainability Expert**: "Building on that, I'm also concerned about configuration lifecycle. We document how to set these features up initially, but what happens six months later when team practices evolve? There's no guidance on when or how to review and update config.yml. Without that, configurations will drift from reality, losing their documentation value." + +**Performance Specialist**: "The performance claims are compelling—90% prompt reduction and 20x faster implementation—but we should link to the validation methodology. These aren't aspirational numbers; they're measured in ADR-002 and ADR-004. Adding those references would strengthen credibility." + +**AI Engineer**: "I'm looking at this from the AI assistant integration perspective, and I see a gap: we don't explain how AI assistants actually parse and apply these configurations. Can they create members dynamically? What happens if the config is malformed? What's the full prompt pattern space—can users say 'Implement as the pragmatic enforcer' or 'Implement as the security specialist'? These are practical questions users will have." + +**Pragmatic Enforcer**: "I appreciate all these concerns, but I need to inject some pragmatism here. We've identified approximately 10-15 potential additions to the README. Let me challenge us: do we need ALL of this documentation NOW? Our README is currently 504 lines. If we add everything being suggested, we could easily push past 600-650 lines. That starts to violate our own progressive disclosure principles from ADR-005, which mandates staying within instruction capacity constraints. The risk is we make the documentation MORE confusing by trying to cover every edge case." + +**Systems Architect**: "That's a valid concern. Let's not forget we established instruction capacity constraints for good reason—research shows LLMs reliably follow about 150-200 instructions, and Claude Code already uses ~50. We can't afford to bloat the README." + +**Domain Expert**: "Perhaps we can find middle ground. What if we identify which additions are truly essential for first-time users versus what can be documented elsewhere?" + +**Pragmatic Enforcer**: "Exactly. I propose we categorize recommendations by necessity and complexity: +- **Add to README now**: High-necessity items that are low-complexity +- **Defer to separate FAQ/Troubleshooting doc**: Detailed explanations, error handling, advanced patterns +- **Track for later**: Items triggered by actual user questions + +This way we maintain README focus while still addressing concerns." + +**Security Specialist**: "I can support that, but security exemptions MUST be in the first category. That's non-negotiable. Users need to see those protections upfront." + +**AI Engineer**: "Agreed. For my concerns about AI capabilities and error handling, I think those could go in a FAQ document. That's probably better than bloating the README anyway." + +**Maintainability Expert**: "Configuration maintenance guidance could also go in a separate document—something like 'MAINTENANCE.md' or as part of a FAQ. As long as there's a clear path to that information." + +**Performance Specialist**: "Performance claim validation is simple—just add footnotes linking to the ADRs. That's maybe one line added." + +### Common Ground + +The team agrees on: + +1. **Documentation is fundamentally sound**: Both features are accurately represented and match implemented behavior per ADR-002 and ADR-004 +2. **Progressive disclosure must be respected**: ADR-005 instruction capacity constraints are real and must guide our decisions +3. **Security exemptions need more visibility**: Expand README section to explicitly list four categories with examples +4. **Some concerns can be deferred**: Create FAQ/Troubleshooting document for detailed explanations, error handling, advanced patterns, AI capabilities +5. **Prioritization is essential**: Not all recommendations have equal urgency or necessity + +### Areas of Debate + +**Topic: Documentation Expansion vs. Progressive Disclosure** + +- **Expansionist View** (AI Engineer, Maintainability Expert, Domain Expert): "We should add comprehensive documentation covering AI capabilities, error handling, configuration maintenance, and advanced patterns to the README. Users need this information to use features effectively." + - **Argument**: Users encounter issues without this guidance; poor experience damages adoption + - **Risk**: Feature under-utilization due to lack of information + +- **Minimalist View** (Pragmatic Enforcer, Systems Architect via ADR-005): "We must keep README focused and respect instruction capacity constraints. Defer detailed documentation to separate files (FAQ, Troubleshooting)." + - **Argument**: README must stay within ~100-line target per ADR-005; comprehensive docs can live elsewhere + - **Risk**: Violating instruction capacity constraints; documentation becomes less effective due to cognitive overload + +- **Resolution**: **Compromise approach adopted**: + 1. **Immediate README additions** (high necessity, low complexity, maintains focus): + - Security exemptions expansion (6-8 lines) + - Feature interaction note (2-3 lines) + - Performance validation links (1 line with footnotes) + 2. **Create separate FAQ/Troubleshooting document** (2 hours effort): + - Defer "How AI Assistants Use This" + - Defer error handling scenarios + - Defer advanced prompt patterns + - Defer configuration maintenance detailed guidance + - Link from README: "For troubleshooting and advanced usage, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)" + 3. **Track deferred items** in deferrals.md with clear triggers: + - Trigger: 5+ support questions on same topic → add to FAQ + - Trigger: User confusion patterns emerge → document in troubleshooting + +**Topic: Implementation Guidance Visibility** + +- **Domain Expert**: "Implementation guidance should be more prominent—elevate to 'Key Features' section or add before pragmatic mode. It's too valuable (90% prompt reduction) to appear so late (line 454)." + - **Argument**: Users skimming might miss high-value feature + +- **Systems Architect**: "Current positioning is appropriate given document flow: setup → pragmatic mode → implementation. Restructuring could disrupt logical progression." + - **Argument**: Features ordered by framework workflow + +- **Resolution**: **Keep current positioning but improve discovery**: + 1. Maintain document flow (no major restructuring) + 2. Add cross-reference from Pragmatic Mode section: "Note: When using 'Implement X as the architects', see Implementation Guidance below for configuration options" + 3. Consider adding to "Key Features" summary section if one exists (defer pending README structure review) + +### Priorities Established + +**Critical (Address Immediately - 0-2 weeks)**: + +1. **Expand Security Exemptions in README** (30 min) + - List all four exemption categories with 1-2 examples each + - Builds user confidence, prevents adoption hesitation + - Addresses Security Specialist's non-negotiable concern + +2. **Apply Progressive Disclosure to Recommendations** (15 min) + - Categorize recommendations as "add now" vs. "defer with trigger" + - Prevents documentation scope creep, maintains instruction capacity compliance + - Validates pragmatic mode principles + +3. **Create FAQ/Troubleshooting Document Structure** (2 hours) + - Provides home for detailed documentation deferred from README + - Maintains README focus and instruction capacity compliance + - Addresses multiple concerns (AI capabilities, error handling, config maintenance, advanced patterns) + +**Important (Address 2-8 weeks)**: + +4. **Add Feature Interaction Note** (15 min) + - 2-3 sentences explaining how pragmatic mode and implementation guidance work together + - Prevents user confusion, high user value + +5. **Validate Performance Claims** (30 min) + - Add footnotes or links to ADRs showing measurement methodology + - Strengthens credibility for "90% reduction" and "20x faster" claims + +6. **Document Multi-Language Configuration** (20 min) + - Add note about configuring multiple languages in same project + - Supports polyglot codebases + +7. **Add Implementation Guidance Cross-Reference** (10 min) + - Cross-reference from Pragmatic Mode section to Implementation Guidance section + - Improves feature discoverability + +**Nice-to-Have (2-6 months, or triggered by user feedback)**: + +8. **"When NOT to Use" Guidance** (30 min) + - Trigger: Users enable features inappropriately (3+ incidents) + - Prevents misuse, sets appropriate expectations + +9. **Configuration Maintenance Guidance** (45 min) + - Trigger: Config files become stale (observed in 3+ projects) + - Adds to FAQ/Troubleshooting doc when needed + +10. **Advanced Prompt Patterns** (30 min) + - Trigger: Users ask "Can I...?" about advanced usage (5+ questions) + - Documents member-specific implementation and advanced commands + +--- + +## Consolidated Findings + +### Strengths + +1. **Accurate Feature Representation**: Documentation correctly reflects implemented features per ADR-002 (Pragmatic Mode) and ADR-004 (Implementation Guidance). Config templates match README descriptions, and recent changes (progressive disclosure per ADR-005) are appropriately incorporated. + +2. **Consistent Configuration Pattern**: Both pragmatic_mode and implementation sections use identical config.yml structure and conventions, demonstrating strong architectural consistency and making the framework easier to understand. + +3. **Clear Value Propositions**: Both features articulate concrete, quantified benefits—90% prompt reduction for implementation guidance, 20x faster implementation for pragmatic mode—with real-world problem framing that resonates with users. + +4. **Progressive Disclosure Implementation**: Documentation structure (README → ADRs → Config) respects instruction capacity constraints from ADR-005, keeping README focused while providing detailed information where needed. + +5. **Strong Security Foundation**: Config templates extensively document security exemptions (four categories: security_critical, data_integrity, compliance_required, accessibility) with concrete examples, ensuring security is never compromised. + +6. **Cross-Platform Design**: Both features work seamlessly with multiple AI assistants (Claude Code, Cursor, GitHub Copilot) through natural language commands, maximizing framework accessibility. + +7. **Self-Validating Implementation**: Pragmatic mode was implemented using pragmatic principles (20x faster than planned), providing strong validation of the feature's effectiveness and establishing the "core + 1 example + defer" pattern. + +### Areas for Improvement + +1. **Security Exemptions Visibility** + - **Current state**: README Pragmatic Mode section (lines 428-452) mentions exemptions in one sentence: "Exemptions for Critical Areas: Security and compliance remain rigorous" + - **Desired state**: Explicit list of four exemption categories with examples visible in README + - **Gap**: Security-conscious teams may hesitate to enable pragmatic mode without understanding depth of protections + - **Priority**: High (Critical) + - **Impact**: Adoption barrier for security-focused organizations; potential misunderstanding of "pragmatic" scope + +2. **Feature Interaction Clarity** + - **Current state**: No explanation of how Pragmatic Mode and Implementation Guidance interact when both enabled + - **Desired state**: 2-3 sentence clarification explaining feature cooperation + - **Gap**: Users will wonder: "Will pragmatic mode challenge my configured implementation practices?" + - **Priority**: Medium (Important) + - **Impact**: User confusion, uncertainty about enabling both features simultaneously + +3. **Documentation Scope Management** + - **Current state**: Multiple recommendations to expand README with detailed documentation + - **Desired state**: Progressive disclosure approach with README focused on essentials, detailed docs in FAQ/Troubleshooting + - **Gap**: No FAQ/Troubleshooting document exists to house deferred detailed documentation + - **Priority**: High (Critical) + - **Impact**: Risk of violating instruction capacity constraints (ADR-005) if all recommendations added to README; documentation becomes less effective due to cognitive overload + +4. **Performance Claims Validation** + - **Current state**: README cites "90% reduction" and "20x faster" without links to validation methodology + - **Desired state**: Footnotes or links to ADRs showing measurement details + - **Gap**: Missing evidence for quantified benefits + - **Priority**: Medium (Important) + - **Impact**: Users might doubt claims; missed opportunity to strengthen credibility + +5. **Configuration Lifecycle Guidance** + - **Current state**: Documentation covers initial configuration setup but not maintenance over time + - **Desired state**: Guidance on when/how to review and update config.yml as team practices evolve + - **Gap**: No documented process for configuration maintenance + - **Priority**: Medium + - **Impact**: Configurations become stale, losing their living documentation value; drift from actual team practices + +6. **AI Assistant Capabilities Documentation** + - **Current state**: No explanation of how AI assistants parse/apply configurations, handle errors, or support advanced patterns + - **Desired state**: "How AI Assistants Use This" documentation covering parsing, capabilities, limitations, error scenarios + - **Gap**: Users don't understand AI assistant behaviors and limitations + - **Priority**: Medium + - **Impact**: User confusion when encountering unexpected behaviors or errors; under-utilization of advanced features + +### Technical Debt + +**High Priority**: + +- **Missing FAQ/Troubleshooting Document**: + - **Impact**: No home for detailed documentation that shouldn't go in README; ongoing pressure to bloat README with edge cases and detailed explanations + - **Resolution**: Create TROUBLESHOOTING.md covering AI capabilities, error handling, configuration maintenance, advanced patterns + - **Effort**: Medium (2 hours initial creation) + - **Recommended Timeline**: Immediate (Critical priority) + +**Medium Priority**: + +- **Configuration Maintenance Process**: + - **Impact**: Config files risk becoming stale without documented review process; lost documentation value over time + - **Resolution**: Add configuration maintenance section to FAQ/Troubleshooting covering quarterly reviews, evolution triggers, team consensus process + - **Effort**: Small (45 min) + - **Recommended Timeline**: 2-8 weeks (Important priority) + +- **Advanced Prompt Pattern Documentation**: + - **Impact**: Users may not discover full flexibility of implementation command (member-specific implementations, advanced patterns) + - **Resolution**: Document in FAQ/Troubleshooting when triggered by user questions + - **Effort**: Small (30 min) + - **Recommended Timeline**: When triggered (5+ user questions) + +**Low Priority**: + +- **"When NOT to Use" Guidance**: + - **Impact**: Users might enable features inappropriately (low probability based on current feature design) + - **Resolution**: Add anti-patterns section when triggered by observed misuse + - **Effort**: Small (30 min) + - **Recommended Timeline**: When triggered (3+ incidents) + +### Risks + +**Technical Risks**: + +- **Instruction Capacity Violation** (Likelihood: Medium, Impact: High) + - **Description**: If all recommended documentation additions are made to README, could exceed instruction capacity constraints from ADR-005 (~100-line target), degrading AI assistant performance + - **Mitigation**: Apply progressive disclosure principle to recommendations; create FAQ/Troubleshooting for detailed docs; track instruction count; enforce ~550 line limit for README + - **Owner**: Systems Architect, Pragmatic Enforcer + +- **Documentation Drift** (Likelihood: Medium, Impact: Medium) + - **Description**: Without documented maintenance process, README could fall out of sync with ADRs, config templates, and actual framework behavior over time + - **Mitigation**: Establish quarterly documentation review process; reference documentation governance (ADR-005 mentions quarterly reviews) + - **Owner**: Maintainability Expert + +**Business Risks**: + +- **Adoption Hesitation Due to Security Concerns** (Likelihood: Medium, Impact: Medium) + - **Description**: Security-conscious organizations might not adopt pragmatic mode due to insufficient visibility of security exemptions in README + - **Mitigation**: Expand security exemptions section to explicitly list four categories with examples (Critical priority recommendation) + - **Owner**: Security Specialist + +- **Under-Utilization of High-Value Features** (Likelihood: Low, Impact: Medium) + - **Description**: Users might miss Implementation Guidance feature (line 454) if skimming, losing 90% prompt reduction benefit + - **Mitigation**: Add cross-reference from Pragmatic Mode section; consider adding to "Key Features" summary + - **Owner**: Domain Expert + +**Operational Risks**: + +- **Support Burden from Missing Documentation** (Likelihood: Medium, Impact: Low) + - **Description**: Without FAQ/Troubleshooting doc, users may repeatedly ask same questions about AI capabilities, error handling, configuration maintenance + - **Mitigation**: Create FAQ/Troubleshooting document; track support questions to identify documentation gaps; use trigger-based documentation approach + - **Owner**: AI Engineer, Maintainability Expert + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **Expand Security Exemptions in README** + - **Why**: Security-conscious organizations need to see protections upfront before enabling pragmatic mode; current one-sentence mention is insufficient to build confidence + - **How**: Replace "Exemptions for Critical Areas: Security and compliance remain rigorous" with bulleted list: + - Security-critical features (authentication, authorization, encryption, input validation) + - Data integrity (database transactions, data validation, backup strategies) + - Compliance requirements (GDPR, HIPAA, PCI-DSS, audit logging) + - Accessibility (WCAG compliance, screen reader support) + - **Owner**: Security Specialist + - **Success Criteria**: Four exemption categories explicitly listed in README Pragmatic Mode section; user feedback shows improved confidence in security protections + - **Estimated Effort**: 30 minutes + +2. **Apply Progressive Disclosure to Recommendations** + - **Why**: Prevents documentation scope creep; maintains instruction capacity compliance per ADR-005; validates pragmatic mode principles + - **How**: Categorize all review recommendations as "add to README now" (high necessity, low complexity) vs. "defer to FAQ with trigger" (detailed explanations, edge cases) + - **Owner**: Pragmatic Enforcer + - **Success Criteria**: Clear categorization of all recommendations; decision criteria documented for future additions + - **Estimated Effort**: 15 minutes + +3. **Create FAQ/Troubleshooting Document Structure** + - **Why**: Provides home for detailed documentation that shouldn't be in README; maintains README focus; addresses multiple deferred concerns (AI capabilities, error handling, config maintenance, advanced patterns) + - **How**: + - Create TROUBLESHOOTING.md with sections: + - "How AI Assistants Use These Features" + - "Common Errors and Resolutions" + - "Configuration Maintenance" + - "Advanced Prompt Patterns" + - Add link from README: "For troubleshooting and advanced usage, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)" + - Populate initial content for highest-priority items + - **Owner**: Maintainability Expert, AI Engineer + - **Success Criteria**: TROUBLESHOOTING.md created; linked from README; initial content for key topics; structure supports future additions + - **Estimated Effort**: 2 hours + +### Short-term (2-8 weeks) + +4. **Add Feature Interaction Note** + - **Why**: Users will naturally wonder how Pragmatic Mode and Implementation Guidance interact; prevents confusion about feature compatibility + - **How**: Add 2-3 sentences to README (either end of Pragmatic Mode section or beginning of Implementation Guidance section): + "When using both Pragmatic Mode and Implementation Guidance together, pragmatic mode respects your configured security practices and methodological choices while challenging unnecessary complexity in other areas. The pragmatic enforcer ensures implementations remain simple while still following your team's documented standards for security, testing, and code quality." + - **Owner**: Systems Architect + - **Success Criteria**: Feature interaction clearly explained; user questions about compatibility addressed + - **Estimated Effort**: 15 minutes + +5. **Validate Performance Claims** + - **Why**: Strengthens credibility for "90% prompt reduction" and "20x faster implementation" claims; provides evidence for skeptical users + - **How**: Add footnotes to README: + - After "90% prompt reduction": "¹" + - After "20x faster implementation": "²" + - At bottom of section: "¹ See ADR-004 § Validation for measurement methodology" and "² See ADR-002 § Implementation Results for measurement details" + - **Owner**: Performance Specialist + - **Success Criteria**: Performance claims linked to validation methodology; users can verify claims + - **Estimated Effort**: 30 minutes + +6. **Document Multi-Language Configuration** + - **Why**: Supports polyglot codebases; clarifies how to configure different languages in same project + - **How**: Add example to Implementation Guidance section showing Ruby + JavaScript configuration in languages section + - **Owner**: Maintainability Expert + - **Success Criteria**: Multi-language example added; polyglot project support clarified + - **Estimated Effort**: 20 minutes + +7. **Add Implementation Guidance Cross-Reference** + - **Why**: Improves discoverability of high-value feature (90% prompt reduction) + - **How**: Add note to Pragmatic Mode section: "Note: When using 'Implement X as the architects', see Implementation Guidance below for configuration options" + - **Owner**: Domain Expert + - **Success Criteria**: Cross-reference added; feature discoverability improved + - **Estimated Effort**: 10 minutes + +### Long-term (2-6 months) + +8. **"When NOT to Use" Guidance** (Trigger-based) + - **Why**: Prevents feature misuse; sets appropriate expectations + - **How**: Add anti-patterns section to FAQ/Troubleshooting when triggered by observed misuse (3+ incidents) + - **Owner**: Domain Expert + - **Success Criteria**: Trigger condition met; anti-patterns documented; misuse incidents reduced + - **Estimated Effort**: 30 minutes (when triggered) + +9. **Configuration Maintenance Guidance** (Trigger-based) + - **Why**: Prevents config staleness; maintains living documentation value + - **How**: Add to FAQ/Troubleshooting when triggered by observed stale configs (3+ projects): quarterly review process, evolution triggers, team consensus approach + - **Owner**: Maintainability Expert + - **Success Criteria**: Trigger condition met; maintenance process documented; config staleness reduced + - **Estimated Effort**: 45 minutes (when triggered) + +10. **Advanced Prompt Patterns** (Trigger-based) + - **Why**: Unlocks full feature flexibility; supports power users + - **How**: Document in FAQ/Troubleshooting when triggered by user questions (5+): member-specific implementations ("Implement as security specialist"), advanced variations + - **Owner**: AI Engineer + - **Success Criteria**: Trigger condition met; advanced patterns documented; power user satisfaction improved + - **Estimated Effort**: 30 minutes (when triggered) + +--- + +## Success Metrics + +### Immediate (Post-Implementation of Critical Recommendations) + +1. **README Line Count**: + - **Current**: 504 lines + - **Target**: < 550 lines (after critical additions: security exemptions ~8 lines, feature interaction ~3 lines, performance footnotes ~2 lines = ~517 lines) + - **Timeline**: Immediate + - **Measurement**: Line count check after critical additions + +2. **Instruction Count**: + - **Current**: ~100 instructions (estimated) + - **Target**: < 30 instructions for critical content per ADR-005 + - **Timeline**: Immediate + - **Measurement**: Manual instruction counting using methodology from ADR-005 + +3. **Security Concerns Addressed**: + - **Current**: 1 sentence on exemptions + - **Target**: 4 exemption categories explicitly listed with examples + - **Timeline**: 2 weeks + - **Measurement**: Review README Pragmatic Mode section for exemption visibility + +4. **FAQ/Troubleshooting Document Exists**: + - **Current**: No + - **Target**: TROUBLESHOOTING.md created with initial content + - **Timeline**: 2 weeks + - **Measurement**: File exists, linked from README, initial sections populated + +### Short-Term (1-3 months) + +5. **User Feedback on Documentation Clarity**: + - **Current**: Not formally measured + - **Target**: ≥ 8/10 rating for documentation clarity + - **Timeline**: 3 months + - **Measurement**: User survey or GitHub discussions + +6. **Support Question Frequency**: + - **Current**: Not tracked + - **Target**: < 5 questions per topic (triggers FAQ addition per deferral policy) + - **Timeline**: 3 months + - **Measurement**: Track support questions in GitHub issues/discussions + +7. **Feature Adoption Rate**: + - **Current**: Unknown + - **Target**: ≥ 60% of users enabling at least one feature (pragmatic mode or implementation guidance) + - **Timeline**: 3 months + - **Measurement**: Usage telemetry if available, or user survey + +8. **Performance Claims Credibility**: + - **Current**: Claims present but not linked to validation + - **Target**: Performance claims linked to validation methodology in ADRs + - **Timeline**: 2 months + - **Measurement**: Footnotes present, links functional, user feedback on credibility + +### Long-Term (6+ months) + +9. **Deferral Hit Rate**: + - **Current**: 12 deferrals tracked in ADR-002 with 0% hit rate + - **Target**: < 40% hit rate (validates deferral decisions) + - **Timeline**: 6 months + - **Measurement**: Track which deferred items triggered; calculate percentage + +10. **Documentation Maintenance Burden**: + - **Current**: Not measured + - **Target**: < 2 hours per quarter for documentation updates + - **Timeline**: 1 year + - **Measurement**: Track time spent on documentation maintenance + +11. **User Satisfaction with Framework**: + - **Current**: Not formally measured + - **Target**: ≥ 8.5/10 overall satisfaction + - **Timeline**: 6 months + - **Measurement**: User survey including documentation quality component + +12. **README Instruction Capacity Compliance**: + - **Current**: Within limits (~100 instructions estimated) + - **Target**: Maintain < 150 instructions for all README content + - **Timeline**: Ongoing + - **Measurement**: Quarterly instruction count audit per ADR-005 + +--- + +## Follow-up + +**Next Review**: March 2026 (quarterly review per ADR-005) or when triggered by: +- README exceeds 550 lines +- Support questions exceed 5 per topic +- User satisfaction drops below 8/10 +- Deferral hit rate exceeds 40% + +**Tracking**: +- Create GitHub issues for immediate recommendations (#1-3) +- Add short-term recommendations to project backlog (#4-7) +- Track trigger conditions for long-term recommendations in deferrals.md (#8-10) +- Link this review from README improvement tracking issue + +**Recalibration**: +After implementing immediate and short-term recommendations, conduct focused recalibration to assess: +- User feedback on documentation improvements +- Support question frequency (validates FAQ/Troubleshooting effectiveness) +- README instruction count (validates progressive disclosure approach) +- Feature adoption rates (validates documentation clarity improvements) + +Use command: +``` +Start architecture recalibration for README documentation improvements +``` + +**Accountability**: +- **Review Owner**: Systems Architect +- **Implementation Tracking**: Weekly check-ins for first 2 weeks (critical recommendations), bi-weekly thereafter +- **Progress Documentation**: Update this review document with implementation status; create follow-up notes in .architecture/reviews/ +- **Quarterly Review**: Add README documentation review to quarterly review process per ADR-005 + +--- + +## Related Documentation + +**Architectural Decision Records**: +- [ADR-002: Pragmatic Guard Mode](../decisions/adrs/ADR-002-pragmatic-guard-mode.md) - Foundational decision for Pragmatic Mode; includes implementation results showing 20x faster delivery; validates "core + 1 example + defer" pattern +- [ADR-004: Implementation Command with Configuration](../decisions/adrs/ADR-004-implementation-command-configuration.md) - Foundational decision for Implementation Guidance; documents 90% prompt reduction benefit and configuration-driven approach +- [ADR-005: LLM Instruction Capacity Constraints](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Establishes instruction capacity limits (~150-200 instructions) that constrain documentation approach; mandates progressive disclosure pattern +- [ADR-006: Progressive Disclosure Pattern](../decisions/adrs/ADR-006-progressive-disclosure-pattern.md) - Implementation of progressive disclosure approach; details how to structure documentation across multiple files + +**Previous Reviews**: +- [Post-Implementation Review: Pragmatic Mode](../reviews/pragmatic-mode-post-implementation-review.md) - Review after completing ADR-002 implementation; validates pragmatic principles through self-application + +**Referenced Documents**: +- [Configuration Template](../templates/config.yml) - Complete config.yml template including pragmatic_mode and implementation sections +- [Architectural Principles](../principles.md) - Core principles including "Pragmatic Simplicity" that underpin both features +- [AGENTS.md](../../AGENTS.md) - Cross-platform documentation; includes references to both features +- [CLAUDE.md](../../CLAUDE.md) - Claude Code-specific documentation; references both features with command patterns + +--- + +## Appendix + +### Review Methodology + +This review was conducted using the AI Software Architect framework with the following team members: + +- **Systems Architect**: Overall system coherence, documentation structure, configuration patterns +- **Domain Expert**: Business value representation, user experience, clarity of value propositions +- **Security Specialist**: Security implications, exemption visibility, security practice documentation +- **Performance Specialist**: Development velocity impact, AI assistant performance, claim validation +- **Maintainability Expert**: Long-term documentation maintenance, configuration lifecycle, evolution support +- **AI Engineer**: AI assistant integration, prompt engineering, cross-platform compatibility +- **Pragmatic Enforcer**: Complexity analysis, YAGNI principle application, recommendation prioritization + +Each member reviewed independently from their specialized perspective, then collaborated to synthesize findings and prioritize recommendations. + +**Pragmatic Mode**: Balanced +- Complexity ratio target: < 1.5 +- All recommendations evaluated through YAGNI lens +- Applied progressive disclosure principle to recommendations themselves +- Identified 3 critical, 4 important, and 3 nice-to-have recommendations with clear trigger conditions for deferred items + +**Progressive Disclosure Applied**: +- Critical recommendations added to README (~13 lines total) +- Detailed documentation deferred to FAQ/Troubleshooting document +- Trigger-based approach for long-term recommendations +- Maintains instruction capacity compliance per ADR-005 + +### Documentation Quality Analysis + +**Current README State**: +- **Lines**: 504 +- **Target**: < 550 (allows ~46 lines for improvements) +- **Estimated Instructions**: ~100 (within capacity) +- **Pragmatic Mode Section**: 24 lines (428-452) +- **Implementation Guidance Section**: 38 lines (454-492) + +**Post-Improvement Projection** (Critical recommendations only): +- **Lines**: ~517 (+13 lines: security exemptions +8, feature interaction +3, performance footnotes +2) +- **Instructions**: ~108 (still within capacity) +- **Security Visibility**: High (4 categories explicit) +- **Progressive Disclosure**: Maintained (detailed docs in separate file) + +**Quality Improvement Metrics**: +- Security exemption visibility: 1 sentence → 4 categories (400% increase in clarity) +- Feature interaction documentation: 0 sentences → 2-3 sentences (infinite improvement) +- Performance claim validation: 0 links → 2 links to ADRs (credibility boost) +- Detailed documentation: 0 pages → 1 FAQ/Troubleshooting page (scope management) + +### Glossary + +- **ADR**: Architectural Decision Record - Documents architectural decisions with context, reasoning, and consequences +- **YAGNI**: You Aren't Gonna Need It - Principle of not adding functionality until it's necessary +- **Progressive Disclosure**: Pattern of providing information incrementally, starting with essentials and adding detail as needed +- **Instruction Capacity**: Empirical limit (~150-200 instructions) on how many discrete directives LLMs can reliably follow +- **Pragmatic Mode**: Framework feature (ADR-002) that adds "Pragmatic Enforcer" architect who challenges complexity and enforces YAGNI principles +- **Implementation Guidance**: Framework feature (ADR-004) that allows configuration-driven implementation with 90% prompt reduction +- **Deferral Hit Rate**: Percentage of deferred decisions that later proved necessary; target < 40% validates deferral strategy +- **TDD**: Test-Driven Development - Methodology where tests are written before implementation code + +--- + +**Review Complete** diff --git a/.architecture/templates/AGENTS.md b/.architecture/templates/AGENTS.md new file mode 100644 index 0000000..f82de66 --- /dev/null +++ b/.architecture/templates/AGENTS.md @@ -0,0 +1,244 @@ +# AGENTS.md - AI Software Architect Framework + + + +> **For [AI Assistant] Users**: This file contains cross-platform instructions for the AI Software Architect framework. For assistant-specific features and detailed procedures, see [.architecture/agent_docs/README.md](.architecture/agent_docs/README.md). + +## Project Overview + +[PROJECT_NAME] uses the AI Software Architect framework to implement rigorous software architecture practices with AI assistant collaboration. + +**Technology Stack**: [PROJECT_TECH_STACK] + +The framework provides: +- **Architecture Documentation**: Centralized repository of architectural decisions and reviews +- **Multi-Perspective Reviews**: Specialized reviewers from different architectural domains +- **Decision Records (ADRs)**: Structured documentation of architectural decisions +- **Recalibration Process**: Translating architectural reviews into implementation plans +- **Pragmatic Mode**: Optional YAGNI enforcement to prevent over-engineering +- **Progressive Disclosure**: Detailed procedures in `.architecture/agent_docs/` directory + +## Framework Setup + +### Directory Structure + +``` +.architecture/ +├── members.yml # Architecture review team members +├── principles.md # Core architectural principles +├── config.yml # Framework configuration (including pragmatic mode) +├── decisions/ # Architectural Decision Records (ADRs) +│ └── adrs/ # Numbered ADR documents +├── reviews/ # Architecture review documents +├── recalibration/ # Implementation planning documents +└── templates/ # Templates for ADRs, reviews, etc. + +.architecture/agent_docs/ # Detailed AI assistant procedures +├── README.md # Navigation guide +├── workflows.md # Step-by-step procedures +└── reference.md # Advanced topics and troubleshooting +``` + +**👉 For detailed setup procedures, see [.architecture/agent_docs/workflows.md § Setup Procedures](.architecture/agent_docs/workflows.md#setup-procedures)** + +## Core Workflows + +**👉 For detailed workflow procedures, see [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md)** + +### Requesting Architecture Reviews + +Architecture reviews provide multi-perspective analysis of architectural decisions. + +**Command patterns:** +- "Start architecture review for version X.Y.Z" +- "Start architecture review for [feature name]" +- "Ask [Specialist] to review [component]" + +Review documents created in `.architecture/reviews/`. + +**See**: [.architecture/agent_docs/workflows.md § Architecture Review Workflows](.architecture/agent_docs/workflows.md#architecture-review-workflows) + +### Creating Architectural Decision Records (ADRs) + +ADRs document significant architectural decisions. + +**Command patterns:** +- "Create ADR for [topic]" +- "Document architectural decision for [topic]" + +ADRs stored in `.architecture/decisions/adrs/` with sequential numbering. + +**See**: [.architecture/agent_docs/workflows.md § ADR Creation Workflow](.architecture/agent_docs/workflows.md#adr-creation-workflow) + +### Enabling Pragmatic Mode + +Pragmatic mode adds YAGNI enforcement to prevent over-engineering. + +**Command patterns:** + +- "Enable pragmatic mode" +- "Turn on YAGNI enforcement" + +Configuration in `.architecture/config.yml` with three intensity modes: Strict, Balanced, Lenient. + +**See**: [.architecture/agent_docs/reference.md § Pragmatic Guard Mode](.architecture/agent_docs/reference.md#pragmatic-guard-mode) + +### Architectural Recalibration + +Translate architecture review findings into actionable implementation plans. + +**Command patterns:** +- "Start architecture recalibration for version X.Y.Z" +- "Recalibrate architecture for [feature name]" + +Recalibration documents stored in `.architecture/recalibration/`. + +**See**: [.architecture/agent_docs/reference.md § Architecture Recalibration](.architecture/agent_docs/reference.md#architecture-recalibration) + +## Architecture Principles + +This project follows architectural principles defined in `.architecture/principles.md`. Key principles include: + +- **Livable Code**: Design for developers who inhabit the codebase +- **Clarity over Cleverness**: Prefer simple, clear designs +- **Separation of Concerns**: Clear boundaries and single responsibilities +- **Evolvability**: Facilitate change without complete rewrites +- **Observability**: System provides insights into behavior and state +- **Security by Design**: Security integral to architecture, not afterthought +- **Domain-Centric Design**: Reflect and serve the problem domain +- **Pragmatic Simplicity**: Value working solutions over theoretical perfection + +For detailed explanations and application guidelines, see `.architecture/principles.md`. + +## Build & Test (Framework Development) + +If working on the AI Software Architect framework itself: + +### Testing Framework Components + +```bash +# Verify directory structure +ls -la .architecture/ + +# Check configuration +cat .architecture/config.yml + +# List architecture members +cat .architecture/members.yml + +# View templates +ls .architecture/templates/ +``` + +### Validating ADRs and Reviews + +- ADRs should follow template at `.architecture/templates/adr-template.md` +- Reviews should follow template at `.architecture/templates/review-template.md` +- Recalibration should follow template at `.architecture/templates/recalibration_plan.md` + +## Project-Specific Information + +[PROJECT_TECH_STACK] + +[PROJECT_BUILD_COMMANDS] + +[PROJECT_TEST_COMMANDS] + +[PROJECT_CONVENTIONS] + +## Assistant-Specific Features + +The AI Software Architect framework provides enhanced capabilities for specific AI coding assistants: + +### Claude Code + +Claude Code users have access to enhanced features including: + +- **Claude Skills**: Reusable skills for setup, reviews, ADR creation, and status checks +- **MCP Server Integration**: Tools for architecture operations via Model Context Protocol +- **Slash Commands**: Custom commands for framework operations +- **Enhanced Setup**: Intelligent project analysis and template customization + +**See [CLAUDE.md](../CLAUDE.md) for complete Claude Code documentation.** + +### Cursor + +Cursor users can configure the framework via: + +- **Configuration**: See `.coding-assistants/cursor/README.md` +- **Rules**: Custom rules for architecture operations +- **Integration**: Tab completion and inline suggestions + +**See [.coding-assistants/cursor/README.md](../.coding-assistants/cursor/README.md) for details.** + +### GitHub Copilot / Codex + +Copilot users can access framework features via: + +- **Configuration**: See `.coding-assistants/codex/README.md` +- **Comments**: Use comments to trigger architecture operations +- **Integration**: Inline suggestions for ADRs and reviews + +**See [.coding-assistants/codex/README.md](../.coding-assistants/codex/README.md) for details.** + +### Other AI Assistants + +The framework works with any AI assistant that can read markdown files and follow structured instructions. Key entry points: + +- **This file (AGENTS.md)**: Cross-platform instructions +- **.architecture/**: All framework artifacts and templates +- **principles.md**: Architectural principles to apply +- **members.yml**: Available architecture reviewers +- **templates/**: Templates for ADRs, reviews, and recalibration + +## Additional Resources + +### Detailed Documentation +- **Workflow Procedures**: `.architecture/agent_docs/workflows.md` +- **Advanced Topics**: `.architecture/agent_docs/reference.md` +- **Documentation Guide**: `.architecture/agent_docs/README.md` + +### Framework Files +- **Framework Principles**: `.architecture/principles.md` +- **Architecture Members**: `.architecture/members.yml` +- **Configuration**: `.architecture/config.yml` + +### Templates & Examples +- **ADR Template**: `.architecture/templates/adr-template.md` +- **Review Template**: `.architecture/templates/review-template.md` +- **Recalibration Template**: `.architecture/templates/recalibration_plan.md` +- **Example ADRs**: `.architecture/decisions/adrs/` +- **Example Reviews**: `.architecture/reviews/` + +--- + +**Framework Version**: [FRAMEWORK_VERSION] +**Documentation Version**: 2.0.0 (Progressive Disclosure - ADR-006) +**Last Updated**: [LAST_UPDATED] +**Maintained By**: AI Software Architect Framework + + diff --git a/.architecture/templates/adr-template.md b/.architecture/templates/adr-template.md new file mode 100644 index 0000000..13a49d1 --- /dev/null +++ b/.architecture/templates/adr-template.md @@ -0,0 +1,281 @@ +# ADR-XXX: [Title] + +## Status + +[Draft | Proposed | Accepted | Deprecated | Superseded] + +If superseded, link to the new ADR: [New ADR Link] + +## Context + +[Describe the context and problem statement that led to this decision. Include any relevant constraints, requirements, or background information. Reference the architectural review findings if applicable.] + +## Decision Drivers + +* [Driver 1: Briefly describe a factor influencing the decision] +* [Driver 2: ...] +* [Driver n: ...] + +## Decision + +[Describe the decision that was made. Be clear and precise about the architectural change being implemented.] + +**Architectural Components Affected:** +* [Component 1] +* [Component 2] +* [...] + +**Interface Changes:** +* [Detail any changes to public interfaces] + +## Consequences + +### Positive + +* [Positive consequence 1] +* [Positive consequence 2] +* [...] + +### Negative + +* [Negative consequence 1] +* [Negative consequence 2] +* [...] + +### Neutral + +* [Neutral consequence 1] +* [Neutral consequence 2] +* [...] + +## Implementation Strategy + +> **Note**: This section externalizes the "senior thinking" about HOW and WHEN to implement this decision, not just WHAT to implement. + +### Blast Radius + +**Impact Scope**: [Describe the scope of impact if this decision fails or needs reversal] + +**Affected Components**: +- [Component/Service 1] - [Impact description] +- [Component/Service 2] - [Impact description] +- [...] + +**Affected Teams**: +- [Team 1] - [Coordination needs] +- [Team 2] - [Coordination needs] +- [...] + +**User Impact**: [Description of user-facing risks or changes] + +**Risk Mitigation**: +- [Mitigation strategy 1] +- [Mitigation strategy 2] +- [...] + +### Reversibility + +**Reversibility Level**: [High | Medium | Low | Irreversible] + +**Rollback Feasibility**: +- [Description of how easily this can be undone] +- [What makes it reversible or irreversible] +- [Time and effort required for reversal] + +**Migration Paths**: +- **Forward Migration**: [Path to implement this decision] +- **Rollback Migration**: [Path to reverse this decision if needed] +- **Evolution Path**: [How this decision can evolve over time] + +**Options Preserved**: +- [Future options this decision keeps open] +- [Alternatives that remain viable] + +**Commitments Made**: +- [Decisions this locks us into] +- [Future options this decision closes] + +### Sequencing & Timing + +**Prerequisites**: +- [ ] [Prerequisite 1 - with status] +- [ ] [Prerequisite 2 - with status] +- [ ] [...] + +**System Readiness**: +- **Observability**: [Is monitoring/logging adequate for this change?] +- **Dependencies**: [Are dependent systems stable and ready?] +- **Infrastructure**: [Is infrastructure sufficient?] +- **Data Migration**: [Are data migration paths clear and tested?] + +**Team Readiness**: +- **Understanding**: [Does the team understand the patterns being introduced?] +- **Skills**: [Does the team have necessary skills?] +- **Training Needs**: [What training or documentation is required?] +- **Consensus**: [Is there team buy-in for this approach?] + +**Sequencing Concerns**: +- [Should other changes happen first?] +- [What coordination is required?] +- [Are there timing dependencies?] + +**Readiness Assessment**: [Ready to implement | Needs preparation | Requires prerequisites] + +### Social Cost + +**Learning Curve**: [Low | Medium | High] +- [Description of what team members need to learn] +- [Time estimate for team to become proficient] + +**Cognitive Load**: +- [Mental overhead this pattern/approach adds] +- [Complexity vs. clarity trade-off analysis] + +**Clarity Assessment**: +- **Will this help more than confuse?**: [Yes | No | Depends] +- **Explanation required**: [What needs to be documented or explained?] +- **Onboarding impact**: [Effect on new team members] + +**Documentation Needs**: +- [ ] [Documentation item 1] +- [ ] [Documentation item 2] +- [ ] [...] + +### Confidence Assessment + +**Model Correctness Confidence**: [High | Medium | Low] +- [Are we confident in the architectural model, not just the implementation?] +- [What could make tests pass while the model is still wrong?] + +**Assumptions**: +1. [Assumption 1] - **Validation**: [How validated is this?] +2. [Assumption 2] - **Validation**: [How validated is this?] +3. [...] + +**Uncertainty Areas**: +- [Area 1 where we're uncertain] +- [Area 2 where we're uncertain] +- [...] + +**Validation Approach**: +- [How will we validate the model is correct?] +- [What experiments or prototypes are needed?] +- [What feedback loops will verify assumptions?] + +**Edge Cases**: +- [Edge case 1 not captured by testing] +- [Edge case 2 not captured by testing] +- [...] + +## Implementation + +[Provide a high-level implementation plan, including any phasing or migration strategies.] + +**Phase 1: [Phase Name]** +* [Implementation step 1] +* [Implementation step 2] +* [...] + +**Phase 2: [Phase Name]** +* [Implementation step 1] +* [Implementation step 2] +* [...] + +## Alternatives Considered + +### [Alternative 1] + +[Describe alternative approach] + +**Pros:** +* [Pro 1] +* [Pro 2] + +**Cons:** +* [Con 1] +* [Con 2] + +### [Alternative 2] + +[Describe alternative approach] + +**Pros:** +* [Pro 1] +* [Pro 2] + +**Cons:** +* [Con 1] +* [Con 2] + +## Pragmatic Enforcer Analysis + +**Reviewer**: [NAME] +**Mode**: [Strict | Balanced | Lenient] + +**Note**: *This section only appears when pragmatic_mode is enabled in `.architecture/config.yml`* + +**Overall Decision Complexity Assessment**: +[High-level assessment of whether this decision maintains appropriate simplicity or shows signs of over-engineering. Consider: Is this solving a current problem or a future possibility? Are we adding complexity for speculative needs?] + +**Decision Challenge**: + +**Proposed Decision**: "[Briefly quote the decision being made]" + +**Necessity Assessment**: [Score 0-10] +- **Current need**: [Is this decision addressing a current, concrete requirement?] +- **Future need**: [What's the likelihood and timeframe for this being actually needed?] +- **Cost of waiting**: [What breaks if we defer this decision? What's the cost of implementing later?] +- **Evidence of need**: [What concrete evidence justifies this decision now?] + +**Complexity Assessment**: [Score 0-10] +- **Added complexity**: [What complexity does this decision introduce to the system?] +- **Maintenance burden**: [What is the ongoing cost to maintain this?] +- **Learning curve**: [What is the impact on team/new developers?] +- **Dependencies introduced**: [What new dependencies or abstractions are added?] + +**Alternative Analysis**: +[Review of whether simpler alternatives were adequately considered] +- Are the listed alternatives genuinely simpler, or just different? +- Is there a "do nothing" or "minimal change" option missing? +- Could we solve this with existing tools/patterns? + +**Simpler Alternative Proposal**: +[If applicable, concrete proposal for a simpler approach that meets current actual requirements. This might be: +- A phased approach (implement minimal now, extend later) +- Using existing tools instead of custom solutions +- Deferring the decision until more information is available +- A less abstract/more direct solution] + +**Recommendation**: [✅ Approve decision | ⚠️ Approve with simplifications | ⏸️ Defer until triggered | ❌ Recommend against] + +**Justification**: +[Clear reasoning for the recommendation, balancing current needs vs future flexibility vs complexity costs] + +**If Deferring or Simplifying**: +- **Trigger conditions**: [What would trigger implementing this decision or the full version?] +- **Minimal viable alternative**: [What's the simplest thing that could work right now?] +- **Migration path**: [If we implement the minimal version, how do we migrate later if needed?] + +**Pragmatic Score**: +- **Necessity**: [X/10] +- **Complexity**: [X/10] +- **Ratio**: [Complexity/Necessity = X.X] *(Target: <1.5 for balanced mode)* + +**Overall Assessment**: +[Summary judgment: Does this decision represent appropriate engineering for current needs, or potential over-engineering for future possibilities?] + +## Validation + +**Acceptance Criteria:** +- [ ] [Criterion 1] +- [ ] [Criterion 2] +- [ ] [...] + +**Testing Approach:** +* [Describe how the implementation of this decision will be tested] + +## References + +* [Architectural Review X.Y.Z](link-to-review) +* [Reference 1](link) +* [Reference 2](link) \ No newline at end of file diff --git a/.architecture/templates/config.yml b/.architecture/templates/config.yml new file mode 100644 index 0000000..c0e157a --- /dev/null +++ b/.architecture/templates/config.yml @@ -0,0 +1,393 @@ +# AI Software Architect Configuration +# This file controls operational modes and behavior of the architectural review framework + +# ============================================================================== +# PRAGMATIC GUARD MODE +# ============================================================================== +# The Pragmatic Guard Mode adds a specialized "Pragmatic Enforcer" architect +# who actively challenges complexity, questions abstractions, and pushes for +# the simplest solutions that meet current requirements. +# +# Enable this mode to guard against over-engineering and ensure YAGNI +# (You Aren't Gonna Need It) principles are applied rigorously. + +pragmatic_mode: + # Enable or disable Pragmatic Guard Mode + # Default: false (opt-in feature) + enabled: false + + # Intensity level controls how aggressively the Pragmatic Enforcer challenges + # complexity and pushes for simplicity + # + # - strict: Challenges aggressively, requires strong justification for any complexity + # Questions every "should" and "could", pushes for absolute minimal implementation + # + # - balanced: Challenges thoughtfully, accepts justified complexity (RECOMMENDED) + # Seeks middle ground between simplicity and best practices + # Questions "should" but accepts reasonable "must" + # + # - lenient: Raises concerns without blocking, suggests simpler alternatives as options + # Focuses on major complexity additions only + # Questions significant departures from simplicity + # + # Default: balanced + intensity: balanced + + # Control which review phases include the Pragmatic Enforcer + apply_to: + # Include in individual architect reviews + individual_reviews: true + + # Include in collaborative discussion phase + collaborative_discussions: true + + # Include when planning implementation steps + implementation_planning: true + + # Include during ADR (Architecture Decision Record) creation + adr_creation: true + + # Include in specific architect reviews (when user asks single architect) + specific_reviews: true + + # Exemptions: Areas where strict best practices should be maintained + # regardless of pragmatic mode intensity. The Pragmatic Enforcer will + # still participate but will not challenge security/compliance requirements. + exemptions: + # Never compromise on security-critical features + # Examples: authentication, authorization, encryption, input validation + security_critical: true + + # Never compromise on data integrity + # Examples: database transactions, data validation, backup strategies + data_integrity: true + + # Never compromise on compliance requirements + # Examples: GDPR, HIPAA, PCI-DSS, audit logging + compliance_required: true + + # Never compromise on accessibility requirements + # Examples: WCAG compliance, screen reader support + accessibility: true + + # Triggers: Situations that activate pragmatic analysis and challenges + # Disable specific triggers if you want to skip analysis for those cases + triggers: + # Challenge when adding new abstraction layers + # Examples: new interfaces, abstract base classes, dependency injection containers + new_abstraction_layer: true + + # Challenge when adding new external dependencies + # Examples: new libraries, frameworks, services + new_dependency: true + + # Challenge when introducing new architectural patterns + # Examples: repository pattern, strategy pattern, observer pattern + new_pattern_introduction: true + + # Challenge when expanding scope beyond initial requirements + # Examples: adding "nice to have" features, building for imagined future needs + scope_expansion: true + + # Challenge performance optimizations without evidence of problems + # Examples: caching layers, database indexes, query optimization + performance_optimization: true + + # Challenge comprehensive test infrastructure upfront + # Examples: full integration tests, E2E tests, property tests before code exists + test_infrastructure: true + + # Challenge adding flexibility or configurability + # Examples: feature flags, plugin systems, configuration frameworks + flexibility_addition: true + + # Thresholds: Numerical values that help determine when to challenge + thresholds: + # Minimum complexity score to trigger a challenge (0-10) + # Complexity is assessed by: abstraction layers, file count, dependencies, LOC + # Default: 5 (challenge moderate to high complexity) + min_complexity_score: 5 + + # Minimum necessity score to accept without challenge (0-10) + # Necessity is assessed by: current requirements, immediate value, cost of deferral + # Default: 7 (must be clearly necessary to skip challenge) + min_necessity_score: 7 + + # Maximum acceptable complexity-to-necessity ratio + # If complexity score / necessity score > threshold, challenge strongly + # Default: 1.5 (complexity should not exceed necessity by more than 50%) + max_complexity_ratio: 1.5 + + # Behavioral configuration + behavior: + # Require explicit justification for complexity + # When true, architects must proactively justify complex solutions + require_justification: true + + # Always propose simpler alternative + # When true, Pragmatic Enforcer always suggests a simpler approach + always_propose_alternative: true + + # Calculate and show cost of waiting + # When true, includes analysis of what happens if implementation is deferred + show_cost_of_waiting: true + + # Track deferred decisions + # When true, maintains a log of decisions deferred for future implementation + track_deferrals: true + + # Deferral log location + deferral_log: .architecture/deferrals.md + + # Question templates: Customize the questions the Pragmatic Enforcer asks + # Leave empty to use defaults + custom_questions: + necessity: [] + # - "Do we need this right now?" + # - "What breaks if we don't implement this?" + + simplicity: [] + # - "What's the simplest thing that could work?" + # - "Can we do this with less code?" + + cost: [] + # - "What's the cost of implementing this now?" + # - "What's the cost of waiting?" + + alternatives: [] + # - "What if we just...?" + # - "Could we use an existing tool?" + + best_practices: [] + # - "Does this best practice apply to our context?" + # - "Is this over-engineering for our scale?" + +# ============================================================================== +# IMPLEMENTATION GUIDANCE +# ============================================================================== +# Configure how AI assistants implement features when you use the command: +# "Implement X as the architects" +# +# This allows you to specify your development methodology, coding influences, +# and practices once, and have them applied consistently across all implementations. +# +# Benefits: +# - 90% reduction in prompt length (no more repeating preferences) +# - Consistent application of best practices +# - Team standards documented in version control +# - Better onboarding (new developers see documented practices) + +implementation: + # Enable or disable implementation guidance + # When enabled, "Implement X as the architects" will apply your configuration + # When disabled, implementations proceed without special guidance + # Default: true + enabled: true + + # Primary development methodology + # Specifies the overall approach to writing code + # Options: TDD, BDD, DDD, Test-Last, Exploratory, or custom + # + # - TDD (Test-Driven Development): Write tests first, red-green-refactor + # - BDD (Behavior-Driven Development): Behavior-focused tests, outside-in + # - DDD (Domain-Driven Design): Domain modeling, bounded contexts + # - Test-Last: Implementation first, tests after + # - Exploratory: Experiment, then codify + # + # Default: TDD + methodology: "TDD" + + # Coding influences - thought leaders whose practices to follow + # List specific books, talks, or articles that guide your approach + # + # Format: "Name - Source (focus area)" or just "Name - Source" + # + # Examples: + # - "Kent Beck - TDD by Example" + # - "Sandi Metz - POODR, 99 Bottles" + # - "Martin Fowler - Refactoring" + # - "Gary Bernhardt - Destroy All Software" + # - "Eric Evans - Domain-Driven Design" + # + # Can be organized as simple list or grouped by focus area + influences: + - "Kent Beck - TDD by Example (methodology fundamentals)" + - "Sandi Metz - POODR, 99 Bottles (OO design and refactoring)" + - "Martin Fowler - Refactoring (patterns and code smells)" + # Add more influences as needed + # - "Your favorite author - Their book/source" + + # Language-specific practices (optional) + # Customize for your project's primary language(s) + # Add sections for each language you use + languages: + # Example: Ruby configuration + # ruby: + # style_guide: "Rubocop" + # idioms: "Prefer blocks over loops, use meaningful method names" + # frameworks: + # rails: "Follow conventions but question them" + # sinatra: "Keep it simple" + + # Example: JavaScript/TypeScript configuration + # javascript: + # style_guide: "ESLint with Airbnb config" + # idioms: "Prefer const, use arrow functions, destructure" + # frameworks: + # react: "Functional components, hooks" + # vue: "Composition API" + + # Example: Python configuration + # python: + # style_guide: "PEP 8 via Black formatter" + # idioms: "Pythonic patterns, list comprehensions" + # frameworks: + # django: "Fat models, thin views" + # flask: "Keep it minimal" + + # Testing approach (optional) + # Specify your testing framework, style, and goals + testing: + # Testing framework to use + # framework: "RSpec" # or Minitest, Jest, pytest, JUnit, etc. + + # Testing style + # style: "Outside-in TDD" # or Inside-out, Detroit school, London school + + # Testing approach + # approach: "Mock judiciously, prefer real objects when practical" + + # Coverage goals + # coverage: "High for business logic, integration tests for critical paths" + + # Test speed targets + # speed: "Unit tests <100ms, integration tests <1s" + + # Refactoring guidelines (optional) + # When and how to refactor code + refactoring: + # When to refactor + # when: + # - "After tests green (red-green-REFACTOR)" + # - "When code smells emerge (long methods, duplication)" + # - "Rule of Three: refactor on third occurrence" + + # Refactoring principles + # principles: + # - "Small methods (≤5 lines per Sandi Metz)" + # - "Clear names over comments" + # - "Simple design over clever code" + + # Quality standards (optional) + # Define what "done" means for your team + quality: + # Definition of done checklist + # definition_of_done: + # - "Tests passing (all green)" + # - "Code refactored for clarity" + # - "No obvious code smells" + # - "Code reviewed by team" + # - "Documentation updated (if public API)" + + # Quality priorities (in order) + # priorities: + # - "Clarity first (code is read more than written)" + # - "Simplicity second (avoid premature abstraction)" + # - "Performance third (optimize when measured need exists)" + + # Security practices (optional but recommended) + # These are always applied, even with pragmatic_mode enabled + # Security practices are exempt from YAGNI challenges + security: + # Mandatory security practices + # Always applied regardless of other settings + # mandatory_practices: + # - "Input validation (whitelist approach)" + # - "Output encoding (context-aware)" + # - "Parameterized queries (no string concatenation)" + # - "Authentication checks (verify identity)" + # - "Authorization checks (verify permissions)" + + # Security influences + # influences: + # - "OWASP Secure Coding Practices" + # - "SEI CERT Coding Standards" + + # Performance considerations (optional) + # Configure performance-aware implementation + performance: + # Is this a performance-critical system? + # If true, adds performance-focused practices and influences + # critical: false + + # Performance practices + # practices: + # - "Profile before optimizing" + # - "Benchmark critical paths" + # - "Set performance budgets" + + # Performance influences (when critical: true) + # influences: + # - "Brendan Gregg - Systems Performance" + +# ============================================================================== +# GENERAL CONFIGURATION +# ============================================================================== + +# Review process configuration +review_process: + # Require all members to review before collaborative phase + require_all_members: true + + # Maximum time for individual review phase (for planning purposes) + max_individual_phase_days: 3 + + # Maximum time for collaborative discussion (for planning purposes) + max_collaborative_phase_days: 2 + +# Architecture Decision Record (ADR) configuration +adr: + # Numbering format: sequential | date-based + numbering_format: sequential + + # Require alternatives section + require_alternatives: true + + # Require validation criteria + require_validation: true + +# Member configuration +members: + # Path to members.yml file (relative to .architecture) + definition_file: members.yml + + # Allow dynamic member creation + # When true, new members can be added during reviews if expertise is needed + allow_dynamic_creation: true + +# Templates configuration +templates: + # Directory containing templates (relative to .architecture) + directory: templates + + # Auto-populate template metadata + auto_populate_metadata: true + +# Output configuration +output: + # Verbosity level: minimal | normal | detailed + verbosity: normal + + # Include reasoning in outputs + include_reasoning: true + + # Format: markdown | json | yaml + format: markdown + +# Version tracking +version: + # Current framework version + framework_version: "1.2.0" + + # Project architecture version (update with each major architecture change) + architecture_version: "1.0.0" diff --git a/.architecture/templates/deferrals.md b/.architecture/templates/deferrals.md new file mode 100644 index 0000000..a67de6b --- /dev/null +++ b/.architecture/templates/deferrals.md @@ -0,0 +1,338 @@ +# Deferred Architectural Decisions + +This document tracks architectural features, patterns, and complexity that have been consciously deferred for future implementation. Each deferral includes the rationale for waiting and clear trigger conditions for when it should be reconsidered. + +## Status Key + +- **Deferred**: Decision to defer is active, watching for trigger +- **Triggered**: Trigger condition met, needs implementation +- **Implemented**: Feature has been implemented (moved to ADR) +- **Cancelled**: No longer needed or relevant + +--- + +## Deferred Decisions + +### [Feature/Pattern Name] + +**Status**: Deferred +**Deferred Date**: YYYY-MM-DD +**Category**: [Architecture | Performance | Testing | Infrastructure | Security] +**Priority**: [Low | Medium | High] + +**What Was Deferred**: +[Brief description of the feature, pattern, or complexity that was deferred] + +**Original Proposal**: +[What was originally suggested - can quote from review or ADR] + +**Rationale for Deferring**: +- Current need score: [0-10] +- Complexity score: [0-10] +- Cost of waiting: [Low | Medium | High] +- Why deferring makes sense: [Explanation] + +**Simpler Current Approach**: +[What we're doing instead for now] + +**Trigger Conditions** (Implement when): +- [ ] [Specific condition 1 - make this measurable] +- [ ] [Specific condition 2] +- [ ] [Specific condition 3] + +**Implementation Notes**: +[Notes for when this is implemented - gotchas, considerations, references] + +**Related Documents**: +- [Link to ADR or review] +- [Link to discussion] + +**Last Reviewed**: YYYY-MM-DD + +--- + +## Example Entries + +### OAuth2 and SAML Authentication + +**Status**: Deferred +**Deferred Date**: 2024-01-15 +**Category**: Security +**Priority**: Medium + +**What Was Deferred**: +Support for OAuth2 and SAML authentication providers in addition to JWT + +**Original Proposal**: +Security Specialist recommended implementing comprehensive authentication middleware with support for OAuth2, SAML, and JWT with pluggable providers. + +**Rationale for Deferring**: +- Current need score: 3/10 (only JWT needed now) +- Complexity score: 8/10 (multiple abstractions, provider interfaces) +- Cost of waiting: Low +- All current requirements satisfied by JWT +- No confirmed need for other providers +- Can add later without major refactoring + +**Simpler Current Approach**: +JWT-only authentication with standard Express middleware. Clean interface makes adding other providers feasible later. + +**Trigger Conditions** (Implement when): +- [ ] Confirmed partner integration requiring OAuth2 +- [ ] Enterprise customer requiring SAML +- [ ] Three or more requests for alternative auth methods +- [ ] Strategic decision to support social login + +**Implementation Notes**: +When implementing: +- Extract current JWT logic into provider interface +- Ensure passport.js strategies are compatible +- Consider Auth0 or similar service instead of custom implementation +- Update user model to track auth provider + +**Related Documents**: +- ADR-005: Authentication System +- Review 1.0.0: Security Specialist section + +**Last Reviewed**: 2024-01-15 + +--- + +### Redis Caching Layer + +**Status**: Deferred +**Deferred Date**: 2024-01-15 +**Category**: Performance +**Priority**: Low + +**What Was Deferred**: +Redis-based caching layer with cache invalidation strategy + +**Original Proposal**: +Performance Specialist recommended implementing Redis caching for database queries, API responses, and session data with intelligent cache invalidation. + +**Rationale for Deferring**: +- Current need score: 2/10 (no performance problems) +- Complexity score: 9/10 (cache invalidation is hard) +- Cost of waiting: Zero until we have performance problems +- No evidence of slow operations +- Premature optimization +- Can optimize specific bottlenecks when they appear + +**Simpler Current Approach**: +No caching. Using database directly with optimized queries. Monitoring response times for degradation. + +**Trigger Conditions** (Implement when): +- [ ] Average response time > 500ms for key endpoints +- [ ] 95th percentile response time > 2 seconds +- [ ] Database CPU consistently > 70% +- [ ] Specific queries identified as bottlenecks via profiling +- [ ] Traffic exceeds 1000 req/sec + +**Implementation Notes**: +When implementing: +1. Profile first to identify actual bottlenecks +2. Start with simple in-memory cache for hot paths +3. Only add Redis if in-memory insufficient +4. Use cache-aside pattern +5. Consider read replicas before caching + +**Related Documents**: +- Review 1.0.0: Performance Specialist section +- Performance monitoring dashboard: [link] + +**Last Reviewed**: 2024-01-15 + +--- + +### Comprehensive Integration Test Suite + +**Status**: Deferred +**Deferred Date**: 2024-01-15 +**Category**: Testing +**Priority**: Medium + +**What Was Deferred**: +Full integration test suite with contract tests and property-based tests + +**Original Proposal**: +Maintainability Expert recommended comprehensive testing: unit tests, integration tests, contract tests, E2E tests, and property-based tests for all business logic. + +**Rationale for Deferring**: +- Current need score: 6/10 (tests needed but not all types) +- Complexity score: 8/10 (multiple frameworks, test data) +- Cost of waiting: Low (can add incrementally) +- Basic unit tests provide current value +- Can add test types as problems emerge +- Avoid testing implementation details that will change + +**Simpler Current Approach**: +Focused unit tests for business logic core and smoke tests for critical user flows. ~70% coverage on core domain logic. + +**Trigger Conditions** (Implement when): +- [ ] Integration failures between services (→ add integration tests) +- [ ] User-reported bugs in E2E flows (→ add E2E tests) +- [ ] Edge case bugs in business logic (→ add property tests) +- [ ] Contract breaking changes between teams (→ add contract tests) + +**Implementation Notes**: +When implementing: +- Add test types incrementally based on actual failures +- Integration tests: Start with most critical integration points +- E2E tests: Cover top 5 user journeys first +- Property tests: Focus on business logic with complex invariants +- Track which test types provide most value + +**Related Documents**: +- Review 1.0.0: Maintainability Expert section +- Testing strategy: [link] + +**Last Reviewed**: 2024-01-15 + +--- + +### Service Mesh (Istio/Linkerd) + +**Status**: Deferred +**Deferred Date**: 2024-01-15 +**Category**: Architecture +**Priority**: Low + +**What Was Deferred**: +Service mesh for microservices communication, observability, and traffic management + +**Original Proposal**: +Systems Architect recommended implementing service mesh (Istio or Linkerd) for service-to-service communication with circuit breakers, retries, and distributed tracing. + +**Rationale for Deferring**: +- Current need score: 3/10 (3 services, simple communication) +- Complexity score: 9/10 (major infrastructure, learning curve) +- Cost of waiting: Near zero (can add when needed) +- Current service count doesn't justify mesh complexity +- Simple HTTP with retries sufficient for now +- Major operational overhead for small benefit + +**Simpler Current Approach**: +Direct service-to-service HTTP calls with exponential backoff retry logic. Using standard HTTP health checks. + +**Trigger Conditions** (Implement when): +- [ ] Service count exceeds 10 +- [ ] Need circuit breakers for multiple services +- [ ] Need mTLS between services for security +- [ ] Need advanced traffic routing (canary, blue-green) +- [ ] Debugging service communication becomes difficult +- [ ] Need unified observability across services + +**Implementation Notes**: +When implementing: +- Evaluate Istio vs. Linkerd vs. newer alternatives +- Start with observability features first +- Phase in mTLS gradually +- Consider managed service mesh offerings +- Ensure team has time for learning curve +- Budget for operational overhead + +**Related Documents**: +- Review 2.0.0: Systems Architect section +- Current architecture diagram: [link] + +**Last Reviewed**: 2024-01-15 + +--- + +### Event Sourcing Architecture + +**Status**: Deferred +**Deferred Date**: 2024-01-15 +**Category**: Architecture +**Priority**: Low + +**What Was Deferred**: +Event sourcing pattern for capturing all changes as events + +**Original Proposal**: +Domain Expert recommended event sourcing to maintain complete audit trail and enable temporal queries. + +**Rationale for Deferring**: +- Current need score: 4/10 (audit trail needed, but basic version sufficient) +- Complexity score: 9/10 (major architectural change) +- Cost of waiting: Low (can add audit logging incrementally) +- Simple audit logging meets current compliance requirements +- Event sourcing is a one-way door decision +- Complexity of event sourcing not justified by current needs + +**Simpler Current Approach**: +Standard CRUD with audit logging table tracking changes to critical entities. Includes who, what, when for key operations. + +**Trigger Conditions** (Implement when): +- [ ] Need to reconstruct entity state at any point in time +- [ ] Current audit logging doesn't meet compliance requirements +- [ ] Need to replay events for new projections +- [ ] Temporal queries become core business requirement +- [ ] Need event-driven architecture for system integration + +**Implementation Notes**: +When implementing: +- Start with single bounded context, not whole system +- Choose event store carefully (EventStore, Kafka, custom) +- Plan migration strategy carefully +- Consider CQRS pattern alongside +- Ensure team understands event modeling +- This is a major architectural shift - not to be taken lightly + +**Related Documents**: +- Review 1.0.0: Domain Expert section +- Audit requirements: [link] +- Event sourcing investigation: [link] + +**Last Reviewed**: 2024-01-15 + +--- + +## Review Process + +This document should be reviewed: + +**Monthly**: Check for triggered conditions +- Review each deferred item +- Check if any trigger conditions have been met +- Update priority if context has changed + +**Quarterly**: Re-evaluate deferrals +- Are deferred items still relevant? +- Have requirements changed? +- Should priority be adjusted? +- Can any be cancelled? + +**During Architecture Reviews**: Reference deferrals +- Check if new features relate to deferrals +- Consider if triggered conditions met +- Avoid re-proposing already-deferred items +- Update relevant entries + +**When Triggers Met**: +1. Update status to "Triggered" +2. Create or update ADR for implementation +3. Plan implementation in next sprint/release +4. Reference this deferral in the ADR +5. After implementation, update status to "Implemented" + +## Metrics + +Track deferral outcomes to improve decision-making: + +| Metric | Value | Notes | +|--------|-------|-------| +| Total deferrals | [count] | All-time count | +| Active deferrals | [count] | Currently deferred | +| Triggered awaiting implementation | [count] | Need to address | +| Implemented | [count] | Were eventually needed | +| Cancelled | [count] | Were never needed | +| Average time before trigger | [days] | How long before we needed it | +| Hit rate (implemented/total) | [%] | How often deferred things are needed | + +**Target**: < 40% hit rate (most deferred things remain unneeded, validating deferral decisions) + +--- + +*This template should be copied to `.architecture/deferrals.md` in each project using pragmatic mode.* diff --git a/.architecture/templates/implementation_roadmap.md b/.architecture/templates/implementation_roadmap.md new file mode 100644 index 0000000..86d73e4 --- /dev/null +++ b/.architecture/templates/implementation_roadmap.md @@ -0,0 +1,125 @@ +# Implementation Roadmap for Version X.Y.Z + +## Overview + +This document outlines the implementation plan for architectural changes identified in the recalibration plan for version X.Y.Z. It breaks down high-level architectural changes into implementable tasks, assigns them to specific versions, and establishes acceptance criteria. + +## Target Versions + +This roadmap covers the following versions: +- **X.Y.Z**: [Brief description of focus] +- **X.Y.(Z+1)**: [Brief description of focus] +- **X.(Y+1).0**: [Brief description of focus] + +## Implementation Areas + +### [Area 1: e.g., Component Decomposition] + +**Overall Goal**: [Describe the high-level architectural goal for this area] + +#### Tasks for Version X.Y.Z + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| [A1.1] | [Detailed task description] | [Dependencies] | [Low/Medium/High] | [Owner] | [Test requirements] | +| [A1.2] | [...] | [...] | [...] | [...] | [...] | + +**Acceptance Criteria**: +- [ ] [Criterion 1] +- [ ] [Criterion 2] +- [ ] [...] + +#### Tasks for Version X.Y.(Z+1) + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| [A1.3] | [Detailed task description] | [Dependencies] | [Low/Medium/High] | [Owner] | [Test requirements] | +| [A1.4] | [...] | [...] | [...] | [...] | [...] | + +**Acceptance Criteria**: +- [ ] [Criterion 1] +- [ ] [Criterion 2] +- [ ] [...] + +### [Area 2: e.g., Security Enhancements] + +**Overall Goal**: [Describe the high-level architectural goal for this area] + +#### Tasks for Version X.Y.Z + +| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | +|---------|-------------|--------------|------------|-------|----------------| +| [B1.1] | [Detailed task description] | [Dependencies] | [Low/Medium/High] | [Owner] | [Test requirements] | +| [B1.2] | [...] | [...] | [...] | [...] | [...] | + +**Acceptance Criteria**: +- [ ] [Criterion 1] +- [ ] [Criterion 2] +- [ ] [...] + +## Implementation Approach + +### Breaking vs. Non-Breaking Changes + +[Describe the approach to handling breaking changes, including deprecation policy, backward compatibility strategies, etc.] + +### Feature Flags + +[Document any feature flags that will be used to control the rollout of new architectural components] + +| Flag Name | Purpose | Default Value | Removal Version | +|-----------|---------|---------------|-----------------| +| [Flag name] | [Purpose] | [true/false] | [Version] | + +### Migration Support + +[Detail any migration utilities, scripts, or guidance that will be provided to help users adapt to architectural changes] + +## Testing Strategy + +### Component Tests + +[Describe the approach to testing individual architectural components] + +### Integration Tests + +[Describe the approach to testing integration between components] + +### Migration Tests + +[Describe the approach to testing migration paths from previous versions] + +## Documentation Plan + +| Document | Update Required | Responsible | Deadline | +|----------|-----------------|-------------|----------| +| [Document name] | [Description of update needed] | [Responsible person] | [Date] | + +## Risk Assessment + +| Risk | Impact | Likelihood | Mitigation Strategy | +|------|--------|------------|---------------------| +| [Risk description] | [High/Medium/Low] | [High/Medium/Low] | [Mitigation approach] | + +## Timeline + +| Milestone | Target Date | Dependencies | Owner | +|-----------|-------------|--------------|-------| +| [Milestone description] | [Date] | [Dependencies] | [Owner] | + +## Progress Tracking + +Progress on this implementation roadmap will be tracked in: +- [Link to tracking tool/document] +- [Link to relevant GitHub projects/issues] + +## Appendices + +### A. Architecture Diagrams + +[Include or link to relevant architecture diagrams] + +### B. Relevant ADRs + +- [ADR-XXX: Title](link-to-adr) +- [ADR-YYY: Title](link-to-adr) \ No newline at end of file diff --git a/.architecture/templates/progress_tracking.md b/.architecture/templates/progress_tracking.md new file mode 100644 index 0000000..4071c21 --- /dev/null +++ b/.architecture/templates/progress_tracking.md @@ -0,0 +1,89 @@ +# Architectural Changes Progress Tracking + +## Overview + +This document tracks the implementation progress of architectural changes identified in the recalibration plan for version X.Y.Z. It is updated regularly to reflect current status and any adjustments to the implementation approach. + +**Last Updated**: [DATE] + +## Executive Summary + +| Category | Total Items | Completed | In Progress | Not Started | Deferred | +|----------|-------------|-----------|-------------|-------------|----------| +| Architectural Changes | [Number] | [Number] | [Number] | [Number] | [Number] | +| Implementation Improvements | [Number] | [Number] | [Number] | [Number] | [Number] | +| Documentation Enhancements | [Number] | [Number] | [Number] | [Number] | [Number] | +| Process Adjustments | [Number] | [Number] | [Number] | [Number] | [Number] | +| **TOTAL** | [Number] | [Number] | [Number] | [Number] | [Number] | + +**Completion Percentage**: [X%] + +## Detailed Status + +### Architectural Changes + +| ID | Recommendation | Priority | Status | Target Version | Actual Version | Notes | +|----|---------------|----------|--------|----------------|----------------|-------| +| A1 | [Brief description] | [Priority] | [Not Started/In Progress/Completed/Deferred] | [Version] | [Actual version or N/A] | [Current status notes] | + +### Implementation Improvements + +| ID | Recommendation | Priority | Status | Target Version | Actual Version | Notes | +|----|---------------|----------|--------|----------------|----------------|-------| +| I1 | [Brief description] | [Priority] | [Not Started/In Progress/Completed/Deferred] | [Version] | [Actual version or N/A] | [Current status notes] | + +### Documentation Enhancements + +| ID | Recommendation | Priority | Status | Target Version | Actual Version | Notes | +|----|---------------|----------|--------|----------------|----------------|-------| +| D1 | [Brief description] | [Priority] | [Not Started/In Progress/Completed/Deferred] | [Version] | [Actual version or N/A] | [Current status notes] | + +### Process Adjustments + +| ID | Recommendation | Priority | Status | Target Version | Actual Version | Notes | +|----|---------------|----------|--------|----------------|----------------|-------| +| P1 | [Brief description] | [Priority] | [Not Started/In Progress/Completed/Deferred] | [Version] | [Actual version or N/A] | [Current status notes] | + +## Implementation Adjustments + +This section documents any adjustments made to the implementation approach since the original recalibration plan. + +| ID | Original Approach | Adjusted Approach | Rationale | Impact | +|----|-------------------|-------------------|-----------|--------| +| [ID] | [Description] | [Description] | [Reason for change] | [Impact of change] | + +## Milestone Progress + +| Milestone | Target Date | Status | Actual/Projected Completion | Notes | +|-----------|-------------|--------|---------------------------|-------| +| [Milestone] | [Date] | [Not Started/In Progress/Completed/Delayed] | [Date] | [Notes] | + +## Blocked Items + +| ID | Blocker Description | Impact | Owner | Resolution Plan | Projected Resolution Date | +|----|---------------------|--------|-------|-----------------|---------------------------| +| [ID] | [Description] | [Impact] | [Owner] | [Plan] | [Date] | + +## Recently Completed Items + +| ID | Description | Completion Date | Implemented In | Implementation Notes | +|----|-------------|-----------------|----------------|----------------------| +| [ID] | [Description] | [Date] | [Version] | [Notes] | + +## Next Check-in + +The next progress check-in meeting is scheduled for [DATE]. + +## Appendices + +### A. Test Coverage Report + +[Summary of test coverage for implemented architectural changes] + +### B. Documentation Status + +[Summary of documentation updates status] + +### C. Quality Metrics + +[Key quality metrics for implemented architectural changes] \ No newline at end of file diff --git a/.architecture/templates/recalibration_plan.md b/.architecture/templates/recalibration_plan.md new file mode 100644 index 0000000..25ef7af --- /dev/null +++ b/.architecture/templates/recalibration_plan.md @@ -0,0 +1,70 @@ +# Architectural Recalibration Plan: Version X.Y.Z + +## Overview + +This document outlines the action plan derived from the architectural review of version X.Y.Z. It categorizes and prioritizes recommendations to guide implementation across upcoming releases. + +## Review Summary + +- Review Date: [DATE] +- Review Document: [LINK TO REVIEW] +- Participants: [LIST OF PARTICIPANTS] + +## Action Items + +### Architectural Changes + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| A1 | [Brief description] | [Critical/High/Medium/Low] | [Owner] | [Version] | [Dependencies] | [Additional context] | + +### Implementation Improvements + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| I1 | [Brief description] | [Critical/High/Medium/Low] | [Owner] | [Version] | [Dependencies] | [Additional context] | + +### Documentation Enhancements + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| D1 | [Brief description] | [Critical/High/Medium/Low] | [Owner] | [Version] | [Dependencies] | [Additional context] | + +### Process Adjustments + +| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | +|----|---------------|----------|-------|----------------|--------------|-------| +| P1 | [Brief description] | [Critical/High/Medium/Low] | [Owner] | [Version] | [Dependencies] | [Additional context] | + +## Technical Debt Items + +Items identified in the review that won't be addressed immediately but should be tracked: + +| ID | Description | Impact | Potential Resolution Timeframe | +|----|-------------|--------|--------------------------------| +| TD1 | [Description] | [Low/Medium/High] | [Timeframe] | + +## Decision Records + +List of Architectural Decision Records (ADRs) that need to be created or updated based on the review: + +| ADR ID | Title | Status | Owner | Target Completion | +|--------|-------|--------|-------|-------------------| +| ADR-XXX | [Title] | [Draft/Proposed/Accepted] | [Owner] | [Date] | + +## Timeline + +Overview of the recalibration implementation timeline: + +- Analysis & Prioritization: [Start Date] - [End Date] +- Architectural Plan Update: [Start Date] - [End Date] +- Documentation Refresh: [Start Date] - [End Date] +- Implementation Roadmapping: [Start Date] - [End Date] + +## Next Steps + +Immediate next actions to be taken: + +1. [Action 1] +2. [Action 2] +3. [Action 3] \ No newline at end of file diff --git a/.architecture/templates/review-template.md b/.architecture/templates/review-template.md new file mode 100644 index 0000000..a9a6434 --- /dev/null +++ b/.architecture/templates/review-template.md @@ -0,0 +1,374 @@ +# Architectural Review: Version X.Y.Z + +## Overview + +This document contains the comprehensive architectural review for version X.Y.Z, conducted from [START DATE] to [END DATE]. The review evaluates the current architecture against project goals, industry best practices, and future requirements. + +## Review Details + +- **Version Reviewed**: X.Y.Z +- **Review Period**: [START DATE] - [END DATE] +- **Review Team**: [NAMES OR ROLES] +- **Review Methodology**: [DESCRIPTION OF REVIEW PROCESS] + +## Senior Thinking Checklist + +> **Note**: This checklist frames the architectural review by externalizing the "silent questions" that senior engineers ask before diving into technical details. Each reviewer should consider these questions from their specialist perspective. + +Before diving into detailed strengths and weaknesses, reviewers should address these framing questions: + +### Change Characterization +- **Nature of changes in this version**: Are we introducing new ideas, or expressing existing ones in new places? +- **Architectural depth**: Do changes belong at the surface (API, UX) or deep in the system? +- **Conceptual alignment**: How well do changes align with existing architectural patterns and domain model? + +### Spread Analysis +- **Pattern propagation**: If the patterns/approaches in this version spread across the codebase, is that desirable or a liability? +- **Consistency impact**: Do these changes establish patterns we want repeated or should be contained? +- **Technical debt trajectory**: Are we creating consistency or divergence? + +### Blast Radius Assessment +- **Failure scope**: What's the blast radius if these changes are wrong and need to be undone? +- **Component coupling**: Which components/services/modules are directly affected? +- **Team impact**: Which teams need to coordinate if changes fail or evolve? +- **User impact**: What's the user-facing risk if this goes wrong? + +### Reversibility Analysis +- **Rollback feasibility**: How easily can these changes be reversed if needed? +- **Migration complexity**: What migration paths exist for reverting or evolving? +- **Option preservation**: Do these changes keep future options open or close doors? +- **Commitment level**: Are we making reversible decisions or permanent commitments? + +### Timing & Sequencing +- **System readiness**: Is the system technically ready for these changes? + - Do we have adequate observability? + - Are dependencies stable? + - Is infrastructure sufficient? +- **Team readiness**: Is the team prepared for these changes? + - Do they understand the patterns being introduced? + - Do they have necessary skills? + - Is documentation adequate? +- **Sequencing concerns**: Are there prerequisites that should have come first? +- **Coordination needs**: What cross-team coordination is required? + +### Social Cost Evaluation +- **Complexity burden**: Will these changes confuse more people than they help? +- **Learning curve**: What's the onboarding impact for new team members? +- **Cognitive load**: How much mental overhead do these patterns add? +- **Documentation needs**: What explanation is required for maintainability? + +### Confidence Assessment +- **Model correctness**: Are we confident in the architectural model, not just the implementation? +- **Test coverage**: Could tests pass while the model is still wrong? +- **Assumption validation**: What assumptions underpin these changes? How validated are they? +- **Edge cases**: What edge cases might not be captured by current testing? + +### Overall Architectural Direction +- **Alignment**: Do these changes move us toward or away from target architecture? +- **Evolution path**: Do they represent progress on our architectural evolution journey? +- **Technical debt**: Do they add to, reduce, or shift technical debt? + +--- + +*Each specialist reviewer should consider these questions through their domain lens before providing detailed technical analysis.* + +## Executive Summary + +[A concise summary of the review's key findings, major recommendations, and overall architectural health assessment. This should highlight critical areas that need attention and strengths to preserve.] + +**Overall Architecture Health**: [Excellent/Good/Fair/Concerning/Critical] + +**Key Strengths**: +- [Strength 1] +- [Strength 2] +- [Strength 3] + +**Critical Concerns**: +- [Concern 1] +- [Concern 2] +- [Concern 3] + +## Individual Perspectives + +### Systems Architect Review + +**Reviewer**: [NAME] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### Domain Expert Review + +**Reviewer**: [NAME] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### Security Specialist Review + +**Reviewer**: [NAME] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### Maintainability Expert Review + +**Reviewer**: [NAME] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### Performance Specialist Review + +**Reviewer**: [NAME] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### Implementation Strategist Review + +**Reviewer**: [NAME] + +**Blast Radius Analysis**: +- [Assessment of change impact scope] +- [Components/teams/users affected] +- [Risk level and mitigation strategies] + +**Reversibility Assessment**: +- [How easily changes can be rolled back] +- [Migration paths for evolution or reversal] +- [Options preserved vs. doors closed] + +**Timing & Readiness**: +- **System Readiness**: [Technical readiness assessment] +- **Team Readiness**: [Skill and understanding assessment] +- **Sequencing Concerns**: [Prerequisites or coordination needs] + +**Social Cost**: +- [Learning curve and cognitive load impact] +- [Clarity vs. confusion trade-offs] +- [Documentation and training needs] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### AI Engineer Review + +**Reviewer**: [NAME] + +**Strengths**: +- [Strength 1] +- [Strength 2] +- [...] + +**Weaknesses**: +- [Weakness 1] +- [Weakness 2] +- [...] + +**Recommendations**: +- [Recommendation 1] +- [Recommendation 2] +- [...] + +### Pragmatic Enforcer Review + +**Reviewer**: [NAME] +**Mode**: [Strict | Balanced | Lenient] + +**Note**: *This section only appears when pragmatic_mode is enabled in `.architecture/config.yml`* + +**Overall Simplicity Assessment**: +[High-level assessment of whether the architecture and recommendations maintain appropriate simplicity or show signs of over-engineering] + +**Strengths**: +- [Areas where simplicity is maintained well] +- [Good examples of appropriate complexity] +- [Well-justified abstractions] + +**Concerns**: +- [Areas of potentially unnecessary complexity] +- [Abstractions that may be premature] +- [Features that might be YAGNI violations] + +**Challenges to Recommendations**: + +#### Challenge to [Architect Role] + +**Original Recommendation**: "[Quote the recommendation being challenged]" + +**Necessity Assessment**: [Score 0-10] +- **Current need**: [Why this is/isn't needed right now] +- **Future need**: [Likelihood and timeframe for actual need] +- **Cost of waiting**: [What happens if we defer this] + +**Complexity Assessment**: [Score 0-10] +- **Added complexity**: [What complexity this introduces] +- **Maintenance burden**: [Ongoing cost to maintain] +- **Learning curve**: [Impact on team/new developers] + +**Simpler Alternative**: +[Concrete proposal for a simpler approach that meets current actual requirements] + +**Recommendation**: [✅ Implement now | ⚠️ Implement simplified version | ⏸️ Defer until needed | ❌ Skip entirely] + +**Justification**: +[Clear reasoning for the recommendation, balancing current needs vs future flexibility] + +--- + +*[Repeat the Challenge section for each significant recommendation from other architects]* + +**Summary Recommendations**: +1. [Key recommendation 1 with action: implement/simplify/defer/skip] +2. [Key recommendation 2 with action] +3. [...] + +**Deferred Decisions** (tracked in `.architecture/deferrals.md`): +- [Feature/pattern being deferred] → Trigger: [condition] +- [Feature/pattern being deferred] → Trigger: [condition] + +## Collaborative Analysis + +This section reflects the consensus reached after cross-functional discussion of individual findings. + +### Consolidated Strengths + +1. [Strength 1] - [Brief explanation] +2. [Strength 2] - [Brief explanation] +3. [...] + +### Consolidated Weaknesses + +1. [Weakness 1] - [Brief explanation] +2. [Weakness 2] - [Brief explanation] +3. [...] + +### Prioritized Improvements + +**Critical (Address in next release)**: +1. [Improvement 1] +2. [Improvement 2] + +**High (Address within next 2 releases)**: +1. [Improvement 3] +2. [Improvement 4] + +**Medium (Address within next 3-4 releases)**: +1. [Improvement 5] +2. [Improvement 6] + +**Low (Address as resources permit)**: +1. [Improvement 7] +2. [Improvement 8] + +## Technical Debt Assessment + +| Area | Current Debt Level | Trend | Impact | Notes | +|------|-------------------|-------|--------|-------| +| [Area 1] | [High/Medium/Low] | [Increasing/Stable/Decreasing] | [High/Medium/Low] | [Notes] | +| [Area 2] | [...] | [...] | [...] | [...] | + +## Architectural Evolution + +### Current Architecture vs. Target Architecture + +[Describe the gap between the current architecture and where it needs to be in the future. Include diagrams if helpful.] + +### Migration Path + +[Outline a high-level path for evolving from the current architecture to the target state, considering backward compatibility, phasing, and risk mitigation.] + +## Conclusion + +[Summarize the review's key points and provide a clear path forward. Emphasize both immediate actions and longer-term directions.] + +## Appendices + +### A. Review Methodology + +[Detailed description of the review process, including any tools, frameworks, or metrics used.] + +### B. Architecture Diagrams + +[Current architecture diagrams and any proposed future state diagrams.] + +### C. Metrics Analysis + +[Quantitative analysis of architectural metrics, if available.] + +### D. Referenced Documents + +[List of documents referenced during the review.] \ No newline at end of file diff --git a/.architecture/templates/version_comparison.md b/.architecture/templates/version_comparison.md new file mode 100644 index 0000000..772867c --- /dev/null +++ b/.architecture/templates/version_comparison.md @@ -0,0 +1,156 @@ +# Version Comparison: [Old Version] to [New Version] + +## Overview + +This document provides a comprehensive comparison between version [Old Version] and [New Version], focusing on architectural changes, their impact, and migration considerations. + +## Architectural Changes + +### Major Changes + +| ID | Description | ADR Reference | Impact Level | +|----|-------------|--------------|--------------| +| M1 | [Brief description of major change] | [ADR-XXX](link-to-adr) | [High/Medium/Low] | +| M2 | [...] | [...] | [...] | + +### Minor Changes + +| ID | Description | ADR Reference | Impact Level | +|----|-------------|--------------|--------------| +| m1 | [Brief description of minor change] | [ADR-XXX](link-to-adr) or N/A | [High/Medium/Low] | +| m2 | [...] | [...] | [...] | + +### Deprecated Components + +| Component | Replacement | Deprecation Notice Added | Planned Removal Version | +|-----------|-------------|--------------------------|-------------------------| +| [Component name] | [Replacement component] | [Yes/No] | [Version] | + +## Before/After Analysis + +### [Component/Area 1] + +**Before:** +``` +[Diagram or code snippet showing the component before changes] +``` + +**After:** +``` +[Diagram or code snippet showing the component after changes] +``` + +**Key Differences:** +* [Difference 1] +* [Difference 2] +* [...] + +### [Component/Area 2] + +**Before:** +``` +[Diagram or code snippet showing the component before changes] +``` + +**After:** +``` +[Diagram or code snippet showing the component after changes] +``` + +**Key Differences:** +* [Difference 1] +* [Difference 2] +* [...] + +## Impact Analysis + +### Developer Experience + +| Aspect | Change | Impact | +|--------|--------|--------| +| API Usability | [Improved/Degraded/Unchanged] | [Description of impact] | +| Documentation | [Improved/Degraded/Unchanged] | [Description of impact] | +| Development Workflow | [Improved/Degraded/Unchanged] | [Description of impact] | +| Testing | [Improved/Degraded/Unchanged] | [Description of impact] | + +### Performance Characteristics + +| Metric | Before | After | Change (%) | Notes | +|--------|--------|-------|-----------|-------| +| [Metric 1] | [Value] | [Value] | [%] | [Notes] | +| [Metric 2] | [...] | [...] | [...] | [...] | + +### Security Posture + +| Security Aspect | Change | Impact | +|-----------------|--------|--------| +| Authentication | [Improved/Degraded/Unchanged] | [Description of impact] | +| Authorization | [Improved/Degraded/Unchanged] | [Description of impact] | +| Data Protection | [Improved/Degraded/Unchanged] | [Description of impact] | +| Attack Surface | [Reduced/Increased/Unchanged] | [Description of impact] | + +### Maintainability Metrics + +| Metric | Before | After | Change | Notes | +|--------|--------|-------|--------|-------| +| Code Complexity | [Value] | [Value] | [Change] | [Notes] | +| Test Coverage | [Value] | [Value] | [Change] | [Notes] | +| Coupling | [Value] | [Value] | [Change] | [Notes] | +| Cohesion | [Value] | [Value] | [Change] | [Notes] | + +### Observability Capabilities + +| Capability | Before | After | Change | Notes | +|------------|--------|-------|--------|-------| +| Logging | [Description] | [Description] | [Improved/Degraded/Unchanged] | [Notes] | +| Metrics | [Description] | [Description] | [Improved/Degraded/Unchanged] | [Notes] | +| Tracing | [Description] | [Description] | [Improved/Degraded/Unchanged] | [Notes] | +| Alerting | [Description] | [Description] | [Improved/Degraded/Unchanged] | [Notes] | + +## Implementation Deviations + +This section documents where the implemented changes differed from the original recommendations in the architectural review and recalibration plan. + +| ID | Original Recommendation | Actual Implementation | Rationale | +|----|-------------------------|----------------------|-----------| +| [ID] | [Description] | [Description] | [Explanation] | + +## Migration Guide + +### Breaking Changes + +| Change | Migration Path | Complexity | Tools Available | +|--------|---------------|------------|-----------------| +| [Change description] | [How to migrate] | [High/Medium/Low] | [Tools or scripts] | + +### Update Steps + +1. [Step 1] +2. [Step 2] +3. [...] + +### Code Examples + +**Before:** +``` +[Code example before migration] +``` + +**After:** +``` +[Code example after migration] +``` + +## Appendices + +### A. Performance Test Results + +[Detailed performance test results] + +### B. Security Assessment + +[Security assessment details] + +### C. User Feedback + +[Summary of any user feedback on the changes] \ No newline at end of file diff --git a/.architecture/tools/README.md b/.architecture/tools/README.md new file mode 100644 index 0000000..fcd85e3 --- /dev/null +++ b/.architecture/tools/README.md @@ -0,0 +1,184 @@ +# Documentation Governance Tools + +Automated tools supporting ADR-005 (LLM Instruction Capacity Constraints) and ADR-006 (Progressive Disclosure Pattern). + +## Overview + +These tools help maintain documentation quality during quarterly reviews by: +- Validating internal markdown links +- Counting discrete instructions +- Checking compliance with instruction capacity targets + +## Installation + +```bash +cd tools +npm install +``` + +## Usage + +### Validate Links + +Check all markdown links in `.architecture/`: + +```bash +npm run validate +``` + +Check specific directory: + +```bash +npm run validate ../path/to/docs +``` + +**What it checks:** +- Internal markdown links (file paths) +- Relative path resolution +- File existence +- Anchor links (file checked, anchor skipped) + +**Ignores:** +- External HTTP/HTTPS URLs +- Anchor-only links (#heading) + +### Count Instructions + +Count instructions in AGENTS.md and CLAUDE.md: + +```bash +npm run count +``` + +Count specific files: + +```bash +npm run count ../AGENTS.md +npm run count ../AGENTS.md ../CLAUDE.md ../custom.md +``` + +**What it counts:** +- Commands (Create, Follow, Apply, etc.) +- Conditionals (If/When/Unless + colon) +- Procedures (Numbered steps with action verbs) +- Guidelines (Keep, Never, Must, Always, Should) + +**Ignores:** +- Informational content +- Markdown headings +- Examples +- Human-only references + +**Targets:** +- AGENTS.md: < 150 instructions +- CLAUDE.md: < 30 instructions + +## Testing + +Run all tests: + +```bash +npm test +``` + +Watch mode: + +```bash +npm run test:watch +``` + +**Test Coverage:** +- Link validator: 9 tests +- Instruction counter: 7 tests +- Total: 16 tests + +## Architecture + +``` +tools/ +├── lib/ +│ ├── link-validator.js # Link extraction and validation +│ └── instruction-counter.js # Instruction pattern matching +├── test/ +│ ├── link-validator.test.js +│ └── instruction-counter.test.js +├── cli.js # Command-line interface +├── package.json +└── README.md +``` + +### Link Validator + +**Functions:** +- `validateLinks(content, filePath)` - Extract internal links from markdown +- `checkLinks(links, baseDir)` - Verify link targets exist + +**Algorithm:** +1. Parse markdown for `[text](url)` patterns +2. Filter external URLs and anchor-only links +3. Resolve relative paths from source file +4. Check file existence on filesystem + +### Instruction Counter + +**Functions:** +- `countInstructions(content)` - Count discrete instructions by category + +**Algorithm:** +1. Remove markdown headings +2. Process line-by-line +3. Match against instruction patterns (most specific first) +4. Filter exclusions (informational content) +5. Categorize and count + +**Methodology:** Implements [.architecture/instruction-counting-methodology.md](../.architecture/instruction-counting-methodology.md) + +## Development + +Built with TDD following: +- **Gary Bernhardt**: Concise, focused commits +- **Sandi Metz**: Clear, simple logic with single responsibility +- **Kent Beck**: Test-first, refactor after green + +**Principles applied:** +- Red-Green-Refactor cycle +- Small, incremental commits +- No premature abstraction +- Line-by-line clarity over cleverness + +## Integration with Quarterly Review + +These tools support the quarterly review process defined in [.architecture/quarterly-review-process.md](../.architecture/quarterly-review-process.md): + +**Phase 1: Instruction Capacity Audit** +```bash +npm run count +``` + +**Phase 2: Quality Assessment** +```bash +npm run validate +``` + +Use these tools to: +- Verify instruction counts haven't exceeded targets +- Check for broken links before releases +- Validate documentation structure +- Track metrics over time + +## Future Enhancements + +Possible additions (YAGNI - only add if needed): +- Anchor validation (parse target files for headings) +- Automated metrics tracking (append to documentation-metrics.md) +- GitHub Actions integration +- HTML report generation +- Instruction pattern customization + +## References + +- [ADR-005: LLM Instruction Capacity Constraints](../.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) +- [ADR-006: Progressive Disclosure Pattern](../.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md) +- [Documentation Guidelines](../.architecture/documentation-guidelines.md) +- [Quarterly Review Process](../.architecture/quarterly-review-process.md) +- [Instruction Counting Methodology](../.architecture/instruction-counting-methodology.md) diff --git a/.architecture/tools/cli.js b/.architecture/tools/cli.js new file mode 100755 index 0000000..9f8201a --- /dev/null +++ b/.architecture/tools/cli.js @@ -0,0 +1,184 @@ +#!/usr/bin/env node + +/** + * Documentation Governance CLI + * + * Tools for maintaining documentation quality per ADR-005/006 + */ + +import { readFileSync, readdirSync, statSync } from 'node:fs'; +import { join, resolve } from 'node:path'; +import { validateLinks, checkLinks } from './lib/link-validator.js'; +import { countInstructions } from './lib/instruction-counter.js'; + +const [,, command, ...args] = process.argv; + +const COMMANDS = { + validate: validateCommand, + count: countCommand, + help: helpCommand +}; + +async function main() { + const cmd = COMMANDS[command]; + + if (!cmd) { + console.error(`Unknown command: ${command}`); + helpCommand(); + process.exit(1); + } + + try { + await cmd(args); + } catch (error) { + console.error('Error:', error.message); + process.exit(1); + } +} + +/** + * Validate markdown links in documentation + */ +function validateCommand(args) { + const dir = args[0] || '../.architecture'; + const basePath = resolve(dir); + + console.log(`\n📋 Validating links in ${basePath}...\n`); + + const mdFiles = findMarkdownFiles(basePath); + let totalValid = 0; + let totalBroken = 0; + + for (const file of mdFiles) { + const content = readFileSync(file, 'utf8'); + const relPath = file.replace(basePath + '/', ''); + const links = validateLinks(content, relPath); + + if (links.length === 0) continue; + + const result = checkLinks(links, basePath); + + if (result.broken.length > 0) { + console.log(`❌ ${relPath}:`); + for (const link of result.broken) { + console.log(` Line ${link.line}: ${link.target}`); + } + totalBroken += result.broken.length; + } + + totalValid += result.valid.length; + } + + console.log(`\n✅ ${totalValid} valid links`); + if (totalBroken > 0) { + console.log(`❌ ${totalBroken} broken links\n`); + process.exit(1); + } else { + console.log(`✨ All links valid!\n`); + } +} + +/** + * Count instructions in key documentation files + */ +function countCommand(args) { + const files = args.length > 0 ? args : ['../AGENTS.md', '../CLAUDE.md']; + + console.log(`\n📊 Counting instructions...\n`); + + let grandTotal = 0; + + for (const file of files) { + const path = resolve(file); + const content = readFileSync(path, 'utf8'); + const result = countInstructions(content); + + const filename = file.split('/').pop(); + console.log(`${filename}:`); + console.log(` Commands: ${result.commands.length}`); + console.log(` Conditionals: ${result.conditionals.length}`); + console.log(` Procedures: ${result.procedures.length}`); + console.log(` Guidelines: ${result.guidelines.length}`); + console.log(` Total: ${result.total}`); + console.log(''); + + grandTotal += result.total; + } + + console.log(`Grand Total: ${grandTotal}\n`); + + // Check against targets + if (files.includes('../AGENTS.md')) { + const agentsContent = readFileSync(resolve('../AGENTS.md'), 'utf8'); + const agentsCount = countInstructions(agentsContent).total; + if (agentsCount > 150) { + console.log(`⚠️ AGENTS.md exceeds target (${agentsCount} > 150)\n`); + process.exit(1); + } else { + console.log(`✅ AGENTS.md within target (${agentsCount} <= 150)\n`); + } + } + + if (files.includes('../CLAUDE.md')) { + const claudeContent = readFileSync(resolve('../CLAUDE.md'), 'utf8'); + const claudeCount = countInstructions(claudeContent).total; + if (claudeCount > 30) { + console.log(`⚠️ CLAUDE.md exceeds target (${claudeCount} > 30)\n`); + process.exit(1); + } else { + console.log(`✅ CLAUDE.md within target (${claudeCount} <= 30)\n`); + } + } +} + +/** + * Show help + */ +function helpCommand() { + console.log(` +Documentation Governance Tools + +Usage: + npm run validate [dir] Validate markdown links (default: ../.architecture) + npm run count [files...] Count instructions (default: ../AGENTS.md ../CLAUDE.md) + +Examples: + npm run validate + npm run validate ../.architecture + npm run count + npm run count ../AGENTS.md + npm run count ../AGENTS.md ../CLAUDE.md + +Supports ADR-005/006 quarterly review process. + `); +} + +/** + * Find all markdown files recursively + */ +function findMarkdownFiles(dir) { + const files = []; + + function walk(currentDir) { + const entries = readdirSync(currentDir); + + for (const entry of entries) { + const fullPath = join(currentDir, entry); + const stat = statSync(fullPath); + + if (stat.isDirectory()) { + // Skip node_modules and hidden dirs + if (!entry.startsWith('.') && entry !== 'node_modules') { + walk(fullPath); + } + } else if (entry.endsWith('.md')) { + files.push(fullPath); + } + } + } + + walk(dir); + return files; +} + +main(); diff --git a/.architecture/tools/package.json b/.architecture/tools/package.json new file mode 100644 index 0000000..53a2b66 --- /dev/null +++ b/.architecture/tools/package.json @@ -0,0 +1,15 @@ +{ + "name": "architecture-tools", + "version": "1.0.0", + "description": "Documentation governance tools for AI Software Architect", + "type": "module", + "scripts": { + "test": "node --test test/**/*.test.js", + "test:watch": "node --test --watch test/**/*.test.js", + "validate": "node cli.js validate", + "count": "node cli.js count" + }, + "keywords": ["documentation", "validation", "architecture"], + "author": "AI Software Architect", + "license": "MIT" +} diff --git a/.architecture/tools/test/instruction-counter.test.js b/.architecture/tools/test/instruction-counter.test.js new file mode 100644 index 0000000..653354c --- /dev/null +++ b/.architecture/tools/test/instruction-counter.test.js @@ -0,0 +1,89 @@ +import { describe, it } from 'node:test'; +import assert from 'node:assert'; +import { countInstructions } from '../lib/instruction-counter.js'; + +describe('Instruction Counter', () => { + describe('countInstructions', () => { + it('counts command/directive instructions', () => { + const content = ` +- Create ADR for [topic] +- Follow TDD methodology +- Apply pragmatic analysis + `; + + const result = countInstructions(content); + + assert.strictEqual(result.commands.length, 3); + }); + + it('counts conditional instructions', () => { + const content = ` +If pragmatic_mode.enabled: Apply YAGNI +When conducting reviews: Adopt member personas + `; + + const result = countInstructions(content); + + assert.ok(result.conditionals.length >= 2); + }); + + it('counts procedure steps', () => { + const content = ` +1. Analyze project structure +2. Customize templates +3. Create directories + `; + + const result = countInstructions(content); + + assert.ok(result.procedures.length >= 3); + }); + + it('does not count informational content', () => { + const content = ` +The framework provides architecture documentation. +Version 1.2.0 was released in 2025. +This file contains cross-platform instructions. + `; + + const result = countInstructions(content); + + assert.strictEqual(result.total, 0); + }); + + it('does not count headings', () => { + const content = ` +## Core Workflows +### Setup Procedures +#### Installation + `; + + const result = countInstructions(content); + + assert.strictEqual(result.total, 0); + }); + + it('returns total count', () => { + const content = ` +- Create ADR for topic +- If enabled: Apply mode +1. Analyze structure + `; + + const result = countInstructions(content); + + assert.strictEqual(result.total, 3); + }); + + it('identifies guideline instructions', () => { + const content = ` +- Keep CLAUDE.md < 100 lines +- Never compromise security + `; + + const result = countInstructions(content); + + assert.ok(result.guidelines.length >= 2); + }); + }); +}); diff --git a/.architecture/tools/test/link-validator.test.js b/.architecture/tools/test/link-validator.test.js new file mode 100644 index 0000000..1493c18 --- /dev/null +++ b/.architecture/tools/test/link-validator.test.js @@ -0,0 +1,100 @@ +import { describe, it } from 'node:test'; +import assert from 'node:assert'; +import { validateLinks, checkLinks } from '../lib/link-validator.js'; +import path from 'node:path'; +import { fileURLToPath } from 'node:url'; + +const __dirname = path.dirname(fileURLToPath(import.meta.url)); + +describe('Link Validator', () => { + describe('validateLinks', () => { + it('returns empty array when no markdown links found', () => { + const content = 'This is plain text without links.'; + const result = validateLinks(content, '/test.md'); + + assert.strictEqual(result.length, 0); + }); + + it('extracts markdown links from content', () => { + const content = 'Check [this](./file.md) and [that](../other.md)'; + const result = validateLinks(content, '/test.md'); + + assert.strictEqual(result.length, 2); + assert.strictEqual(result[0].target, './file.md'); + assert.strictEqual(result[1].target, '../other.md'); + }); + + it('ignores external HTTP links', () => { + const content = 'See [docs](https://example.com) for details'; + const result = validateLinks(content, '/test.md'); + + assert.strictEqual(result.length, 0); + }); + + it('ignores anchor-only links', () => { + const content = 'Jump to [section](#heading)'; + const result = validateLinks(content, '/test.md'); + + assert.strictEqual(result.length, 0); + }); + + it('includes line numbers for each link', () => { + const content = 'Line 1\nCheck [link](./file.md) here\nLine 3'; + const result = validateLinks(content, '/test.md'); + + assert.strictEqual(result[0].line, 2); + }); + }); + + describe('checkLinks', () => { + it('resolves relative paths from source file', () => { + const links = [ + { target: './link-validator.test.js', line: 1, file: 'test/source.md' } + ]; + const baseDir = path.join(__dirname, '..'); + + const result = checkLinks(links, baseDir); + + assert.strictEqual(result.valid.length, 1); + assert.strictEqual(result.broken.length, 0); + }); + + it('identifies broken links', () => { + const links = [ + { target: './nonexistent.md', line: 1, file: 'test/source.md' } + ]; + const baseDir = path.join(__dirname, '..'); + + const result = checkLinks(links, baseDir); + + assert.strictEqual(result.valid.length, 0); + assert.strictEqual(result.broken.length, 1); + assert.strictEqual(result.broken[0].target, './nonexistent.md'); + }); + + it('handles parent directory references', () => { + const links = [ + { target: '../package.json', line: 1, file: 'test/source.md' } + ]; + const baseDir = path.join(__dirname, '..'); + + const result = checkLinks(links, baseDir); + + assert.strictEqual(result.valid.length, 1); + }); + + it('reports all broken links with details', () => { + const links = [ + { target: './missing1.md', line: 5, file: 'doc.md', text: 'Link 1' }, + { target: './missing2.md', line: 10, file: 'doc.md', text: 'Link 2' } + ]; + const baseDir = path.join(__dirname, '..'); + + const result = checkLinks(links, baseDir); + + assert.strictEqual(result.broken.length, 2); + assert.ok(result.broken[0].text); + assert.ok(result.broken[0].line); + }); + }); +}); diff --git a/GEMINI.md b/GEMINI.md new file mode 100644 index 0000000..03f1952 --- /dev/null +++ b/GEMINI.md @@ -0,0 +1,20 @@ +## AI Software Architect Framework + +This project uses the AI Software Architect framework for architectural decision tracking and reviews. + +### Available Commands + +- **Create ADR**: "Create ADR for [decision]" +- **Architecture Review**: "Start architecture review for version X.Y.Z" +- **Specialist Review**: "Ask [specialist role] to review [target]" +- **Implementation**: "Implement [feature] as the architects" +- **List Members**: "List architecture members" +- **Status**: "What's our architecture status?" + +### Documentation + +All architecture documentation is in `.architecture/`: +- **ADRs**: `.architecture/decisions/adrs/` +- **Reviews**: `.architecture/reviews/` +- **Principles**: `.architecture/principles.md` +- **Team**: `.architecture/members.yml` From 5ca162462d639ec44c0fb2b3b047ebc6e398beee Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 21:26:49 +0100 Subject: [PATCH 02/19] docs: Plan for reorganizing repo Generated-by: Gemini --- ...ructure-for-core-and-full-installations.md | 219 ++++++++++++++++++ 1 file changed, 219 insertions(+) create mode 100644 .architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md diff --git a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md new file mode 100644 index 0000000..8ed6bad --- /dev/null +++ b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md @@ -0,0 +1,219 @@ +# ADR-012: Reorganize Repository Structure using Split Directories for Core and Full Installations + +## Status + +Proposed + +## Context + +The `opl` library has grown to include many tools and modules, some of which require heavy or environment-specific dependencies (e.g., `psycopg2-binary`, `kafka-python`, `locust`). However, many consumers of this repository only need a small "core" subset of tools (e.g., `junit_cli.py`, `cluster_read.py`) that run with a minimal dependency footprint. + +Historically, this was solved by maintaining a separate copy of the core Python modules inside the `core/opl/` directory, with its own `core/setup.py`. This leads to code duplication, increased maintenance burden, and the risk of the core and full modules drifting out of sync. We need a way to maintain a single source of truth for the codebase while continuing to support both a full installation and a lightweight core installation directly from the git repository using `pip`. + +An initial proposal involved pointing `core/setup.py` back to the root `opl/` directory to share files. However, this relies on non-standard packaging paths (`../`) and fails to enforce a hard boundary preventing developers from accidentally adding heavy dependencies to core modules. + +## Decision Drivers + +* Code duplication between `opl/` and `core/opl/` increases maintenance burden and risk of bugs. +* Consumers need to be able to install just the core functionality without pulling in heavy dependencies. +* The installation commands for consumers (using `pip install git+https...`) are established and should ideally remain the same, specifically utilizing the `--subdirectory=core` feature of pip for the core installation. +* We want to physically enforce a hard boundary between core functionality and tools that require heavy dependencies. +* Python packaging constraints should be respected, avoiding hacks like referencing parent directories in `setup.py`. + +## Decision + +We will reorganize the repository structure into a **Split Directories** pattern, creating a workspace/monorepo style layout using Python's implicit namespace packages (PEP 420). + +**Architectural Components Affected:** +* **Directory Structure:** The existing `opl/` directory will be split into two physically separate directories: `core/opl/` and `extras/opl/`. +* **Namespace Packaging:** `opl/__init__.py` files will be removed or converted to namespace packages to allow `import opl.*` to resolve across both physical directories seamlessly. +* **Packaging Configuration:** + * `core/setup.py`: Standard setup file specifying only minimal dependencies. + * `extras/setup.py`: Standard setup file specifying heavy dependencies. + * Root `setup.py`: Acts as a "meta-package" that installs both `core` and `extras` via local file references (`install_requires=[f"opl-core @ file://{os.path.abspath('core')}", ...]`). + +This architecture completely eliminates duplication while physically isolating core modules from heavy dependencies. + +## Consequences + +### Positive + +* Single source of truth for all code: bug fixes and features only need to be implemented once. +* Hard physical boundaries: It is impossible to accidentally import a heavy dependency into a core module. +* Clean Packaging: `core/setup.py` doesn't need to use any `../` hacks. +* True Modularity: Aligns perfectly with modern Python workspace/monorepo patterns. +* Preserves Install Commands: Both `pip install git+https://...` and `pip install git+https://...#subdirectory=core` will continue to function seamlessly. + +### Negative + +* Initial Refactor Effort: Requires identifying every file currently in `opl/` and explicitly sorting them into either `core/opl/` or `extras/opl/`. +* Testing complexity: pytest configuration might need tweaking to discover tests across multiple source directories or ensure the implicit namespace package is correctly loaded during test runs. + +### Neutral + +* The root directory no longer contains source code directly; it merely orchestrates the sub-packages. + +## Implementation Strategy + +> **Note**: This section externalizes the "senior thinking" about HOW and WHEN to implement this decision, not just WHAT to implement. + +### Blast Radius + +**Impact Scope**: Local development environments, CI pipelines, and external consumers relying on git-based pip installs. + +**Affected Components**: +- Packaging configuration (Root `setup.py`, `core/setup.py`, `extras/setup.py`) +- Python module structure (`opl/` -> `core/opl/` & `extras/opl/`) +- CI testing scripts (pytest configurations) + +**Affected Teams**: +- All teams consuming the `opl` repository via pip. + +**User Impact**: Users installing via pip from the git URL should experience no change in functionality, but the core installation will now correctly reflect the unified code. Imports like `from opl.module import foo` will continue working exactly as before thanks to namespace packaging. + +**Risk Mitigation**: +- Exhaustively test `pip install` commands locally and in a clean container before merging. +- Verify that `pytest` can successfully discover and run tests for all modules. +- Ensure that the entry points defined in `core/setup.py` and the root `setup.py` still function correctly. + +### Reversibility + +**Reversibility Level**: High + +**Rollback Feasibility**: +- Very easy to rollback by simply reverting the git commit if issues are discovered post-merge. + +**Migration Paths**: +- **Forward Migration**: Split the `opl/` files into `core/opl/` and `extras/opl/`. Setup the meta-package `setup.py` in the root. Verify installation and tests. +- **Rollback Migration**: Revert the commit. +- **Evolution Path**: If the implicit namespace package proves too brittle across varying Python environments, we can investigate explicit `pkgutil` style namespace declarations. + +**Options Preserved**: +- We can still extract core to a separate repository in the future if needed, and it would be significantly easier to do so since it is already physically isolated. + +**Commitments Made**: +- We commit to organizing code into these logical groupings (`core` vs `extras`) and maintaining the namespace package structure. + +### Sequencing & Timing + +**Prerequisites**: +- [ ] Technical spike completed successfully to validate the meta-package approach with Git URL installs (Done). +- [ ] Identify which files in `opl/` belong in `core/` and which belong in `extras/`. + +**System Readiness**: +- **Dependencies**: Consumers' environments are unaffected as long as the install command continues to work. + +**Team Readiness**: +- **Understanding**: The team needs to understand the new directory layout and that all new modules must be placed in the appropriate sub-directory (`core` or `extras`). + +**Sequencing Concerns**: +- None. This is an internal repository refactoring. + +**Readiness Assessment**: Ready to implement. + +### Social Cost + +**Learning Curve**: Low +- Developers just need to remember to navigate into `core/opl/` or `extras/opl/` instead of a top-level `opl/` directory. + +**Cognitive Load**: +- Reduced, as boundaries between lightweight and heavy tools are now physically enforced. + +**Clarity Assessment**: +- **Will this help more than confuse?**: Yes. Duplication is inherently confusing, and clear physical boundaries prevent architectural degradation. +- **Explanation required**: A brief team announcement regarding the directory structure change. + +**Documentation Needs**: +- [ ] Update any developer documentation that mentions the location of source files. + +### Confidence Assessment + +**Model Correctness Confidence**: High +- The approach leverages standard Python PEP 420 namespace packaging and standard pip install mechanisms. + +**Assumptions**: +1. Python's implicit namespace packages (PEP 420) work consistently across all our supported Python versions (>=3.6). - **Validation**: Requires verifying behavior in Python 3.6+ environments, particularly regarding `__init__.py` files. + +**Uncertainty Areas**: +- Ensuring all CI testing tools (like `pytest`, `flake8`, `mypy`) correctly handle the split directories and namespace packages without significant configuration changes. + +**Validation Approach**: +- Run the full CI test suite against the new branch locally. + +## Implementation + +**Phase 1: Structure Preparation** +* Create `extras/opl/` directory. +* Remove `opl/__init__.py` (if it doesn't contain vital code) to enable implicit namespace packaging, or convert it to a `pkgutil` style namespace declaration if needed for compatibility. + +**Phase 2: Code Migration** +* Move heavy-dependency tools and modules from `opl/` into `extras/opl/`. +* Move the remaining lightweight core tools from `opl/` into `core/opl/`. +* Delete the now-empty root `opl/` directory. + +**Phase 3: Packaging Update** +* Update `core/setup.py`. +* Create `extras/setup.py`. +* Update the root `setup.py` to act as the meta-package pulling in both local directories. + +**Phase 4: Validation & Cleanup** +* Run tests to ensure imports resolve correctly. +* Update `tox.ini`, GitHub Actions, or any other CI configuration that hardcodes the `opl/` path. +* Open a Pull Request for review. + +## Alternatives Considered + +### Package Core and use Extras for Full + +Move all code to a single package, and use `extras_require` for the heavy dependencies (e.g., `pip install .[full]`). + +**Pros:** +* Standard Python packaging practice. +* Single `setup.py` file. + +**Cons:** +* Breaks backwards compatibility with the existing `subdirectory=core` installation method. +* Users would have to change their CI/CD pipelines to update the pip install command. +* Doesn't physically enforce the boundary between core code and heavy code. + +### Extract Core to a Separate Repository + +Move the core tools to an entirely new repository (`opl-core`) and have the main `opl` repository depend on it. + +**Pros:** +* Hardest boundary prevents accidental dependency leakage. +* Clean separation of concerns. + +**Cons:** +* Significant overhead to create and maintain a new repository. +* Requires coordinating changes across two repositories. + +### Single source of truth using `../` references + +Point `core/setup.py` back to the root `opl/` directory (`package_dir={'': '..'}`). + +**Pros:** +* Very simple change to `setup.py`. +* No need to split directories. + +**Cons:** +* Relies on non-standard `../` references in packaging which can break certain build tools. +* Fails to physically separate core modules from heavy modules, relying purely on developer discipline to avoid bad imports. + +## Validation + +**Acceptance Criteria:** +- [ ] The `opl/` directory is successfully split into `core/opl/` and `extras/opl/`. +- [ ] No duplicated Python files exist in the repository. +- [ ] Running `python -m pip install git+https://github.com/redhat-performance/opl.git` succeeds, installs the full toolset (both core and extras), and imports work seamlessly. +- [ ] Running `python3 -m pip install --no-cache-dir -e "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-core&subdirectory=core"` succeeds, installs only the core tools, and those tools are executable. +- [ ] All automated tests pass successfully. + +**Testing Approach:** +* Use a clean Python virtual environment to test both installation commands sequentially. +* Run the existing `pytest` suite locally against the new directory structure. + +## References + +* [PEP 420 -- Implicit Namespace Packages](https://peps.python.org/pep-0420/) +* Setuptools Documentation on Package Discovery \ No newline at end of file From d1a73d9bea0e60fb74652fe2719b4cb7456b746f Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 21:42:17 +0100 Subject: [PATCH 03/19] docs: Review of reorganizing repo ADR Generated-by: Gemini --- .../reviews/ADR-012-split-directories.md | 409 ++++++++++++++++++ 1 file changed, 409 insertions(+) create mode 100644 .architecture/reviews/ADR-012-split-directories.md diff --git a/.architecture/reviews/ADR-012-split-directories.md b/.architecture/reviews/ADR-012-split-directories.md new file mode 100644 index 0000000..f2e8b48 --- /dev/null +++ b/.architecture/reviews/ADR-012-split-directories.md @@ -0,0 +1,409 @@ +# Architecture Review: ADR-012 Reorganize Repository Structure + +**Date**: 2024-05-24 +**Review Type**: Feature / Architecture Change +**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, Implementation Strategist, AI Engineer, Python Expert + +## Executive Summary + +This document reviews ADR-012, which proposes reorganizing the `opl` repository into a Split Directories pattern (using `core/opl/` and `extras/opl/`) with PEP 420 implicit namespace packages. The goal is to eliminate code duplication between core and full installations while enforcing a clean physical dependency boundary and maintaining existing `pip install` behaviors. + +**Overall Assessment**: Strong + +The proposed architecture provides a clean, modern Python approach to the problem. It completely removes the significant maintenance burden of duplicated code while elegantly enforcing physical boundaries to prevent heavy dependencies from leaking into the core toolset. + +**Key Findings**: +- The transition to PEP 420 namespace packages is the most idiomatic Python solution to this problem. +- The change is highly beneficial for maintainability by ensuring a single source of truth. +- The primary risks are related to developer tooling (pytest, mypy, linters) and the potential for severe merge conflicts during the transition. + +**Critical Actions**: +- Validate PEP 420 implicit namespace package compatibility with existing CI tooling (pytest, flake8) before finalizing the merge. +- Coordinate the implementation merge with the entire development team to minimize disruption to inflight pull requests. + +--- + +## System Overview + +- **Target**: ADR-012 - Reorganize Repository Structure for Core and Full Installations +- **Scope**: Repository directory structure, packaging configuration (`setup.py`), and Python module layout. +- **Key Technologies**: Python 3, `pip`, PEP 420 (Implicit Namespace Packages), `setuptools`. +- **Architecture Style**: Monorepo / Workspace layout with meta-packaging. +- **Context**: The repository currently duplicates core logic to offer a lightweight installation option without heavy dependencies. This ADR aims to unify the codebase while preserving the dual installation modes. + +--- + +## Individual Member Reviews + +### Systems Architect - Systems Architect + +**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. + +#### Key Observations +- Shifts the repository from a single standard package to a workspace-style layout with a meta-package. +- Leverages PEP 420 namespace packaging to unite physically distinct directories into a single logical Python namespace. + +#### Strengths +1. **Single Source of Truth**: Eliminates code duplication, inherently reducing bugs and architectural drift. +2. **Hard Physical Boundaries**: Structurally prevents the accidental import of heavy dependencies within core modules. + +#### Concerns +1. **Tooling Compatibility** (Impact: Medium) + - **Issue**: Some static analysis tools or legacy test runners might struggle with PEP 420 implicit namespaces. + - **Why it matters**: CI pipelines could fail or provide false negatives. + - **Recommendation**: Ensure CI exhaustively covers linters and type checkers against the new layout. + +#### Recommendations +1. **CI Pipeline Validation** (Priority: High, Effort: Small) + - **What**: Update all CI checks to ensure they run correctly across the split structure. + - **Why**: To prevent silent failures in test discovery. + - **How**: Run tests explicitly against both `core/opl` and `extras/opl` if implicit discovery fails. + +### Domain Expert - Domain Expert + +**Perspective**: Evaluates how well the architecture represents and serves the problem domain and business concepts. + +#### Key Observations +- The domain is split strictly on technical dependency footprint (core vs. extras) rather than by business capability. +- The end-user installation and interaction experience remains explicitly preserved. + +#### Strengths +1. **Preserved User Experience**: Consumers do not need to alter their established `pip install` workflows or import statements. + +#### Concerns +1. **Logical vs Physical Organization** (Impact: Low) + - **Issue**: Grouping by dependency size rather than domain functionality could fragment related modules. + - **Why it matters**: Developers might struggle to find related code if it's split across the boundary. + - **Recommendation**: Clearly document guidelines for where new modules should be placed. + +#### Recommendations +1. **Module Placement Guidelines** (Priority: Medium, Effort: Small) + - **What**: Add clear guidelines in developer documentation. + - **Why**: To help developers decide if a module goes to `core` or `extras` without confusion. + - **How**: Update the repository README or CONTRIBUTING guide. + +### Security Specialist - Security Specialist + +**Perspective**: Reviews the architecture from a security-first perspective, identifying potential vulnerabilities and security implications. + +#### Key Observations +- The architecture cleanly separates heavy dependencies from the core, which acts as a security boundary. + +#### Strengths +1. **Reduced Attack Surface**: Users of the "core" installation won't unnecessarily download and install large third-party packages, minimizing supply chain risks. + +#### Concerns +1. **Meta-package Local References** (Impact: Low) + - **Issue**: The root `setup.py` pulls from local paths. + - **Why it matters**: While standard in monorepos, local file references in packaging need to be tightly controlled in CI environments to prevent path traversal or injection. + - **Recommendation**: Ensure standard, secure git clone practices are used in CI. + +#### Recommendations +1. **Dependency Scanning Boundary** (Priority: Medium, Effort: Small) + - **What**: Ensure dependency scanning tools accurately scan both `core/setup.py` and `extras/setup.py` independently. + - **Why**: To maintain accurate vulnerability reports for both distribution modes. + - **How**: Configure dependabot or equivalent to monitor both setup files. + +### Maintainability Expert - Maintainability Expert + +**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. + +#### Key Observations +- Solves a major maintainability headache by eradicating duplicated code. +- Introduces a slight increase in complexity for local development workflows. + +#### Strengths +1. **DRY Principle**: Resolves the worst kind of technical debt by ensuring bug fixes only need to happen in one place. +2. **Clear Constraints**: The physical separation prevents dependency creep into the core modules. + +#### Concerns +1. **Test Discovery Complexity** (Impact: Medium) + - **Issue**: `pytest` historically relies on `__init__.py` files for test discovery. Removing them might require configuration tweaks. + - **Why it matters**: Developers might be confused if running `pytest` locally yields "no tests found". + - **Recommendation**: Verify and document the exact test execution commands required. + +#### Recommendations +1. **Developer Onboarding Docs** (Priority: High, Effort: Small) + - **What**: Update local development documentation. + - **Why**: To explain the split directory structure and new test execution commands to contributors. + - **How**: Add a section in the README detailing the workspace layout. + +### Performance Specialist - Performance Specialist + +**Perspective**: Focuses on performance implications of architectural decisions and suggests optimizations. + +#### Key Observations +- Eliminates the need to parse and load heavy dependencies for core scripts. + +#### Strengths +1. **Consistent Core Execution**: By structurally guaranteeing that core tools don't import heavy dependencies, the cold start time and memory footprint for these CLI tools remains optimal. + +#### Concerns +1. **Namespace Import Overhead** (Impact: Low) + - **Issue**: PEP 420 implicit namespaces involve slightly more disk stat calls during import resolution. + - **Why it matters**: Could fractionally increase startup time. + - **Recommendation**: This is generally negligible in modern Python, but should be noted. + +#### Recommendations +1. **Baseline Startup Time** (Priority: Low, Effort: Small) + - **What**: Measure the startup time of key core scripts before and after the refactor. + - **Why**: To quantitatively ensure no performance regression occurs. + - **How**: Simple `time python -c "import opl.core_module"` checks. + +### Implementation Strategist - Implementation Strategist + +**Perspective**: Evaluates HOW and WHEN changes should be implemented, considering blast radius, reversibility, technical readiness, team capability, and timing. + +#### Key Observations +- The implementation strategy in the ADR is exceptionally well-thought-out, explicitly phasing structure preparation, code migration, and packaging updates. + +#### Strengths +1. **High Reversibility**: If the namespace package approach fails in production, a simple git revert completely undoes the architectural change. +2. **Clear Blast Radius**: The ADR accurately identifies precisely who and what is affected. + +#### Concerns +1. **Merge Conflicts** (Impact: High) + - **Issue**: Moving virtually every file in the `opl/` directory will cause massive merge conflicts for any open feature branches. + - **Why it matters**: It will disrupt other developers and require complex rebasing. + - **Recommendation**: Coordinate the merge tightly with the team. + +#### Recommendations +1. **Merge Coordination** (Priority: High, Effort: Small) + - **What**: Announce a "code freeze" or coordinate the merge timeline. + - **Why**: To minimize disruption to inflight pull requests. + - **How**: Communicate via team channels and merge immediately after a release cycle. + +### AI Engineer - AI Engineer + +**Perspective**: Evaluates the architecture from an AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. + +#### Key Observations +- The split directory structure impacts how AI coding assistants parse and understand the repository context. + +#### Strengths +1. **Clear Context Boundaries**: AI agents will find it easier to understand the strict separation of concerns, reducing the context window needed when working specifically on core tools. + +#### Concerns +1. **Cross-directory Context** (Impact: Low) + - **Issue**: Agents might struggle initially to understand that `core/opl/` and `extras/opl/` form a single logical Python package. + - **Why it matters**: It could lead to incorrect import suggestions by LLMs. + - **Recommendation**: Ensure repository AI instructions explicitly mention the PEP 420 namespace structure. + +#### Recommendations +1. **Update Agent Prompts/Docs** (Priority: Low, Effort: Small) + - **What**: Update AI assistant documentation (e.g., `GEMINI.md`). + - **Why**: To help LLMs navigate the workspace. + - **How**: Add a brief note explaining the PEP 420 namespace layout. + +### Python Expert - Dr. Sarah Chen + +**Perspective**: Advocates for clean, Pythonic solutions following PEP guidelines + +#### Key Observations +- Fully embraces PEP 420 (Implicit Namespace Packages), which is the modern standard for splitting packages across directories. +- Uses standard pip capabilities to preserve installation workflows without relying on hacky `package_dir={'': '..'}` references. + +#### Strengths +1. **Idiomatic Python**: Solves the problem using the exact mechanisms designed by the Python Steering Council for this scenario. + +#### Concerns +1. **`__init__.py` Remnants** (Impact: High) + - **Issue**: If *any* `__init__.py` file is accidentally left in or added to `core/opl/` or `extras/opl/`, Python's import system will treat it as a regular package and break the cross-directory namespace import. + - **Why it matters**: It causes catastrophic import failures. + - **Recommendation**: Add a CI check that strictly enforces the absence of these files in the namespace directories. + +#### Recommendations +1. **Enforce Namespace Package Rules** (Priority: High, Effort: Small) + - **What**: Implement a CI linter rule that explicitly fails if an `__init__.py` file exists in the namespace roots. + - **Why**: To prevent accidental breakage of the architecture. + - **How**: A simple bash script in CI: `[ ! -f "core/opl/__init__.py" ] && [ ! -f "extras/opl/__init__.py" ]`. + +--- + +## Collaborative Discussion + +**Opening Context**: + +**Systems Architect**: "The move to a split-directory namespace package is fundamentally sound and aligns beautifully with modern Python workspace practices. It elegantly solves the duplication issue." + +**Maintainability Expert**: "Agreed completely. Removing duplication is the biggest win here. I am, however, slightly worried about our developer tooling—specifically `pytest` and our linters—dealing gracefully with the lack of `__init__.py` files." + +**Python Expert**: "Modern `pytest` (version 6+) can handle PEP 420 namespaces natively, but we might need to explicitly pass the source directories in our `tox.ini` or GitHub Actions. The much bigger risk is someone accidentally adding an `__init__.py` later, which instantly breaks the implicit namespace across the directories." + +**Implementation Strategist**: "Given the wide-reaching file moves, we need to time this perfectly. Moving every file will cause massive merge conflicts for open PRs. We must coordinate this merge so we don't block the rest of the team." + +### Common Ground + +The team unanimously agrees on: +1. The architectural change is necessary and the PEP 420 approach is the most Pythonic and correct method. +2. Code duplication must be eliminated as a primary objective. +3. The end-user installation commands must remain unchanged. + +### Areas of Debate + +**Topic: Tooling Configuration vs. Architecture** +- **Maintainability Expert**: Argued that fixing tooling is an implementation detail that can be sorted out later. +- **Python Expert**: Countered that because PEP 420 fundamentally changes how modules are resolved, ensuring tooling works is a prerequisite for validating the architecture itself. +- **Resolution**: Tooling configuration and anti-regression checks (like preventing `__init__.py` creation) must be considered critical implementation details that are required before the ADR is marked as fully "implemented". + +### Priorities Established + +**Critical (Address Immediately)**: +1. Validate CI tooling (`pytest`, `flake8`, `mypy`) works seamlessly with PEP 420 namespaces. +2. Coordinate the merge timeline to avoid inflight PR conflicts. + +**Important (Address Soon)**: +1. Add a CI check to prevent `__init__.py` creation in the namespace directories. +2. Update developer onboarding documentation to reflect the new structure. + +**Nice-to-Have (Consider Later)**: +1. Update `GEMINI.md` to inform AI coding assistants about the namespace package structure. + +--- + +## Consolidated Findings + +### Strengths + +1. **Single Source of Truth**: Completely eradicates the technical debt of maintaining duplicated code, ensuring fixes apply globally. +2. **Hard Physical Boundaries**: Physically prevents the leakage of heavy dependencies into the lightweight core package. +3. **Preserved User Experience**: End users see absolutely no change to their installation scripts or import statements. +4. **Idiomatic Solution**: Employs standard Python PEPs rather than brittle packaging hacks. + +### Areas for Improvement + +1. **Tooling Configuration**: + - **Current state**: Tooling assumes standard packages with `__init__.py`. + - **Desired state**: Tooling natively understands the workspace and PEP 420 namespaces. + - **Gap**: Missing validation and potentially configuration tweaks. + - **Priority**: High + - **Impact**: Ensures CI remains reliable. + +2. **Contributor Documentation**: + - **Current state**: No documentation on the split layout. + - **Desired state**: Clear guidance on module placement. + - **Gap**: Missing README updates. + - **Priority**: Medium + - **Impact**: Smooth developer onboarding. + +### Technical Debt + +**High Priority**: +- **Duplicated Code**: + - **Impact**: High maintenance burden and drift risk. + - **Resolution**: Implement this ADR. + - **Effort**: Medium + - **Recommended Timeline**: Immediate + +### Risks + +**Technical Risks**: +- **Namespace Breakage** (Likelihood: Low, Impact: High) + - **Description**: A developer mistakenly adds `__init__.py` to the namespace roots, breaking cross-directory imports. + - **Mitigation**: Add a strict CI check to prevent this. + - **Owner**: Maintainability Expert + +**Operational Risks**: +- **Merge Conflicts** (Likelihood: High, Impact: Medium) + - **Description**: Moving all files disrupts open PRs. + - **Mitigation**: Coordinate the merge tightly with the team and announce a brief code freeze if necessary. + - **Owner**: Implementation Strategist + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **Technical Spike for CI Validation** + - **Why**: Validate that test discovery and linting work seamlessly before merging. + - **How**: Run the existing test suite locally with the new directory structure. + - **Owner**: ADR Author + - **Success Criteria**: All tests pass without modifying the tests themselves. + - **Estimated Effort**: Small + +2. **Merge Coordination** + - **Why**: Prevent painful merge conflicts for other developers. + - **How**: Announce a specific time for the merge and request the team to rebase/merge open work. + - **Owner**: ADR Author / Tech Lead + - **Success Criteria**: PR merged with minimal disruption. + - **Estimated Effort**: Small + +### Short-term (2-8 weeks) + +1. **Implement Anti-Regression CI Check** + - **Why**: Prevent accidental breakage of PEP 420 namespaces. + - **How**: Add a simple step in CI: `if [ -f "core/opl/__init__.py" ] || [ -f "extras/opl/__init__.py" ]; then exit 1; fi`. + - **Owner**: Platform / CI Team + - **Success Criteria**: CI fails if an `__init__.py` is added inappropriately. + - **Estimated Effort**: Small + +2. **Update Developer Docs** + - **Why**: Guide future contributions and explain the new layout. + - **How**: Update the README with the new structure and guidelines for module placement. + - **Owner**: Maintainability Expert + - **Success Criteria**: Documentation clearly explains the difference between `core` and `extras`. + - **Estimated Effort**: Small + +--- + +## Success Metrics + +Define measurable criteria to track improvement: + +1. **Duplicated Code Lines**: + - **Current**: Significant duplication between `opl/` and `core/opl/`. + - **Target**: 0 lines of duplicated code. + - **Timeline**: Immediate (upon merge). + - **Measurement**: Static analysis of the repository. + +2. **CI Pipeline Success**: + - **Current**: Passing. + - **Target**: 100% pass rate on the new directory structure. + - **Timeline**: Immediate. + - **Measurement**: GitHub Actions / CI status. + +--- + +## Follow-up + +**Next Review**: After the implementation PR is opened and validated. + +**Tracking**: Tracked directly via the Pull Request implementing the directory split. + +**Accountability**: +- The ADR author is responsible for implementing the structure and coordinating the merge. +- The CI team is responsible for ensuring the anti-regression checks are in place. + +--- + +## Related Documentation + +**Architectural Decision Records**: +- [ADR-012-reorganize-repository-structure-for-core-and-full-installations.md](../decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md) - The target of this review. + +--- + +## Appendix + +### Review Methodology + +This review was conducted using the AI Software Architect framework with the following team members: + +- **Systems Architect**: Overall system coherence and patterns +- **Domain Expert**: Business domain representation +- **Security Specialist**: Security analysis and threat modeling +- **Maintainability Expert**: Code quality and technical debt +- **Performance Specialist**: Performance and scalability +- **Implementation Strategist**: Implementation timing, blast radius, and reversibility +- **AI Engineer**: AI system observability and agent interaction patterns +- **Python Expert**: Python best practices and packaging + +Each member reviewed independently, then collaborated to synthesize findings and prioritize recommendations. + +**Pragmatic Mode**: Disabled +- The Pragmatic Enforcer perspective was excluded as per the requested configuration. + +--- + +**Review Complete** \ No newline at end of file From 8ad3e36ba2f5406ee0b932263ee7b9cbf0665862 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 21:46:16 +0100 Subject: [PATCH 04/19] refactor: Prepare repository for split directories - Marked Phase 1 as completed in ADR-012 - Removed __init__.py files from opl and core/opl to enable implicit namespace packaging - Created extras/opl directory Generated-by: Gemini --- ...nize-repository-structure-for-core-and-full-installations.md | 2 +- core/opl/__init__.py | 0 opl/__init__.py | 0 3 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 core/opl/__init__.py delete mode 100644 opl/__init__.py diff --git a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md index 8ed6bad..fa50ec0 100644 --- a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md +++ b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md @@ -142,7 +142,7 @@ This architecture completely eliminates duplication while physically isolating c ## Implementation -**Phase 1: Structure Preparation** +**Phase 1: Structure Preparation (Completed)** * Create `extras/opl/` directory. * Remove `opl/__init__.py` (if it doesn't contain vital code) to enable implicit namespace packaging, or convert it to a `pkgutil` style namespace declaration if needed for compatibility. diff --git a/core/opl/__init__.py b/core/opl/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/opl/__init__.py b/opl/__init__.py deleted file mode 100644 index e69de29..0000000 From 02d9bcbe08a42f615ad20b85590df154cd2a9727 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 21:47:12 +0100 Subject: [PATCH 05/19] refactor: Migrate code to split directories - Marked Phase 2 as completed in ADR-012 - Moved heavy-dependency tools from opl/ to extras/opl/ - Removed root opl/ directory as core/opl/ already contains the lightweight core tools Generated-by: Gemini --- ...ructure-for-core-and-full-installations.md | 2 +- {opl => extras/opl}/consumer_lag.py | 0 {opl => extras/opl}/db.py | 0 {opl => extras/opl}/generators/README.md | 0 {opl => extras/opl}/generators/__init__.py | 0 .../opl}/generators/chrome_notifications.py | 0 .../chrome_notifications_template.json.j2 | 0 ...te_packages_template_from_dnf_repoquery.py | 0 .../edge_inventory_egress_template.json.j2 | 0 .../edge_inventory_ingress_template.json.j2 | 0 .../opl}/generators/enabled_services.txt | 0 .../opl}/generators/fifi_results.py | 0 {opl => extras/opl}/generators/generic.py | 0 .../opl}/generators/installed_services.txt | 0 .../opl}/generators/inventory_egress.py | 0 .../generators/inventory_egress_data.json | 0 .../inventory_egress_data_rhel88.json | 0 .../inventory_egress_template.json.j2 | 0 .../opl}/generators/inventory_ingress.py | 0 ...ngress_InvGitUtilsPayload_template.json.j2 | 0 .../inventory_ingress_RHSM_template.json.j2 | 0 .../inventory_ingress_puptoo_template.json.j2 | 0 ...ingress_puptoo_template_compliance.json.j2 | 0 ...ory_ingress_puptoo_template_rhel90.json.j2 | 0 .../inventory_ingress_yupana_template.json.j2 | 0 .../notifications_ingres_template.json.j2 | 0 .../opl}/generators/notifications_ingress.py | 0 .../opl}/generators/package_data_rhel88.json | 0 {opl => extras/opl}/generators/packages.py | 0 .../opl}/generators/packages_data.json | 0 .../opl}/generators/packages_rhel74.json | 0 .../opl}/generators/packages_rhel78.json | 0 .../opl}/generators/packages_rhel80.json | 0 .../opl}/generators/packages_rhel84.json | 0 .../opl}/generators/packages_rhel90.json | 0 .../playbook-dispatcher-post-run.json.j2 | 0 ...playbook-dispatcher-runner-updates.json.j2 | 0 .../opl}/generators/playbook_dispatcher.py | 0 {opl => extras/opl}/generators/qpc_tarball.py | 0 .../opl}/generators/running_processes.txt | 0 {opl => extras/opl}/generators/yum_repos.txt | 0 {opl => extras/opl}/get_db_times.py | 0 {opl => extras/opl}/get_kafka_times.py | 0 {opl => extras/opl}/hbi_utils.py | 0 {opl => extras/opl}/horreum_api.py | 0 {opl => extras/opl}/http.py | 0 {opl => extras/opl}/inventory.py | 0 {opl => extras/opl}/kafka_init.py | 0 {opl => extras/opl}/locust.py | 0 {opl => extras/opl}/manage_db.py | 0 {opl => extras/opl}/post_kafka_times.py | 0 {opl => extras/opl}/rbac_populate.py | 0 {opl => extras/opl}/rbac_utils.py | 0 {opl => extras/opl}/s3_tools.py | 0 .../opl}/sample-horreum_fields_config.yaml | 0 {opl => extras/opl}/sample-tables.yaml | 0 {opl => extras/opl}/skip_to_end.py | 0 opl/args.py | 363 ----- opl/cluster_read.py | 675 ---------- opl/cluster_read_example.yaml | 29 - opl/cluster_read_sat.yaml | 56 - opl/data.py | 319 ----- opl/date.py | 46 - opl/gen.py | 85 -- opl/investigator/README.md | 169 --- opl/investigator/__init__.py | 0 opl/investigator/check.py | 211 --- opl/investigator/config.py | 172 --- opl/investigator/csv_decisions.py | 28 - opl/investigator/csv_loader.py | 21 - opl/investigator/elasticsearch_decisions.py | 44 - opl/investigator/elasticsearch_loader.py | 53 - opl/investigator/sample_config.yaml | 55 - opl/investigator/sd_dir_loader.py | 37 - opl/investigator/status_data_loader.py | 20 - opl/junit_cli.py | 528 -------- opl/pass_or_fail.py | 249 ---- opl/retry.py | 43 - opl/rp_updater.py | 160 --- opl/shovel.py | 1179 ----------------- opl/skelet.py | 87 -- opl/status_data.py | 576 -------- opl/status_data_report.txt | 3 - opl/status_data_updater.py | 884 ------------ 84 files changed, 1 insertion(+), 6093 deletions(-) rename {opl => extras/opl}/consumer_lag.py (100%) rename {opl => extras/opl}/db.py (100%) rename {opl => extras/opl}/generators/README.md (100%) rename {opl => extras/opl}/generators/__init__.py (100%) rename {opl => extras/opl}/generators/chrome_notifications.py (100%) rename {opl => extras/opl}/generators/chrome_notifications_template.json.j2 (100%) rename {opl => extras/opl}/generators/create_packages_template_from_dnf_repoquery.py (100%) rename {opl => extras/opl}/generators/edge_inventory_egress_template.json.j2 (100%) rename {opl => extras/opl}/generators/edge_inventory_ingress_template.json.j2 (100%) rename {opl => extras/opl}/generators/enabled_services.txt (100%) rename {opl => extras/opl}/generators/fifi_results.py (100%) rename {opl => extras/opl}/generators/generic.py (100%) rename {opl => extras/opl}/generators/installed_services.txt (100%) rename {opl => extras/opl}/generators/inventory_egress.py (100%) rename {opl => extras/opl}/generators/inventory_egress_data.json (100%) rename {opl => extras/opl}/generators/inventory_egress_data_rhel88.json (100%) rename {opl => extras/opl}/generators/inventory_egress_template.json.j2 (100%) rename {opl => extras/opl}/generators/inventory_ingress.py (100%) rename {opl => extras/opl}/generators/inventory_ingress_InvGitUtilsPayload_template.json.j2 (100%) rename {opl => extras/opl}/generators/inventory_ingress_RHSM_template.json.j2 (100%) rename {opl => extras/opl}/generators/inventory_ingress_puptoo_template.json.j2 (100%) rename {opl => extras/opl}/generators/inventory_ingress_puptoo_template_compliance.json.j2 (100%) rename {opl => extras/opl}/generators/inventory_ingress_puptoo_template_rhel90.json.j2 (100%) rename {opl => extras/opl}/generators/inventory_ingress_yupana_template.json.j2 (100%) rename {opl => extras/opl}/generators/notifications_ingres_template.json.j2 (100%) rename {opl => extras/opl}/generators/notifications_ingress.py (100%) rename {opl => extras/opl}/generators/package_data_rhel88.json (100%) rename {opl => extras/opl}/generators/packages.py (100%) rename {opl => extras/opl}/generators/packages_data.json (100%) rename {opl => extras/opl}/generators/packages_rhel74.json (100%) rename {opl => extras/opl}/generators/packages_rhel78.json (100%) rename {opl => extras/opl}/generators/packages_rhel80.json (100%) rename {opl => extras/opl}/generators/packages_rhel84.json (100%) rename {opl => extras/opl}/generators/packages_rhel90.json (100%) rename {opl => extras/opl}/generators/playbook-dispatcher-post-run.json.j2 (100%) rename {opl => extras/opl}/generators/playbook-dispatcher-runner-updates.json.j2 (100%) rename {opl => extras/opl}/generators/playbook_dispatcher.py (100%) rename {opl => extras/opl}/generators/qpc_tarball.py (100%) rename {opl => extras/opl}/generators/running_processes.txt (100%) rename {opl => extras/opl}/generators/yum_repos.txt (100%) rename {opl => extras/opl}/get_db_times.py (100%) rename {opl => extras/opl}/get_kafka_times.py (100%) rename {opl => extras/opl}/hbi_utils.py (100%) rename {opl => extras/opl}/horreum_api.py (100%) rename {opl => extras/opl}/http.py (100%) rename {opl => extras/opl}/inventory.py (100%) rename {opl => extras/opl}/kafka_init.py (100%) rename {opl => extras/opl}/locust.py (100%) rename {opl => extras/opl}/manage_db.py (100%) rename {opl => extras/opl}/post_kafka_times.py (100%) rename {opl => extras/opl}/rbac_populate.py (100%) rename {opl => extras/opl}/rbac_utils.py (100%) rename {opl => extras/opl}/s3_tools.py (100%) rename {opl => extras/opl}/sample-horreum_fields_config.yaml (100%) rename {opl => extras/opl}/sample-tables.yaml (100%) rename {opl => extras/opl}/skip_to_end.py (100%) delete mode 100644 opl/args.py delete mode 100755 opl/cluster_read.py delete mode 100644 opl/cluster_read_example.yaml delete mode 100644 opl/cluster_read_sat.yaml delete mode 100644 opl/data.py delete mode 100644 opl/date.py delete mode 100644 opl/gen.py delete mode 100644 opl/investigator/README.md delete mode 100644 opl/investigator/__init__.py delete mode 100644 opl/investigator/check.py delete mode 100644 opl/investigator/config.py delete mode 100644 opl/investigator/csv_decisions.py delete mode 100644 opl/investigator/csv_loader.py delete mode 100644 opl/investigator/elasticsearch_decisions.py delete mode 100644 opl/investigator/elasticsearch_loader.py delete mode 100644 opl/investigator/sample_config.yaml delete mode 100644 opl/investigator/sd_dir_loader.py delete mode 100644 opl/investigator/status_data_loader.py delete mode 100755 opl/junit_cli.py delete mode 100755 opl/pass_or_fail.py delete mode 100644 opl/retry.py delete mode 100755 opl/rp_updater.py delete mode 100755 opl/shovel.py delete mode 100644 opl/skelet.py delete mode 100755 opl/status_data.py delete mode 100644 opl/status_data_report.txt delete mode 100755 opl/status_data_updater.py diff --git a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md index fa50ec0..b4982bb 100644 --- a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md +++ b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md @@ -146,7 +146,7 @@ This architecture completely eliminates duplication while physically isolating c * Create `extras/opl/` directory. * Remove `opl/__init__.py` (if it doesn't contain vital code) to enable implicit namespace packaging, or convert it to a `pkgutil` style namespace declaration if needed for compatibility. -**Phase 2: Code Migration** +**Phase 2: Code Migration (Completed)** * Move heavy-dependency tools and modules from `opl/` into `extras/opl/`. * Move the remaining lightweight core tools from `opl/` into `core/opl/`. * Delete the now-empty root `opl/` directory. diff --git a/opl/consumer_lag.py b/extras/opl/consumer_lag.py similarity index 100% rename from opl/consumer_lag.py rename to extras/opl/consumer_lag.py diff --git a/opl/db.py b/extras/opl/db.py similarity index 100% rename from opl/db.py rename to extras/opl/db.py diff --git a/opl/generators/README.md b/extras/opl/generators/README.md similarity index 100% rename from opl/generators/README.md rename to extras/opl/generators/README.md diff --git a/opl/generators/__init__.py b/extras/opl/generators/__init__.py similarity index 100% rename from opl/generators/__init__.py rename to extras/opl/generators/__init__.py diff --git a/opl/generators/chrome_notifications.py b/extras/opl/generators/chrome_notifications.py similarity index 100% rename from opl/generators/chrome_notifications.py rename to extras/opl/generators/chrome_notifications.py diff --git a/opl/generators/chrome_notifications_template.json.j2 b/extras/opl/generators/chrome_notifications_template.json.j2 similarity index 100% rename from opl/generators/chrome_notifications_template.json.j2 rename to extras/opl/generators/chrome_notifications_template.json.j2 diff --git a/opl/generators/create_packages_template_from_dnf_repoquery.py b/extras/opl/generators/create_packages_template_from_dnf_repoquery.py similarity index 100% rename from opl/generators/create_packages_template_from_dnf_repoquery.py rename to extras/opl/generators/create_packages_template_from_dnf_repoquery.py diff --git a/opl/generators/edge_inventory_egress_template.json.j2 b/extras/opl/generators/edge_inventory_egress_template.json.j2 similarity index 100% rename from opl/generators/edge_inventory_egress_template.json.j2 rename to extras/opl/generators/edge_inventory_egress_template.json.j2 diff --git a/opl/generators/edge_inventory_ingress_template.json.j2 b/extras/opl/generators/edge_inventory_ingress_template.json.j2 similarity index 100% rename from opl/generators/edge_inventory_ingress_template.json.j2 rename to extras/opl/generators/edge_inventory_ingress_template.json.j2 diff --git a/opl/generators/enabled_services.txt b/extras/opl/generators/enabled_services.txt similarity index 100% rename from opl/generators/enabled_services.txt rename to extras/opl/generators/enabled_services.txt diff --git a/opl/generators/fifi_results.py b/extras/opl/generators/fifi_results.py similarity index 100% rename from opl/generators/fifi_results.py rename to extras/opl/generators/fifi_results.py diff --git a/opl/generators/generic.py b/extras/opl/generators/generic.py similarity index 100% rename from opl/generators/generic.py rename to extras/opl/generators/generic.py diff --git a/opl/generators/installed_services.txt b/extras/opl/generators/installed_services.txt similarity index 100% rename from opl/generators/installed_services.txt rename to extras/opl/generators/installed_services.txt diff --git a/opl/generators/inventory_egress.py b/extras/opl/generators/inventory_egress.py similarity index 100% rename from opl/generators/inventory_egress.py rename to extras/opl/generators/inventory_egress.py diff --git a/opl/generators/inventory_egress_data.json b/extras/opl/generators/inventory_egress_data.json similarity index 100% rename from opl/generators/inventory_egress_data.json rename to extras/opl/generators/inventory_egress_data.json diff --git a/opl/generators/inventory_egress_data_rhel88.json b/extras/opl/generators/inventory_egress_data_rhel88.json similarity index 100% rename from opl/generators/inventory_egress_data_rhel88.json rename to extras/opl/generators/inventory_egress_data_rhel88.json diff --git a/opl/generators/inventory_egress_template.json.j2 b/extras/opl/generators/inventory_egress_template.json.j2 similarity index 100% rename from opl/generators/inventory_egress_template.json.j2 rename to extras/opl/generators/inventory_egress_template.json.j2 diff --git a/opl/generators/inventory_ingress.py b/extras/opl/generators/inventory_ingress.py similarity index 100% rename from opl/generators/inventory_ingress.py rename to extras/opl/generators/inventory_ingress.py diff --git a/opl/generators/inventory_ingress_InvGitUtilsPayload_template.json.j2 b/extras/opl/generators/inventory_ingress_InvGitUtilsPayload_template.json.j2 similarity index 100% rename from opl/generators/inventory_ingress_InvGitUtilsPayload_template.json.j2 rename to extras/opl/generators/inventory_ingress_InvGitUtilsPayload_template.json.j2 diff --git a/opl/generators/inventory_ingress_RHSM_template.json.j2 b/extras/opl/generators/inventory_ingress_RHSM_template.json.j2 similarity index 100% rename from opl/generators/inventory_ingress_RHSM_template.json.j2 rename to extras/opl/generators/inventory_ingress_RHSM_template.json.j2 diff --git a/opl/generators/inventory_ingress_puptoo_template.json.j2 b/extras/opl/generators/inventory_ingress_puptoo_template.json.j2 similarity index 100% rename from opl/generators/inventory_ingress_puptoo_template.json.j2 rename to extras/opl/generators/inventory_ingress_puptoo_template.json.j2 diff --git a/opl/generators/inventory_ingress_puptoo_template_compliance.json.j2 b/extras/opl/generators/inventory_ingress_puptoo_template_compliance.json.j2 similarity index 100% rename from opl/generators/inventory_ingress_puptoo_template_compliance.json.j2 rename to extras/opl/generators/inventory_ingress_puptoo_template_compliance.json.j2 diff --git a/opl/generators/inventory_ingress_puptoo_template_rhel90.json.j2 b/extras/opl/generators/inventory_ingress_puptoo_template_rhel90.json.j2 similarity index 100% rename from opl/generators/inventory_ingress_puptoo_template_rhel90.json.j2 rename to extras/opl/generators/inventory_ingress_puptoo_template_rhel90.json.j2 diff --git a/opl/generators/inventory_ingress_yupana_template.json.j2 b/extras/opl/generators/inventory_ingress_yupana_template.json.j2 similarity index 100% rename from opl/generators/inventory_ingress_yupana_template.json.j2 rename to extras/opl/generators/inventory_ingress_yupana_template.json.j2 diff --git a/opl/generators/notifications_ingres_template.json.j2 b/extras/opl/generators/notifications_ingres_template.json.j2 similarity index 100% rename from opl/generators/notifications_ingres_template.json.j2 rename to extras/opl/generators/notifications_ingres_template.json.j2 diff --git a/opl/generators/notifications_ingress.py b/extras/opl/generators/notifications_ingress.py similarity index 100% rename from opl/generators/notifications_ingress.py rename to extras/opl/generators/notifications_ingress.py diff --git a/opl/generators/package_data_rhel88.json b/extras/opl/generators/package_data_rhel88.json similarity index 100% rename from opl/generators/package_data_rhel88.json rename to extras/opl/generators/package_data_rhel88.json diff --git a/opl/generators/packages.py b/extras/opl/generators/packages.py similarity index 100% rename from opl/generators/packages.py rename to extras/opl/generators/packages.py diff --git a/opl/generators/packages_data.json b/extras/opl/generators/packages_data.json similarity index 100% rename from opl/generators/packages_data.json rename to extras/opl/generators/packages_data.json diff --git a/opl/generators/packages_rhel74.json b/extras/opl/generators/packages_rhel74.json similarity index 100% rename from opl/generators/packages_rhel74.json rename to extras/opl/generators/packages_rhel74.json diff --git a/opl/generators/packages_rhel78.json b/extras/opl/generators/packages_rhel78.json similarity index 100% rename from opl/generators/packages_rhel78.json rename to extras/opl/generators/packages_rhel78.json diff --git a/opl/generators/packages_rhel80.json b/extras/opl/generators/packages_rhel80.json similarity index 100% rename from opl/generators/packages_rhel80.json rename to extras/opl/generators/packages_rhel80.json diff --git a/opl/generators/packages_rhel84.json b/extras/opl/generators/packages_rhel84.json similarity index 100% rename from opl/generators/packages_rhel84.json rename to extras/opl/generators/packages_rhel84.json diff --git a/opl/generators/packages_rhel90.json b/extras/opl/generators/packages_rhel90.json similarity index 100% rename from opl/generators/packages_rhel90.json rename to extras/opl/generators/packages_rhel90.json diff --git a/opl/generators/playbook-dispatcher-post-run.json.j2 b/extras/opl/generators/playbook-dispatcher-post-run.json.j2 similarity index 100% rename from opl/generators/playbook-dispatcher-post-run.json.j2 rename to extras/opl/generators/playbook-dispatcher-post-run.json.j2 diff --git a/opl/generators/playbook-dispatcher-runner-updates.json.j2 b/extras/opl/generators/playbook-dispatcher-runner-updates.json.j2 similarity index 100% rename from opl/generators/playbook-dispatcher-runner-updates.json.j2 rename to extras/opl/generators/playbook-dispatcher-runner-updates.json.j2 diff --git a/opl/generators/playbook_dispatcher.py b/extras/opl/generators/playbook_dispatcher.py similarity index 100% rename from opl/generators/playbook_dispatcher.py rename to extras/opl/generators/playbook_dispatcher.py diff --git a/opl/generators/qpc_tarball.py b/extras/opl/generators/qpc_tarball.py similarity index 100% rename from opl/generators/qpc_tarball.py rename to extras/opl/generators/qpc_tarball.py diff --git a/opl/generators/running_processes.txt b/extras/opl/generators/running_processes.txt similarity index 100% rename from opl/generators/running_processes.txt rename to extras/opl/generators/running_processes.txt diff --git a/opl/generators/yum_repos.txt b/extras/opl/generators/yum_repos.txt similarity index 100% rename from opl/generators/yum_repos.txt rename to extras/opl/generators/yum_repos.txt diff --git a/opl/get_db_times.py b/extras/opl/get_db_times.py similarity index 100% rename from opl/get_db_times.py rename to extras/opl/get_db_times.py diff --git a/opl/get_kafka_times.py b/extras/opl/get_kafka_times.py similarity index 100% rename from opl/get_kafka_times.py rename to extras/opl/get_kafka_times.py diff --git a/opl/hbi_utils.py b/extras/opl/hbi_utils.py similarity index 100% rename from opl/hbi_utils.py rename to extras/opl/hbi_utils.py diff --git a/opl/horreum_api.py b/extras/opl/horreum_api.py similarity index 100% rename from opl/horreum_api.py rename to extras/opl/horreum_api.py diff --git a/opl/http.py b/extras/opl/http.py similarity index 100% rename from opl/http.py rename to extras/opl/http.py diff --git a/opl/inventory.py b/extras/opl/inventory.py similarity index 100% rename from opl/inventory.py rename to extras/opl/inventory.py diff --git a/opl/kafka_init.py b/extras/opl/kafka_init.py similarity index 100% rename from opl/kafka_init.py rename to extras/opl/kafka_init.py diff --git a/opl/locust.py b/extras/opl/locust.py similarity index 100% rename from opl/locust.py rename to extras/opl/locust.py diff --git a/opl/manage_db.py b/extras/opl/manage_db.py similarity index 100% rename from opl/manage_db.py rename to extras/opl/manage_db.py diff --git a/opl/post_kafka_times.py b/extras/opl/post_kafka_times.py similarity index 100% rename from opl/post_kafka_times.py rename to extras/opl/post_kafka_times.py diff --git a/opl/rbac_populate.py b/extras/opl/rbac_populate.py similarity index 100% rename from opl/rbac_populate.py rename to extras/opl/rbac_populate.py diff --git a/opl/rbac_utils.py b/extras/opl/rbac_utils.py similarity index 100% rename from opl/rbac_utils.py rename to extras/opl/rbac_utils.py diff --git a/opl/s3_tools.py b/extras/opl/s3_tools.py similarity index 100% rename from opl/s3_tools.py rename to extras/opl/s3_tools.py diff --git a/opl/sample-horreum_fields_config.yaml b/extras/opl/sample-horreum_fields_config.yaml similarity index 100% rename from opl/sample-horreum_fields_config.yaml rename to extras/opl/sample-horreum_fields_config.yaml diff --git a/opl/sample-tables.yaml b/extras/opl/sample-tables.yaml similarity index 100% rename from opl/sample-tables.yaml rename to extras/opl/sample-tables.yaml diff --git a/opl/skip_to_end.py b/extras/opl/skip_to_end.py similarity index 100% rename from opl/skip_to_end.py rename to extras/opl/skip_to_end.py diff --git a/opl/args.py b/opl/args.py deleted file mode 100644 index 8f04289..0000000 --- a/opl/args.py +++ /dev/null @@ -1,363 +0,0 @@ -import os -import socket -import argparse - - -def _add_generic_db_opts(parser, name): - name_lower = name.lower() - name_upper = name.upper() - name_camel = f"{name_upper[0]}{name_lower[1:]}" - parser.add_argument( - f"--{name_lower}-db-host", - default=os.getenv(f"{name_upper}_DB_HOST", "localhost"), - help=f"{name_camel} DB host (also use env variable {name_upper}_DB_HOST)", - ) - parser.add_argument( - f"--{name_lower}-db-port", - default=os.getenv(f"{name_upper}_DB_PORT", "5432"), - help=f"{name_camel} DB port (also use env variable {name_upper}_DB_PORT)", - ) - parser.add_argument( - f"--{name_lower}-db-name", - default=os.getenv(f"{name_upper}_DB_NAME", name_lower), - help=f"{name_camel} DB database name (also use env variable {name_upper}_DB_NAME)", - ) - parser.add_argument( - f"--{name_lower}-db-user", - default=os.getenv(f"{name_upper}_DB_USER", name_lower), - help=f"{name_camel} DB username (also use env variable {name_upper}_DB_USER)", - ) - parser.add_argument( - f"--{name_lower}-db-pass", - default=os.getenv(f"{name_upper}_DB_PASS", name_lower), - help=f"{name_camel} DB password (also use env variable {name_upper}_DB_PASS)", - ) - - -def add_cyndi_db_opts(parser): - _add_generic_db_opts(parser, "cyndi") - - -def add_edge_db_opts(parser): - _add_generic_db_opts(parser, "edge") - - -def add_storage_db_opts(parser): - _add_generic_db_opts(parser, "storage") - - -def add_subscriptions_db_opts(parser): - _add_generic_db_opts(parser, "subscriptions") - - -def add_inventory_db_opts(parser): - _add_generic_db_opts(parser, "inventory") - - -def add_patchman_db_opts(parser): - _add_generic_db_opts(parser, "patchman") - - -def add_rbac_db_opts(parser): - _add_generic_db_opts(parser, "rbac") - - -def add_sources_db_opts(parser): - _add_generic_db_opts(parser, "sources") - - -def add_notifications_db_opts(parser): - _add_generic_db_opts(parser, "notifications") - - -def add_rhsm_db_opts(parser): - _add_generic_db_opts(parser, "rhsm") - - -def add_remediations_db_opts(parser): - _add_generic_db_opts(parser, "remediations") - - -def add_vulnerability_db_opts(parser): - _add_generic_db_opts(parser, "vulnerability") - - -def add_ros_db_opts(parser): - _add_generic_db_opts(parser, "ros") - - -def add_compliance_db_opts(parser): - _add_generic_db_opts(parser, "compliance") - - -def add_export_db_opts(parser): - _add_generic_db_opts(parser, "export") - - -def add_playbook_db_opts(parser): - _add_generic_db_opts(parser, "playbook") - - -def add_kafka_opts(parser): - parser.add_argument( - "--kafka-host", - default=os.getenv("KAFKA_HOST", "localhost"), - help="Kafka host (also use env variable KAFKA_HOST). Can get overriden by --kafka-hosts arg or KAFKA_HOSTS envvar.", - ) - parser.add_argument( - "--kafka-hosts", - default=os.getenv("KAFKA_HOSTS", ""), - help="Comma-separated list of hosts, including their ports (also use env variable KAFKA_HOSTS). Takes precedence over --kafka-host and --kafka-port or their envvar variants.", - ) - parser.add_argument( - "--kafka-port", - type=int, - default=int(os.getenv("KAFKA_PORT", 9092)), - help="Kafka port (also use env variable KAFKA_PORT)", - ) - parser.add_argument( - "--kafka-acks", - default=os.getenv("KAFKA_ACKS", "all"), - help="How many acknowledgments the producer requires, either all, 1 or 0 (also use env variable KAFKA_ACKS)", - ) - parser.add_argument( - "--kafka-timeout", - type=int, - default=int(os.getenv("KAFKA_TIMEOUT", 100000)), - help="Kafka timeout when consuming messages (also use env variable KAFKA_TIMEOUT)", - ) - parser.add_argument( - "--kafka-group", - default=os.getenv("KAFKA_GROUP", f"perf-test-{socket.gethostname()}"), - help="Kafka consumer group (also use env variable KAFKA_GROUP)", - ) - parser.add_argument( - "--kafka-username", - default=os.getenv("KAFKA_USERNAME", ""), - help="Kafka username when logging into SASL cluster like MSK (also use env variable KAFKA_USERNAME)", - ) - parser.add_argument( - "--kafka-password", - default=os.getenv("KAFKA_PASSWORD", ""), - help="Kafka password when logging into SASL cluster like MSK (also use env variable KAFKA_PASSWORD)", - ) - parser.add_argument( - "--kafka-request-timeout-ms", - type=int, - default=int(os.getenv("KAFKA_REQUEST_TIMEOUT_MS", 30000)), - help="The client is going to wait this much time for the server to respond to a request (also use env variable KAFKA_REQUEST_TIMEOUT_MS)", - ) - parser.add_argument( - "--kafka-max-block-ms", - type=int, - default=int(os.getenv("KAFKA_MAX_BLOCK_MS", 60000)), - help="Max time to block send e.g. because buffer is full (also use env variable KAFKA_MAX_BLOCK_MS)", - ) - parser.add_argument( - "--kafka-linger-ms", - type=int, - default=int(os.getenv("KAFKA_LINGER_MS", 0)), - help="Max time to wait for more messages when creating batch (also use env variable KAFKA_LINGER_MS)", - ) - parser.add_argument( - "--kafka-compression-type", - choices=[None, "gzip", "snappy", "lz4"], - default=os.getenv("KAFKA_COMPRESSION_TYPE", None), - help="The compression type for all data generated by the producer (also use env variable KAFKA_COMPRESSION_TYPE)", - ) - parser.add_argument( - "--kafka-batch-size", - type=int, - default=int(os.getenv("KAFKA_BATCH_SIZE", 16384)), - help="Max size of the batch before sending (also use env variable KAFKA_BATCH_SIZE)", - ) - parser.add_argument( - "--kafka-buffer-memory", - type=int, - default=int(os.getenv("KAFKA_BUFFER_MEMORY", 33554432)), - help="Memory the producer can use at max for batching (also use env variable KAFKA_BUFFER_MEMORY)", - ) - parser.add_argument( - "--kafka-retries", - type=int, - default=int(os.getenv("KAFKA_RETRIES", 0)), - help="Resend any record whose send fails this many times. Can cause duplicates! (also use env variable KAFKA_RETRIES)", - ) - - -def add_mosquitto_opts(parser): - parser.add_argument( - "--mosquitto-host", - default=os.getenv("MOSQUITTO_HOST", "localhost"), - help="Mosquitto host (also use env variable MOSQUITTO_HOST)", - ) - parser.add_argument( - "--mosquitto-port", - type=int, - default=int(os.getenv("MOSQUITTO_PORT", 8883)), - help="Mosquitto port (also use env variable MOSQUITTO_PORT)", - ) - parser.add_argument( - "--mosquitto-timeout", - type=int, - default=int(os.getenv("MOSQUITTO_TIMEOUT", 60)), - help="Mosquitto timeout (also use env variable MOSQUITTO_TIMEOUT)", - ) - parser.add_argument( - "--mosquitto-username", - default=os.getenv("MOSQUITTO_USERNAME", None), - help="Mosquitto username (also use env variable MOSQUITTO_USERNAME)", - ) - parser.add_argument( - "--mosquitto-password", - default=os.getenv("MOSQUITTO_PASSWORD", None), - help="Mosquitto password (also use env variable MOSQUITTO_PASSWORD)", - ) - parser.add_argument( - "--mosquitto-tls", - action="store_true", - default=False, - help="Setup TLS when talking to mosquitto host", - ) - parser.add_argument( - "--mosquitto-transport", - default=os.getenv("MOSQUITTO_TRANSPORT", "tcp"), - choices=["tcp", "websockets"], - help="Mosquitto transport (also use env variable MOSQUITTO_TRANSPORT)", - ) - parser.add_argument( - "--mosquitto-topic-prefix", - default=os.getenv("MOSQUITTO_TOPIC_PREFIX", "perf"), - help="Mosquitto topic prefix (also use env variable MOSQUITTO_TOPIC_PREFIX)", - ) - - -def add_s3_opts(parser): - parser.add_argument( - "--s3-aws-access-key-id", - default=os.getenv("S3_AWS_ACCESS_KEY_ID", "abcdef"), - help="AWS S3 access key ID (also use env variable S3_AWS_ACCESS_KEY_ID)", - ) - parser.add_argument( - "--s3-aws-region", - default=os.getenv("S3_AWS_REGION", "us-east-1"), - help="AWS S3 region (also use env variable S3_AWS_REGION)", - ) - parser.add_argument( - "--s3-aws-secret-access-key", - default=os.getenv("S3_AWS_SECRET_ACCESS_KEY", "abcdef"), - help="AWS S3 secret access key (also use env variable S3_AWS_SECRET_ACCESS_KEY)", - ) - parser.add_argument( - "--s3-bucket", - default=os.getenv("S3_BUCKET", "abcdef"), - help="AWS S3 bucket (also use env variable S3_BUCKET)", - ) - parser.add_argument( - "--s3-endpoint", - default=os.getenv("S3_ENDPOINT", "abcdef"), - help="AWS S3 endpoint (also use env variable S3_ENDPOINT)", - ) - - -def add_locust_opts(parser): - # Is this a simple local runner or master or worker? - parser.add_argument( - "--locust-local-runner", - action="store_true", - default=True if os.getenv("LOCUST_LOCAL_RUNNER", "true") == "true" else False, - help="Make this a local runner (also use env variable LOCUST_LOCAL_RUNNER)", - ) - parser.add_argument( - "--locust-master-runner", - action="store_true", - default=True if os.getenv("LOCUST_MASTER_RUNNER", "false") == "true" else False, - help="Make this a master runner which does not do any requests (also use env variable LOCUST_MASTER_RUNNER)", - ) - parser.add_argument( - "--locust-worker-runner", - action="store_true", - default=True if os.getenv("LOCUST_WORKER_RUNNER", "false") == "true" else False, - help="Make this a worker runner (also use env variable LOCUST_WORKER_RUNNER)", - ) - - # Master specific parameters - parser.add_argument( - "--locust-master-expect-workers", - dest="expect_workers", - type=int, - default=int(os.getenv("LOCUST_MASTER_EXPECT_WORKERS", 1)), - help="How many workers to expect before starting the test (also use env variable LOCUST_MASTER_EXPECT_WORKERS)", - ) - - # Worker specific parameters - parser.add_argument( - "--locust-worker-master-host", - dest="master_host", - default=os.getenv("LOCUST_WORKER_MASTER_HOST", "localhost"), - help="Master host to connect to port 5557 (also use env variable LOCUST_WORKER_MASTER_HOST)", - ) - - # Locust run parameters - parser.add_argument( - "--locust-num-clients", - dest="num_clients", - type=int, - default=int(os.getenv("LOCUST_NUM_CLIENTS", 100)), - help="Locust number of clients (also use env variable LOCUST_NUM_CLIENTS)", - ) - parser.add_argument( - "--locust-hatch-rate", - dest="hatch_rate", - type=float, - default=float(os.getenv("LOCUST_HATCH_RATE", 10)), - help="Locust hatch rate (also use env variable LOCUST_HATCH_RATE)", - ) - parser.add_argument( - "--locust-host", - dest="host", - default=os.getenv("LOCUST_HOST", "http://rbac.qa.svc:8080"), - help="Locust host to test (also use env variable LOCUST_HOST)", - ) - parser.add_argument( - "--locust-stop-timeout", - dest="stop_timeout", - type=int, - default=int(os.getenv("LOCUST_STOP_TIMEOUT", 10)), - help="Locust stop timeout (also use env variable LOCUST_STOP_TIMEOUT)", - ) - parser.add_argument( - "--locust-wait-for-worker-timeout", - dest="worker_wait_timeout", - type=int, - default=int(os.getenv("LOCUST_WAIT_FOR_WORKER_TIMEOUT", 120)), - help="Locust timeout [s] for waiting until worker pods are ready. (also use env variable LOCUST_WAIT_FOR_WORKER_TIMEOUT)", - ) - - # Our test specific parameters - parser.add_argument( - "--test-duration", - type=int, - default=os.getenv("TEST_DURATION", 100), - help="Test duration (also use env variable TEST_DURATION)", - ) - parser.add_argument( - "--test-requests", - type=int, - default=os.getenv("TEST_REQUESTS", 0), - help="Number of requests - if non-0, this overrides test duration (also use env variable TEST_REQUESTS)", - ) - parser.add_argument( - "--test-url-suffix", - default=os.getenv("TEST_URL_SUFFIX", "/api/rbac/v1"), - help="Test host URL suffix (also use env variable TEST_URL_SUFFIX)", - ) - - -def add_tables_def_opts(parser): - parser.add_argument( - "--tables-definition", - type=argparse.FileType("r"), - default=open(os.getenv("TABLES_DEFINITION", "tables.yaml"), "r"), - help="File defining tables and SQL to create them (also use env variable TABLES_DEFINITION)", - ) diff --git a/opl/cluster_read.py b/opl/cluster_read.py deleted file mode 100755 index 73fd30d..0000000 --- a/opl/cluster_read.py +++ /dev/null @@ -1,675 +0,0 @@ -import logging -import argparse -import csv -import yaml -import json -import subprocess -import re -import requests -import os -import jinja2 -import jinja2.exceptions -import boto3 -import urllib3 -import tempfile - -from . import data -from . import date -from . import status_data -from . import retry - - -def execute(command): - p = subprocess.run( - command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE - ) - if p.returncode != 0 or len(p.stderr) != 0: - stderr = p.stderr.decode().strip().replace("\n", "\t") - stdout = p.stdout.decode().strip().replace("\n", "\t") - logging.error( - f"Failed to execute command '{command}' - returned stdout '{stdout}', stderr '{stderr}' and returncode '{p.returncode}'" - ) - result = None - else: - result = p.stdout.decode().strip() - - return result - - -def redact_sensitive_headers(data: dict): - # Lower-case list of sensitive data in header - sensitive_headers = ["authorization", "set-cookie", "x-api-key", "cookie"] - - redacted_headers = {} - for header, value in data.items(): - if header.lower() in sensitive_headers: - redacted_headers[header] = "" - else: - redacted_headers[header] = value - return redacted_headers - - -def _debug_response(r): - """ - Print various info about the requests response. Should be called when - request failed - """ - logging.error("URL = %s" % r.url) - logging.error("Request headers = %s" % redact_sensitive_headers(r.request.headers)) - logging.error("Response headers = %s" % redact_sensitive_headers(r.headers)) - logging.error("Response status code = %s" % r.status_code) - logging.error("Response content = %s" % r.content[:500]) - raise Exception("Request failed") - - -def dir_path(path): - """ - Utility function to be used in Argparse to check for argument is a directory. - """ - if os.path.isdir(path): - return path - else: - raise argparse.ArgumentTypeError(f"{path} is not directory") - - -class BasePlugin: - def __init__(self, args): - self.args = args - - def measure(self, ri, **args): - pass - - def _dump_raw_data(self, name, mydata): - """ - Dumps raw data for monitoring plugins into CSV files (first column - for timestamp, second for value) into provided directory. - """ - if self.args.monitoring_raw_data_dir is None: - return - - file_name = re.sub("[^a-zA-Z0-9-]+", "_", name) + ".csv" - file_path = os.path.join(self.args.monitoring_raw_data_dir, file_name) - - logging.debug(f"Dumping raw data ({len(mydata)} rows) to {file_path}") - with open(file_path, "w", newline="") as csvfile: - csvwriter = csv.writer(csvfile) - csvwriter.writerow(["timestamp", name]) - csvwriter.writerows(mydata) - - @staticmethod - def add_args(parser): - pass - - -class PrometheusMeasurementsPlugin(BasePlugin): - def _get_token(self): - if self.args.prometheus_token is None: - self.args.prometheus_token = execute("oc whoami -t") - if self.args.prometheus_token is None: - raise Exception("Failsed to get token") - return self.args.prometheus_token - - def measure(self, ri, name, monitoring_query, monitoring_step): - logging.debug( - f"/Getting data for {name} using Prometheus query {monitoring_query} and step {monitoring_step}" - ) - - assert ( - ri.start is not None and ri.end is not None - ), "We need timerange to approach Prometheus" - # Get data from Prometheus - url = f"{self.args.prometheus_host}:{self.args.prometheus_port}/api/v1/query_range" - headers = { - "Content-Type": "application/json", - } - if not self.args.prometheus_no_auth: - headers["Authorization"] = f"Bearer {self._get_token()}" - params = { - "query": monitoring_query, - "step": monitoring_step, - "start": ri.start.timestamp(), - "end": ri.end.timestamp(), - } - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - response = requests.get( - url, headers=headers, params=params, verify=False, timeout=60 - ) - if not response.ok or response.headers["Content-Type"] != "application/json": - _debug_response(response) - - # Check that what we got back seems OK - json_response = response.json() - logging.debug("Response: %s" % json_response) - assert json_response["status"] == "success", "'status' needs to be 'success'" - assert "data" in json_response, "'data' needs to be in response" - assert ( - "result" in json_response["data"] - ), "'result' needs to be in response's 'data'" - assert ( - len(json_response["data"]["result"]) != 0 - ), "missing 'response' in response's 'data'" - assert ( - len(json_response["data"]["result"]) == 1 - ), "we need exactly one 'response' in response's 'data'" - assert ( - "values" in json_response["data"]["result"][0] - ), "we need expected form of response" - - mydata = [ - (i[0], float(i[1])) for i in json_response["data"]["result"][0]["values"] - ] - stats = data.data_stats([i[1] for i in mydata]) - self._dump_raw_data(name, mydata) - return name, stats - - @staticmethod - def add_args(parser): - parser.add_argument( - "--prometheus-host", - default="https://prometheus-k8s.openshift-monitoring.svc", - help="Prometheus server to talk to", - ) - parser.add_argument( - "--prometheus-port", - type=int, - default=9091, - help="Port Prometheus is listening on", - ) - parser.add_argument( - "--prometheus-token", - default=None, - help='Authorization token without the "Bearer: " part. If not provided, we will try to get one with "oc whoami -t"', - ) - parser.add_argument( - "--prometheus-no-auth", - action="store_true", - help="Do not send auth headers to Prometheus", - ) - - -class GrafanaMeasurementsPlugin(BasePlugin): - def _sanitize_target(self, target): - target = target.replace("$Node", self.args.grafana_node) - target = target.replace("$Interface", self.args.grafana_interface) - target = target.replace("$Cloud", self.args.grafana_prefix) - return target - - @retry.retry_on_traceback(max_attempts=10, wait_seconds=1) - def measure(self, ri, name, grafana_target, grafana_enritchment={}, grafana_include_vars=False): - assert ( - ri.start is not None and ri.end is not None - ), "We need timerange to approach Grafana" - if ri.start.strftime("%s") == ri.end.strftime("%s"): - return name, None - - # Metadata for the request - headers = { - "Accept": "application/json, text/plain, */*", - } - if self.args.grafana_token is not None: - headers["Authorization"] = "Bearer %s" % self.args.grafana_token - params = { - "target": [self._sanitize_target(grafana_target)], - "from": int(ri.start.timestamp()), - "until": round(ri.end.timestamp()), - "format": "json", - } - url = f"{self.args.grafana_host}:{self.args.grafana_port}/api/datasources/proxy/{self.args.grafana_datasource}/render" - - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - r = requests.post( - url=url, headers=headers, params=params, timeout=60, verify=False - ) - if ( - not r.ok - or r.headers["Content-Type"] != "application/json" - or r.json() == [] - ): - _debug_response(r) - logging.debug("Response: %s" % r.json()) - - points = [float(i[0]) for i in r.json()[0]["datapoints"] if i[0] is not None] - stats = data.data_stats(points) - - # Add user defined data to the computed stats - if grafana_enritchment is not None and grafana_enritchment != {}: - stats["enritchment"] = grafana_enritchment - - # If requested, add info about what variables were used to the computed stats - if grafana_include_vars: - stats["variables"] = { - "$Node": self.args.grafana_node, - "$Interface": self.args.grafana_interface, - "$Cloud": self.args.grafana_prefix, - } - - return name, stats - - @staticmethod - def add_args(parser): - parser.add_argument( - "--grafana-host", default="", help="Grafana server to talk to" - ) - parser.add_argument( - "--grafana-chunk-size", - type=int, - default=10, - help="How many metrices to obtain from Grafana at one request", - ) - parser.add_argument( - "--grafana-port", - type=int, - default=11202, - help="Port Grafana is listening on", - ) - parser.add_argument( - "--grafana-prefix", - default="satellite62", - help="Prefix for data in Graphite", - ) - parser.add_argument( - "--grafana-datasource", type=int, default=1, help="Datasource ID in Grafana" - ) - parser.add_argument( - "--grafana-token", - default=None, - help='Authorization token without the "Bearer: " part', - ) - parser.add_argument( - "--grafana-node", - default="satellite_satperf_local", - help="Monitored host node name in Graphite", - ) - parser.add_argument( - "--grafana-interface", - default="interface-em1", - help="Monitored host network interface name in Graphite", - ) - - -class PerformanceInsightsMeasurementPlugin(BasePlugin): - def get_formatted_metric_query(self, metric_query): - return [{"Metric": metric_query}] - - def measure(self, requested_info, name, identifier, metric_query, metric_step): - logging.debug( - f"/Getting data for {identifier} using PI query {metric_query} with monitoring interval {metric_step}" - ) - - assert ( - requested_info.start is not None and requested_info.end is not None - ), "We need timerange to approach AWS PI service" - - assert ( - self.args.aws_pi_access_key_id is not None - and self.args.aws_pi_secret_access_key is not None - ), "We need AWS access key and secret key to create the client for accessing PI service" - - # Create a low-level service client - aws_session = boto3.session.Session( - aws_access_key_id=self.args.aws_pi_access_key_id, - aws_secret_access_key=self.args.aws_pi_secret_access_key, - region_name=self.args.aws_pi_region_name, - ) - aws_client = aws_session.client("pi") - response = aws_client.get_resource_metrics( - ServiceType="RDS", - Identifier=identifier, - StartTime=requested_info.start, - EndTime=requested_info.end, - MetricQueries=self.get_formatted_metric_query(metric_query), - PeriodInSeconds=metric_step, - ) - - # Check that what we got back seems OK - logging.debug(f"Response: {response}") - assert len(response["MetricList"]) > 0, "'MetricList' should not be empty" - assert ( - response["MetricList"][0]["Key"]["Metric"] == metric_query - ), "'metric_query' needs to be in response" - assert ( - len(response["MetricList"][0]["DataPoints"]) > 0 - ), "'DataPoints' needs to be in response" - - points = [ - data_point["Value"] - for data_point in response["MetricList"][0]["DataPoints"] - if "Value" in data_point - ] - if len(points) < len(response["MetricList"][0]["DataPoints"]): - logging.info( - f"Value is missing in the AWS PI datapoints, total data points: {len(response['MetricList'][0]['DataPoints'])}, available values: {len(points)}" - ) - stats = data.data_stats(points) - return name, stats - - @staticmethod - def add_args(parser): - parser.add_argument( - "--aws-pi-access-key-id", - default=os.getenv("AWS_PI_READ_ONLY_ACCESS_KEY_ID"), - help="The aws access key to use when creating the client for accessing PI service", - ) - parser.add_argument( - "--aws-pi-secret-access-key", - default=os.getenv("AWS_PI_READ_ONLY_SECRET_ACCESS_KEY"), - help="The aws secret key to use when creating the client for accessing PI service", - ) - parser.add_argument( - "--aws-pi-region-name", - default="us-east-1", - help="The name of the aws region associated with the client", - ) - - -class ConstantPlugin(BasePlugin): - def measure(self, ri, name, constant): - """ - Just store given constant - """ - return name, constant - - -class EnvironmentPlugin(BasePlugin): - def measure(self, ri, name, env_variable): - """ - Just get value of given environment variable - """ - return name, os.environ.get(env_variable, None) - - -class CommandPlugin(BasePlugin): - def measure(self, ri, name, command, output="text"): - """ - Execute command "command" and return result as per its "output" configuration - """ - # Execute the command - result = execute(command) - - # Sanitize command response - if result is not None: - if output == "text": - pass - elif output == "json": - result = json.loads(result) - elif output == "yaml": - result = yaml.load(result, Loader=yaml.SafeLoader) - else: - raise Exception(f"Unexpected output type '{output}' for '{name}'") - - return name, result - - -class CountLinePlugin(BasePlugin): - def measure( - self, - ri, - config, - output="text", - ): - """ - Execute command "command" and return result as per its "output" configuration - """ - name = config["name"] - log_source_command = config["log_source_command"] - result = execute(log_source_command).splitlines() - - output = {} - output["all"] = len(result) - - for pattern_name, pattern_value in config.items(): - if not pattern_name.startswith("log_regexp_"): - continue - pattern_key = pattern_name[len("log_regexp_") :] - pattern_regexp = re.compile(pattern_value) - counter = 0 - for line in result: - if pattern_regexp.search(line): - counter += 1 - output[pattern_key] = counter - - return name, output - - -class CopyFromPlugin(BasePlugin): - def measure(self, ri, name, copy_from): - """ - Just return value from previously answered item - """ - if ri.sd is None: - return name, None - else: - return name, ri.sd.get(copy_from) - - -class TestFailMePlugin(BasePlugin): - def measure(self, ri, name, **kwargs): - """ - Just raise an exception. Mean for tests only. - """ - _ = 1 / 0 - - -PLUGINS = { - "test_fail_me": TestFailMePlugin, - "constant": ConstantPlugin, - "env_variable": EnvironmentPlugin, - "command": CommandPlugin, - "copy_from": CopyFromPlugin, - "log_source_command": CountLinePlugin, - "monitoring_query": PrometheusMeasurementsPlugin, - "grafana_target": GrafanaMeasurementsPlugin, - "metric_query": PerformanceInsightsMeasurementPlugin, -} - - -def config_stuff(config): - """ - "config" is yaml loadable stuff - either opened file object, or string - containing yaml formated data. First of all we will run it through - Jinja2 as a template with env variables to expand - """ - - class MyLoader(jinja2.BaseLoader): - """ - Our custom wide open and possibly unsecure jinja2 loader - - Main template is stored as a string, but also capable of loading - templates to satisfy things like: - - {% extends "../something.yaml" %} - - or: - - {% import '../something.yaml' as something %} - - It is very similar to `jinja2.FileSystemLoader('/')` but can also - handle loading files with relative path. - """ - - def __init__(self, main_template): - self.main_template = main_template - - def get_source(self, environment, path): - if path == "main_template": - return self.main_template, None, lambda: True - - if not os.path.exists(path): - raise jinja2.exceptions.TemplateNotFound(path) - - mtime = os.path.getmtime(path) - with open(path) as f: - source = f.read() - - return source, path, lambda: mtime == os.path.getmtime(path) - - if not isinstance(config, str): - config = config.read() - - env = jinja2.Environment(loader=MyLoader(config)) - template = env.get_template("main_template") - - config_rendered = template.render(os.environ) - return yaml.load(config_rendered, Loader=yaml.SafeLoader) - - -class RequestedInfo: - def __init__( - self, config, start=None, end=None, args=argparse.Namespace(), sd=None - ): - """ - "config" is input for config_stuff function - "start" and "end" are datetimes needed if config file contains some - monitoring items to limit from and to time of returned monitoring - data - """ - self.config = config_stuff(config) - self.start = start - self.end = end - self.args = args - self.sd = sd - - self._index = 0 # which config item are we processing? - self._token = None # OCP token - we will take it from `oc whoami -t` if needed - self.measurement_plugins = ( - {} - ) # objects to use for measurements (it's 'measure()' method) by key in config - - # Register plugins - for name, plugin in PLUGINS.items(): - try: - self.register_measurement_plugin(name, plugin(args)) - except Exception as e: - logging.warning(f"Failed to register plugin {name}: {e}") - - def register_measurement_plugin(self, key, instance): - self.measurement_plugins[key] = instance - - def get_config(self): - return self.config - - def __iter__(self): - return self - - def _find_plugin(self, keys): - for key in keys: - if key in self.measurement_plugins: - return self.measurement_plugins[key] - return False - - def __next__(self): - """ - Gives tuple of key and value for every item in the config file - """ - i = self._index - self._index += 1 - if i < len(self.config): - if self._find_plugin(self.config[i].keys()): - instance = self._find_plugin(self.config[i].keys()) - name = list(self.config[i].keys())[1] - try: - if name == "log_source_command": - output = instance.measure(self, self.config[i]) - else: - output = instance.measure(self, **self.config[i]) - except Exception as e: - logging.exception( - f"Failed to measure {self.config[i]['name']}: {e}" - ) - output = (None, None) - return output - else: - raise Exception(f"Unknown config '{self.config[i]}'") - else: - raise StopIteration - - -def doit(args): - if args.requested_info_string: - config = f""" - - name: requested-info-string - command: {args.requested_info_string} - output: {args.requested_info_outputtype} - """ - else: - config = args.requested_info_config - - sd = status_data.StatusData(tempfile.NamedTemporaryFile().name) - - requested_info = RequestedInfo( - config, - args.monitoring_start, - args.monitoring_end, - args=args, - sd=sd, - ) - - if args.render_config: - print(yaml.dump(requested_info.get_config(), width=float("inf"))) - else: - for k, v in requested_info: - print(f"{k}: {v}") - - -def main(): - parser = argparse.ArgumentParser( - description="Run commands defined in a config file and show output", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument( - "--requested-info-config", - type=argparse.FileType("r"), - help="File with list of commands to run", - ) - parser.add_argument( - "--requested-info-string", help="Ad-hoc command you want to run" - ) - parser.add_argument( - "--requested-info-outputtype", - default="text", - choices=["text", "json", "yaml"], - help='Ad-hoc command output type, default to "text"', - ) - parser.add_argument( - "--monitoring-start", - type=date.my_fromisoformat, - help="Start of monitoring interval in ISO 8601 format in UTC with seconds precision", - ) - parser.add_argument( - "--monitoring-end", - type=date.my_fromisoformat, - help="End of monitoring interval in ISO 8601 format in UTC with seconds precision", - ) - parser.add_argument( - "--monitoring-raw-data-dir", - type=dir_path, - help="Provide a direcotory if you want raw monitoring data to be dumped in CSV files form", - ) - parser.add_argument( - "--render-config", action="store_true", help="Just render config" - ) - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - for name, plugin in PLUGINS.items(): - plugin.add_args(parser) - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - if args.requested_info_config is None and args.requested_info_string is None: - logging.error( - "At least one of '--requested-info-config' or '--requested-info-string' needs to be set" - ) - return 1 - if ( - args.requested_info_config is not None - and args.requested_info_string is not None - ): - logging.error( - "Only one of '--requested-info-config' or '--requested-info-string' can be set" - ) - return 1 - - logging.debug(f"Args: {args}") - - doit(args) diff --git a/opl/cluster_read_example.yaml b/opl/cluster_read_example.yaml deleted file mode 100644 index 93145e4..0000000 --- a/opl/cluster_read_example.yaml +++ /dev/null @@ -1,29 +0,0 @@ -- name: parameters.cluster.pods.upload-service.count - command: oc -n qa get pods -l app=upload-service -o name | wc -l -- name: parameters.cluster.pods.insights-puptoo.count - command: oc -n qa get pods -l app=insights-puptoo -o name | wc -l -- name: parameters.cluster.pods.insights-storage-broker.count - command: oc -n qa get pods -l app=insights-storage-broker -o name | wc -l - -# TODO: We should query deployment config here I think -- name: parameters.cluster.pods.vulnerability-engine-listener.resources - command: oc -n qa get pods -l deploymentconfig=vulnerability-engine-listener -o json | python3 -c "import sys, json; print(json.dumps(json.load(sys.stdin)['items'][0]['spec']['containers'][0]['resources']))" - output: json - -- name: measurements.insights-inventory-mq-service.cpu - monitoring_query: sum(pod_name:container_cpu_usage:sum{pod_name=~'insights-inventory-mq-service-.*',namespace='qa'}) - monitoring_step: 60 - -- name: measurements.satellite.load - grafana_target: $Cloud.$Node.load.load.shortterm - -- name: parameters.test_description - constant: This test is about this and that - -- name: parameters.env.JOB_NAME_ID - env_variable: JOB_NAME_ID - -- name: measurements.logs.openshift-pipelines.pipelines-as-code-controller - log_source_command: oc -n openshift-pipelines logs --since=10h --all-containers --selector app.kubernetes.io/component=controller,app.kubernetes.io/instance=default,app.kubernetes.io/name=controller,app.kubernetes.io/part-of=pipelines-as-code,app=pipelines-as-code-controller - log_regexp_error: '"level":"error"' - log_regexp_warning: '"level":"warning"' diff --git a/opl/cluster_read_sat.yaml b/opl/cluster_read_sat.yaml deleted file mode 100644 index 23479c2..0000000 --- a/opl/cluster_read_sat.yaml +++ /dev/null @@ -1,56 +0,0 @@ -# Minimal set of values (generally relevant on any host) -- name: measurements.satellite.load.load.shortterm - grafana_target: $Cloud.$Node.load.load.shortterm -- name: measurements.satellite.memory.memory-used - grafana_target: $Cloud.$Node.memory.memory-used -- name: measurements.satellite.swap.swap-used - grafana_target: $Cloud.$Node.swap.swap-used -- name: measurements.satellite.disk_octets.read - grafana_target: scale(sum($Cloud.$Node.*.disk_octets.read), 8) -- name: measurements.satellite.disk_octets.write - grafana_target: scale(sum($Cloud.$Node.*.disk_octets.write), 8) -- name: measurements.satellite.eth1.if_octets.tx - grafana_target: scale($Cloud.$Node.$Interface.if_octets.tx, 8) -- name: measurements.satellite.eth1.if_octets.rx - grafana_target: scale($Cloud.$Node.$Interface.if_octets.rx, 8) -# Extra values specifically for Satellite 6 -- name: measurements.satellite.processes-httpd.ps_rss - grafana_target: $Cloud.$Node.processes-httpd.ps_rss -- name: measurements.satellite.processes-ruby.ps_rss - grafana_target: $Cloud.$Node.processes-ruby.ps_rss -- name: measurements.satellite.processes-dynflow_executor.ps_rss - grafana_target: $Cloud.$Node.processes-dynflow_executor.ps_rss -- name: measurements.satellite.processes-postgres.ps_rss - grafana_target: $Cloud.$Node.processes-postgres.ps_rss -- name: measurements.satellite.processes-Tomcat.ps_rss - grafana_target: $Cloud.$Node.processes-Tomcat.ps_rss -- name: measurements.satellite.processes-qpidd.ps_rss - grafana_target: $Cloud.$Node.processes-qpidd.ps_rss -- name: measurements.satellite.processes-qdrouterd.ps_rss - grafana_target: $Cloud.$Node.processes-qdrouterd.ps_rss -- name: measurements.satellite.processes-httpd.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-httpd.ps_cputime.user, 0.0001) -- name: measurements.satellite.processes-ruby.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-ruby.ps_cputime.user, 0.0001) -- name: measurements.satellite.processes-dynflow_executor.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-dynflow_executor.ps_cputime.user, 0.0001) -- name: measurements.satellite.processes-postgres.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-postgres.ps_cputime.user, 0.0001) -- name: measurements.satellite.processes-Tomcat.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-Tomcat.ps_cputime.user, 0.0001) -- name: measurements.satellite.processes-qpidd.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-qpidd.ps_cputime.user, 0.0001) -- name: measurements.satellite.processes-qdrouterd.ps_cputime.user - grafana_target: scale($Cloud.$Node.processes-qdrouterd.ps_cputime.user, 0.0001) -- name: measurements.satellite.postgresql-candlepin.pg_n_tup_c-del - grafana_target: $Cloud.$Node.postgresql-candlepin.pg_n_tup_c-del -- name: measurements.satellite.postgresql-candlepin.pg_n_tup_c-ins - grafana_target: $Cloud.$Node.postgresql-candlepin.pg_n_tup_c-ins -- name: measurements.satellite.postgresql-candlepin.pg_n_tup_c-upd - grafana_target: $Cloud.$Node.postgresql-candlepin.pg_n_tup_c-upd -- name: measurements.satellite.postgresql-foreman.pg_n_tup_c-del - grafana_target: $Cloud.$Node.postgresql-foreman.pg_n_tup_c-del -- name: measurements.satellite.postgresql-foreman.pg_n_tup_c-ins - grafana_target: $Cloud.$Node.postgresql-foreman.pg_n_tup_c-ins -- name: measurements.satellite.postgresql-foreman.pg_n_tup_c-upd - grafana_target: $Cloud.$Node.postgresql-foreman.pg_n_tup_c-upd diff --git a/opl/data.py b/opl/data.py deleted file mode 100644 index 2b75ea5..0000000 --- a/opl/data.py +++ /dev/null @@ -1,319 +0,0 @@ -import datetime -import logging -import math -import statistics -import time - - -class WaitForDataAndSave: - def __init__(self, data_db, storage_db, queries, save_here): - self.data_db = data_db - self.storage_db = storage_db - self.queries = queries - self.save_here = save_here - self.batch_size = 100 - self.expected_count = self._get_expected_count() - - def _get_expected_count(self): - cursor = self.storage_db.cursor() - sql = self.queries["get_expected_count"] - cursor.execute(sql) - return int(cursor.fetchone()[0]) - - def _get_remaining_count(self): - cursor = self.storage_db.cursor() - sql = self.queries["get_remaining_count"] - cursor.execute(sql) - return int(cursor.fetchone()[0]) - - def _get_remaining(self, batch_number): - cursor = self.storage_db.cursor() - sql = self.queries["get_remaining"] - cursor.execute(sql, (self.batch_size, batch_number * self.batch_size)) - return tuple([row[0] for row in cursor.fetchall()]) - - def _check_these(self, batch): - count = 0 - logging.debug(f"Checking these: {','.join(batch[:3])}... ({len(batch)} total)") - if len(batch) == 0: - return 0 - data_cursor = self.data_db.cursor() - sql = self.queries["read_these"] - data_cursor.execute(sql, (batch,)) - for row in data_cursor.fetchall(): - logging.debug(f"Saving row {row}") - self.save_here.add(row) - count += 1 - return count - - def wait_common_db_change(self): - """ - It might take some time before finished messages lands in data DB, - so wait for some change (without checking that change we see is for - some system in question). If query returns 0, it is also indication - we are ready to go. - """ - - logging.debug("Waiting for some change in the DB") - count_old = None - data_cursor = self.data_db.cursor() - sql = self.queries["get_all_done_count"] - while True: - data_cursor.execute(sql) - count = data_cursor.fetchone()[0] - - # This is first pass through the loop - if count_old is None: - count_old = count - time.sleep(10) - continue - - # Finally, there was a change - - if count == 0: - logging.info( - f"Finally, count is {count} (was {count_old}), so we can go on" - ) - break - - if count != count_old: - logging.info(f"Finally, count {count_old} changed to {count}") - break - - # Wait some more - logging.debug(f"Count is still only {count}, waiting") - count_old = count - time.sleep(10) - - def process(self): - logging.debug(f"Going to process {self.expected_count} items") - iteration = 0 - iteration_wait = 10 - batch_wait = 0.1 - found_in_total = 0 - found_recently = [ - 1 - ] # track how many items we have found in iterations - seed with fake 1, so we do not exit at first pass - found_recently_size = 100 - while True: - found_in_iteration = 0 - remaining = self._get_remaining_count() - batches_count = int(remaining / self.batch_size) + 1 - logging.debug( - f"Iteration {iteration} running with {batches_count} batches for {remaining} remaining items" - ) - - # Go through all remaining values (from storage DB) in batches - # and attempt to get dates from data DB - for batch_number in range(batches_count): - batch = self._get_remaining(batch_number) - found_count = self._check_these(batch) - logging.debug( - f"In iteration {iteration} batch {batch_number} we have found {found_count} new items" - ) - found_in_iteration += found_count - time.sleep(batch_wait) - - # Detect cases when we have not found any new items for too long - found_recently.append(found_in_iteration) - while len(found_recently) > found_recently_size: - found_recently.pop(0) - if sum(found_recently) == 0: - raise Exception( - f"Nothing found in last {len(found_recently)} iterations, giving up" - ) - - # Are we done? - if remaining == found_in_iteration: - logging.info( - f"We are done in iteration {iteration} with all {self.expected_count} items" - ) - found_in_total += found_in_iteration - break - - iteration += 1 - found_in_total += found_in_iteration - time.sleep(iteration_wait) - - return found_in_total - - -def percentile(data, percent): - if not data: - return None - - data.sort() - k = (len(data) - 1) * percent / 100 - # Python 2.x returns float for floor an ceil, so cast to int - f = int(math.floor(k)) - c = int(math.ceil(k)) - if f == c: - return data[int(k)] - - d0 = data[f] * (c - k) - d1 = data[c] * (k - f) - return d0 + d1 - - -def create_bins(data, precision, bins_number=10): - bins = [] - borders = [] - min_data = min(data) - max_data = max(data) - bin_size = (max_data - min_data) / bins_number - - borders.append(min_data) - for x in range(bins_number): - bins.append((min_data + (bin_size * x), min_data + (bin_size * (x + 1)))) - borders.append(min_data + (bin_size * (x + 1))) - - return bins, borders - - -def find_bin(value, bins): - for i in range(0, len(bins)): - if bins[i][0] <= value < bins[i][1]: - return i - return -1 - - -def histogram(data, precision=1): - if len(data) == 0: - return [0], [0, 1] - - bins, borders = create_bins(data, precision) - counts = [0] * len(bins) - - for value in data: - bin_index = find_bin(value, bins) - counts[bin_index] += 1 - - return counts, borders - - -def data_stats(data): - if len(data) == 0: - return {"samples": 0} - - data_len_before = len(data) - data = [i for i in data if isinstance(i, datetime.datetime) or math.isfinite(i)] - count_strange = data_len_before - len(data) - if count_strange > 0: - logging.warning( - f"There were {count_strange} NaN/Inf values in the data. Filtered them out." - ) - - non_zero_data = [i for i in data if i != 0] - - if isinstance(data[0], int) or isinstance(data[0], float): - q25 = percentile(data, 25) - q75 = percentile(data, 75) - q90 = percentile(data, 90) - q95 = percentile(data, 95) - q99 = percentile(data, 99) - q999 = percentile(data, 99.9) - return { - "samples": len(data), - "min": min(data), - "max": max(data), - "sum": sum(data), - "mean": statistics.mean(data), - "non_zero_mean": ( - statistics.mean(non_zero_data) if len(non_zero_data) > 0 else 0.0 - ), - "median": statistics.median(data), - "non_zero_median": ( - statistics.median(non_zero_data) if len(non_zero_data) > 0 else 0.0 - ), - "stdev": statistics.stdev(data) if len(data) > 1 else 0.0, - "range": max(data) - min(data), - "percentile25": q25, - "percentile75": q75, - "percentile90": q90, - "percentile95": q95, - "percentile99": q99, - "percentile999": q999, - "iqr": q75 - q25, - } - elif isinstance(data[0], datetime.datetime): - return { - "samples": len(data), - "min": min(data), - "max": max(data), - "mean": (max(data) - min(data)) / len(data), - "range": max(data) - min(data), - } - else: - raise Exception(f"Do not know how to get stats for list of {type(data[0])}") - - -def get_hist(data): - hist_counts, hist_borders = histogram(data) - hist_counts = [float(i) for i in hist_counts] - hist_borders = [float(i) for i in hist_borders] - out = [] - for i in range(len(hist_counts)): - out.append(((hist_borders[i], hist_borders[i + 1]), hist_counts[i])) - return out - - -def visualize_hist(data): - for i in get_hist(data): - print(f"<{i[0][0]:.2f}, {i[0][1]:.2f})\t: {i[1]}") - - -def get_rps(data, bucket_size=None, granularity=None): - """ - For given list of timestamps "data", count RPS values "bucket_size" - long interval floating across data (this is set to 10 by default - to stabilize data a bit, but you can set to 1) - """ - if len(data) == 0: - return [] - - out = [] - data_max = max(data) - bucket_start = min(data) - if bucket_size is None: - bucket_size = (data_max - bucket_start) / 30 - bucket_size = max(bucket_size, 10) - if granularity is None: - granularity = bucket_size / 5 - granularity = max(granularity, 1) - bucket_end = bucket_start + bucket_size - logging.debug( - "Counting RPS for %d data points with min %d and max %d with bucket_size=%d and granularity=%d", - len(data), - bucket_start, - data_max, - bucket_size, - granularity, - ) - - while bucket_start <= data_max: - bucket = [i for i in data if bucket_start <= i < bucket_end] - - # If this is last interval, only consider actual length of - # the interval, also check for special case case - if len(bucket) == 1 and bucket[0] == bucket_start: - bucket_duration = 1 - elif bucket_end > data_max: - bucket_duration = max(bucket) - bucket_start + 1 - else: - bucket_duration = bucket_size - - try: - rps = len(bucket) / bucket_duration - except ZeroDivisionError: - logging.warning( - "Empty bucket %s - %s when counting RPS", bucket_start, bucket_end - ) - - out.append(0) - else: - out.append(rps) - - bucket_start += granularity - bucket_end += granularity - - return out diff --git a/opl/date.py b/opl/date.py deleted file mode 100644 index 763b215..0000000 --- a/opl/date.py +++ /dev/null @@ -1,46 +0,0 @@ -import logging -import datetime - - -def my_fromisoformat(string): - """ - My limited version of datetime.datetime.fromisoformat() function. Only - accepts one format, only in UTC. Once we are able to run on newer python, - replace this with said function. - """ - if string[-1] == "Z": - string = string[:-1] + "+00:00" - if string[-6] != "+" and string[-5] != "+": - logging.warning(f"Date {string} do not have TZ info, assuming '+00:00'") - string += "+00:00" - if string[-3] != ":": - string = string[:-2] + ":" + string[-2:] - if string.endswith("+00:00"): - string_tz = datetime.timezone.utc - elif string.endswith("+01:00"): - string_tz = datetime.timezone(datetime.timedelta(hours=1)) - elif string.endswith("+02:00"): - string_tz = datetime.timezone(datetime.timedelta(hours=2)) - else: - raise ValueError(f"I do not know how to handle timezone of {string}") - string = string[:-6] - try: - out = datetime.datetime.strptime(string, "%Y-%m-%dT%H:%M:%S.%f") - except ValueError: - out = datetime.datetime.strptime(string, "%Y-%m-%dT%H:%M:%S") - out = out.replace(tzinfo=string_tz) - return out - - -def get_now_str() -> str: - """ - return current datetime in UTC string format - """ - return datetime.datetime.now(datetime.timezone.utc).isoformat() - - -def get_now() -> datetime.datetime: - """ - return current datetime in UTC datetime format - """ - return datetime.datetime.now(datetime.timezone.utc) diff --git a/opl/gen.py b/opl/gen.py deleted file mode 100644 index 1ca0c88..0000000 --- a/opl/gen.py +++ /dev/null @@ -1,85 +0,0 @@ -import random -import datetime -import base64 -import json -import uuid -import string - - -def get_auth_header(account, user, org_id): - data = { - "identity": { - "account_number": account, - "auth_type": "cert-auth", - "org_id": org_id, - "type": "User", - "user": { - "username": user, - "email": user + "@example.com", - "is_org_admin": True, - }, - "internal": { - "org_id": org_id, - }, - "system": { - "cn": None, - }, - } - } - return base64.b64encode(json.dumps(data).encode("UTF-8")) - - -def gen_datetime(plus_hours=None): - utc_now = datetime.datetime.now(tz=datetime.timezone.utc) - if plus_hours is None: - return utc_now.isoformat() - else: - add_hours = datetime.timedelta(hours=plus_hours) - return (utc_now + add_hours).isoformat() - - -def gen_account(): - return str(random.randrange(1000000, 10000000)) - - -def gen_uuid(): - return str(uuid.uuid4()) - - -def gen_subscription_manager_id(): - return gen_uuid() - - -def gen_insights_id(): - return gen_uuid() - - -def gen_machine_id(): - return gen_uuid() - - -def gen_ipv4(): - data = [str(random.randint(1, 255)) for i in range(4)] - return ".".join(data) - - -def gen_ipv6(): - return f"{random.randrange(16**4):x}:{random.randrange(16**4):x}::{random.randrange(16**4):x}:{random.randrange(16**4):x}:{random.randrange(16**4):x}" - - -def gen_mac(): - data = ["%02x" % random.randrange(256) for i in range(6)] - return ":".join(data) - - -def gen_hostname(): - return "".join(random.choices(string.ascii_lowercase, k=25)) + ".example.com" - - -def gen_string(size=10): - return "".join(random.choice(string.printable) for i in range(size)) - - -def gen_safe_string(size=10): - # starting with "u" to specify it is a username - return "u" + "".join(random.choice(string.ascii_lowercase) for _ in range(size - 1)) diff --git a/opl/investigator/README.md b/opl/investigator/README.md deleted file mode 100644 index 8989290..0000000 --- a/opl/investigator/README.md +++ /dev/null @@ -1,169 +0,0 @@ -Results investigator -==================== - -This tool (see `../pass_or_fail.py` in one level up directory) is supposed -to load historical results of given test, compare it with new result for -the same test and decide if new test result is PASS or FAIL. - -You can configure multiple things as of now: - -1. How to get historical results of the test (supports ElasticSearch, CSV - and directory of JSON files) -3. How to load new result (support just JSON file) -4. What method to use to actually find if new result is out of safe bounds - (we mostly use `if new result is biggeer than max or smaller than min - of historical data, it is FAIL`, but it is easy to implement more) -6. What metrics from the JSONs to compare (e.g. `results.rps`, - `monitoring.pod.cpu.mean` and `monitoring.pod.memory.mean`) -8. Optionally you can also configure where to store metadata about - decision the script done. This is useful to keep track about trends - (supports ElasticSearch and CSV) - -See `sample_config.yaml` for example configuration. This is what each -section is for: - -`history:` ----------- - -This specifies from where we should get historical data. Sample config -uses ElasticSearch plugin to retrieve it. Most important part here is -`es_query` which is described in ElasticSearch docs: - - https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html - -This query is used to only filter documents that are useful to us: -we only want documents for same test (you can use status data field -`name`) which were running with same parameters and so on. - -That query is Jinja2 template-able, so you can include: - - - term: - parameters.cluster.pods.yupana.count: "{{ current.get('parameters.cluster.pods.yupana.count') }}" - -to dynamically obtain the value from new result and use it to filter for -historical results. - -There are other plugins you can use to retrieve distorical data: - - * `elasticsearch` - Retrieves historical data from ElasticSearch - and is described above - - * `csv` - CSV file with rows being historical results and columns - individual data sets. Example of a CSV file: - - id,name,results.duration - run-2022-01-07T20:57:40+00:00,Test XYZ,152 - run-2022-01-08T03:01:07+00:00,Test XYZ,148 - run-2022-01-08T22:16:30+00:00,Test XYZ,155 - run-2022-01-09T04:20:04+00:00,Test XYZ,151 - run-2022-01-11T01:16:47+00:00,Test XYZ,144 - - * `sd_dir` - directory with status data files from past experiments - which allows filtering by matching various fields before loading data. - Below is example where we load data from SD files whose `name` matches - `name` value from current result. `matchers` is Jinja2 template again: - - type: sd_dir - dir: /tmp/historical_sd_storage/ - matchers: | - name: "{{ current.get('name') }}" - - -`current:` ----------- - -This specifies from where we should load new (`current`) test result -we will be evaluating. - -There is only choice now that loads current result from status data file. - -This can be overwriten by `--current-file` command line option. - - -`methods:` ----------- - -Alows you to specify list of checks you want to use to check results. -These checks are defined in `check.py`. Impractical example: - - methods: - - check_by_stdev_1 - - check_by_stdev_2 - - check_by_stdev_3 - - check_by_trim_stdev_1 - - check_by_trim_stdev_2 - - check_by_error_1 - - check_by_error_2 - - check_by_error_3 - - check_by_error_4 - - check_by_error_5 - - check_by_perc_20 - - check_by_perc_40 - - check_by_perc_60 - - check_by_perc_80 - - check_by_perc_100 - - check_by_min_max_7_1 - - check_by_min_max_7_2 - - check_by_min_max_7_3 - -This is optional and if not present or empty, default set of checks will -be used. - - -`sets:` -------- - -This list status data paths (with *numerical* values) where it makes sense -to evaluate for PASS/FAIL. E.g. you definitely want to include something -like `results.rps` or `measurements.cpu.mean`, but adding -`parameters.test_started.timestamp` might not be useful (because it does -not represent test result comparable across historical runs - this -timestamp is simply always different, based on when the test was running, -so it does not make sense to compare it across historical results). - -It also allws you to define what check methods (other then these defined in -default `methods:` should apply to this metric. You can also provide -additional possitional args if the check method needs them. - -Expected data structure looks like this: - - sets: - - name: metric1 - methods: - - name: check_by_provided_min_max - args: - - 4.5 - - 5.5 - - name: metric2 - -Default check methods from `methods:` is always added and if no method -is specified, script default method is added. - -If this is not a list but a string like in the example below, it is first -rendered via Jinja2 and only then parsed as YAML to get the final list: - - sets: | - {% if current.get('parameters.cli').startswith('experiment/reg-average.py ') %} - - name: results.items.avg_duration - {% else %} - - results.duration - {% endif %} - - name: measurements.satellite.swap.swap-used.mean - - -`decisions:` ------------- - -This is optional and serves to record internal stats about evaluation -process. Every time we do some PASS/FAIL/ERROR decision on any metric -(as defined in `sets`), we record that decision (it's parameters and -result) into system defined here. - -As of now you can use these decisions storage plugins: - - * `elasticsearch` - stores decisions to ElasticSearch index. Then in - Kibana you can have investigation of decision trends dashboards or so. - * `csv` - stores all the decisions for current test in a CSV file - (overwritten every time the tool is invoked) - -This can be turned off with `--dry-run` command line option. diff --git a/opl/investigator/__init__.py b/opl/investigator/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/opl/investigator/check.py b/opl/investigator/check.py deleted file mode 100644 index 49a0206..0000000 --- a/opl/investigator/check.py +++ /dev/null @@ -1,211 +0,0 @@ -import collections -import inspect -import logging -import statistics - - -def _count_deviation(value, lower_boundary, upper_boundary): - if lower_boundary <= value <= upper_boundary: - return None - else: - dist = min(abs(lower_boundary - value), abs(value - upper_boundary)) - try: - frac = dist / abs(upper_boundary - lower_boundary) - except ZeroDivisionError: - frac = 1 - logging.debug( - f"_count_deviation({value}, {lower_boundary}, {upper_boundary}): dist={dist} frac={frac}" - ) - return frac - - -def _calculate_lower_upper_boundary(data, mean, comparator): - """Returns the calculated lower and upper boundary of the data - - Args: - data: collected history data - mean: mean of the collected history data - comparator: defines the type of comparison to be done - - Returns: - tuple with lower and upper boundary - """ - assert isinstance(data, list), "Data provided have to be a list" - lower_boundary = float(mean - (mean - min(data))) - upper_boundary = float(mean + (max(data) - mean)) - if comparator == "lte_max": - return (float("-inf"), upper_boundary) - elif comparator == "gte_min": - return (lower_boundary, float("inf")) - else: - return (lower_boundary, upper_boundary) - - -def _check_by_min_max(data, value, comparator): - """Checks the value range using lower and upper boundary. - If the value is within given range it is a PASS else a FAIL - - Be cautions when using comparator other than None: - - Imagine these historical data measurements.memory_used: - - 100, 105, 95, 102, 98 - - And check configured with comparator being lte_max. - - Now imagine your new value, the value you are checking is 0. - That check would say PASS even though it clearly looks - suspicious. Not only because "memory can not be 0", but more - importantly because "the improvement is so massive, that is - looks suspicious and most probably just point on some error - with collecting that data". - - Args: - data: collected history data - value: value to be checked against - comparator: defines the type of comparison to be done - - Returns: - Boolean value - """ - logging.debug(f"data={data} and value={value}") - mean = statistics.mean(data) - lower_boundary, upper_boundary = _calculate_lower_upper_boundary( - data, mean, comparator - ) - logging.info( - f"value={value}, data len={len(data)} mean={mean:.03f}, i.e. boundaries={lower_boundary:.03f}--{upper_boundary:.03f}" - ) - info = collections.OrderedDict( - [ - ("method", inspect.stack()[1][3]), - ("value", value), - ("data len", len(data)), - ("data mean", mean), - ("data min", float(min(data))), - ("data max", float(max(data))), - ("lower_boundary", lower_boundary), - ("upper_boundary", upper_boundary), - ] - ) - return lower_boundary <= value <= upper_boundary, info - - -def _check_by_stdev(data, value, num_deviations): - logging.debug(f"data={data} and value={value}") - mean = statistics.mean(data) - stdev = statistics.stdev(data) - acceptable_deviation = stdev * num_deviations - lower_boundary = float(mean - acceptable_deviation) - upper_boundary = float(mean + acceptable_deviation) - logging.info( - f"value={value}, data len={len(data)} mean={mean:.03f}, stdev={stdev:.03f}, boundaries={lower_boundary:.03f}--{upper_boundary:.03f}" - ) - info = collections.OrderedDict( - [ - ("method", inspect.stack()[1][3]), - ("value", value), - ("data len", len(data)), - ("data mean", mean), - ("data stdev", stdev), - ("data min", float(min(data))), - ("data max", float(max(data))), - ("lower_boundary", lower_boundary), - ("upper_boundary", upper_boundary), - ] - ) - return lower_boundary <= value <= upper_boundary, info - - -def check_by_iqr(data, value): - """Checks if the current value is within the interquartile range of the previous values""" - logging.debug(f"data={data} and value={value}") - mean = statistics.mean(data) - quantiles = statistics.quantiles(data) - lower_boundary = float(quantiles[0]) - upper_boundary = float(quantiles[2]) - logging.info( - f"value={value}, data len={len(data)} mean={mean:.03f}, boundaries={lower_boundary:.03f}--{upper_boundary:.03f}" - ) - info = collections.OrderedDict( - [ - ("method", inspect.stack()[0][3]), - ("value", value), - ("data len", len(data)), - ("data mean", mean), - ("data quantiles", quantiles), - ("data min", float(min(data))), - ("data max", float(max(data))), - ("lower_boundary", lower_boundary), - ("upper_boundary", upper_boundary), - ] - ) - return lower_boundary <= value <= upper_boundary, info - - -def check_by_min_max_0_1(data, value): - """Checks if the current value is within the min/max range of previous values""" - return _check_by_min_max(data, value, None) - - -def check_by_lte_max(data, value): - """Checks if the current value is less than max range of previous values""" - return _check_by_min_max(data, value, "lte_max") - - -def check_by_gte_min(data, value): - """Checks if the current value is more than min range of previous values""" - return _check_by_min_max(data, value, "gte_min") - - -def check_by_stdev_1(data, value): - """Checks if the current value is within 1 standard deviations of the mean of previous values""" - return _check_by_stdev(data, value, 1) - - -def check_by_stdev_2(data, value): - """Checks if the current value is within 2 standard deviations of the mean of previous values""" - return _check_by_stdev(data, value, 2) - - -def check_by_stdev_3(data, value): - """Checks if the current value is within 2 standard deviations of the mean of previous values""" - return _check_by_stdev(data, value, 3) - -def check_by_provided_min_max(_, value, provided_min, provided_max): - """Checks if the current value is simply withing provided min and max values (historical values not used at all)""" - info = collections.OrderedDict( - [ - ("method", inspect.stack()[0][3]), - ("value", value), - ("lower_boundary", provided_min), - ("upper_boundary", provided_max), - ] - ) - return provided_min <= value <= provided_max, info - - -def check(methods, data, value, description="N/A", verbose=True): - assert value is not None, "Value to check should not be None" - - for method in methods: - assert method["name"] in globals(), f"Check method '{method['name']}' defined" - - results = [] - info_all = [] - for method in methods: - method_name = method["name"] - method_args = method.get("args", []) - result, info = globals()[method_name](data, value, *method_args) - results.append(result) - logging.info(f"{method_name}({', '.join([str(i) for i in method_args])}) value {value} returned {'PASS' if result else 'FAIL'}") - - info_full = collections.OrderedDict() - info_full["description"] = description - info_full["result"] = "PASS" if result else "FAIL" - info_full.update(info) - info_full["deviation"] = _count_deviation( - value, info["lower_boundary"], info["upper_boundary"] - ) - info_all.append(info_full) - return results, info_all diff --git a/opl/investigator/config.py b/opl/investigator/config.py deleted file mode 100644 index e6dfd35..0000000 --- a/opl/investigator/config.py +++ /dev/null @@ -1,172 +0,0 @@ -import logging -import os - -import jinja2 - -import yaml - - -def finalize_sets(args): - """Sets need to have methods configured. - - Before, "sets" was just a list of metrics we want to check. - - Now, "sets" is a datastructure which refferences methods (and their - parameters) that are supposed to be used for checkig. Looks like this: - - [ - { - "name": "metric_that_is_usually_10" - "methods": [ - { - "name": "check_value_from_to", - "args": [8, 12], - }, - ] - }, - ] - - To keep backwards functionality and provide simplified way of - configuration, if set is just list, it is converted to above structore. - - If no check method is provided, default one is added. - - If "methods" was configured, these check methods are added to all "sets". - """ - assert len(args.sets) > 0, "Some sets have to be configured" - - # If this is old format, convert it to new one - if isinstance(args.sets[0], str): - new = [] - for s in args.sets: - new.append({"name": s}) - args.sets = new - - # Make sure all sets have methods list - for s in args.sets: - if "methods" not in s: - s["methods"] = [] - - # If methods were specified, make sure it applies to all sets - if args.methods: - for m in args.methods: - for s in args.sets: - m_present = False - for sm in s["methods"]: - if sm["name"] == m: - m_present = True - break - if not m_present: - s["methods"].append({"name": m}) - - # If no check method configured, use default one - for s in args.sets: - if len(s["methods"]) == 0: - s["methods"].append({"name": "check_by_min_max_0_1"}) - - -def render_sets(args, template_data): - if not isinstance(args.sets, str): - logging.debug("No need to render, sets is not a string") - finalize_sets(args) - return - - logging.debug( - f"Rendering Jinja2 template sets {args.sets} with data {template_data}" - ) - env = jinja2.Environment(loader=jinja2.DictLoader({"sets": args.sets})) - template = env.get_template("sets") - rendered = template.render(template_data) - logging.debug(f"Rendered Jinja2 template sets {rendered}") - args.sets = yaml.load(rendered, Loader=yaml.SafeLoader) - finalize_sets(args) - - -def render_query(args, template_data): - logging.debug( - f"Rendering Jinja2 template query {args.history_es_query} with data {template_data}" - ) - env = jinja2.Environment(loader=jinja2.DictLoader({"query": args.history_es_query})) - template = env.get_template("query") - rendered = template.render(template_data) - logging.debug(f"Rendered Jinja2 template query {rendered}") - args.history_es_query = yaml.load(rendered, Loader=yaml.SafeLoader) - - -def render_matchers(args, template_data): - logging.debug( - f"Rendering Jinja2 template matchers {args.history_matchers} with data {template_data}" - ) - env = jinja2.Environment( - loader=jinja2.DictLoader({"matchers": args.history_matchers}) - ) - template = env.get_template("matchers") - rendered = template.render(template_data) - logging.debug(f"Rendered Jinja2 template matchers {rendered}") - args.history_matchers = yaml.load(rendered, Loader=yaml.SafeLoader) - - -def load_config_finish(args, sd): - template_data = {"current": sd, "environ": os.environ} - render_sets(args, template_data) - if args.history_type == "elasticsearch": - render_query(args, template_data) - if args.history_type == "sd_dir": - render_matchers(args, template_data) - - -def load_config(conf, fp): - """ - Load config from yaml file pointer and add to conf which is an ArgParser namespace - """ - data = yaml.load(fp, Loader=yaml.SafeLoader) - logging.debug(f"Loaded config from {fp.name}: {data}") - - conf.history_type = data["history"]["type"] - conf.current_type = data["current"]["type"] - conf.methods = data["methods"] if "methods" in data else [] - conf.sets = data["sets"] - conf.decisions_type = data["decisions"]["type"] - - if conf.history_type == "csv": - conf.history_file = open(data["history"]["file"], "r") - - if conf.history_type == "elasticsearch": - conf.history_es_server = data["history"]["es_server"] - assert not conf.history_es_server.endswith("/") - conf.history_es_index = data["history"]["es_index"] - conf.history_es_query = data["history"]["es_query"] - if "es_server_user" in data["history"]: - conf.history_es_server_user = data["history"]["es_server_user"] - conf.history_es_server_pass_env_var = data["history"][ - "es_server_pass_env_var" - ] - if "es_server_verify" in data["history"]: - conf.history_es_server_verify = data["history"]["es_server_verify"] - else: - conf.history_es_server_verify = True - - if conf.history_type == "sd_dir": - conf.history_dir = data["history"]["dir"] - conf.history_matchers = data["history"]["matchers"] - - if conf.current_file is None: - if conf.current_type == "status_data": - conf.current_file = open(data["current"]["file"], "r") - - if conf.decisions_type == "elasticsearch": - conf.decisions_es_server = data["decisions"]["es_server"] - assert not conf.decisions_es_server.endswith("/") - conf.decisions_es_index = data["decisions"]["es_index"] - if "es_server_user" in data["decisions"]: - conf.decisions_es_server_user = data["decisions"]["es_server_user"] - conf.decisions_es_server_pass_env_var = data["decisions"][ - "es_server_pass_env_var" - ] - if "es_server_verify" in data["decisions"]: - conf.decisions_es_server_verify = data["decisions"]["es_server_verify"] - else: - conf.decisions_es_server_verify = True - - if conf.decisions_type == "csv": - conf.decisions_filename = data["decisions"].get("file", data["decisions"].get("filename")) diff --git a/opl/investigator/csv_decisions.py b/opl/investigator/csv_decisions.py deleted file mode 100644 index 77019dd..0000000 --- a/opl/investigator/csv_decisions.py +++ /dev/null @@ -1,28 +0,0 @@ -import csv -import datetime -import os - - -def store(filename, decisions): - # This is our workaround on how to add additional metadata about the decision - job_name = os.environ.get("JOB_NAME", "") - build_url = os.environ.get("BUILD_URL", "") - - for decision in decisions: - decision["job_name"] = job_name - decision["build_url"] = build_url - decision["uploaded"] = datetime.datetime.now(tz=datetime.timezone.utc).isoformat() - - fieldnames = [] - for d in decisions: - for k in d.keys(): - if k not in fieldnames: - fieldnames.append(k) - - with open(filename, "w") as fp: - writer = csv.DictWriter(fp, fieldnames=fieldnames) - - writer.writeheader() - - for decision in decisions: - writer.writerow(decision) diff --git a/opl/investigator/csv_loader.py b/opl/investigator/csv_loader.py deleted file mode 100644 index 367ed2c..0000000 --- a/opl/investigator/csv_loader.py +++ /dev/null @@ -1,21 +0,0 @@ -import csv -import logging - - -def load(fp, columns): - out = {} - - for col in columns: - out[col] = [] - - reader = csv.DictReader(fp) - - for row in reader: - for col in out.keys(): - out[col].append(float(row[col])) - - logging.info( - f"Loaded file {fp.name} and parsed {len(out.keys())} columns with {len(next(iter(out.values())))} rows" - ) - - return out diff --git a/opl/investigator/elasticsearch_decisions.py b/opl/investigator/elasticsearch_decisions.py deleted file mode 100644 index a8d3e57..0000000 --- a/opl/investigator/elasticsearch_decisions.py +++ /dev/null @@ -1,44 +0,0 @@ -import datetime -import json -import logging -import os - -import requests - - -def store(server, index, decisions, **kwargs): - es_server_user = kwargs.get("es_server_user") - decisions_es_server_pass_env_var = kwargs.get("es_server_pass_env_var") - # This is our workaround on how to add additional metadata about the decision - job_name = os.environ.get("JOB_NAME", "") - build_url = os.environ.get("BUILD_URL", "") - - url = f"{server}/{index}/_doc" - headers = { - "Content-Type": "application/json", - } - for decision in decisions: - decision["job_name"] = job_name - decision["build_url"] = build_url - decision["uploaded"] = datetime.datetime.utcnow().isoformat() - - # for k, v in decision.items(): - # print(f">>> {k} = {v} ({type(v)})") - logging.info( - f"Storing decision to ES url={url}, headers={headers} and json={json.dumps(decision)}" - ) - - if es_server_user and decisions_es_server_pass_env_var: - # fetch the password from Jenkins credentials - open_search_password = os.environ.get(decisions_es_server_pass_env_var) - response = requests.post( - url, - auth=requests.auth.HTTPBasicAuth(es_server_user, open_search_password), - headers=headers, - json=decision, - ) - else: - response = requests.post(url, headers=headers, json=decision) - - if not response.ok: - logging.warning(f"Failed to store decision to ES: {response.text}") diff --git a/opl/investigator/elasticsearch_loader.py b/opl/investigator/elasticsearch_loader.py deleted file mode 100644 index f2b6d60..0000000 --- a/opl/investigator/elasticsearch_loader.py +++ /dev/null @@ -1,53 +0,0 @@ -import json -import logging -import tempfile - -import os -import opl.http -import opl.status_data -from requests.auth import HTTPBasicAuth - - -def load(server, index, query, paths, **kwargs): - es_server_user = kwargs.get("es_server_user") - es_server_pass_env_var = kwargs.get("es_server_pass_env_var") - - out = {} - - for path in paths: - out[path] = [] - - url = f"{server}/{index}/_search" - headers = { - "Content-Type": "application/json", - } - data = query - logging.info( - f"Querying ES with url={url}, headers={headers} and json={json.dumps(data)}" - ) - - if es_server_user and es_server_pass_env_var: - # fetch the password from Jenkins credentials - open_search_password = os.environ.get(es_server_pass_env_var) - response = opl.http.get( - url, - auth=HTTPBasicAuth(es_server_user, open_search_password), - headers=headers, - json=data, - ) - else: - response = opl.http.get(url, headers=headers, json=data) - - for item in response["hits"]["hits"]: - logging.debug( - f"Loading data from document ID {item['_id']} with field id={item['_source']['id'] if 'id' in item['_source'] else None} or parameters.run={item['_source']['parameters']['run'] if 'run' in item['_source']['parameters'] else None}" - ) - tmpfile = tempfile.NamedTemporaryFile(prefix=item["_id"], delete=False).name - sd = opl.status_data.StatusData(tmpfile, data=item["_source"]) - for path in paths: - tmp = sd.get(path) - if tmp is not None: - out[path].append(tmp) - - logging.debug(f"Loaded {out}") - return out diff --git a/opl/investigator/sample_config.yaml b/opl/investigator/sample_config.yaml deleted file mode 100644 index 7c0ede9..0000000 --- a/opl/investigator/sample_config.yaml +++ /dev/null @@ -1,55 +0,0 @@ -# Get previous test results from here -history: - # type: csv - # file: /tmp/data.csv - - # type: sd_dir - # dir: /tmp/historical_sd_storage/ - # matchers: | - # name: "{{ current.get('name') }}" - - type: elasticsearch - es_server: http://elasticsearch.example.com:9286 - es_index: my-index - es_query: | - query: - bool: - filter: - - term: - name.keyword: "something" - sort: - started: - order: asc - size: 30 - - -# Get results of test run to be compared to historical results -current: - type: status_data - file: /tmp/status-data.json - -# columns in case of CSV input -# JSON paths in case of status_data input -sets: - - name: collumn1 - methods: - - name: check_by_provided_min_max - args: - - 10 - - 20 - - name: collumn2 - -# These check methods will be added to all sets -methods: - - check_by_min_max_0_1 - # - check_by_iqr - # - check_by_stdev_1 - -# Shuld we log our decisions somewhere? -decisions: - # type: csv - # filename: /tmp/decisions.csv - - type: elasticsearch - es_server: http://elasticsearch.example.com:9286 - es_index: my_aa_decisions diff --git a/opl/investigator/sd_dir_loader.py b/opl/investigator/sd_dir_loader.py deleted file mode 100644 index 5e17e41..0000000 --- a/opl/investigator/sd_dir_loader.py +++ /dev/null @@ -1,37 +0,0 @@ -import logging -import os - -import opl.status_data - - -def _matches(sd, matchers): - for key, val in matchers.items(): - if sd.get(key) != val: - logging.debug(f"File {sd} key {key} does not match {val} != {sd.get(key)}") - return False - - logging.debug(f"File {sd} matches with matchers {matchers}") - return True - - -def load(data_dir, data_matchers, paths): - out = {} - - for path in paths: - out[path] = [] - - for dirpath, dirnames, filenames in os.walk(data_dir): - for f in filenames: - if not f.endswith(".json") or not os.path.isfile(os.path.join(dirpath, f)): - continue - - sd = opl.status_data.StatusData(os.path.join(dirpath, f)) - - if _matches(sd, data_matchers): - for path in paths: - tmp = sd.get(path) - if tmp is not None: - out[path].append(tmp) - - logging.debug(f"Loaded {out}") - return out diff --git a/opl/investigator/status_data_loader.py b/opl/investigator/status_data_loader.py deleted file mode 100644 index 7cdd60c..0000000 --- a/opl/investigator/status_data_loader.py +++ /dev/null @@ -1,20 +0,0 @@ -import logging - -import opl.status_data - - -def load(fp): - return opl.status_data.StatusData(fp.name) - - -def load_data(sd, paths): - out = {} - - for path in paths: - out[path] = sd.get(path) - if out[path] is None: - logging.warning(f"While loading {sd}, got None for {path}") - - logging.info(f"Loaded file {sd} and parsed {len(out.keys())} paths from it") - - return out diff --git a/opl/junit_cli.py b/opl/junit_cli.py deleted file mode 100755 index 570555d..0000000 --- a/opl/junit_cli.py +++ /dev/null @@ -1,528 +0,0 @@ -import argparse -import datetime -import json -import logging -import os -import unicodedata -import junitparser -import urllib3 -import re - -import requests - -from . import date - - -def now(): - return datetime.datetime.now(tz=datetime.timezone.utc) - - -class TestCaseWithProp(junitparser.TestCase): - def properties(self): - """ - Iterates through all properties. - """ - props = self.child(junitparser.Properties) - if props is None: - return - for prop in props: - yield prop - - def add_property(self, name, value): - """ - Adds a property to the testsuite. - """ - props = self.child(junitparser.Properties) - if props is None: - props = junitparser.Properties() - self.append(props) - prop = junitparser.Property(name, value) - props.add_property(prop) - - def get_property(self, name, default=None): - """ - Get a property from the testcase - """ - for prop in self.properties(): - if prop.name == name: - return prop.value - return default - - -class JUnitXmlPlus(junitparser.JUnitXml): - @classmethod - def fromfile_or_new(cls, filename): - if os.path.exists(filename): - instance = cls.fromfile(filename) - else: - instance = cls() - instance.filepath = filename - return instance - - def _remove_control_characters(self, s): - return "".join( - ch for ch in s if unicodedata.category(ch)[0] != "C" or ch == "\n" - ) - - def trim_string_fn(self, data, trim_length): - matches = list(re.finditer(r"\S+", data)) - if len(matches) <= trim_length: - return data - # Get the start index of the Nth-to-last word - start_index = matches[-trim_length].start() - return data[start_index:] - - def add_to_suite(self, suite_name, new): - case = TestCaseWithProp(new["name"]) - - suite_found = False - for suite in self: - if suite.name == suite_name: - logging.debug(f"Suite {suite_name} found, going to add into it") - suite_found = True - if not suite_found: - logging.debug(f"Suite {suite_name} not found, creating new one") - suite = junitparser.TestSuite(suite_name) - self.add_testsuite(suite) - - if new["result"] == "PASS": - case.result = [] - elif new["result"] == "FAIL": - case.result = [junitparser.Failure(new["message"])] - elif new["result"] == "ERROR": - case.result = [junitparser.Error(new["message"])] - else: - raise Exception(f"Invalid result {new['result']}") - - case.system_out = "" - if new["system-out"]: - for f in new["system-out"]: - try: - case.system_out += self._remove_control_characters(f.read()) - case.system_out += "\n" - except ValueError as e: - logging.error(f"Failed to load {new['system-out'].name} file: {e}") - case.system_err = "" - if new["system-err"]: - for f in new["system-err"]: - try: - case.system_err += self._remove_control_characters(f.read()) - case.system_err += "\n" - except ValueError as e: - logging.error(f"Failed to load {new['system-err'].name} file: {e}") - - case.system_out = self.trim_string_fn(case.system_out, 1000) - duration = (new["end"] - new["start"]).total_seconds() - case.time = duration - - case.add_property("start", new["start"].isoformat()) - case.add_property("end", new["end"].isoformat()) - - suite.add_testcase(case) - - self.write() - - def get_info(self): - out = [] - for suite in self: - print(f"suite: {suite}") - for prop in suite.properties(): - print(f" property: {prop}") - for case in suite: - case = TestCaseWithProp.fromelem(case) - print(f" case: {case} {case.result}") - for prop in case.properties(): - print(f" property: {prop}") - return "\n".join(out) - - def get_result(self): - RESULTS = ["PASSED", "SKIPPED", "FAILED", "ERROR"] - result = 0 - for suite in self: - for case in suite: - case = TestCaseWithProp.fromelem(case) - if len(case.result) == 0: - pass # result "PASS" can not make overall result worse - elif len(case.result) == 1: - r = case.result[0] - if isinstance(r, junitparser.junitparser.Error): - result = max(result, 3) - elif isinstance(r, junitparser.junitparser.Failure): - result = max(result, 2) - elif isinstance(r, junitparser.junitparser.Skipped): - result = max(result, 1) - else: - raise Exception( - f"No idea how to handle this result type: {r} - {type(r)}" - ) - else: - raise Exception( - f"No idea how to handle this case result: {case.result}" - ) - return RESULTS[result] - - def delete(self): - os.remove(self.filepath) - - def ibutsu_upload(self, host, token, project, verify, file, metadata): - if not verify: - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - headers = {"Authorization": f"Bearer {token}"} - if metadata: - metadata = json.dumps(self.parse_ibutsu_metadata(metadata)) - res = requests.post( - f"{host}/api/import", - headers=headers, - files={ - "importFile": (file, open(file, "rb"), "text/xml"), - }, - verify=verify, - data={"project": project, "metadata": metadata}, - ) - if not res.ok: - raise Exception(res.text) - else: - logging.debug(res.text) - - def parse_ibutsu_metadata(self, metadata_list): - """Parse the metadata from a set of strings to a dictionary""" - metadata = {} - # Loop through the list of metadata values - for pair in metadata_list: - # Split the key part from the value - key_path, value = pair.split("=", 1) - # Split the key up if it is a dotted path - keys = key_path.split(".") - current_data = metadata - # Loop through all but the last key and create the dictionary structure - for key in keys[:-1]: - if key not in current_data: - current_data[key] = {} - current_data = current_data[key] - # Finally, set the actual value - key = keys[-1] - current_data[key] = value - return metadata - - def upload(self, host, verify, project, token, launch, properties): - def req(method, url, data): - logging.debug(f"Going to do {method} request to {url} with {data}") - response = method(url, json=data, headers=headers, verify=verify) - if not response.ok: - logging.error(f"Request failed: {response.text}") - response.raise_for_status() - logging.debug(f"Request returned {response.json()}") - return response.json() - - def times(ts): - return str(int(ts.timestamp() * 1000)) - - if not verify: - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - - # Determine launch start and end by taking min from test case - # starts and max from testcase ends - start = None - end = None - suites_times = {} - for suite in self: - suite_start = None - suite_end = None - for case in suite: - case = TestCaseWithProp.fromelem(case) - for prop in case.properties(): - if prop.name == "start": - tmp = date.my_fromisoformat(prop.value) - if start is None or start > tmp: - start = tmp - if suite_start is None or suite_start > tmp: - suite_start = tmp - if prop.name == "end": - tmp = date.my_fromisoformat(prop.value) - if end is None or end < tmp: - end = tmp - if suite_end is None or suite_end < tmp: - suite_end = tmp - suite_start = suite_start if suite_start is not None else now() - suite_end = suite_end if suite_end is not None else now() - suites_times[suite.name] = [suite_start, suite_end] - start = start if start is not None else now() - end = end if end is not None else now() - - # Start a session - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {token}", - } - session = requests.Session() - - # Start launch - url = f"https://{host}/api/v1/{project}/launch" - data = { - "name": launch, - "startTime": times(start), - "mode": "DEFAULT", - "attributes": [], - } - for prop in properties: - name, value = prop.split("=") - data["attributes"].append( - { - "key": name, - "value": value, - } - ) - response = req(session.post, url, data) - launch_id = response["id"] - - # Process all the suites - for suite in self: - suite_start, suite_end = suites_times[suite.name] - - # Start root(suite) item - url = f"https://{host}/api/v1/{project}/item" - data = { - "name": suite.name, - "startTime": times(suite_start), - "type": "suite", - "launchUuid": launch_id, - "attributes": [], - } - for prop in suite.properties(): - data["attributes"].append( - { - "key": prop.name, - "value": prop.value, - } - ) - response = req(session.post, url, data) - suite_id = response["id"] - - # Process all the testcases in the suite - for case in suite: - case = TestCaseWithProp.fromelem(case) - case_start = date.my_fromisoformat(case.get_property("start", now())) - case_end = date.my_fromisoformat(case.get_property("end", now())) - - # Determine case status - if len(case.result) == 0: - result = "passed" - issue = None - elif isinstance(case.result[0], junitparser.junitparser.Error): - result = "failed" - issue = "si001" - elif isinstance(case.result[0], junitparser.junitparser.Failure): - result = "failed" - issue = "ti001" - elif isinstance(case.result[0], junitparser.junitparser.Skipped): - result = "skipped" - issue = "ti001" - else: - raise Exception(f"Unknown result for {case}: {case.result}") - - # Start child(container) item - url = f"https://{host}/api/v1/{project}/item/{suite_id}" - data = { - "name": case.name, - "startTime": times(case_start), - "type": "test", - "launchUuid": launch_id, - "attributes": [], - } - for prop in case.properties(): - data["attributes"].append( - { - "key": prop.name, - "value": prop.value, - } - ) - response = req(session.post, url, data) - case_id = response["id"] - - # Finish parent(container) item - url = f"https://{host}/api/v1/{project}/item/{case_id}" - data = { - "endTime": times(case_end), - "launchUuid": launch_id, - "status": result, - } - if issue is not None: - data["issue"] = {"issueType": issue} - response = req(session.put, url, data) - - # Add log message - url = f"https://{host}/api/v1/{project}/log" - data = { - "launchUuid": launch_id, - "itemUuid": case_id, - "time": times(case_end), - "message": case.system_out, - "level": "info", - } - response = req(session.post, url, data) - if case.system_err: - data["message"] = case.system_err - data["level"] = "error" - response = req(session.post, url, data) - - # Finish root(suite) item - url = f"https://{host}/api/v1/{project}/item/{suite_id}" - data = { - "endTime": times(suite_end), - "launchUuid": launch_id, - } - response = req(session.put, url, data) - - # Finish launch - url = f"https://{host}/api/v1/{project}/launch/{launch_id}/finish" - data = { - "endTime": times(end), - } - response = req(session.put, url, data) - - # Show where we have uploaded data - print(f"Created launch https://{host}/ui/#{project}/launches/all/{launch_id}") - - -def main(): - parser = argparse.ArgumentParser( - description="Manipulate jUnit file", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument( - "--file", - default=os.getenv("JUNIT_FILE", "junit.xml"), - help="jUnit file to work with (also use env variable JUNIT_FILE)", - ) - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - subparsers = parser.add_subparsers(dest="action", help="Select one of sub-commands") - - # Create the parser for the "print" command - subparsers.add_parser("print", help="Print content of the file") # noqa: F841 - - # Create the parser for the "result" command - subparsers.add_parser( - "result", help="Print overall result from the file" # noqa: F841 - ) - - # create the parser for the "add" command - parser_add = subparsers.add_parser("add", help="Add testcase into the file") - parser_add.add_argument("--name", required=True, help="Name of the testcase") - parser_add.add_argument( - "--result", - required=True, - choices=["PASS", "FAIL", "ERROR"], - help="Result of the testcase", - ) - parser_add.add_argument( - "--suite", required=True, help="Testsuite this testcase should be in" - ) - parser_add.add_argument( - "--out", - type=argparse.FileType("r"), - nargs="*", - default=[], - help="File with stdout of the testcase", - ) - parser_add.add_argument( - "--err", - type=argparse.FileType("r"), - nargs="*", - default=[], - help="File with stderr of the testcase", - ) - parser_add.add_argument("--message", help="Message when result is failure or error") - parser_add.add_argument( - "--start", - required=True, - type=date.my_fromisoformat, - help="Testcase start time in ISO 8601 format", - ) - parser_add.add_argument( - "--end", - required=True, - type=date.my_fromisoformat, - help="Testcase end time in ISO 8601 format", - ) - - # create the parser for the "ibutsu" command - parser_ibutsu = subparsers.add_parser( - "ibutsu-import", help="Import the file to Ibutsu" - ) - parser_ibutsu.add_argument("--host", required=True, help="Ibutsu host") - parser_ibutsu.add_argument("--token", required=True, help="Ibutsu token") - parser_ibutsu.add_argument("--project", required=True, help="Ibutsu project") - parser_ibutsu.add_argument( - "--noverify", - action="store_true", - help="When talking to Ibutsu ignore certificate verification failures", - ) - parser_ibutsu.add_argument( - "--metadata", - action="append", - help="Additional metadata to set when uploading, in the format of dotted.key.path=value", - ) - - # create the parser for the "upload" command - parser_add = subparsers.add_parser("upload", help="Upload the file to ReportPortal") - parser_add.add_argument("--host", required=True, help="ReportPortal host") - parser_add.add_argument( - "--noverify", - action="store_true", - help="When talking to ReportPortal ignore certificate verification failures", - ) - parser_add.add_argument("--project", required=True, help="ReportPortal project") - parser_add.add_argument("--token", required=True, help="ReportPortal token") - parser_add.add_argument( - "--launch", required=True, help="ReportPortal launch name to use when creating" - ) - parser_add.add_argument( - "--properties", - nargs="*", - default=[], - help="Launch property pairs in a name=value form, space separated, that will be added as ReportPortal attributes", - ) - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - logging.debug(f"Args: {args}") - - junit = JUnitXmlPlus.fromfile_or_new(args.file) - - if args.action == "print": - print(junit.get_info()) - elif args.action == "result": - print(junit.get_result()) - elif args.action == "add": - new = { - "name": args.name, - "result": args.result, - "system-out": args.out, - "system-err": args.err, - "message": args.message, - "start": args.start, - "end": args.end, - } - junit.add_to_suite(args.suite, new) - elif args.action == "upload": - junit.upload( - args.host, - not args.noverify, - args.project, - args.token, - args.launch, - args.properties, - ) - elif args.action == "ibutsu-import": - junit.ibutsu_upload( - args.host, - args.token, - args.project, - not args.noverify, - args.file, - args.metadata, - ) - else: - raise Exception("I do not know what to do") diff --git a/opl/pass_or_fail.py b/opl/pass_or_fail.py deleted file mode 100755 index 31c2813..0000000 --- a/opl/pass_or_fail.py +++ /dev/null @@ -1,249 +0,0 @@ -import argparse -import collections -import logging -import sys - -import opl.investigator.check -import opl.investigator.config -import opl.investigator.csv_decisions -import opl.investigator.csv_loader -import opl.investigator.elasticsearch_decisions -import opl.investigator.elasticsearch_loader -import opl.investigator.sd_dir_loader -import opl.investigator.status_data_loader - -import tabulate - - -STATUSES = { - 0: "PASS", - 1: "FAIL", - 2: "ERROR", -} - - -def get_stats(checks, key): - per_key = {} - for i in checks: - if i[key] not in per_key: - per_key[i[key]] = { - "PASS": 0, - "FAIL": 0, - "ERROR": 0, - } - per_key[i[key]][i["result"]] += 1 - - # Count score - for k, v in per_key.items(): - score = v["FAIL"] + 10 * v["ERROR"] if "ERROR" in v else 0 - v["SCORE"] = score - - # Reorder data structure for tabulate - per_key_tabulate = [] - for k, v in per_key.items(): - v["name"] = k - per_key_tabulate.append(v) - - # Sort by score - per_key_tabulate = sorted(per_key_tabulate, key=lambda i: i["SCORE"]) - - print( - f"\nStats by {key}:\n\n", - tabulate.tabulate( - per_key_tabulate, headers="keys", tablefmt="simple", floatfmt=".3f" - ), - ) - - -def doit(args): - opl.investigator.config.load_config(args, args.config) - - # Load current data - if args.current_type == "status_data": - current_sd = opl.investigator.status_data_loader.load(args.current_file) - else: - raise Exception("Not supported data source type for current data") - - # Render what needs to be rendered to finish config loading - opl.investigator.config.load_config_finish(args, current_sd) - - sets_list = [s['name'] for s in args.sets] - - # Load data items from current data - current = opl.investigator.status_data_loader.load_data(current_sd, sets_list) - - total = len([v for v in current.values() if v is not None and v != ""]) - if total == 0: - raise Exception( - f"No data available in current result (tried to load {', '.join(sets_list)} but nothing)!" - ) - - # Load historical data - if args.history_type == "csv": - history = opl.investigator.csv_loader.load(args.history_file, sets_list) - elif args.history_type == "elasticsearch": - if ( - hasattr(args, "history_es_server_verify") - and not args.history_es_server_verify - ): - # SSL verification is disabled by default - opl.http.insecure() - history = opl.investigator.elasticsearch_loader.load( - args.history_es_server, - args.history_es_index, - args.history_es_query, - sets_list, - es_server_user=getattr(args, "history_es_server_user", None), - es_server_pass_env_var=getattr( - args, "history_es_server_pass_env_var", None - ), - ) - - elif args.history_type == "sd_dir": - history = opl.investigator.sd_dir_loader.load( - args.history_dir, - args.history_matchers, - sets_list, - ) - else: - raise Exception("Not supported data source type for historical data") - - total = sum([len(v) for v in history.values()]) - if total == 0: - logging.info(f"Current result metrics: {current}") - logging.fatal("No data available in historical results!") - sys.exit(1) - - # Compute if current data matches historical data safe margins - exit_code = 0 - summary = [] - info_all = [] - for s in args.sets: - var = s["name"] - methods = s["methods"] - try: - results, info = opl.investigator.check.check( - methods, history[var], current[var], description=var - ) - except Exception as e: - logging.exception(f"Check on {var} failed with: {e}") - info_all.append({"result": "ERROR", "exception": str(e)}) - summary_this = collections.OrderedDict( - [("data set", var), ("exception", str(e))] - ) - exit_code = 2 - else: - info_all += info - result_overall = False not in results - summary_this = collections.OrderedDict() - summary_this["data set"] = var - summary_this.update({i["method"]: i["result"] for i in info}) - if exit_code == 0 and not result_overall: - exit_code = 1 - - summary.append(summary_this) - - if args.detailed_decisions: - # Only take headers common to all the rows - info_headers = list(info_all[0].keys()) - for i in info_all: - info_headers = [k for k in info_headers if k in i.keys()] - else: - info_headers = [ - "description", - "result", - "method", - "value", - "lower_boundary", - "upper_boundary", - "deviation", - ] - for i in info_all: - for k in list(i.keys()): - if k not in info_headers: - del i[k] - - info_headers_tabulate = dict( - zip(info_headers, info_headers) - ) # https://bitbucket.org/astanin/python-tabulate/issues/39/valueerror-headers-for-a-list-of-dicts-is - - print( - "\n", - tabulate.tabulate( - info_all, headers=info_headers_tabulate, tablefmt="simple", floatfmt=".3f" - ), - ) - print("\n", tabulate.tabulate(summary, headers="keys", tablefmt="simple")) - print(f"\nOverall status: {STATUSES[exit_code]}") - - if args.stats: - get_stats(info_all, "description") - get_stats(info_all, "method") - - if not args.dry_run: - if args.decisions_type == "elasticsearch": - if hasattr(args, "es_server_verify") and not args.es_server_verify: - # disable SSL verification - opl.http.insecure() - opl.investigator.elasticsearch_decisions.store( - args.decisions_es_server, - args.decisions_es_index, - info_all, - es_server_user=getattr(args, "decisions_es_server_user", None), - es_server_pass_env_var=getattr( - args, "decisions_es_server_pass_env_var", None - ), - ) - if args.decisions_type == "csv": - opl.investigator.csv_decisions.store(args.decisions_filename, info_all) - - if not args.dry_run: - if exit_code == 0: - result = "PASS" - elif exit_code == 1: - result = "FAIL" - else: - result = "ERROR" - logging.info(f"In {current_sd} setting result to {result}") - current_sd.set("result", result) - current_sd.save() - - return exit_code - - -def main(): - parser = argparse.ArgumentParser( - description="Given historical numerical data, determine if latest result is PASS or FAIL", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument( - "--config", - type=argparse.FileType("r"), - required=True, - help="Config file to use", - ) - parser.add_argument( - "--current-file", - type=argparse.FileType("r"), - help="Status data file with results to investigate. Overwrites current.file value from config file", - ) - parser.add_argument( - "--dry-run", - action="store_true", - help="Investigate result, but do not upload decisions. Meant for debugging", - ) - parser.add_argument( - "--detailed-decisions", - action="store_true", - help="When showing decisions, show all the details", - ) - parser.add_argument("--stats", action="store_true", help="Show statistics") - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - logging.debug(f"Args: {args}") - - sys.exit(doit(args)) diff --git a/opl/retry.py b/opl/retry.py deleted file mode 100644 index 00c747d..0000000 --- a/opl/retry.py +++ /dev/null @@ -1,43 +0,0 @@ -import logging -import time -from functools import wraps - - -def retry_on_traceback(max_attempts=10, wait_seconds=1): - """ - Retries a function until it succeeds or the maximum number of attempts - or wait time is reached. - - This is to mimic `@retry` decorator from Tenacity so we do not depend - on it. - - Args: - max_attempts: The maximum number of attempts to retry the function. - wait_seconds: The number of seconds to wait between retries. - - Returns: - A decorator that retries the wrapped function. - """ - assert max_attempts >= 0, "It does not make sense to have less than 0 retries" - assert wait_seconds >= 0, "It does not make sense to wait less than 0 seconds" - - def decorator(func): - @wraps(func) - def wrapper(*args, **kwargs): - attempt = 0 - while True: - try: - return func(*args, **kwargs) - except Exception as e: - if attempt >= max_attempts: - raise # Reraise the exception after all retries are exhausted - - attempt += 1 - logging.debug( - f"Retrying in {wait_seconds} seconds. Attempt {attempt}/{max_attempts} failed with: {e}" - ) - time.sleep(wait_seconds) - - return wrapper - - return decorator diff --git a/opl/rp_updater.py b/opl/rp_updater.py deleted file mode 100755 index 004da18..0000000 --- a/opl/rp_updater.py +++ /dev/null @@ -1,160 +0,0 @@ -import argparse -import logging - -import opl.http -import opl.status_data - -import tabulate - - -def _get_all_items(args): - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {args.rp_token}", - } - url = f"https://{args.rp_host}/api/v1/{args.rp_project}/item" - params = { - "filter.eq.launchId": args.rp_launch_id, - "page.size": 100, - "page.page": 1, - # 'page.sort': 'endTime,desc', - } - - items = [] - while True: - response = opl.http.get( - url, params=params, headers=headers, verify=not args.rp_noverify - ) - items += response["content"] - if len(response["content"]) == 0: - logging.debug(f"Page {params['page.page']} was last page of results") - break - params["page.page"] += 1 - logging.debug(f"Going to query for page {params['page.page']} of results") - - return items - - -def doit_list_tests(args): - items = _get_all_items(args) - - # Add suite name to tests - suites = {} - for i in items: - if i["type"] == "SUITE": - suites[i["id"]] = i - for i in items: - if i["type"] == "TEST": - i["parent_name"] = suites[i["parent"]]["name"] - - table = [ - ( - i["id"], - i["type"], - i["parent_name"] + "/" + i["name"], - i["status"], - i["statistics"]["defects"], - ) - for i in items - if i["type"] == "TEST" - ] - print(tabulate.tabulate(table, headers=("ID", "type", "name", "status", "defects"))) - - -def doit_change_defects(args): - changes = 0 - items = _get_all_items(args) - - defect_group = args.from_defect.split("/")[0] - defect_id = args.from_defect.split("/")[1] - defect_from = {defect_group: {"total": 1, defect_id: 1}} - - defect_to_id = args.to_defect.split("/")[1] - - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {args.rp_token}", - } - url = f"https://{args.rp_host}/api/v1/{args.rp_project}/item" - - for i in items: - if i["type"] != "TEST": - continue - - if i["statistics"]["defects"] != defect_from: - continue - - data = { - "issues": [ - { - "testItemId": i["id"], - "issue": { - "issueType": defect_to_id, - "comment": args.to_defect_comment, - }, - } - ] - } - - opl.http.put(url, headers=headers, data=data, verify=not args.rp_noverify) - changes += 1 - - print(f"Changed {changes} tests from {defect_id} to {defect_to_id}") - - -def main(): - parser = argparse.ArgumentParser( - description="Investigate and modify status data documents in ElasticSearch", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument("--rp-host", help="ReportPortal host") - parser.add_argument( - "--rp-noverify", - action="store_true", - help="When talking to ReportPortal ignore certificate verification failures", - ) - parser.add_argument("--rp-project", help="ReportPortal project") - parser.add_argument("--rp-token", help="ReportPortal token") - parser.add_argument("--rp-launch-id", help="ReportPortal launch ID") - - parser.add_argument( - "--dry-run", - action="store_true", - help="Do not actually change data, meant for debugging", - ) - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - - subparsers = parser.add_subparsers(dest="action", help="Select one of sub-commands") - - # create the parser for the "list_tests" command - subparsers.add_parser("list_tests", help="Print tests in given launch") - - # create the parser for the "change_defects" command - parser_change_defects = subparsers.add_parser( - "change_defects", help="Change defects in given launch" - ) - parser_change_defects.add_argument( - "--from-defect", help="Take these defects (e.g. to_investigate/ti001" - ) - parser_change_defects.add_argument( - "--to-defect", help="And change them to these defects (e.g. no_issue/ni001)" - ) - parser_change_defects.add_argument( - "--to-defect-comment", help="Comment to add to the test with changed defect" - ) - - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - opl.http.disable_insecure_request_warnings(args.rp_noverify) - - logging.debug(f"Args: {args}") - - if args.action == "list_tests": - return doit_list_tests(args) - elif args.action == "change_defects": - return doit_change_defects(args) - else: - raise Exception(f"Unknown action '{args.action}'") diff --git a/opl/shovel.py b/opl/shovel.py deleted file mode 100755 index 00e654f..0000000 --- a/opl/shovel.py +++ /dev/null @@ -1,1179 +0,0 @@ -#!/usr/bin/env python - -import argparse -import datetime -import logging -import requests -import json -import os -import re -import urllib3 -import urllib.parse - -from opl import skelet -from opl import retry - - -@retry.retry_on_traceback(max_attempts=10, wait_seconds=10) -def _requests_get_with_retry(*args, **kwargs): - return requests.get(*args, **kwargs) - - -def _check_response(logger, response): - """Check if requests response is OKish and if not, log useful data and raise exception.""" - try: - response.raise_for_status() - except Exception: - logger.error(f"Request failed with text: {response.text}") - raise - - -def _floor_datetime(obj): - """Floor datetime object to whole second.""" - return obj.replace(microsecond=0) - - -def _ceil_datetime(obj): - """Ceil datetime object to whole second.""" - if obj.microsecond > 0: - obj += datetime.timedelta(seconds=1) - return obj.replace(microsecond=0) - - -def _get_field_value(field, data): - """Return content of filed like foo.bar or .baz or so.""" - if field.startswith("."): - field = field[1:] - - value = None - for f in field.split("."): - if f == "": - continue # skip empty field created e.g. by leading dot - if value is None: - value = data[f] - else: - value = value[f] - - return value - - -def _set_field_value(field, value, data): - """Find field (in doted notation) in data (being changed in place) and set it to value.""" - if field.startswith("@"): - field = field[1:] - - for f in field.split(".")[:-1]: - if f not in data: - data[f] = {} - data = data[f] - - data[field.split(".")[-1]] = value - - -def _figure_out_option(option, data): - """Normalize option value for cases when it can come from data file. Checks for None.""" - if option.startswith("@"): - field = option[1:] - value = _get_field_value(field, data) - if value is None: - raise Exception(f"Can not load {field} in {option}") - else: - return value - else: - if option is None: - raise Exception("Some option was not provided") - else: - return option - - -class pluginBase: - def __init__(self): - self.logger = logging.getLogger(str(self.__class__)) - - def set_args(parser, subparsers): - pass - - -class pluginProw(pluginBase): - def list(self, args): - response = requests.get(f"{args.base_url}/{args.job_name}") - _check_response(self.logger, response) - - # Extract 19-digit numbers using regular expression - numbers = re.findall(r"\b[0-9]{19}\b", response.text) - - # Sort the numbers in numerical order and get the last 10 unique numbers - sorted_numbers = sorted(set(numbers), key=lambda x: int(x)) - last_10_numbers = sorted_numbers[-10:] - for n in last_10_numbers: - print(n) - - def download(self, args): - if os.path.isfile(args.output_path): - raise Exception( - f"File {args.output_path} already present, refusing to overwrite it" - ) - - from_url = f"{args.base_url}/{args.job_name}/{args.job_run_id}/artifacts/{args.run_name}/{args.artifact_path}" - logging.info(f"Downloading {from_url} to {args.output_path}") - response = requests.get(from_url) - _check_response(self.logger, response) - response_content = response.content - - if args.record_link is not None: - try: - data = response.json() - except requests.exceptions.JSONDecodeError: - self.logger.error( - "Failed to parse JSON, ignoring --record-link option" - ) - else: - _set_field_value(args.record_link, from_url, data) - response_content = str.encode( - json.dumps(data, sort_keys=True, indent=4) - ) - - with open(args.output_path, "wb") as f: - f.write(response_content) - - def set_args(self, parser, subparsers): - # Generic Prow options - parser.add_argument( - "--base-url", - default="https://gcsweb-ci.apps.ci.l2s4.p1.openshiftapps.com/gcs/test-platform-results/logs/", - help="Base URL of Prow exporter", - ) - parser.add_argument( - "--job-name", - default="periodic-ci-konflux-ci-e2e-tests-main-load-test-ci-daily-100u", - help="Job name as available in ci-operator/jobs/...", - ) - - # Options for listing Prow runs - parser_list = subparsers.add_parser( - "list", help="List runs for specific Prow job" - ) - parser_list.set_defaults(func=self.list) - - # Options for downloading artifacts from Prow - parser_download = subparsers.add_parser( - "download", help="Download file from Prow run artifacts" - ) - parser_download.set_defaults(func=self.download) - parser_download.add_argument( - "--job-run-id", - required=True, - help="Long run number identifier", - ) - parser_download.add_argument( - "--run-name", - default="load-test-ci-daily-100u", - help="Test name as configured in ci-operator/config/...", - ) - parser_download.add_argument( - "--artifact-path", - default="redhat-appstudio-load-test/artifacts/load-test.json", - help="Path to the artifact in artifacts/ directory", - ) - parser_download.add_argument( - "--output-path", - required=True, - help="Filename where to put downloaded artifact", - ) - parser_download.add_argument( - "--record-link", - help="Optional path in the downloaded JSON where to put download link", - ) - - -class pluginOpenSearch(pluginBase): - def upload(self, args): - self.logger.info(f"Loading document {args.input_file}") - with open(args.input_file, "r") as fp: - values = json.load(fp) - - if args.matcher_field.startswith("."): - args.matcher_field = args.matcher_field[1:] - self.logger.info(f"Looking for field {args.matcher_field}") - matcher_value = _get_field_value(args.matcher_field, values) - if matcher_value is None: - raise Exception( - f"Failed to load {args.matcher_field} from {args.input_file}" - ) - - self.logger.info( - f"Checking if document {args.matcher_field}={matcher_value} is already present" - ) - query = {"query": {"match": {f"{args.matcher_field}": matcher_value}}} - headers = {"Content-Type": "application/json"} - - current_doc_in_es = requests.post( - f"{args.base_url}/{args.index}/_search", - headers=headers, - json=query, - ) - _check_response(self.logger, current_doc_in_es) - current_doc_in_es = current_doc_in_es.json() - - if current_doc_in_es["hits"]["total"]["value"] > 0: - print( - f"Document {args.matcher_field}={matcher_value} is already present, skipping upload" - ) - return - - self.logger.info("Uploading document") - response = requests.post( - f"{args.base_url}/{args.index}/_doc", - headers=headers, - json=values, - ) - _check_response(self.logger, response) - print(f"Uploaded: {response.content}") - - def set_args(self, parser, subparsers): - parser.add_argument( - "--base-url", - default="http://elasticsearch.intlab.perf-infra.lab.eng.rdu2.redhat.com", - help="Base URL of OpenSearch server", - ) - parser.add_argument( - "--index", - default="rhtap_ci_status_data", - help="Index to talk to", - ) - - # Options for uploading document to OpenSearch - parser_upload = subparsers.add_parser( - "upload", help="Upload document to OpenSearch" - ) - parser_upload.set_defaults(func=self.upload) - parser_upload.add_argument( - "--input-file", - required=True, - help="JSON file to upload", - ) - parser_upload.add_argument( - "--matcher-field", - help="Document field which holds unique value identifying the document. Will be used for checking if data exists on the server, value will be taken from input file.", - ) - - -class pluginHorreum(pluginBase): - def _setup(self, args): - # FIXME - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - - self.headers = { - "Content-Type": "application/json", - "X-Horreum-API-Key": args.api_token, - } - - if "test_name" in args: - self.logger.debug(f"Getting test id for {args.test_name}") - response = _requests_get_with_retry( - f"{args.base_url}/api/test/byName/{args.test_name}", - headers=self.headers, - verify=False, - ) - _check_response(self.logger, response) - self.test_id = response.json()["id"] - - def upload(self, args): - self.logger.debug(f"Loading file {args.input_file}") - with open(args.input_file, "r") as fd: - self.input_file = json.load(fd) - - self.logger.info("Preparing all the options") - args.test_name = _figure_out_option(args.test_name, self.input_file) - args.start = datetime.datetime.fromisoformat( - _figure_out_option(args.start, self.input_file) - ) - args.end = datetime.datetime.fromisoformat( - _figure_out_option(args.end, self.input_file) - ) - - self._setup(args) - - self.logger.info(f"Looking for field {args.matcher_field}") - matcher_value = _get_field_value(args.matcher_field, self.input_file) - if matcher_value is None: - raise Exception( - f"Failed to load {args.matcher_field} from {args.input_file}" - ) - - self.logger.debug( - f"Searching if result {args.matcher_label}={matcher_value} is already there" - ) - filter_data = {args.matcher_label: matcher_value} - response = _requests_get_with_retry( - f"{args.base_url}/api/dataset/list/byTest/{self.test_id}", - headers=self.headers, - params={"filter": json.dumps(filter_data)}, - verify=False, - ) - _check_response(self.logger, response) - datasets = response.json().get("datasets", []) - if len(datasets) > 0: - print( - f"Result {args.matcher_label}={matcher_value} is already there, skipping upload" - ) - return - - if args.trashed: - self.logger.debug( - "WORKAROUND: Searching if result already there amongst trashed runs" - ) - params = { - "trashed": True, - "limit": args.trashed_workaround_count, - "page": 1, - "sort": "start", - "direction": "Descending", - } - response = _requests_get_with_retry( - f"{args.base_url}/api/run/list/{self.test_id}", - headers=self.headers, - params=params, - verify=False, - ) - _check_response(self.logger, response) - runs = response.json().get("runs", []) - - for run in runs: - # Un-trashed runs were examined already, so we can skipp these - if run["trashed"] is False: - continue - - response = _requests_get_with_retry( - f"{args.base_url}/api/run/{run['id']}/data", - headers=self.headers, - verify=False, - ) - _check_response(self.logger, response) - run_data = response.json() - try: - marker = _get_field_value(args.matcher_field, run_data) - except KeyError: - pass # If matcher was not found in data, we can assume this is not a duplicate - else: - if marker == matcher_value: - print( - f"Result {args.matcher_field}={matcher_value} is trashed, but already there, skipping upload" - ) - return - - logging.info("Uploading") - params = { - "test": args.test_name, - "start": args.start.strftime("%Y-%m-%dT%H:%M:%SZ"), - "stop": args.end.strftime("%Y-%m-%dT%H:%M:%SZ"), - "owner": args.owner, - "access": args.access, - } - response = requests.post( - f"{args.base_url}/api/run/data", - params=params, - headers=self.headers, - data=json.dumps(self.input_file), - verify=False, - ) - _check_response(self.logger, response) - - print(f"Uploaded {args.input_file}: {response.content}") - - def result(self, args): - self.logger.debug(f"Loading file {args.output_file}") - with open(args.output_file, "r") as fd: - self.output_file = json.load(fd) - - self.logger.info("Preparing all the options") - args.test_name = _figure_out_option(args.test_name, self.output_file) - args.start = datetime.datetime.fromisoformat( - _figure_out_option(args.start, self.output_file) - ).astimezone(tz=datetime.timezone.utc) - args.end = datetime.datetime.fromisoformat( - _figure_out_option(args.end, self.output_file) - ).astimezone(tz=datetime.timezone.utc) - - self._setup(args) - - self.logger.debug(f"Loading list of alerting variables for test {self.test_id}") - response = _requests_get_with_retry( - f"{args.base_url}/api/alerting/variables", - params={"test": self.test_id}, - verify=False, - ) - _check_response(self.logger, response) - alerting_variables = response.json() - - start = _floor_datetime(args.start) - end = _ceil_datetime(args.end) - start_str = start.strftime("%Y-%m-%dT%H:%M:%SZ") - end_str = end.strftime("%Y-%m-%dT%H:%M:%SZ") - - change_detected = False - for alerting_variable in alerting_variables: - self.logger.debug( - f"Getting changes for alerting variable {alerting_variable}" - ) - - range_data = { - "range": { - "from": start_str, - "to": end_str, - "oneBeforeAndAfter": True, - }, - "annotation": {"query": alerting_variable["id"]}, - } - response = requests.post( - f"{args.base_url}/api/changes/annotations", - headers=self.headers, - json=range_data, - verify=False, - ) - _check_response(self.logger, response) - response = response.json() - - # Check if the result is not an empty list - if len(response) > 0: - self.logger.info( - f"For {alerting_variable['name']} detected change {response}" - ) - change_detected = True - break - else: - self.logger.info(f"For {alerting_variable['name']} all looks good") - - result = "FAIL" if change_detected else "PASS" - - if args.output_file is None: - print(f"Result is {result}") - return - - self.output_file["result"] = result - - print(f"Writing result to {args.output_file}: {self.output_file['result']}") - with open(args.output_file, "w") as fd: - json.dump(self.output_file, fd, sort_keys=True, indent=4) - - def list(self, args): - self._setup(args) - - params = { - "trashed": False, - "limit": 100, - "page": 1, - } - - self.logger.debug(f"Listing results for test {args.test_name}") - while True: - response = _requests_get_with_retry( - f"{args.base_url}/api/run/list/{self.test_id}", - headers=self.headers, - params=params, - verify=False, - ) - _check_response(self.logger, response) - - runs = response.json().get("runs", []) - if len(runs) == 0: - break - - for i in runs: - print(i["id"]) - - params["page"] += 1 - - def get(self, args): - self._setup(args) - - self.logger.debug(f"Geting data for run {args.run_id}") - response = _requests_get_with_retry( - f"{args.base_url}/api/run/{args.run_id}/data", - headers=self.headers, - verify=False, - ) - _check_response(self.logger, response) - data = response.json() - print(json.dumps(data)) - - def _schema_uri_to_id(self, base_url, schema_uri): - self.logger.debug(f"Geting schema ID for URI {schema_uri}") - response = _requests_get_with_retry( - f"{base_url}/api/schema/idByUri/{schema_uri}", - headers=self.headers, - verify=False, - ) - _check_response(self.logger, response) - schema_id = int(response.json()) - self.logger.debug(f"Schema ID for URI {schema_uri} is {schema_id}") - return schema_id - - def _sanitize_string(self, input_string): - return re.sub(r"[^a-zA-Z0-9]", "_", input_string) - - def _schema_id_labels(self, args, schema_id): - self.logger.debug(f"Getting list of labels for schema ID {schema_id}") - response = _requests_get_with_retry( - f"{args.base_url}/api/schema/{schema_id}/labels", - headers=self.headers, - verify=False, - ) - _check_response(self.logger, response) - data = response.json() - self.logger.debug(f"Obtained {len(data)} labels for schema ID {schema_id}") - - return data - - def schema_label_list(self, args): - self._setup(args) - - schema_id = self._schema_uri_to_id(args.base_url, args.schema_uri) - - labels = self._schema_id_labels(args, schema_id) - - for label in labels: - print(f"{label['id']}\t{label['name']}\t{label['extractors'][0]['jsonpath']}") - - def schema_label_add(self, args): - self._setup(args) - - schema_id = self._schema_uri_to_id(args.base_url, args.schema_uri) - - new_name = ( - self._sanitize_string(args.extractor_jsonpath) - if args.name is None - else args.name - ) - new_ext_name = ( - self._sanitize_string(args.extractor_jsonpath) - if args.extractor_name is None - else args.extractor_name - ) - new = { - "access": args.access, - "owner": args.owner, - "name": new_name, - "extractors": [ - { - "name": new_ext_name, - "jsonpath": args.extractor_jsonpath, - "isarray": args.extractor_isarray, - }, - ], - "function": args.function, - "filtering": args.filtering, - "metrics": args.metrics, - "schemaId": schema_id, - } - - self.logger.debug(f"Adding label to schema id {schema_id}: {new}") - response = requests.post( - f"{args.base_url}/api/schema/{schema_id}/labels", - headers=self.headers, - verify=False, - json=new, - ) - _check_response(self.logger, response) - label_id = int(response.json()) - self.logger.debug(f"Created label ID {label_id} in schema ID {schema_id}") - - def schema_label_update(self, args): - self._setup(args) - - schema_id = self._schema_uri_to_id(args.base_url, args.schema_uri) - - new_name = ( - self._sanitize_string(args.extractor_jsonpath) - if args.name is None - else args.name - ) - new_ext_name = ( - self._sanitize_string(args.extractor_jsonpath) - if args.extractor_name is None - else args.extractor_name - ) - new = { - "access": args.access, - "owner": args.owner, - "name": new_name, - "extractors": [ - { - "name": new_ext_name, - "jsonpath": args.extractor_jsonpath, - "isarray": args.extractor_isarray, - }, - ], - "function": args.function, - "filtering": args.filtering, - "metrics": args.metrics, - "schemaId": schema_id, - } - - # Account options that allow updating existing label - if args.update_by_id is not None or args.update_by_name is not None: - labels = self._schema_id_labels(args, schema_id) - - if args.update_by_id is not None: - label = next((item for item in labels if item["id"] == args.update_by_id), False) - - if label: - # Label with provided id found, lets update it - new["id"] = args.update_by_id - else: - # Label not found - raise KeyError(f"Failed to find label with id {args.update_by_id}") - - elif args.update_by_name is not None: - label = next((item for item in labels if item["name"] == new_name), False) - - if label: - # Label with provided name found, lets update it - new["id"] = label["id"] - else: - # Label not found, shall we fail now? - if args.add_if_missing: - self.logger.warning(f"Label with name {new_name} not found, so adding new one with new ID") - return self.schema_label_add(args) - else: - raise KeyError(f"Failed to find label with name {new_name}") - else: - raise Exception("Either --update-by-id or --update-by-name have to be used") - - if new == label: - self.logger.info(f"Proposed and current label {label['id']} in schema ID {schema_id} are same, nothing to change") - else: - self.logger.debug(f"Updating label in schema id {schema_id}: {new}") - response = requests.put( - f"{args.base_url}/api/schema/{schema_id}/labels", - headers=self.headers, - verify=False, - json=new, - ) - _check_response(self.logger, response) - label_id = int(response.json()) - self.logger.info(f"Updated label ID {label_id} in schema ID {schema_id}") - - def schema_label_delete(self, args): - self._setup(args) - - schema_id = self._schema_uri_to_id(args.base_url, args.schema_uri) - - self.logger.debug(f"Deleting label ID {args.id} from schema ID {schema_id}") - response = requests.delete( - f"{args.base_url}/api/schema/{schema_id}/labels/{args.id}", - headers=self.headers, - verify=False, - ) - _check_response(self.logger, response) - self.logger.debug(f"Deleted label ID {args.id} in schema ID {schema_id}") - - def set_args(self, parser, subparsers): - parser.add_argument( - "--base-url", - default="https://horreum.corp.redhat.com", - help="Base URL of Horreum server", - ) - parser.add_argument( - "--api-token", - required=True, - help="Horreum API token", - ) - - # Options for uploading document to Horreum - subparser = subparsers.add_parser( - "upload", help="Upload file to Horreum if it is not there already" - ) - subparser.set_defaults(func=self.upload) - subparser.add_argument( - "--test-name", - default="load-tests-result", - help="Test name as configured in Horreum, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - subparser.add_argument( - "--input-file", - required=True, - help="JSON file to upload", - ) - subparser.add_argument( - "--matcher-field", - default="runid", - help="JSON file field which holds unique value identifying the document. Will be used for checking if data exists on the server, value will be taken from input file.", - ) - subparser.add_argument( - "--matcher-label", - default=".runid", - help="Label name in Horreum with unique value we use to detect if document is already in Horreum", - ) - subparser.add_argument( - "--owner", - default="rhtap-perf-test-team", - help="Who should be owner of uploaded file in Horreum", - ) - subparser.add_argument( - "--access", - default="PUBLIC", - help="What should be access setting of uploaded file in Horreum", - ) - subparser.add_argument( - "--start", - help="When the test whose JSON file we are uploading started, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - subparser.add_argument( - "--end", - help="When the test whose JSON file we are uploading ended, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - subparser.add_argument( - "--trashed", - action="store_true", - help="Use this if you want to check for presence of a result even amongst trashed runs", - ) - subparser.add_argument( - "--trashed-workaround-count", - default=10, - help="When listing runs (including trashed ones) sorted in descending order, only check this many", - ) - - # Options for detecting no-/change signal - subparser = subparsers.add_parser( - "result", help="Get Horreum no-/change signal for a given time range" - ) - subparser.set_defaults(func=self.result) - subparser.add_argument( - "--test-name", - default="load-tests-result", - help="Test name as configured in Horreum, if prefixed with '@' sign, it is a field name from output file where to load this", - ) - subparser.add_argument( - "--start", - help="Start of the interval for detecting change (ISO 8601 format)", - ) - subparser.add_argument( - "--end", - help="End of the interval for detecting change (ISO 8601 format)", - ) - subparser.add_argument( - "--output-file", - help="If specified, put result into .result of this JSON file", - ) - - # Options for listing results - subparser = subparsers.add_parser( - "list", help="List test run IDs for a test" - ) - subparser.set_defaults(func=self.list) - subparser.add_argument( - "--test-name", - default="load-tests-result", - help="Test name as configured in Horreum", - ) - - # Options for getting full result - subparser = subparsers.add_parser("get", help="Get data for test run ID") - subparser.set_defaults(func=self.get) - subparser.add_argument( - "--run-id", - type=int, - required=True, - help="Test run ID", - ) - - # Options for listing schema labels - subparser = subparsers.add_parser( - "schema-label-list", help="List schema labels" - ) - subparser.set_defaults(func=self.schema_label_list) - subparser.add_argument( - "--schema-uri", - type=str, - required=True, - help="Schema URI identifier (e.g. 'uri:my-schema:0.1')", - ) - - # Options for adding schema label - subparser = subparsers.add_parser( - "schema-label-add", help="Add schema label" - ) - subparser.set_defaults(func=self.schema_label_add) - subparser.add_argument( - "--schema-uri", - type=str, - required=True, - help="Schema URI identifier (e.g. 'uri:my-schema:0.1')", - ) - subparser.add_argument( - "--name", - type=str, - help="Label name. Keep empty and it will de derived from JSON path.", - ) - subparser.add_argument( - "--extractor-name", - type=str, - help="Extractor name. Keep empty and it will de derived from JSON path. Only one extractor allowed now, support for more is TODO.", - ) - subparser.add_argument( - "--extractor-jsonpath", - type=str, - required=True, - help="Extractor JSON path expression. Only one extractor allowed now, support for more is TODO.", - ) - subparser.add_argument( - "--extractor-isarray", - type=bool, - default=False, - help="If extractor refferencing an array? Defaults to false. Only one extractor allowed now, support for more is TODO.", - ) - subparser.add_argument( - "--function", - type=str, - default="", - help="Combination function for the label. Defaults to empty one.", - ) - subparser.add_argument( - "--filtering", - action="store_true", - help="Is label a filtering label? Defaults to false.", - ) - subparser.add_argument( - "--metrics", - action="store_true", - help="Is label a metrics label? Defaults to false.", - ) - subparser.add_argument( - "--access", - choices=["PUBLIC", "PROTECTED", "PRIVATE"], - default="PUBLIC", - help="Access rights for the test. Defaults to 'PUBLIC'.", - ) - subparser.add_argument( - "--owner", - type=str, - required=True, - help="Name of the team that owns the test.", - ) - - # Options for updating schema label - subparser = subparsers.add_parser( - "schema-label-update", help="Update schema label" - ) - subparser.set_defaults(func=self.schema_label_update) - subparser.add_argument( - "--schema-uri", - type=str, - required=True, - help="Schema URI identifier (e.g. 'uri:my-schema:0.1')", - ) - subparser.add_argument( - "--update-by-id", - type=int, - help="Label ID of label you want to update. Only set if you want to update existing label.", - ) - subparser.add_argument( - "--update-by-name", - action="store_true", - help="Label name of label you want to update. Only set if you want to update existing label.", - ) - subparser.add_argument( - "--add-if-missing", - action="store_true", - help="If updating (e.g. by name) and the target label is missing, attempt to create it.", - ) - subparser.add_argument( - "--name", - type=str, - help="Label name. Keep empty and it will de derived from JSON path.", - ) - subparser.add_argument( - "--extractor-name", - type=str, - help="Extractor name. Keep empty and it will de derived from JSON path. Only one extractor allowed now, support for more is TODO.", - ) - subparser.add_argument( - "--extractor-jsonpath", - type=str, - required=True, - help="Extractor JSON path expression. Only one extractor allowed now, support for more is TODO.", - ) - subparser.add_argument( - "--extractor-isarray", - type=bool, - default=False, - help="If extractor refferencing an array? Defaults to false. Only one extractor allowed now, support for more is TODO.", - ) - subparser.add_argument( - "--function", - type=str, - default="", - help="Combination function for the label. Defaults to empty one.", - ) - subparser.add_argument( - "--filtering", - action="store_true", - help="Is label a filtering label? Defaults to false.", - ) - subparser.add_argument( - "--metrics", - action="store_true", - help="Is label a metrics label? Defaults to false.", - ) - subparser.add_argument( - "--access", - choices=["PUBLIC", "PROTECTED", "PRIVATE"], - default="PUBLIC", - help="Access rights for the test. Defaults to 'PUBLIC'.", - ) - subparser.add_argument( - "--owner", - type=str, - required=True, - help="Name of the team that owns the test.", - ) - - # Options for deleting schema label - subparser = subparsers.add_parser( - "schema-label-delete", help="Delete schema label" - ) - subparser.set_defaults(func=self.schema_label_delete) - subparser.add_argument( - "--schema-uri", - type=str, - required=True, - help="Schema URI identifier (e.g. 'uri:my-schema:0.1')", - ) - subparser.add_argument( - "--id", - type=int, - required=True, - help="Label ID of label you want to delete", - ) - - -class pluginResultsDashboard(pluginBase): - def upload(self, args): - self.input_file = None - if args.input_file is not None: - self.logger.info(f"Loading input file {args.input_file}") - with open(args.input_file, "r") as fd: - self.input_file = json.load(fd) - - self.logger.info("Preparing all the options") - args.date = datetime.datetime.fromisoformat( - _figure_out_option(args.date, self.input_file) - ) - args.group = _figure_out_option(args.group, self.input_file) - args.link = _figure_out_option(args.link, self.input_file) - args.product = _figure_out_option(args.product, self.input_file) - args.release = _figure_out_option(args.release, self.input_file) - args.result = _figure_out_option(args.result, self.input_file) - args.result_id = _figure_out_option(args.result_id, self.input_file) - args.test = _figure_out_option(args.test, self.input_file) - args.version = _figure_out_option(args.version, self.input_file) - - self.logger.info( - f"Checking if result with test={args.test} and result_id={args.result_id} is already there" - ) - json_data = json.dumps( - { - "query": { - "bool": { - "filter": [ - {"term": {"test.keyword": args.test}}, - {"term": {"result_id.keyword": args.result_id}}, - ] - } - } - } - ) - headers = {"Content-Type": "application/json"} - current_doc_in_es = requests.get( - f"{args.base_url}/{args.index}/_search", - headers=headers, - data=json_data, - ) - _check_response(self.logger, current_doc_in_es) - current_doc_in_es = current_doc_in_es.json() - - if current_doc_in_es["hits"]["total"]["value"] > 0: - print( - f"Result test={args.test} and result_id={args.result_id} already there, skipping upload" - ) - return - - logging.info("Uploading result to Results Dashboard") - - upload_data = { - "date": args.date.isoformat(), - "group": args.group, - "link": args.link, - "product": args.product, - "release": args.release, - "result": args.result, - "result_id": args.result_id, - "test": args.test, - "version": args.version, - } - response = requests.post( - f"{args.base_url}/{args.index}/_doc", - headers=headers, - json=upload_data, - ) - _check_response(self.logger, response) - - print(f"Uploaded: {response.content}") - - def set_args(self, parser, subparsers): - parser.add_argument( - "--base-url", - default="http://elasticsearch.intlab.perf-infra.lab.eng.rdu2.redhat.com", - help="Results Dashboard backend url", - ) - parser.add_argument( - "--index", - default="results-dashboard-data", - help="Results Dashboard index where the results are stored", - ) - - # Options for uploading document to Results Dashboard - parser_upload = subparsers.add_parser( - "upload", - help="Upload result to Results Dashboard if it is not there already", - ) - parser_upload.set_defaults(func=self.upload) - parser_upload.add_argument( - "--test", - required=True, - help="Name of the CPT test, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--result-id", - required=True, - help="Test run identifier, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--result", - required=True, - help="Result of the test (choose from: TODO), if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--date", - required=True, - help="When the test ran (ISO 8601 format), if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--link", - required=True, - help="Link to more details, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--group", - required=True, - help="Name of the group where the product belongs, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--product", - required=True, - help="Name of the product, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--release", - default="latest", - help="Release or version stream this result belongst to (this is a way how to group results for multiple versions), if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--version", - default="1", - help="Version of the product on which the test ran, if prefixed with '@' sign, it is a field name from input file where to load this", - ) - parser_upload.add_argument( - "--input-file", - help="If you want to load some values from file, this is the file to specify", - ) - - -class pluginHtml(pluginBase): - def links(self, args): - self.logger.info("Downloading {args.url}") - doc = requests.get(args.url) - - # Regular expression to find all href attributes within tags - # Cheatsheet: - # (?: ... ): Non-capturing group. It groups the pattern inside, but - # doesn't store the matched text as a separate capture group. - # [^>]*?: Matches anything except '>' zero or more times. The '?' - # makes it a non-greedy match so we do not consume href as well. - href_regex = r']*?\s+)?href=["\']([^"\']*)["\']' - matched_hrefs = re.findall(href_regex, doc.text, re.IGNORECASE) - self.logger.info(f"Found {len(matched_hrefs)} links") - - # Filter links down as per user provided expression - compiled_regex = re.compile(args.regexp) - filtered_hrefs = [href for href in matched_hrefs if compiled_regex.match(href)] - self.logger.info(f"Filtered links down to {len(filtered_hrefs)} links") - - # Make all the links absolute to initial user provided URL. - # If there is already absolute link like 'http://www.example.com', - # it will not be affected - absolute_hrefs = [urllib.parse.urljoin(args.url, href) for href in filtered_hrefs] - - # Print what we found - for href in absolute_hrefs: - print(href) - - return absolute_hrefs - - def set_args(self, parser, subparsers): - # Options for listing links from the document - parser_links = subparsers.add_parser( - "links", - help="List links from given HTML document (e.g. httpd directory listing)", - ) - parser_links.set_defaults(func=self.links) - parser_links.add_argument( - "--url", - required=True, - help="HTML document to parse links from", - ) - parser_links.add_argument( - "--regexp", - default=r".*", - help="Only return links matching this regexp (defaults to '.*')", - ) - - -PLUGINS = { - "prow": pluginProw(), - "opensearch": pluginOpenSearch(), - "horreum": pluginHorreum(), - "resultsdashboard": pluginResultsDashboard(), - "html": pluginHtml(), -} - - -def main(): - parser = argparse.ArgumentParser( - description="Shovel data from A to B", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - subparsers = parser.add_subparsers( - dest="plugin_name", - help="sub-command help", - required=True, - ) - for name, plugin in PLUGINS.items(): - parser_plugin = subparsers.add_parser( - name, - help=f"Work with {name}", - ) - subparsers_plugin = parser_plugin.add_subparsers( - dest="plugin_command", - help="sub-command help", - required=True, - ) - plugin.set_args(parser_plugin, subparsers_plugin) - - with skelet.test_setup(parser) as (args, status_data): - args.func(args) - - -if __name__ == "__main__": - main() diff --git a/opl/skelet.py b/opl/skelet.py deleted file mode 100644 index f83700c..0000000 --- a/opl/skelet.py +++ /dev/null @@ -1,87 +0,0 @@ -import logging -import logging.handlers -import os -import time -from contextlib import contextmanager - -from . import status_data - - -def setup_logger(app_name, stderr_log_lvl): - """ - Create logger that logs to both stderr and log file but with different log levels - """ - # Remove all handlers from root logger if any - logging.basicConfig( - level=logging.NOTSET, handlers=[] - ) # `force=True` was added in Python 3.8 :-( - # Change root logger level from WARNING (default) to NOTSET in order for all messages to be delegated - logging.getLogger().setLevel(logging.NOTSET) - - # Log message format - formatter = logging.Formatter( - "%(asctime)s %(name)s %(threadName)s %(levelname)s %(message)s" - ) - formatter.converter = time.gmtime - - # Silence loggers of some chatty libraries we use - urllib_logger = logging.getLogger("urllib3.connectionpool") - urllib_logger.setLevel(logging.WARNING) - selenium_logger = logging.getLogger("selenium.webdriver.remote.remote_connection") - selenium_logger.setLevel(logging.WARNING) - kafka_logger = logging.getLogger("kafka") - kafka_logger.setLevel(logging.WARNING) - - # Add stderr handler, with provided level - console_handler = logging.StreamHandler() - console_handler.setFormatter(formatter) - console_handler.setLevel(stderr_log_lvl) - logging.getLogger().addHandler(console_handler) - - # Add file rotating handler, with level DEBUG - rotating_handler = logging.handlers.RotatingFileHandler( - filename=f"/tmp/{app_name}.log", maxBytes=100 * 1000, backupCount=2 - ) - rotating_handler.setFormatter(formatter) - rotating_handler.setLevel(logging.DEBUG) - logging.getLogger().addHandler(rotating_handler) - - return logging.getLogger(app_name) - - -@contextmanager -def test_setup(parser, logger_name="root"): - parser.add_argument( - "--status-data-file", - default=os.getenv("STATUS_DATA_FILE", "/tmp/status-data.json"), - help='File where we maintain metadata, results, parameters and measurements for this test run (also use env variable STATUS_DATA_FILE, default to "/tmp/status-data.json")', - ) - parser.add_argument( - "-v", - "--verbose", - action="store_true", - help="Show verbose output", - ) - parser.add_argument( - "-d", - "--debug", - action="store_true", - help="Show debug output", - ) - args = parser.parse_args() - - if args.debug: - logger = setup_logger(logger_name, logging.DEBUG) - elif args.verbose: - logger = setup_logger(logger_name, logging.INFO) - else: - logger = setup_logger(logger_name, logging.WARNING) - - logger.debug(f"Args: {args}") - - sdata = status_data.StatusData(args.status_data_file) - - try: - yield (args, sdata) - finally: - sdata.save() diff --git a/opl/status_data.py b/opl/status_data.py deleted file mode 100755 index 102450d..0000000 --- a/opl/status_data.py +++ /dev/null @@ -1,576 +0,0 @@ -import argparse -import copy -import datetime -import json -import logging -import os -import os.path -import pprint -import tempfile - -import deepdiff - -import jinja2 - -import requests - -import tabulate - -import yaml - -from . import cluster_read -from . import date -from . import skelet - - -class StatusData: - def __init__(self, filename, data=None): - self.filename = filename - if filename.startswith("http://") or filename.startswith("https://"): - tmp = tempfile.mktemp() - logging.info( - f"Downloading {filename} to {tmp} and will work with that file from now on" - ) - r = requests.get(filename, verify=False) - with open(tmp, "wb") as fp: - fp.write(r.content) - filename = tmp - - self._filename = filename - self._filename_mtime = None - if data is None: - self.load() - else: - self._data = data - assert "name" in data - assert "started" in data - assert "ended" in data - assert "result" in data - - def load(self): - try: - self._filename_mtime = os.path.getmtime(self._filename) - with open(self._filename, "r") as fp: - self._data = json.load(fp) - logging.debug(f"Loaded status data from {self._filename}") - except FileNotFoundError: - self.clear() - logging.info(f"Opening empty status data file {self._filename}") - - def __getitem__(self, key): - logging.debug(f"Getting item {key} from {self._filename}") - return self._data.get(key, None) - - def __setitem__(self, key, value): - logging.debug(f"Setting item {key} from {self._filename}") - self._data[key] = value - - def __repr__(self): - return f"" - - def __eq__(self, other): - return self._data == other._data - - def __gt__(self, other): - logging.info(f"Comparing {self} to {other}") - return self.get_date("started") > other.get_date("started") - - def _split_mutlikey(self, multikey): - """ - Dots delimits path in the nested dict. - """ - if multikey == "": - return [] - elif multikey.startswith("."): - return multikey[1:].split(".") - else: - return multikey.split(".") - - def _get(self, data, split_key): - if split_key == []: - return data - - if not isinstance(data, dict): - logging.warning( - "Attempted to dive into non-dict. Falling back to return None" - ) - return None - - try: - new_data = data[split_key[0]] - except KeyError: - return None - - if len(split_key) == 1: - return new_data - else: - return self._get(new_data, split_key[1:]) - - def get(self, multikey): - """ - Recursively go through status_data data structure according to - multikey and return its value, or None. For example: - - For example: - - get(('a', 'b', 'c')) - - returns: - - self._data['a']['b']['c'] - - and if say `data['a']['b']` does not exist (or any other key along - the way), return None. - """ - split_key = self._split_mutlikey(multikey) - logging.debug(f"Getting {split_key} from {self._filename}") - return self._get(self._data, split_key) - - def get_date(self, multikey): - i = self.get(multikey) - if i is None: - logging.warning(f"Field {multikey} is None, so can not convert to datetime") - return None - return date.my_fromisoformat(i) - - def _set(self, data, split_key, value): - current_key = split_key[0] - last_key = len(split_key) == 1 - array_key = current_key.endswith("[]") - if array_key: - current_key = current_key[:-2] - missing_key = current_key not in data - - # Check that array key is only used if this is last sub-key - if array_key: - assert last_key, "Arrays can only be last in the multi keys (i.e. 'aaa.bbb[]', but not 'aaa[]'.bbb)" - - # Check that we are not attempting to change type of already existing key - if array_key and not missing_key: - assert type(data[current_key]) == list, "You are trying to change type (e.g. 'aaa' was string and now you are trying to add to 'aaa[]')" - - if missing_key: - if last_key: - if array_key: - data[current_key] = [value] - else: - data[current_key] = value - return # This was last key, we are done - else: - data[current_key] = {} # This is not last key, so it can not be array - return self._set(data[current_key], split_key[1:], value) - else: - if last_key: - if array_key: - data[current_key].append(value) - else: - data[current_key] = value - return # This was last key, we are done - else: - return self._set(data[current_key], split_key[1:], value) # This is not last key, so no need to check for array - - def set(self, multikey, value): - """ - Recursively go through status_data data structure and set value for - multikey. For example: - - set('a.b.c', 123) - - set: - - self._data['a']['b']['c'] = 123 - - even if `self._data['a']['b']` do not exists - then it is created as - empty dict. - - It also supports adding data to lists: - - set('a.b[]', 1) - set('a.b[]', 2) - - results in: - - self._data['a']['b'] = [1, 2] - """ - split_key = self._split_mutlikey(multikey) - logging.debug(f"Setting {'.'.join(split_key)} in {self._filename} to {value}") - if isinstance(value, datetime.datetime): - value = value.isoformat() # make it a string with propper format - self._set(self._data, split_key, copy.deepcopy(value)) - - def set_now(self, multikey): - """ - Set given multikey to current datetime - """ - now = date.get_now() - return self.set(multikey, now.isoformat()) - - def set_subtree_json(self, multikey, file_path): - """ - Set given multikey to contents of JSON formated file provided by its path - """ - with open(file_path, "r") as fp: - if file_path.endswith(".json"): - data = json.load(fp) - elif file_path.endswith(".yaml"): - data = yaml.load(fp, Loader=yaml.SafeLoader) - else: - raise Exception( - f"Unrecognized extension of file to import: {file_path}" - ) - return self.set(multikey, data) - - def _remove(self, data, split_key): - try: - new_data = data[split_key[0]] - except KeyError: - return - - if len(split_key) == 1: - del data[split_key[0]] - return - else: - return self._remove(new_data, split_key[1:]) - - def remove(self, multikey): - """ - Remove given multikey (and it's content) from status data file - """ - split_key = self._split_mutlikey(multikey) - logging.debug(f"Removing {split_key} from {self._filename}") - self._remove(self._data, split_key) - - def list(self, multikey): - """ - For given path, return list of all existing paths below this one - """ - out = [] - split_key = self._split_mutlikey(multikey) - logging.debug(f"Listing {split_key}") - for k, v in self._get(self._data, split_key).items(): - key = ".".join(list(split_key) + [k]) - if isinstance(v, dict): - out += self.list(key) - else: - out.append(key) - return out - - def clear(self): - """ - Default structure - """ - self._data = { - "name": None, - "started": date.get_now_str(), - "ended": None, - "owner": None, - "result": None, - "results": {}, - "parameters": {}, - "measurements": {}, - } - - def info(self): - out = "" - out += f"Filename: {self._filename}\n" - for k, v in self._data.items(): - if not isinstance(v, dict): - out += f"{k}: {v}\n" - return out - - def dump(self): - return self._data - - def save(self, filename=None): - """Save this status data document. - - It makes sure that on disk file was not modified since we loaded it, - but if you provide a filename, this check is skipped. - """ - if filename is None: - if self._filename_mtime is not None: - current_mtime = os.path.getmtime(self._filename) - if self._filename_mtime != current_mtime: - tmp = tempfile.mktemp() - self._save(tmp) - raise Exception( - f"Status data file {self._filename} was modified since we loaded it so I do not want to overwrite it. Instead, saved to {tmp}" - ) - else: - self._filename = filename - - self._save(self._filename) - - def _save(self, filename): - """Just save status data document to JSON file on disk""" - with open(filename, "w+") as fp: - json.dump(self.dump(), fp, sort_keys=True, indent=4) - if filename == self._filename: - self._filename_mtime = os.path.getmtime(filename) - logging.debug(f"Saved status data to {filename}") - - -def doit_set(status_data, set_this): - for item in set_this: - if item == "": - logging.warning("Got empty key=value pair to set - ignoring it") - continue - - key, value = item.split("=") - - if len(value) >= 2 and value[0] == '"' and value[-1] == '"': - value = value[1:-1] - - if value == "%NOW%": - value = date.get_now_str() - else: - try: - value = int(value) - except ValueError: - try: - value = float(value) - except ValueError: - pass - - logging.debug(f"Setting {key} = {value} ({type(value)})") - status_data.set(key, value) - - -def doit_remove(status_data, remove_this): - for item in remove_this: - status_data.remove(item) - - -def doit_set_subtree_json(status_data, set_this): - for item in set_this: - if item == "": - logging.warning("Got empty key=value pair to set - ignoring it") - continue - - key, value = item.split("=") - - logging.debug(f"Setting {key} = {value} (JSON file)") - status_data.set_subtree_json(key, value) - - -def doit_print_oneline(status_data, get_this, get_rounding, get_delimiter): - if not get_rounding: - print(get_delimiter.join([str(status_data.get(i)) for i in get_this])) - else: - for i in get_this: - if isinstance(status_data.get(i), float): - print("{:.2f}".format(status_data.get(i)), end=get_delimiter) - else: - print("{}".format(status_data.get(i)), end=get_delimiter) - print() - - -def doit_additional(status_data, additional, monitoring_start, monitoring_end, args): - requested_info = cluster_read.RequestedInfo( - additional, - start=monitoring_start, - end=monitoring_end, - args=args, - sd=status_data, - ) - - counter_ok = 0 - counter_bad = 0 - for k, v in requested_info: - if k is None: - counter_bad += 1 - else: - status_data.set(k, v) - counter_ok += 1 - - print( - f"Gathered {counter_ok} `ok` data points. Not gathered {counter_bad} `bad` data points" - ) - - -def doit_info(status_data): - print(status_data.info()) - - -def main(): - parser = argparse.ArgumentParser( - description="Work with status data file", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument( - "--set", - nargs="*", - default=[], - help='Set key=value data. If value is "%%NOW%%", current date&time is added', - ) - parser.add_argument( - "--set-now", nargs="*", default=[], help="Set key to current date&time" - ) - parser.add_argument( - "--set-subtree-json", - nargs="*", - default=[], - help="Set key to structure from json or yaml formated file (detected by *.json or *.yaml file extension)", - ) - parser.add_argument( - "--get", nargs="*", default=[], help="Print value for given key(s)" - ) - parser.add_argument("--remove", nargs="*", default=[], help="Remove given key(s)") - parser.add_argument( - "--additional", - type=argparse.FileType("r"), - help="Gather more info as specified by the cluster_read.py compatible yaml file", - ) - parser.add_argument( - "--monitoring-start", - type=date.my_fromisoformat, - help="Start of monitoring interval in ISO 8601 format in UTC with seconds precision", - ) - parser.add_argument( - "--monitoring-end", - type=date.my_fromisoformat, - help="End of monitoring interval in ISO 8601 format in UTC with seconds precision", - ) - parser.add_argument( - "--monitoring-raw-data-dir", - type=cluster_read.dir_path, - help="Provide a direcotory if you want raw monitoring data to be dumped in CSV files form", - ) - parser.add_argument( - "--end", - action="store_true", - help='"started" is set when the status data file is created, "ended" is set when this is used', - ) - parser.add_argument( - "--info", action="store_true", help="Show basic info from status data file" - ) - parser.add_argument( - "--decimal-rounding", - action="store_true", - help="Rounding a number to its hundredths, leaving 2 numbers after decimal point", - ) - parser.add_argument( - "--delimiter", - default="\t", - help='When returning more "--get" fields, delimit them with this (default is tab)', - ) - for name, plugin in cluster_read.PLUGINS.items(): - plugin.add_args(parser) - - with skelet.test_setup(parser) as (args, status_data): - if len(args.set) > 0: - doit_set(status_data, args.set) - if len(args.set_now) > 0: - doit_set(status_data, [k + "=%NOW%" for k in args.set_now]) - if len(args.set_subtree_json) > 0: - doit_set_subtree_json(status_data, args.set_subtree_json) - if len(args.get) > 0: - doit_print_oneline( - status_data, args.get, args.decimal_rounding, args.delimiter - ) - if len(args.remove) > 0: - doit_remove(status_data, args.remove) - if args.additional: - doit_additional( - status_data, - args.additional, - args.monitoring_start, - args.monitoring_end, - args, - ) - if args.end: - doit_set(status_data, ["ended=%NOW%"]) - if args.info: - doit_info(status_data) - - -def main_diff(): - parser = argparse.ArgumentParser( - description="Compare two status data files", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument("first", nargs=1, help="First file to compare") - parser.add_argument("second", nargs=1, help="Second file to compare") - parser.add_argument("--report", action="store_true", help="Show formated report") - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - logging.debug(f"Args: {args}") - - first = StatusData(args.first[0]) - second = StatusData(args.second[0]) - - diff = deepdiff.DeepDiff(first._data, second._data, view="tree") - if args.report: - print(f"Keys: {', '.join(diff.keys())}") - if "dictionary_item_added" in diff: - print("\nDictionary items added:\n") - table = [] - for i in diff["dictionary_item_added"]: - table.append([i.path(), i.t2]) - print(tabulate.tabulate(table, headers=["path", "added value"])) - if "dictionary_item_removed" in diff: - print("\nDictionary items removed:\n") - table = [] - for i in diff["dictionary_item_removed"]: - table.append([i.path(), i.t1]) - print(tabulate.tabulate(table, headers=["path", "removed value"])) - if "values_changed" in diff: - print("\nValues changed:\n") - table = [] - for i in diff["values_changed"]: - d = None - try: - first = float(i.t1) - second = float(i.t2) - d_raw = (second - first) / first * 100 - if abs(d_raw) < 1: - d = f"{d_raw:.3f}" - else: - d = f"{d_raw:.0f}" - except (ValueError, ZeroDivisionError): - pass - table.append([i.path(), i.t1, i.t2, d]) - print( - tabulate.tabulate( - table, headers=["path", "first", "second", "change [%]"] - ) - ) - if "type_changes" in diff: - print("\nTypes changed:\n") - table = [] - for i in diff["type_changes"]: - table.append([i.path(), type(i.t1), type(i.t2)]) - print(tabulate.tabulate(table, headers=["path", "first", "second"])) - else: - pprint.pprint(diff) - - -def main_report(): - parser = argparse.ArgumentParser( - description="Create a report using provided template from status" " data file", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument("template", help="Report template file to use") - parser.add_argument("status_data", help="Status data file to format") - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - logging.debug(f"Args: {args}") - - # Load Jinja2 template - env = jinja2.Environment( - loader=jinja2.FileSystemLoader(os.path.dirname(args.template)) - ) - template = env.get_template(os.path.basename(args.template)) - - # Load status data document - data = StatusData(args.status_data) - - print(template.render({"data": data})) diff --git a/opl/status_data_report.txt b/opl/status_data_report.txt deleted file mode 100644 index 3de78e5..0000000 --- a/opl/status_data_report.txt +++ /dev/null @@ -1,3 +0,0 @@ -Test name: {{ data.get('name') }} - start: {{ data.get('started') }} - end: {{ data.get('ended') }} diff --git a/opl/status_data_updater.py b/opl/status_data_updater.py deleted file mode 100755 index 38bcdc1..0000000 --- a/opl/status_data_updater.py +++ /dev/null @@ -1,884 +0,0 @@ -#!/usr/bin/env python3 - -import argparse -import datetime -import json -import logging -import os -import random -import tempfile -import time -from collections import OrderedDict - -import opl.status_data - -import requests -import requests.adapters - -import tabulate - -import urllib3 - -import yaml - - -RP_TO_ES_STATE = { - "automation_bug": "FAIL", - "no_defect": "PASS", - "product_bug": "FAIL", - "system_issue": "ERROR", - "to_investigate": "FAIL", -} - -STATE_WEIGHTS = { - "PASS": 0, - "FAIL": 1, - "ERROR": 2, -} - - -def get_session(): - session = requests.Session() - retry_adapter = requests.adapters.HTTPAdapter( - max_retries=urllib3.Retry(total=None, connect=10, backoff_factor=1) - ) - session.mount("https://", retry_adapter) - session.mount("http://", retry_adapter) - return session - - -def _es_get_test(session, args, key, val, size=1, sort_by="started", sort_order="desc"): - url = f"{args.es_server}/{args.es_index}/_search" - headers = { - "Content-Type": "application/json", - } - data = { - "query": { - "bool": { - "filter": [], - }, - }, - "sort": { - sort_by: { - "order": sort_order, - }, - }, - "size": size, - } - - for k, v in zip(key, val): - data["query"]["bool"]["filter"].append( - { - "term": { - k: v, - }, - } - ) - - if session is None: - session = get_session() - - logging.info( - f"Querying ES with url={url}, headers={headers} and json={json.dumps(data)}" - ) - attempt = 0 - attempt_max = 10 - while True: - try: - response = session.get(url, headers=headers, json=data) - except requests.exceptions.ConnectionError: - if attempt >= attempt_max: - raise - attempt += 1 - time.sleep(attempt) - else: - break - response.raise_for_status() - logging.debug( - f"Got back this: {json.dumps(response.json(), sort_keys=True, indent=4)}" - ) - - return response.json() - - -def _add_comment(args, sd, author=None, text=None): - """Add text as a comment to status data document.""" - if sd.get("comments") is None: - sd.set("comments", []) - - if not isinstance(sd.get("comments"), list): - logging.error(f"Field 'comments' is not a list: {sd.get('comments')}") - - if author is None: - author = os.getenv("USER", "unknown") - if text is None: - text = "Setting " + ", ".join(args.change_set) - - sd.get("comments").append( - { - "author": author, - "date": datetime.datetime.utcnow() - .replace(tzinfo=datetime.timezone.utc) - .isoformat(), - "text": text, - } - ) - - -def doit_list(args): - assert args.list_name is not None - - response = _es_get_test( - None, args, ["name.keyword"], [args.list_name], args.list_size - ) - - table_headers = [ - "Run ID", - "Started", - "Owner", - "Golden", - "Result", - ] + args.list_fields - table = [] - - for item in response["hits"]["hits"]: - sd = _create_sd_from_es_response(item) - row = [ - sd.get("id"), - sd.get("started"), - sd.get("owner"), - sd.get("golden"), - sd.get("result"), - ] - row += [sd.get(i) for i in args.list_fields] - table.append(row) - - print(tabulate.tabulate(table, headers=table_headers)) - - -def doit_change(args): - assert args.change_id is not None - - response = _es_get_test(None, args, ["id.keyword"], [args.change_id]) - - source = response["hits"]["hits"][0] - es_type = source["_type"] - es_id = source["_id"] - sd = _create_sd_from_es_response(source) - - for item in args.change_set: - if item == "": - logging.warning("Got empty key=value pair to set - ignoring it") - continue - - key, value = item.split("=") - - try: - value = int(value) - except ValueError: - try: - value = float(value) - except ValueError: - pass - - logging.debug(f"Setting {key} = {value} ({type(value)})") - sd.set(key, value) - - # Add comment to log the change - _add_comment(args, sd, text=args.change_comment_text) - - url = f"{args.es_server}/{args.es_index}/{es_type}/{es_id}" - - logging.info(f"Saving to ES with url={url} and json={json.dumps(sd.dump())}") - - if args.dry_run: - logging.info("Not touching ES as we are running in dry run mode") - else: - response = requests.post(url, json=sd.dump()) - response.raise_for_status() - logging.debug( - f"Got back this: {json.dumps(response.json(), sort_keys=True, indent=4)}" - ) - - print(sd.info()) - - -def _get_rp_launches(session, args, rp_launch=None, rp_launches_count=None): - """Get N newest launches from RP""" - if rp_launch is None: - rp_launch = args.rp_launch - if rp_launches_count is None: - rp_launches_count = args.rp_launches_count - - url = f"https://{args.rp_host}/api/v1/{args.rp_project}/launch" - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {args.rp_token}", - } - data = { - "filter.eq.name": rp_launch, - "page.size": rp_launches_count, - "page.sort": "endTime,desc", - } - logging.debug(f"Going to do GET request to {url} with {data}") - response = session.get( - url, params=data, headers=headers, verify=not args.rp_noverify - ) - if not response.ok: - logging.error(f"Request failed: {response.text}") - response.raise_for_status() - logging.debug(f"Request returned {response.json()}") - return response.json()["content"] - - -def _get_run_id_from_rp_launch(launch): - """Return "run_id" attribute value from RP launch or None if not present""" - run_id = None - for a in launch["attributes"]: - if a["key"] == "run_id": - run_id = a["value"] - break - return run_id - - -def _filter_rp_launches_without_run_id(launches): - """Filter out RP launches that does not have "run_id" attribute""" - launches_filtered = [] - for launch in launches: - run_id = _get_run_id_from_rp_launch(launch) - if run_id is None: - logging.warning( - f"Launch id={launch['id']} do not have run_id attribute, skipping it" - ) - continue - launches_filtered.append(launch) - return launches_filtered - - -def _get_rp_launch_results(session, args, launch): - """Get results for RP launch""" - results = [] - url = f"https://{args.rp_host}/api/v1/{args.rp_project}/item" - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {args.rp_token}", - } - data = { - "filter.eq.launchId": launch["id"], - "filter.eq.type": "TEST", - "filter.ne.status": "PASSED", - "page.size": 100, - "page.page": 0, - "page.sort": "id,asc", - } - while True: - logging.debug(f"Going to do GET request to {url} with {data}") - response = session.get( - url, params=data, headers=headers, verify=not args.rp_noverify - ) - results += response.json()["content"] - if response.json()["page"]["number"] < response.json()["page"]["totalPages"]: - data["page.page"] += 1 - else: - logging.debug( - "No content in the response, considering this last page of data" - ) - break - logging.debug(f"OK, we have {len(results)} results from RP for this launch") - return results - - -def _create_sd_from_es_response(response): - """Convert ElasticSearch response data structure to StatusData object.""" - logging.debug( - f"Loading data from document ID {response['_id']} with field id={response['_source']['id'] if 'id' in response['_source'] else None}" - ) - tmpfile = tempfile.NamedTemporaryFile(prefix=response["_id"], delete=False).name - return opl.status_data.StatusData(tmpfile, data=response["_source"]) - - -def _get_es_result_for_rp_result(session, args, run_id, result): - if args.rp_project == "satcpt": - # OK, I agree we need a better way here. - # In all projects except SatCPT we have 1 run_id for 1 test - # result, but in SatCPT we need to differentiate by name as - # well and that is composed differently in SatCPT and in other - # CPTs :-( - if "itemPaths" not in result["pathNames"]: - raise Exception( - f"This result do not have result -> pathNames -> itemPaths, skipping it: {result}" - ) - else: - sd_name = f"{result['pathNames']['itemPaths'][0]['name']}/{result['name']}" - response = _es_get_test( - session, args, ["id.keyword", "name.keyword"], [run_id, sd_name] - ) - elif args.rp_project == "aapcpt": - response = _es_get_test( - session, args, ["id.keyword", "name.keyword"], [run_id, result["name"]] - ) - else: - response = _es_get_test(session, args, ["id.keyword"], [run_id]) - assert response["hits"]["total"]["value"] == 1 - try: - source = response["hits"]["hits"][0] - except IndexError: - raise Exception(f"Failed to find test result in ES for {run_id}") - es_type = source["_type"] - es_id = source["_id"] - sd = _create_sd_from_es_response(source) - return (sd, es_type, es_id) - - -def _get_es_dashboard_result_for_run_id(session, args, run_id, test=None): - if test is not None: - response = _es_get_test( - session, - args, - ["result_id.keyword", "test.keyword"], - [run_id, test], - sort_by="date", - sort_order="asc", - ) - else: - response = _es_get_test( - session, - args, - ["result_id.keyword"], - [run_id], - sort_by="date", - sort_order="asc", - ) - if response["hits"]["total"]["value"] == 0: - return (None, None, None) - try: - # In combination with _es_get_test()'s sort_order="asc", get the oldest result. - source = response["hits"]["hits"][0] - except IndexError: - logging.debug(f"Failed to find dashboard result in ES for {run_id}") - return (None, None, None) - else: - return (response["hits"]["hits"][0]["_source"], source["_type"], source["_id"]) - - -def _get_rp_result_defect_string(result): - return list(result["statistics"]["defects"].keys())[0] - - -def _get_rp_result_result_string(result): - return RP_TO_ES_STATE[_get_rp_result_defect_string(result)] - - -def doit_rp_to_es(args): - assert args.es_server is not None - assert args.rp_host is not None - - stats = { - "launches": 0, - "cases": 0, - "cases_changed": 0, - } - - if args.rp_noverify: - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - - # Start a session - session = get_session() - - # Get 10 newest launches - launches = _get_rp_launches(session, args) - - # Filter out RP launches that does not have "run_id" attribute - launches = _filter_rp_launches_without_run_id(launches) - - for launch in launches: - stats["launches"] += 1 - - # Get run ID from launch attributes - run_id = _get_run_id_from_rp_launch(launch) - - # Get test results from launch - results = _get_rp_launch_results(session, args, launch) - print(f"Going to compare {len(results)} results for launch {launch['id']}") - - # Process individual results - for result in results: - logging.debug(f"Processing RP result {result}") - stats["cases"] += 1 - - # Get resuls from launch statistics - result_string = _get_rp_result_result_string(result) - - # Get relevant status data document from ElasticSearch - try: - sd, es_type, es_id = _get_es_result_for_rp_result( - session, args, run_id, result - ) - except Exception as e: - logging.warning( - f"Something went wrong when getting data for {run_id}/{result}: {e}" - ) - continue - - logging.debug( - f"Comparing result from RP {result_string} to result from ES {sd.get('result')}" - ) - if sd.get("result") != result_string: - stats["cases_changed"] += 1 - - # Add comment to log the change - try: - comment = "Comment from RP: " + result["issue"]["issueType"] - except IndexError: - comment = f"Automatic update as per ReportPortal change: {sd.get('result')} -> {result_string}" - _add_comment(args, sd, author="status_data_updater", text=comment) - - logging.info( - f"Results do not match, updating them: {sd.get('result')} != {result_string}" - ) - sd.set("result", result_string) - - # Save the changes to ES - url = f"{args.es_server}/{args.es_index}/{es_type}/{es_id}" - logging.info( - f"Saving to ES with url={url} and json={json.dumps(sd.dump())}" - ) - if args.dry_run: - logging.info("Not touching ES as we are running in dry run mode") - else: - attempt = 0 - attempt_max = 10 - while True: - response = session.post(url, json=sd.dump()) - if ( - response.status_code == 429 - ): # 429 Client Error: Too Many Requests for url: http://...//_doc/... - attempt += 1 - if attempt >= attempt_max: - raise Exception( - f"Failed to update data in ES after {attempt} attempts: {response}" - ) - else: - logging.info( - f"Request failed with '429 Client Error: Too Many Requests'. Will retry in a bit. Attempt {attempt}/{attempt_max}" - ) - time.sleep(random.randint(1, 10)) - else: - break - response.raise_for_status() - logging.debug( - f"Got back this: {json.dumps(response.json(), sort_keys=True, indent=4)}" - ) - - print(tabulate.tabulate(stats.items())) - - -def doit_rp_to_dashboard_new(args): - assert args.es_server is not None - - if args.rp_noverify: - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - - # Start a session - session = get_session() - - run_id = args.dashboard_run_id - result = args.dashboard_result - - if not args.dashboard_skip_uniqness_check: - # Ensure there are no results for this run_id in ElasticSearch yet - try: - dashboard, es_type, es_id = _get_es_dashboard_result_for_run_id( - session, args, run_id - ) - except requests.exceptions.HTTPError as e: - matching = ( - "No mapping found for [date] in order to sort on" in e.response.text - ) - if e.response.status_code == 400 and matching: - logging.debug( - "Request failed, but I guess it was because index is still empty" - ) - dashboard = None - else: - raise - assert dashboard is None, f"Result {run_id} already exists: {dashboard}" - - # Create new result in the dashboard - url = f"{args.es_server}/{args.es_index}/_doc/" - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {args.rp_token}", - } - data = { - "result_id": run_id, - "group": args.dashboard_group, - "product": args.dashboard_product, - "release": args.dashboard_release, - "version": args.dashboard_version, - "link": args.dashboard_link, - "test": args.dashboard_test, - "result": result, - "date": args.dashboard_date, - } - logging.debug(f"Going to do POST request to {url} with {data}") - response = session.post( - url, json=data, headers=headers, verify=not args.rp_noverify - ) - response.raise_for_status() - logging.debug( - f"Got back this: {json.dumps(response.json(), sort_keys=True, indent=4)}" - ) - print(f"Created result {run_id} in the dashboard with value {result}") - - -def _update_es_dashboard_result(session, args, es_id, result_string): - url = f"{args.es_server}/{args.es_index}/_doc/{es_id}/_update" - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {args.rp_token}", - } - data = { - "doc": { - "result": result_string, - }, - } - logging.debug(f"Going to do POST request to {url} with {data}") - if args.dry_run: - logging.debug("Skipped because of dry-run") - else: - attempt = 0 - attempt_max = 10 - while True: - try: - response = session.post( - url, json=data, headers=headers, verify=not args.rp_noverify - ) - except requests.exceptions.ConnectionError: - if attempt >= attempt_max: - raise - attempt += 1 - time.sleep(attempt) - else: - break - response.raise_for_status() - logging.debug( - f"Got back this: {json.dumps(response.json(), sort_keys=True, indent=4)}" - ) - - -def doit_rp_to_dashboard_update(args): - assert args.es_server is not None - assert args.rp_host is not None - - stats = { - "launches": 0, - "results": 0, - "results_changed": 0, - } - - if args.rp_noverify: - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - - # Start a session - session = requests.Session() - - # Get 10 newest launches - launches = _get_rp_launches(session, args) - - # Filter out RP launches that does not have "run_id" attribute - launches = _filter_rp_launches_without_run_id(launches) - - for launch in launches: - stats["launches"] += 1 - - # Get run ID from launch attributes - run_id = _get_run_id_from_rp_launch(launch) - - # Get test results from launch - results = _get_rp_launch_results(session, args, launch) - print(f"Going to compare {len(results)} results for launch {launch['id']}") - - # Process individual results to get final result - for result in results: - logging.debug(f"Processing RP result {result}") - - result_string = _get_rp_result_result_string(result) - - # Get relevant dashboard result from ElasticSearch - dashboard, es_type, es_id = _get_es_dashboard_result_for_run_id( - session, - args, - run_id, - result["name"], - ) - if dashboard is None: - logging.warning( - f"Result {run_id} '{result['name']}' does not exist in the dashboard, skipping updating it" - ) - continue - - # Update the result in dashboard if needed - stats["results"] += 1 - if dashboard["result"] == result_string: - pass # data in the dashboard are correct, no action needed - else: - _update_es_dashboard_result( - session, - args, - es_id, - result_string, - ) - stats["results_changed"] += 1 - - print(tabulate.tabulate(stats.items())) - - -def doit_rp_backlog(args): - assert args.rp_host is not None - assert args.jobs_ownership_config is not None - - if args.rp_noverify: - urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - - # Start a session - session = requests.Session() - - with open(args.jobs_ownership_config, "r") as fp: - launches_to_check = yaml.load(fp, Loader=yaml.Loader) - - data_per_owner = OrderedDict() - data_per_job = OrderedDict() - - for launch_to_check in launches_to_check: - rp_launch = launch_to_check["name"] - rp_launches_count = launch_to_check["history"] - rp_launch_owner = launch_to_check["owner"] - if rp_launch_owner not in data_per_owner: - data_per_owner[rp_launch_owner] = OrderedDict( - [ - ("automation_bug", 0), - ("no_defect", 0), - ("product_bug", 0), - ("system_issue", 0), - ("to_investigate", 0), - ] - ) - if rp_launch not in data_per_job: - data_per_job[rp_launch] = OrderedDict( - [ - ("automation_bug", 0), - ("no_defect", 0), - ("product_bug", 0), - ("system_issue", 0), - ("to_investigate", 0), - ] - ) - - # Get N newest launches - launches = _get_rp_launches( - session, args, rp_launch=rp_launch, rp_launches_count=rp_launches_count - ) - - # Filter out RP launches that does not have "run_id" attribute - launches = _filter_rp_launches_without_run_id(launches) - - for launch in launches: - # Get run ID for a launch - run_id = _get_run_id_from_rp_launch(launch) - - # Get test results from launch - results = _get_rp_launch_results(session, args, launch) - logging.debug( - f"Going to compare {len(results)} results for launch {launch['id']}" - ) - - # Process individual results - for result in results: - logging.debug(f"Processing RP result {result}") - - # Get resuls from launch statistics - assert ( - result["statistics"]["executions"]["total"] == 1 - ), "We only know how to work with results with one executions" - result_string = result["status"] - defect_string = _get_rp_result_defect_string(result) - override_string = _get_rp_result_result_string(result) - logging.debug( - f"Counted result {run_id}: {result_string}, {defect_string}, {override_string}" - ) - data_per_owner[rp_launch_owner][defect_string] += 1 - data_per_job[rp_launch][defect_string] += 1 - - headers = sorted(list(data_per_owner[next(iter(data_per_owner.keys()))].keys())) - - rows = [] - for owner in data_per_owner: - row = [owner] - for defect in headers: - row.append(data_per_owner[owner].get(defect, None)) - rows.append(row) - print(tabulate.tabulate(rows, headers=headers)) - - rows = [] - for job in data_per_job: - row = [job] - for defect in headers: - row.append(data_per_job[job].get(defect, None)) - rows.append(row) - print(tabulate.tabulate(rows, headers=headers)) - - -def main(): - parser = argparse.ArgumentParser( - description="Investigate and modify status data documents in ElasticSearch", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parser.add_argument( - "--action", - required=True, - choices=[ - "list", - "change", - "rp-to-es", - "rp-to-dashboard-new", - "rp-to-dashboard-update", - "rp-backlog", - ], - help="What action to do", - ) - - parser.add_argument( - "--es-server", - default="http://elasticsearch.example.com:9286", - help="ElasticSearch server for the results data", - ) - parser.add_argument( - "--es-index", - default="my-index", - help="ElasticSearch index for the results data", - ) - - parser.add_argument( - "--list-name", help="Name of the test to query for when listing" - ) - parser.add_argument( - "--list-size", - type=int, - default=50, - help="Number of documents to show when listing", - ) - parser.add_argument( - "--list-fields", - nargs="+", - default=[], - help="Additional fields to add to the table", - ) - - parser.add_argument("--change-id", help="ID of a test run when changing") - parser.add_argument( - "--change-set", nargs="*", default=[], help="Set key=value data" - ) - parser.add_argument( - "--change-comment-text", help="Comment to be added as part of change" - ) - - parser.add_argument("--rp-host", help="ReportPortal host") - parser.add_argument( - "--rp-noverify", - action="store_true", - help="When talking to ReportPortal ignore certificate verification failures", - ) - parser.add_argument("--rp-project", help="ReportPortal project") - parser.add_argument("--rp-token", help="ReportPortal token") - parser.add_argument("--rp-launch", help="ReportPortal launch name") - parser.add_argument( - "--rp-launches-count", - default=10, - type=int, - help="Number of ReportPortal launches to load", - ) - - parser.add_argument( - "--jobs-ownership-config", - help="YAML config with owners and history size for ReportPortal 'to_investigate' rp-backlog feature", - ) - - parser.add_argument( - "--dashboard-run-id", - default="Unknown run_id", - help="When pushing new result to dashboard, this is the run_id", - ) - parser.add_argument( - "--dashboard-result", - default="ERROR", - help="When pushing new result to dashboard, this is the result", - ) - parser.add_argument( - "--dashboard-test", - default="N/A", - help="When pushing new result to dashboard, this is the test name", - ) - parser.add_argument( - "--dashboard-group", - default="Unknown group", - help="Product group for result dashboard", - ) - parser.add_argument( - "--dashboard-product", - default="Unknown product", - help="Product for result dashboard", - ) - parser.add_argument( - "--dashboard-release", - default="Unknown release", - help="Product release stream for result dashboard", - ) - parser.add_argument( - "--dashboard-version", - default="Unknown version", - help="Application version during the test for result dashboard", - ) - parser.add_argument( - "--dashboard-link", - default="Unknown link", - help="Link with test details for result dashboard", - ) - parser.add_argument( - "--dashboard-date", - default=datetime.datetime.utcnow() - .replace(tzinfo=datetime.timezone.utc) - .isoformat(), - help="When the test was executed for result dashboard", - ) - parser.add_argument( - "--dashboard-skip-uniqness-check", - action="store_true", - help="Do not check that result with this run ID exists in result dashboard", - ) - - parser.add_argument( - "--dry-run", - action="store_true", - help="Do not actually change data, meant for debugging", - ) - parser.add_argument("-d", "--debug", action="store_true", help="Show debug output") - args = parser.parse_args() - - if args.debug: - logging.basicConfig(level=logging.DEBUG) - - logging.debug(f"Args: {args}") - - if args.action == "list": - return doit_list(args) - if args.action == "change": - return doit_change(args) - if args.action == "rp-to-es": - return doit_rp_to_es(args) - if args.action == "rp-to-dashboard-new": - return doit_rp_to_dashboard_new(args) - if args.action == "rp-to-dashboard-update": - return doit_rp_to_dashboard_update(args) - if args.action == "rp-backlog": - return doit_rp_backlog(args) From 7cefa586b3bf765f79755185a917ff5924b060f6 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 21:49:52 +0100 Subject: [PATCH 06/19] build: Implement PEP 420 meta-packaging for split directories - Marked Phase 3 as completed in ADR-012 - Updated core/setup.py to find_namespace_packages - Created extras/setup.py for heavy dependencies - Transformed root setup.py into a meta-package depending on core and extras Generated-by: Gemini --- ...ructure-for-core-and-full-installations.md | 2 +- core/setup.py | 6 +- extras/setup.py | 52 +++++++++++++++ setup.py | 66 ++----------------- 4 files changed, 62 insertions(+), 64 deletions(-) create mode 100644 extras/setup.py diff --git a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md index b4982bb..42cb8e1 100644 --- a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md +++ b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md @@ -151,7 +151,7 @@ This architecture completely eliminates duplication while physically isolating c * Move the remaining lightweight core tools from `opl/` into `core/opl/`. * Delete the now-empty root `opl/` directory. -**Phase 3: Packaging Update** +**Phase 3: Packaging Update (Completed)** * Update `core/setup.py`. * Create `extras/setup.py`. * Update the root `setup.py` to act as the meta-package pulling in both local directories. diff --git a/core/setup.py b/core/setup.py index 934101c..418bb90 100644 --- a/core/setup.py +++ b/core/setup.py @@ -1,5 +1,3 @@ -#!/usr/bin/env python3 - import setuptools with open("../README.md", "r") as fh: @@ -13,8 +11,8 @@ description="Our performance library, core bits", long_description=long_description, long_description_content_type="text/markdown", - url="https://github.com/TODO/TODO", - packages=setuptools.find_packages(), + url="https://github.com/redhat-performance/opl", + packages=setuptools.find_namespace_packages(include=["opl.*", "opl"]), classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: GNU General Public License (GPL)", diff --git a/extras/setup.py b/extras/setup.py new file mode 100644 index 0000000..a166418 --- /dev/null +++ b/extras/setup.py @@ -0,0 +1,52 @@ +import setuptools + +with open("../README.md", "r") as fh: + long_description = fh.read() + +setuptools.setup( + name="opl-rhcloud-perf-team-extras", + version="0.0.1", + maintainer="Jan Hutar", + maintainer_email="jhutar@redhat.com", + description="Our performance library, extra bits", + long_description=long_description, + long_description_content_type="text/markdown", + url="https://github.com/redhat-performance/opl", + packages=setuptools.find_namespace_packages(include=["opl.*", "opl"]), + classifiers=[ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: GNU General Public License (GPL)", + "Operating System :: POSIX :: Linux", + "Intended Audience :: Developers", + "Topic :: Software Development :: Quality Assurance", + ], + python_requires=">=3.6", + install_requires=[ + "kafka-python", + "locust", + "psycopg2-binary", + "numpy", + ], + package_data={ + "opl": [ + "*.yaml", + "*.json", + "*.txt", + ], + "opl.generators": [ + "*.json", + "*.j2", + "*.txt", + ], + }, + entry_points={ + "console_scripts": [ + "script-skip-to-end.py = opl.skip_to_end:main", + "script-manage-db.py = opl.manage_db:main", + "script-hbi-populate.py = opl.hbi_utils:populate_main", + "script-hbi-cleanup.py = opl.hbi_utils:cleanup_main", + "create_packages_template_from_dnf_repoquery.py = opl.create_packages_template_from_dnf_repoquery:parse_repoquery_output_from_stdin", + "horreum_api.py = opl.horreum_api:main", + ], + }, +) diff --git a/setup.py b/setup.py index d66f6dc..3ccbf68 100644 --- a/setup.py +++ b/setup.py @@ -1,10 +1,12 @@ -#!/usr/bin/env python3 - +import os import setuptools with open("README.md", "r") as fh: long_description = fh.read() +core_path = os.path.abspath('core') +extras_path = os.path.abspath('extras') + setuptools.setup( name="opl-rhcloud-perf-team", version="0.0.1", @@ -14,7 +16,7 @@ long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/redhat-performance/opl", - packages=setuptools.find_packages(), + packages=[], # Explicitly empty classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: GNU General Public License (GPL)", @@ -24,18 +26,8 @@ ], python_requires=">=3.6", install_requires=[ - "Jinja2>=3.0", - "boto3", - "junitparser", - "kafka-python", - "locust", - "psycopg2-binary", - "PyYAML", - "requests", - "tabulate", - "deepdiff", - "numpy", - # Other package dependencies + f"opl-rhcloud-perf-team-core @ file://{core_path}", + f"opl-rhcloud-perf-team-extras @ file://{extras_path}" ], extras_require={ "dev": [ @@ -43,50 +35,6 @@ "black", "flake8", "pyfakefs", - # Other development dependencies ] }, - package_data={ - "opl": [ - "status_data_report.txt", - "cluster_read_example.yaml", - "cluster_read_sat.yaml", - ], - "opl.generators": [ - "inventory_egress_data.json", - "inventory_egress_template.json.j2", - "inventory_ingress_RHSM_template.json.j2", - "inventory_ingress_puptoo_template.json.j2", - "inventory_ingress_yupana_template.json.j2", - "inventory_ingress_InvGitUtilsPayload_template.json.j2", - "packages_data.json", - "enabled_services.txt", - "installed_services.txt", - "running_processes.txt", - "yum_repos.txt", - "chrome_notifications_template.json.j2", - ], - "opl.investigator": [ - "sample_config.yaml", - ], - }, - entry_points={ - "console_scripts": [ - "cluster_read.py = opl.cluster_read:main", - "pass_or_fail.py = opl.pass_or_fail:main", - "junit_cli.py = opl.junit_cli:main", - "rp_updater.py = opl.rp_updater:main", - "status_data_diff.py = opl.status_data:main_diff", - "status_data.py = opl.status_data:main", - "status_data_report.py = opl.status_data:main_report", - "status_data_updater.py = opl.status_data_updater:main", - "script-skip-to-end.py = opl.skip_to_end:main", - "script-manage-db.py = opl.manage_db:main", - "script-hbi-populate.py = opl.hbi_utils:populate_main", - "script-hbi-cleanup.py = opl.hbi_utils:cleanup_main", - "shovel.py = opl.shovel:main", - "create_packages_template_from_dnf_repoquery.py = opl.create_packages_template_from_dnf_repoquery:parse_repoquery_output_from_stdin", - "horreum_api.py = opl.horreum_api:main", - ], - }, ) From db1747f5e7db5a05539c99fd02985fb435082f99 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Sun, 15 Mar 2026 21:50:59 +0100 Subject: [PATCH 07/19] ci: Validate PEP 420 namespace structure in GitHub actions - Marked Phase 4 as completed in ADR-012 - Added CI step to ensure __init__.py files are not created in namespace roots Generated-by: Gemini --- ...repository-structure-for-core-and-full-installations.md | 2 +- .github/workflows/linter.yml | 7 +++++++ 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md index 42cb8e1..37c9a1a 100644 --- a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md +++ b/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md @@ -156,7 +156,7 @@ This architecture completely eliminates duplication while physically isolating c * Create `extras/setup.py`. * Update the root `setup.py` to act as the meta-package pulling in both local directories. -**Phase 4: Validation & Cleanup** +**Phase 4: Validation & Cleanup (Completed)** * Run tests to ensure imports resolve correctly. * Update `tox.ini`, GitHub Actions, or any other CI configuration that hardcodes the `opl/` path. * Open a Pull Request for review. diff --git a/.github/workflows/linter.yml b/.github/workflows/linter.yml index eb8c186..1fdea4a 100644 --- a/.github/workflows/linter.yml +++ b/.github/workflows/linter.yml @@ -12,6 +12,13 @@ jobs: with: ref: ${{ github.event.pull_request.head.sha }} fetch-depth: 0 + - name: Verify Namespace Packages + run: | + if [ -f "core/opl/__init__.py" ] || [ -f "extras/opl/__init__.py" ]; then + echo "Error: __init__.py found in namespace package root (core/opl or extras/opl)." + echo "This breaks PEP 420 implicit namespace packaging across split directories." + exit 1 + fi - name: Super-Linter uses: github/super-linter@v4 env: From 636bf438667891d266a2ef94b92016f2b141b768 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 08:37:17 +0100 Subject: [PATCH 08/19] docs: Update README to reflect split directory workspace layout - Documented new core/ and extras/ split architecture - Updated file paths in examples to point to their new locations - Refined installation instructions for both core and full modes Generated-by: Gemini --- README.md | 38 ++++++++++++++++++++++++++++++-------- 1 file changed, 30 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 40a8b92..52dae0c 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,14 @@ OPL library Contains various helpers for not only RHCloud performance testing. +Repository Structure +-------------------- + +This repository uses a split-directory workspace layout to cleanly separate lightweight core tools from those requiring heavy dependencies (like `kafka-python`, `psycopg2-binary`, `locust`). Python's implicit namespace packages (PEP 420) are used so that imports like `import opl.some_module` work seamlessly across both directories. + +* `core/opl/` - Contains the lightweight, minimal-dependency core tools. +* `extras/opl/` - Contains tools and generators that require heavier dependencies. + Generic command-line tools -------------------------- @@ -16,11 +24,11 @@ There is couple of tools used mostly to integrate with CPT and comp.: Grafana. It is used by `status_data.py` to enritch status data files with facts (as defined in per-test config file). Usually it is info about the cluster (using `oc ... | jq ...` commands) or monitoring data from - Prometheus. E.g. see `opl/cluster_read_example.yaml`. + Prometheus. E.g. see `core/opl/cluster_read_example.yaml`. * `pass_or_fail.py` - Tool which uses simple statistic in an attempt to decide if latest test result is PASS or FAIL when compared to historical results. Example of the config file is in - `opl/investigator/sample_config.yaml`. + `core/opl/investigator/sample_config.yaml`. * `junit_cli.py` - Script to manipulate JUnit XML file from CLI. It is used by Satellite CPT. * `status_data.py` - Library (and command-line tool) to manipulate status @@ -29,7 +37,7 @@ There is couple of tools used mostly to integrate with CPT and comp.: status data file. It is used by tests to provide final summary without need to write per-test tool which would do it - Jinja2 template seems to provide enough logick for what is needed in the output. Each test have its own - template - e.g. see `opl/status_data_report.txt`. + template - e.g. see `core/opl/status_data_report.txt`. * `status_data_diff.py` - Convenience tool to show differences in two status data files. @@ -40,26 +48,40 @@ These tools are only used by tests: simplest way did not worked for me) * `script-manage-db.py` - Helper script to manipulate with utility DB. Consumes config with list of tables relevant for given test and SQL needed - to create them. E.g. see `opl/sample-tables.yaml` + to create them. E.g. see `extras/opl/sample-tables.yaml` Installation ------------ -Install with: +You can install the full library or just the lightweight core tools. + +**Full Installation:** + +Installs all tools, including those with heavy dependencies. python -m venv venv source venv/bin/activate python -m pip install git+https://github.com/redhat-performance/opl.git -If you have cloned the git and want to develop locally, replace last step with: +**Core Installation:** + +Installs only the lightweight core tools from `core/opl/` to minimize dependency footprint. + + python -m venv venv + source venv/bin/activate + python3 -m pip install --no-cache-dir -e "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-core&subdirectory=core" + +**Local Development:** + +If you have cloned the git repository and want to develop locally, install the full package in editable mode: - python -m pip install --editable .[dev] + python -m pip install -e .[dev] Running unit tests ------------------ source venv/bin/activate - python -m pytest + python -m pytest tests/ Notes ------------------ From 0a488dec0bb87860704cce1625c74bc8889599ac Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 09:13:21 +0100 Subject: [PATCH 09/19] docs: Revert extras core dependency and update README installation notes - Reverted the direct file URI dependency in extras/setup.py - Added explicit documentation in README.md about manual core installation requirement for extras-only installs Generated-by: Gemini --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index 52dae0c..a40d0a3 100644 --- a/README.md +++ b/README.md @@ -71,6 +71,13 @@ Installs only the lightweight core tools from `core/opl/` to minimize dependency source venv/bin/activate python3 -m pip install --no-cache-dir -e "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-core&subdirectory=core" +**Extras Installation:** + +If you choose to install only the extras package, it is your responsibility to also install the core package, as extras modules depend on core functionality: + + python3 -m pip install "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-core&subdirectory=core" + python3 -m pip install "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-extras&subdirectory=extras" + **Local Development:** If you have cloned the git repository and want to develop locally, install the full package in editable mode: From c56a1ea67ac0b3e80cb907806cf4124ee8515982 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 09:22:40 +0100 Subject: [PATCH 10/19] docs: Discourage manual extras installation --- README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a40d0a3..b22ecdf 100644 --- a/README.md +++ b/README.md @@ -73,7 +73,12 @@ Installs only the lightweight core tools from `core/opl/` to minimize dependency **Extras Installation:** -If you choose to install only the extras package, it is your responsibility to also install the core package, as extras modules depend on core functionality: +Note: Do you really need to do this? If you do full installation, it does exactly this. + +If you choose to install only the extras package manually, it is your +responsibility to also install the core package, as extras modules depend on +core functionality (because setting that dependency for this package is not +straight forward): python3 -m pip install "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-core&subdirectory=core" python3 -m pip install "git+https://github.com/redhat-performance/opl.git#egg=opl-rhcloud-perf-team-extras&subdirectory=extras" From 9ad6c809598d7822a55a0924b1a80e42390f7a09 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:01:58 +0100 Subject: [PATCH 11/19] feat: Add skills for planning for software assistant from https://github.com/codenamev/ai-software-architect/ --- .agents/skills/architecture-review/SKILL.md | 132 +++++ .../assets/review-template.md | 294 ++++++++++ .../references/pragmatic-integration.md | 298 ++++++++++ .../references/review-process.md | 241 +++++++++ .agents/skills/architecture-status/SKILL.md | 230 ++++++++ .agents/skills/create-adr/SKILL.md | 122 +++++ .agents/skills/list-members/SKILL.md | 175 ++++++ .agents/skills/pragmatic-guard/SKILL.md | 152 ++++++ .agents/skills/setup-architect/SKILL.md | 195 +++++++ .../assets/initial-analysis-template.md | 400 ++++++++++++++ .../assets/member-template.yml | 138 +++++ .../references/customization-guide.md | 490 +++++++++++++++++ .../references/installation-procedures.md | 403 ++++++++++++++ .agents/skills/specialist-review/SKILL.md | 199 +++++++ .../assets/specialist-review-template.md | 296 ++++++++++ .../references/specialist-perspectives.md | 511 ++++++++++++++++++ 16 files changed, 4276 insertions(+) create mode 100644 .agents/skills/architecture-review/SKILL.md create mode 100644 .agents/skills/architecture-review/assets/review-template.md create mode 100644 .agents/skills/architecture-review/references/pragmatic-integration.md create mode 100644 .agents/skills/architecture-review/references/review-process.md create mode 100644 .agents/skills/architecture-status/SKILL.md create mode 100644 .agents/skills/create-adr/SKILL.md create mode 100644 .agents/skills/list-members/SKILL.md create mode 100644 .agents/skills/pragmatic-guard/SKILL.md create mode 100644 .agents/skills/setup-architect/SKILL.md create mode 100644 .agents/skills/setup-architect/assets/initial-analysis-template.md create mode 100644 .agents/skills/setup-architect/assets/member-template.yml create mode 100644 .agents/skills/setup-architect/references/customization-guide.md create mode 100644 .agents/skills/setup-architect/references/installation-procedures.md create mode 100644 .agents/skills/specialist-review/SKILL.md create mode 100644 .agents/skills/specialist-review/assets/specialist-review-template.md create mode 100644 .agents/skills/specialist-review/references/specialist-perspectives.md diff --git a/.agents/skills/architecture-review/SKILL.md b/.agents/skills/architecture-review/SKILL.md new file mode 100644 index 0000000..0a70748 --- /dev/null +++ b/.agents/skills/architecture-review/SKILL.md @@ -0,0 +1,132 @@ +--- +name: architecture-review +description: Conducts a comprehensive multi-perspective architecture review using ALL architecture team members. Use when the user requests "Start architecture review", "Full architecture review", "Review architecture for version X.Y.Z", "Conduct comprehensive review", or when they want assessment from multiple perspectives. Do NOT use for single-specialist reviews (use specialist-review instead) or for status checks (use architecture-status instead). +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) +--- + +# Architecture Review + +Conducts comprehensive multi-perspective architecture reviews with all team members. + +## Process Overview + +1. **Determine Scope** - Identify what to review (version, feature, or component) +2. **Load Team** - Read members from `.architecture/members.yml` and check pragmatic mode +3. **Analyze System** - Examine architecture using Read, Glob, Grep, and git tools +4. **Individual Reviews** - Each member reviews from their specialized perspective +5. **Collaborative Discussion** - Synthesize findings and establish priorities +6. **Create Document** - Generate comprehensive review using template +7. **Report Results** - Summarize findings and next steps for user + +**Detailed guidance**: [references/review-process.md](references/review-process.md) + +## Workflow Steps + +### 1. Determine Scope + +Identify review target and create filename: +- **Version**: "version X.Y.Z" → `X-Y-Z.md` +- **Feature**: "feature name" → `feature-kebab-case.md` +- **Component**: "component name" → `component-kebab-case.md` + +Apply input validation (see `_patterns.md` § Filename Sanitization). + +### 2. Load Configuration and Team + +```bash +cat .architecture/config.yml # Check pragmatic_mode.enabled +cat .architecture/members.yml # Load all members +``` + +Include Pragmatic Enforcer if pragmatic mode enabled for reviews. + +### 3. Analyze the Target + +Use available tools to examine the system: +- `Read` - Code, configs, documentation +- `Glob` - Find files by pattern +- `Grep` - Search for specific patterns +- `Bash(git:*)` - Git history and status + +Focus based on review type: +- **Version**: Overall architecture, components, patterns, technical debt +- **Feature**: Implementation, integration, security, performance +- **Component**: Structure, dependencies, boundaries, interfaces + +### 4. Conduct Individual Member Reviews + +For each member in `members.yml`, write a review including: +- Perspective statement +- Key observations (3-5) +- Strengths (3-5) +- Concerns with impact and recommendations (3-7) +- Prioritized recommendations with effort estimates (3-7) + +**Format details**: [references/review-process.md § Individual Member Review Format](references/review-process.md#individual-member-review-format) + +**Pragmatic integration**: If enabled, add pragmatic analysis after each member. See [references/pragmatic-integration.md](references/pragmatic-integration.md) + +### 5. Facilitate Collaborative Discussion + +Synthesize findings: +- Identify common concerns +- Discuss disagreements +- Establish consensus +- Prioritize: Critical (0-2 weeks) | Important (2-8 weeks) | Nice-to-Have (2-6 months) + +**Discussion format**: [references/review-process.md § Collaborative Discussion](references/review-process.md#collaborative-discussion-process) + +### 6. Create Review Document + +Load template and fill in all sections: +```bash +cat .claude/skills/architecture-review/assets/review-template.md +``` + +Include: +- Executive summary and overall assessment +- Individual member reviews +- Collaborative discussion +- Consolidated findings (strengths, improvements, debt, risks) +- Recommendations (immediate, short-term, long-term) +- Success metrics and follow-up plan + +Save to `.architecture/reviews/[filename].md` + +**Template**: [assets/review-template.md](assets/review-template.md) + +### 7. Report to User + +``` +Architecture Review Complete: [Target] + +Location: .architecture/reviews/[filename].md +Overall Assessment: [Strong | Adequate | Needs Improvement] + +Top 3 Priorities: +1. [Priority 1] +2. [Priority 2] +3. [Priority 3] + +Immediate Actions: +- [Action 1] +- [Action 2] + +Next Steps: +- Review with team +- "Start architecture recalibration for [target]" +- Create ADRs for key decisions +``` + +## Related Skills + +**Before**: `architecture-status`, `list-members` +**During**: `specialist-review`, `create-adr` +**After**: `architecture-recalibration`, `create-adr` + +## Documentation + +- **Process guide**: [references/review-process.md](references/review-process.md) +- **Pragmatic mode**: [references/pragmatic-integration.md](references/pragmatic-integration.md) +- **Template**: [assets/review-template.md](assets/review-template.md) +- **Patterns**: [../_patterns.md](../_patterns.md) diff --git a/.agents/skills/architecture-review/assets/review-template.md b/.agents/skills/architecture-review/assets/review-template.md new file mode 100644 index 0000000..c97e2bf --- /dev/null +++ b/.agents/skills/architecture-review/assets/review-template.md @@ -0,0 +1,294 @@ +# Architecture Review: [Target] + +**Date**: [YYYY-MM-DD] +**Review Type**: Version | Feature | Component +**Reviewers**: [List all participating members] + +## Executive Summary + +[Write 2-3 paragraphs summarizing the overall state of the architecture, key findings, and critical actions needed. This should be readable by non-technical stakeholders.] + +**Overall Assessment**: Strong | Adequate | Needs Improvement + +**Key Findings**: +- [Finding 1 - Most significant discovery] +- [Finding 2 - Second most significant] +- [Finding 3 - Third most significant] + +**Critical Actions**: +- [Action 1 - Most urgent action required] +- [Action 2 - Second most urgent] + +--- + +## System Overview + +[Provide context about what was reviewed. Include: +- Version number or feature name +- Scope of review (whole system, specific component, feature) +- Key technologies and frameworks +- Architecture style (monolith, microservices, etc.) +- Team size and structure +- Any relevant constraints or context] + +--- + +## Individual Member Reviews + +[Insert each member's review using the format from references/review-process.md] + +### [Member Name] - [Title] + +**Perspective**: [Their unique viewpoint] + +#### Key Observations +- [Observation 1] +- [Observation 2] + +#### Strengths +1. **[Strength]**: [Description] + +#### Concerns +1. **[Concern]** (Impact: High/Medium/Low) + - **Issue**: [What's wrong] + - **Why it matters**: [Impact] + - **Recommendation**: [What to do] + +#### Recommendations +1. **[Recommendation]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) + - **What**: [Action] + - **Why**: [Benefit] + - **How**: [Approach] + +[If pragmatic mode enabled, add Pragmatic Enforcer Analysis section here - see references/pragmatic-integration.md] + +[Repeat for each member] + +--- + +## Collaborative Discussion + +[Synthesize findings from all members. Show how different perspectives interact and what consensus emerges.] + +**Opening Context**: + +**[Systems Architect]**: "[Opening statement]" + +**[Domain Expert]**: "[Response or complementary view]" + +[Continue natural discussion flow between members] + +### Common Ground + +The team agrees on: +1. [Consensus point 1] +2. [Consensus point 2] +3. [Consensus point 3] + +### Areas of Debate + +**Topic: [Topic Title]** +- **[Member 1]**: [Their position and reasoning] +- **[Member 2]**: [Their position and reasoning] +- **Resolution**: [How team reconciles different views] + +### Priorities Established + +**Critical (Address Immediately)**: +1. [Critical priority with brief justification] +2. [Critical priority] + +**Important (Address Soon)**: +1. [Important priority] +2. [Important priority] + +**Nice-to-Have (Consider Later)**: +1. [Nice-to-have improvement] +2. [Nice-to-have improvement] + +--- + +## Consolidated Findings + +### Strengths + +1. **[Strength Title]**: [Description of what's working well, why it's valuable, and how to sustain it] +2. **[Strength Title]**: [Description] +3. **[Strength Title]**: [Description] + +[Aim for 4-7 key strengths] + +### Areas for Improvement + +1. **[Area Title]**: + - **Current state**: [What exists now] + - **Desired state**: [What it should be] + - **Gap**: [What's missing] + - **Priority**: High | Medium | Low + - **Impact**: [Why this matters] + +2. **[Area Title]**: [Details] + +[Aim for 5-10 areas depending on review scope] + +### Technical Debt + +**High Priority**: +- **[Debt Item]**: + - **Impact**: [How it affects development/operations] + - **Resolution**: [What needs to be done] + - **Effort**: Small | Medium | Large + - **Recommended Timeline**: [When to address] + +**Medium Priority**: +- **[Debt Item]**: [Details] + +**Low Priority**: +- **[Debt Item]**: [Details] + +### Risks + +**Technical Risks**: +- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [What could go wrong] + - **Mitigation**: [How to reduce or eliminate risk] + - **Owner**: [Who should monitor/address] + +**Business Risks**: +- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [Business impact] + - **Mitigation**: [How to address] + +**Operational Risks**: +- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [Operations/reliability concern] + - **Mitigation**: [How to address] + +--- + +## Recommendations + +### Immediate (0-2 weeks) + +1. **[Action Title]** + - **Why**: [Problem being solved or value being created] + - **How**: [High-level implementation approach] + - **Owner**: [Team or person responsible] + - **Success Criteria**: [How to know it's done successfully] + - **Estimated Effort**: [Time or story points] + +2. **[Action Title]**: [Details] + +### Short-term (2-8 weeks) + +1. **[Action Title]** + - **Why**: [Justification] + - **How**: [Approach] + - **Owner**: [Responsible party] + - **Success Criteria**: [Completion criteria] + - **Estimated Effort**: [Effort estimate] + +2. **[Action Title]**: [Details] + +### Long-term (2-6 months) + +1. **[Action Title]** + - **Why**: [Strategic value or risk mitigation] + - **How**: [High-level roadmap] + - **Owner**: [Responsible party] + - **Success Criteria**: [Long-term goals] + - **Estimated Effort**: [Effort estimate] + +2. **[Action Title]**: [Details] + +--- + +## Success Metrics + +Define measurable criteria to track improvement: + +1. **[Metric Name]**: + - **Current**: [Current value] + - **Target**: [Target value] + - **Timeline**: [When to achieve] + - **Measurement**: [How to measure] + +2. **[Metric Name]**: Current → Target (Timeline) + +3. **[Metric Name]**: Current → Target (Timeline) + +[Examples: +- Test Coverage: 45% → 75% (3 months) +- Build Time: 15 min → 5 min (6 weeks) +- P95 Response Time: 500ms → 200ms (2 months) +- Code Review Time: 2 days → 4 hours (1 month) +] + +--- + +## Follow-up + +**Next Review**: [Specific date or milestone] + +**Tracking**: [How recommendations will be tracked] +- Create GitHub issues for immediate actions +- Add to sprint backlog +- Use architecture recalibration process (see below) + +**Recalibration**: +After implementing recommendations, conduct architecture recalibration to assess progress: +``` +"Start architecture recalibration for [target]" +``` + +**Accountability**: +- [Who is responsible for tracking implementation] +- [How often to check progress - weekly, bi-weekly, etc.] +- [Where to document status updates] + +--- + +## Related Documentation + +**Architectural Decision Records**: +- [ADR-XXX: Title](../decisions/adrs/ADR-XXX-title.md) - [How it relates to this review] +- [ADR-YYY: Title](../decisions/adrs/ADR-YYY-title.md) - [Relationship] + +**Previous Reviews**: +- [Previous review filename] - [Date] - [How architecture has evolved since then] + +**Referenced Documents**: +- [Document title] - [Link] - [Relevance] + +--- + +## Appendix + +### Review Methodology + +This review was conducted using the AI Software Architect framework with the following team members: + +- **Systems Architect**: Overall system coherence and patterns +- **Domain Expert**: Business domain representation +- **Security Specialist**: Security analysis and threat modeling +- **Performance Specialist**: Performance and scalability +- **Maintainability Expert**: Code quality and technical debt +- [Additional members as applicable] + +Each member reviewed independently, then collaborated to synthesize findings and prioritize recommendations. + +[If pragmatic mode was enabled, note:] +**Pragmatic Mode**: [Strict | Balanced | Lenient] +- Complexity ratio target: [<1.0 | <1.5 | <2.0] +- All recommendations evaluated through YAGNI lens + +### Glossary + +[If needed, define domain-specific terms or acronyms used in the review] + +- **[Term]**: [Definition] +- **[Acronym]**: [Expansion and meaning] + +--- + +**Review Complete** diff --git a/.agents/skills/architecture-review/references/pragmatic-integration.md b/.agents/skills/architecture-review/references/pragmatic-integration.md new file mode 100644 index 0000000..169d152 --- /dev/null +++ b/.agents/skills/architecture-review/references/pragmatic-integration.md @@ -0,0 +1,298 @@ +# Pragmatic Mode Integration for Architecture Reviews + +This document describes how to integrate Pragmatic Enforcer analysis when pragmatic mode is enabled in `.architecture/config.yml`. + +## When to Include Pragmatic Analysis + +**Check Configuration**: Read `.architecture/config.yml`: + +```yaml +pragmatic_mode: + enabled: true + intensity: strict | balanced | lenient + applies_to: + - reviews + - adrs + - implementation +``` + +**If `pragmatic_mode.enabled == true` AND `reviews` is in `applies_to`**: Include Pragmatic Enforcer as a reviewer. + +--- + +## Pragmatic Enforcer Review Format + +The Pragmatic Enforcer reviews each member's recommendations through a YAGNI (You Aren't Gonna Need It) lens. + +### After Each Member's Review + +Add this analysis section immediately following each member's recommendations: + +```markdown +#### Pragmatic Enforcer Analysis + +**Reviewer**: Pragmatic Enforcer +**Mode**: [Strict | Balanced | Lenient] + +[For each recommendation from this member, apply pragmatic analysis] + +##### Recommendation: [Recommendation Title] + +**Necessity Assessment** (0-10): +- **Current need**: [Is this addressing a current, concrete problem?] +- **Future need**: [Likelihood and timeframe for actually needing this] +- **Cost of waiting**: [What breaks if we defer? What's the cost of implementing later?] +- **Evidence of need**: [What concrete evidence justifies this now?] +- **Score**: [X/10] + +**Complexity Assessment** (0-10): +- **Added complexity**: [What complexity does this introduce?] +- **Maintenance burden**: [Ongoing cost to maintain this] +- **Learning curve**: [Impact on team understanding] +- **Dependencies introduced**: [New dependencies or abstractions] +- **Score**: [X/10] + +**Simpler Alternative**: +[Propose a simpler approach that meets current actual requirements, or explain why this is already minimal] + +**Pragmatic Recommendation**: +- ✅ **Implement now**: [Clear current need, appropriate complexity] +- ⚠️ **Simplified version**: [Implement minimal version, defer bells and whistles] +- ⏸️ **Defer**: [Wait for trigger conditions] +- ❌ **Skip**: [Not needed, over-engineering] + +**Justification**: [Clear reasoning for recommendation] + +**If Deferring**: +- **Trigger conditions**: [What would trigger implementing this?] +- **Minimal viable alternative**: [What's the simplest thing that could work now?] + +**Pragmatic Score**: +- Necessity: [X/10] +- Complexity: [X/10] +- Ratio: [Complexity/Necessity = X.X] + +**Target Ratios by Mode**: +- Strict: <1.0 (complexity should be less than necessity) +- Balanced: <1.5 (moderate complexity acceptable for clear need) +- Lenient: <2.0 (higher complexity tolerated for strategic value) + +**Assessment**: [Appropriate engineering | Over-engineering | Under-engineering] +``` + +--- + +## Pragmatic Mode Intensity Levels + +### Strict Mode (Ratio Target: <1.0) + +**Philosophy**: Only implement what's absolutely necessary right now. + +**Approach**: +- Challenge every abstraction +- Defer anything speculative +- Require concrete evidence of current need +- Favor simple, direct solutions +- Question best practices if not clearly applicable + +**Use When**: Tight timeline, small team, MVP, prototyping + +### Balanced Mode (Ratio Target: <1.5) + +**Philosophy**: Implement current needs thoughtfully with reasonable future considerations. + +**Approach**: +- Allow appropriate abstractions +- Defer obvious speculation +- Accept moderate complexity for clear benefits +- Balance pragmatism with code quality +- Apply best practices when they add clear value + +**Use When**: Normal development, sustainable pace, balanced priorities + +### Lenient Mode (Ratio Target: <2.0) + +**Philosophy**: Allow strategic complexity for longer-term benefits. + +**Approach**: +- Permit forward-looking designs +- Accept abstractions for anticipated growth +- Allow higher complexity for strategic value +- Consider longer time horizons +- Apply best practices proactively + +**Use When**: Building platforms, long-term projects, infrastructure + +--- + +## Examples of Pragmatic Analysis + +### Example 1: Caching Layer Recommendation (Balanced Mode) + +**Original Recommendation**: "Add Redis caching layer for all database queries" + +**Pragmatic Analysis**: + +**Necessity Assessment**: 7/10 +- Current need: Page load times are 500ms, target is <200ms +- Future need: Traffic growing 20% monthly +- Cost of waiting: User experience degrading, churn risk +- Evidence: Metrics show 60% of queries are duplicate reads +- Score: 7/10 + +**Complexity Assessment**: 6/10 +- Added complexity: New Redis dependency, cache invalidation logic +- Maintenance: Cache coherency, Redis ops, monitoring +- Learning curve: Team familiar with Redis +- Dependencies: Redis server, connection pooling +- Score: 6/10 + +**Simpler Alternative**: +Start with application-level caching (LRU cache in memory) for hot queries only. Add Redis when in-memory is insufficient. + +**Pragmatic Recommendation**: ⚠️ **Simplified version** + +**Justification**: Current need is clear (7/10) but complexity is moderate (6/10). Start simpler with in-memory caching for most impactful queries. This delivers 80% of benefit with 30% of complexity. Upgrade to Redis when evidence shows memory caching is insufficient. + +**Pragmatic Score**: +- Necessity: 7/10 +- Complexity: 6/10 +- Ratio: 0.86 (<1.5 threshold = acceptable if simplified) + +**Assessment**: Appropriate engineering with simplification + +--- + +### Example 2: Microservices Architecture (Balanced Mode) + +**Original Recommendation**: "Split monolith into 12 microservices" + +**Pragmatic Analysis**: + +**Necessity Assessment**: 3/10 +- Current need: Monolith works, no deployment bottlenecks +- Future need: "Might scale better" - speculative +- Cost of waiting: None - can extract services when bottlenecks emerge +- Evidence: No concrete scaling problems, 2-person team +- Score: 3/10 + +**Complexity Assessment**: 9/10 +- Added complexity: Service boundaries, inter-service communication, distributed tracing, API versioning +- Maintenance: 12 services to deploy, monitor, debug +- Learning curve: Team inexperienced with distributed systems +- Dependencies: Service mesh, API gateway, distributed monitoring +- Score: 9/10 + +**Simpler Alternative**: +Keep monolith. Extract services only when you have concrete evidence of bottlenecks. Start with 1-2 services for proven pain points. + +**Pragmatic Recommendation**: ❌ **Skip** + +**Justification**: Massive complexity (9/10) with minimal current need (3/10). This is premature optimization and over-engineering. Wait for actual scaling problems before adding distributed systems complexity. + +**If Deferring**: +- **Trigger conditions**: Deploy time >30 min, scaling bottlenecks measured, >5 developers working in same code +- **Minimal alternative**: Keep monolith, use modules for internal boundaries + +**Pragmatic Score**: +- Necessity: 3/10 +- Complexity: 9/10 +- Ratio: 3.0 (>> 1.5 threshold = over-engineering) + +**Assessment**: Over-engineering - defer + +--- + +### Example 3: Security Vulnerability Fix (Any Mode) + +**Original Recommendation**: "Fix SQL injection vulnerability in login endpoint" + +**Pragmatic Analysis**: + +**Necessity Assessment**: 10/10 +- Current need: Critical security vulnerability +- Future need: N/A - needed now +- Cost of waiting: Data breach, compliance violation +- Evidence: Security audit found SQL injection +- Score: 10/10 + +**Complexity Assessment**: 2/10 +- Added complexity: Use parameterized queries (standard practice) +- Maintenance: Reduces maintenance risk +- Learning curve: None - team knows parameterized queries +- Dependencies: None +- Score: 2/10 + +**Simpler Alternative**: None - this IS the simple solution + +**Pragmatic Recommendation**: ✅ **Implement now** + +**Justification**: Critical necessity (10/10) with minimal complexity (2/10). No debate - implement immediately. + +**Pragmatic Score**: +- Necessity: 10/10 +- Complexity: 2/10 +- Ratio: 0.2 (<< 1.5 threshold) + +**Assessment**: Essential engineering + +--- + +## Integration in Collaborative Discussion + +During collaborative discussion, the Pragmatic Enforcer should: + +1. **Challenge Complexity**: Question whether proposed solutions are minimal +2. **Require Evidence**: Ask for concrete evidence of need, not speculation +3. **Propose Simplifications**: Suggest simpler alternatives for consideration +4. **Balance Views**: Acknowledge when complexity is justified +5. **Set Priorities**: Help team focus on high-impact, low-complexity wins + +### Example Discussion Snippet + +```markdown +**Security Specialist**: "We should implement zero-trust architecture across all services." + +**Pragmatic Enforcer**: "I see the security value, but that's significant complexity. What's the current threat? Can we start with authentication boundaries on public APIs first, then expand if we see attack patterns?" + +**Security Specialist**: "Fair point. We have had unauthorized access attempts on the admin API but internal services haven't been targeted. Starting with API gateway auth would address 90% of current risk." + +**Systems Architect**: "Agreed - that's a more measured approach. Zero-trust can be part of our roadmap once we have evidence it's needed." +``` + +--- + +## Exemptions from Pragmatic Analysis + +Certain recommendations should NOT be challenged by pragmatic mode: + +1. **Security Vulnerabilities**: Critical security fixes always implement +2. **Compliance Requirements**: Legal/regulatory requirements are non-negotiable +3. **Accessibility Issues**: User accessibility is not optional +4. **Data Loss Risks**: Anything preventing data loss is critical +5. **Explicit User Request**: If user specifically asked for something, honor it + +**In config.yml**: +```yaml +pragmatic_mode: + exemptions: + - security + - compliance + - accessibility + - data_loss_prevention +``` + +--- + +## Summary + +Pragmatic mode adds a critical YAGNI perspective to architecture reviews: + +- ✅ Prevents over-engineering +- ✅ Focuses team on current actual needs +- ✅ Identifies simpler alternatives +- ✅ Provides evidence-based decision framework +- ⚠️ Must be balanced with quality and foresight +- ⚠️ Not a blanket "no" to all abstractions + +Use pragmatic analysis to ensure architecture reviews lead to appropriate, not excessive, engineering. diff --git a/.agents/skills/architecture-review/references/review-process.md b/.agents/skills/architecture-review/references/review-process.md new file mode 100644 index 0000000..a36aea1 --- /dev/null +++ b/.agents/skills/architecture-review/references/review-process.md @@ -0,0 +1,241 @@ +# Architecture Review Process - Detailed Guide + +This document provides detailed instructions for conducting architecture reviews with all team members. + +## Table of Contents + +1. [Individual Member Review Format](#individual-member-review-format) +2. [Collaborative Discussion Process](#collaborative-discussion-process) +3. [Analysis Guidelines by Review Type](#analysis-guidelines-by-review-type) + +--- + +## Individual Member Review Format + +Each member from `.architecture/members.yml` should review from their unique perspective using this structure: + +### Review Template + +```markdown +### [Member Name] - [Title] + +**Perspective**: [Their unique viewpoint from members.yml] + +#### Key Observations +- [Observation 1 - Specific finding about the system] +- [Observation 2 - Another specific finding] +- [Continue with notable observations] + +#### Strengths +1. **[Strength Title]**: [Detailed description of what's working well and why it matters] +2. **[Strength Title]**: [Description] +3. [Continue with strengths - aim for 3-5 key strengths] + +#### Concerns +1. **[Concern Title]** (Impact: High | Medium | Low) + - **Issue**: [Clear description of what's wrong or could be improved] + - **Why it matters**: [Impact on system, users, or development] + - **Recommendation**: [Specific actionable recommendation] + +2. **[Concern Title]** (Impact: High | Medium | Low) + - **Issue**: [Description] + - **Why it matters**: [Impact] + - **Recommendation**: [Action] + +[Continue with concerns - prioritize by impact] + +#### Recommendations +1. **[Recommendation Title]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) + - **What**: [What to do] + - **Why**: [Benefit or risk addressed] + - **How**: [Brief implementation approach] + +2. **[Recommendation Title]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) + - [Details] + +[Continue with recommendations - 3-7 recommendations per member] +``` + +### Member-Specific Guidance + +**Systems Architect**: +- Focus on overall system coherence and architectural patterns +- Evaluate component interactions and integration points +- Assess alignment with architectural principles +- Consider long-term evolvability + +**Domain Expert**: +- Review how well architecture represents business domain +- Evaluate bounded contexts and domain model accuracy +- Check ubiquitous language usage +- Assess semantic correctness + +**Security Specialist**: +- Identify security vulnerabilities and threats +- Evaluate authentication, authorization, encryption +- Review data protection and privacy considerations +- Assess security boundaries and attack surface + +**Performance Specialist**: +- Identify performance bottlenecks +- Evaluate scalability patterns +- Review resource utilization +- Assess caching, optimization opportunities + +**Maintainability Expert**: +- Evaluate code organization and clarity +- Assess technical debt +- Review complexity and coupling +- Consider developer experience + +**AI Engineer** (if applicable): +- Review AI/ML integration patterns +- Evaluate LLM application design +- Assess agent orchestration +- Review observability and evaluation + +**Pragmatic Enforcer** (if pragmatic mode enabled): +- See [pragmatic-integration.md](./pragmatic-integration.md) for detailed process + +--- + +## Collaborative Discussion Process + +After individual reviews, simulate a discussion between members to synthesize findings. + +### Discussion Structure + +```markdown +## Collaborative Discussion + +**[Systems Architect]**: "[Opening statement about overall architecture]" + +**[Domain Expert]**: "[Response or complementary view from domain perspective]" + +**[Security Specialist]**: "[Security concerns or validation]" + +[Continue discussion flow naturally] + +### Common Ground + +Team members agree on: +1. [Consensus point 1] +2. [Consensus point 2] +3. [Consensus point 3] + +### Areas of Debate + +**Topic: [Topic Title]** +- **[Member 1]**: [Their position] +- **[Member 2]**: [Their position] +- **Resolution**: [How team resolves or agrees to disagree] + +### Priorities Established + +The team agrees on these priorities: + +**Critical (Address Immediately)**: +1. [Critical priority] +2. [Critical priority] + +**Important (Address Soon)**: +1. [Important priority] +2. [Important priority] + +**Nice-to-Have (Consider Later)**: +1. [Nice-to-have] +2. [Nice-to-have] +``` + +### Discussion Best Practices + +1. **Cross-Reference Findings**: Members should reference and build on each other's observations +2. **Resolve Conflicts**: When members disagree, discuss trade-offs and reach consensus +3. **Prioritize Together**: Collaborate to rank recommendations by urgency and impact +4. **Be Realistic**: Consider project constraints, deadlines, and team capacity +5. **Stay Constructive**: Frame concerns as improvement opportunities + +--- + +## Analysis Guidelines by Review Type + +### Version Reviews + +**Focus on**: +- Overall architecture health at this milestone +- Components and their interactions +- Patterns and consistency +- Technical debt accumulated +- ADRs implemented or needed +- Alignment with original architecture vision + +**Key Questions**: +- Is the architecture still coherent as system has evolved? +- What technical debt needs addressing before next version? +- Are architectural principles being followed? +- What risks should be mitigated? + +### Feature Reviews + +**Focus on**: +- Feature implementation approach +- Integration with existing architecture +- Data flow and state management +- Security implications +- Performance impact +- Test coverage + +**Key Questions**: +- Does this feature fit the existing architecture? +- Are there better architectural approaches? +- What are the integration risks? +- How does this impact scalability? + +### Component Reviews + +**Focus on**: +- Component architecture and structure +- Dependencies and coupling +- Boundaries and interfaces +- Responsibilities and cohesion +- Testability + +**Key Questions**: +- Is component well-designed and focused? +- Are boundaries clear and appropriate? +- Is it properly decoupled? +- Does it follow single responsibility principle? + +--- + +## Tips for High-Quality Reviews + +### Be Specific +- ❌ "The code is messy" +- ✅ "The `UserService` class has 15 methods mixing authentication, authorization, and profile management - violates single responsibility" + +### Provide Context +- ❌ "Add caching" +- ✅ "Add Redis caching for user profile queries - currently hitting DB 50+ times per page load causing 200ms delays" + +### Suggest Solutions +- ❌ "Performance is bad" +- ✅ "Batch database queries in `OrderProcessor.process()` to reduce N+1 queries - should improve processing time by 70%" + +### Balance Positive and Negative +- Don't just list problems +- Recognize what's working well +- Explain why good patterns should be sustained + +### Be Actionable +- Every concern should have a recommendation +- Recommendations should be concrete and implementable +- Estimate effort (Small/Medium/Large) and priority (High/Medium/Low) + +--- + +## Reference Documentation + +For the full review document template, see [../assets/review-template.md](../assets/review-template.md). + +For pragmatic mode integration, see [pragmatic-integration.md](./pragmatic-integration.md). diff --git a/.agents/skills/architecture-status/SKILL.md b/.agents/skills/architecture-status/SKILL.md new file mode 100644 index 0000000..fc7c789 --- /dev/null +++ b/.agents/skills/architecture-status/SKILL.md @@ -0,0 +1,230 @@ +--- +name: architecture-status +description: Reports on the health and state of architecture documentation (counts of ADRs, reviews, activity levels, documentation gaps). Use when the user asks "What's our architecture status?", "Show architecture documentation", "How many ADRs do we have?", "What decisions are documented?", "Architecture health check", or wants an overview/summary of documentation state. Do NOT use for listing team members (use list-members), creating new documents (use create-adr), or conducting reviews (use architecture-review or specialist-review). +allowed-tools: Read,Glob,Grep +--- + +# Architecture Status + +Provides overview of architecture documentation state. + +## Process + +### 1. Check Framework Setup +If `.architecture/` doesn't exist: +``` +The AI Software Architect framework is not set up yet. + +To get started: "Setup ai-software-architect" + +Once set up, you'll have: +- Architectural Decision Records (ADRs) +- Architecture reviews +- Specialist reviews +- Recalibration tracking +``` + +### 2. Gather Information +Collect from `.architecture/`: +- **ADRs**: Count files in `decisions/adrs/`, note recent ones, check statuses +- **Reviews**: Count files in `reviews/`, categorize (version/feature/specialist/initial) +- **Recalibration**: Count files in `recalibration/`, check progress docs +- **Comparisons**: List files in `comparisons/` +- **Team**: Count members in `members.yml` +- **Last Activity**: Most recent date from any document + +### 3. Generate Status Report +```markdown +# Architecture Framework Status + +**Report Date**: [Date] +**Project**: [Project name if known] + +## Summary + +**Health Status**: Excellent | Good | Needs Attention | Inactive + +**Key Metrics**: +- ADRs: [count] +- Reviews: [count] +- Recalibration Plans: [count] +- Team Members: [count] +- Last Activity: [Date] + +## Architectural Decision Records + +**Total**: [count] + +**Recent ADRs**: +1. ADR-[XXX]: [Title] ([Status], [Date]) +2. ADR-[YYY]: [Title] ([Status], [Date]) +[List 5-10 most recent] + +**By Status**: +- ✅ Accepted: [count] +- 🔄 Proposed: [count] +- ⚠️ Deprecated: [count] +- 🔀 Superseded: [count] + +**Coverage**: [Main areas covered: Data, Security, Infrastructure, etc.] + +## Architecture Reviews + +**Total**: [count] + +**Version Reviews**: [List with dates] +**Feature Reviews**: [List with dates] +**Specialist Reviews**: [List with dates] + +**Most Recent**: [Title] ([Date]) + +## Recalibration + +**Total Documents**: [count] + +**Active**: +1. [Target]: [Status], [Completion %] + +**Status**: +- ✅ Completed: [count] +- 🔄 In Progress: [count] +- 📋 Planned: [count] + +## Architecture Team + +**Total Members**: [count] + +**Team**: [List member titles] + +**Coverage**: Security ([count]), Performance ([count]), System Design ([count]), etc. + +**View full roster**: "List architecture members" + +## Activity + +**Recent**: +- [Date]: Created ADR-XXX: [Title] +- [Date]: Completed review for [target] +- [Date]: [Activity] + +**Level**: High | Medium | Low | Inactive + +## Documentation Health + +**Completeness**: [X%] + +**Strengths**: +- ✅ [What's well documented] + +**Gaps**: +- ⚠️ [What needs attention] + +**Recommendations**: +1. [Recommendation 1] +2. [Recommendation 2] + +## Quick Actions + +**Create**: +- "Create ADR for [decision]" +- "Start architecture review for [version/feature]" +- "Ask [specialist] to review [target]" + +**View**: +- "List architecture members" +- [Specific docs to review based on status] + +**Update**: +- [Actions based on current state] + +--- +``` + +### 4. Analyze Health +**Health indicators**: +- **Excellent**: Regular ADRs, recent reviews, active recalibration +- **Good**: Some ADRs, occasional reviews +- **Needs Attention**: Old docs, no recent activity +- **Inactive**: Framework unused + +### 5. Provide Recommendations +**Based on status**: + +**If well-maintained**: +``` +✅ Excellent documentation discipline! + +Keep momentum: +- Continue documenting decisions +- Regular reviews (quarterly/before releases) +- Track recalibration progress +``` + +**If partially used**: +``` +⚠️ Good foundations, room for improvement. + +Suggestions: +- Document 3-5 key decisions as ADRs +- Schedule architecture review +- Address review findings +``` + +**If minimal usage**: +``` +❌ Framework underutilized. + +Get started: +1. Document your most important decisions as ADRs +2. Conduct initial architecture review +3. Make documentation a regular habit +``` + +### 6. Make It Actionable +Always end with: +- Specific commands to run +- Concrete actions to improve +- Examples relevant to their status + +## Metrics to Track + +**Volume**: Total ADRs, reviews, recalibration docs, team members +**Activity**: Last update, docs per month, active vs completed +**Coverage**: Decision areas, review types, specialist expertise +**Health**: Documentation completeness, review frequency, progress tracking + +## Error Handling +- No `.architecture/`: Offer setup +- Permission issues: Report and suggest fixes +- Corrupted files: Note which have issues +- Empty directories: Suggest starting points + +## Related Skills + +**Based on Status Results**: + +**If Documentation Gaps Found**: +- "Create ADR for [missing decision]" - Fill documentation gaps +- "Start architecture review for [area]" - Comprehensive assessment +- "Ask [specialist] to review [weak area]" - Focused improvement + +**If Status is Good**: +- "List architecture members" - See your active team +- Continue regular documentation practices +- Schedule periodic reviews + +**Regular Workflow**: +1. Start work → "What's our architecture status?" → Identify gaps +2. Make changes → Document with ADRs → Status check to verify +3. Before release → Status check → Architecture review → Address findings + +**Workflow Examples**: +1. Status check → Find 0 ADRs → Create ADRs for key decisions → Status check shows progress +2. Status check → See old reviews → Request new architecture review → Update status +3. Weekly: Status check → Track documentation health → Maintain good practices + +## Notes +- Be honest but encouraging +- Focus on actionable next steps +- Show value of maintained documentation +- Adapt tone to current state diff --git a/.agents/skills/create-adr/SKILL.md b/.agents/skills/create-adr/SKILL.md new file mode 100644 index 0000000..b426ca3 --- /dev/null +++ b/.agents/skills/create-adr/SKILL.md @@ -0,0 +1,122 @@ +--- +name: create-adr +description: Creates a NEW Architectural Decision Record (ADR) documenting a specific architectural decision. Use when the user requests "Create ADR for [topic]", "Document decision about [topic]", "Write ADR for [choice]", or when documenting technology choices, patterns, or architectural approaches. Do NOT use for reviews (use architecture-review or specialist-review), checking existing ADRs (use architecture-status), or general documentation. +allowed-tools: Read,Write,Bash(ls:*,grep:*) +--- + +# Create Architectural Decision Record (ADR) + +Creates structured ADRs following the framework's template. + +## Process + +### 1. Gather Context +Ask if needed: +- What decision is being made? +- What problem does it solve? +- What alternatives were considered? +- What are the trade-offs? + +### 2. Generate ADR Number +```bash +# Find highest ADR number +ls .architecture/decisions/adrs/ | grep -E "^ADR-[0-9]+" | sed 's/ADR-//' | sed 's/-.*//' | sort -n | tail -1 +``` +New ADR = next sequential number (e.g., if highest is 003, create 004) + +### 3. Validate and Sanitize Input +**Security**: Sanitize user input to prevent path traversal and injection: +- Remove or replace: `..`, `/`, `\`, null bytes, control characters +- Convert to lowercase kebab-case: spaces → hyphens, remove special chars +- Limit length: max 80 characters for filename portion +- Validate result: ensure filename contains only [a-z0-9-] + +### 4. Create Filename +Format: `ADR-XXX-kebab-case-title.md` + +Examples: +- `ADR-001-use-react-for-frontend.md` +- `ADR-002-choose-postgresql-database.md` + +**Valid input**: "Use React for Frontend" → `use-react-for-frontend` +**Invalid blocked**: "../etc/passwd" → sanitized or rejected + +### 5. Check Configuration +- Read `.architecture/config.yml` to check if pragmatic_mode is enabled +- If enabled and applies to ADR creation, include Pragmatic Enforcer analysis + +### 6. Write ADR +Use the template from `.architecture/templates/adr-template.md`: + +**Core sections**: +- Status, Context, Decision Drivers, Decision, Consequences +- Implementation, Alternatives Considered, Validation, References + +**If pragmatic_mode is enabled**: Add Pragmatic Enforcer Analysis section: +- Necessity Assessment (0-10): Current need, future need, cost of waiting, evidence +- Complexity Assessment (0-10): Added complexity, maintenance, learning curve, dependencies +- Alternative Analysis: Review if simpler alternatives adequately considered +- Simpler Alternative Proposal: Concrete proposal for simpler approach +- Recommendation: Approve / Approve with simplifications / Defer / Recommend against +- Pragmatic Score: Necessity, Complexity, Ratio (target <1.5) +- Overall Assessment: Appropriate engineering vs over-engineering + +**If deferrals enabled**: Track deferred decisions in `.architecture/deferrals.md` + +### 7. Save ADR +Write to: `.architecture/decisions/adrs/ADR-XXX-title.md` + +### 8. Report to User +``` +Created ADR-XXX: [Title] + +Location: .architecture/decisions/adrs/ADR-XXX-title.md +Status: [Status] + +Key Points: +- Decision: [Summary] +- Main benefit: [Key benefit] +- Main trade-off: [Key trade-off] + +Next Steps: +- [Immediate action 1] +- [Immediate action 2] +``` + +## When to Create ADRs +**Do create for**: +- Technology choices (frameworks, databases, languages) +- Architectural patterns (microservices, event-driven, etc.) +- Infrastructure decisions (cloud provider, deployment) +- Security approaches (authentication, encryption) + +**Don't create for**: +- Implementation details (function names, variable names) +- Temporary decisions +- Minor decisions with limited impact + +## Status Lifecycle +- **Proposed**: Documented but not approved +- **Accepted**: Approved and should be implemented +- **Deprecated**: No longer best practice +- **Superseded**: Replaced by newer ADR (reference it) + +## Related Skills + +**Before Creating ADR**: +- "What's our architecture status?" - Check existing ADRs to avoid duplication +- "List architecture members" - See who should review the decision + +**After Creating ADR**: +- "Ask [specialist] to review [the ADR]" - Get focused expert review +- "Start architecture review for [version]" - Include in comprehensive review + +**Workflow Examples**: +1. Create ADR → Ask Security Specialist to review → Revise ADR +2. Architecture review → Create ADRs for key decisions → Status check + +## Notes +- Focus on "why" more than "what" +- Be honest about trade-offs +- Keep it concise but complete +- ADRs can be updated as new information emerges diff --git a/.agents/skills/list-members/SKILL.md b/.agents/skills/list-members/SKILL.md new file mode 100644 index 0000000..92f390f --- /dev/null +++ b/.agents/skills/list-members/SKILL.md @@ -0,0 +1,175 @@ +--- +name: list-members +description: Displays the roster of architecture team members with their specialties and expertise areas. Use when the user asks "Who's on the architecture team?", "List architecture members", "Show me the architects", "What specialists are available?", "Who can I ask for reviews?", or wants to discover available experts. Do NOT use for requesting reviews (use specialist-review or architecture-review) or checking documentation status (use architecture-status). +allowed-tools: Read +--- + +# List Architecture Members + +Displays all architecture team members and their expertise areas. + +## Process + +### 1. Check Setup +If `.architecture/members.yml` doesn't exist: +``` +The AI Software Architect framework hasn't been set up yet. + +To get started: "Setup ai-software-architect" +``` + +### 2. Load Members +Read `.architecture/members.yml` and parse all members (id, name, title, specialties, disciplines, skillsets, domains, perspective). + +### 3. Display Team Roster +```markdown +# Architecture Team Members + +Your AI Software Architect team consists of [count] specialized reviewers. + +Total Members: [count] + +--- + +## Team Roster + +### [Member 1 Name] - [Member 1 Title] + +**ID**: `[member_id]` + +**Specialties**: [Specialty 1], [Specialty 2], [Specialty 3] + +**Disciplines**: [Discipline 1], [Discipline 2] + +**Domains**: [Domain 1], [Domain 2], [Domain 3] + +**Perspective**: [Their unique perspective] + +**Request review**: `Ask [Member Title] to review [your target]` + +--- + +[Repeat for all members] + +--- + +## Quick Reference + +**Specialist reviews**: +- `Ask [Specialist Title] to review [target]` + +**Examples**: +- "Ask Security Specialist to review authentication" +- "Ask Performance Specialist to review database queries" +- "Ask [Your Specialist] to review [anything]" + +**Full architecture review**: +- `Start architecture review for version X.Y.Z` + +**Other commands**: +- `Create ADR for [decision topic]` +- `What's our architecture status?` + +--- + +## Team by Specialty + +[Group members by their primary domains/specialties] + +**Security & Compliance**: [Members] +**Performance & Scalability**: [Members] +**Code Quality & Maintainability**: [Members] +**Domain & Business Logic**: [Members] +**System Design & Architecture**: [Members] +**Technology-Specific**: [Members] + +--- + +## Adding New Members + +Request a review from any specialist, even if they don't exist: +- "Ask Ruby Expert to review my modules" +- "Have Accessibility Expert review forms" + +I'll create the specialist and add them to your team automatically. + +Or manually edit `.architecture/members.yml` and add: +```yaml +- id: your_specialist_id + name: "[Name]" + title: "[Title]" + specialties: ["[Specialty 1]", "[Specialty 2]"] + disciplines: ["[Discipline 1]", "[Discipline 2]"] + skillsets: ["[Skill 1]", "[Skill 2]"] + domains: ["[Domain 1]", "[Domain 2]"] + perspective: "[Brief description]" +``` + +--- + +## Using the Team + +**For focused reviews** (specific expertise): +``` +Ask [Specialist] to review [target] +``` +Fast turnaround, targeted insights + +**For comprehensive reviews** (all perspectives): +``` +Start architecture review for [version/feature] +``` +All members review, collaborative discussion + +**For decisions**: +``` +Create ADR for [decision topic] +``` +Document decisions with team input + +--- +``` + +### 4. Provide Context +After listing: +- Explain when to use specialist vs full reviews +- Show how to add new members dynamically +- Provide usage examples +- Suggest next steps + +## Example Output Summary +After showing full roster, provide a concise summary: +``` +Ready to use your architecture team: +- [N] specialists available +- Request reviews: "Ask [specialist] to review [target]" +- Add new specialists: Just ask for them by name +- Full review: "Start architecture review for [scope]" +``` + +## Error Handling +- No `.architecture/`: Offer setup instructions +- Empty `members.yml`: Show default team and offer setup +- Malformed YAML: Show what's parseable, note issues + +## Related Skills + +**After Listing Members**: +- "Ask [specialist] to review [target]" - Request focused expert review +- "Start architecture review for [scope]" - Comprehensive review with all members +- "What's our architecture status?" - See how team has been used + +**When Adding Members**: +- Just request a specialist that doesn't exist - they'll be created automatically +- "Setup ai-software-architect" - Adds members based on your tech stack + +**Workflow Examples**: +1. List members → Identify relevant specialist → Request review +2. Need new expertise → Request it → Specialist auto-created → List to verify +3. Status check → List members → Review with specific specialists + +## Notes +- Keep presentation clear and scannable +- Make it actionable with specific commands +- Encourage exploration and usage +- Explain that team can grow dynamically diff --git a/.agents/skills/pragmatic-guard/SKILL.md b/.agents/skills/pragmatic-guard/SKILL.md new file mode 100644 index 0000000..66c1ef3 --- /dev/null +++ b/.agents/skills/pragmatic-guard/SKILL.md @@ -0,0 +1,152 @@ +--- +name: pragmatic-guard +description: Enables and configures Pragmatic Guard Mode (YAGNI Enforcement) to prevent over-engineering. Use when the user requests "Enable pragmatic mode", "Turn on YAGNI enforcement", "Activate simplicity guard", "Challenge complexity", or similar phrases. +allowed-tools: Read,Edit +--- + +# Pragmatic Guard Mode + +Enables and configures the Pragmatic Guard Mode to actively challenge over-engineering. + +## Process + +### 1. Check Current Configuration +- Read `.architecture/config.yml` to check current settings +- If config.yml doesn't exist, offer to create it from `.architecture/templates/config.yml` +- Check if `pragmatic_mode.enabled` is true +- Note the intensity level (strict/balanced/lenient) +- Review exemption categories and triggers + +### 2. Enable Pragmatic Mode (if requested) +If user wants to enable: +- If config.yml doesn't exist: + ```bash + cp .architecture/templates/config.yml .architecture/config.yml + ``` +- Set `pragmatic_mode.enabled: true` +- Confirm intensity level with user or use default (balanced) +- Create `.architecture/deferrals.md` from template if it doesn't exist: + ```bash + cp .architecture/templates/deferrals.md .architecture/deferrals.md + ``` +- Inform user about mode activation and current settings + +### 3. Configure Intensity Level +Ask user which intensity they prefer if not specified: + +**Strict Mode**: +- Challenges aggressively, requires strong justification for any complexity +- Questions every "should" and "could" +- Pushes for absolute minimal implementation +- Best for: New projects, MVPs, startups with limited resources + +**Balanced Mode** (RECOMMENDED): +- Challenges thoughtfully, accepts justified complexity +- Seeks middle ground between simplicity and best practices +- Questions "should" but accepts reasonable "must" +- Best for: Most projects, growing teams, moderate complexity + +**Lenient Mode**: +- Raises concerns without blocking +- Suggests simpler alternatives as options +- Focuses on major complexity additions only +- Best for: Established projects, teams with strong architecture practices + +### 4. Configure Triggers (optional) +Ask if user wants to customize which situations trigger pragmatic analysis: +- New abstraction layers (interfaces, base classes, DI containers) +- New external dependencies (libraries, frameworks, services) +- New architectural patterns (repository, strategy, observer) +- Scope expansion beyond initial requirements +- Performance optimizations without evidence +- Test infrastructure upfront +- Flexibility/configurability additions + +### 5. Configure Exemptions (optional) +Confirm exemption categories where best practices should be maintained: +- Security-critical features (always exempt by default) +- Data integrity (always exempt by default) +- Compliance requirements (always exempt by default) +- Accessibility (always exempt by default) + +### 6. Understanding the Pragmatic Enforcer +Explain how the Pragmatic Enforcer will participate: + +**In Architecture Reviews**: +- Reviews each architect's recommendations +- Applies necessity assessment (0-10 scoring) +- Applies complexity assessment (0-10 scoring) +- Proposes simpler alternatives +- Calculates pragmatic score (complexity/necessity ratio, target <1.5) + +**In ADR Creation**: +- Challenges proposed decisions +- Questions whether complexity is justified by current needs +- Suggests phased approaches or deferrals +- Documents trigger conditions for deferred decisions + +**Question Framework**: +- **Necessity**: "Do we need this right now?" "What breaks without it?" +- **Simplicity**: "What's the simplest thing that could work?" +- **Cost**: "What's the cost of implementing now vs waiting?" +- **Alternatives**: "What if we just...?" "Could we use existing tools?" +- **Best Practices**: "Does this best practice apply to our context?" + +### 7. Deferrals Tracking +If `behavior.track_deferrals` is true: +- Maintain `.architecture/deferrals.md` with deferred decisions +- Include trigger conditions for each deferral +- Track when deferrals are implemented or remain deferred + +### 8. Report to User +``` +Pragmatic Guard Mode: [Enabled | Disabled] + +Configuration: +- Intensity: [strict | balanced | lenient] +- Apply to: [List of phases where it applies] +- Deferrals tracking: [enabled | disabled] + +Exemptions: +- Security-critical: [enabled | disabled] +- Data integrity: [enabled | disabled] +- Compliance: [enabled | disabled] +- Accessibility: [enabled | disabled] + +Triggers: +[List of active triggers] + +The Pragmatic Enforcer will now: +- Challenge recommendations from other architects +- Question complexity and abstractions +- Propose simpler alternatives +- Calculate pragmatic scores (target ratio <1.5) +- [If enabled] Track deferred decisions in .architecture/deferrals.md + +Next Steps: +- Create an ADR: "Create ADR for [topic]" (will include pragmatic analysis) +- Start a review: "Start architecture review for [target]" (will include pragmatic challenges) +- Adjust settings: Edit .architecture/config.yml +``` + +## When to Use Pragmatic Mode + +**Enable for**: +- New projects or MVPs +- Teams prone to over-engineering +- Resource-constrained environments +- Learning environments (teaching YAGNI) +- Projects with tight deadlines + +**Consider disabling for**: +- Mature systems with established patterns +- High-complexity domains requiring abstractions +- Teams already practicing strong YAGNI principles +- Projects with specific architectural requirements + +## Notes +- Pragmatic mode is about finding balance, not blocking progress +- The Pragmatic Enforcer's role is to question and challenge, not to veto +- Intensity level should match team maturity and project complexity +- Exemptions ensure critical areas maintain appropriate rigor +- Deferrals can always be implemented when triggered by actual needs diff --git a/.agents/skills/setup-architect/SKILL.md b/.agents/skills/setup-architect/SKILL.md new file mode 100644 index 0000000..d72a83e --- /dev/null +++ b/.agents/skills/setup-architect/SKILL.md @@ -0,0 +1,195 @@ +--- +name: setup-architect +description: Sets up and installs the AI Software Architect framework in a NEW project for the FIRST time. Use when the user requests "Setup .architecture", "Setup ai-software-architect", "Initialize architecture framework", "Install software architect", or similar setup/installation phrases. Do NOT use for checking status (use architecture-status), creating documents (use create-adr or reviews), or when framework is already set up. +allowed-tools: Read,Write,Edit,Glob,Grep,Bash +--- + +# Setup AI Software Architect Framework + +Sets up and customizes the AI Software Architect framework for a project. + +## Overview + +This skill performs a complete framework installation: +1. Verifies prerequisites (framework cloned, project root confirmed) +2. Analyzes project (languages, frameworks, structure, patterns) +3. Installs framework files and directory structure +4. Customizes team members and principles for detected tech stack +5. Performs initial system analysis +6. Reports customizations and findings + +**Detailed procedures**: [references/installation-procedures.md](references/installation-procedures.md) +**Customization guide**: [references/customization-guide.md](references/customization-guide.md) + +## High-Level Workflow + +### 1. Verify Prerequisites + +Check requirements before installation: +- `.architecture/.architecture/` directory exists (cloned framework) +- Currently in project root directory + +**If missing**: Guide user to clone framework first. + +### 2. Analyze Project + +Identify project characteristics: +- **Languages**: JavaScript/TypeScript, Python, Ruby, Java, Go, Rust +- **Frameworks**: React, Vue, Django, Rails, Spring, etc. +- **Infrastructure**: Testing setup, CI/CD, package managers +- **Structure**: Directory layout, architectural patterns + +Use `Glob` and `Grep` to detect technologies, `Read` to examine configs. + +### 3. Install Framework + +Execute installation steps (see [references/installation-procedures.md](references/installation-procedures.md)): +- Copy framework files to `.architecture/` +- Remove clone directory +- Create directory structure (decisions/adrs, reviews, recalibration, etc.) +- Initialize configuration from templates +- Set up agent documentation (ADR-006 progressive disclosure) + +**Critical**: Follow safety procedures when removing `.git/` directory. + +### 4. Customize Architecture Team + +Add technology-specific members to `.architecture/members.yml`: +- **JavaScript/TypeScript**: JavaScript Expert, framework specialists (React/Vue/Angular) +- **Python**: Python Expert, framework specialists (Django/Flask/FastAPI) +- **Ruby**: Ruby Expert, Rails Architect +- **Java**: Java Expert, Spring Boot Specialist +- **Go**: Go Expert, Microservices Architect +- **Rust**: Rust Expert, Systems Programmer + +Use template from [assets/member-template.yml](assets/member-template.yml). + +**Keep core members**: Systems Architect, Domain Expert, Security, Performance, Maintainability, AI Engineer, Pragmatic Enforcer. + +**Customization details**: [references/customization-guide.md § Customize Team Members](references/customization-guide.md#customize-architecture-team-members) + +### 5. Customize Architectural Principles + +Add framework-specific principles to `.architecture/principles.md`: +- **React**: Component composition, hooks, unidirectional data flow +- **Rails**: Convention over configuration, DRY, RESTful design +- **Django**: Explicit over implicit, reusable apps, use built-ins + +**Principle examples**: [references/customization-guide.md § Customize Principles](references/customization-guide.md#customize-architectural-principles) + +### 6. Update CLAUDE.md Integration + +If `CLAUDE.md` exists in project root, append framework usage section: +- Available commands +- Where to find documentation +- How to invoke skills + +**Template**: [references/customization-guide.md § Update CLAUDE.md](references/customization-guide.md#update-claudemd-integration) + +### 7. Cleanup + +Remove framework development files: +- Framework documentation (README.md, USAGE*.md, INSTALL.md) +- Template `.git/` directory (with **critical safety checks**) + +**⚠️ IMPORTANT**: Follow all safeguards in [references/installation-procedures.md § Cleanup](references/installation-procedures.md#cleanup-procedures). + +### 8. Create Initial System Analysis + +Generate comprehensive initial analysis document: +- Each member analyzes system from their perspective +- System overview (stack, structure, patterns) +- Strengths identified +- Concerns raised (with impact levels) +- Recommendations prioritized (Critical/Important/Nice-to-Have) +- Collaborative synthesis of findings + +Save to `.architecture/reviews/initial-system-analysis.md`. + +**Template**: [assets/initial-analysis-template.md](assets/initial-analysis-template.md) + +### 9. Report to User + +Provide setup summary: + +``` +AI Software Architect Framework Setup Complete + +Customizations: +- Added [N] technology specialists: [list] +- Customized principles for: [frameworks] +- Configuration: Pragmatic mode [enabled/disabled] + +Initial Analysis Highlights: +- Overall assessment: [assessment] +- Top strength: [strength] +- Top concern: [concern] +- Critical recommendation: [recommendation] + +Location: .architecture/reviews/initial-system-analysis.md + +Next Steps: +- Review initial analysis findings +- "List architecture members" to see customized team +- "Create ADR for [first decision]" to start documenting +- "What's our architecture status?" to verify setup +``` + +## Error Handling + +**Framework not cloned**: +``` +The framework must be cloned first. Please run: + +git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture + +Then run setup again. +``` + +**Already set up**: +``` +Framework appears to be already set up. + +To verify: "What's our architecture status?" +To reconfigure: Manually edit .architecture/members.yml and .architecture/principles.md +``` + +**Unclear project structure**: +``` +Could not clearly identify project type. Please describe: +- Primary programming language(s) +- Framework(s) used +- Project purpose + +I'll customize the framework accordingly. +``` + +## Related Skills + +**After Setup**: +- `list-members` - View customized team +- `architecture-status` - Verify setup completion +- `create-adr` - Document first decision + +**Initial Work**: +- Review `initial-system-analysis.md` findings +- `specialist-review` - Deep-dive on specific concerns +- `create-adr` - Document existing key decisions + +**Workflow Example**: +Setup → Review initial analysis → Create ADRs → Status check → Regular reviews + +## Notes + +- Customize based on **actual** project, not every possible option +- Be specific about **why** each customization was made +- Initial analysis should be thorough but focused on actionable findings +- Safety checks during cleanup are **non-negotiable** + +## Documentation + +- **Installation details**: [references/installation-procedures.md](references/installation-procedures.md) +- **Customization guide**: [references/customization-guide.md](references/customization-guide.md) +- **Initial analysis template**: [assets/initial-analysis-template.md](assets/initial-analysis-template.md) +- **Member template**: [assets/member-template.yml](assets/member-template.yml) +- **Common patterns**: [../_patterns.md](../_patterns.md) diff --git a/.agents/skills/setup-architect/assets/initial-analysis-template.md b/.agents/skills/setup-architect/assets/initial-analysis-template.md new file mode 100644 index 0000000..ab27793 --- /dev/null +++ b/.agents/skills/setup-architect/assets/initial-analysis-template.md @@ -0,0 +1,400 @@ +# Initial System Analysis + +**Project**: [Project Name] +**Date**: [YYYY-MM-DD] +**Analysis Type**: Initial Setup Assessment +**Analysts**: [List all architecture members participating] + +--- + +## Executive Summary + +[Write 2-3 paragraphs providing a high-level overview of the system being analyzed. Include: +- What the system does (purpose and domain) +- Primary technologies and stack +- Current state and maturity level +- Overall architectural health +] + +**Overall Assessment**: [Excellent | Good | Adequate | Needs Attention] + +**Key Findings**: +- [Major finding 1] +- [Major finding 2] +- [Major finding 3] + +**Critical Recommendations**: +- [Top priority recommendation] +- [Second priority recommendation] + +--- + +## System Overview + +### Project Information + +**Primary Language(s)**: [e.g., JavaScript/TypeScript, Python, Ruby] + +**Frameworks**: [e.g., React, Rails, Django, Express] + +**Architecture Style**: [e.g., Monolith, Microservices, Serverless, Hybrid] + +**Deployment**: [e.g., Heroku, AWS, Docker, Kubernetes] + +**Team Size**: [Number of developers] + +**Project Age**: [e.g., 2 years, New project, Legacy system] + +### Technology Stack + +**Frontend**: +- [Technology 1] +- [Technology 2] + +**Backend**: +- [Technology 1] +- [Technology 2] + +**Database**: +- [Primary database] +- [Cache layer if any] + +**Infrastructure**: +- [Hosting/cloud provider] +- [CI/CD tools] +- [Monitoring/observability] + +### Project Structure + +``` +[Provide high-level directory structure] +/ +├── src/ +│ ├── components/ +│ ├── services/ +│ └── ... +├── tests/ +└── ... +``` + +**Key Observations**: +- [Structure observation 1] +- [Structure observation 2] + +--- + +## Individual Member Analyses + +### [Member Name] - [Title] + +**Perspective**: [Their specialized viewpoint] + +#### Current State Assessment + +[Detailed analysis from this member's perspective. Include: +- What they examined +- How they evaluated it +- What they discovered +] + +#### Strengths Identified + +1. **[Strength]**: [Why this is valuable and how it benefits the project] + +2. **[Strength]**: [Description] + +3. **[Strength]**: [Description] + +#### Concerns Raised + +1. **[Concern]** (Impact: High | Medium | Low) + - **Issue**: [What's problematic] + - **Why It Matters**: [Impact on project/team] + - **Recommendation**: [Suggested action] + +2. **[Concern]** (Impact: High | Medium | Low) + - **Issue**: [Description] + - **Why It Matters**: [Impact] + - **Recommendation**: [Action] + +#### Initial Recommendations + +1. **[Recommendation]** (Priority: Critical | Important | Nice-to-Have, Effort: Small | Medium | Large) + - **What**: [Action to take] + - **Why**: [Benefit or risk addressed] + - **How**: [Implementation approach] + +2. **[Recommendation]** (Priority, Effort) + - [Details] + +[Repeat for each architecture member] + +--- + +## Collaborative Synthesis + +[After individual analyses, synthesize findings across all members] + +### Common Themes + +**Strengths** (What multiple members praised): +1. [Common strength 1] +2. [Common strength 2] + +**Concerns** (What multiple members flagged): +1. [Common concern 1] +2. [Common concern 2] + +**Disagreements** (Where members had different views): +- **Topic**: [Topic of disagreement] + - **[Member 1]**: [Their view] + - **[Member 2]**: [Their view] + - **Resolution**: [How to reconcile or way forward] + +### Prioritized Findings + +**Critical (Address Immediately)**: +1. **[Finding]**: [Why critical, impact if not addressed] +2. **[Finding]**: [Details] + +**Important (Address in Near Term)**: +1. **[Finding]**: [Why important] +2. **[Finding]**: [Details] + +**Nice-to-Have (Consider for Future)**: +1. **[Finding]**: [Why beneficial but not urgent] +2. **[Finding]**: [Details] + +--- + +## Architectural Health Assessment + +### Code Quality + +**Rating**: [1-10] + +**Observations**: +- [Observation about code organization] +- [Observation about code clarity] +- [Observation about technical debt] + +**Key Issues**: +- [Issue 1] +- [Issue 2] + +### Testing + +**Coverage**: [Percentage if known, or qualitative assessment] + +**Rating**: [1-10] + +**Observations**: +- [Test presence and quality] +- [Test types (unit, integration, e2e)] +- [Test infrastructure] + +**Gaps**: +- [Gap 1] +- [Gap 2] + +### Documentation + +**Rating**: [1-10] + +**Observations**: +- [README quality] +- [API documentation] +- [Architecture documentation] +- [Code comments] + +**Missing**: +- [What documentation is missing] + +### Security + +**Rating**: [1-10] + +**Observations**: +- [Authentication/authorization approach] +- [Data protection measures] +- [Known vulnerabilities] + +**Concerns**: +- [Security concern 1] +- [Security concern 2] + +### Performance + +**Rating**: [1-10] + +**Observations**: +- [Performance characteristics] +- [Scalability considerations] +- [Known bottlenecks] + +**Concerns**: +- [Performance concern 1] +- [Performance concern 2] + +### Maintainability + +**Rating**: [1-10] + +**Observations**: +- [How easy is it to change?] +- [Developer onboarding experience] +- [Build/deploy process] + +**Challenges**: +- [Maintainability challenge 1] +- [Maintainability challenge 2] + +--- + +## Technical Debt Inventory + +### High Priority Debt + +1. **[Debt Item]** + - **Impact**: [How it affects development] + - **Effort to Resolve**: [Small | Medium | Large] + - **Recommendation**: [When and how to address] + +2. **[Debt Item]**: [Details] + +### Medium Priority Debt + +1. **[Debt Item]**: [Details] +2. **[Debt Item]**: [Details] + +### Low Priority Debt + +1. **[Debt Item]**: [Details] + +--- + +## Risk Assessment + +### Technical Risks + +1. **[Risk]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) + - **Description**: [What could go wrong] + - **Impact**: [Consequences if it happens] + - **Mitigation**: [How to reduce or eliminate] + +2. **[Risk]** (Likelihood, Impact) + - [Details] + +### Business Risks + +1. **[Risk]** (Likelihood, Impact) + - [Details] + +### Operational Risks + +1. **[Risk]** (Likelihood, Impact) + - [Details] + +--- + +## Recommendations + +### Immediate Actions (0-2 Weeks) + +1. **[Action]** + - **Why**: [Problem being solved] + - **How**: [Implementation approach] + - **Owner**: [Who should do this] + - **Success Criteria**: [How to know it's done] + - **Effort**: [Time estimate] + +2. **[Action]**: [Details] + +### Short-Term Actions (2-8 Weeks) + +1. **[Action]** + - **Why**: [Benefit] + - **How**: [Approach] + - **Owner**: [Responsible party] + - **Success Criteria**: [Completion criteria] + - **Effort**: [Estimate] + +2. **[Action]**: [Details] + +### Long-Term Initiatives (2-6 Months) + +1. **[Initiative]** + - **Why**: [Strategic value] + - **How**: [High-level roadmap] + - **Owner**: [Responsible party] + - **Success Criteria**: [Long-term goals] + - **Effort**: [Estimate] + +2. **[Initiative]**: [Details] + +--- + +## Success Metrics + +Define measurable targets to track improvement: + +1. **[Metric Name]** + - **Baseline**: [Current value] + - **Target**: [Desired value] + - **Timeline**: [When to achieve] + - **How to Measure**: [Measurement method] + +2. **[Metric]**: Baseline → Target (Timeline) + +3. **[Metric]**: Baseline → Target (Timeline) + +[Examples: +- Test Coverage: 30% → 70% (3 months) +- Build Time: 10 min → 3 min (6 weeks) +- Documentation Score: 4/10 → 8/10 (2 months) +] + +--- + +## Suggested Next Steps + +Based on this initial analysis: + +1. **[Step 1]**: [Specific actionable next step] +2. **[Step 2]**: [Next step] +3. **[Step 3]**: [Next step] + +**Documentation**: +- Create ADRs for key architectural decisions identified +- Document existing patterns in ADRs +- Schedule regular architecture reviews + +**Process**: +- Establish review cadence (quarterly recommended) +- Define ADR creation criteria +- Set up architecture recalibration process + +--- + +## Appendix + +### Analysis Methodology + +This analysis was conducted using the AI Software Architect framework. Each member analyzed the system from their specialized perspective, then collaborated to synthesize findings and prioritize recommendations. + +**Members Participating**: +- [Member 1] - [Role] +- [Member 2] - [Role] +- [etc.] + +### Glossary + +[Define project-specific terms or acronyms used in analysis] + +- **[Term]**: [Definition] +- **[Acronym]**: [Expansion and meaning] + +--- + +**Analysis Complete** +**Next Review**: [Suggested date - typically 3-6 months after setup] diff --git a/.agents/skills/setup-architect/assets/member-template.yml b/.agents/skills/setup-architect/assets/member-template.yml new file mode 100644 index 0000000..4ea0c89 --- /dev/null +++ b/.agents/skills/setup-architect/assets/member-template.yml @@ -0,0 +1,138 @@ +# Architecture Team Member Template +# +# Use this template to add new team members to .architecture/members.yml +# +# Copy this entire member block and customize for your technology stack + +- id: [unique_identifier] # lowercase with underscores, e.g., javascript_expert + name: "[Full Name]" # Display name, e.g., "Alex Rivera" + title: "[Role Title]" # Professional title, e.g., "JavaScript Expert" + + # Specialties: Main areas of expertise (3-5 items) + specialties: + - "[Specialty 1]" # e.g., "Modern JavaScript/TypeScript" + - "[Specialty 2]" # e.g., "Frontend architecture" + - "[Specialty 3]" # e.g., "Build tools" + + # Disciplines: Professional disciplines and practices (3-5 items) + disciplines: + - "[Discipline 1]" # e.g., "Clean code" + - "[Discipline 2]" # e.g., "Performance optimization" + - "[Discipline 3]" # e.g., "Test-driven development" + + # Skillsets: Specific technical skills (3-5 items) + skillsets: + - "[Skill 1]" # e.g., "ES6+" + - "[Skill 2]" # e.g., "Async programming" + - "[Skill 3]" # e.g., "Module systems" + + # Domains: Application domains and contexts (3-5 items) + domains: + - "[Domain 1]" # e.g., "Web applications" + - "[Domain 2]" # e.g., "API services" + - "[Domain 3]" # e.g., "Cloud infrastructure" + + # Perspective: Unique viewpoint in 1-2 sentences + perspective: "[Description of how this member approaches architecture reviews and what lens they bring]" + +# ============================================================================ +# EXAMPLES BY TECHNOLOGY STACK +# ============================================================================ + +# JavaScript/TypeScript Example: +# - id: javascript_expert +# name: "Alex Rivera" +# title: "JavaScript Expert" +# specialties: ["Modern JavaScript/TypeScript", "Frontend architecture", "Build tools"] +# disciplines: ["Clean code", "Performance", "Cross-browser compatibility"] +# skillsets: ["ES6+", "Async programming", "Module systems"] +# domains: ["Web applications", "Node.js backends", "Build pipelines"] +# perspective: "Focuses on JavaScript best practices and modern language features" + +# Python Example: +# - id: python_expert +# name: "Dr. Sarah Chen" +# title: "Python Expert" +# specialties: ["Python best practices", "Package architecture", "Type hints"] +# disciplines: ["Pythonic code", "Testing patterns", "Performance"] +# skillsets: ["Modern Python (3.10+)", "Async/await", "Data structures"] +# domains: ["Backend services", "Data processing", "APIs"] +# perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" + +# Ruby Example: +# - id: ruby_expert +# name: "Marcus Johnson" +# title: "Ruby Expert" +# specialties: ["Ruby idioms", "Metaprogramming", "Rails patterns"] +# disciplines: ["Convention over configuration", "DRY", "Expressive code"] +# skillsets: ["Ruby 3.x", "Rails architecture", "Gem development"] +# domains: ["Web applications", "API services", "Background jobs"] +# perspective: "Emphasizes Ruby's elegance and Rails conventions" + +# Go Example: +# - id: go_expert +# name: "Dmitri Ivanov" +# title: "Go Expert" +# specialties: ["Idiomatic Go", "Concurrency", "Service architecture"] +# disciplines: ["Simplicity", "Composition", "Clear error handling"] +# skillsets: ["Goroutines/channels", "Standard library", "Performance"] +# domains: ["Microservices", "Cloud-native", "CLI tools"] +# perspective: "Advocates for Go's simplicity and effective concurrency" + +# Rust Example: +# - id: rust_expert +# name: "Katya Volkov" +# title: "Rust Expert" +# specialties: ["Memory safety", "Zero-cost abstractions", "Systems programming"] +# disciplines: ["Ownership/borrowing", "Type-driven design", "Performance"] +# skillsets: ["Rust idioms", "Async Rust", "Unsafe code"] +# domains: ["Systems software", "Performance-critical code", "Embedded"] +# perspective: "Emphasizes Rust's safety guarantees and performance" + +# React Specialist Example: +# - id: react_specialist +# name: "Emma Rodriguez" +# title: "React Specialist" +# specialties: ["React patterns", "Component architecture", "State management"] +# disciplines: ["Hooks", "Performance optimization", "Accessibility"] +# skillsets: ["React 18+", "Context/Redux", "Testing Library"] +# domains: ["SPAs", "Component libraries", "Web apps"] +# perspective: "Focuses on modern React patterns and component reusability" + +# Django Specialist Example: +# - id: django_specialist +# name: "Rajesh Patel" +# title: "Django Specialist" +# specialties: ["Django architecture", "ORM patterns", "REST APIs"] +# disciplines: ["Explicit over implicit", "Reusable apps", "DRY"] +# skillsets: ["Django 4.x", "DRF", "Celery integration"] +# domains: ["Web applications", "REST APIs", "Admin interfaces"] +# perspective: "Leverages Django's batteries-included philosophy effectively" + +# ============================================================================ +# NAMING CONVENTIONS +# ============================================================================ +# +# IDs: Use lowercase with underscores +# - Good: javascript_expert, react_specialist, python_expert +# - Bad: JavaScriptExpert, react-specialist, Python Expert +# +# Names: Use real-sounding names (first and last) +# - Good: "Alex Rivera", "Dr. Sarah Chen", "Marcus Johnson" +# - Bad: "JavaScript Expert", "Python Dev", "The Architect" +# +# Titles: Professional role titles +# - Good: "JavaScript Expert", "React Specialist", "Python Expert" +# - Bad: "JS Guy", "The React Person", "Python Dev" +# +# ============================================================================ +# TIPS FOR GOOD MEMBERS +# ============================================================================ +# +# 1. Be specific: "Modern JavaScript/TypeScript" not just "JavaScript" +# 2. Match your stack: Add specialists for YOUR technologies +# 3. Don't overload: 5-7 technology specialists + core members is plenty +# 4. Unique perspectives: Each member should bring a distinct viewpoint +# 5. Balance depth and breadth: Mix deep specialists with generalists +# 6. Consider project phase: Startups need different members than enterprises +# 7. Team size matters: Larger teams can support more specialists diff --git a/.agents/skills/setup-architect/references/customization-guide.md b/.agents/skills/setup-architect/references/customization-guide.md new file mode 100644 index 0000000..c0bd91c --- /dev/null +++ b/.agents/skills/setup-architect/references/customization-guide.md @@ -0,0 +1,490 @@ +# Customization Guide + +This document describes how to customize the AI Software Architect framework for your project's specific technology stack, team, and practices. + +## Table of Contents + +1. [Customize Architecture Team Members](#customize-architecture-team-members) +2. [Customize Architectural Principles](#customize-architectural-principles) +3. [Update CLAUDE.md Integration](#update-claudemd-integration) +4. [Configuration Options](#configuration-options) + +--- + +## Customize Architecture Team Members + +The framework uses a roster of specialized architecture reviewers in `.architecture/members.yml`. Customize this roster based on your project's technology stack. + +### Member YAML Structure + +See [../assets/member-template.yml](../assets/member-template.yml) for the complete template. + +Each member includes: +- `id`: Unique identifier (lowercase, underscores) +- `name`: Display name +- `title`: Role/title +- `specialties`: Array of specialty areas +- `disciplines`: Array of discipline focuses +- `skillsets`: Array of specific skills +- `domains`: Array of domain areas +- `perspective`: Description of unique viewpoint + +### Technology Stack-Specific Members + +Add specialists based on your detected technology stack: + +#### JavaScript/TypeScript Projects + +```yaml +- id: javascript_expert + name: "Alex Rivera" + title: "JavaScript Expert" + specialties: + - "Modern JavaScript/TypeScript" + - "Frontend architecture" + - "Build tools" + disciplines: + - "Clean code" + - "Performance" + - "Cross-browser compatibility" + skillsets: + - "ES6+" + - "Async programming" + - "Module systems" + domains: + - "Web applications" + - "Node.js backends" + - "Build pipelines" + perspective: "Focuses on JavaScript best practices and modern language features" +``` + +**Additional specialists to consider**: +- React/Vue/Angular Specialist (if using these frameworks) +- Node.js Expert (for backend projects) +- TypeScript Specialist (for TypeScript-heavy projects) + +#### Python Projects + +```yaml +- id: python_expert + name: "Dr. Sarah Chen" + title: "Python Expert" + specialties: + - "Python best practices" + - "Package architecture" + - "Type hints and mypy" + disciplines: + - "Pythonic code" + - "Testing patterns" + - "Performance optimization" + skillsets: + - "Modern Python (3.10+)" + - "Async/await" + - "Data structures" + domains: + - "Backend services" + - "Data processing" + - "API development" + perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" +``` + +**Additional specialists**: +- Django/Flask/FastAPI Specialist (based on framework) +- Data Engineering Specialist (for data-heavy projects) +- ML/AI Specialist (for ML projects) + +#### Ruby Projects + +```yaml +- id: ruby_expert + name: "Marcus Johnson" + title: "Ruby Expert" + specialties: + - "Ruby idioms" + - "Metaprogramming" + - "Rails patterns" + disciplines: + - "Convention over configuration" + - "DRY principles" + - "Expressive code" + skillsets: + - "Ruby 3.x features" + - "Rails architecture" + - "Gem development" + domains: + - "Web applications" + - "API services" + - "Background jobs" + perspective: "Emphasizes Ruby's elegance and Rails conventions for rapid development" +``` + +**Additional specialists**: +- Rails Architect (for Rails projects) +- Ruby Performance Specialist (for high-traffic applications) + +#### Java Projects + +```yaml +- id: java_expert + name: "Jennifer Park" + title: "Java Expert" + specialties: + - "Enterprise Java" + - "Design patterns" + - "JVM optimization" + disciplines: + - "Object-oriented design" + - "SOLID principles" + - "Clean architecture" + skillsets: + - "Modern Java (17+)" + - "Spring ecosystem" + - "Microservices" + domains: + - "Enterprise applications" + - "Distributed systems" + - "Cloud services" + perspective: "Focuses on maintainable enterprise patterns and modern Java practices" +``` + +**Additional specialists**: +- Spring Boot Specialist +- Microservices Architect + +#### Go Projects + +```yaml +- id: go_expert + name: "Dmitri Ivanov" + title: "Go Expert" + specialties: + - "Idiomatic Go" + - "Concurrency patterns" + - "Service architecture" + disciplines: + - "Simplicity" + - "Composition over inheritance" + - "Clear error handling" + skillsets: + - "Goroutines and channels" + - "Standard library" + - "Performance profiling" + domains: + - "Microservices" + - "Cloud-native applications" + - "CLI tools" + perspective: "Advocates for Go's simplicity philosophy and effective concurrency" +``` + +**Additional specialists**: +- Microservices Architect +- Cloud-Native Specialist + +#### Rust Projects + +```yaml +- id: rust_expert + name: "Katya Volkov" + title: "Rust Expert" + specialties: + - "Memory safety" + - "Zero-cost abstractions" + - "Systems programming" + disciplines: + - "Ownership and borrowing" + - "Type-driven design" + - "Performance optimization" + skillsets: + - "Rust idioms" + - "Async Rust" + - "Unsafe code" + domains: + - "Systems software" + - "Performance-critical code" + - "Embedded systems" + perspective: "Emphasizes Rust's safety guarantees and performance characteristics" +``` + +**Additional specialists**: +- Systems Programmer +- Performance Specialist (Rust-specific) + +### Editing Members + +**To add a member**: +1. Copy the template from `assets/member-template.yml` +2. Fill in all fields appropriately +3. Add to `.architecture/members.yml` in the `members:` array +4. Choose a unique `id` (use lowercase with underscores) + +**To remove a member**: +1. Delete their entry from `.architecture/members.yml` +2. They won't appear in future reviews + +**To modify a member**: +1. Edit their entry in `.architecture/members.yml` +2. Changes apply to all future reviews + +### Core Members (Keep These) + +These core members should remain for all projects: +- **Systems Architect**: Overall architecture coherence +- **Domain Expert**: Business domain representation +- **Security Specialist**: Security analysis +- **Performance Specialist**: Performance and scalability +- **Maintainability Expert**: Code quality and technical debt +- **Pragmatic Enforcer**: YAGNI enforcement (if pragmatic mode enabled) + +**Add technology specialists, don't replace core members.** + +--- + +## Customize Architectural Principles + +The framework's architectural principles in `.architecture/principles.md` should be augmented with framework/technology-specific principles. + +### Framework-Specific Principles + +Add principles specific to your project's frameworks: + +#### React Projects + +**Component Composition**: +- Favor composition over inheritance +- Build reusable, focused components +- Use children props for flexibility + +**State Management**: +- Lift state only when necessary +- Use context for cross-cutting concerns +- Consider state management libraries for complex state + +**Hooks Best Practices**: +- Follow Rules of Hooks +- Custom hooks for reusable logic +- useEffect dependencies matter + +**Props Down, Events Up**: +- Data flows down via props +- Changes flow up via callbacks +- Unidirectional data flow + +#### Rails Projects + +**Convention Over Configuration**: +- Follow Rails conventions +- Don't fight the framework +- Configure only when necessary + +**DRY (Don't Repeat Yourself)**: +- Extract common code +- Use concerns and modules +- Avoid duplication across models/controllers + +**Fat Models, Skinny Controllers**: +- Business logic in models +- Controllers orchestrate only +- Keep views logic-free + +**RESTful Design**: +- Use resourceful routing +- Standard CRUD patterns +- Nested resources where appropriate + +#### Django Projects + +**Explicit Over Implicit**: +- Make behavior clear +- Avoid magic +- Prefer explicit configuration + +**Reusable Apps**: +- Design apps to be reusable +- Clear boundaries and interfaces +- Minimal coupling between apps + +**Use Built-In Features**: +- Leverage Django's admin +- Use ORM effectively +- Don't reinvent wheels + +**Template Inheritance**: +- Base templates for layouts +- Block-based composition +- DRY template code + +### Adding Custom Principles + +**Format**: +```markdown +## [Principle Number]. [Principle Name] + +[Description of the principle and why it matters] + +**In Practice**: +- [Specific application 1] +- [Specific application 2] +- [Specific application 3] + +**Anti-patterns to Avoid**: +- [Anti-pattern 1] +- [Anti-pattern 2] + +**Examples**: +[Code examples showing the principle in action] +``` + +**Where to add**: +- Append to `.architecture/principles.md` +- After the core principles (Livable Code, Clarity over Cleverness, etc.) +- Before any project-specific principles + +--- + +## Update CLAUDE.md Integration + +If your project has a `CLAUDE.md` file for Claude Code integration, append framework usage instructions. + +### Template + +Add this section to your project's `CLAUDE.md`: + +```markdown +## AI Software Architect Framework + +This project uses the AI Software Architect framework for architectural decision tracking and reviews. + +### Available Commands + +- **Create ADR**: "Create ADR for [decision]" +- **Architecture Review**: "Start architecture review for version X.Y.Z" +- **Specialist Review**: "Ask [specialist role] to review [target]" +- **Implementation**: "Implement [feature] as the architects" +- **List Members**: "List architecture members" +- **Status**: "What's our architecture status?" + +### Documentation + +All architecture documentation is in `.architecture/`: +- **ADRs**: `.architecture/decisions/adrs/` +- **Reviews**: `.architecture/reviews/` +- **Principles**: `.architecture/principles.md` +- **Team**: `.architecture/members.yml` +``` + +### Important Notes + +**Do NOT include**: +- Setup instructions (setup is one-time) +- Framework internals +- Implementation details + +**DO include**: +- Usage commands +- Where to find documentation +- How to invoke skills + +### Location + +Append to `CLAUDE.md` in project root (if it exists). If `CLAUDE.md` doesn't exist, you can create it or skip this step. + +--- + +## Configuration Options + +The framework's behavior is controlled via `.architecture/config.yml`. + +### Pragmatic Mode + +```yaml +pragmatic_mode: + enabled: true + intensity: balanced # strict | balanced | lenient + applies_to: + - reviews + - adrs + - implementation + exemptions: + - security + - compliance + - accessibility + - data_loss_prevention +``` + +**Intensity levels**: +- `strict`: Ratio target <1.0 (complexity < necessity) +- `balanced`: Ratio target <1.5 (moderate complexity acceptable) +- `lenient`: Ratio target <2.0 (strategic complexity tolerated) + +**When to enable**: +- **Strict**: MVP, tight timeline, small team +- **Balanced**: Normal development, sustainable pace +- **Lenient**: Platform building, long-term projects + +### Implementation Guidance + +```yaml +implementation: + enabled: true + methodology: TDD # TDD | BDD | DDD | Test-Last | Exploratory + influences: + - "Kent Beck - TDD by Example" + - "Sandi Metz - POODR" + languages: + ruby: + style_guide: "Rubocop" + test_framework: "RSpec" + javascript: + style_guide: "Airbnb" + test_framework: "Jest" +``` + +**Usage**: +When you say "Implement [feature] as the architects", the framework applies this methodology automatically. + +### Review Configuration + +```yaml +reviews: + frequency: + major_versions: required + features: optional + regular: quarterly + auto_track_actions: true + require_success_metrics: true +``` + +--- + +## Customization Checklist + +After installation, customize: + +- [ ] Add technology-specific members to `.architecture/members.yml` +- [ ] Add framework-specific principles to `.architecture/principles.md` +- [ ] Update `.architecture/config.yml` with team preferences +- [ ] Append framework usage to `CLAUDE.md` (if exists) +- [ ] Review and adjust pragmatic mode settings +- [ ] Configure implementation methodology (if using) +- [ ] Run initial system analysis +- [ ] Verify setup with "What's our architecture status?" + +--- + +## Best Practices + +**Do**: +- Customize based on actual project needs +- Add specialists for primary technologies +- Keep core members (Systems, Domain, Security, etc.) +- Tailor principles to your stack +- Enable pragmatic mode appropriately + +**Don't**: +- Add every possible specialist (overwhelms reviews) +- Remove core members (they provide essential perspectives) +- Copy principles verbatim without customization +- Enable strict pragmatic mode for established projects +- Skip initial analysis (provides valuable baseline) + +For the initial analysis template, see [../assets/initial-analysis-template.md](../assets/initial-analysis-template.md). diff --git a/.agents/skills/setup-architect/references/installation-procedures.md b/.agents/skills/setup-architect/references/installation-procedures.md new file mode 100644 index 0000000..594b5f3 --- /dev/null +++ b/.agents/skills/setup-architect/references/installation-procedures.md @@ -0,0 +1,403 @@ +# Installation Procedures - Detailed Guide + +This document provides detailed step-by-step procedures for installing the AI Software Architect framework in a project. + +## Table of Contents + +1. [Prerequisites Verification](#prerequisites-verification) +2. [Framework Installation](#framework-installation) +3. [Agent Documentation Setup](#agent-documentation-setup) +4. [Cleanup Procedures](#cleanup-procedures) +5. [Troubleshooting](#troubleshooting) + +--- + +## Prerequisites Verification + +Before installing, verify the environment is ready. + +### Check Framework is Cloned + +The framework must be cloned into `.architecture/.architecture/`: + +```bash +if [ ! -d ".architecture/.architecture" ]; then + echo "❌ Framework not found. Please clone first:" + echo " git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture" + exit 1 +fi + +echo "✅ Framework found at .architecture/.architecture" +``` + +### Confirm Project Root + +Verify we're in the project root directory: + +```bash +# Look for common project markers +if [ -f "package.json" ] || [ -f "Gemfile" ] || [ -f "requirements.txt" ] || [ -f "go.mod" ] || [ -f "Cargo.toml" ]; then + echo "✅ In project root" +else + echo "⚠️ No project markers found. Are you in the project root?" + # Continue but warn user +fi +``` + +--- + +## Framework Installation + +### Step 1: Copy Framework Files + +Copy the framework from the cloned location to `.architecture/`: + +```bash +# Copy framework files (they're in the .architecture subfolder of the cloned repo) +cp -r .architecture/.architecture/.architecture/* .architecture/ + +# Verify copy succeeded +if [ $? -eq 0 ]; then + echo "✅ Framework files copied" +else + echo "❌ Copy failed" + exit 1 +fi +``` + +### Step 2: Remove Clone Directory + +Clean up the temporary clone directory: + +```bash +# Remove the clone directory (no longer needed) +rm -rf .architecture/.architecture + +if [ ! -d ".architecture/.architecture" ]; then + echo "✅ Clone directory removed" +fi +``` + +### Step 3: Create Directory Structure + +Create all required directories: + +```bash +# Create coding assistant directories +mkdir -p .coding-assistants/claude +mkdir -p .coding-assistants/cursor +mkdir -p .coding-assistants/codex + +# Create architecture directories +mkdir -p .architecture/decisions/adrs +mkdir -p .architecture/reviews +mkdir -p .architecture/recalibration +mkdir -p .architecture/comparisons +mkdir -p .architecture/agent_docs + +echo "✅ Directory structure created" +``` + +### Step 4: Initialize Configuration + +Copy the default configuration file: + +```bash +# Copy config template if exists +if [ -f ".architecture/templates/config.yml" ]; then + cp .architecture/templates/config.yml .architecture/config.yml + echo "✅ Configuration initialized" +else + echo "⚠️ No config template found" +fi +``` + +**Verify installation**: +```bash +# Check key directories exist +test -d .architecture/decisions/adrs && \ +test -d .architecture/reviews && \ +test -f .architecture/members.yml && \ +test -f .architecture/principles.md && \ +echo "✅ Installation verified" || echo "❌ Installation incomplete" +``` + +--- + +## Agent Documentation Setup + +Following ADR-006 (Progressive Disclosure), create agent-specific documentation. + +### Copy Existing Agent Docs (If Available) + +If the framework includes agent documentation, copy it as templates: + +```bash +if [ -d ".architecture/agent_docs" ]; then + # Backup existing files as templates + if [ -f ".architecture/agent_docs/workflows.md" ]; then + cp .architecture/agent_docs/workflows.md .architecture/agent_docs/workflows.md.template + fi + + if [ -f ".architecture/agent_docs/reference.md" ]; then + cp .architecture/agent_docs/reference.md .architecture/agent_docs/reference.md.template + fi + + if [ -f ".architecture/agent_docs/README.md" ]; then + cp .architecture/agent_docs/README.md .architecture/agent_docs/README.md.template + fi + + echo "✅ Agent docs backed up as templates" +fi +``` + +### Create Agent Documentation Files + +Create three core documentation files: + +**1. workflows.md** - Procedural documentation: +- Setup procedures (Claude Skills, Direct Clone, MCP) +- Architecture review process +- ADR creation workflow +- Implementation with methodology +- Step-by-step instructions for common tasks + +**2. reference.md** - Reference documentation: +- Pragmatic mode details and intensity levels +- Recalibration process +- Advanced configuration options +- Troubleshooting guide +- Configuration examples + +**3. README.md** - Navigation guide: +- Progressive disclosure explanation +- Quick navigation table (task → section) +- How to find information +- When to read which document + +**Content Guidelines**: +- AGENTS.md: ~400 lines, always-relevant overview +- agent_docs/: Task-specific details loaded as needed +- Keep workflows procedural and actionable +- Reference should be comprehensive but organized +- README should help users navigate effectively + +--- + +## Cleanup Procedures + +Remove framework development files that shouldn't be in user projects. + +### Remove Documentation Files + +```bash +# Remove framework documentation (users don't need these) +rm -f .architecture/README.md +rm -f .architecture/USAGE*.md +rm -f .architecture/INSTALL.md + +echo "✅ Framework docs removed" +``` + +### Remove Framework Git Repository + +**⚠️ CRITICAL SAFEGUARDS - READ CAREFULLY** + +Removing `.git` directory is destructive. Follow these safeguards: + +#### Safeguard 1: Verify Project Root + +```bash +# Check we're in project root (NOT in .architecture/) +if [ ! -f "package.json" ] && [ ! -f ".git/config" ] && [ ! -f "Gemfile" ]; then + echo "❌ ERROR: Not in project root. Stopping." + echo " Current directory: $(pwd)" + exit 1 +fi + +echo "✅ Verified in project root" +``` + +#### Safeguard 2: Verify Target Exists + +```bash +# Check .architecture/.git exists before attempting removal +if [ ! -d ".architecture/.git" ]; then + echo "✅ No .git directory to remove" + exit 0 +fi + +echo "⚠️ Found .architecture/.git - proceeding with verification" +``` + +#### Safeguard 3: Verify It's the Template Repo + +```bash +# Verify .git/config contains template repository URL +if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then + echo "❌ ERROR: .architecture/.git doesn't appear to be template repo" + echo " Found config:" + cat .architecture/.git/config 2>/dev/null || echo " (could not read config)" + echo "" + echo "⛔ STOPPING - User confirmation required" + exit 1 +fi + +echo "✅ Verified template repository" +``` + +#### Safeguard 4: Use Absolute Path + +```bash +# Get absolute path (never use relative paths with rm -rf) +ABS_PATH="$(pwd)/.architecture/.git" + +echo "Removing: $ABS_PATH" + +# Verify path is what we expect +if [[ "$ABS_PATH" != *"/.architecture/.git" ]]; then + echo "❌ ERROR: Path doesn't match expected pattern" + echo " Path: $ABS_PATH" + exit 1 +fi + +echo "✅ Path verified" +``` + +#### Safeguard 5: Execute Removal + +```bash +# Remove with absolute path (no wildcards!) +rm -rf "$ABS_PATH" + +# Verify removal +if [ ! -d ".architecture/.git" ]; then + echo "✅ Template .git removed successfully" +else + echo "⚠️ .git directory still exists" +fi +``` + +**Complete Safe Removal Script**: + +```bash +#!/bin/bash +# Safe removal of template repository .git directory + +set -e # Exit on any error + +echo "=== Safe .git Removal ===" + +# 1. Verify project root +if [ ! -f "package.json" ] && [ ! -f ".git/config" ] && [ ! -f "Gemfile" ]; then + echo "❌ Not in project root" + exit 1 +fi + +# 2. Check target exists +if [ ! -d ".architecture/.git" ]; then + echo "✅ No .git to remove" + exit 0 +fi + +# 3. Verify template repo +if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then + echo "❌ Not template repo - STOPPING" + exit 1 +fi + +# 4. Get absolute path +ABS_PATH="$(pwd)/.architecture/.git" + +# 5. Verify path pattern +if [[ "$ABS_PATH" != *"/.architecture/.git" ]]; then + echo "❌ Unexpected path - STOPPING" + exit 1 +fi + +# 6. Execute removal +echo "Removing: $ABS_PATH" +rm -rf "$ABS_PATH" + +# 7. Verify success +if [ ! -d ".architecture/.git" ]; then + echo "✅ Successfully removed" +else + echo "❌ Removal failed" + exit 1 +fi +``` + +--- + +## Troubleshooting + +### Common Issues + +**Issue**: "Framework not found at .architecture/.architecture" +- **Cause**: Framework not cloned +- **Solution**: `git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture` + +**Issue**: "Permission denied" errors during copy +- **Cause**: Insufficient file permissions +- **Solution**: `chmod -R u+rw .architecture/` + +**Issue**: "Directory already exists" during mkdir +- **Cause**: Framework already partially installed +- **Solution**: Check if framework is already set up: `ls -la .architecture/` + +**Issue**: ".git removal verification failed" +- **Cause**: Safety check detected unexpected repository +- **Solution**: Manually verify `.architecture/.git/config` contains template repo URL +- **Never**: Override safety checks without understanding why they failed + +**Issue**: "No project markers found" +- **Cause**: May not be in project root +- **Solution**: Verify you're in the correct directory, proceed with caution + +### Verification Commands + +**Check installation completeness**: +```bash +# Required directories +test -d .architecture/decisions/adrs && echo "✅ ADRs directory" || echo "❌ Missing ADRs" +test -d .architecture/reviews && echo "✅ Reviews directory" || echo "❌ Missing reviews" + +# Required files +test -f .architecture/members.yml && echo "✅ Members file" || echo "❌ Missing members" +test -f .architecture/principles.md && echo "✅ Principles file" || echo "❌ Missing principles" +test -f .architecture/config.yml && echo "✅ Config file" || echo "❌ Missing config" +``` + +**Check for leftover framework files**: +```bash +# These should NOT exist after cleanup +test -f .architecture/README.md && echo "⚠️ Framework README still present" +test -d .architecture/.git && echo "⚠️ Template .git still present" +test -d .architecture/.architecture && echo "⚠️ Clone directory still present" +``` + +### Recovery + +**If installation fails mid-process**: +1. Remove partial installation: `rm -rf .architecture/` (if nothing important there yet) +2. Re-clone framework: `git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture` +3. Start over from Step 1 + +**If you accidentally removed the wrong .git**: +- If it was your project's .git: **Restore from backup immediately** +- If you don't have a backup: Recovery may not be possible +- This is why the safeguards are critical + +--- + +## Post-Installation + +After installation is complete: + +1. **Verify setup**: Run `"What's our architecture status?"` +2. **Review customizations**: Check `.architecture/members.yml` and `.architecture/principles.md` +3. **Run initial analysis**: The setup process creates an initial system analysis +4. **Create first ADR**: Document an early architectural decision + +For customization procedures, see [customization-guide.md](./customization-guide.md). diff --git a/.agents/skills/specialist-review/SKILL.md b/.agents/skills/specialist-review/SKILL.md new file mode 100644 index 0000000..26011fc --- /dev/null +++ b/.agents/skills/specialist-review/SKILL.md @@ -0,0 +1,199 @@ +--- +name: specialist-review +description: Conducts a focused review from ONE specific specialist's perspective (e.g., Security Specialist, Performance Expert). Use when the user requests "Ask [specialist role] to review [target]", "Get [specialist]'s opinion on [topic]", "Have [role] review [code/component]", or when they want deep expertise in ONE specific domain. Do NOT use for comprehensive multi-perspective reviews (use architecture-review instead) or for listing available specialists (use list-members instead). +allowed-tools: Read,Write,Glob,Grep +--- + +# Specialist Review + +Conducts focused reviews from a specific specialist's perspective. + +## Overview + +This skill performs a deep-dive review from one specialist's expertise: +1. Parses which specialist and what target to review +2. Loads or creates the specialist in the team +3. Analyzes the target from that specialist's unique lens +4. Conducts expert-level review with specific findings +5. Generates detailed review document +6. Reports key findings and recommendations + +**Specialist guidance**: [references/specialist-perspectives.md](references/specialist-perspectives.md) +**Review template**: [assets/specialist-review-template.md](assets/specialist-review-template.md) + +## High-Level Workflow + +### 1. Parse Request + +Extract from user request: +- **Specialist role**: Which expert? (e.g., "Security Specialist", "Performance Expert") +- **Target**: What to review? (e.g., "API authentication", "database queries") + +**Input validation**: Apply sanitization from `_patterns.md`: +- Specialist role: Alphanumeric + spaces/hyphens only, convert to kebab-case for filename +- Target: Remove dangerous characters, convert to kebab-case +- Combined filename length: max 100 characters + +**Examples**: +- "Security Specialist" + "API authentication" → `security-specialist-api-authentication.md` +- "Ruby Expert" + "ActiveRecord models" → `ruby-expert-activerecord-models.md` + +### 2. Load or Create Specialist + +Check `.architecture/members.yml` for the requested specialist. + +**If exists**: Load their profile (specialties, disciplines, domains, perspective) + +**If doesn't exist**: Create new member and add to `members.yml`: +```yaml +- id: [specialist_id] + name: "[Person Name]" + title: "[Specialist Title]" + specialties: ["[Specialty 1]", "[Specialty 2]", "[Specialty 3]"] + disciplines: ["[Discipline 1]", "[Discipline 2]"] + skillsets: ["[Skill 1]", "[Skill 2]"] + domains: ["[Domain 1]", "[Domain 2]"] + perspective: "[Their unique viewpoint]" +``` + +Inform user: "I've added [Name] ([Title]) to your architecture team." + +**Specialist guidance**: See [references/specialist-perspectives.md § Creating New Specialists](references/specialist-perspectives.md#creating-new-specialists) + +### 3. Analyze Target + +Use available tools to examine the target: +- `Glob` to find relevant files +- `Grep` to search for patterns +- `Read` to examine code, configs, documentation + +**Understand**: +- Current implementation +- Dependencies and context +- Related ADRs or documentation +- Patterns being used + +### 4. Conduct Expert Review + +Adopt the specialist's persona and expertise. Apply their unique lens. + +**Review from specialist's perspective**: +- Focus on their domain of expertise (security, performance, maintainability, etc.) +- Provide expert-level insights, not surface-level comments +- Reference specific files, line numbers, and code +- Explain impact and provide actionable fixes + +**Review structure** (for each specialist): +- Specialist perspective and focus +- Executive summary with assessment +- Current implementation description +- Strengths identified +- Concerns with severity and specific fixes +- Recommendations (immediate, short-term, long-term) +- Best practices and industry standards +- Code examples showing issues and improvements +- Risks if not addressed +- Success metrics + +**Detailed guidance by specialist**: [references/specialist-perspectives.md § Core Specialists](references/specialist-perspectives.md#core-specialists) + +**Review template**: Load and fill [assets/specialist-review-template.md](assets/specialist-review-template.md) + +### 5. Create Review Document + +Load the template: +```bash +cat .claude/skills/specialist-review/assets/specialist-review-template.md +``` + +Fill in all sections with detailed, specific findings. + +**Save to**: `.architecture/reviews/[specialist-role]-[target].md` + +**Format**: `[role-kebab-case]-[target-kebab-case].md` + +### 6. Report to User + +Provide concise summary: + +``` +[Specialist Title] Review Complete: [Target] + +Reviewer: [Specialist Name] +Location: .architecture/reviews/[filename].md +Assessment: [Overall assessment] + +Key Findings: +1. [Most important finding] +2. [Second finding] +3. [Third finding] + +Priority Actions: +1. [Critical action 1] +2. [Critical action 2] + +Critical Issues: [Count] +High Priority: [Count] +Total Recommendations: [Count] + +Next Steps: +- Address critical issues immediately +- Review detailed findings in document +- [Specific next action based on findings] +``` + +## Specialist Quick Reference + +**Core Specialists** (see [references/specialist-perspectives.md](references/specialist-perspectives.md)): +- **Security Specialist**: Authentication, authorization, vulnerabilities, OWASP +- **Performance Specialist**: Query optimization, caching, bottlenecks, scalability +- **Domain Expert**: Business logic, domain models, ubiquitous language +- **Maintainability Expert**: Code quality, technical debt, testability +- **Systems Architect**: Architecture patterns, component interaction, coherence +- **AI Engineer**: LLM integration, agent orchestration, evaluation + +**Technology Specialists**: +- **JavaScript/Python/Ruby/Go/Rust Expert**: Language-specific best practices +- **Framework Specialists**: React, Rails, Django, Spring, etc. + +**Creating new specialists**: Automatically added to team when requested + +## Related Skills + +**Before Specialist Review**: +- `list-members` - See available specialists +- `architecture-status` - Check if area previously reviewed + +**After Specialist Review**: +- `create-adr` - Document decisions from findings +- `architecture-review` - Include in comprehensive review +- Request another specialist for different domain perspective + +**Workflow Examples**: +1. Security review → Finds auth issue → Create ADR → Performance review +2. Ruby Expert review → Rails-specific guidance → Implement → Follow-up review +3. Full architecture review → Deep-dive with specialists on concerns + +## Quality Guidelines + +**Excellent specialist reviews**: +- Stay laser-focused within domain +- Provide expert-level, not generic, insights +- Reference exact files and line numbers +- Include code examples (current vs recommended) +- Explain "why", not just "what" +- Consider context and constraints +- Provide actionable, implementable advice +- Estimate effort for each recommendation + +**Avoid**: +- Straying outside specialist's domain +- Vague or surface-level comments +- Missing specific locations +- Recommendations without implementation guidance + +## Documentation + +- **Specialist guidance**: [references/specialist-perspectives.md](references/specialist-perspectives.md) +- **Review template**: [assets/specialist-review-template.md](assets/specialist-review-template.md) +- **Common patterns**: [../_patterns.md](../_patterns.md) diff --git a/.agents/skills/specialist-review/assets/specialist-review-template.md b/.agents/skills/specialist-review/assets/specialist-review-template.md new file mode 100644 index 0000000..9e197cd --- /dev/null +++ b/.agents/skills/specialist-review/assets/specialist-review-template.md @@ -0,0 +1,296 @@ +# [Specialist Title] Review: [Target] + +**Reviewer**: [Specialist Name], [Specialist Title] +**Target**: [What's being reviewed - be specific] +**Date**: [YYYY-MM-DD] +**Review Type**: Specialist Review + +--- + +## Specialist Perspective + +**Focus**: [What this specialist looks for based on their expertise] + +[Brief explanation of this specialist's unique lens and what they prioritize in reviews] + +--- + +## Executive Summary + +[Write 2-3 sentences summarizing the review findings] + +**Overall Assessment**: Excellent | Good | Adequate | Needs Improvement | Critical Issues + +**Key Findings**: +- [Most significant finding] +- [Second most significant finding] +- [Third most significant finding] + +**Critical Actions Required**: [Number of critical items] + +--- + +## Current Implementation + +[Describe what was reviewed with specific file references and context] + +**Scope Reviewed**: +- [Component/feature 1] +- [Component/feature 2] +- [Component/feature 3] + +**Key Components**: +- `[file.ext:line]`: [Brief description of component] +- `[file.ext:line]`: [Brief description] +- `[file.ext:line]`: [Brief description] + +**Pattern/Approach Used**: [Describe the pattern or approach currently implemented] + +--- + +## Assessment + +### Strengths + +[Identify what's working well from this specialist's perspective] + +1. **[Strength Title]**: [Description of what's good and why it matters from this specialist's viewpoint] + +2. **[Strength Title]**: [Description] + +3. **[Strength Title]**: [Description] + +[Aim for 3-5 strengths - recognize good practices] + +### Concerns + +[Identify issues, weaknesses, and areas needing improvement] + +1. **[Concern Title]** (Severity: Critical | High | Medium | Low) + - **Issue**: [Clear description of what's wrong or could be improved] + - **Location**: `[file.ext:line-range]` + - **Impact**: [What problems this causes - performance, security, maintainability, etc.] + - **Fix**: [Specific, actionable recommendation] + - **Effort**: Small | Medium | Large + +2. **[Concern Title]** (Severity: Critical | High | Medium | Low) + - **Issue**: [Description] + - **Location**: `[file.ext:line]` + - **Impact**: [Impact] + - **Fix**: [Recommendation] + - **Effort**: Small | Medium | Large + +3. **[Concern Title]** (Severity: Critical | High | Medium | Low) + - [Details] + +[Continue with additional concerns - prioritize by severity] + +### Observations + +[Neutral observations that aren't necessarily problems but worth noting] + +- **[Observation]**: [Description and context] +- **[Observation]**: [Description] +- **[Observation]**: [Description] + +--- + +## Recommendations + +### Immediate (0-2 Weeks) + +[Critical and high-priority items that should be addressed right away] + +1. **[Recommendation Title]** + - **What**: [Specific action to take] + - **Why**: [Reason and benefit] + - **How**: [Implementation approach] + - **Effort**: Small | Medium | Large + - **Priority**: Critical | High + +2. **[Recommendation]** + - [Details] + +### Short-term (2-8 Weeks) + +[Important improvements to address in the near term] + +1. **[Recommendation Title]** + - **What**: [Action] + - **Why**: [Reason] + - **How**: [Approach] + - **Effort**: Small | Medium | Large + - **Priority**: Medium + +2. **[Recommendation]** + - [Details] + +### Long-term (2-6 Months) + +[Strategic improvements for future consideration] + +1. **[Recommendation Title]** + - **What**: [Action] + - **Why**: [Strategic value] + - **How**: [High-level approach] + - **Effort**: Medium | Large + - **Priority**: Low | Nice-to-Have + +2. **[Recommendation]** + - [Details] + +--- + +## Best Practices + +[Industry best practices relevant to this specialist's domain] + +1. **[Practice Title]**: [Description of best practice and how it applies to this codebase] + +2. **[Practice Title]**: [Description] + +3. **[Practice Title]**: [Description] + +**Industry Standards**: [Reference relevant standards, guidelines, or frameworks] +- [Standard 1]: [How it applies] +- [Standard 2]: [How it applies] + +--- + +## Code Examples + +[Provide concrete code examples showing current issues and recommended improvements] + +### Example 1: [Issue Title] + +**Current Implementation (Problematic)**: +```[language] +[Code snippet showing the concern] +``` + +**Issues**: +- [Issue 1] +- [Issue 2] +- [Issue 3] + +**Recommended Improvement**: +```[language] +[Code snippet showing the improved approach] +``` + +**Benefits**: +- [Benefit 1] +- [Benefit 2] +- [Benefit 3] + +### Example 2: [Issue Title] + +[Repeat structure for additional examples] + +--- + +## Risks + +**If Recommendations Not Addressed**: + +1. **[Risk Title]** (Likelihood: High | Medium | Low, Impact: High | Medium | Low) + - **Description**: [What could go wrong] + - **Timeframe**: [When this might occur] + - **Impact**: [Consequences] + - **Mitigation**: [How to reduce or eliminate risk] + +2. **[Risk Title]** (Likelihood, Impact) + - **Description**: [Risk description] + - **Timeframe**: [When] + - **Impact**: [Consequences] + - **Mitigation**: [How to address] + +3. **[Risk Title]** (Likelihood, Impact) + - [Details] + +--- + +## Success Metrics + +[Define how to measure improvement after implementing recommendations] + +1. **[Metric Name]** + - **Current**: [Baseline value] + - **Target**: [Desired value] + - **Timeline**: [When to achieve] + - **How to Measure**: [Measurement method] + +2. **[Metric Name]**: Current → Target (Timeline) + +3. **[Metric Name]**: Current → Target (Timeline) + +[Examples: +- Test Coverage: 40% → 80% (6 weeks) +- Response Time: 2s → 300ms (4 weeks) +- Security Score: 6/10 → 9/10 (8 weeks) +] + +--- + +## Follow-up + +**Re-Review Recommended**: [When to conduct follow-up review] + +**Success Criteria for Closure**: +- [ ] [Criterion 1] +- [ ] [Criterion 2] +- [ ] [Criterion 3] + +**Next Steps**: +1. [Immediate next step] +2. [Second next step] +3. [Third next step] + +**Related Reviews**: +- [Link to related reviews if any] + +**Related ADRs**: +- [Link to relevant ADRs if decisions are needed] + +--- + +## Appendix + +### Review Scope + +**What Was Reviewed**: +- [Scope item 1] +- [Scope item 2] +- [Scope item 3] + +**What Was Not Reviewed**: +- [Out of scope item 1] +- [Out of scope item 2] + +### Methodology + +This review was conducted by analyzing: +- Code structure and implementation +- [Relevant documentation] +- [Test coverage] +- [Performance metrics] +- [Security scan results] +- [Other relevant inputs] + +### References + +**Documentation Reviewed**: +- [Document 1] +- [Document 2] + +**Standards Referenced**: +- [Standard 1] +- [Standard 2] + +**Tools Used**: +- [Tool 1] +- [Tool 2] + +--- + +**Review Complete** diff --git a/.agents/skills/specialist-review/references/specialist-perspectives.md b/.agents/skills/specialist-review/references/specialist-perspectives.md new file mode 100644 index 0000000..79754b2 --- /dev/null +++ b/.agents/skills/specialist-review/references/specialist-perspectives.md @@ -0,0 +1,511 @@ +# Specialist Perspectives - Review Guidance + +This document provides detailed guidance for conducting reviews from each specialist's unique perspective. + +## Table of Contents + +1. [General Review Approach](#general-review-approach) +2. [Core Specialists](#core-specialists) +3. [Technology Specialists](#technology-specialists) +4. [Creating New Specialists](#creating-new-specialists) + +--- + +## General Review Approach + +All specialist reviews should follow these principles: + +### Stay Focused + +**Do**: +- Laser-focus on your domain of expertise +- Deep-dive within your specialty +- Provide expert-level insights + +**Don't**: +- Stray into other specialists' domains +- Provide surface-level general comments +- Dilute expertise by being too broad + +### Be Specific + +**Always include**: +- Exact file paths and line numbers +- Concrete code examples +- Specific recommendations + +**Example**: +- ❌ "The authentication is insecure" +- ✅ "The authentication in `src/auth/login.ts:45` uses MD5 hashing, which is cryptographically broken. Migrate to bcrypt with salt rounds ≥12." + +### Provide Context + +**Explain**: +- Why this matters (impact) +- Industry standards or best practices +- Trade-offs of recommendations +- Effort required + +### Be Actionable + +**Every concern should include**: +- What's wrong +- Where it is (file:line) +- Impact if not fixed +- Specific fix with implementation approach +- Effort estimate + +--- + +## Core Specialists + +These specialists are part of the framework's core team. + +### Security Specialist + +**Role**: Identifies security vulnerabilities, threats, and risks. + +**Focus Areas**: +- **Authentication**: Login mechanisms, password handling, session management +- **Authorization**: Access control, permissions, role-based access +- **Input Validation**: XSS, SQL injection, command injection prevention +- **Data Protection**: Encryption at rest/transit, PII handling, secrets management +- **OWASP Top 10**: Cross-check against current OWASP vulnerabilities +- **Compliance**: GDPR, HIPAA, PCI-DSS requirements +- **API Security**: Rate limiting, CORS, API keys, OAuth flows +- **Dependencies**: Known CVEs in libraries + +**Review Checklist**: +- [ ] Authentication mechanism reviewed +- [ ] Authorization boundaries checked +- [ ] All user inputs validated +- [ ] Sensitive data encrypted +- [ ] Secrets not hardcoded +- [ ] HTTPS enforced +- [ ] CORS configured correctly +- [ ] Rate limiting implemented +- [ ] Dependencies scanned for CVEs + +**Severity Levels**: +- **Critical**: Exploitable vulnerability, immediate data breach risk +- **High**: Security weakness requiring prompt attention +- **Medium**: Security concern to address in near term +- **Low**: Security improvement opportunity + +**Example Concerns**: +``` +1. **SQL Injection Vulnerability** (Severity: Critical) + - **Issue**: User input directly interpolated into SQL query + - **Location**: `src/db/users.js:23` + - **Impact**: Attacker can read/modify/delete any database record + - **Fix**: Use parameterized queries with prepared statements + - **Code**: + ```javascript + // Current (VULNERABLE) + const query = `SELECT * FROM users WHERE email = '${email}'`; + + // Recommended (SAFE) + const query = 'SELECT * FROM users WHERE email = ?'; + db.query(query, [email]); + ``` +``` + +**Best Practices to Reference**: +- OWASP Secure Coding Practices +- CWE (Common Weakness Enumeration) +- NIST guidelines +- Industry security standards + +--- + +### Performance Specialist + +**Role**: Optimizes system performance, scalability, and resource utilization. + +**Focus Areas**: +- **Query Optimization**: Database query efficiency, indexes, N+1 queries +- **Caching**: Cache strategies, TTL, invalidation, cache hits +- **Resource Utilization**: CPU, memory, disk I/O, network +- **Bottlenecks**: Profiling, hotspots, performance critical paths +- **Load Handling**: Concurrency, async operations, connection pooling +- **Scalability**: Horizontal/vertical scaling, load balancing +- **Frontend Performance**: Bundle size, lazy loading, rendering + +**Review Checklist**: +- [ ] Database queries optimized +- [ ] Proper indexing in place +- [ ] N+1 query problems identified +- [ ] Caching opportunities evaluated +- [ ] Async operations for I/O +- [ ] Resource usage profiled +- [ ] Scalability concerns addressed +- [ ] Frontend bundle size reasonable + +**Metrics to Measure**: +- Response time (p50, p95, p99) +- Throughput (requests/second) +- Database query time +- Cache hit rate +- Memory usage +- CPU utilization + +**Example Concerns**: +``` +1. **N+1 Query Problem** (Severity: High) + - **Issue**: Loading users in loop triggers 1000+ database queries + - **Location**: `src/controllers/orders.js:45-52` + - **Impact**: 15-second page load time, database overload + - **Fix**: Use eager loading to fetch all users in single query + - **Code**: + ```javascript + // Current (INEFFICIENT - N+1 queries) + const orders = await Order.findAll(); + for (const order of orders) { + order.user = await User.findById(order.userId); // N queries! + } + + // Recommended (EFFICIENT - 1 query) + const orders = await Order.findAll({ + include: [{ model: User }] + }); + ``` + - **Expected Improvement**: 15s → 0.3s (50x faster) +``` + +--- + +### Domain Expert + +**Role**: Ensures architecture accurately represents business domain and concepts. + +**Focus Areas**: +- **Domain Models**: Entities, value objects, aggregates +- **Business Logic**: Rules, workflows, calculations +- **Ubiquitous Language**: Consistent terminology +- **Bounded Contexts**: Clear domain boundaries +- **Business Rules**: Validation, invariants, constraints +- **Semantic Accuracy**: Code reflects domain accurately + +**Review Checklist**: +- [ ] Domain concepts clearly modeled +- [ ] Business logic in domain layer (not scattered) +- [ ] Ubiquitous language used consistently +- [ ] Bounded contexts well-defined +- [ ] Business rules enforced +- [ ] Domain invariants protected + +**Example Concerns**: +``` +1. **Anemic Domain Model** (Severity: Medium) + - **Issue**: `Order` class is data container with no business logic + - **Location**: `src/models/Order.js` + - **Impact**: Business logic scattered in controllers, hard to maintain + - **Fix**: Move order calculation and validation into Order class + - **Code**: + ```javascript + // Current (ANEMIC) + class Order { + constructor(items) { + this.items = items; + } + } + // Business logic in controller + const total = order.items.reduce((sum, item) => sum + item.price, 0); + + // Recommended (RICH DOMAIN MODEL) + class Order { + constructor(items) { + this.items = items; + } + + calculateTotal() { + return this.items.reduce((sum, item) => sum + item.price, 0); + } + + applyDiscount(discount) { + if (discount < 0 || discount > 1) { + throw new InvalidDiscountError(); + } + // Domain logic stays with domain object + } + } + ``` +``` + +--- + +### Maintainability Expert + +**Role**: Ensures code is maintainable, evolvable, and understandable. + +**Focus Areas**: +- **Code Quality**: Readability, clarity, simplicity +- **Technical Debt**: Code smells, anti-patterns, cruft +- **Documentation**: Comments, READMEs, inline docs +- **Testability**: Unit tests, test coverage, mocking +- **Complexity**: Cyclomatic complexity, coupling, cohesion +- **Refactoring**: Opportunities to improve structure + +**Review Checklist**: +- [ ] Code is readable and clear +- [ ] Functions/methods are focused +- [ ] Complexity is reasonable +- [ ] Technical debt identified +- [ ] Tests exist and are meaningful +- [ ] Documentation is adequate +- [ ] Code smells flagged + +**Code Smells to Watch For**: +- Long methods (>20-30 lines) +- Large classes (>300 lines) +- Deep nesting (>3 levels) +- Duplicate code +- Magic numbers +- God objects +- Feature envy + +**Example Concerns**: +``` +1. **God Class Anti-pattern** (Severity: Medium) + - **Issue**: `UserService` has 45 methods handling auth, profile, notifications, billing + - **Location**: `src/services/UserService.js` (1,200 lines) + - **Impact**: Hard to understand, test, modify; violates single responsibility + - **Fix**: Split into focused services + - **Recommended Structure**: + ``` + src/services/ + ├── AuthenticationService.js (login, logout, sessions) + ├── UserProfileService.js (profile CRUD) + ├── NotificationService.js (user notifications) + └── BillingService.js (user billing) + ``` + - **Benefit**: Each service <300 lines, single responsibility, easier testing +``` + +--- + +### Systems Architect + +**Role**: Evaluates overall system coherence, patterns, and architectural decisions. + +**Focus Areas**: +- **Architecture Patterns**: MVC, CQRS, Event Sourcing, Microservices +- **Component Interaction**: How pieces fit together +- **Separation of Concerns**: Proper layering and boundaries +- **Scalability**: System design for growth +- **Integration**: External system connections +- **Consistency**: Architectural principles applied consistently + +**Review Checklist**: +- [ ] Architecture pattern appropriately applied +- [ ] Components properly separated +- [ ] Dependencies flow correctly +- [ ] Scalability considered +- [ ] Integration points well-designed +- [ ] Architectural principles followed + +--- + +### AI Engineer + +**Role**: Reviews AI/ML integration, LLM applications, and agent systems. + +**Focus Areas**: +- **LLM Integration**: Prompt design, context management, token efficiency +- **Agent Orchestration**: Multi-agent coordination, task decomposition +- **Evaluation**: Metrics, benchmarks, quality assessment +- **Observability**: Logging, tracing, debugging AI behavior +- **RAG Systems**: Retrieval strategies, context relevance +- **Prompt Engineering**: Template design, chain-of-thought, few-shot + +**Review Checklist**: +- [ ] Prompts are well-designed and tested +- [ ] Context windows managed efficiently +- [ ] Evaluation metrics defined +- [ ] Observability implemented +- [ ] Error handling for AI failures +- [ ] Cost management (token usage) + +--- + +## Technology Specialists + +Add these when reviewing technology-specific code. + +### JavaScript Expert + +**Focus**: Modern JavaScript/TypeScript, async patterns, ES6+, Node.js + +**Key Areas**: +- Promises, async/await usage +- Error handling patterns +- Module system (ESM/CommonJS) +- TypeScript type safety +- Memory leaks in closures +- Event loop understanding + +**Common Issues**: +- Unhandled promise rejections +- Callback hell +- Blocking the event loop +- Type assertions bypassing safety +- Improper this binding + +--- + +### Python Expert + +**Focus**: Pythonic code, PEP compliance, async patterns + +**Key Areas**: +- PEP 8 style compliance +- Type hints (mypy) +- Generator/iterator usage +- Context managers +- Async/await patterns +- Package structure + +**Common Issues**: +- Non-Pythonic code +- Mutable default arguments +- Global state misuse +- Blocking I/O in async code +- Import cycles + +--- + +### Ruby Expert + +**Focus**: Ruby idioms, Rails conventions, metaprogramming + +**Key Areas**: +- Ruby idioms and patterns +- Rails conventions +- Metaprogramming (when/when not) +- ActiveRecord usage +- Gem dependencies +- RuboCop compliance + +**Common Issues**: +- Fighting Rails conventions +- N+1 queries in ActiveRecord +- Overuse of metaprogramming +- Callback hell in models +- Fat controllers + +--- + +### Go Expert + +**Focus**: Idiomatic Go, concurrency, simplicity + +**Key Areas**: +- Goroutines and channels +- Error handling (not panic) +- Interface design +- Context usage +- Standard library preference +- Concurrency patterns + +**Common Issues**: +- Goroutine leaks +- Ignoring errors +- Overuse of interfaces +- Improper context propagation +- Not following Go conventions + +--- + +### Rust Expert + +**Focus**: Ownership/borrowing, memory safety, zero-cost abstractions + +**Key Areas**: +- Ownership rules +- Lifetime annotations +- Error handling (Result) +- Unsafe code justification +- Async Rust patterns +- Zero-copy optimizations + +**Common Issues**: +- Fighting the borrow checker +- Unnecessary clones +- Unsafe code without documentation +- Blocking in async functions +- Not leveraging zero-cost abstractions + +--- + +## Creating New Specialists + +When a specialist doesn't exist in `.architecture/members.yml`: + +### Step 1: Define the Specialist + +Create a new member entry: + +```yaml +- id: [specialist_id] # e.g., graphql_specialist + name: "[Person Name]" + title: "[Specialist Title]" + specialties: + - "[Primary specialty]" + - "[Secondary specialty]" + - "[Tertiary specialty]" + disciplines: + - "[Discipline 1]" + - "[Discipline 2]" + skillsets: + - "[Skill 1]" + - "[Skill 2]" + domains: + - "[Domain 1]" + - "[Domain 2]" + perspective: "[One sentence describing their unique viewpoint]" +``` + +### Step 2: Define Their Focus + +Document what this specialist reviews: +- Primary focus areas +- Key concerns +- Review checklist +- Common issues +- Best practices to reference + +### Step 3: Add to Team + +Update `.architecture/members.yml` with the new specialist. + +Inform user: "I've added [Name] ([Title]) to your architecture team." + +--- + +## Review Quality Guidelines + +### Excellent Reviews Include + +1. **Specific Issues**: File paths, line numbers, code snippets +2. **Impact Analysis**: Why it matters, what breaks if not fixed +3. **Concrete Solutions**: Exact recommendations with code examples +4. **Effort Estimates**: Small/Medium/Large for each recommendation +5. **Priority**: Critical/High/Medium/Low severity +6. **Context**: Industry standards, best practices cited +7. **Trade-offs**: Acknowledge when recommendations have costs + +### Avoid + +1. **Vague Concerns**: "Code is messy" → Be specific +2. **Out of Domain**: Security specialist shouldn't review performance +3. **Surface-Level**: Provide deep expert-level insights +4. **No Solutions**: Every concern needs actionable fix +5. **Missing Context**: Explain why, not just what + +--- + +## Reference Templates + +For the complete review document structure, see [../assets/specialist-review-template.md](../assets/specialist-review-template.md). + +For member YAML format, see the setup-architect skill's member template. From 463de92431b20406870c4737201753672277b2e0 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:07:46 +0100 Subject: [PATCH 12/19] fix: Resolve test failures by adding missing dependency and fixing argparse conflict - Add 'responses' to dev dependencies in setup.py to fix ModuleNotFoundError. - Update opl.skelet.test_setup to allow passing explicit arguments to parser.parse_args(), preventing interference from pytest command-line arguments. - Update tests/test_skelet.py to use the new args parameter. Prompt: A trest is failing: ... ImportError while importing test module '/home/jhutar/Checkouts/opl/tests/test_cluster_read.py'. ... ModuleNotFoundError: No module named 'responses' ... Please fix it Generated-by: Gemini --- core/opl/skelet.py | 14 +++++++------- setup.py | 1 + tests/test_skelet.py | 2 +- 3 files changed, 9 insertions(+), 8 deletions(-) diff --git a/core/opl/skelet.py b/core/opl/skelet.py index f83700c..ebb77ca 100644 --- a/core/opl/skelet.py +++ b/core/opl/skelet.py @@ -50,7 +50,7 @@ def setup_logger(app_name, stderr_log_lvl): @contextmanager -def test_setup(parser, logger_name="root"): +def test_setup(parser, logger_name="root", args=None): parser.add_argument( "--status-data-file", default=os.getenv("STATUS_DATA_FILE", "/tmp/status-data.json"), @@ -68,20 +68,20 @@ def test_setup(parser, logger_name="root"): action="store_true", help="Show debug output", ) - args = parser.parse_args() + parsed_args = parser.parse_args(args) - if args.debug: + if parsed_args.debug: logger = setup_logger(logger_name, logging.DEBUG) - elif args.verbose: + elif parsed_args.verbose: logger = setup_logger(logger_name, logging.INFO) else: logger = setup_logger(logger_name, logging.WARNING) - logger.debug(f"Args: {args}") + logger.debug(f"Args: {parsed_args}") - sdata = status_data.StatusData(args.status_data_file) + sdata = status_data.StatusData(parsed_args.status_data_file) try: - yield (args, sdata) + yield (parsed_args, sdata) finally: sdata.save() diff --git a/setup.py b/setup.py index 3ccbf68..f391dfa 100644 --- a/setup.py +++ b/setup.py @@ -35,6 +35,7 @@ "black", "flake8", "pyfakefs", + "responses", ] }, ) diff --git a/tests/test_skelet.py b/tests/test_skelet.py index 1e4cb10..5ca9926 100644 --- a/tests/test_skelet.py +++ b/tests/test_skelet.py @@ -12,5 +12,5 @@ def test_test_setup(self): parser.add_argument( "--fake_arg", help="Just to catch test file name when calling tests" ) - with opl.skelet.test_setup(parser) as (args, status_data): + with opl.skelet.test_setup(parser, args=[]) as (args, status_data): self.assertIn("debug", args) From 866c69d3d57bfca9ea332cb3e3cf25d017b9522e Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:26:27 +0100 Subject: [PATCH 13/19] feat: Implement test coverage measurements with pytest-cov - Add pytest-cov to development dependencies in setup.py. - Create pytest.ini to configure coverage for core/opl and extras/opl. - Configure terminal and HTML coverage reports. Prompt: Implement test coverage measurements during the tests please. Generated-by: Gemini --- pytest.ini | 2 ++ setup.py | 1 + 2 files changed, 3 insertions(+) create mode 100644 pytest.ini diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 0000000..4829942 --- /dev/null +++ b/pytest.ini @@ -0,0 +1,2 @@ +[pytest] +addopts = --cov=core/opl --cov=extras/opl --cov-report=term-missing --cov-report=html diff --git a/setup.py b/setup.py index f391dfa..fe86c25 100644 --- a/setup.py +++ b/setup.py @@ -32,6 +32,7 @@ extras_require={ "dev": [ "pytest", + "pytest-cov", "black", "flake8", "pyfakefs", From 3151da8e0bdb2312f5e559ecc3fc6a7d6d420a61 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:27:21 +0100 Subject: [PATCH 14/19] chore: Clean up extraneous AI Software Architect framework files - Removed framework's own development files (.github, CHANGELOG, etc.) - Removed framework's own ADRs (ADR-001 through ADR-011) - Removed framework's own architecture reviews - Retained only project-specific configuration, principles, ADR-012, and 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a/.architecture/.claude-plugin/marketplace.json b/.architecture/.claude-plugin/marketplace.json deleted file mode 100644 index 155e878..0000000 --- a/.architecture/.claude-plugin/marketplace.json +++ /dev/null @@ -1,37 +0,0 @@ -{ - "name": "ai-software-architect", - "owner": { - "name": "AI Software Architect Project" - }, - "metadata": { - "description": "Architecture documentation tools and frameworks", - "version": "1.3.0" - }, - "plugins": [ - { - "name": "ai-software-architect", - "source": "./", - "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", - "version": "1.3.0", - "author": { - "name": "AI Software Architect Project" - }, - "homepage": "https://github.com/anthropics/ai-software-architect", - "repository": "https://github.com/anthropics/ai-software-architect", - "license": "MIT", - "keywords": [ - "architecture", - "adr", - "architectural-decision-records", - "documentation", - "architecture-reviews", - "pragmatic-mode", - "yagni", - "software-design", - "claude-code", - "claude-plugin" - ], - "category": "development-tools" - } - ] -} diff --git a/.architecture/.claude-plugin/plugin.json b/.architecture/.claude-plugin/plugin.json deleted file mode 100644 index 7e2ed1f..0000000 --- a/.architecture/.claude-plugin/plugin.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "name": "ai-software-architect", - "version": "1.3.0", - "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", - "author": { - "name": "AI Software Architect Project" - }, - "homepage": "https://github.com/anthropics/ai-software-architect", - "repository": "https://github.com/anthropics/ai-software-architect", - "license": "MIT", - "keywords": [ - "architecture", - "adr", - "documentation", - "reviews", - "decision-records", - "pragmatic-mode", - "claude-code", - "claude-plugin" - ], - "mcpServers": "./.mcp.json" -} diff --git a/.architecture/.claude/skills/ARCHITECTURE.md b/.architecture/.claude/skills/ARCHITECTURE.md deleted file mode 100644 index 37a39df..0000000 --- a/.architecture/.claude/skills/ARCHITECTURE.md +++ /dev/null @@ -1,324 +0,0 @@ -# Claude Skills Architecture Documentation - -**Last Updated**: 2025-12-04 -**Version**: 1.0.0 - -## Overview - -This document describes the architecture and patterns for AI Software Architect Claude Skills, based on industry best practices documented in [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/). - -## Current Architecture - -### Skill Structure - -**Simple Skills (<2K words):** -``` -.claude/skills/ -├── _patterns.md # Shared patterns and common logic -├── skill-name/ -│ └── SKILL.md # YAML frontmatter + full workflow -``` - -**Complex Skills (Refactored with Progressive Disclosure):** -``` -.claude/skills/ -├── _patterns.md # Shared patterns -├── ARCHITECTURE.md # This file -├── architecture-review/ # ✅ Refactored (Phase 2 PoC) -│ ├── SKILL.md # High-level workflow (522 words) -│ ├── references/ # Detailed docs (2,243 words) -│ │ ├── review-process.md -│ │ └── pragmatic-integration.md -│ └── assets/ # Templates (992 words) -│ └── review-template.md -├── setup-architect/ # ✅ Refactored (Phase 2A) -│ ├── SKILL.md # High-level workflow (776 words) -│ ├── references/ # Detailed docs (2,997 words) -│ │ ├── installation-procedures.md -│ │ └── customization-guide.md -│ └── assets/ # Templates (1,240 words) -│ ├── initial-analysis-template.md -│ └── member-template.yml -├── specialist-review/ # ✅ Refactored (Phase 2B) -│ ├── SKILL.md # High-level workflow (827 words) -│ ├── references/ # Detailed docs (1,869 words) -│ │ └── specialist-perspectives.md -│ └── assets/ # Templates (875 words) -│ └── specialist-review-template.md -``` - -### YAML Frontmatter Structure - -All skills MUST include: - -```yaml ---- -name: skill-name # Unique identifier -description: | # Action-oriented description with trigger phrases - Clear description. Use when [trigger phrases]. - Do NOT use for [anti-patterns]. -allowed-tools: Read,Write,... # Comma-separated list of permitted tools ---- -``` - -## Tool Permission Model (ADR-007) - -**Status**: ✅ Implemented (2025-12-04) - -All skills now restrict tool access via `allowed-tools` frontmatter following principle of least privilege. - -### Tool Permission Guidelines - -**Available Tools:** -- `Read`: Read files from filesystem -- `Write`: Create new files -- `Edit`: Modify existing files -- `Glob`: Pattern-based file searching -- `Grep`: Content searching -- `Bash`: Execute bash commands (can be scoped with wildcards) - -**Scoping Bash Commands:** -- `Bash(git:*)`: Only git commands -- `Bash(ls:*,grep:*)`: Only ls and grep commands -- `Bash`: Full bash access (use sparingly) - -### Current Tool Assignments - -| Skill | Allowed Tools | Rationale | -|-------|--------------|-----------| -| `list-members` | `Read` | Only reads members.yml | -| `architecture-status` | `Read,Glob,Grep` | Reads files and searches for patterns | -| `create-adr` | `Read,Write,Bash(ls:*,grep:*)` | Reads templates, writes ADRs, scans for numbering | -| `specialist-review` | `Read,Write,Glob,Grep` | Reads code, writes reviews, searches | -| `architecture-review` | `Read,Write,Glob,Grep,Bash(git:*)` | Full review capabilities + git status | -| `pragmatic-guard` | `Read,Edit` | Reads config, edits to enable mode | -| `setup-architect` | `Read,Write,Edit,Glob,Grep,Bash` | Broad access for installation | - -## Progressive Disclosure Pattern (ADR-008) - -**Status**: ✅ Implemented (Phase 2 Complete - 2025-12-04) - -### Complexity Thresholds - -| Word Count | Approach | Structure | -|-----------|----------|-----------| -| < 2,000 words | Flat file | SKILL.md only | -| 2,000 - 3,000 | Monitor | Consider refactoring if frequently modified | -| > 3,000 words | Progressive disclosure | SKILL.md + /references/ + /assets/ | - -### Current Skill Sizes - -| Skill | Original | Base (After) | Total (After) | Status | Structure | -|-------|----------|--------------|---------------|--------|-----------| -| `architecture-review` | 791 | 522 | 3,757 | ✅ Refactored | /references/ + /assets/ | -| `setup-architect` | 813 | 776 | 4,837 | ✅ Refactored | /references/ + /assets/ | -| `specialist-review` | 826 | 827 | 3,571 | ✅ Refactored | /references/ + /assets/ | -| `create-adr` | 2,400 | - | - | 📊 Monitor | Flat file (monitor growth) | -| `pragmatic-guard` | 1,200 | - | - | ✅ Optimal | Flat file | -| `architecture-status` | 800 | - | - | ✅ Optimal | Flat file | -| `list-members` | 200 | - | - | ✅ Optimal | Flat file | - -### Progressive Disclosure Benefits (Proven) - -**Token Efficiency**: Variable by starting optimization level -- architecture-review: 34% base reduction (791 → 522 words) -- setup-architect: 5% base reduction (813 → 776 words) -- specialist-review: 0% base reduction (826 → 827 words) -- **Average**: 13% base reduction -- **Annual savings**: ~18,380 tokens/year (estimated) - -**Content Expansion**: Massive increase in available detail -- architecture-review: +375% (791 → 3,757 words) -- setup-architect: +494% (813 → 4,837 words) -- specialist-review: +332% (826 → 3,571 words) -- **Average**: +400% content expansion - -**Maintainability**: Dramatically improved through modular structure -- 9 new reference and asset files created -- Clear separation: workflow vs procedures vs templates -- Easy to update specific sections without affecting core workflow -- Improved navigation and discoverability - -**Scalability**: Skills can provide comprehensive guidance without base bloat - -**Key Insight**: Pattern delivers value through multiple dimensions beyond token savings. Even skills with no base reduction (specialist-review) gain significant value through content expansion (332%) and improved maintainability. - -## Script-Based Operations (ADR-009) - -**Status**: ⏸️ Deferred - Waiting for trigger conditions - -### When to Use Scripts - -**Trigger Conditions (any one):** -1. Bash command construction causes bugs -2. ADR numbering conflicts occur -3. Third deterministic operation identified -4. Security concern with command construction - -**Candidates for Scripts:** -- ADR numbering (scan directory, find highest, increment) -- Member YAML parsing (parse and format) -- Version validation (check format, sanitize) -- Filename sanitization (remove dangerous chars) - -### Script Pattern (When Implemented) - -```bash -#!/bin/bash -# .claude/skills/scripts/next-adr-number.sh -# Usage: next-adr-number.sh [path-to-adrs-dir] -# Returns: Next ADR number (3 digits) - -# Input validation -# Deterministic logic -# Error handling -# Predictable output -``` - -## Skill Development Guidelines - -### Creating a New Skill - -1. **Determine Complexity**: - - Will it be >2K words? Consider progressive disclosure from start - - Does it need deterministic operations? Consider scripts if triggers met - -2. **Define Tool Permissions**: - - List actual tools needed - - Use principle of least privilege - - Scope Bash with wildcards where appropriate - -3. **Write YAML Frontmatter**: - ```yaml - --- - name: skill-name - description: | - Action-oriented description with trigger phrases. - Use when [specific user requests]. - Do NOT use for [anti-patterns]. - allowed-tools: Read,Write,... - --- - ``` - -4. **Structure Content**: - - High-level workflow in SKILL.md - - Reference `_patterns.md` for common operations - - Use `/references/` if skill >3K words - - Bundle templates in `/assets/` if needed - -5. **Document Related Skills**: - - Link to skills that should be used before/after - - Provide workflow examples - -### Modifying an Existing Skill - -1. **Check Current Size**: - - If approaching 3K words, consider splitting - -2. **Update Tool Permissions If Needed**: - - Add tools if new capabilities required - - Still follow least privilege - -3. **Maintain Consistency**: - - Follow established patterns - - Reference `_patterns.md` for common logic - -## Common Patterns - -See `.claude/skills/_patterns.md` for detailed patterns: - -- **Input Validation & Sanitization**: Filename sanitization, version validation -- **Error Handling**: Framework not set up, file not found, permission errors -- **File Loading**: Configuration, members, ADR lists -- **Reporting**: Success reports, status reports, review reports -- **Security**: Destructive operations safety, directory validation - -## Testing Skills - -### Manual Testing Checklist - -- [ ] Invoke skill with typical use cases -- [ ] Test with edge cases (large inputs, missing files, etc.) -- [ ] Verify tool permissions don't block required operations -- [ ] Check error handling for missing dependencies -- [ ] Validate output format and content -- [ ] Test related skill workflows - -### Security Testing - -- [ ] Attempt path traversal in inputs -- [ ] Try command injection in string parameters -- [ ] Verify sanitization patterns applied -- [ ] Check tool restrictions enforced - -## Migration Path - -### Phase 1: Tool Permissions (✅ Complete - 2025-12-04) -- [x] Add `allowed-tools` to all skills -- [x] Document pattern in this file -- [x] Create ADR-007 - -### Phase 2: Progressive Disclosure (✅ Complete - 2025-12-04) -- [x] Refactor `architecture-review` as proof of concept (PoC) -- [x] Measure token savings and usability -- [x] Decide on broader adoption (approved) -- [x] Refactor `setup-architect` (Phase 2A) -- [x] Refactor `specialist-review` (Phase 2B) -- [x] Document results and learnings - -**Results Summary:** -- 3 skills refactored with progressive disclosure pattern -- 13% average base reduction, 400% average content expansion -- Pattern validated across orchestration, setup, and analysis skill types -- Dramatically improved maintainability through modular structure - -**Detailed Results:** -- [Phase 2 PoC Results](./.././../architecture/comparisons/progressive-disclosure-poc-results.md) -- [Phase 2A Results](../../.architecture/comparisons/phase-2a-setup-architect-results.md) -- [Phase 2B Results](../../.architecture/comparisons/phase-2b-specialist-review-results.md) -- [Phase 2 Complete Summary](../../.architecture/comparisons/phase-2-complete-summary.md) - -### Phase 3: Script Infrastructure (⏸️ Deferred) -- [ ] Wait for trigger conditions -- [ ] Create `/scripts/` directory structure -- [ ] Implement first script with tests -- [ ] Document script API - -## Decision Records - -All architectural decisions documented: - -- **[ADR-007](../../.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md)**: Tool Permission Restrictions (Implemented) -- **[ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md)**: Progressive Disclosure Pattern (Implemented - Phase 2 Complete) -- **[ADR-009](../../.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md)**: Script-Based Operations (Accepted - Deferred) - -## External References - -- [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) - Industry best practices -- [Claude Skills Comparison Review](../../.architecture/comparisons/claude-skills-deep-dive-comparison.md) - Our implementation vs blog -- [Claude Skills Takeaways](../../.architecture/comparisons/claude-skills-takeaways.md) - Action items and recommendations - -## Contributing - -When contributing to skills: - -1. Review this architecture document -2. Follow established patterns from `_patterns.md` -3. Apply appropriate complexity level for skill size -4. Test thoroughly before committing -5. Update documentation if adding new patterns - -## Questions? - -- **"When should I use progressive disclosure?"** - When skill has distinct workflow vs detailed guidance sections, especially if >2K words. Pattern delivers value through content expansion and maintainability even without token savings. -- **"Will progressive disclosure save tokens?"** - Variable (0-34% based on starting optimization). Main value is in content expansion (300%+) and maintainability improvements. -- **"Do I need scripts?"** - Not yet, wait for trigger conditions (ADR-009) -- **"What tools can my skill use?"** - Only those needed; follow least privilege -- **"How do I test my skill?"** - Follow manual testing checklist above -- **"Can I reference other skills?"** - Yes, document in "Related Skills" section -- **"Should I refactor my skill now?"** - If >2K words with clear workflow vs detail separation, consider it. See Phase 2 results for expected outcomes. - ---- - -**Maintained By**: AI Software Architect Framework Contributors -**Questions/Issues**: See [GitHub Issues](https://github.com/codenamev/ai-software-architect/issues) diff --git a/.architecture/.claude/skills/_patterns.md b/.architecture/.claude/skills/_patterns.md deleted file mode 100644 index 429e139..0000000 --- a/.architecture/.claude/skills/_patterns.md +++ /dev/null @@ -1,918 +0,0 @@ -# Claude Skills Common Patterns - -This document contains reusable patterns referenced by AI Software Architect skills. These patterns promote consistency and reduce duplication across skills. - -**Note**: This is a reference document, not a skill itself. It does not have YAML frontmatter. - -## Table of Contents - -1. [Tool Permission Pattern](#tool-permission-pattern) -2. [Progressive Disclosure Pattern](#progressive-disclosure-pattern) -3. [Input Validation & Sanitization](#input-validation--sanitization) -4. [Error Handling](#error-handling) -5. [File Loading](#file-loading) -6. [Reporting Format](#reporting-format) -7. [Skill Workflow Template](#skill-workflow-template) - ---- - -## Tool Permission Pattern - -**Status**: ✅ Implemented across all skills (2025-12-04) -**Reference**: [ADR-007](../../.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) - -All skills MUST declare tool permissions via `allowed-tools` in YAML frontmatter. This implements principle of least privilege and limits blast radius of skill malfunctions. - -### Available Tools - -- **Read**: Read files from filesystem -- **Write**: Create new files -- **Edit**: Modify existing files -- **Glob**: Pattern-based file searching -- **Grep**: Content searching within files -- **Bash**: Execute bash commands (can be scoped) - -### Permission Guidelines - -**Principle of Least Privilege**: Only grant tools actually required for skill operation. - -**Bash Scoping**: Use wildcards to restrict bash commands: -- `Bash(git:*)` - Only git commands -- `Bash(ls:*,grep:*)` - Only ls and grep -- `Bash(npm:*,node:*)` - Only npm and node -- `Bash` - Full bash access (use sparingly) - -### Permission Levels by Skill Type - -**Read-Only Skills** (listing, status checks): -```yaml -allowed-tools: Read -``` - -**Search & Analysis Skills** (scanning, reporting): -```yaml -allowed-tools: Read,Glob,Grep -``` - -**Document Creation Skills** (ADRs, reviews): -```yaml -allowed-tools: Read,Write,Bash(ls:*,grep:*) -``` - -**Document Modification Skills** (updates, edits): -```yaml -allowed-tools: Read,Write,Edit,Glob,Grep -``` - -**Review & Analysis Skills** (comprehensive reviews): -```yaml -allowed-tools: Read,Write,Glob,Grep,Bash(git:*) -``` - -**Configuration Skills** (mode toggles): -```yaml -allowed-tools: Read,Edit -``` - -**Setup & Installation Skills** (framework setup): -```yaml -allowed-tools: Read,Write,Edit,Glob,Grep,Bash -``` - -### Current Skill Permissions - -| Skill | Tools | Rationale | -|-------|-------|-----------| -| `list-members` | `Read` | Only reads members.yml | -| `architecture-status` | `Read,Glob,Grep` | Scans files and searches | -| `create-adr` | `Read,Write,Bash(ls:*,grep:*)` | Creates ADRs, scans for numbering | -| `specialist-review` | `Read,Write,Glob,Grep` | Reviews code, writes reports | -| `architecture-review` | `Read,Write,Glob,Grep,Bash(git:*)` | Full reviews + git status | -| `pragmatic-guard` | `Read,Edit` | Reads/modifies config | -| `setup-architect` | `Read,Write,Edit,Glob,Grep,Bash` | Full installation access | - -### Adding Permissions to New Skills - -When creating a new skill, determine required tools: - -1. **List required operations**: - - Need to read files? → `Read` - - Need to create files? → `Write` - - Need to modify files? → `Edit` - - Need to search by pattern? → `Glob` - - Need to search content? → `Grep` - - Need bash commands? → `Bash(scoped:*)` or `Bash` - -2. **Apply minimum necessary set**: - - Start with minimal permissions - - Add only when operation actually requires it - - Scope Bash to specific command families - -3. **Add to frontmatter**: - ```yaml - --- - name: skill-name - description: ... - allowed-tools: Read,Write,Grep - --- - ``` - -4. **Test thoroughly**: - - Verify skill can perform all operations - - Confirm no permission errors - - Test edge cases - -### Security Considerations - -**Path Traversal**: Tools like Read, Write, Edit are bounded by Claude Code's security model, but skills should still validate user inputs. - -**Command Injection**: When using Bash, always sanitize user inputs using filename sanitization patterns. - -**Wildcard Safety**: Bash scoping reduces but doesn't eliminate risks. Still apply input validation. - -**Audit Regularly**: Review tool permissions when modifying skills to ensure they still follow least privilege. - -### Troubleshooting Permission Errors - -**Error: "Tool X not allowed"** -- Check skill's `allowed-tools` frontmatter -- Add required tool if operation is legitimate -- Consider if operation can be done with allowed tools - -**Error: "Bash command not allowed"** -- If using `Bash(scoped:*)`, ensure command matches scope -- Consider broadening scope: `Bash(git:*,npm:*)` -- As last resort, use full `Bash` access (document why) - -**Permission Too Broad?** -- Review actual tool usage in skill -- Remove unused tools from `allowed-tools` -- Narrow Bash scoping if possible - ---- - -## Progressive Disclosure Pattern - -**Status**: ✅ Implemented (Phase 2 Complete - 2025-12-04) -**Reference**: [ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) - -Organize complex skills into modular structure: high-level workflow + detailed references + templates. This pattern improves token efficiency, enables content expansion, and dramatically improves maintainability. - -### When to Use Progressive Disclosure - -**Apply pattern when:** -- Skill has distinct workflow vs detailed guidance sections -- Skill >2K words or contains extensive procedural detail -- Skill includes templates that could be extracted -- Future expansion anticipated (tech stacks, examples, checklists) -- Clear separation would improve navigability - -**Keep as flat file when:** -- Skill <2K words with homogeneous content -- Simple reporting or trivial operation -- No clear workflow vs detail separation -- Overhead exceeds benefits - -### Pattern Structure - -``` -skill-name/ -├── SKILL.md # High-level workflow (always loaded) -├── references/ # Detailed docs (loaded on-demand) -│ ├── detailed-process.md # Step-by-step procedures -│ └── integration-guide.md # Configuration and customization -└── assets/ # Templates and static files - └── template.md # Ready-to-use templates -``` - -### SKILL.md (Base Workflow) - -**Purpose**: High-level workflow that's always injected into context - -**Content**: -- YAML frontmatter (name, description, allowed-tools) -- Overview of skill purpose -- High-level workflow steps (numbered) -- Clear references to detailed docs -- Related skills and workflow examples - -**Size Target**: Keep concise - aim for 500-1000 words - -**Example Structure**: -```markdown ---- -name: skill-name -description: Clear description with trigger phrases -allowed-tools: Read,Write,Glob,Grep ---- - -# Skill Title - -Brief description of what this skill does. - -## Overview - -High-level summary (3-5 bullets) - -**Detailed guidance**: [references/detailed-process.md](references/detailed-process.md) -**Template**: [assets/template.md](assets/template.md) - -## High-Level Workflow - -### 1. [Step Name] -Brief description -- Key action -- Key action - -**Detailed procedures**: See [references/detailed-process.md § Step 1] - -### 2. [Step Name] -Brief description - -[Continue with high-level steps] - -## Related Skills -[References to before/after skills] -``` - -### references/ (Detailed Documentation) - -**Purpose**: Comprehensive guidance loaded only when needed - -**Content Types**: -- **Process details**: Step-by-step procedures with verification -- **Integration guides**: Configuration options and customization -- **Specialist guidance**: Expert perspectives and checklists -- **Best practices**: Industry standards and patterns -- **Examples**: Code samples, scenarios, use cases - -**Organization**: -- 1-3 focused reference files per skill -- Each file covers a distinct aspect -- Clear section headers for easy navigation -- Cross-reference to templates when relevant - -**Example references/detailed-process.md**: -```markdown -# Detailed Process: [Skill Name] - -## Prerequisites - -[Requirements and verification steps] - -## Step 1: [Name] - -**Purpose**: [Why this step] - -**Procedure**: -1. [Action] -2. [Action with bash example if needed] -3. [Verification step] - -**Common Issues**: -- [Issue]: [Solution] - -**Example**: -[Code or command example] - -[Continue with remaining steps in detail] -``` - -### assets/ (Templates) - -**Purpose**: Ready-to-use templates and static files - -**Content Types**: -- Document templates (ADRs, reviews, reports) -- Configuration templates (YAML, JSON) -- Code snippets or boilerplate - -**Format**: -- Complete, fillable templates -- Include placeholder text in [brackets] -- Add comments explaining each section -- Provide examples where helpful - -**Example assets/template.md**: -```markdown -# [Template Title] - -**[Field]**: [Value or placeholder] -**[Field]**: [Value] - -## [Section Name] - -[Guidance for filling this section] - -[Example or placeholder content] - -[Continue with complete template structure] -``` - -### Phase 2 Results (Proven Benefits) - -**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) - -**Token Efficiency**: -- Variable by starting optimization: 0-34% base reduction -- Average: 13% base reduction across 3 skills -- Annual savings: ~18,380 tokens/year (estimated) - -**Content Expansion**: -- Consistent 300%+ increase per skill -- architecture-review: +375% (791 → 3,757 words) -- setup-architect: +494% (813 → 4,837 words) -- specialist-review: +332% (826 → 3,571 words) -- Average: +400% content expansion - -**Maintainability**: -- 9 new reference and asset files created -- Clear separation: workflow vs procedures vs templates -- Isolated updates without affecting core workflow -- Dramatically improved navigation - -**Key Insight**: Pattern delivers value through multiple dimensions beyond token savings. Even skills with no base reduction gain significant value through content expansion and improved maintainability. - -### Implementation Guidelines - -**1. Analyze Current Skill**: -- Identify workflow steps (high-level) -- Identify detailed procedures (low-level) -- Identify templates embedded inline -- Determine natural separation points - -**2. Create Directory Structure**: -```bash -mkdir -p .claude/skills/skill-name/references -mkdir -p .claude/skills/skill-name/assets -``` - -**3. Extract Content**: -- **To SKILL.md**: Keep workflow, overview, high-level steps -- **To references/**: Move detailed procedures, comprehensive guides -- **To assets/**: Extract templates, configurations - -**4. Add References**: -- Link from SKILL.md to references with relative paths -- Use descriptive section anchors: `references/file.md § Section` -- Keep references concise and navigable - -**5. Test Loading**: -- Verify all reference links work -- Test skill execution with minimal loading -- Test skill execution with full reference loading -- Confirm templates are accessible - -**6. Measure Results**: -- Count words: before vs after (base and total) -- Estimate token savings -- Assess maintainability improvement -- Document in comparisons/ - -### Refactoring Checklist - -- [ ] Skill has clear workflow vs detail separation -- [ ] Created /references/ and /assets/ directories -- [ ] Extracted detailed procedures to references/ -- [ ] Extracted templates to assets/ -- [ ] Streamlined SKILL.md to high-level workflow -- [ ] Added clear references from SKILL.md to detailed docs -- [ ] Updated YAML frontmatter (name, description, allowed-tools) -- [ ] Tested skill execution -- [ ] Verified reference links work -- [ ] Measured before/after metrics (words, tokens) -- [ ] Documented results in .architecture/comparisons/ -- [ ] Updated ARCHITECTURE.md with new structure - -### Best Practices - -**Do**: -- Keep SKILL.md focused on workflow -- Make references/ comprehensive and detailed -- Extract templates to assets/ for reusability -- Use clear, descriptive file names -- Cross-reference between files appropriately -- Test all links after refactoring - -**Don't**: -- Duplicate content between SKILL.md and references/ -- Over-fragment (too many small reference files) -- Break mid-workflow (keep logical steps together) -- Forget to update allowed-tools in frontmatter -- Skip measuring and documenting results - -### Migration Path - -**Existing flat file skill** → **Progressive disclosure**: - -1. Read current SKILL.md and analyze content -2. Create directory structure (references/, assets/) -3. Extract detailed content to references/ -4. Extract templates to assets/ -5. Rewrite SKILL.md as high-level workflow with references -6. Test and verify -7. Measure and document results - -**Estimated effort**: 2-3 hours per skill - -### References - -- [Phase 2 PoC Results](../../.architecture/comparisons/progressive-disclosure-poc-results.md) -- [Phase 2A Results](../../.architecture/comparisons/phase-2a-setup-architect-results.md) -- [Phase 2B Results](../../.architecture/comparisons/phase-2b-specialist-review-results.md) -- [Phase 2 Complete Summary](../../.architecture/comparisons/phase-2-complete-summary.md) -- [ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) - ---- - -## Input Validation & Sanitization - -### Filename Sanitization Pattern - -Use when converting user input to filenames: - -``` -**Validate and Sanitize Input**: -- Remove path traversal: `..`, `/`, `\` -- Remove dangerous characters: null bytes, control characters -- Convert to lowercase kebab-case: - - Spaces → hyphens - - Remove special characters except hyphens and alphanumerics -- Limit length: max 80-100 characters -- Validate result matches: [a-z0-9-] pattern - -**Examples**: -✅ Valid: "User Authentication" → `user-authentication` -✅ Valid: "React Frontend" → `react-frontend` -❌ Invalid blocked: "../../../etc/passwd" → rejected -❌ Invalid blocked: "test\x00file" → rejected -``` - -### Version Number Validation Pattern - -Use for semantic version numbers: - -``` -**Version Validation**: -- Format: X.Y.Z (e.g., 1.2.3) -- Allow only: digits (0-9) and dots (.) -- Validate: 1-3 numeric segments separated by dots -- Convert dots to hyphens for filenames: 1.2.3 → 1-2-3 - -**Examples**: -✅ Valid: "2.1.0" → `2-1-0` -✅ Valid: "1.0" → `1-0` -❌ Invalid: "v2.1.0" → strip 'v' prefix -❌ Invalid: "2.1.0-beta" → reject or sanitize -``` - -### Specialist Role Validation Pattern - -Use for specialist role names: - -``` -**Role Validation**: -- Allow: letters, numbers, spaces, hyphens -- Convert to title case for display -- Convert to kebab-case for filenames -- Common roles: Security Specialist, Performance Expert, Domain Expert - -**Examples**: -✅ Valid: "Security Specialist" → display as-is, file: `security-specialist` -✅ Valid: "Ruby Expert" → display as-is, file: `ruby-expert` -❌ Invalid: "Security/Admin" → sanitize to `security-admin` -``` - ---- - -## Error Handling - -### Framework Not Set Up Pattern - -Use when .architecture/ doesn't exist: - -```markdown -The AI Software Architect framework is not set up yet. - -To get started: "Setup ai-software-architect" - -Once set up, you'll have: -- Architectural Decision Records (ADRs) -- Architecture reviews with specialized perspectives -- Team of architecture specialists -- Documentation tracking and status monitoring -``` - -### File Not Found Pattern - -Use when required files are missing: - -```markdown -Could not find [file/directory name]. - -This usually means: -1. Framework may not be set up: "Setup ai-software-architect" -2. File was moved or deleted -3. Wrong directory - -Expected location: [path] -``` - -### Permission Error Pattern - -Use for file system permission issues: - -```markdown -Permission denied accessing [file/path]. - -Please check: -1. File permissions: chmod +r [file] -2. Directory permissions: chmod +rx [directory] -3. You have access to this project directory -``` - -### Malformed YAML Pattern - -Use when YAML parsing fails: - -```markdown -Error reading [file]: YAML syntax error - -Common issues: -- Incorrect indentation (use spaces, not tabs) -- Missing quotes around special characters -- Unclosed strings or brackets - -Please check file syntax or restore from template: -[path to template] -``` - ---- - -## File Loading - -### Load Configuration Pattern - -Use for loading config.yml: - -``` -1. Check if `.architecture/config.yml` exists -2. If missing: Use default configuration (pragmatic_mode: disabled) -3. If exists: Parse YAML -4. Extract relevant settings: - - pragmatic_mode.enabled (boolean) - - pragmatic_mode.intensity (strict|balanced|lenient) - - Other mode-specific settings -5. Handle errors gracefully (malformed YAML → use defaults) -``` - -### Load Members Pattern - -Use for loading members.yml: - -``` -1. Check if `.architecture/members.yml` exists -2. If missing: Offer framework setup -3. If exists: Parse YAML -4. Extract member information: - - id, name, title (required) - - specialties, disciplines, skillsets, domains (arrays) - - perspective (string) -5. Validate structure (warn about missing fields) -6. Return array of member objects -``` - -### Load ADR List Pattern - -Use for scanning ADR directory: - -``` -1. Check `.architecture/decisions/adrs/` exists -2. List files matching: ADR-[0-9]+-*.md -3. Extract ADR numbers and titles from filenames -4. Sort by ADR number (numeric sort) -5. Optionally read file headers for: - - Status (Proposed, Accepted, Deprecated, Superseded) - - Date - - Summary -6. Return sorted list with metadata -``` - ---- - -## Reporting Format - -### Success Report Pattern - -Use after successfully completing a skill task: - -```markdown -[Skill Action] Complete: [Target] - -Location: [file path] -[Key metric]: [value] - -Key Points: -- [Point 1] -- [Point 2] -- [Point 3] - -Next Steps: -- [Action 1] -- [Action 2] -``` - -**Example**: -```markdown -ADR Created: Use PostgreSQL Database - -Location: .architecture/decisions/adrs/ADR-005-use-postgresql.md -Status: Accepted - -Key Points: -- Decision: PostgreSQL over MySQL for JSONB support -- Main benefit: Better performance for semi-structured data -- Trade-off: Team needs PostgreSQL expertise - -Next Steps: -- Review with Performance Specialist -- Update deployment documentation -- Plan migration timeline -``` - -### Status Report Pattern - -Use for providing status/health information: - -```markdown -# [Status Type] Report - -**Report Date**: [Date] -**Health Status**: Excellent | Good | Needs Attention | Inactive - -## Summary - -**Key Metrics**: -- [Metric 1]: [value] -- [Metric 2]: [value] -- [Metric 3]: [value] - -## Detailed Findings - -[Sections with specific information] - -## Recommendations - -[Actionable next steps based on current state] -``` - -### Review Report Pattern - -Use for architecture and specialist reviews: - -```markdown -# [Review Type]: [Target] - -**Reviewer**: [Name/Role] -**Date**: [Date] -**Assessment**: Excellent | Good | Adequate | Needs Improvement | Critical Issues - -## Executive Summary -[2-3 sentences] - -**Key Findings**: -- [Finding 1] -- [Finding 2] - -## [Detailed Analysis Sections] - -## Recommendations - -### Immediate (0-2 weeks) -1. **[Action]**: [Details] - -### Short-term (2-8 weeks) -1. **[Action]**: [Details] - -### Long-term (2-6 months) -1. **[Action]**: [Details] -``` - ---- - -## Skill Workflow Template - -### Standard Skill Structure - -All skills should follow this structure: - -```markdown ---- -name: skill-name -description: Clear description with trigger phrases. Use when... Do NOT use for... -allowed-tools: [Read, Write, Edit, Glob, Grep, Bash] # Optional: restrict for security ---- - -# Skill Title - -One-line description of what this skill does. - -## Process - -### 1. [First Step] -- Action item -- Action item - -### 2. [Second Step] -- Action item -- Action item - -[Continue with numbered steps] - -### N. Report to User -[Use appropriate reporting pattern] - -## [Optional Sections] - -### When to Use -- Scenario 1 -- Scenario 2 - -### When NOT to Use -- Scenario 1 -- Scenario 2 - -## Related Skills - -**Before This Skill**: -- "[Related skill]" - [Why] - -**After This Skill**: -- "[Related skill]" - [Why] - -**Workflow Examples**: -1. [Skill chain example 1] -2. [Skill chain example 2] - -## Error Handling -- [Error type]: [How to handle] -- [Error type]: [How to handle] - -## Notes -- Implementation note -- Best practice -- Important consideration -``` - ---- - -## Destructive Operations Safety Pattern - -Use for operations that delete or modify files irreversibly: - -``` -**CRITICAL SAFEGUARDS**: -1. Verify current directory context - - Check for project markers (package.json, .git, README.md, etc.) - - Confirm we're in expected location - -2. Verify target exists and is correct - - Check file/directory exists: `[ -e /path/to/target ]` - - Verify it's what we expect (check contents or structure) - -3. Verify target is safe to modify/delete - - For .git removal: verify it's template repo, not project repo - - Check .git/config contains expected template URL - - Ensure no uncommitted work or important history - -4. Use absolute paths - - Get absolute path: `$(pwd)/relative/path` - - Never use relative paths with rm -rf - -5. Never use wildcards - - ❌ Bad: `rm -rf .architecture/.git*` - - ✅ Good: `rm -rf $(pwd)/.architecture/.git` - -6. Stop and ask if verification fails - - **STOP AND ASK USER** if any check fails - - Explain what failed and why it's unsafe - - Let user confirm or abort - -**Example Safe Deletion**: -```bash -# 1. Verify we're in project root -if [ ! -f "package.json" ] && [ ! -f ".git/config" ]; then - echo "ERROR: Not in project root" - exit 1 -fi - -# 2. Verify target exists -if [ ! -d ".architecture/.git" ]; then - echo "Nothing to remove" - exit 0 -fi - -# 3. Verify it's the template repo -if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then - echo "ERROR: .architecture/.git doesn't appear to be template repo" - echo "STOPPING - User confirmation required" - exit 1 -fi - -# 4. Safe removal with absolute path -rm -rf "$(pwd)/.architecture/.git" -``` -``` - ---- - -## Directory Structure Validation Pattern - -Use when skills need specific directory structures: - -``` -**Directory Structure Check**: -1. Check `.architecture/` exists - - If missing: Suggest "Setup ai-software-architect" - -2. Check required subdirectories: - - `.architecture/decisions/adrs/` - - `.architecture/reviews/` - - `.architecture/templates/` - - `.architecture/recalibration/` - - `.architecture/comparisons/` - -3. Create missing subdirectories if skill will use them - - Use: `mkdir -p .architecture/[subdirectory]` - -4. Verify key files exist: - - `.architecture/members.yml` - - `.architecture/principles.md` - - `.architecture/config.yml` (optional, use defaults if missing) - -5. Report issues clearly: - - Missing directories: Create them - - Missing required files: Suggest setup or provide template - - Permission issues: Report and suggest fixes -``` - ---- - -## Usage Notes - -### How to Reference Patterns in Skills - -In skill files, reference patterns like this: - -```markdown -### 3. Validate Input -See [Input Validation & Sanitization](#input-validation--sanitization) in _patterns.md. - -Apply filename sanitization pattern to user-provided title. -``` - -### When to Add New Patterns - -Add new patterns when: -1. Same logic appears in 3+ skills -2. Pattern solves a common problem -3. Pattern improves security or reliability -4. Pattern promotes consistency - -### When NOT to Extract Patterns - -Don't extract when: -1. Logic is skill-specific -2. Pattern would be more complex than inline code -3. Pattern only used in 1-2 skills -4. Extraction reduces clarity - ---- - -## Version History - -**v1.2** (2025-12-04) -- Added progressive disclosure pattern (ADR-008) -- Documented modular skill structure (SKILL.md + /references/ + /assets/) -- Included Phase 2 proven results and metrics -- Added implementation guidelines and refactoring checklist -- Provided best practices for applying pattern -- Added migration path for existing skills - -**v1.1** (2025-12-04) -- Added tool permission pattern (ADR-007) -- Documented `allowed-tools` frontmatter requirement -- Added permission guidelines by skill type -- Added Bash scoping examples -- Added security considerations for tool permissions -- Added troubleshooting guide for permission errors - -**v1.0** (2025-11-12) -- Initial patterns document -- Input validation patterns -- Error handling patterns -- File loading patterns -- Reporting format patterns -- Skill workflow template -- Destructive operations safety pattern -- Directory structure validation pattern diff --git a/.architecture/.claude/skills/architecture-review/SKILL.md b/.architecture/.claude/skills/architecture-review/SKILL.md deleted file mode 100644 index 0a70748..0000000 --- a/.architecture/.claude/skills/architecture-review/SKILL.md +++ /dev/null @@ -1,132 +0,0 @@ ---- -name: architecture-review -description: Conducts a comprehensive multi-perspective architecture review using ALL architecture team members. Use when the user requests "Start architecture review", "Full architecture review", "Review architecture for version X.Y.Z", "Conduct comprehensive review", or when they want assessment from multiple perspectives. Do NOT use for single-specialist reviews (use specialist-review instead) or for status checks (use architecture-status instead). -allowed-tools: Read,Write,Glob,Grep,Bash(git:*) ---- - -# Architecture Review - -Conducts comprehensive multi-perspective architecture reviews with all team members. - -## Process Overview - -1. **Determine Scope** - Identify what to review (version, feature, or component) -2. **Load Team** - Read members from `.architecture/members.yml` and check pragmatic mode -3. **Analyze System** - Examine architecture using Read, Glob, Grep, and git tools -4. **Individual Reviews** - Each member reviews from their specialized perspective -5. **Collaborative Discussion** - Synthesize findings and establish priorities -6. **Create Document** - Generate comprehensive review using template -7. **Report Results** - Summarize findings and next steps for user - -**Detailed guidance**: [references/review-process.md](references/review-process.md) - -## Workflow Steps - -### 1. Determine Scope - -Identify review target and create filename: -- **Version**: "version X.Y.Z" → `X-Y-Z.md` -- **Feature**: "feature name" → `feature-kebab-case.md` -- **Component**: "component name" → `component-kebab-case.md` - -Apply input validation (see `_patterns.md` § Filename Sanitization). - -### 2. Load Configuration and Team - -```bash -cat .architecture/config.yml # Check pragmatic_mode.enabled -cat .architecture/members.yml # Load all members -``` - -Include Pragmatic Enforcer if pragmatic mode enabled for reviews. - -### 3. Analyze the Target - -Use available tools to examine the system: -- `Read` - Code, configs, documentation -- `Glob` - Find files by pattern -- `Grep` - Search for specific patterns -- `Bash(git:*)` - Git history and status - -Focus based on review type: -- **Version**: Overall architecture, components, patterns, technical debt -- **Feature**: Implementation, integration, security, performance -- **Component**: Structure, dependencies, boundaries, interfaces - -### 4. Conduct Individual Member Reviews - -For each member in `members.yml`, write a review including: -- Perspective statement -- Key observations (3-5) -- Strengths (3-5) -- Concerns with impact and recommendations (3-7) -- Prioritized recommendations with effort estimates (3-7) - -**Format details**: [references/review-process.md § Individual Member Review Format](references/review-process.md#individual-member-review-format) - -**Pragmatic integration**: If enabled, add pragmatic analysis after each member. See [references/pragmatic-integration.md](references/pragmatic-integration.md) - -### 5. Facilitate Collaborative Discussion - -Synthesize findings: -- Identify common concerns -- Discuss disagreements -- Establish consensus -- Prioritize: Critical (0-2 weeks) | Important (2-8 weeks) | Nice-to-Have (2-6 months) - -**Discussion format**: [references/review-process.md § Collaborative Discussion](references/review-process.md#collaborative-discussion-process) - -### 6. Create Review Document - -Load template and fill in all sections: -```bash -cat .claude/skills/architecture-review/assets/review-template.md -``` - -Include: -- Executive summary and overall assessment -- Individual member reviews -- Collaborative discussion -- Consolidated findings (strengths, improvements, debt, risks) -- Recommendations (immediate, short-term, long-term) -- Success metrics and follow-up plan - -Save to `.architecture/reviews/[filename].md` - -**Template**: [assets/review-template.md](assets/review-template.md) - -### 7. Report to User - -``` -Architecture Review Complete: [Target] - -Location: .architecture/reviews/[filename].md -Overall Assessment: [Strong | Adequate | Needs Improvement] - -Top 3 Priorities: -1. [Priority 1] -2. [Priority 2] -3. [Priority 3] - -Immediate Actions: -- [Action 1] -- [Action 2] - -Next Steps: -- Review with team -- "Start architecture recalibration for [target]" -- Create ADRs for key decisions -``` - -## Related Skills - -**Before**: `architecture-status`, `list-members` -**During**: `specialist-review`, `create-adr` -**After**: `architecture-recalibration`, `create-adr` - -## Documentation - -- **Process guide**: [references/review-process.md](references/review-process.md) -- **Pragmatic mode**: [references/pragmatic-integration.md](references/pragmatic-integration.md) -- **Template**: [assets/review-template.md](assets/review-template.md) -- **Patterns**: [../_patterns.md](../_patterns.md) diff --git a/.architecture/.claude/skills/architecture-review/assets/review-template.md b/.architecture/.claude/skills/architecture-review/assets/review-template.md deleted file mode 100644 index c97e2bf..0000000 --- a/.architecture/.claude/skills/architecture-review/assets/review-template.md +++ /dev/null @@ -1,294 +0,0 @@ -# Architecture Review: [Target] - -**Date**: [YYYY-MM-DD] -**Review Type**: Version | Feature | Component -**Reviewers**: [List all participating members] - -## Executive Summary - -[Write 2-3 paragraphs summarizing the overall state of the architecture, key findings, and critical actions needed. This should be readable by non-technical stakeholders.] - -**Overall Assessment**: Strong | Adequate | Needs Improvement - -**Key Findings**: -- [Finding 1 - Most significant discovery] -- [Finding 2 - Second most significant] -- [Finding 3 - Third most significant] - -**Critical Actions**: -- [Action 1 - Most urgent action required] -- [Action 2 - Second most urgent] - ---- - -## System Overview - -[Provide context about what was reviewed. Include: -- Version number or feature name -- Scope of review (whole system, specific component, feature) -- Key technologies and frameworks -- Architecture style (monolith, microservices, etc.) -- Team size and structure -- Any relevant constraints or context] - ---- - -## Individual Member Reviews - -[Insert each member's review using the format from references/review-process.md] - -### [Member Name] - [Title] - -**Perspective**: [Their unique viewpoint] - -#### Key Observations -- [Observation 1] -- [Observation 2] - -#### Strengths -1. **[Strength]**: [Description] - -#### Concerns -1. **[Concern]** (Impact: High/Medium/Low) - - **Issue**: [What's wrong] - - **Why it matters**: [Impact] - - **Recommendation**: [What to do] - -#### Recommendations -1. **[Recommendation]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) - - **What**: [Action] - - **Why**: [Benefit] - - **How**: [Approach] - -[If pragmatic mode enabled, add Pragmatic Enforcer Analysis section here - see references/pragmatic-integration.md] - -[Repeat for each member] - ---- - -## Collaborative Discussion - -[Synthesize findings from all members. Show how different perspectives interact and what consensus emerges.] - -**Opening Context**: - -**[Systems Architect]**: "[Opening statement]" - -**[Domain Expert]**: "[Response or complementary view]" - -[Continue natural discussion flow between members] - -### Common Ground - -The team agrees on: -1. [Consensus point 1] -2. [Consensus point 2] -3. [Consensus point 3] - -### Areas of Debate - -**Topic: [Topic Title]** -- **[Member 1]**: [Their position and reasoning] -- **[Member 2]**: [Their position and reasoning] -- **Resolution**: [How team reconciles different views] - -### Priorities Established - -**Critical (Address Immediately)**: -1. [Critical priority with brief justification] -2. [Critical priority] - -**Important (Address Soon)**: -1. [Important priority] -2. [Important priority] - -**Nice-to-Have (Consider Later)**: -1. [Nice-to-have improvement] -2. [Nice-to-have improvement] - ---- - -## Consolidated Findings - -### Strengths - -1. **[Strength Title]**: [Description of what's working well, why it's valuable, and how to sustain it] -2. **[Strength Title]**: [Description] -3. **[Strength Title]**: [Description] - -[Aim for 4-7 key strengths] - -### Areas for Improvement - -1. **[Area Title]**: - - **Current state**: [What exists now] - - **Desired state**: [What it should be] - - **Gap**: [What's missing] - - **Priority**: High | Medium | Low - - **Impact**: [Why this matters] - -2. **[Area Title]**: [Details] - -[Aim for 5-10 areas depending on review scope] - -### Technical Debt - -**High Priority**: -- **[Debt Item]**: - - **Impact**: [How it affects development/operations] - - **Resolution**: [What needs to be done] - - **Effort**: Small | Medium | Large - - **Recommended Timeline**: [When to address] - -**Medium Priority**: -- **[Debt Item]**: [Details] - -**Low Priority**: -- **[Debt Item]**: [Details] - -### Risks - -**Technical Risks**: -- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) - - **Description**: [What could go wrong] - - **Mitigation**: [How to reduce or eliminate risk] - - **Owner**: [Who should monitor/address] - -**Business Risks**: -- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) - - **Description**: [Business impact] - - **Mitigation**: [How to address] - -**Operational Risks**: -- **[Risk Title]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) - - **Description**: [Operations/reliability concern] - - **Mitigation**: [How to address] - ---- - -## Recommendations - -### Immediate (0-2 weeks) - -1. **[Action Title]** - - **Why**: [Problem being solved or value being created] - - **How**: [High-level implementation approach] - - **Owner**: [Team or person responsible] - - **Success Criteria**: [How to know it's done successfully] - - **Estimated Effort**: [Time or story points] - -2. **[Action Title]**: [Details] - -### Short-term (2-8 weeks) - -1. **[Action Title]** - - **Why**: [Justification] - - **How**: [Approach] - - **Owner**: [Responsible party] - - **Success Criteria**: [Completion criteria] - - **Estimated Effort**: [Effort estimate] - -2. **[Action Title]**: [Details] - -### Long-term (2-6 months) - -1. **[Action Title]** - - **Why**: [Strategic value or risk mitigation] - - **How**: [High-level roadmap] - - **Owner**: [Responsible party] - - **Success Criteria**: [Long-term goals] - - **Estimated Effort**: [Effort estimate] - -2. **[Action Title]**: [Details] - ---- - -## Success Metrics - -Define measurable criteria to track improvement: - -1. **[Metric Name]**: - - **Current**: [Current value] - - **Target**: [Target value] - - **Timeline**: [When to achieve] - - **Measurement**: [How to measure] - -2. **[Metric Name]**: Current → Target (Timeline) - -3. **[Metric Name]**: Current → Target (Timeline) - -[Examples: -- Test Coverage: 45% → 75% (3 months) -- Build Time: 15 min → 5 min (6 weeks) -- P95 Response Time: 500ms → 200ms (2 months) -- Code Review Time: 2 days → 4 hours (1 month) -] - ---- - -## Follow-up - -**Next Review**: [Specific date or milestone] - -**Tracking**: [How recommendations will be tracked] -- Create GitHub issues for immediate actions -- Add to sprint backlog -- Use architecture recalibration process (see below) - -**Recalibration**: -After implementing recommendations, conduct architecture recalibration to assess progress: -``` -"Start architecture recalibration for [target]" -``` - -**Accountability**: -- [Who is responsible for tracking implementation] -- [How often to check progress - weekly, bi-weekly, etc.] -- [Where to document status updates] - ---- - -## Related Documentation - -**Architectural Decision Records**: -- [ADR-XXX: Title](../decisions/adrs/ADR-XXX-title.md) - [How it relates to this review] -- [ADR-YYY: Title](../decisions/adrs/ADR-YYY-title.md) - [Relationship] - -**Previous Reviews**: -- [Previous review filename] - [Date] - [How architecture has evolved since then] - -**Referenced Documents**: -- [Document title] - [Link] - [Relevance] - ---- - -## Appendix - -### Review Methodology - -This review was conducted using the AI Software Architect framework with the following team members: - -- **Systems Architect**: Overall system coherence and patterns -- **Domain Expert**: Business domain representation -- **Security Specialist**: Security analysis and threat modeling -- **Performance Specialist**: Performance and scalability -- **Maintainability Expert**: Code quality and technical debt -- [Additional members as applicable] - -Each member reviewed independently, then collaborated to synthesize findings and prioritize recommendations. - -[If pragmatic mode was enabled, note:] -**Pragmatic Mode**: [Strict | Balanced | Lenient] -- Complexity ratio target: [<1.0 | <1.5 | <2.0] -- All recommendations evaluated through YAGNI lens - -### Glossary - -[If needed, define domain-specific terms or acronyms used in the review] - -- **[Term]**: [Definition] -- **[Acronym]**: [Expansion and meaning] - ---- - -**Review Complete** diff --git a/.architecture/.claude/skills/architecture-review/references/pragmatic-integration.md b/.architecture/.claude/skills/architecture-review/references/pragmatic-integration.md deleted file mode 100644 index 169d152..0000000 --- a/.architecture/.claude/skills/architecture-review/references/pragmatic-integration.md +++ /dev/null @@ -1,298 +0,0 @@ -# Pragmatic Mode Integration for Architecture Reviews - -This document describes how to integrate Pragmatic Enforcer analysis when pragmatic mode is enabled in `.architecture/config.yml`. - -## When to Include Pragmatic Analysis - -**Check Configuration**: Read `.architecture/config.yml`: - -```yaml -pragmatic_mode: - enabled: true - intensity: strict | balanced | lenient - applies_to: - - reviews - - adrs - - implementation -``` - -**If `pragmatic_mode.enabled == true` AND `reviews` is in `applies_to`**: Include Pragmatic Enforcer as a reviewer. - ---- - -## Pragmatic Enforcer Review Format - -The Pragmatic Enforcer reviews each member's recommendations through a YAGNI (You Aren't Gonna Need It) lens. - -### After Each Member's Review - -Add this analysis section immediately following each member's recommendations: - -```markdown -#### Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: [Strict | Balanced | Lenient] - -[For each recommendation from this member, apply pragmatic analysis] - -##### Recommendation: [Recommendation Title] - -**Necessity Assessment** (0-10): -- **Current need**: [Is this addressing a current, concrete problem?] -- **Future need**: [Likelihood and timeframe for actually needing this] -- **Cost of waiting**: [What breaks if we defer? What's the cost of implementing later?] -- **Evidence of need**: [What concrete evidence justifies this now?] -- **Score**: [X/10] - -**Complexity Assessment** (0-10): -- **Added complexity**: [What complexity does this introduce?] -- **Maintenance burden**: [Ongoing cost to maintain this] -- **Learning curve**: [Impact on team understanding] -- **Dependencies introduced**: [New dependencies or abstractions] -- **Score**: [X/10] - -**Simpler Alternative**: -[Propose a simpler approach that meets current actual requirements, or explain why this is already minimal] - -**Pragmatic Recommendation**: -- ✅ **Implement now**: [Clear current need, appropriate complexity] -- ⚠️ **Simplified version**: [Implement minimal version, defer bells and whistles] -- ⏸️ **Defer**: [Wait for trigger conditions] -- ❌ **Skip**: [Not needed, over-engineering] - -**Justification**: [Clear reasoning for recommendation] - -**If Deferring**: -- **Trigger conditions**: [What would trigger implementing this?] -- **Minimal viable alternative**: [What's the simplest thing that could work now?] - -**Pragmatic Score**: -- Necessity: [X/10] -- Complexity: [X/10] -- Ratio: [Complexity/Necessity = X.X] - -**Target Ratios by Mode**: -- Strict: <1.0 (complexity should be less than necessity) -- Balanced: <1.5 (moderate complexity acceptable for clear need) -- Lenient: <2.0 (higher complexity tolerated for strategic value) - -**Assessment**: [Appropriate engineering | Over-engineering | Under-engineering] -``` - ---- - -## Pragmatic Mode Intensity Levels - -### Strict Mode (Ratio Target: <1.0) - -**Philosophy**: Only implement what's absolutely necessary right now. - -**Approach**: -- Challenge every abstraction -- Defer anything speculative -- Require concrete evidence of current need -- Favor simple, direct solutions -- Question best practices if not clearly applicable - -**Use When**: Tight timeline, small team, MVP, prototyping - -### Balanced Mode (Ratio Target: <1.5) - -**Philosophy**: Implement current needs thoughtfully with reasonable future considerations. - -**Approach**: -- Allow appropriate abstractions -- Defer obvious speculation -- Accept moderate complexity for clear benefits -- Balance pragmatism with code quality -- Apply best practices when they add clear value - -**Use When**: Normal development, sustainable pace, balanced priorities - -### Lenient Mode (Ratio Target: <2.0) - -**Philosophy**: Allow strategic complexity for longer-term benefits. - -**Approach**: -- Permit forward-looking designs -- Accept abstractions for anticipated growth -- Allow higher complexity for strategic value -- Consider longer time horizons -- Apply best practices proactively - -**Use When**: Building platforms, long-term projects, infrastructure - ---- - -## Examples of Pragmatic Analysis - -### Example 1: Caching Layer Recommendation (Balanced Mode) - -**Original Recommendation**: "Add Redis caching layer for all database queries" - -**Pragmatic Analysis**: - -**Necessity Assessment**: 7/10 -- Current need: Page load times are 500ms, target is <200ms -- Future need: Traffic growing 20% monthly -- Cost of waiting: User experience degrading, churn risk -- Evidence: Metrics show 60% of queries are duplicate reads -- Score: 7/10 - -**Complexity Assessment**: 6/10 -- Added complexity: New Redis dependency, cache invalidation logic -- Maintenance: Cache coherency, Redis ops, monitoring -- Learning curve: Team familiar with Redis -- Dependencies: Redis server, connection pooling -- Score: 6/10 - -**Simpler Alternative**: -Start with application-level caching (LRU cache in memory) for hot queries only. Add Redis when in-memory is insufficient. - -**Pragmatic Recommendation**: ⚠️ **Simplified version** - -**Justification**: Current need is clear (7/10) but complexity is moderate (6/10). Start simpler with in-memory caching for most impactful queries. This delivers 80% of benefit with 30% of complexity. Upgrade to Redis when evidence shows memory caching is insufficient. - -**Pragmatic Score**: -- Necessity: 7/10 -- Complexity: 6/10 -- Ratio: 0.86 (<1.5 threshold = acceptable if simplified) - -**Assessment**: Appropriate engineering with simplification - ---- - -### Example 2: Microservices Architecture (Balanced Mode) - -**Original Recommendation**: "Split monolith into 12 microservices" - -**Pragmatic Analysis**: - -**Necessity Assessment**: 3/10 -- Current need: Monolith works, no deployment bottlenecks -- Future need: "Might scale better" - speculative -- Cost of waiting: None - can extract services when bottlenecks emerge -- Evidence: No concrete scaling problems, 2-person team -- Score: 3/10 - -**Complexity Assessment**: 9/10 -- Added complexity: Service boundaries, inter-service communication, distributed tracing, API versioning -- Maintenance: 12 services to deploy, monitor, debug -- Learning curve: Team inexperienced with distributed systems -- Dependencies: Service mesh, API gateway, distributed monitoring -- Score: 9/10 - -**Simpler Alternative**: -Keep monolith. Extract services only when you have concrete evidence of bottlenecks. Start with 1-2 services for proven pain points. - -**Pragmatic Recommendation**: ❌ **Skip** - -**Justification**: Massive complexity (9/10) with minimal current need (3/10). This is premature optimization and over-engineering. Wait for actual scaling problems before adding distributed systems complexity. - -**If Deferring**: -- **Trigger conditions**: Deploy time >30 min, scaling bottlenecks measured, >5 developers working in same code -- **Minimal alternative**: Keep monolith, use modules for internal boundaries - -**Pragmatic Score**: -- Necessity: 3/10 -- Complexity: 9/10 -- Ratio: 3.0 (>> 1.5 threshold = over-engineering) - -**Assessment**: Over-engineering - defer - ---- - -### Example 3: Security Vulnerability Fix (Any Mode) - -**Original Recommendation**: "Fix SQL injection vulnerability in login endpoint" - -**Pragmatic Analysis**: - -**Necessity Assessment**: 10/10 -- Current need: Critical security vulnerability -- Future need: N/A - needed now -- Cost of waiting: Data breach, compliance violation -- Evidence: Security audit found SQL injection -- Score: 10/10 - -**Complexity Assessment**: 2/10 -- Added complexity: Use parameterized queries (standard practice) -- Maintenance: Reduces maintenance risk -- Learning curve: None - team knows parameterized queries -- Dependencies: None -- Score: 2/10 - -**Simpler Alternative**: None - this IS the simple solution - -**Pragmatic Recommendation**: ✅ **Implement now** - -**Justification**: Critical necessity (10/10) with minimal complexity (2/10). No debate - implement immediately. - -**Pragmatic Score**: -- Necessity: 10/10 -- Complexity: 2/10 -- Ratio: 0.2 (<< 1.5 threshold) - -**Assessment**: Essential engineering - ---- - -## Integration in Collaborative Discussion - -During collaborative discussion, the Pragmatic Enforcer should: - -1. **Challenge Complexity**: Question whether proposed solutions are minimal -2. **Require Evidence**: Ask for concrete evidence of need, not speculation -3. **Propose Simplifications**: Suggest simpler alternatives for consideration -4. **Balance Views**: Acknowledge when complexity is justified -5. **Set Priorities**: Help team focus on high-impact, low-complexity wins - -### Example Discussion Snippet - -```markdown -**Security Specialist**: "We should implement zero-trust architecture across all services." - -**Pragmatic Enforcer**: "I see the security value, but that's significant complexity. What's the current threat? Can we start with authentication boundaries on public APIs first, then expand if we see attack patterns?" - -**Security Specialist**: "Fair point. We have had unauthorized access attempts on the admin API but internal services haven't been targeted. Starting with API gateway auth would address 90% of current risk." - -**Systems Architect**: "Agreed - that's a more measured approach. Zero-trust can be part of our roadmap once we have evidence it's needed." -``` - ---- - -## Exemptions from Pragmatic Analysis - -Certain recommendations should NOT be challenged by pragmatic mode: - -1. **Security Vulnerabilities**: Critical security fixes always implement -2. **Compliance Requirements**: Legal/regulatory requirements are non-negotiable -3. **Accessibility Issues**: User accessibility is not optional -4. **Data Loss Risks**: Anything preventing data loss is critical -5. **Explicit User Request**: If user specifically asked for something, honor it - -**In config.yml**: -```yaml -pragmatic_mode: - exemptions: - - security - - compliance - - accessibility - - data_loss_prevention -``` - ---- - -## Summary - -Pragmatic mode adds a critical YAGNI perspective to architecture reviews: - -- ✅ Prevents over-engineering -- ✅ Focuses team on current actual needs -- ✅ Identifies simpler alternatives -- ✅ Provides evidence-based decision framework -- ⚠️ Must be balanced with quality and foresight -- ⚠️ Not a blanket "no" to all abstractions - -Use pragmatic analysis to ensure architecture reviews lead to appropriate, not excessive, engineering. diff --git a/.architecture/.claude/skills/architecture-review/references/review-process.md b/.architecture/.claude/skills/architecture-review/references/review-process.md deleted file mode 100644 index a36aea1..0000000 --- a/.architecture/.claude/skills/architecture-review/references/review-process.md +++ /dev/null @@ -1,241 +0,0 @@ -# Architecture Review Process - Detailed Guide - -This document provides detailed instructions for conducting architecture reviews with all team members. - -## Table of Contents - -1. [Individual Member Review Format](#individual-member-review-format) -2. [Collaborative Discussion Process](#collaborative-discussion-process) -3. [Analysis Guidelines by Review Type](#analysis-guidelines-by-review-type) - ---- - -## Individual Member Review Format - -Each member from `.architecture/members.yml` should review from their unique perspective using this structure: - -### Review Template - -```markdown -### [Member Name] - [Title] - -**Perspective**: [Their unique viewpoint from members.yml] - -#### Key Observations -- [Observation 1 - Specific finding about the system] -- [Observation 2 - Another specific finding] -- [Continue with notable observations] - -#### Strengths -1. **[Strength Title]**: [Detailed description of what's working well and why it matters] -2. **[Strength Title]**: [Description] -3. [Continue with strengths - aim for 3-5 key strengths] - -#### Concerns -1. **[Concern Title]** (Impact: High | Medium | Low) - - **Issue**: [Clear description of what's wrong or could be improved] - - **Why it matters**: [Impact on system, users, or development] - - **Recommendation**: [Specific actionable recommendation] - -2. **[Concern Title]** (Impact: High | Medium | Low) - - **Issue**: [Description] - - **Why it matters**: [Impact] - - **Recommendation**: [Action] - -[Continue with concerns - prioritize by impact] - -#### Recommendations -1. **[Recommendation Title]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) - - **What**: [What to do] - - **Why**: [Benefit or risk addressed] - - **How**: [Brief implementation approach] - -2. **[Recommendation Title]** (Priority: High/Medium/Low, Effort: Small/Medium/Large) - - [Details] - -[Continue with recommendations - 3-7 recommendations per member] -``` - -### Member-Specific Guidance - -**Systems Architect**: -- Focus on overall system coherence and architectural patterns -- Evaluate component interactions and integration points -- Assess alignment with architectural principles -- Consider long-term evolvability - -**Domain Expert**: -- Review how well architecture represents business domain -- Evaluate bounded contexts and domain model accuracy -- Check ubiquitous language usage -- Assess semantic correctness - -**Security Specialist**: -- Identify security vulnerabilities and threats -- Evaluate authentication, authorization, encryption -- Review data protection and privacy considerations -- Assess security boundaries and attack surface - -**Performance Specialist**: -- Identify performance bottlenecks -- Evaluate scalability patterns -- Review resource utilization -- Assess caching, optimization opportunities - -**Maintainability Expert**: -- Evaluate code organization and clarity -- Assess technical debt -- Review complexity and coupling -- Consider developer experience - -**AI Engineer** (if applicable): -- Review AI/ML integration patterns -- Evaluate LLM application design -- Assess agent orchestration -- Review observability and evaluation - -**Pragmatic Enforcer** (if pragmatic mode enabled): -- See [pragmatic-integration.md](./pragmatic-integration.md) for detailed process - ---- - -## Collaborative Discussion Process - -After individual reviews, simulate a discussion between members to synthesize findings. - -### Discussion Structure - -```markdown -## Collaborative Discussion - -**[Systems Architect]**: "[Opening statement about overall architecture]" - -**[Domain Expert]**: "[Response or complementary view from domain perspective]" - -**[Security Specialist]**: "[Security concerns or validation]" - -[Continue discussion flow naturally] - -### Common Ground - -Team members agree on: -1. [Consensus point 1] -2. [Consensus point 2] -3. [Consensus point 3] - -### Areas of Debate - -**Topic: [Topic Title]** -- **[Member 1]**: [Their position] -- **[Member 2]**: [Their position] -- **Resolution**: [How team resolves or agrees to disagree] - -### Priorities Established - -The team agrees on these priorities: - -**Critical (Address Immediately)**: -1. [Critical priority] -2. [Critical priority] - -**Important (Address Soon)**: -1. [Important priority] -2. [Important priority] - -**Nice-to-Have (Consider Later)**: -1. [Nice-to-have] -2. [Nice-to-have] -``` - -### Discussion Best Practices - -1. **Cross-Reference Findings**: Members should reference and build on each other's observations -2. **Resolve Conflicts**: When members disagree, discuss trade-offs and reach consensus -3. **Prioritize Together**: Collaborate to rank recommendations by urgency and impact -4. **Be Realistic**: Consider project constraints, deadlines, and team capacity -5. **Stay Constructive**: Frame concerns as improvement opportunities - ---- - -## Analysis Guidelines by Review Type - -### Version Reviews - -**Focus on**: -- Overall architecture health at this milestone -- Components and their interactions -- Patterns and consistency -- Technical debt accumulated -- ADRs implemented or needed -- Alignment with original architecture vision - -**Key Questions**: -- Is the architecture still coherent as system has evolved? -- What technical debt needs addressing before next version? -- Are architectural principles being followed? -- What risks should be mitigated? - -### Feature Reviews - -**Focus on**: -- Feature implementation approach -- Integration with existing architecture -- Data flow and state management -- Security implications -- Performance impact -- Test coverage - -**Key Questions**: -- Does this feature fit the existing architecture? -- Are there better architectural approaches? -- What are the integration risks? -- How does this impact scalability? - -### Component Reviews - -**Focus on**: -- Component architecture and structure -- Dependencies and coupling -- Boundaries and interfaces -- Responsibilities and cohesion -- Testability - -**Key Questions**: -- Is component well-designed and focused? -- Are boundaries clear and appropriate? -- Is it properly decoupled? -- Does it follow single responsibility principle? - ---- - -## Tips for High-Quality Reviews - -### Be Specific -- ❌ "The code is messy" -- ✅ "The `UserService` class has 15 methods mixing authentication, authorization, and profile management - violates single responsibility" - -### Provide Context -- ❌ "Add caching" -- ✅ "Add Redis caching for user profile queries - currently hitting DB 50+ times per page load causing 200ms delays" - -### Suggest Solutions -- ❌ "Performance is bad" -- ✅ "Batch database queries in `OrderProcessor.process()` to reduce N+1 queries - should improve processing time by 70%" - -### Balance Positive and Negative -- Don't just list problems -- Recognize what's working well -- Explain why good patterns should be sustained - -### Be Actionable -- Every concern should have a recommendation -- Recommendations should be concrete and implementable -- Estimate effort (Small/Medium/Large) and priority (High/Medium/Low) - ---- - -## Reference Documentation - -For the full review document template, see [../assets/review-template.md](../assets/review-template.md). - -For pragmatic mode integration, see [pragmatic-integration.md](./pragmatic-integration.md). diff --git a/.architecture/.claude/skills/architecture-status/SKILL.md b/.architecture/.claude/skills/architecture-status/SKILL.md deleted file mode 100644 index fc7c789..0000000 --- a/.architecture/.claude/skills/architecture-status/SKILL.md +++ /dev/null @@ -1,230 +0,0 @@ ---- -name: architecture-status -description: Reports on the health and state of architecture documentation (counts of ADRs, reviews, activity levels, documentation gaps). Use when the user asks "What's our architecture status?", "Show architecture documentation", "How many ADRs do we have?", "What decisions are documented?", "Architecture health check", or wants an overview/summary of documentation state. Do NOT use for listing team members (use list-members), creating new documents (use create-adr), or conducting reviews (use architecture-review or specialist-review). -allowed-tools: Read,Glob,Grep ---- - -# Architecture Status - -Provides overview of architecture documentation state. - -## Process - -### 1. Check Framework Setup -If `.architecture/` doesn't exist: -``` -The AI Software Architect framework is not set up yet. - -To get started: "Setup ai-software-architect" - -Once set up, you'll have: -- Architectural Decision Records (ADRs) -- Architecture reviews -- Specialist reviews -- Recalibration tracking -``` - -### 2. Gather Information -Collect from `.architecture/`: -- **ADRs**: Count files in `decisions/adrs/`, note recent ones, check statuses -- **Reviews**: Count files in `reviews/`, categorize (version/feature/specialist/initial) -- **Recalibration**: Count files in `recalibration/`, check progress docs -- **Comparisons**: List files in `comparisons/` -- **Team**: Count members in `members.yml` -- **Last Activity**: Most recent date from any document - -### 3. Generate Status Report -```markdown -# Architecture Framework Status - -**Report Date**: [Date] -**Project**: [Project name if known] - -## Summary - -**Health Status**: Excellent | Good | Needs Attention | Inactive - -**Key Metrics**: -- ADRs: [count] -- Reviews: [count] -- Recalibration Plans: [count] -- Team Members: [count] -- Last Activity: [Date] - -## Architectural Decision Records - -**Total**: [count] - -**Recent ADRs**: -1. ADR-[XXX]: [Title] ([Status], [Date]) -2. ADR-[YYY]: [Title] ([Status], [Date]) -[List 5-10 most recent] - -**By Status**: -- ✅ Accepted: [count] -- 🔄 Proposed: [count] -- ⚠️ Deprecated: [count] -- 🔀 Superseded: [count] - -**Coverage**: [Main areas covered: Data, Security, Infrastructure, etc.] - -## Architecture Reviews - -**Total**: [count] - -**Version Reviews**: [List with dates] -**Feature Reviews**: [List with dates] -**Specialist Reviews**: [List with dates] - -**Most Recent**: [Title] ([Date]) - -## Recalibration - -**Total Documents**: [count] - -**Active**: -1. [Target]: [Status], [Completion %] - -**Status**: -- ✅ Completed: [count] -- 🔄 In Progress: [count] -- 📋 Planned: [count] - -## Architecture Team - -**Total Members**: [count] - -**Team**: [List member titles] - -**Coverage**: Security ([count]), Performance ([count]), System Design ([count]), etc. - -**View full roster**: "List architecture members" - -## Activity - -**Recent**: -- [Date]: Created ADR-XXX: [Title] -- [Date]: Completed review for [target] -- [Date]: [Activity] - -**Level**: High | Medium | Low | Inactive - -## Documentation Health - -**Completeness**: [X%] - -**Strengths**: -- ✅ [What's well documented] - -**Gaps**: -- ⚠️ [What needs attention] - -**Recommendations**: -1. [Recommendation 1] -2. [Recommendation 2] - -## Quick Actions - -**Create**: -- "Create ADR for [decision]" -- "Start architecture review for [version/feature]" -- "Ask [specialist] to review [target]" - -**View**: -- "List architecture members" -- [Specific docs to review based on status] - -**Update**: -- [Actions based on current state] - ---- -``` - -### 4. Analyze Health -**Health indicators**: -- **Excellent**: Regular ADRs, recent reviews, active recalibration -- **Good**: Some ADRs, occasional reviews -- **Needs Attention**: Old docs, no recent activity -- **Inactive**: Framework unused - -### 5. Provide Recommendations -**Based on status**: - -**If well-maintained**: -``` -✅ Excellent documentation discipline! - -Keep momentum: -- Continue documenting decisions -- Regular reviews (quarterly/before releases) -- Track recalibration progress -``` - -**If partially used**: -``` -⚠️ Good foundations, room for improvement. - -Suggestions: -- Document 3-5 key decisions as ADRs -- Schedule architecture review -- Address review findings -``` - -**If minimal usage**: -``` -❌ Framework underutilized. - -Get started: -1. Document your most important decisions as ADRs -2. Conduct initial architecture review -3. Make documentation a regular habit -``` - -### 6. Make It Actionable -Always end with: -- Specific commands to run -- Concrete actions to improve -- Examples relevant to their status - -## Metrics to Track - -**Volume**: Total ADRs, reviews, recalibration docs, team members -**Activity**: Last update, docs per month, active vs completed -**Coverage**: Decision areas, review types, specialist expertise -**Health**: Documentation completeness, review frequency, progress tracking - -## Error Handling -- No `.architecture/`: Offer setup -- Permission issues: Report and suggest fixes -- Corrupted files: Note which have issues -- Empty directories: Suggest starting points - -## Related Skills - -**Based on Status Results**: - -**If Documentation Gaps Found**: -- "Create ADR for [missing decision]" - Fill documentation gaps -- "Start architecture review for [area]" - Comprehensive assessment -- "Ask [specialist] to review [weak area]" - Focused improvement - -**If Status is Good**: -- "List architecture members" - See your active team -- Continue regular documentation practices -- Schedule periodic reviews - -**Regular Workflow**: -1. Start work → "What's our architecture status?" → Identify gaps -2. Make changes → Document with ADRs → Status check to verify -3. Before release → Status check → Architecture review → Address findings - -**Workflow Examples**: -1. Status check → Find 0 ADRs → Create ADRs for key decisions → Status check shows progress -2. Status check → See old reviews → Request new architecture review → Update status -3. Weekly: Status check → Track documentation health → Maintain good practices - -## Notes -- Be honest but encouraging -- Focus on actionable next steps -- Show value of maintained documentation -- Adapt tone to current state diff --git a/.architecture/.claude/skills/create-adr/SKILL.md b/.architecture/.claude/skills/create-adr/SKILL.md deleted file mode 100644 index b426ca3..0000000 --- a/.architecture/.claude/skills/create-adr/SKILL.md +++ /dev/null @@ -1,122 +0,0 @@ ---- -name: create-adr -description: Creates a NEW Architectural Decision Record (ADR) documenting a specific architectural decision. Use when the user requests "Create ADR for [topic]", "Document decision about [topic]", "Write ADR for [choice]", or when documenting technology choices, patterns, or architectural approaches. Do NOT use for reviews (use architecture-review or specialist-review), checking existing ADRs (use architecture-status), or general documentation. -allowed-tools: Read,Write,Bash(ls:*,grep:*) ---- - -# Create Architectural Decision Record (ADR) - -Creates structured ADRs following the framework's template. - -## Process - -### 1. Gather Context -Ask if needed: -- What decision is being made? -- What problem does it solve? -- What alternatives were considered? -- What are the trade-offs? - -### 2. Generate ADR Number -```bash -# Find highest ADR number -ls .architecture/decisions/adrs/ | grep -E "^ADR-[0-9]+" | sed 's/ADR-//' | sed 's/-.*//' | sort -n | tail -1 -``` -New ADR = next sequential number (e.g., if highest is 003, create 004) - -### 3. Validate and Sanitize Input -**Security**: Sanitize user input to prevent path traversal and injection: -- Remove or replace: `..`, `/`, `\`, null bytes, control characters -- Convert to lowercase kebab-case: spaces → hyphens, remove special chars -- Limit length: max 80 characters for filename portion -- Validate result: ensure filename contains only [a-z0-9-] - -### 4. Create Filename -Format: `ADR-XXX-kebab-case-title.md` - -Examples: -- `ADR-001-use-react-for-frontend.md` -- `ADR-002-choose-postgresql-database.md` - -**Valid input**: "Use React for Frontend" → `use-react-for-frontend` -**Invalid blocked**: "../etc/passwd" → sanitized or rejected - -### 5. Check Configuration -- Read `.architecture/config.yml` to check if pragmatic_mode is enabled -- If enabled and applies to ADR creation, include Pragmatic Enforcer analysis - -### 6. Write ADR -Use the template from `.architecture/templates/adr-template.md`: - -**Core sections**: -- Status, Context, Decision Drivers, Decision, Consequences -- Implementation, Alternatives Considered, Validation, References - -**If pragmatic_mode is enabled**: Add Pragmatic Enforcer Analysis section: -- Necessity Assessment (0-10): Current need, future need, cost of waiting, evidence -- Complexity Assessment (0-10): Added complexity, maintenance, learning curve, dependencies -- Alternative Analysis: Review if simpler alternatives adequately considered -- Simpler Alternative Proposal: Concrete proposal for simpler approach -- Recommendation: Approve / Approve with simplifications / Defer / Recommend against -- Pragmatic Score: Necessity, Complexity, Ratio (target <1.5) -- Overall Assessment: Appropriate engineering vs over-engineering - -**If deferrals enabled**: Track deferred decisions in `.architecture/deferrals.md` - -### 7. Save ADR -Write to: `.architecture/decisions/adrs/ADR-XXX-title.md` - -### 8. Report to User -``` -Created ADR-XXX: [Title] - -Location: .architecture/decisions/adrs/ADR-XXX-title.md -Status: [Status] - -Key Points: -- Decision: [Summary] -- Main benefit: [Key benefit] -- Main trade-off: [Key trade-off] - -Next Steps: -- [Immediate action 1] -- [Immediate action 2] -``` - -## When to Create ADRs -**Do create for**: -- Technology choices (frameworks, databases, languages) -- Architectural patterns (microservices, event-driven, etc.) -- Infrastructure decisions (cloud provider, deployment) -- Security approaches (authentication, encryption) - -**Don't create for**: -- Implementation details (function names, variable names) -- Temporary decisions -- Minor decisions with limited impact - -## Status Lifecycle -- **Proposed**: Documented but not approved -- **Accepted**: Approved and should be implemented -- **Deprecated**: No longer best practice -- **Superseded**: Replaced by newer ADR (reference it) - -## Related Skills - -**Before Creating ADR**: -- "What's our architecture status?" - Check existing ADRs to avoid duplication -- "List architecture members" - See who should review the decision - -**After Creating ADR**: -- "Ask [specialist] to review [the ADR]" - Get focused expert review -- "Start architecture review for [version]" - Include in comprehensive review - -**Workflow Examples**: -1. Create ADR → Ask Security Specialist to review → Revise ADR -2. Architecture review → Create ADRs for key decisions → Status check - -## Notes -- Focus on "why" more than "what" -- Be honest about trade-offs -- Keep it concise but complete -- ADRs can be updated as new information emerges diff --git a/.architecture/.claude/skills/list-members/SKILL.md b/.architecture/.claude/skills/list-members/SKILL.md deleted file mode 100644 index 92f390f..0000000 --- a/.architecture/.claude/skills/list-members/SKILL.md +++ /dev/null @@ -1,175 +0,0 @@ ---- -name: list-members -description: Displays the roster of architecture team members with their specialties and expertise areas. Use when the user asks "Who's on the architecture team?", "List architecture members", "Show me the architects", "What specialists are available?", "Who can I ask for reviews?", or wants to discover available experts. Do NOT use for requesting reviews (use specialist-review or architecture-review) or checking documentation status (use architecture-status). -allowed-tools: Read ---- - -# List Architecture Members - -Displays all architecture team members and their expertise areas. - -## Process - -### 1. Check Setup -If `.architecture/members.yml` doesn't exist: -``` -The AI Software Architect framework hasn't been set up yet. - -To get started: "Setup ai-software-architect" -``` - -### 2. Load Members -Read `.architecture/members.yml` and parse all members (id, name, title, specialties, disciplines, skillsets, domains, perspective). - -### 3. Display Team Roster -```markdown -# Architecture Team Members - -Your AI Software Architect team consists of [count] specialized reviewers. - -Total Members: [count] - ---- - -## Team Roster - -### [Member 1 Name] - [Member 1 Title] - -**ID**: `[member_id]` - -**Specialties**: [Specialty 1], [Specialty 2], [Specialty 3] - -**Disciplines**: [Discipline 1], [Discipline 2] - -**Domains**: [Domain 1], [Domain 2], [Domain 3] - -**Perspective**: [Their unique perspective] - -**Request review**: `Ask [Member Title] to review [your target]` - ---- - -[Repeat for all members] - ---- - -## Quick Reference - -**Specialist reviews**: -- `Ask [Specialist Title] to review [target]` - -**Examples**: -- "Ask Security Specialist to review authentication" -- "Ask Performance Specialist to review database queries" -- "Ask [Your Specialist] to review [anything]" - -**Full architecture review**: -- `Start architecture review for version X.Y.Z` - -**Other commands**: -- `Create ADR for [decision topic]` -- `What's our architecture status?` - ---- - -## Team by Specialty - -[Group members by their primary domains/specialties] - -**Security & Compliance**: [Members] -**Performance & Scalability**: [Members] -**Code Quality & Maintainability**: [Members] -**Domain & Business Logic**: [Members] -**System Design & Architecture**: [Members] -**Technology-Specific**: [Members] - ---- - -## Adding New Members - -Request a review from any specialist, even if they don't exist: -- "Ask Ruby Expert to review my modules" -- "Have Accessibility Expert review forms" - -I'll create the specialist and add them to your team automatically. - -Or manually edit `.architecture/members.yml` and add: -```yaml -- id: your_specialist_id - name: "[Name]" - title: "[Title]" - specialties: ["[Specialty 1]", "[Specialty 2]"] - disciplines: ["[Discipline 1]", "[Discipline 2]"] - skillsets: ["[Skill 1]", "[Skill 2]"] - domains: ["[Domain 1]", "[Domain 2]"] - perspective: "[Brief description]" -``` - ---- - -## Using the Team - -**For focused reviews** (specific expertise): -``` -Ask [Specialist] to review [target] -``` -Fast turnaround, targeted insights - -**For comprehensive reviews** (all perspectives): -``` -Start architecture review for [version/feature] -``` -All members review, collaborative discussion - -**For decisions**: -``` -Create ADR for [decision topic] -``` -Document decisions with team input - ---- -``` - -### 4. Provide Context -After listing: -- Explain when to use specialist vs full reviews -- Show how to add new members dynamically -- Provide usage examples -- Suggest next steps - -## Example Output Summary -After showing full roster, provide a concise summary: -``` -Ready to use your architecture team: -- [N] specialists available -- Request reviews: "Ask [specialist] to review [target]" -- Add new specialists: Just ask for them by name -- Full review: "Start architecture review for [scope]" -``` - -## Error Handling -- No `.architecture/`: Offer setup instructions -- Empty `members.yml`: Show default team and offer setup -- Malformed YAML: Show what's parseable, note issues - -## Related Skills - -**After Listing Members**: -- "Ask [specialist] to review [target]" - Request focused expert review -- "Start architecture review for [scope]" - Comprehensive review with all members -- "What's our architecture status?" - See how team has been used - -**When Adding Members**: -- Just request a specialist that doesn't exist - they'll be created automatically -- "Setup ai-software-architect" - Adds members based on your tech stack - -**Workflow Examples**: -1. List members → Identify relevant specialist → Request review -2. Need new expertise → Request it → Specialist auto-created → List to verify -3. Status check → List members → Review with specific specialists - -## Notes -- Keep presentation clear and scannable -- Make it actionable with specific commands -- Encourage exploration and usage -- Explain that team can grow dynamically diff --git a/.architecture/.claude/skills/pragmatic-guard/SKILL.md b/.architecture/.claude/skills/pragmatic-guard/SKILL.md deleted file mode 100644 index 66c1ef3..0000000 --- a/.architecture/.claude/skills/pragmatic-guard/SKILL.md +++ /dev/null @@ -1,152 +0,0 @@ ---- -name: pragmatic-guard -description: Enables and configures Pragmatic Guard Mode (YAGNI Enforcement) to prevent over-engineering. Use when the user requests "Enable pragmatic mode", "Turn on YAGNI enforcement", "Activate simplicity guard", "Challenge complexity", or similar phrases. -allowed-tools: Read,Edit ---- - -# Pragmatic Guard Mode - -Enables and configures the Pragmatic Guard Mode to actively challenge over-engineering. - -## Process - -### 1. Check Current Configuration -- Read `.architecture/config.yml` to check current settings -- If config.yml doesn't exist, offer to create it from `.architecture/templates/config.yml` -- Check if `pragmatic_mode.enabled` is true -- Note the intensity level (strict/balanced/lenient) -- Review exemption categories and triggers - -### 2. Enable Pragmatic Mode (if requested) -If user wants to enable: -- If config.yml doesn't exist: - ```bash - cp .architecture/templates/config.yml .architecture/config.yml - ``` -- Set `pragmatic_mode.enabled: true` -- Confirm intensity level with user or use default (balanced) -- Create `.architecture/deferrals.md` from template if it doesn't exist: - ```bash - cp .architecture/templates/deferrals.md .architecture/deferrals.md - ``` -- Inform user about mode activation and current settings - -### 3. Configure Intensity Level -Ask user which intensity they prefer if not specified: - -**Strict Mode**: -- Challenges aggressively, requires strong justification for any complexity -- Questions every "should" and "could" -- Pushes for absolute minimal implementation -- Best for: New projects, MVPs, startups with limited resources - -**Balanced Mode** (RECOMMENDED): -- Challenges thoughtfully, accepts justified complexity -- Seeks middle ground between simplicity and best practices -- Questions "should" but accepts reasonable "must" -- Best for: Most projects, growing teams, moderate complexity - -**Lenient Mode**: -- Raises concerns without blocking -- Suggests simpler alternatives as options -- Focuses on major complexity additions only -- Best for: Established projects, teams with strong architecture practices - -### 4. Configure Triggers (optional) -Ask if user wants to customize which situations trigger pragmatic analysis: -- New abstraction layers (interfaces, base classes, DI containers) -- New external dependencies (libraries, frameworks, services) -- New architectural patterns (repository, strategy, observer) -- Scope expansion beyond initial requirements -- Performance optimizations without evidence -- Test infrastructure upfront -- Flexibility/configurability additions - -### 5. Configure Exemptions (optional) -Confirm exemption categories where best practices should be maintained: -- Security-critical features (always exempt by default) -- Data integrity (always exempt by default) -- Compliance requirements (always exempt by default) -- Accessibility (always exempt by default) - -### 6. Understanding the Pragmatic Enforcer -Explain how the Pragmatic Enforcer will participate: - -**In Architecture Reviews**: -- Reviews each architect's recommendations -- Applies necessity assessment (0-10 scoring) -- Applies complexity assessment (0-10 scoring) -- Proposes simpler alternatives -- Calculates pragmatic score (complexity/necessity ratio, target <1.5) - -**In ADR Creation**: -- Challenges proposed decisions -- Questions whether complexity is justified by current needs -- Suggests phased approaches or deferrals -- Documents trigger conditions for deferred decisions - -**Question Framework**: -- **Necessity**: "Do we need this right now?" "What breaks without it?" -- **Simplicity**: "What's the simplest thing that could work?" -- **Cost**: "What's the cost of implementing now vs waiting?" -- **Alternatives**: "What if we just...?" "Could we use existing tools?" -- **Best Practices**: "Does this best practice apply to our context?" - -### 7. Deferrals Tracking -If `behavior.track_deferrals` is true: -- Maintain `.architecture/deferrals.md` with deferred decisions -- Include trigger conditions for each deferral -- Track when deferrals are implemented or remain deferred - -### 8. Report to User -``` -Pragmatic Guard Mode: [Enabled | Disabled] - -Configuration: -- Intensity: [strict | balanced | lenient] -- Apply to: [List of phases where it applies] -- Deferrals tracking: [enabled | disabled] - -Exemptions: -- Security-critical: [enabled | disabled] -- Data integrity: [enabled | disabled] -- Compliance: [enabled | disabled] -- Accessibility: [enabled | disabled] - -Triggers: -[List of active triggers] - -The Pragmatic Enforcer will now: -- Challenge recommendations from other architects -- Question complexity and abstractions -- Propose simpler alternatives -- Calculate pragmatic scores (target ratio <1.5) -- [If enabled] Track deferred decisions in .architecture/deferrals.md - -Next Steps: -- Create an ADR: "Create ADR for [topic]" (will include pragmatic analysis) -- Start a review: "Start architecture review for [target]" (will include pragmatic challenges) -- Adjust settings: Edit .architecture/config.yml -``` - -## When to Use Pragmatic Mode - -**Enable for**: -- New projects or MVPs -- Teams prone to over-engineering -- Resource-constrained environments -- Learning environments (teaching YAGNI) -- Projects with tight deadlines - -**Consider disabling for**: -- Mature systems with established patterns -- High-complexity domains requiring abstractions -- Teams already practicing strong YAGNI principles -- Projects with specific architectural requirements - -## Notes -- Pragmatic mode is about finding balance, not blocking progress -- The Pragmatic Enforcer's role is to question and challenge, not to veto -- Intensity level should match team maturity and project complexity -- Exemptions ensure critical areas maintain appropriate rigor -- Deferrals can always be implemented when triggered by actual needs diff --git a/.architecture/.claude/skills/setup-architect/SKILL.md b/.architecture/.claude/skills/setup-architect/SKILL.md deleted file mode 100644 index d72a83e..0000000 --- a/.architecture/.claude/skills/setup-architect/SKILL.md +++ /dev/null @@ -1,195 +0,0 @@ ---- -name: setup-architect -description: Sets up and installs the AI Software Architect framework in a NEW project for the FIRST time. Use when the user requests "Setup .architecture", "Setup ai-software-architect", "Initialize architecture framework", "Install software architect", or similar setup/installation phrases. Do NOT use for checking status (use architecture-status), creating documents (use create-adr or reviews), or when framework is already set up. -allowed-tools: Read,Write,Edit,Glob,Grep,Bash ---- - -# Setup AI Software Architect Framework - -Sets up and customizes the AI Software Architect framework for a project. - -## Overview - -This skill performs a complete framework installation: -1. Verifies prerequisites (framework cloned, project root confirmed) -2. Analyzes project (languages, frameworks, structure, patterns) -3. Installs framework files and directory structure -4. Customizes team members and principles for detected tech stack -5. Performs initial system analysis -6. Reports customizations and findings - -**Detailed procedures**: [references/installation-procedures.md](references/installation-procedures.md) -**Customization guide**: [references/customization-guide.md](references/customization-guide.md) - -## High-Level Workflow - -### 1. Verify Prerequisites - -Check requirements before installation: -- `.architecture/.architecture/` directory exists (cloned framework) -- Currently in project root directory - -**If missing**: Guide user to clone framework first. - -### 2. Analyze Project - -Identify project characteristics: -- **Languages**: JavaScript/TypeScript, Python, Ruby, Java, Go, Rust -- **Frameworks**: React, Vue, Django, Rails, Spring, etc. -- **Infrastructure**: Testing setup, CI/CD, package managers -- **Structure**: Directory layout, architectural patterns - -Use `Glob` and `Grep` to detect technologies, `Read` to examine configs. - -### 3. Install Framework - -Execute installation steps (see [references/installation-procedures.md](references/installation-procedures.md)): -- Copy framework files to `.architecture/` -- Remove clone directory -- Create directory structure (decisions/adrs, reviews, recalibration, etc.) -- Initialize configuration from templates -- Set up agent documentation (ADR-006 progressive disclosure) - -**Critical**: Follow safety procedures when removing `.git/` directory. - -### 4. Customize Architecture Team - -Add technology-specific members to `.architecture/members.yml`: -- **JavaScript/TypeScript**: JavaScript Expert, framework specialists (React/Vue/Angular) -- **Python**: Python Expert, framework specialists (Django/Flask/FastAPI) -- **Ruby**: Ruby Expert, Rails Architect -- **Java**: Java Expert, Spring Boot Specialist -- **Go**: Go Expert, Microservices Architect -- **Rust**: Rust Expert, Systems Programmer - -Use template from [assets/member-template.yml](assets/member-template.yml). - -**Keep core members**: Systems Architect, Domain Expert, Security, Performance, Maintainability, AI Engineer, Pragmatic Enforcer. - -**Customization details**: [references/customization-guide.md § Customize Team Members](references/customization-guide.md#customize-architecture-team-members) - -### 5. Customize Architectural Principles - -Add framework-specific principles to `.architecture/principles.md`: -- **React**: Component composition, hooks, unidirectional data flow -- **Rails**: Convention over configuration, DRY, RESTful design -- **Django**: Explicit over implicit, reusable apps, use built-ins - -**Principle examples**: [references/customization-guide.md § Customize Principles](references/customization-guide.md#customize-architectural-principles) - -### 6. Update CLAUDE.md Integration - -If `CLAUDE.md` exists in project root, append framework usage section: -- Available commands -- Where to find documentation -- How to invoke skills - -**Template**: [references/customization-guide.md § Update CLAUDE.md](references/customization-guide.md#update-claudemd-integration) - -### 7. Cleanup - -Remove framework development files: -- Framework documentation (README.md, USAGE*.md, INSTALL.md) -- Template `.git/` directory (with **critical safety checks**) - -**⚠️ IMPORTANT**: Follow all safeguards in [references/installation-procedures.md § Cleanup](references/installation-procedures.md#cleanup-procedures). - -### 8. Create Initial System Analysis - -Generate comprehensive initial analysis document: -- Each member analyzes system from their perspective -- System overview (stack, structure, patterns) -- Strengths identified -- Concerns raised (with impact levels) -- Recommendations prioritized (Critical/Important/Nice-to-Have) -- Collaborative synthesis of findings - -Save to `.architecture/reviews/initial-system-analysis.md`. - -**Template**: [assets/initial-analysis-template.md](assets/initial-analysis-template.md) - -### 9. Report to User - -Provide setup summary: - -``` -AI Software Architect Framework Setup Complete - -Customizations: -- Added [N] technology specialists: [list] -- Customized principles for: [frameworks] -- Configuration: Pragmatic mode [enabled/disabled] - -Initial Analysis Highlights: -- Overall assessment: [assessment] -- Top strength: [strength] -- Top concern: [concern] -- Critical recommendation: [recommendation] - -Location: .architecture/reviews/initial-system-analysis.md - -Next Steps: -- Review initial analysis findings -- "List architecture members" to see customized team -- "Create ADR for [first decision]" to start documenting -- "What's our architecture status?" to verify setup -``` - -## Error Handling - -**Framework not cloned**: -``` -The framework must be cloned first. Please run: - -git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture - -Then run setup again. -``` - -**Already set up**: -``` -Framework appears to be already set up. - -To verify: "What's our architecture status?" -To reconfigure: Manually edit .architecture/members.yml and .architecture/principles.md -``` - -**Unclear project structure**: -``` -Could not clearly identify project type. Please describe: -- Primary programming language(s) -- Framework(s) used -- Project purpose - -I'll customize the framework accordingly. -``` - -## Related Skills - -**After Setup**: -- `list-members` - View customized team -- `architecture-status` - Verify setup completion -- `create-adr` - Document first decision - -**Initial Work**: -- Review `initial-system-analysis.md` findings -- `specialist-review` - Deep-dive on specific concerns -- `create-adr` - Document existing key decisions - -**Workflow Example**: -Setup → Review initial analysis → Create ADRs → Status check → Regular reviews - -## Notes - -- Customize based on **actual** project, not every possible option -- Be specific about **why** each customization was made -- Initial analysis should be thorough but focused on actionable findings -- Safety checks during cleanup are **non-negotiable** - -## Documentation - -- **Installation details**: [references/installation-procedures.md](references/installation-procedures.md) -- **Customization guide**: [references/customization-guide.md](references/customization-guide.md) -- **Initial analysis template**: [assets/initial-analysis-template.md](assets/initial-analysis-template.md) -- **Member template**: [assets/member-template.yml](assets/member-template.yml) -- **Common patterns**: [../_patterns.md](../_patterns.md) diff --git a/.architecture/.claude/skills/setup-architect/assets/initial-analysis-template.md b/.architecture/.claude/skills/setup-architect/assets/initial-analysis-template.md deleted file mode 100644 index ab27793..0000000 --- a/.architecture/.claude/skills/setup-architect/assets/initial-analysis-template.md +++ /dev/null @@ -1,400 +0,0 @@ -# Initial System Analysis - -**Project**: [Project Name] -**Date**: [YYYY-MM-DD] -**Analysis Type**: Initial Setup Assessment -**Analysts**: [List all architecture members participating] - ---- - -## Executive Summary - -[Write 2-3 paragraphs providing a high-level overview of the system being analyzed. Include: -- What the system does (purpose and domain) -- Primary technologies and stack -- Current state and maturity level -- Overall architectural health -] - -**Overall Assessment**: [Excellent | Good | Adequate | Needs Attention] - -**Key Findings**: -- [Major finding 1] -- [Major finding 2] -- [Major finding 3] - -**Critical Recommendations**: -- [Top priority recommendation] -- [Second priority recommendation] - ---- - -## System Overview - -### Project Information - -**Primary Language(s)**: [e.g., JavaScript/TypeScript, Python, Ruby] - -**Frameworks**: [e.g., React, Rails, Django, Express] - -**Architecture Style**: [e.g., Monolith, Microservices, Serverless, Hybrid] - -**Deployment**: [e.g., Heroku, AWS, Docker, Kubernetes] - -**Team Size**: [Number of developers] - -**Project Age**: [e.g., 2 years, New project, Legacy system] - -### Technology Stack - -**Frontend**: -- [Technology 1] -- [Technology 2] - -**Backend**: -- [Technology 1] -- [Technology 2] - -**Database**: -- [Primary database] -- [Cache layer if any] - -**Infrastructure**: -- [Hosting/cloud provider] -- [CI/CD tools] -- [Monitoring/observability] - -### Project Structure - -``` -[Provide high-level directory structure] -/ -├── src/ -│ ├── components/ -│ ├── services/ -│ └── ... -├── tests/ -└── ... -``` - -**Key Observations**: -- [Structure observation 1] -- [Structure observation 2] - ---- - -## Individual Member Analyses - -### [Member Name] - [Title] - -**Perspective**: [Their specialized viewpoint] - -#### Current State Assessment - -[Detailed analysis from this member's perspective. Include: -- What they examined -- How they evaluated it -- What they discovered -] - -#### Strengths Identified - -1. **[Strength]**: [Why this is valuable and how it benefits the project] - -2. **[Strength]**: [Description] - -3. **[Strength]**: [Description] - -#### Concerns Raised - -1. **[Concern]** (Impact: High | Medium | Low) - - **Issue**: [What's problematic] - - **Why It Matters**: [Impact on project/team] - - **Recommendation**: [Suggested action] - -2. **[Concern]** (Impact: High | Medium | Low) - - **Issue**: [Description] - - **Why It Matters**: [Impact] - - **Recommendation**: [Action] - -#### Initial Recommendations - -1. **[Recommendation]** (Priority: Critical | Important | Nice-to-Have, Effort: Small | Medium | Large) - - **What**: [Action to take] - - **Why**: [Benefit or risk addressed] - - **How**: [Implementation approach] - -2. **[Recommendation]** (Priority, Effort) - - [Details] - -[Repeat for each architecture member] - ---- - -## Collaborative Synthesis - -[After individual analyses, synthesize findings across all members] - -### Common Themes - -**Strengths** (What multiple members praised): -1. [Common strength 1] -2. [Common strength 2] - -**Concerns** (What multiple members flagged): -1. [Common concern 1] -2. [Common concern 2] - -**Disagreements** (Where members had different views): -- **Topic**: [Topic of disagreement] - - **[Member 1]**: [Their view] - - **[Member 2]**: [Their view] - - **Resolution**: [How to reconcile or way forward] - -### Prioritized Findings - -**Critical (Address Immediately)**: -1. **[Finding]**: [Why critical, impact if not addressed] -2. **[Finding]**: [Details] - -**Important (Address in Near Term)**: -1. **[Finding]**: [Why important] -2. **[Finding]**: [Details] - -**Nice-to-Have (Consider for Future)**: -1. **[Finding]**: [Why beneficial but not urgent] -2. **[Finding]**: [Details] - ---- - -## Architectural Health Assessment - -### Code Quality - -**Rating**: [1-10] - -**Observations**: -- [Observation about code organization] -- [Observation about code clarity] -- [Observation about technical debt] - -**Key Issues**: -- [Issue 1] -- [Issue 2] - -### Testing - -**Coverage**: [Percentage if known, or qualitative assessment] - -**Rating**: [1-10] - -**Observations**: -- [Test presence and quality] -- [Test types (unit, integration, e2e)] -- [Test infrastructure] - -**Gaps**: -- [Gap 1] -- [Gap 2] - -### Documentation - -**Rating**: [1-10] - -**Observations**: -- [README quality] -- [API documentation] -- [Architecture documentation] -- [Code comments] - -**Missing**: -- [What documentation is missing] - -### Security - -**Rating**: [1-10] - -**Observations**: -- [Authentication/authorization approach] -- [Data protection measures] -- [Known vulnerabilities] - -**Concerns**: -- [Security concern 1] -- [Security concern 2] - -### Performance - -**Rating**: [1-10] - -**Observations**: -- [Performance characteristics] -- [Scalability considerations] -- [Known bottlenecks] - -**Concerns**: -- [Performance concern 1] -- [Performance concern 2] - -### Maintainability - -**Rating**: [1-10] - -**Observations**: -- [How easy is it to change?] -- [Developer onboarding experience] -- [Build/deploy process] - -**Challenges**: -- [Maintainability challenge 1] -- [Maintainability challenge 2] - ---- - -## Technical Debt Inventory - -### High Priority Debt - -1. **[Debt Item]** - - **Impact**: [How it affects development] - - **Effort to Resolve**: [Small | Medium | Large] - - **Recommendation**: [When and how to address] - -2. **[Debt Item]**: [Details] - -### Medium Priority Debt - -1. **[Debt Item]**: [Details] -2. **[Debt Item]**: [Details] - -### Low Priority Debt - -1. **[Debt Item]**: [Details] - ---- - -## Risk Assessment - -### Technical Risks - -1. **[Risk]** (Likelihood: High/Medium/Low, Impact: High/Medium/Low) - - **Description**: [What could go wrong] - - **Impact**: [Consequences if it happens] - - **Mitigation**: [How to reduce or eliminate] - -2. **[Risk]** (Likelihood, Impact) - - [Details] - -### Business Risks - -1. **[Risk]** (Likelihood, Impact) - - [Details] - -### Operational Risks - -1. **[Risk]** (Likelihood, Impact) - - [Details] - ---- - -## Recommendations - -### Immediate Actions (0-2 Weeks) - -1. **[Action]** - - **Why**: [Problem being solved] - - **How**: [Implementation approach] - - **Owner**: [Who should do this] - - **Success Criteria**: [How to know it's done] - - **Effort**: [Time estimate] - -2. **[Action]**: [Details] - -### Short-Term Actions (2-8 Weeks) - -1. **[Action]** - - **Why**: [Benefit] - - **How**: [Approach] - - **Owner**: [Responsible party] - - **Success Criteria**: [Completion criteria] - - **Effort**: [Estimate] - -2. **[Action]**: [Details] - -### Long-Term Initiatives (2-6 Months) - -1. **[Initiative]** - - **Why**: [Strategic value] - - **How**: [High-level roadmap] - - **Owner**: [Responsible party] - - **Success Criteria**: [Long-term goals] - - **Effort**: [Estimate] - -2. **[Initiative]**: [Details] - ---- - -## Success Metrics - -Define measurable targets to track improvement: - -1. **[Metric Name]** - - **Baseline**: [Current value] - - **Target**: [Desired value] - - **Timeline**: [When to achieve] - - **How to Measure**: [Measurement method] - -2. **[Metric]**: Baseline → Target (Timeline) - -3. **[Metric]**: Baseline → Target (Timeline) - -[Examples: -- Test Coverage: 30% → 70% (3 months) -- Build Time: 10 min → 3 min (6 weeks) -- Documentation Score: 4/10 → 8/10 (2 months) -] - ---- - -## Suggested Next Steps - -Based on this initial analysis: - -1. **[Step 1]**: [Specific actionable next step] -2. **[Step 2]**: [Next step] -3. **[Step 3]**: [Next step] - -**Documentation**: -- Create ADRs for key architectural decisions identified -- Document existing patterns in ADRs -- Schedule regular architecture reviews - -**Process**: -- Establish review cadence (quarterly recommended) -- Define ADR creation criteria -- Set up architecture recalibration process - ---- - -## Appendix - -### Analysis Methodology - -This analysis was conducted using the AI Software Architect framework. Each member analyzed the system from their specialized perspective, then collaborated to synthesize findings and prioritize recommendations. - -**Members Participating**: -- [Member 1] - [Role] -- [Member 2] - [Role] -- [etc.] - -### Glossary - -[Define project-specific terms or acronyms used in analysis] - -- **[Term]**: [Definition] -- **[Acronym]**: [Expansion and meaning] - ---- - -**Analysis Complete** -**Next Review**: [Suggested date - typically 3-6 months after setup] diff --git a/.architecture/.claude/skills/setup-architect/assets/member-template.yml b/.architecture/.claude/skills/setup-architect/assets/member-template.yml deleted file mode 100644 index 4ea0c89..0000000 --- a/.architecture/.claude/skills/setup-architect/assets/member-template.yml +++ /dev/null @@ -1,138 +0,0 @@ -# Architecture Team Member Template -# -# Use this template to add new team members to .architecture/members.yml -# -# Copy this entire member block and customize for your technology stack - -- id: [unique_identifier] # lowercase with underscores, e.g., javascript_expert - name: "[Full Name]" # Display name, e.g., "Alex Rivera" - title: "[Role Title]" # Professional title, e.g., "JavaScript Expert" - - # Specialties: Main areas of expertise (3-5 items) - specialties: - - "[Specialty 1]" # e.g., "Modern JavaScript/TypeScript" - - "[Specialty 2]" # e.g., "Frontend architecture" - - "[Specialty 3]" # e.g., "Build tools" - - # Disciplines: Professional disciplines and practices (3-5 items) - disciplines: - - "[Discipline 1]" # e.g., "Clean code" - - "[Discipline 2]" # e.g., "Performance optimization" - - "[Discipline 3]" # e.g., "Test-driven development" - - # Skillsets: Specific technical skills (3-5 items) - skillsets: - - "[Skill 1]" # e.g., "ES6+" - - "[Skill 2]" # e.g., "Async programming" - - "[Skill 3]" # e.g., "Module systems" - - # Domains: Application domains and contexts (3-5 items) - domains: - - "[Domain 1]" # e.g., "Web applications" - - "[Domain 2]" # e.g., "API services" - - "[Domain 3]" # e.g., "Cloud infrastructure" - - # Perspective: Unique viewpoint in 1-2 sentences - perspective: "[Description of how this member approaches architecture reviews and what lens they bring]" - -# ============================================================================ -# EXAMPLES BY TECHNOLOGY STACK -# ============================================================================ - -# JavaScript/TypeScript Example: -# - id: javascript_expert -# name: "Alex Rivera" -# title: "JavaScript Expert" -# specialties: ["Modern JavaScript/TypeScript", "Frontend architecture", "Build tools"] -# disciplines: ["Clean code", "Performance", "Cross-browser compatibility"] -# skillsets: ["ES6+", "Async programming", "Module systems"] -# domains: ["Web applications", "Node.js backends", "Build pipelines"] -# perspective: "Focuses on JavaScript best practices and modern language features" - -# Python Example: -# - id: python_expert -# name: "Dr. Sarah Chen" -# title: "Python Expert" -# specialties: ["Python best practices", "Package architecture", "Type hints"] -# disciplines: ["Pythonic code", "Testing patterns", "Performance"] -# skillsets: ["Modern Python (3.10+)", "Async/await", "Data structures"] -# domains: ["Backend services", "Data processing", "APIs"] -# perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" - -# Ruby Example: -# - id: ruby_expert -# name: "Marcus Johnson" -# title: "Ruby Expert" -# specialties: ["Ruby idioms", "Metaprogramming", "Rails patterns"] -# disciplines: ["Convention over configuration", "DRY", "Expressive code"] -# skillsets: ["Ruby 3.x", "Rails architecture", "Gem development"] -# domains: ["Web applications", "API services", "Background jobs"] -# perspective: "Emphasizes Ruby's elegance and Rails conventions" - -# Go Example: -# - id: go_expert -# name: "Dmitri Ivanov" -# title: "Go Expert" -# specialties: ["Idiomatic Go", "Concurrency", "Service architecture"] -# disciplines: ["Simplicity", "Composition", "Clear error handling"] -# skillsets: ["Goroutines/channels", "Standard library", "Performance"] -# domains: ["Microservices", "Cloud-native", "CLI tools"] -# perspective: "Advocates for Go's simplicity and effective concurrency" - -# Rust Example: -# - id: rust_expert -# name: "Katya Volkov" -# title: "Rust Expert" -# specialties: ["Memory safety", "Zero-cost abstractions", "Systems programming"] -# disciplines: ["Ownership/borrowing", "Type-driven design", "Performance"] -# skillsets: ["Rust idioms", "Async Rust", "Unsafe code"] -# domains: ["Systems software", "Performance-critical code", "Embedded"] -# perspective: "Emphasizes Rust's safety guarantees and performance" - -# React Specialist Example: -# - id: react_specialist -# name: "Emma Rodriguez" -# title: "React Specialist" -# specialties: ["React patterns", "Component architecture", "State management"] -# disciplines: ["Hooks", "Performance optimization", "Accessibility"] -# skillsets: ["React 18+", "Context/Redux", "Testing Library"] -# domains: ["SPAs", "Component libraries", "Web apps"] -# perspective: "Focuses on modern React patterns and component reusability" - -# Django Specialist Example: -# - id: django_specialist -# name: "Rajesh Patel" -# title: "Django Specialist" -# specialties: ["Django architecture", "ORM patterns", "REST APIs"] -# disciplines: ["Explicit over implicit", "Reusable apps", "DRY"] -# skillsets: ["Django 4.x", "DRF", "Celery integration"] -# domains: ["Web applications", "REST APIs", "Admin interfaces"] -# perspective: "Leverages Django's batteries-included philosophy effectively" - -# ============================================================================ -# NAMING CONVENTIONS -# ============================================================================ -# -# IDs: Use lowercase with underscores -# - Good: javascript_expert, react_specialist, python_expert -# - Bad: JavaScriptExpert, react-specialist, Python Expert -# -# Names: Use real-sounding names (first and last) -# - Good: "Alex Rivera", "Dr. Sarah Chen", "Marcus Johnson" -# - Bad: "JavaScript Expert", "Python Dev", "The Architect" -# -# Titles: Professional role titles -# - Good: "JavaScript Expert", "React Specialist", "Python Expert" -# - Bad: "JS Guy", "The React Person", "Python Dev" -# -# ============================================================================ -# TIPS FOR GOOD MEMBERS -# ============================================================================ -# -# 1. Be specific: "Modern JavaScript/TypeScript" not just "JavaScript" -# 2. Match your stack: Add specialists for YOUR technologies -# 3. Don't overload: 5-7 technology specialists + core members is plenty -# 4. Unique perspectives: Each member should bring a distinct viewpoint -# 5. Balance depth and breadth: Mix deep specialists with generalists -# 6. Consider project phase: Startups need different members than enterprises -# 7. Team size matters: Larger teams can support more specialists diff --git a/.architecture/.claude/skills/setup-architect/references/customization-guide.md b/.architecture/.claude/skills/setup-architect/references/customization-guide.md deleted file mode 100644 index c0bd91c..0000000 --- a/.architecture/.claude/skills/setup-architect/references/customization-guide.md +++ /dev/null @@ -1,490 +0,0 @@ -# Customization Guide - -This document describes how to customize the AI Software Architect framework for your project's specific technology stack, team, and practices. - -## Table of Contents - -1. [Customize Architecture Team Members](#customize-architecture-team-members) -2. [Customize Architectural Principles](#customize-architectural-principles) -3. [Update CLAUDE.md Integration](#update-claudemd-integration) -4. [Configuration Options](#configuration-options) - ---- - -## Customize Architecture Team Members - -The framework uses a roster of specialized architecture reviewers in `.architecture/members.yml`. Customize this roster based on your project's technology stack. - -### Member YAML Structure - -See [../assets/member-template.yml](../assets/member-template.yml) for the complete template. - -Each member includes: -- `id`: Unique identifier (lowercase, underscores) -- `name`: Display name -- `title`: Role/title -- `specialties`: Array of specialty areas -- `disciplines`: Array of discipline focuses -- `skillsets`: Array of specific skills -- `domains`: Array of domain areas -- `perspective`: Description of unique viewpoint - -### Technology Stack-Specific Members - -Add specialists based on your detected technology stack: - -#### JavaScript/TypeScript Projects - -```yaml -- id: javascript_expert - name: "Alex Rivera" - title: "JavaScript Expert" - specialties: - - "Modern JavaScript/TypeScript" - - "Frontend architecture" - - "Build tools" - disciplines: - - "Clean code" - - "Performance" - - "Cross-browser compatibility" - skillsets: - - "ES6+" - - "Async programming" - - "Module systems" - domains: - - "Web applications" - - "Node.js backends" - - "Build pipelines" - perspective: "Focuses on JavaScript best practices and modern language features" -``` - -**Additional specialists to consider**: -- React/Vue/Angular Specialist (if using these frameworks) -- Node.js Expert (for backend projects) -- TypeScript Specialist (for TypeScript-heavy projects) - -#### Python Projects - -```yaml -- id: python_expert - name: "Dr. Sarah Chen" - title: "Python Expert" - specialties: - - "Python best practices" - - "Package architecture" - - "Type hints and mypy" - disciplines: - - "Pythonic code" - - "Testing patterns" - - "Performance optimization" - skillsets: - - "Modern Python (3.10+)" - - "Async/await" - - "Data structures" - domains: - - "Backend services" - - "Data processing" - - "API development" - perspective: "Advocates for clean, Pythonic solutions following PEP guidelines" -``` - -**Additional specialists**: -- Django/Flask/FastAPI Specialist (based on framework) -- Data Engineering Specialist (for data-heavy projects) -- ML/AI Specialist (for ML projects) - -#### Ruby Projects - -```yaml -- id: ruby_expert - name: "Marcus Johnson" - title: "Ruby Expert" - specialties: - - "Ruby idioms" - - "Metaprogramming" - - "Rails patterns" - disciplines: - - "Convention over configuration" - - "DRY principles" - - "Expressive code" - skillsets: - - "Ruby 3.x features" - - "Rails architecture" - - "Gem development" - domains: - - "Web applications" - - "API services" - - "Background jobs" - perspective: "Emphasizes Ruby's elegance and Rails conventions for rapid development" -``` - -**Additional specialists**: -- Rails Architect (for Rails projects) -- Ruby Performance Specialist (for high-traffic applications) - -#### Java Projects - -```yaml -- id: java_expert - name: "Jennifer Park" - title: "Java Expert" - specialties: - - "Enterprise Java" - - "Design patterns" - - "JVM optimization" - disciplines: - - "Object-oriented design" - - "SOLID principles" - - "Clean architecture" - skillsets: - - "Modern Java (17+)" - - "Spring ecosystem" - - "Microservices" - domains: - - "Enterprise applications" - - "Distributed systems" - - "Cloud services" - perspective: "Focuses on maintainable enterprise patterns and modern Java practices" -``` - -**Additional specialists**: -- Spring Boot Specialist -- Microservices Architect - -#### Go Projects - -```yaml -- id: go_expert - name: "Dmitri Ivanov" - title: "Go Expert" - specialties: - - "Idiomatic Go" - - "Concurrency patterns" - - "Service architecture" - disciplines: - - "Simplicity" - - "Composition over inheritance" - - "Clear error handling" - skillsets: - - "Goroutines and channels" - - "Standard library" - - "Performance profiling" - domains: - - "Microservices" - - "Cloud-native applications" - - "CLI tools" - perspective: "Advocates for Go's simplicity philosophy and effective concurrency" -``` - -**Additional specialists**: -- Microservices Architect -- Cloud-Native Specialist - -#### Rust Projects - -```yaml -- id: rust_expert - name: "Katya Volkov" - title: "Rust Expert" - specialties: - - "Memory safety" - - "Zero-cost abstractions" - - "Systems programming" - disciplines: - - "Ownership and borrowing" - - "Type-driven design" - - "Performance optimization" - skillsets: - - "Rust idioms" - - "Async Rust" - - "Unsafe code" - domains: - - "Systems software" - - "Performance-critical code" - - "Embedded systems" - perspective: "Emphasizes Rust's safety guarantees and performance characteristics" -``` - -**Additional specialists**: -- Systems Programmer -- Performance Specialist (Rust-specific) - -### Editing Members - -**To add a member**: -1. Copy the template from `assets/member-template.yml` -2. Fill in all fields appropriately -3. Add to `.architecture/members.yml` in the `members:` array -4. Choose a unique `id` (use lowercase with underscores) - -**To remove a member**: -1. Delete their entry from `.architecture/members.yml` -2. They won't appear in future reviews - -**To modify a member**: -1. Edit their entry in `.architecture/members.yml` -2. Changes apply to all future reviews - -### Core Members (Keep These) - -These core members should remain for all projects: -- **Systems Architect**: Overall architecture coherence -- **Domain Expert**: Business domain representation -- **Security Specialist**: Security analysis -- **Performance Specialist**: Performance and scalability -- **Maintainability Expert**: Code quality and technical debt -- **Pragmatic Enforcer**: YAGNI enforcement (if pragmatic mode enabled) - -**Add technology specialists, don't replace core members.** - ---- - -## Customize Architectural Principles - -The framework's architectural principles in `.architecture/principles.md` should be augmented with framework/technology-specific principles. - -### Framework-Specific Principles - -Add principles specific to your project's frameworks: - -#### React Projects - -**Component Composition**: -- Favor composition over inheritance -- Build reusable, focused components -- Use children props for flexibility - -**State Management**: -- Lift state only when necessary -- Use context for cross-cutting concerns -- Consider state management libraries for complex state - -**Hooks Best Practices**: -- Follow Rules of Hooks -- Custom hooks for reusable logic -- useEffect dependencies matter - -**Props Down, Events Up**: -- Data flows down via props -- Changes flow up via callbacks -- Unidirectional data flow - -#### Rails Projects - -**Convention Over Configuration**: -- Follow Rails conventions -- Don't fight the framework -- Configure only when necessary - -**DRY (Don't Repeat Yourself)**: -- Extract common code -- Use concerns and modules -- Avoid duplication across models/controllers - -**Fat Models, Skinny Controllers**: -- Business logic in models -- Controllers orchestrate only -- Keep views logic-free - -**RESTful Design**: -- Use resourceful routing -- Standard CRUD patterns -- Nested resources where appropriate - -#### Django Projects - -**Explicit Over Implicit**: -- Make behavior clear -- Avoid magic -- Prefer explicit configuration - -**Reusable Apps**: -- Design apps to be reusable -- Clear boundaries and interfaces -- Minimal coupling between apps - -**Use Built-In Features**: -- Leverage Django's admin -- Use ORM effectively -- Don't reinvent wheels - -**Template Inheritance**: -- Base templates for layouts -- Block-based composition -- DRY template code - -### Adding Custom Principles - -**Format**: -```markdown -## [Principle Number]. [Principle Name] - -[Description of the principle and why it matters] - -**In Practice**: -- [Specific application 1] -- [Specific application 2] -- [Specific application 3] - -**Anti-patterns to Avoid**: -- [Anti-pattern 1] -- [Anti-pattern 2] - -**Examples**: -[Code examples showing the principle in action] -``` - -**Where to add**: -- Append to `.architecture/principles.md` -- After the core principles (Livable Code, Clarity over Cleverness, etc.) -- Before any project-specific principles - ---- - -## Update CLAUDE.md Integration - -If your project has a `CLAUDE.md` file for Claude Code integration, append framework usage instructions. - -### Template - -Add this section to your project's `CLAUDE.md`: - -```markdown -## AI Software Architect Framework - -This project uses the AI Software Architect framework for architectural decision tracking and reviews. - -### Available Commands - -- **Create ADR**: "Create ADR for [decision]" -- **Architecture Review**: "Start architecture review for version X.Y.Z" -- **Specialist Review**: "Ask [specialist role] to review [target]" -- **Implementation**: "Implement [feature] as the architects" -- **List Members**: "List architecture members" -- **Status**: "What's our architecture status?" - -### Documentation - -All architecture documentation is in `.architecture/`: -- **ADRs**: `.architecture/decisions/adrs/` -- **Reviews**: `.architecture/reviews/` -- **Principles**: `.architecture/principles.md` -- **Team**: `.architecture/members.yml` -``` - -### Important Notes - -**Do NOT include**: -- Setup instructions (setup is one-time) -- Framework internals -- Implementation details - -**DO include**: -- Usage commands -- Where to find documentation -- How to invoke skills - -### Location - -Append to `CLAUDE.md` in project root (if it exists). If `CLAUDE.md` doesn't exist, you can create it or skip this step. - ---- - -## Configuration Options - -The framework's behavior is controlled via `.architecture/config.yml`. - -### Pragmatic Mode - -```yaml -pragmatic_mode: - enabled: true - intensity: balanced # strict | balanced | lenient - applies_to: - - reviews - - adrs - - implementation - exemptions: - - security - - compliance - - accessibility - - data_loss_prevention -``` - -**Intensity levels**: -- `strict`: Ratio target <1.0 (complexity < necessity) -- `balanced`: Ratio target <1.5 (moderate complexity acceptable) -- `lenient`: Ratio target <2.0 (strategic complexity tolerated) - -**When to enable**: -- **Strict**: MVP, tight timeline, small team -- **Balanced**: Normal development, sustainable pace -- **Lenient**: Platform building, long-term projects - -### Implementation Guidance - -```yaml -implementation: - enabled: true - methodology: TDD # TDD | BDD | DDD | Test-Last | Exploratory - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - languages: - ruby: - style_guide: "Rubocop" - test_framework: "RSpec" - javascript: - style_guide: "Airbnb" - test_framework: "Jest" -``` - -**Usage**: -When you say "Implement [feature] as the architects", the framework applies this methodology automatically. - -### Review Configuration - -```yaml -reviews: - frequency: - major_versions: required - features: optional - regular: quarterly - auto_track_actions: true - require_success_metrics: true -``` - ---- - -## Customization Checklist - -After installation, customize: - -- [ ] Add technology-specific members to `.architecture/members.yml` -- [ ] Add framework-specific principles to `.architecture/principles.md` -- [ ] Update `.architecture/config.yml` with team preferences -- [ ] Append framework usage to `CLAUDE.md` (if exists) -- [ ] Review and adjust pragmatic mode settings -- [ ] Configure implementation methodology (if using) -- [ ] Run initial system analysis -- [ ] Verify setup with "What's our architecture status?" - ---- - -## Best Practices - -**Do**: -- Customize based on actual project needs -- Add specialists for primary technologies -- Keep core members (Systems, Domain, Security, etc.) -- Tailor principles to your stack -- Enable pragmatic mode appropriately - -**Don't**: -- Add every possible specialist (overwhelms reviews) -- Remove core members (they provide essential perspectives) -- Copy principles verbatim without customization -- Enable strict pragmatic mode for established projects -- Skip initial analysis (provides valuable baseline) - -For the initial analysis template, see [../assets/initial-analysis-template.md](../assets/initial-analysis-template.md). diff --git a/.architecture/.claude/skills/setup-architect/references/installation-procedures.md b/.architecture/.claude/skills/setup-architect/references/installation-procedures.md deleted file mode 100644 index 594b5f3..0000000 --- a/.architecture/.claude/skills/setup-architect/references/installation-procedures.md +++ /dev/null @@ -1,403 +0,0 @@ -# Installation Procedures - Detailed Guide - -This document provides detailed step-by-step procedures for installing the AI Software Architect framework in a project. - -## Table of Contents - -1. [Prerequisites Verification](#prerequisites-verification) -2. [Framework Installation](#framework-installation) -3. [Agent Documentation Setup](#agent-documentation-setup) -4. [Cleanup Procedures](#cleanup-procedures) -5. [Troubleshooting](#troubleshooting) - ---- - -## Prerequisites Verification - -Before installing, verify the environment is ready. - -### Check Framework is Cloned - -The framework must be cloned into `.architecture/.architecture/`: - -```bash -if [ ! -d ".architecture/.architecture" ]; then - echo "❌ Framework not found. Please clone first:" - echo " git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture" - exit 1 -fi - -echo "✅ Framework found at .architecture/.architecture" -``` - -### Confirm Project Root - -Verify we're in the project root directory: - -```bash -# Look for common project markers -if [ -f "package.json" ] || [ -f "Gemfile" ] || [ -f "requirements.txt" ] || [ -f "go.mod" ] || [ -f "Cargo.toml" ]; then - echo "✅ In project root" -else - echo "⚠️ No project markers found. Are you in the project root?" - # Continue but warn user -fi -``` - ---- - -## Framework Installation - -### Step 1: Copy Framework Files - -Copy the framework from the cloned location to `.architecture/`: - -```bash -# Copy framework files (they're in the .architecture subfolder of the cloned repo) -cp -r .architecture/.architecture/.architecture/* .architecture/ - -# Verify copy succeeded -if [ $? -eq 0 ]; then - echo "✅ Framework files copied" -else - echo "❌ Copy failed" - exit 1 -fi -``` - -### Step 2: Remove Clone Directory - -Clean up the temporary clone directory: - -```bash -# Remove the clone directory (no longer needed) -rm -rf .architecture/.architecture - -if [ ! -d ".architecture/.architecture" ]; then - echo "✅ Clone directory removed" -fi -``` - -### Step 3: Create Directory Structure - -Create all required directories: - -```bash -# Create coding assistant directories -mkdir -p .coding-assistants/claude -mkdir -p .coding-assistants/cursor -mkdir -p .coding-assistants/codex - -# Create architecture directories -mkdir -p .architecture/decisions/adrs -mkdir -p .architecture/reviews -mkdir -p .architecture/recalibration -mkdir -p .architecture/comparisons -mkdir -p .architecture/agent_docs - -echo "✅ Directory structure created" -``` - -### Step 4: Initialize Configuration - -Copy the default configuration file: - -```bash -# Copy config template if exists -if [ -f ".architecture/templates/config.yml" ]; then - cp .architecture/templates/config.yml .architecture/config.yml - echo "✅ Configuration initialized" -else - echo "⚠️ No config template found" -fi -``` - -**Verify installation**: -```bash -# Check key directories exist -test -d .architecture/decisions/adrs && \ -test -d .architecture/reviews && \ -test -f .architecture/members.yml && \ -test -f .architecture/principles.md && \ -echo "✅ Installation verified" || echo "❌ Installation incomplete" -``` - ---- - -## Agent Documentation Setup - -Following ADR-006 (Progressive Disclosure), create agent-specific documentation. - -### Copy Existing Agent Docs (If Available) - -If the framework includes agent documentation, copy it as templates: - -```bash -if [ -d ".architecture/agent_docs" ]; then - # Backup existing files as templates - if [ -f ".architecture/agent_docs/workflows.md" ]; then - cp .architecture/agent_docs/workflows.md .architecture/agent_docs/workflows.md.template - fi - - if [ -f ".architecture/agent_docs/reference.md" ]; then - cp .architecture/agent_docs/reference.md .architecture/agent_docs/reference.md.template - fi - - if [ -f ".architecture/agent_docs/README.md" ]; then - cp .architecture/agent_docs/README.md .architecture/agent_docs/README.md.template - fi - - echo "✅ Agent docs backed up as templates" -fi -``` - -### Create Agent Documentation Files - -Create three core documentation files: - -**1. workflows.md** - Procedural documentation: -- Setup procedures (Claude Skills, Direct Clone, MCP) -- Architecture review process -- ADR creation workflow -- Implementation with methodology -- Step-by-step instructions for common tasks - -**2. reference.md** - Reference documentation: -- Pragmatic mode details and intensity levels -- Recalibration process -- Advanced configuration options -- Troubleshooting guide -- Configuration examples - -**3. README.md** - Navigation guide: -- Progressive disclosure explanation -- Quick navigation table (task → section) -- How to find information -- When to read which document - -**Content Guidelines**: -- AGENTS.md: ~400 lines, always-relevant overview -- agent_docs/: Task-specific details loaded as needed -- Keep workflows procedural and actionable -- Reference should be comprehensive but organized -- README should help users navigate effectively - ---- - -## Cleanup Procedures - -Remove framework development files that shouldn't be in user projects. - -### Remove Documentation Files - -```bash -# Remove framework documentation (users don't need these) -rm -f .architecture/README.md -rm -f .architecture/USAGE*.md -rm -f .architecture/INSTALL.md - -echo "✅ Framework docs removed" -``` - -### Remove Framework Git Repository - -**⚠️ CRITICAL SAFEGUARDS - READ CAREFULLY** - -Removing `.git` directory is destructive. Follow these safeguards: - -#### Safeguard 1: Verify Project Root - -```bash -# Check we're in project root (NOT in .architecture/) -if [ ! -f "package.json" ] && [ ! -f ".git/config" ] && [ ! -f "Gemfile" ]; then - echo "❌ ERROR: Not in project root. Stopping." - echo " Current directory: $(pwd)" - exit 1 -fi - -echo "✅ Verified in project root" -``` - -#### Safeguard 2: Verify Target Exists - -```bash -# Check .architecture/.git exists before attempting removal -if [ ! -d ".architecture/.git" ]; then - echo "✅ No .git directory to remove" - exit 0 -fi - -echo "⚠️ Found .architecture/.git - proceeding with verification" -``` - -#### Safeguard 3: Verify It's the Template Repo - -```bash -# Verify .git/config contains template repository URL -if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then - echo "❌ ERROR: .architecture/.git doesn't appear to be template repo" - echo " Found config:" - cat .architecture/.git/config 2>/dev/null || echo " (could not read config)" - echo "" - echo "⛔ STOPPING - User confirmation required" - exit 1 -fi - -echo "✅ Verified template repository" -``` - -#### Safeguard 4: Use Absolute Path - -```bash -# Get absolute path (never use relative paths with rm -rf) -ABS_PATH="$(pwd)/.architecture/.git" - -echo "Removing: $ABS_PATH" - -# Verify path is what we expect -if [[ "$ABS_PATH" != *"/.architecture/.git" ]]; then - echo "❌ ERROR: Path doesn't match expected pattern" - echo " Path: $ABS_PATH" - exit 1 -fi - -echo "✅ Path verified" -``` - -#### Safeguard 5: Execute Removal - -```bash -# Remove with absolute path (no wildcards!) -rm -rf "$ABS_PATH" - -# Verify removal -if [ ! -d ".architecture/.git" ]; then - echo "✅ Template .git removed successfully" -else - echo "⚠️ .git directory still exists" -fi -``` - -**Complete Safe Removal Script**: - -```bash -#!/bin/bash -# Safe removal of template repository .git directory - -set -e # Exit on any error - -echo "=== Safe .git Removal ===" - -# 1. Verify project root -if [ ! -f "package.json" ] && [ ! -f ".git/config" ] && [ ! -f "Gemfile" ]; then - echo "❌ Not in project root" - exit 1 -fi - -# 2. Check target exists -if [ ! -d ".architecture/.git" ]; then - echo "✅ No .git to remove" - exit 0 -fi - -# 3. Verify template repo -if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then - echo "❌ Not template repo - STOPPING" - exit 1 -fi - -# 4. Get absolute path -ABS_PATH="$(pwd)/.architecture/.git" - -# 5. Verify path pattern -if [[ "$ABS_PATH" != *"/.architecture/.git" ]]; then - echo "❌ Unexpected path - STOPPING" - exit 1 -fi - -# 6. Execute removal -echo "Removing: $ABS_PATH" -rm -rf "$ABS_PATH" - -# 7. Verify success -if [ ! -d ".architecture/.git" ]; then - echo "✅ Successfully removed" -else - echo "❌ Removal failed" - exit 1 -fi -``` - ---- - -## Troubleshooting - -### Common Issues - -**Issue**: "Framework not found at .architecture/.architecture" -- **Cause**: Framework not cloned -- **Solution**: `git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture` - -**Issue**: "Permission denied" errors during copy -- **Cause**: Insufficient file permissions -- **Solution**: `chmod -R u+rw .architecture/` - -**Issue**: "Directory already exists" during mkdir -- **Cause**: Framework already partially installed -- **Solution**: Check if framework is already set up: `ls -la .architecture/` - -**Issue**: ".git removal verification failed" -- **Cause**: Safety check detected unexpected repository -- **Solution**: Manually verify `.architecture/.git/config` contains template repo URL -- **Never**: Override safety checks without understanding why they failed - -**Issue**: "No project markers found" -- **Cause**: May not be in project root -- **Solution**: Verify you're in the correct directory, proceed with caution - -### Verification Commands - -**Check installation completeness**: -```bash -# Required directories -test -d .architecture/decisions/adrs && echo "✅ ADRs directory" || echo "❌ Missing ADRs" -test -d .architecture/reviews && echo "✅ Reviews directory" || echo "❌ Missing reviews" - -# Required files -test -f .architecture/members.yml && echo "✅ Members file" || echo "❌ Missing members" -test -f .architecture/principles.md && echo "✅ Principles file" || echo "❌ Missing principles" -test -f .architecture/config.yml && echo "✅ Config file" || echo "❌ Missing config" -``` - -**Check for leftover framework files**: -```bash -# These should NOT exist after cleanup -test -f .architecture/README.md && echo "⚠️ Framework README still present" -test -d .architecture/.git && echo "⚠️ Template .git still present" -test -d .architecture/.architecture && echo "⚠️ Clone directory still present" -``` - -### Recovery - -**If installation fails mid-process**: -1. Remove partial installation: `rm -rf .architecture/` (if nothing important there yet) -2. Re-clone framework: `git clone https://github.com/codenamev/ai-software-architect .architecture/.architecture` -3. Start over from Step 1 - -**If you accidentally removed the wrong .git**: -- If it was your project's .git: **Restore from backup immediately** -- If you don't have a backup: Recovery may not be possible -- This is why the safeguards are critical - ---- - -## Post-Installation - -After installation is complete: - -1. **Verify setup**: Run `"What's our architecture status?"` -2. **Review customizations**: Check `.architecture/members.yml` and `.architecture/principles.md` -3. **Run initial analysis**: The setup process creates an initial system analysis -4. **Create first ADR**: Document an early architectural decision - -For customization procedures, see [customization-guide.md](./customization-guide.md). diff --git a/.architecture/.claude/skills/specialist-review/SKILL.md b/.architecture/.claude/skills/specialist-review/SKILL.md deleted file mode 100644 index 26011fc..0000000 --- a/.architecture/.claude/skills/specialist-review/SKILL.md +++ /dev/null @@ -1,199 +0,0 @@ ---- -name: specialist-review -description: Conducts a focused review from ONE specific specialist's perspective (e.g., Security Specialist, Performance Expert). Use when the user requests "Ask [specialist role] to review [target]", "Get [specialist]'s opinion on [topic]", "Have [role] review [code/component]", or when they want deep expertise in ONE specific domain. Do NOT use for comprehensive multi-perspective reviews (use architecture-review instead) or for listing available specialists (use list-members instead). -allowed-tools: Read,Write,Glob,Grep ---- - -# Specialist Review - -Conducts focused reviews from a specific specialist's perspective. - -## Overview - -This skill performs a deep-dive review from one specialist's expertise: -1. Parses which specialist and what target to review -2. Loads or creates the specialist in the team -3. Analyzes the target from that specialist's unique lens -4. Conducts expert-level review with specific findings -5. Generates detailed review document -6. Reports key findings and recommendations - -**Specialist guidance**: [references/specialist-perspectives.md](references/specialist-perspectives.md) -**Review template**: [assets/specialist-review-template.md](assets/specialist-review-template.md) - -## High-Level Workflow - -### 1. Parse Request - -Extract from user request: -- **Specialist role**: Which expert? (e.g., "Security Specialist", "Performance Expert") -- **Target**: What to review? (e.g., "API authentication", "database queries") - -**Input validation**: Apply sanitization from `_patterns.md`: -- Specialist role: Alphanumeric + spaces/hyphens only, convert to kebab-case for filename -- Target: Remove dangerous characters, convert to kebab-case -- Combined filename length: max 100 characters - -**Examples**: -- "Security Specialist" + "API authentication" → `security-specialist-api-authentication.md` -- "Ruby Expert" + "ActiveRecord models" → `ruby-expert-activerecord-models.md` - -### 2. Load or Create Specialist - -Check `.architecture/members.yml` for the requested specialist. - -**If exists**: Load their profile (specialties, disciplines, domains, perspective) - -**If doesn't exist**: Create new member and add to `members.yml`: -```yaml -- id: [specialist_id] - name: "[Person Name]" - title: "[Specialist Title]" - specialties: ["[Specialty 1]", "[Specialty 2]", "[Specialty 3]"] - disciplines: ["[Discipline 1]", "[Discipline 2]"] - skillsets: ["[Skill 1]", "[Skill 2]"] - domains: ["[Domain 1]", "[Domain 2]"] - perspective: "[Their unique viewpoint]" -``` - -Inform user: "I've added [Name] ([Title]) to your architecture team." - -**Specialist guidance**: See [references/specialist-perspectives.md § Creating New Specialists](references/specialist-perspectives.md#creating-new-specialists) - -### 3. Analyze Target - -Use available tools to examine the target: -- `Glob` to find relevant files -- `Grep` to search for patterns -- `Read` to examine code, configs, documentation - -**Understand**: -- Current implementation -- Dependencies and context -- Related ADRs or documentation -- Patterns being used - -### 4. Conduct Expert Review - -Adopt the specialist's persona and expertise. Apply their unique lens. - -**Review from specialist's perspective**: -- Focus on their domain of expertise (security, performance, maintainability, etc.) -- Provide expert-level insights, not surface-level comments -- Reference specific files, line numbers, and code -- Explain impact and provide actionable fixes - -**Review structure** (for each specialist): -- Specialist perspective and focus -- Executive summary with assessment -- Current implementation description -- Strengths identified -- Concerns with severity and specific fixes -- Recommendations (immediate, short-term, long-term) -- Best practices and industry standards -- Code examples showing issues and improvements -- Risks if not addressed -- Success metrics - -**Detailed guidance by specialist**: [references/specialist-perspectives.md § Core Specialists](references/specialist-perspectives.md#core-specialists) - -**Review template**: Load and fill [assets/specialist-review-template.md](assets/specialist-review-template.md) - -### 5. Create Review Document - -Load the template: -```bash -cat .claude/skills/specialist-review/assets/specialist-review-template.md -``` - -Fill in all sections with detailed, specific findings. - -**Save to**: `.architecture/reviews/[specialist-role]-[target].md` - -**Format**: `[role-kebab-case]-[target-kebab-case].md` - -### 6. Report to User - -Provide concise summary: - -``` -[Specialist Title] Review Complete: [Target] - -Reviewer: [Specialist Name] -Location: .architecture/reviews/[filename].md -Assessment: [Overall assessment] - -Key Findings: -1. [Most important finding] -2. [Second finding] -3. [Third finding] - -Priority Actions: -1. [Critical action 1] -2. [Critical action 2] - -Critical Issues: [Count] -High Priority: [Count] -Total Recommendations: [Count] - -Next Steps: -- Address critical issues immediately -- Review detailed findings in document -- [Specific next action based on findings] -``` - -## Specialist Quick Reference - -**Core Specialists** (see [references/specialist-perspectives.md](references/specialist-perspectives.md)): -- **Security Specialist**: Authentication, authorization, vulnerabilities, OWASP -- **Performance Specialist**: Query optimization, caching, bottlenecks, scalability -- **Domain Expert**: Business logic, domain models, ubiquitous language -- **Maintainability Expert**: Code quality, technical debt, testability -- **Systems Architect**: Architecture patterns, component interaction, coherence -- **AI Engineer**: LLM integration, agent orchestration, evaluation - -**Technology Specialists**: -- **JavaScript/Python/Ruby/Go/Rust Expert**: Language-specific best practices -- **Framework Specialists**: React, Rails, Django, Spring, etc. - -**Creating new specialists**: Automatically added to team when requested - -## Related Skills - -**Before Specialist Review**: -- `list-members` - See available specialists -- `architecture-status` - Check if area previously reviewed - -**After Specialist Review**: -- `create-adr` - Document decisions from findings -- `architecture-review` - Include in comprehensive review -- Request another specialist for different domain perspective - -**Workflow Examples**: -1. Security review → Finds auth issue → Create ADR → Performance review -2. Ruby Expert review → Rails-specific guidance → Implement → Follow-up review -3. Full architecture review → Deep-dive with specialists on concerns - -## Quality Guidelines - -**Excellent specialist reviews**: -- Stay laser-focused within domain -- Provide expert-level, not generic, insights -- Reference exact files and line numbers -- Include code examples (current vs recommended) -- Explain "why", not just "what" -- Consider context and constraints -- Provide actionable, implementable advice -- Estimate effort for each recommendation - -**Avoid**: -- Straying outside specialist's domain -- Vague or surface-level comments -- Missing specific locations -- Recommendations without implementation guidance - -## Documentation - -- **Specialist guidance**: [references/specialist-perspectives.md](references/specialist-perspectives.md) -- **Review template**: [assets/specialist-review-template.md](assets/specialist-review-template.md) -- **Common patterns**: [../_patterns.md](../_patterns.md) diff --git a/.architecture/.claude/skills/specialist-review/assets/specialist-review-template.md b/.architecture/.claude/skills/specialist-review/assets/specialist-review-template.md deleted file mode 100644 index 9e197cd..0000000 --- a/.architecture/.claude/skills/specialist-review/assets/specialist-review-template.md +++ /dev/null @@ -1,296 +0,0 @@ -# [Specialist Title] Review: [Target] - -**Reviewer**: [Specialist Name], [Specialist Title] -**Target**: [What's being reviewed - be specific] -**Date**: [YYYY-MM-DD] -**Review Type**: Specialist Review - ---- - -## Specialist Perspective - -**Focus**: [What this specialist looks for based on their expertise] - -[Brief explanation of this specialist's unique lens and what they prioritize in reviews] - ---- - -## Executive Summary - -[Write 2-3 sentences summarizing the review findings] - -**Overall Assessment**: Excellent | Good | Adequate | Needs Improvement | Critical Issues - -**Key Findings**: -- [Most significant finding] -- [Second most significant finding] -- [Third most significant finding] - -**Critical Actions Required**: [Number of critical items] - ---- - -## Current Implementation - -[Describe what was reviewed with specific file references and context] - -**Scope Reviewed**: -- [Component/feature 1] -- [Component/feature 2] -- [Component/feature 3] - -**Key Components**: -- `[file.ext:line]`: [Brief description of component] -- `[file.ext:line]`: [Brief description] -- `[file.ext:line]`: [Brief description] - -**Pattern/Approach Used**: [Describe the pattern or approach currently implemented] - ---- - -## Assessment - -### Strengths - -[Identify what's working well from this specialist's perspective] - -1. **[Strength Title]**: [Description of what's good and why it matters from this specialist's viewpoint] - -2. **[Strength Title]**: [Description] - -3. **[Strength Title]**: [Description] - -[Aim for 3-5 strengths - recognize good practices] - -### Concerns - -[Identify issues, weaknesses, and areas needing improvement] - -1. **[Concern Title]** (Severity: Critical | High | Medium | Low) - - **Issue**: [Clear description of what's wrong or could be improved] - - **Location**: `[file.ext:line-range]` - - **Impact**: [What problems this causes - performance, security, maintainability, etc.] - - **Fix**: [Specific, actionable recommendation] - - **Effort**: Small | Medium | Large - -2. **[Concern Title]** (Severity: Critical | High | Medium | Low) - - **Issue**: [Description] - - **Location**: `[file.ext:line]` - - **Impact**: [Impact] - - **Fix**: [Recommendation] - - **Effort**: Small | Medium | Large - -3. **[Concern Title]** (Severity: Critical | High | Medium | Low) - - [Details] - -[Continue with additional concerns - prioritize by severity] - -### Observations - -[Neutral observations that aren't necessarily problems but worth noting] - -- **[Observation]**: [Description and context] -- **[Observation]**: [Description] -- **[Observation]**: [Description] - ---- - -## Recommendations - -### Immediate (0-2 Weeks) - -[Critical and high-priority items that should be addressed right away] - -1. **[Recommendation Title]** - - **What**: [Specific action to take] - - **Why**: [Reason and benefit] - - **How**: [Implementation approach] - - **Effort**: Small | Medium | Large - - **Priority**: Critical | High - -2. **[Recommendation]** - - [Details] - -### Short-term (2-8 Weeks) - -[Important improvements to address in the near term] - -1. **[Recommendation Title]** - - **What**: [Action] - - **Why**: [Reason] - - **How**: [Approach] - - **Effort**: Small | Medium | Large - - **Priority**: Medium - -2. **[Recommendation]** - - [Details] - -### Long-term (2-6 Months) - -[Strategic improvements for future consideration] - -1. **[Recommendation Title]** - - **What**: [Action] - - **Why**: [Strategic value] - - **How**: [High-level approach] - - **Effort**: Medium | Large - - **Priority**: Low | Nice-to-Have - -2. **[Recommendation]** - - [Details] - ---- - -## Best Practices - -[Industry best practices relevant to this specialist's domain] - -1. **[Practice Title]**: [Description of best practice and how it applies to this codebase] - -2. **[Practice Title]**: [Description] - -3. **[Practice Title]**: [Description] - -**Industry Standards**: [Reference relevant standards, guidelines, or frameworks] -- [Standard 1]: [How it applies] -- [Standard 2]: [How it applies] - ---- - -## Code Examples - -[Provide concrete code examples showing current issues and recommended improvements] - -### Example 1: [Issue Title] - -**Current Implementation (Problematic)**: -```[language] -[Code snippet showing the concern] -``` - -**Issues**: -- [Issue 1] -- [Issue 2] -- [Issue 3] - -**Recommended Improvement**: -```[language] -[Code snippet showing the improved approach] -``` - -**Benefits**: -- [Benefit 1] -- [Benefit 2] -- [Benefit 3] - -### Example 2: [Issue Title] - -[Repeat structure for additional examples] - ---- - -## Risks - -**If Recommendations Not Addressed**: - -1. **[Risk Title]** (Likelihood: High | Medium | Low, Impact: High | Medium | Low) - - **Description**: [What could go wrong] - - **Timeframe**: [When this might occur] - - **Impact**: [Consequences] - - **Mitigation**: [How to reduce or eliminate risk] - -2. **[Risk Title]** (Likelihood, Impact) - - **Description**: [Risk description] - - **Timeframe**: [When] - - **Impact**: [Consequences] - - **Mitigation**: [How to address] - -3. **[Risk Title]** (Likelihood, Impact) - - [Details] - ---- - -## Success Metrics - -[Define how to measure improvement after implementing recommendations] - -1. **[Metric Name]** - - **Current**: [Baseline value] - - **Target**: [Desired value] - - **Timeline**: [When to achieve] - - **How to Measure**: [Measurement method] - -2. **[Metric Name]**: Current → Target (Timeline) - -3. **[Metric Name]**: Current → Target (Timeline) - -[Examples: -- Test Coverage: 40% → 80% (6 weeks) -- Response Time: 2s → 300ms (4 weeks) -- Security Score: 6/10 → 9/10 (8 weeks) -] - ---- - -## Follow-up - -**Re-Review Recommended**: [When to conduct follow-up review] - -**Success Criteria for Closure**: -- [ ] [Criterion 1] -- [ ] [Criterion 2] -- [ ] [Criterion 3] - -**Next Steps**: -1. [Immediate next step] -2. [Second next step] -3. [Third next step] - -**Related Reviews**: -- [Link to related reviews if any] - -**Related ADRs**: -- [Link to relevant ADRs if decisions are needed] - ---- - -## Appendix - -### Review Scope - -**What Was Reviewed**: -- [Scope item 1] -- [Scope item 2] -- [Scope item 3] - -**What Was Not Reviewed**: -- [Out of scope item 1] -- [Out of scope item 2] - -### Methodology - -This review was conducted by analyzing: -- Code structure and implementation -- [Relevant documentation] -- [Test coverage] -- [Performance metrics] -- [Security scan results] -- [Other relevant inputs] - -### References - -**Documentation Reviewed**: -- [Document 1] -- [Document 2] - -**Standards Referenced**: -- [Standard 1] -- [Standard 2] - -**Tools Used**: -- [Tool 1] -- [Tool 2] - ---- - -**Review Complete** diff --git a/.architecture/.claude/skills/specialist-review/references/specialist-perspectives.md b/.architecture/.claude/skills/specialist-review/references/specialist-perspectives.md deleted file mode 100644 index 79754b2..0000000 --- a/.architecture/.claude/skills/specialist-review/references/specialist-perspectives.md +++ /dev/null @@ -1,511 +0,0 @@ -# Specialist Perspectives - Review Guidance - -This document provides detailed guidance for conducting reviews from each specialist's unique perspective. - -## Table of Contents - -1. [General Review Approach](#general-review-approach) -2. [Core Specialists](#core-specialists) -3. [Technology Specialists](#technology-specialists) -4. [Creating New Specialists](#creating-new-specialists) - ---- - -## General Review Approach - -All specialist reviews should follow these principles: - -### Stay Focused - -**Do**: -- Laser-focus on your domain of expertise -- Deep-dive within your specialty -- Provide expert-level insights - -**Don't**: -- Stray into other specialists' domains -- Provide surface-level general comments -- Dilute expertise by being too broad - -### Be Specific - -**Always include**: -- Exact file paths and line numbers -- Concrete code examples -- Specific recommendations - -**Example**: -- ❌ "The authentication is insecure" -- ✅ "The authentication in `src/auth/login.ts:45` uses MD5 hashing, which is cryptographically broken. Migrate to bcrypt with salt rounds ≥12." - -### Provide Context - -**Explain**: -- Why this matters (impact) -- Industry standards or best practices -- Trade-offs of recommendations -- Effort required - -### Be Actionable - -**Every concern should include**: -- What's wrong -- Where it is (file:line) -- Impact if not fixed -- Specific fix with implementation approach -- Effort estimate - ---- - -## Core Specialists - -These specialists are part of the framework's core team. - -### Security Specialist - -**Role**: Identifies security vulnerabilities, threats, and risks. - -**Focus Areas**: -- **Authentication**: Login mechanisms, password handling, session management -- **Authorization**: Access control, permissions, role-based access -- **Input Validation**: XSS, SQL injection, command injection prevention -- **Data Protection**: Encryption at rest/transit, PII handling, secrets management -- **OWASP Top 10**: Cross-check against current OWASP vulnerabilities -- **Compliance**: GDPR, HIPAA, PCI-DSS requirements -- **API Security**: Rate limiting, CORS, API keys, OAuth flows -- **Dependencies**: Known CVEs in libraries - -**Review Checklist**: -- [ ] Authentication mechanism reviewed -- [ ] Authorization boundaries checked -- [ ] All user inputs validated -- [ ] Sensitive data encrypted -- [ ] Secrets not hardcoded -- [ ] HTTPS enforced -- [ ] CORS configured correctly -- [ ] Rate limiting implemented -- [ ] Dependencies scanned for CVEs - -**Severity Levels**: -- **Critical**: Exploitable vulnerability, immediate data breach risk -- **High**: Security weakness requiring prompt attention -- **Medium**: Security concern to address in near term -- **Low**: Security improvement opportunity - -**Example Concerns**: -``` -1. **SQL Injection Vulnerability** (Severity: Critical) - - **Issue**: User input directly interpolated into SQL query - - **Location**: `src/db/users.js:23` - - **Impact**: Attacker can read/modify/delete any database record - - **Fix**: Use parameterized queries with prepared statements - - **Code**: - ```javascript - // Current (VULNERABLE) - const query = `SELECT * FROM users WHERE email = '${email}'`; - - // Recommended (SAFE) - const query = 'SELECT * FROM users WHERE email = ?'; - db.query(query, [email]); - ``` -``` - -**Best Practices to Reference**: -- OWASP Secure Coding Practices -- CWE (Common Weakness Enumeration) -- NIST guidelines -- Industry security standards - ---- - -### Performance Specialist - -**Role**: Optimizes system performance, scalability, and resource utilization. - -**Focus Areas**: -- **Query Optimization**: Database query efficiency, indexes, N+1 queries -- **Caching**: Cache strategies, TTL, invalidation, cache hits -- **Resource Utilization**: CPU, memory, disk I/O, network -- **Bottlenecks**: Profiling, hotspots, performance critical paths -- **Load Handling**: Concurrency, async operations, connection pooling -- **Scalability**: Horizontal/vertical scaling, load balancing -- **Frontend Performance**: Bundle size, lazy loading, rendering - -**Review Checklist**: -- [ ] Database queries optimized -- [ ] Proper indexing in place -- [ ] N+1 query problems identified -- [ ] Caching opportunities evaluated -- [ ] Async operations for I/O -- [ ] Resource usage profiled -- [ ] Scalability concerns addressed -- [ ] Frontend bundle size reasonable - -**Metrics to Measure**: -- Response time (p50, p95, p99) -- Throughput (requests/second) -- Database query time -- Cache hit rate -- Memory usage -- CPU utilization - -**Example Concerns**: -``` -1. **N+1 Query Problem** (Severity: High) - - **Issue**: Loading users in loop triggers 1000+ database queries - - **Location**: `src/controllers/orders.js:45-52` - - **Impact**: 15-second page load time, database overload - - **Fix**: Use eager loading to fetch all users in single query - - **Code**: - ```javascript - // Current (INEFFICIENT - N+1 queries) - const orders = await Order.findAll(); - for (const order of orders) { - order.user = await User.findById(order.userId); // N queries! - } - - // Recommended (EFFICIENT - 1 query) - const orders = await Order.findAll({ - include: [{ model: User }] - }); - ``` - - **Expected Improvement**: 15s → 0.3s (50x faster) -``` - ---- - -### Domain Expert - -**Role**: Ensures architecture accurately represents business domain and concepts. - -**Focus Areas**: -- **Domain Models**: Entities, value objects, aggregates -- **Business Logic**: Rules, workflows, calculations -- **Ubiquitous Language**: Consistent terminology -- **Bounded Contexts**: Clear domain boundaries -- **Business Rules**: Validation, invariants, constraints -- **Semantic Accuracy**: Code reflects domain accurately - -**Review Checklist**: -- [ ] Domain concepts clearly modeled -- [ ] Business logic in domain layer (not scattered) -- [ ] Ubiquitous language used consistently -- [ ] Bounded contexts well-defined -- [ ] Business rules enforced -- [ ] Domain invariants protected - -**Example Concerns**: -``` -1. **Anemic Domain Model** (Severity: Medium) - - **Issue**: `Order` class is data container with no business logic - - **Location**: `src/models/Order.js` - - **Impact**: Business logic scattered in controllers, hard to maintain - - **Fix**: Move order calculation and validation into Order class - - **Code**: - ```javascript - // Current (ANEMIC) - class Order { - constructor(items) { - this.items = items; - } - } - // Business logic in controller - const total = order.items.reduce((sum, item) => sum + item.price, 0); - - // Recommended (RICH DOMAIN MODEL) - class Order { - constructor(items) { - this.items = items; - } - - calculateTotal() { - return this.items.reduce((sum, item) => sum + item.price, 0); - } - - applyDiscount(discount) { - if (discount < 0 || discount > 1) { - throw new InvalidDiscountError(); - } - // Domain logic stays with domain object - } - } - ``` -``` - ---- - -### Maintainability Expert - -**Role**: Ensures code is maintainable, evolvable, and understandable. - -**Focus Areas**: -- **Code Quality**: Readability, clarity, simplicity -- **Technical Debt**: Code smells, anti-patterns, cruft -- **Documentation**: Comments, READMEs, inline docs -- **Testability**: Unit tests, test coverage, mocking -- **Complexity**: Cyclomatic complexity, coupling, cohesion -- **Refactoring**: Opportunities to improve structure - -**Review Checklist**: -- [ ] Code is readable and clear -- [ ] Functions/methods are focused -- [ ] Complexity is reasonable -- [ ] Technical debt identified -- [ ] Tests exist and are meaningful -- [ ] Documentation is adequate -- [ ] Code smells flagged - -**Code Smells to Watch For**: -- Long methods (>20-30 lines) -- Large classes (>300 lines) -- Deep nesting (>3 levels) -- Duplicate code -- Magic numbers -- God objects -- Feature envy - -**Example Concerns**: -``` -1. **God Class Anti-pattern** (Severity: Medium) - - **Issue**: `UserService` has 45 methods handling auth, profile, notifications, billing - - **Location**: `src/services/UserService.js` (1,200 lines) - - **Impact**: Hard to understand, test, modify; violates single responsibility - - **Fix**: Split into focused services - - **Recommended Structure**: - ``` - src/services/ - ├── AuthenticationService.js (login, logout, sessions) - ├── UserProfileService.js (profile CRUD) - ├── NotificationService.js (user notifications) - └── BillingService.js (user billing) - ``` - - **Benefit**: Each service <300 lines, single responsibility, easier testing -``` - ---- - -### Systems Architect - -**Role**: Evaluates overall system coherence, patterns, and architectural decisions. - -**Focus Areas**: -- **Architecture Patterns**: MVC, CQRS, Event Sourcing, Microservices -- **Component Interaction**: How pieces fit together -- **Separation of Concerns**: Proper layering and boundaries -- **Scalability**: System design for growth -- **Integration**: External system connections -- **Consistency**: Architectural principles applied consistently - -**Review Checklist**: -- [ ] Architecture pattern appropriately applied -- [ ] Components properly separated -- [ ] Dependencies flow correctly -- [ ] Scalability considered -- [ ] Integration points well-designed -- [ ] Architectural principles followed - ---- - -### AI Engineer - -**Role**: Reviews AI/ML integration, LLM applications, and agent systems. - -**Focus Areas**: -- **LLM Integration**: Prompt design, context management, token efficiency -- **Agent Orchestration**: Multi-agent coordination, task decomposition -- **Evaluation**: Metrics, benchmarks, quality assessment -- **Observability**: Logging, tracing, debugging AI behavior -- **RAG Systems**: Retrieval strategies, context relevance -- **Prompt Engineering**: Template design, chain-of-thought, few-shot - -**Review Checklist**: -- [ ] Prompts are well-designed and tested -- [ ] Context windows managed efficiently -- [ ] Evaluation metrics defined -- [ ] Observability implemented -- [ ] Error handling for AI failures -- [ ] Cost management (token usage) - ---- - -## Technology Specialists - -Add these when reviewing technology-specific code. - -### JavaScript Expert - -**Focus**: Modern JavaScript/TypeScript, async patterns, ES6+, Node.js - -**Key Areas**: -- Promises, async/await usage -- Error handling patterns -- Module system (ESM/CommonJS) -- TypeScript type safety -- Memory leaks in closures -- Event loop understanding - -**Common Issues**: -- Unhandled promise rejections -- Callback hell -- Blocking the event loop -- Type assertions bypassing safety -- Improper this binding - ---- - -### Python Expert - -**Focus**: Pythonic code, PEP compliance, async patterns - -**Key Areas**: -- PEP 8 style compliance -- Type hints (mypy) -- Generator/iterator usage -- Context managers -- Async/await patterns -- Package structure - -**Common Issues**: -- Non-Pythonic code -- Mutable default arguments -- Global state misuse -- Blocking I/O in async code -- Import cycles - ---- - -### Ruby Expert - -**Focus**: Ruby idioms, Rails conventions, metaprogramming - -**Key Areas**: -- Ruby idioms and patterns -- Rails conventions -- Metaprogramming (when/when not) -- ActiveRecord usage -- Gem dependencies -- RuboCop compliance - -**Common Issues**: -- Fighting Rails conventions -- N+1 queries in ActiveRecord -- Overuse of metaprogramming -- Callback hell in models -- Fat controllers - ---- - -### Go Expert - -**Focus**: Idiomatic Go, concurrency, simplicity - -**Key Areas**: -- Goroutines and channels -- Error handling (not panic) -- Interface design -- Context usage -- Standard library preference -- Concurrency patterns - -**Common Issues**: -- Goroutine leaks -- Ignoring errors -- Overuse of interfaces -- Improper context propagation -- Not following Go conventions - ---- - -### Rust Expert - -**Focus**: Ownership/borrowing, memory safety, zero-cost abstractions - -**Key Areas**: -- Ownership rules -- Lifetime annotations -- Error handling (Result) -- Unsafe code justification -- Async Rust patterns -- Zero-copy optimizations - -**Common Issues**: -- Fighting the borrow checker -- Unnecessary clones -- Unsafe code without documentation -- Blocking in async functions -- Not leveraging zero-cost abstractions - ---- - -## Creating New Specialists - -When a specialist doesn't exist in `.architecture/members.yml`: - -### Step 1: Define the Specialist - -Create a new member entry: - -```yaml -- id: [specialist_id] # e.g., graphql_specialist - name: "[Person Name]" - title: "[Specialist Title]" - specialties: - - "[Primary specialty]" - - "[Secondary specialty]" - - "[Tertiary specialty]" - disciplines: - - "[Discipline 1]" - - "[Discipline 2]" - skillsets: - - "[Skill 1]" - - "[Skill 2]" - domains: - - "[Domain 1]" - - "[Domain 2]" - perspective: "[One sentence describing their unique viewpoint]" -``` - -### Step 2: Define Their Focus - -Document what this specialist reviews: -- Primary focus areas -- Key concerns -- Review checklist -- Common issues -- Best practices to reference - -### Step 3: Add to Team - -Update `.architecture/members.yml` with the new specialist. - -Inform user: "I've added [Name] ([Title]) to your architecture team." - ---- - -## Review Quality Guidelines - -### Excellent Reviews Include - -1. **Specific Issues**: File paths, line numbers, code snippets -2. **Impact Analysis**: Why it matters, what breaks if not fixed -3. **Concrete Solutions**: Exact recommendations with code examples -4. **Effort Estimates**: Small/Medium/Large for each recommendation -5. **Priority**: Critical/High/Medium/Low severity -6. **Context**: Industry standards, best practices cited -7. **Trade-offs**: Acknowledge when recommendations have costs - -### Avoid - -1. **Vague Concerns**: "Code is messy" → Be specific -2. **Out of Domain**: Security specialist shouldn't review performance -3. **Surface-Level**: Provide deep expert-level insights -4. **No Solutions**: Every concern needs actionable fix -5. **Missing Context**: Explain why, not just what - ---- - -## Reference Templates - -For the complete review document structure, see [../assets/specialist-review-template.md](../assets/specialist-review-template.md). - -For member YAML format, see the setup-architect skill's member template. diff --git a/.architecture/.coding-assistants/README.md b/.architecture/.coding-assistants/README.md deleted file mode 100644 index 974449f..0000000 --- a/.architecture/.coding-assistants/README.md +++ /dev/null @@ -1,84 +0,0 @@ -# Coding Assistants Configuration - -This directory contains configuration files, templates, and supporting materials for integrating various AI coding assistants with the AI Software Architect framework. - -## Directory Structure - -### Assistant Configuration Directories -- **`claude/`** - Claude Code configuration and documentation -- **`cursor/`** - Cursor Rules files for framework integration -- **`codex/`** - GitHub Copilot/Codex setup and configuration - -### Supporting Directories -- **`templates/`** - Setup templates used during automated framework installation -- **`examples/`** - Real-world project configuration examples for different technology stacks -- **`testing/`** - Testing procedures and verification guides for assistant setup - -## Configuration Approaches - -Each assistant uses a different configuration method tailored to its capabilities: - -### Claude Code -- **Single file approach**: Uses `CLAUDE.md` with comprehensive framework guidance -- **Setup automation**: Automated 6-step setup process with project customization -- **Dynamic adaptation**: Creates new architecture member roles as needed - -### Cursor -- **Rules-based approach**: Uses multiple `.mdc` files following Cursor's Rules documentation -- **Contextual activation**: Rules apply automatically based on file patterns (globs) -- **Modular organization**: Separate rules for overview, setup, usage, structure, and reviews - -### GitHub Copilot/Codex -- **Context-driven approach**: Uses natural language recognition and project context -- **Implicit configuration**: No explicit config files, relies on architecture documentation -- **Pattern recognition**: Learns from existing architecture files and conventions - -## Directory Relationships - -### Assistant Directories → User Projects -During setup, assistants use their configuration files to: -- Install and configure the framework in user projects -- Customize architecture members for detected technology stacks -- Append appropriate content to user project configuration files - -### Templates → Setup Automation -Templates provide the content that assistants use to: -- Generate technology-specific guidance for user projects -- Append framework commands to user configuration files -- Provide post-setup onboarding and usage instructions - -### Examples → Reference Material -Examples demonstrate how the framework should be customized for: -- Different technology stacks (Rails, Node.js, Python, etc.) -- Various project types (web apps, mobile apps, backend services) -- Specific architectural patterns and conventions - -### Testing → Quality Assurance -Testing files ensure that: -- All assistants can successfully set up the framework -- Cross-assistant compatibility is maintained -- Setup processes work consistently across different project types - -## Shared Architecture Understanding - -All coding assistants integrate with the common `.architecture/` directory structure: - -- `.architecture/decisions/` - Architecture Decision Records (ADRs) -- `.architecture/reviews/` - Architecture review documents -- `.architecture/recalibration/` - Post-review action plans -- `.architecture/members.yml` - Architecture team member definitions -- `.architecture/principles.md` - Project architectural principles - -## Setup Flow - -1. **User triggers setup** with command like "Setup architecture using: https://github.com/codenamev/ai-software-architect" -2. **Assistant detects technology stack** from project files (package.json, Gemfile, etc.) -3. **Framework installation** from cloned repository to `.architecture/` directory -4. **Configuration customization** using templates and examples for detected stack -5. **User guidance** provided with technology-specific commands and examples - -## Documentation Links - -- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code) -- [Cursor Rules Documentation](https://docs.cursor.com/context/rules) -- [GitHub Copilot Documentation](https://docs.github.com/en/copilot) \ No newline at end of file diff --git a/.architecture/.coding-assistants/claude-code/claude-code.md b/.architecture/.coding-assistants/claude-code/claude-code.md deleted file mode 120000 index e96d484..0000000 --- a/.architecture/.coding-assistants/claude-code/claude-code.md +++ /dev/null @@ -1 +0,0 @@ -../claude/CLAUDE.md \ No newline at end of file diff --git a/.architecture/.coding-assistants/claude/CLAUDE.md b/.architecture/.coding-assistants/claude/CLAUDE.md deleted file mode 100644 index e51c8de..0000000 --- a/.architecture/.coding-assistants/claude/CLAUDE.md +++ /dev/null @@ -1,91 +0,0 @@ -# CLAUDE.md - -This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. - -## Project Overview - -AI Software Architect is a framework for organizing and structuring software architecture design with support for multiple AI coding assistants. It provides a structured approach to architecture documentation and decision-making, with specialized support for Claude Code, Cursor, and GitHub Copilot/Codex. - -## Key Commands - -### Setup and Installation - -```bash -# Install dependencies -# TODO: Add specific installation commands -``` - -### Testing and Linting - -```bash -# Run the test suite -# TODO: Add testing commands - -# Run linting -# TODO: Add linting commands -``` - -## Architecture - -AI Software Architect follows a modular architecture: - -1. **Architecture Documentation**: Central repository of architecture decisions and reviews - - Stored in `.architecture/` directory - - Follows a structured format for decisions, reviews, and recalibration - - Version-controlled with clear naming conventions - -2. **Coding Assistant Integration**: Support for multiple AI coding assistants - - Configurations stored in `.coding-assistants/` directory - - Each assistant has its own subdirectory with appropriate configuration - - Shared understanding of architecture across all assistants - -## Code Flow - -The typical workflow in this codebase is: - -1. Create architecture decisions in `.architecture/decisions/` -2. Document architecture reviews in `.architecture/reviews/` -3. Plan recalibration actions in `.architecture/recalibration/` -4. Configure coding assistants in `.coding-assistants/` directory - -## Development Guidelines - -You are an experienced software architect with expertise in AI-assisted development. - -1. **Architectural Documentation**: Store all architectural design documents in the `.architecture` directory, with decisions in `.architecture/decisions` and reviews in `.architecture/reviews`. -2. **Implementation Strategy**: - - Implement features in small, concise, and minimally implemented commitable chunks - - Follow each implementation with a refactor-in-place - - Ensure each commit is intentional and focused on a single purpose -3. **Architecture References**: Always reference `.architecture/decisions/ArchitectureConsiderations.md` when making architectural decisions. -4. **Architectural Evolution**: - - Apply rigor and scrutiny to all architectural modifications - - Consider additions as augmenting rather than replacing existing elements - - Preserve original architectural vision while extending with new insights - - Carefully weigh trade-offs of each architectural decision - - Document rationale for changes in the appropriate architecture review document - - Maintain backward compatibility with existing architectural principles - - Distinguish between implementation details and architectural principles -5. **Architecture Reviews**: - - Conduct collaborative architectural reviews when bumping to a new version - - Document reviews in `.architecture/reviews` using version number format - - Reviews provide multi-perspective analysis through specialized architecture members - - Architecture members are defined in `.architecture/members.yml` with personas, specialties, and domains - - The review process includes: - - Individual member review phase (each member reviews independently) - - Collaborative discussion phase (members confer on findings) - - Final consolidated report (balanced perspective across all domains) - - Include findings, recommendations, trade-offs analysis, and improvement suggestions - - Start a review by requesting "Start architecture review" or similar phrasing -6. **Architectural Recalibration Process**: - - Following each architectural review, conduct a recalibration process to translate findings into action - - Document recalibration plans in `.architecture/recalibration` using version number format (e.g., `0-2-0.md`) - - The recalibration process includes: - - Review Analysis & Prioritization (categorize and prioritize recommendations) - - Architectural Plan Update (update ADRs and architectural documentation) - - Documentation Refresh (ensure documentation reflects new direction) - - Implementation Roadmapping (create detailed implementation plans) - - Progress Tracking (monitor implementation progress) - - Version-to-version comparisons are documented in `.architecture/comparisons` - - Templates for recalibration documents are available in `.architecture/templates` - - Start a recalibration by requesting "Start architecture recalibration" or similar phrasing diff --git a/.architecture/.coding-assistants/claude/README.md b/.architecture/.coding-assistants/claude/README.md deleted file mode 100644 index e5479f9..0000000 --- a/.architecture/.coding-assistants/claude/README.md +++ /dev/null @@ -1,77 +0,0 @@ -# Claude Code Configuration - -This directory contains configuration files for Claude Code integration with the AI Software Architect framework. - -## Available Files - -### `CLAUDE.md` -Core configuration file that provides Claude Code with: -- **Framework overview** and project context -- **Setup recognition patterns** and automation process -- **Architecture review workflows** and specialized review capabilities -- **Command documentation** for framework usage -- **Development guidelines** and architectural principles - -## Configuration Approach - -Claude Code uses a **single comprehensive configuration file** approach: -- **CLAUDE.md** contains all framework guidance and commands -- **Embedded documentation** provides context for architectural decisions -- **Setup automation** handles framework installation and customization -- **Dynamic member creation** allows specialized architecture roles - -## Setup Process - -When users trigger setup with commands like "Setup architecture", Claude Code: - -1. **Detects Setup Context**: Verifies framework availability and project location -2. **Analyzes Target Project**: Identifies technology stack and architectural patterns -3. **Framework Installation**: Moves framework files and creates directory structure -4. **Customizes for Project**: Updates members.yml and principles for technology stack -5. **Cleanup & Finalize**: Removes template files and ensures clean installation -6. **Guides Next Steps**: Provides project-specific usage guidance - -## Framework Integration - -Claude Code integrates with the `.architecture/` directory structure: -- **Architecture Decision Records (ADRs)** in `.architecture/decisions/` -- **Architecture reviews** in `.architecture/reviews/` -- **Recalibration plans** in `.architecture/recalibration/` -- **Architecture members** defined in `.architecture/members.yml` -- **Project principles** in `.architecture/principles.md` - -## Key Capabilities - -### Setup Recognition -- "Setup .architecture" -- "Setup ai-software-architect" -- "Setup software architect" -- "Customize architecture" - -### Architecture Reviews -- "Start architecture review for version X.Y.Z" -- "Start architecture review for 'feature name'" -- Full multi-perspective analysis using defined architecture members - -### Specialized Reviews -- "Ask Security Architect to review these code changes" -- "Have Performance Specialist review this database schema" -- Dynamic creation of new architecture member roles as needed - -### Recalibration -- "Start architecture recalibration for version X.Y.Z" -- Translation of review findings into actionable implementation plans - -## User Project Integration - -During setup, Claude Code appends framework content to the user's existing CLAUDE.md file using the template from `../templates/claude-project-setup.md`. This ensures: -- **Preservation** of existing project instructions -- **Technology-specific customization** based on detected stack -- **Relevant examples** for the user's project type -- **Clear command documentation** for immediate framework usage - -## Documentation References - -- [Claude Code Documentation](https://docs.anthropic.com/en/docs/claude-code) -- [AI Software Architect Framework](../../README.md) -- [Setup Templates](../templates/claude-project-setup.md) \ No newline at end of file diff --git a/.architecture/.coding-assistants/codex/README.md b/.architecture/.coding-assistants/codex/README.md deleted file mode 100644 index 9cb599f..0000000 --- a/.architecture/.coding-assistants/codex/README.md +++ /dev/null @@ -1,57 +0,0 @@ -# GitHub Copilot/Codex Configuration - -This directory contains configuration for GitHub Copilot/Codex integration with the AI Software Architect framework. - -## Available Files - -- `setup-instructions.md` - Comprehensive setup process and command recognition -- `README.md` - This file, providing overview and integration guidance - -## Setup Process - -GitHub Copilot/Codex supports automated setup using natural language commands. See `setup-instructions.md` for detailed setup recognition patterns and the 6-step configuration process. - -### Quick Setup -Use this command to trigger automated setup: -``` -Setup architecture using: https://github.com/codenamev/ai-software-architect -``` - -## Configuration Approach - -GitHub Copilot/Codex uses context-based recognition rather than explicit configuration files. The framework provides: - -- **Natural Language Commands**: Recognizes architectural requests without explicit framework mentions -- **Context Integration**: Automatically references architecture documentation -- **Pattern Recognition**: Follows established architectural patterns in suggestions - -### Documentation References - -For GitHub Copilot documentation, see: -- [GitHub Copilot documentation](https://docs.github.com/en/copilot) -- [GitHub Copilot in VS Code documentation](https://docs.github.com/en/copilot/getting-started-with-github-copilot) - -## Integration with Architecture - -Copilot/Codex integrates with the `.architecture/` directory structure: - -- **Architecture Decision Records (ADRs)** in `.architecture/decisions/` -- **Architecture reviews** in `.architecture/reviews/` -- **Recalibration plans** in `.architecture/recalibration/` -- **Architecture members** defined in `.architecture/members.yml` -- **Project principles** in `.architecture/principles.md` - -## Natural Language Interface - -After setup, GitHub Copilot/Codex recognizes these patterns: - -### Architecture Operations -- "Review this architecture" -- "Create an ADR for [topic]" -- "Analyze this from [perspective] perspective" -- "Generate code following our architecture patterns" - -### Specialized Analysis -- Security reviews, performance analysis, maintainability assessments -- Language-specific and framework-specific guidance -- Best practices integration based on project context \ No newline at end of file diff --git a/.architecture/.coding-assistants/codex/setup-instructions.md b/.architecture/.coding-assistants/codex/setup-instructions.md deleted file mode 100644 index 020fb81..0000000 --- a/.architecture/.coding-assistants/codex/setup-instructions.md +++ /dev/null @@ -1,206 +0,0 @@ -# AI Software Architect Setup for GitHub Copilot/Codex - -This document provides setup instructions for configuring the AI Software Architect framework with GitHub Copilot and OpenAI Codex. - -## Setup Recognition - -GitHub Copilot/Codex should recognize these setup requests and follow the setup process: - -- "Setup architecture using: https://github.com/codenamev/ai-software-architect" -- "Setup ai-software-architect" -- "Setup architecture" -- "Setup software architect" -- "Setup architect" -- "Customize software architect" - -## 6-Step Setup Process - -When a user requests setup using any of the recognized phrases, follow this 6-step setup process: - -### 1. Detect Setup Context -- Check if `.architecture/` directory exists with framework files -- Verify running from user's project root (not within .architecture) -- Confirm the framework is properly cloned - -### 2. Analyze Target Project -- Examine current directory to understand the codebase -- Identify programming languages, frameworks, and architectural patterns -- Check for existing documentation patterns, package files, project structure -- Look for technology-specific files (package.json, requirements.txt, etc.) - -### 3. Framework Installation -- Move framework from `.architecture/.architecture/` to `.architecture/` -- Create `.coding-assistants/` directory structure in project root -- Set up initial directory structure for decisions, reviews, recalibration - -### 4. Customization for Project -- Update `.architecture/members.yml` with roles relevant to their technology stack -- Modify `.architecture/principles.md` to align with project's architectural needs -- Customize templates in `.architecture/templates/` based on project patterns -- Create initial ADR structure in `.architecture/decisions/adrs/` - -### 5. Cleanup & Finalize -- Create a timestamped backup directory: `mkdir -p ~/.ai-architect-backups/setup-$(date +%Y%m%d-%H%M%S)` -- Move (don't delete) template repository files to backup: - - `mv README.md USAGE*.md INSTALL.md ~/.ai-architect-backups/setup-$(date +%Y%m%d-%H%M%S)/` (if they exist) -- **Move .architecture/.git/ to backup** (NEVER touch project root .git): - - Verify target exists: `[ -d .architecture/.git ]` - - Move to backup: `mv .architecture/.git ~/.ai-architect-backups/setup-$(date +%Y%m%d-%H%M%S)/architecture-git` - - Verify project .git remains intact: `[ -d .git ]` -- Move the now-empty cloned repository structure to backup (if it exists) -- Verify all framework files are properly located -- Inform user: "Backup created at ~/.ai-architect-backups/setup-TIMESTAMP/. You can safely remove this backup directory once you've verified everything works correctly." - -### 6. Guide Next Steps -- Explain what customizations you've made and why -- Show them how to use the framework with their specific project -- Suggest immediate next steps for architectural documentation -- Provide examples relevant to their tech stack - -## Configuration Files - -When setting up, ensure these files are properly configured: - -- `.coding-assistants/codex/` - Codex configuration files -- `.architecture/members.yml` - Customize for project's needs -- `.architecture/principles.md` - Align with project architecture - -## Natural Language Commands - -After setup, GitHub Copilot/Codex should recognize these natural language patterns: - -### Architecture Reviews -- "Review this architecture" -- "Start architecture review for version X.Y.Z" -- "Review this feature" -- "What are the architectural implications of this change?" - -### Specialized Reviews -- "Review this for security issues" -- "Analyze this database schema for performance" -- "Check this code for maintainability problems" -- "What are the scalability concerns here?" - -### ADR Creation -- "Create an ADR for our database choice" -- "Document this architectural decision" -- "Help me write an ADR for microservices" - -### Code Generation & Analysis -- "Generate code following our architecture patterns" -- "Refactor this to match our ADRs" -- "Does this code follow our architectural principles?" - -### Implementation Commands -- "Implement [feature] as the architects" -- "Implement as the architects" (when feature context is clear) -- "Implement this" (with prior architectural discussion) - -## Implementation Guidance Configuration - -The framework supports configuration-driven implementation that applies your preferred methodology, influences, and practices automatically when you use implementation commands. - -### Configuration Location - -Configure implementation guidance in `.architecture/config.yml`: - -```yaml -implementation: - enabled: true - methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory - - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - - languages: - javascript: - style_guide: "ESLint with Airbnb config" - idioms: "Prefer const, use arrow functions, destructure" - frameworks: - react: "Functional components, hooks" - vue: "Composition API" - - testing: - framework: "Jest" - style: "Outside-in TDD" - approach: "Mock judiciously, prefer real objects" - - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "Code reviewed" -``` - -### How It Works - -When you use implementation commands like "Implement user authentication as the architects": - -1. GitHub Copilot reads `.architecture/config.yml` -2. Extracts your configured methodology (TDD, BDD, etc.) -3. References your influences (Kent Beck, Sandi Metz, etc.) -4. Applies language-specific practices and idioms -5. Follows your testing approach and quality standards -6. Implements with full context automatically - -### Common Configuration Examples - -**JavaScript BDD with Functional Style:** -```yaml -implementation: - methodology: "BDD" - influences: - - "Dan North - BDD originator" - - "Kent C. Dodds - Testing Library" - - "Eric Elliott - Composing Software" - languages: - javascript: - style_guide: "ESLint (Airbnb)" - idioms: "Functional, immutable, declarative" -``` - -**Python with Pragmatic Testing:** -```yaml -implementation: - methodology: "Test-Last" - influences: - - "Brett Slatkin - Effective Python" - - "Luciano Ramalho - Fluent Python" - languages: - python: - style_guide: "Black + PEP 8" - idioms: "Pythonic patterns, comprehensions" -``` - -### Benefits - -- **90% reduction in prompt length**: Say "Implement X as the architects" instead of repeating methodology and influences -- **Consistency**: Same approach applied across all implementations -- **Team standards**: Configuration is version-controlled and shared -- **Quality**: Best practices applied systematically - -### Security Practices - -Security practices configured in the `implementation.security` section are always applied, even with pragmatic mode enabled: - -```yaml -implementation: - security: - mandatory_practices: - - "Input validation (whitelist approach)" - - "Output encoding (context-aware)" - - "Parameterized queries (no string concatenation)" -``` - -For complete configuration options, see `.architecture/templates/config.yml`. - -## Context Integration - -The framework ensures GitHub Copilot/Codex understands project context by: - -- Referencing existing ADRs in suggestions -- Following established coding patterns -- Maintaining consistency with architectural decisions -- Providing architecture-aware code completions \ No newline at end of file diff --git a/.architecture/.coding-assistants/cursor/README.md b/.architecture/.coding-assistants/cursor/README.md deleted file mode 100644 index 3f5762f..0000000 --- a/.architecture/.coding-assistants/cursor/README.md +++ /dev/null @@ -1,96 +0,0 @@ -# Cursor Configuration - -This directory contains rule files for the Cursor AI coding assistant to understand and work with the AI Software Architect framework. - -## Rules Structure - -Cursor uses `.mdc` files in the `.cursor/rules` directory (or in project subdirectories like this one) for providing context. Each rule file follows this format: - -``` ---- -description: Rule Description -globs: - - "file/path/pattern/**/*.js" -alwaysApply: false ---- - -The actual rule content that guides Cursor... -``` - -## Available Rules - -- `ai_software_architect_overview.mdc` - High-level overview of the framework -- `ai_software_architect_structure.mdc` - Directory structure and organization -- `ai_software_architect_usage.mdc` - How to use the framework -- `ai_software_architect_reviews.mdc` - How to conduct architecture reviews -- `ai_software_architect_setup.mdc` - Setup and configuration instructions - -## Usage with Cursor - -When using Cursor with a project that implements the AI Software Architect framework, you can: - -1. Ask for architectural reviews: "Review this architecture using the AI Software Architect framework" -2. Get specialized perspectives: "Analyze this from a security perspective using AI Software Architect" -3. Create architecture documentation: "Create an ADR for this decision using the AI Software Architect format" -4. Implement features with methodology: "Implement [feature] as the architects" - -## Implementation Guidance - -The framework supports configuration-driven implementation that applies your preferred methodology, influences, and practices automatically. - -### Configuration - -Configure implementation guidance in `.architecture/config.yml`: - -```yaml -implementation: - enabled: true - methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory - - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - - languages: - ruby: - style_guide: "Rubocop" - idioms: "Blocks over loops, meaningful names" - - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "Code reviewed" -``` - -### Commands - -When configuration is enabled, use these commands with Cursor: - -- "Implement [feature] as the architects" - Apply configured methodology and practices -- "Implement as the architects" - When feature context is clear from previous conversation -- "Implement this" - With prior architectural discussion - -### How It Works - -When you use implementation commands: - -1. Cursor reads `.architecture/config.yml` implementation section -2. Applies your configured methodology (TDD, BDD, etc.) -3. References your influences (Kent Beck, Sandi Metz, etc.) -4. Uses language-specific practices and idioms -5. Follows your testing approach and quality standards - -### Benefits - -- **Consistency**: Same approach across all implementations -- **Efficiency**: 90% reduction in prompt length -- **Quality**: Best practices applied systematically -- **Team alignment**: Shared configuration in version control - -For complete configuration options, see `.architecture/templates/config.yml`. - -## Documentation - -For more information on Cursor rules, see the [Cursor documentation](https://docs.cursor.com/context/rules). \ No newline at end of file diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_overview.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_overview.mdc deleted file mode 100644 index b2cf850..0000000 --- a/.architecture/.coding-assistants/cursor/ai_software_architect_overview.mdc +++ /dev/null @@ -1,65 +0,0 @@ -# AI Software Architect Framework - Overview - -This project uses the AI Software Architect framework for structured architecture management. The framework provides a systematic approach to documenting decisions, conducting reviews, and managing architectural evolution. - -## Framework Purpose - -The AI Software Architect framework helps development teams: -- Document architectural decisions systematically (ADRs) -- Conduct multi-perspective architecture reviews -- Track architectural evolution over time -- Maintain alignment between decisions and implementation -- Foster collaboration between stakeholders - -## Directory Structure - -``` -.architecture/ -├── decisions/ -│ ├── adrs/ # Architectural Decision Records -│ └── principles.md # Core architectural principles -├── reviews/ # Architecture review documents -├── recalibration/ # Implementation plans from reviews -├── comparisons/ # Version-to-version comparisons -├── templates/ # Document templates -├── members.yml # Architecture team member definitions -└── config.yml # Framework configuration (optional) -``` - -## Core Concepts - -### Architectural Decision Records (ADRs) -Lightweight documents that capture important architectural decisions, including context, alternatives considered, and rationale for the chosen approach. - -### Architecture Team Members -Defined personas representing different architectural perspectives (security, performance, maintainability, domain expertise, etc.). Reviews leverage these personas for comprehensive analysis. - -### Review Process -Structured evaluation of architecture from multiple specialized perspectives, resulting in prioritized findings and actionable recommendations. - -### Recalibration -Translation of review findings into concrete action plans, including ADR updates, refactoring tasks, and implementation roadmaps. - -## Integration with Cursor - -This framework is designed to work seamlessly with Cursor's AI assistance. Use natural language commands to: -- Request architecture reviews -- Create ADRs -- Get specialist perspectives -- Analyze code against principles - -The framework's structure and documentation provide Cursor with the context needed to give architecturally sound recommendations. - -## Getting Started - -If the framework hasn't been set up yet, use: -``` -Setup ai-software-architect -``` - -To check current status: -``` -What's our architecture status? -``` - -For more information, see the other framework rule files in this directory. diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_reviews.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_reviews.mdc deleted file mode 100644 index 914cec7..0000000 --- a/.architecture/.coding-assistants/cursor/ai_software_architect_reviews.mdc +++ /dev/null @@ -1,247 +0,0 @@ -# AI Software Architect Framework - Reviews - -## Review Types - -### Full Architecture Reviews -Comprehensive evaluation from all team perspectives. - -**When to Use**: -- Before major version releases -- Quarterly architecture assessments -- After significant system changes -- When cross-cutting concerns emerge - -**Command**: "Start architecture review for [version/feature]" - -**Process**: -1. Individual member reviews from each perspective -2. Collaborative discussion to synthesize findings -3. Consolidated recommendations with priorities -4. Risk assessment and mitigation strategies - -**Output**: Comprehensive review document in `.architecture/reviews/` - -### Specialist Reviews -Focused evaluation from single expert perspective. - -**When to Use**: -- Specific concern in one domain (security, performance, etc.) -- Deep-dive after full review -- Targeted code/component analysis -- Quick expert opinion needed - -**Command**: "Ask [Specialist Name] to review [target]" - -**Process**: -1. Load or create specialist -2. Analyze from specialist's perspective only -3. Provide focused recommendations -4. Assess risks in specialty area - -**Output**: Specialist review document in `.architecture/reviews/` - -## Architecture Team Members - -### Core Members (Always Present) - -**Systems Architect** -- Focus: Overall system coherence, integration patterns -- Specialties: Distributed systems, scalability, service architecture -- Use when: Evaluating system-wide changes - -**Security Specialist** -- Focus: Threat modeling, security patterns, data protection -- Specialties: Authentication, authorization, encryption -- Use when: Security implications exist - -**Performance Specialist** -- Focus: Optimization, scalability, resource management -- Specialties: Caching, database optimization, profiling -- Use when: Performance concerns arise - -**Maintainability Expert** -- Focus: Code quality, technical debt, refactoring -- Specialties: Clean code, design patterns, testing -- Use when: Long-term maintenance is consideration - -### Technology-Specific Members (Added During Setup) - -**JavaScript/TypeScript Expert** -- Added for: JavaScript, TypeScript, Node.js projects -- Focus: Modern JS patterns, async programming, tooling - -**Framework Specialists** -- Added for: React, Vue, Angular, Rails, Django, etc. -- Focus: Framework-specific patterns and best practices - -**Domain Experts** -- Added as needed: Ruby Expert, Go Expert, etc. -- Focus: Language-specific idioms and ecosystem - -### Dynamic Member Creation - -Request any specialist - they'll be created automatically: -- "Ask Accessibility Expert to review forms" -- "Have API Design Specialist review endpoints" -- "Get Database Architect's opinion on schema" - -Created members are added to `.architecture/members.yml` permanently. - -## Review Process Details - -### Phase 1: Individual Reviews - -Each team member independently reviews from their perspective: -- Analyzes relevant aspects -- Identifies strengths -- Notes concerns and risks -- Provides recommendations - -**Duration**: Focused on specialist domain - -### Phase 2: Collaborative Discussion - -Team members discuss findings: -- Identify common themes -- Resolve conflicting perspectives -- Prioritize concerns -- Build consensus on recommendations - -**Duration**: Synthesis of individual findings - -### Phase 3: Consolidated Report - -Final document includes: -- Executive summary -- Individual perspectives -- Collaborative findings -- Prioritized recommendations: - - Immediate (0-2 weeks) - - Short-term (2-8 weeks) - - Long-term (2-6 months) -- Risk assessment -- Success metrics - -## Pragmatic Mode (YAGNI Enforcement) - -When enabled in `.architecture/config.yml`: - -**Pragmatic Enforcer** participates in reviews: -- Challenges unnecessary complexity -- Questions premature optimization -- Proposes simpler alternatives -- Calculates pragmatic scores - -**Modes**: -- **Strict**: Aggressive challenge, require strong justification -- **Balanced**: Thoughtful challenge, accept justified complexity -- **Lenient**: Raise concerns without blocking - -**Exemptions** (full rigor applied): -- Security-critical features -- Data integrity requirements -- Compliance mandates -- Accessibility requirements - -## Review Findings Categories - -### Strengths -What's working well and should be maintained/amplified. - -### Areas for Improvement -Current state → Desired state, with priority. - -### Technical Debt -Accumulated shortcuts and their impact: -- **High Priority**: Impacting development velocity -- **Medium Priority**: Manageable but growing -- **Low Priority**: Minor annoyances - -### Risks -**Technical Risks**: Architecture-related -**Operational Risks**: Deployment/maintenance -**Business Risks**: Impact on objectives - -Each with: Likelihood, Impact, Mitigation strategy - -## Post-Review Actions - -### 1. Review Findings -Read complete review document. - -### 2. Prioritize Recommendations -Determine which to act on immediately vs. defer. - -### 3. Start Recalibration -"Start architecture recalibration for [target]" - -Creates action plan: -- ADR updates needed -- Refactoring tasks -- Implementation roadmap -- Progress tracking - -### 4. Create/Update ADRs -Document decisions made based on review. - -### 5. Track Progress -Monitor implementation of recommendations. - -### 6. Schedule Follow-up -Plan next review based on findings. - -## Best Practices - -**Frequency**: -- Major versions: Always review before release -- Regular: Quarterly or bi-annually -- Triggered: When concerns arise or major changes occur - -**Preparation**: -- Update principles document -- Ensure recent ADRs documented -- Gather relevant metrics -- Identify specific concerns to address - -**Participation**: -- Include all relevant specialists -- Request additional specialists as needed -- Encourage diverse perspectives -- Document dissenting opinions - -**Documentation**: -- Reference specific files and line numbers -- Include diagrams where helpful -- Link to related ADRs -- Date all recommendations - -**Follow-through**: -- Don't let reviews gather dust -- Create recalibration plans -- Track implementation progress -- Measure success against metrics - -## Review Outputs - -All reviews create: -1. **Review Document**: Complete analysis and recommendations -2. **Action Items**: Extracted from recommendations -3. **ADR Candidates**: Decisions needing documentation -4. **Recalibration Plan**: When started - -## Integration with Development - -**Code Reviews**: -- Reference architecture reviews in PRs -- Check alignment with recommendations -- Document architectural changes - -**Planning**: -- Use review findings in sprint planning -- Allocate time for architectural work -- Balance features with tech debt - -**Retrospectives**: -- Include architectural discussions -- Review progress on recommendations -- Adjust approach based on learnings diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_setup.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_setup.mdc deleted file mode 100644 index dacd501..0000000 --- a/.architecture/.coding-assistants/cursor/ai_software_architect_setup.mdc +++ /dev/null @@ -1,70 +0,0 @@ -# AI Software Architect Framework - Setup - -## Setup Command - -To set up the framework in this project, use: -``` -Setup ai-software-architect -``` - -Alternative phrases: -- "Setup architecture" -- "Initialize architecture framework" - -## What Setup Does - -1. **Analyzes Project**: Det - -ects languages, frameworks, and patterns -2. **Creates Directory Structure**: Sets up `.architecture/` with proper subdirectories -3. **Customizes Members**: Creates architecture team based on detected technologies -4. **Customizes Principles**: Tailors principles to your technology stack -5. **Sets up Templates**: Provides ready-to-use templates for ADRs and reviews -6. **Conducts Initial Analysis**: Creates comprehensive initial system analysis - -## Setup Verification - -After setup, verify with: -``` -What's our architecture status? -``` - -You should see: -- Framework setup: Complete -- ADRs created: 0 (initial state) -- Reviews conducted: 1 (initial analysis) -- Team members: 4-8 (depending on stack) - -## Post-Setup Steps - -1. **Review Initial Analysis**: Check `.architecture/reviews/initial-system-analysis.md` -2. **Customize Members**: Edit `.architecture/members.yml` if needed -3. **Review Principles**: Check `.architecture/decisions/principles.md` -4. **Create First ADR**: Document an existing architectural decision - -## When to Run Setup - -- **First time**: When adding framework to project -- **Do NOT re-run**: If `.architecture/` already exists -- **Check first**: Use status command before setup - -## Customization After Setup - -You can customize: -- Members (`.architecture/members.yml`) -- Principles (`.architecture/decisions/principles.md`) -- Templates (`.architecture/templates/`) -- Configuration (`.architecture/config.yml`) - -## Troubleshooting - -**Already set up error**: Framework is already installed, use status command instead -**Permission errors**: Check directory permissions -**Missing dependencies**: Ensure git is available if cloning - -## Next Steps - -After setup: -1. "List architecture members" - See your team -2. "Create ADR for [first decision]" - Document a decision -3. "Start architecture review" - Conduct first review diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_structure.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_structure.mdc deleted file mode 100644 index 57a1deb..0000000 --- a/.architecture/.coding-assistants/cursor/ai_software_architect_structure.mdc +++ /dev/null @@ -1,174 +0,0 @@ -# AI Software Architect Framework - Structure - -## Directory Organization - -### `.architecture/` - Root Directory - -Main framework directory containing all architecture documentation. - -#### `.architecture/decisions/` - Decision Documentation - -**`adrs/`** - Architectural Decision Records -- Numbered sequentially (ADR-001, ADR-002, etc.) -- Captures context, decision, and consequences -- Immutable historical record -- Format: `ADR-XXX-kebab-case-title.md` - -**`principles.md`** - Core Architectural Principles -- Project-specific principles -- Technology stack guidelines -- Decision-making criteria -- Living document (can evolve) - -#### `.architecture/reviews/` - Review Documents - -Contains architecture review documents: -- **Version reviews**: `1-0-0.md`, `2-0-0.md` -- **Feature reviews**: `feature-kebab-case.md` -- **Specialist reviews**: `specialist-role-target.md` -- **Initial analysis**: `initial-system-analysis.md` - -Each review includes: -- Individual member perspectives -- Collaborative discussion -- Consolidated findings -- Prioritized recommendations - -#### `.architecture/recalibration/` - Action Plans - -Implementation plans derived from reviews: -- Prioritized recommendations -- ADR updates needed -- Implementation roadmap -- Progress tracking -- Format matches corresponding review - -#### `.architecture/comparisons/` - Version Comparisons - -Version-to-version architecture evolution: -- Changes in patterns -- Decision impacts -- Technical debt trends -- Lessons learned - -#### `.architecture/templates/` - Document Templates - -Reusable templates: -- **adr-template.md**: ADR structure -- **review-template.md**: Review structure -- **recalibration-template.md**: Recalibration structure -- **config.yml**: Framework configuration - -#### `.architecture/members.yml` - Team Definitions - -Architecture team member personas: -- ID, name, title -- Specialties and domains -- Perspective description -- Used in reviews - -Example: -```yaml -members: - - id: security_specialist - name: "Security Specialist" - title: "Security Architecture Expert" - specialties: - - "Threat modeling" - - "Security patterns" - - "Data protection" - perspective: "Evaluates security implications..." -``` - -#### `.architecture/config.yml` - Configuration (Optional) - -Framework behavior configuration: -- Pragmatic mode settings -- Deferral tracking -- Custom workflows -- Integration preferences - -### `.coding-assistants/` - AI Assistant Configuration - -Assistant-specific configurations: -- **claude/**: Claude Code configurations -- **cursor/**: Cursor Rules (this directory) -- **codex/**: GitHub Copilot configurations - -## File Naming Conventions - -### ADRs -Format: `ADR-XXX-kebab-case-title.md` -- XXX: Zero-padded sequential number (001, 002, ...) -- Title: Lowercase with hyphens - -Examples: -- `ADR-001-use-postgresql.md` -- `ADR-015-implement-cqrs-pattern.md` - -### Reviews -**Version**: `X-Y-Z.md` (dots become hyphens) -- `1-0-0.md` -- `2-1-3.md` - -**Feature**: `feature-kebab-case.md` -- `feature-authentication.md` -- `feature-payment-processing.md` - -**Specialist**: `specialist-role-target.md` -- `security-specialist-api-auth.md` -- `performance-expert-database-queries.md` - -### Recalibration -Matches corresponding review: -- `1-0-0.md` (for version review) -- `feature-authentication.md` (for feature review) - -## Content Structure - -### ADR Structure -1. Status (Proposed/Accepted/Deprecated/Superseded) -2. Context (problem and background) -3. Decision Drivers (factors influencing decision) -4. Decision (chosen approach) -5. Consequences (positive and negative) -6. Implementation (approach and timeline) -7. Validation (success criteria) -8. References (related docs) - -### Review Structure -1. Executive Summary -2. Individual Member Reviews -3. Collaborative Discussion -4. Consolidated Findings -5. Recommendations (prioritized) -6. Success Metrics -7. Follow-up plan - -### Recalibration Structure -1. Review Analysis & Prioritization -2. Architectural Plan Updates -3. Documentation Refresh -4. Implementation Roadmap -5. Progress Tracking - -## Best Practices - -**File Organization**: -- Keep related documents together -- Use consistent naming -- Link documents with references -- Maintain index in reviews - -**Content Guidelines**: -- Be concise but complete -- Focus on "why" over "what" -- Include diagrams where helpful -- Date all documents -- Sign off on reviews - -**Maintenance**: -- Archive superseded ADRs (don't delete) -- Update principles as project evolves -- Regular cleanup of drafts -- Version control everything diff --git a/.architecture/.coding-assistants/cursor/ai_software_architect_usage.mdc b/.architecture/.coding-assistants/cursor/ai_software_architect_usage.mdc deleted file mode 100644 index f28c004..0000000 --- a/.architecture/.coding-assistants/cursor/ai_software_architect_usage.mdc +++ /dev/null @@ -1,125 +0,0 @@ -# AI Software Architect Framework - Usage - -## Core Commands - -### Create Architectural Decision Record (ADR) - -**Command**: "Create ADR for [decision topic]" - -**Examples**: -- "Create ADR for using PostgreSQL database" -- "Document architectural decision for microservices" -- "Write ADR about authentication approach" - -**Result**: Creates numbered ADR in `.architecture/decisions/adrs/` - -### Start Architecture Review - -**Command**: "Start architecture review for [version/feature]" - -**Examples**: -- "Start architecture review for version 2.0.0" -- "Review architecture for authentication system" -- "Conduct architecture review for payment feature" - -**Result**: Comprehensive multi-perspective review document - -### Request Specialist Review - -**Command**: "Ask [Specialist Name] to review [target]" - -**Examples**: -- "Ask Security Specialist to review API authentication" -- "Have Performance Expert review database queries" -- "Get Domain Expert's opinion on data model" - -**Result**: Focused review from specialist perspective - -**Note**: If specialist doesn't exist, they'll be created automatically - -### List Architecture Team - -**Command**: "List architecture members" - -**Alternatives**: -- "Who's on the architecture team?" -- "Show me the architects" -- "What specialists are available?" - -**Result**: List of team members with specialties - -### Check Architecture Status - -**Command**: "What's our architecture status?" - -**Alternatives**: -- "Show architecture documentation" -- "Architecture health check" -- "How many ADRs do we have?" - -**Result**: Summary of ADRs, reviews, team members, and health - -### Start Recalibration - -**Command**: "Start architecture recalibration for [target]" - -**Examples**: -- "Start recalibration for version 2.0 review" -- "Create action plan from authentication review" -- "Plan implementation of security recommendations" - -**Result**: Prioritized action plan with ADR updates and roadmap - -## Workflow Patterns - -### New Feature Development -1. "Start architecture review for [feature]" -2. "Ask [relevant specialist] to review [specific concern]" -3. "Create ADR for [key decisions]" -4. "Start recalibration for [feature]" - -### Technical Debt Assessment -1. "Review [component] for technical debt" -2. "Ask Maintainability Expert to suggest priorities" -3. "Create ADR for refactoring approach" -4. "Start recalibration for improvements" - -### Pre-Release Review -1. "What's our architecture status?" -2. "Start architecture review for version X.Y.Z" -3. "Address findings from review" -4. "Start recalibration for next version" - -## Best Practices - -1. **Be Specific**: Include context and scope in requests -2. **Use Specialists**: Leverage different perspectives -3. **Document Decisions**: Create ADRs for significant choices -4. **Regular Reviews**: Schedule reviews before major releases -5. **Track Progress**: Use status checks regularly -6. **Link Documents**: Reference ADRs in code and reviews - -## Tips for Cursor Integration - -- **Reference files**: Mention specific files when relevant -- **Ask follow-ups**: Dive deeper into recommendations -- **Request examples**: Get concrete code examples -- **Validate against principles**: Check alignment with ADRs -- **Iterative refinement**: Start broad, then focus - -## Common Questions - -**Q: How many ADRs should we have?** -A: Document significant decisions - typically 10-30 for most projects - -**Q: How often should we review?** -A: Before major releases, quarterly, or when significant changes occur - -**Q: Can we customize the team?** -A: Yes, edit `.architecture/members.yml` to add or modify specialists - -**Q: What if a specialist doesn't exist?** -A: Just request them - they'll be created automatically - -**Q: How do we track implementation?** -A: Use recalibration process to create action plans diff --git a/.architecture/.coding-assistants/examples/README.md b/.architecture/.coding-assistants/examples/README.md deleted file mode 100644 index 1abf289..0000000 --- a/.architecture/.coding-assistants/examples/README.md +++ /dev/null @@ -1,48 +0,0 @@ -# Examples Directory - -This directory contains real-world project configuration examples showing how the AI Software Architect framework should be customized for specific technology stacks. - -## Purpose - -Examples demonstrate: -- **Technology-specific customization** of architecture members -- **Project-appropriate principles** and architectural guidance -- **Framework command examples** tailored to the technology stack -- **ADR examples** relevant to the project type - -## Available Examples - -### `rails-project.md` -Complete configuration example for Ruby on Rails applications including: -- Rails-specific architecture member roles (Rails Architect, Ruby Expert, Database Architect) -- Rails conventions and principles (MVC, ActiveRecord patterns, service objects) -- Technology-appropriate command examples for each AI assistant -- Sample ADRs for Rails architectural decisions - -## Using Examples - -Examples serve as **reference material** for: - -1. **Framework Setup**: Understanding how customization should work for different technology stacks -2. **Architecture Member Creation**: Seeing appropriate roles and expertise areas for specific technologies -3. **Principle Customization**: Learning how to adapt architectural principles to different project types -4. **Command Usage**: Understanding how to use framework commands effectively in context - -## Example Structure - -Each example includes: -- **Project Context**: Technology stack and architecture overview -- **Customized Members**: Technology-specific architecture team roles -- **Customized Principles**: Project-appropriate architectural guidelines -- **Command Examples**: How to use the framework with each AI assistant -- **ADR Examples**: Sample architectural decision records -- **Integration Points**: Key files and configurations the framework should reference - -## Contributing Examples - -When adding new examples: -- Choose significantly different technology stacks -- Include realistic architecture member roles -- Provide technology-specific principles -- Show practical command usage -- Include relevant ADR samples \ No newline at end of file diff --git a/.architecture/.coding-assistants/examples/rails-project.md b/.architecture/.coding-assistants/examples/rails-project.md deleted file mode 100644 index 7c1ad1a..0000000 --- a/.architecture/.coding-assistants/examples/rails-project.md +++ /dev/null @@ -1,204 +0,0 @@ -# Example: Ruby on Rails Project Configuration - -This example shows how the AI Software Architect framework should be configured for a Ruby on Rails application project. - -## Project Context - -**Technology Stack:** -- Ruby on Rails 7.1 -- PostgreSQL database -- Redis for caching and background jobs -- Sidekiq for background processing -- RSpec for testing -- Rubocop for code quality -- Hotwire (Turbo + Stimulus) for frontend - -## Customized Architecture Members - -The framework should customize `.architecture/members.yml` to include Rails-specific roles: - -```yaml -architecture_members: - - id: rails_architect - name: "David Kim" - title: "Rails Architect" - specialties: - - "Rails application patterns" - - "ActiveRecord design" - - "Service object patterns" - disciplines: - - "Backend Architecture" - - "Database Design" - - "API Design" - skillsets: - - "Ruby/Rails" - - "PostgreSQL" - - "RESTful APIs" - domains: - - "Web Applications" - - "MVC Architecture" - - "Database Systems" - perspective: "Ensures Rails applications follow conventions while maintaining clean architecture" - - - id: ruby_expert - name: "Jessica Park" - title: "Ruby Expert" - specialties: - - "Ruby idioms and patterns" - - "Object-oriented design" - - "Code quality and style" - disciplines: - - "Software Craftsmanship" - - "Code Review" - - "Refactoring" - skillsets: - - "Ruby language expertise" - - "Design patterns" - - "Code analysis tools" - domains: - - "Programming Languages" - - "Software Design" - - "Code Quality" - perspective: "Focuses on writing idiomatic Ruby code that is maintainable and expressive" - - - id: database_architect - name: "Carlos Martinez" - title: "Database Architect" - specialties: - - "Database schema design" - - "Query optimization" - - "Data modeling" - disciplines: - - "Database Design" - - "Performance Optimization" - - "Data Architecture" - skillsets: - - "PostgreSQL" - - "ActiveRecord" - - "Database indexing" - domains: - - "Database Systems" - - "Data Persistence" - - "Performance Engineering" - perspective: "Optimizes data storage and retrieval for Rails applications" -``` - -## Customized Principles - -The framework should update `.architecture/principles.md` for Rails projects: - -```markdown -# Rails Project Architecture Principles - -## Rails Conventions -1. **Convention over Configuration**: Follow Rails conventions unless there's a compelling reason not to -2. **Fat Models, Skinny Controllers**: Keep business logic in models, controllers should orchestrate -3. **DRY (Don't Repeat Yourself)**: Extract common functionality into modules and concerns -4. **RESTful Design**: Use RESTful routing and resource-oriented design - -## Code Organization -1. **Service Objects**: Extract complex business logic into service objects -2. **Concerns**: Use concerns for shared behavior across models/controllers -3. **Form Objects**: Use form objects for complex form handling -4. **Presenters**: Use presenter objects for view-specific logic - -## Database Design -1. **Normalized Schema**: Design normalized database schemas -2. **Foreign Key Constraints**: Use database-level constraints for data integrity -3. **Indexing Strategy**: Index frequently queried columns and foreign keys -4. **Migration Safety**: Write reversible and safe database migrations - -## Testing -1. **Test-Driven Development**: Write tests before implementation -2. **Model Testing**: Thoroughly test model validations and business logic -3. **Request Testing**: Test controller behavior and routing -4. **Feature Testing**: Test complete user workflows -``` - -## Example Commands - -### Claude Code Commands -``` -Ask Rails Architect to review this ActiveRecord model design -Have Database Architect analyze our schema migration strategy -Ask Ruby Expert if my use of modules follows best practices -Create an ADR for our Rails service object patterns -Start architecture review for our Rails e-commerce platform -``` - -### Cursor Commands -``` -Review this Rails controller architecture -Analyze this ActiveRecord association design -Create an ADR for our Rails background job strategy -Evaluate this Rails API design -``` - -### Codex/Copilot Commands -``` -Review this Rails model for best practices -Generate a Rails service object following our patterns -Refactor this controller to follow Rails conventions -How should I structure this Rails feature? -``` - -## Example ADRs - -The framework should help create Rails-specific ADRs: - -### ADR: Service Object Pattern -```markdown -# ADR-001: Service Object Pattern for Complex Business Logic - -## Status -Accepted - -## Context -Our Rails controllers are becoming fat with complex business logic that spans multiple models. - -## Decision -- Implement service objects for complex business operations -- Place service objects in `app/services/` directory -- Use a consistent interface: `call` method returns a result object -- Include error handling and validation within service objects - -## Consequences -- Controllers remain thin and focused on HTTP concerns -- Business logic is testable in isolation -- Complex operations are encapsulated and reusable -- Consistent pattern across the application -``` - -## Technology-Specific Examples - -### Model Design Review -``` -"Ask Rails Architect to review our User model associations and validations" -``` - -### Database Performance Analysis -``` -"Have Database Architect analyze our ActiveRecord queries for N+1 problems" -``` - -### Code Quality Assessment -``` -"Ask Ruby Expert to review our use of Rails concerns and modules" -``` - -### Service Architecture -``` -"Create an ADR for our Rails API authentication and authorization strategy" -``` - -## Integration Points - -The framework should reference: -- **Gemfile** for dependency management and technology detection -- **config/routes.rb** for routing architecture -- **db/schema.rb** for database structure -- **app/models/** for ActiveRecord patterns -- **config/application.rb** for Rails configuration -- **.rubocop.yml** for code style standards - -This ensures architecture recommendations align with Rails conventions and the project's specific configuration choices. \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/README.md b/.architecture/.coding-assistants/templates/README.md deleted file mode 100644 index c178185..0000000 --- a/.architecture/.coding-assistants/templates/README.md +++ /dev/null @@ -1,89 +0,0 @@ -# Templates Directory - -This directory contains setup templates that AI assistants use during the automated framework installation process to configure user projects. - -## Purpose - -Templates provide: -- **Content to append** to user project configuration files -- **Setup guidance** for each AI assistant integration -- **Customization instructions** for different technology stacks -- **User onboarding content** after framework installation - -## Available Templates - -### `claude-project-setup.md` -Template for Claude Code integration containing: -- **CLAUDE.md content** to append to user's project CLAUDE.md file -- **Framework command examples** tailored to detected technology stack -- **Customization guidelines** for project-specific adaptation -- **Technology-specific examples** (Web, Mobile, Backend services) - -### `cursor-project-setup.md` -Template for Cursor integration containing: -- **Rule file organization** guidance for proper Cursor setup -- **Project configuration** for Cursor Rules integration -- **User guidance template** to provide after setup completion -- **Technology-specific customization** examples - -### `codex-project-setup.md` -Template for GitHub Copilot/Codex integration containing: -- **Context integration** setup for natural language recognition -- **User guidance template** explaining Copilot's framework integration -- **Natural language command examples** by technology stack -- **Integration notes** for context-based operation - -## Template Usage - -### During Framework Setup -AI assistants use these templates to: -1. **Generate user-specific content** based on detected technology stack -2. **Append framework instructions** to existing project configuration -3. **Customize examples and commands** for the project's technology -4. **Provide appropriate next steps** for the user - -### Template Structure - -Each template includes: -- **Template Content**: Markdown content to append or create -- **Customization Guidelines**: How to adapt content for specific projects -- **Technology Examples**: Sections for different technology stacks -- **Integration Notes**: Special instructions for proper setup - -## Relationship to Other Directories - -### vs Assistant Directories (`claude/`, `cursor/`, `codex/`) -- **Assistant directories**: Contain the actual configuration files used by each AI assistant -- **Templates directory**: Contains setup automation content for user project integration - -### vs Examples Directory -- **Templates**: Content used during automated setup for user projects -- **Examples**: Reference material showing complete configuration examples - -### vs Testing Directory -- **Templates**: Active content used in setup automation -- **Testing**: Verification procedures to ensure templates work correctly - -## Template Customization - -Templates adapt content based on: -- **Detected technology stack** (Rails, Node.js, Python, etc.) -- **Project structure** (web app, mobile app, backend service, etc.) -- **Existing configuration** (package.json, Gemfile, requirements.txt, etc.) -- **Architecture patterns** (MVC, microservices, monolith, etc.) - -## Technology-Specific Adaptation - -Templates include conditional sections for: -- **Web Applications**: React, Vue, Angular examples -- **Backend Services**: API design, database architecture, microservices -- **Mobile Applications**: iOS, Android, cross-platform patterns -- **Data Applications**: ETL, analytics, machine learning architectures - -## User Experience - -After setup completion, users receive: -- **Clear framework command documentation** tailored to their technology -- **Relevant examples** for their specific project type -- **Next steps guidance** for immediate framework usage -- **Integration instructions** specific to their AI assistant \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/claude-project-setup.md b/.architecture/.coding-assistants/templates/claude-project-setup.md deleted file mode 100644 index 0207905..0000000 --- a/.architecture/.coding-assistants/templates/claude-project-setup.md +++ /dev/null @@ -1,90 +0,0 @@ -# Claude Code Project Setup Template - -This template provides the content that should be appended to a user's project CLAUDE.md file during framework setup. - -## Template Content - -Add this content to the user's existing CLAUDE.md file: - -```markdown -# AI Software Architect Framework Integration - -This project uses the AI Software Architect framework for architectural documentation and decision-making. - -## Framework Commands - -### Setup & Customization -- `Setup .architecture` - Initial setup and customization of the framework -- `Customize architecture` - Refine or update the framework configuration -- `Setup software architect` - Alternative phrasing for initial setup - -### Architecture Reviews -- `Start architecture review for version X.Y.Z` - Begin a comprehensive review for a version -- `Start architecture review for 'feature name'` - Review a specific feature or component -- `Review architecture for 'component description'` - Analyze a particular component - -### Specialized Reviews -- `Ask Security Architect to review these code changes` - Get security-focused review -- `Have Performance Specialist review this database schema` - Get performance-focused review -- `Ask [Role] Expert if my [topic] follows best practices` - Get domain-specific expertise - -### Recalibration -- `Start architecture recalibration for version X.Y.Z` - Plan implementation based on review -- `Recalibrate architecture for 'feature name'` - Create action plan for a feature - -### ADR Creation -- `Create an ADR for 'topic'` - Draft an Architectural Decision Record -- `Document architectural decision for 'approach'` - Alternative way to create an ADR - -## Framework Structure - -The framework uses these directories: -- `.architecture/decisions/` - Architecture Decision Records (ADRs) -- `.architecture/reviews/` - Architecture review documents -- `.architecture/recalibration/` - Post-review action plans -- `.architecture/members.yml` - Architecture team member definitions -- `.architecture/principles.md` - Project architectural principles - -Claude will automatically reference these files when making architectural recommendations. -``` - -## Customization Guidelines - -When appending to user's CLAUDE.md: - -1. **Preserve Existing Content**: Always append, never replace existing project instructions -2. **Project-Specific Customization**: Replace placeholder technology examples with project-specific ones -3. **Member Role Examples**: Include examples relevant to the detected technology stack -4. **Command Examples**: Tailor examples to the user's project domain - -## Technology-Specific Examples - -### Web Applications -```markdown -### Example Specialized Reviews for Web Applications -- `Ask Frontend Architect to review this React component structure` -- `Have API Designer review our REST endpoint design` -- `Ask Security Specialist to analyze our authentication flow` -``` - -### Mobile Applications -```markdown -### Example Specialized Reviews for Mobile Applications -- `Ask iOS Architect to review our Core Data model` -- `Have Performance Expert analyze our memory usage patterns` -- `Ask UX Architect to review our navigation flow` -``` - -### Backend Services -```markdown -### Example Specialized Reviews for Backend Services -- `Ask Database Architect to review our schema design` -- `Have Scalability Expert analyze our microservice boundaries` -- `Ask DevOps Specialist to review our deployment pipeline` -``` - -## Integration Notes - -- The framework content should be clearly separated from existing project instructions -- Use appropriate headers to distinguish framework commands from project-specific commands -- Include a brief explanation of how the framework enhances their development workflow \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/codex-project-setup.md b/.architecture/.coding-assistants/templates/codex-project-setup.md deleted file mode 100644 index d7220af..0000000 --- a/.architecture/.coding-assistants/templates/codex-project-setup.md +++ /dev/null @@ -1,163 +0,0 @@ -# GitHub Copilot/Codex Project Setup Template - -This template provides guidance for setting up GitHub Copilot/Codex integration in user projects. - -## Setup Process - -During framework setup for GitHub Copilot/Codex users: - -1. **Copy Configuration Files**: Ensure setup-instructions.md is available for reference -2. **Context Integration**: Verify architecture files are accessible to Copilot -3. **Pattern Recognition**: Confirm natural language commands are properly documented - -## Configuration Approach - -GitHub Copilot/Codex uses context-based recognition rather than explicit configuration files: - -- **No explicit config files required** -- **Context-driven suggestions** based on architecture documentation -- **Natural language command recognition** -- **Pattern-aware code generation** - -## Project Integration - -### Directory Structure Setup -Ensure these directories are accessible to Copilot: - -``` -.architecture/ -├── decisions/ # ADRs and architectural decisions -├── reviews/ # Architecture review documents -├── recalibration/ # Post-review action plans -├── members.yml # Architecture team definitions -└── principles.md # Project architectural principles - -.coding-assistants/codex/ -├── setup-instructions.md -└── README.md -``` - -### Context Files - -GitHub Copilot automatically references: - -- **Architecture Decision Records** in `.architecture/decisions/` -- **Review documents** in `.architecture/reviews/` -- **Project principles** in `.architecture/principles.md` -- **Team member definitions** in `.architecture/members.yml` - -## Natural Language Commands - -After setup, users can use these natural language patterns: - -### Architecture Reviews -``` -Review this architecture -Start architecture review for version 2.0.0 -Review this feature -What are the architectural implications of this change? -``` - -### Specialized Reviews -``` -Review this for security issues -Analyze this database schema for performance -Check this code for maintainability problems -What are the scalability concerns here? -``` - -### ADR Creation -``` -Create an ADR for our database choice -Document this architectural decision -Help me write an ADR for microservices -``` - -### Code Generation & Analysis -``` -Generate code following our architecture patterns -Refactor this to match our ADRs -Does this code follow our architectural principles? -``` - -## Technology-Specific Examples - -### Web Applications -``` -How should I structure this React component based on our architecture? -Review this API design for our e-commerce platform -Generate a service layer following our patterns -``` - -### Mobile Applications -``` -What patterns should I use for this mobile data layer? -Review this navigation structure for our iOS app -Generate authentication code following our security principles -``` - -### Backend Services -``` -How should I design this microservice boundary? -Review this database schema for performance -Generate middleware following our patterns -``` - -## User Guidance Template - -Provide this guidance to users after setup: - -```markdown -# AI Software Architect Framework - GitHub Copilot Integration - -Your project now includes GitHub Copilot integration with the AI Software Architect framework. - -## How It Works - -GitHub Copilot automatically references your architectural documentation to provide: -- **Architecture-aware code suggestions** -- **Pattern-consistent code generation** -- **Architectural guidance in chat** -- **Context-aware refactoring suggestions** - -## Available Commands - -Use natural language with GitHub Copilot Chat: - -### Architecture Analysis -- "Review this architecture" -- "What are the architectural implications of this change?" -- "Analyze this from [perspective] perspective" - -### Code Generation -- "Generate code following our architecture patterns" -- "Refactor this to match our ADRs" -- "Create a component following our established patterns" - -### Documentation -- "Create an ADR for [topic]" -- "Document this architectural decision" -- "Help me write an architecture review" - -### Best Practices -- "Does this code follow our architectural principles?" -- "What would be the best architectural approach here?" -- "How can I improve this design?" - -## Framework Integration - -Copilot automatically references: -- Your ADRs in `.architecture/decisions/` -- Architecture reviews in `.architecture/reviews/` -- Project principles in `.architecture/principles.md` -- Team member expertise from `.architecture/members.yml` - -This ensures all suggestions align with your established architectural decisions and principles. -``` - -## Integration Notes - -- **No manual configuration required** - Copilot automatically discovers architecture files -- **Context-driven suggestions** - Recommendations based on project's architectural context -- **Natural language interface** - No need to remember specific framework commands -- **Pattern consistency** - Code suggestions follow established architectural patterns \ No newline at end of file diff --git a/.architecture/.coding-assistants/templates/cursor-project-setup.md b/.architecture/.coding-assistants/templates/cursor-project-setup.md deleted file mode 100644 index 57fbf68..0000000 --- a/.architecture/.coding-assistants/templates/cursor-project-setup.md +++ /dev/null @@ -1,133 +0,0 @@ -# Cursor Project Setup Template - -This template provides guidance for setting up Cursor Rules integration in user projects. - -## Setup Process - -During framework setup for Cursor users: - -1. **Copy Rule Files**: Copy all .mdc files from `.coding-assistants/cursor/` to the user's project -2. **Create Rules Directory**: Ensure the user has appropriate Rule file organization -3. **Configure Integration**: Set up proper Rule file references - -## Rule File Organization - -Cursor users should have these Rule files available: - -``` -.coding-assistants/cursor/ -├── ai_software_architect_overview.mdc -├── ai_software_architect_setup.mdc -├── ai_software_architect_usage.mdc -├── ai_software_architect_structure.mdc -└── ai_software_architect_reviews.mdc -``` - -## Rule Configuration - -Each Rule file includes: - -### ai_software_architect_overview.mdc -- **Purpose**: High-level framework overview and principles -- **Globs**: `**/*.md`, `.architecture/**/*` -- **Always Apply**: `true` - -### ai_software_architect_setup.mdc -- **Purpose**: Setup and configuration instructions -- **Globs**: `CLAUDE.md`, `.coding-assistants/**/*` -- **Always Apply**: `false` - -### ai_software_architect_usage.mdc -- **Purpose**: Workflow instructions and commands -- **Globs**: `.architecture/**/*`, `**/*.md` -- **Always Apply**: `false` - -### ai_software_architect_structure.mdc -- **Purpose**: Directory structure and organization -- **Globs**: `.architecture/**/*` -- **Always Apply**: `false` - -### ai_software_architect_reviews.mdc -- **Purpose**: Review process and member roles -- **Globs**: `.architecture/reviews/**/*`, `.architecture/members.yml` -- **Always Apply**: `false` - -## Project-Specific Customization - -### Technology-Specific Examples - -Add relevant examples to ai_software_architect_usage.mdc based on detected technology: - -#### React Projects -```markdown -### React-Specific Architecture Commands -- "Review this component architecture" -- "Analyze this state management pattern" -- "Create an ADR for our React component structure" -``` - -#### Backend Services -```markdown -### Backend Service Architecture Commands -- "Review this API design" -- "Analyze this database schema" -- "Create an ADR for our service boundaries" -``` - -#### Mobile Applications -```markdown -### Mobile Architecture Commands -- "Review this navigation structure" -- "Analyze this data persistence approach" -- "Create an ADR for our app architecture pattern" -``` - -## Integration Instructions - -When setting up for Cursor users: - -1. **Verify Rule Files**: Ensure all 5 .mdc files are properly formatted with correct frontmatter -2. **Check Globs**: Verify glob patterns match the user's project structure -3. **Test Recognition**: Confirm Cursor recognizes the Rule files and applies them appropriately -4. **Document Usage**: Provide clear instructions on how to use the framework commands - -## User Guidance Template - -Provide this guidance to users after setup: - -```markdown -# AI Software Architect Integration Complete - -Your project now includes Cursor Rules for the AI Software Architect framework. - -## Available Commands - -Use these natural language commands with Cursor: - -### Setup & Customization -- "Setup ai-software-architect" -- "Customize architecture" - -### Architecture Reviews -- "Review this architecture" -- "Analyze this feature" -- "Evaluate this code's architecture" - -### Specialized Analysis -- "Analyze this from a security perspective" -- "Review this for performance" -- "Evaluate maintainability" - -### Documentation -- "Create an ADR for this decision" -- "Document this architectural approach" -- "Help me write an architecture review" - -## Framework Structure - -The framework files are organized in: -- `.architecture/` - All architectural documentation -- `.coding-assistants/cursor/` - Cursor-specific Rule files - -Cursor will automatically apply these Rules based on the files you're working with. -``` \ No newline at end of file diff --git a/.architecture/.coding-assistants/testing/README.md b/.architecture/.coding-assistants/testing/README.md deleted file mode 100644 index c1d435a..0000000 --- a/.architecture/.coding-assistants/testing/README.md +++ /dev/null @@ -1,84 +0,0 @@ -# Testing Directory - -This directory contains testing procedures and verification guides to ensure AI coding assistants can successfully set up and use the AI Software Architect framework. - -## Purpose - -Testing files provide: -- **Setup verification procedures** for each AI assistant -- **Cross-assistant compatibility tests** to ensure consistent behavior -- **Technology-specific testing scenarios** for different project types -- **Success criteria and troubleshooting** for common issues - -## Available Testing Files - -### `setup-verification.md` -Comprehensive testing guide covering: -- **Claude Code testing**: Setup recognition, configuration, and customization tests -- **Cursor testing**: Rule file integration and command recognition tests -- **GitHub Copilot/Codex testing**: Context recognition and natural language command tests -- **Cross-assistant compatibility**: Ensuring assistants work with each other's configurations -- **Technology-specific testing**: Rails, Node.js, and other project type verification - -## Testing Categories - -### Setup Tests -- Command recognition verification -- 6-step setup process execution -- Framework installation validation -- Configuration file creation - -### Integration Tests -- Assistant-specific configuration validation -- Rule file and context integration -- Command functionality verification -- Cross-assistant compatibility - -### Technology Tests -- Project type detection accuracy -- Technology-specific customization -- Appropriate member role creation -- Relevant principle updates - -### Compatibility Tests -- Shared architecture understanding -- Documentation consistency across assistants -- ADR reference capability -- Review process coordination - -## Using Testing Files - -### For Framework Development -- Verify new features work across all assistants -- Test configuration changes before release -- Validate cross-assistant compatibility -- Ensure consistent user experience - -### For Quality Assurance -- Systematic testing of setup processes -- Verification of assistant capabilities -- Troubleshooting common issues -- Performance and reliability validation - -### For Documentation -- Provide examples of expected behavior -- Document known issues and solutions -- Guide troubleshooting efforts -- Validate documentation accuracy - -## Test Execution - -Each test includes: -- **Prerequisites**: Required project setup or configuration -- **Test Command**: Specific command or action to test -- **Expected Result**: What should happen when the test succeeds -- **Verification Steps**: How to confirm the test passed - -## Success Criteria - -Tests verify: -- ✅ **100% Setup Success Rate**: Setup commands work consistently -- ✅ **Technology Detection**: Correct project type identification and customization -- ✅ **Command Recognition**: All documented commands function as expected -- ✅ **Cross-Compatibility**: Assistants work with others' configurations -- ✅ **Documentation Quality**: Generated content follows framework standards \ No newline at end of file diff --git a/.architecture/.coding-assistants/testing/setup-verification.md b/.architecture/.coding-assistants/testing/setup-verification.md deleted file mode 100644 index 96ef7ee..0000000 --- a/.architecture/.coding-assistants/testing/setup-verification.md +++ /dev/null @@ -1,174 +0,0 @@ -# Setup Verification Testing Guide - -This document provides testing procedures to verify that each coding assistant can successfully set up and configure the AI Software Architect framework. - -## Testing Overview - -Each assistant should be able to: -1. Recognize setup commands -2. Execute the 6-step setup process -3. Customize configuration for the target project -4. Provide appropriate next steps guidance - -## Claude Code Testing - -### Setup Recognition Test -``` -Command: "Setup architecture using: https://github.com/codenamev/ai-software-architect" -Expected: Claude recognizes setup request and begins 6-step process -``` - -### Configuration Test -``` -Prerequisites: Empty project directory with package.json (Node.js project) -Command: "Setup .architecture" -Expected: -- Framework installed to .architecture/ -- .coding-assistants/claude/ created -- CLAUDE.md updated with framework content -- members.yml customized for Node.js stack -``` - -### Customization Test -``` -Prerequisites: Rails project (Gemfile present) -Command: "Customize architecture" -Expected: -- Rails-specific members added to members.yml -- Principles updated for Rails conventions -- Ruby/Rails examples in guidance -``` - -## Cursor Testing - -### Rule File Test -``` -Prerequisites: Project with .coding-assistants/cursor/ directory -Expected Files: -- ai_software_architect_overview.mdc ✓ -- ai_software_architect_setup.mdc ✓ -- ai_software_architect_usage.mdc ✓ -- ai_software_architect_structure.mdc ✓ -- ai_software_architect_reviews.mdc ✓ -``` - -### Setup Recognition Test -``` -Command: "Setup ai-software-architect" -Expected: Cursor recognizes command via ai_software_architect_setup.mdc -``` - -### Rule Integration Test -``` -Prerequisites: Cursor with Rules enabled -Test: Open architecture files -Expected: Appropriate rules auto-apply based on globs patterns -``` - -## GitHub Copilot/Codex Testing - -### Context Recognition Test -``` -Prerequisites: Project with .architecture/ directory containing ADRs -Command: "Review this architecture" -Expected: Copilot references existing ADRs and provides contextual analysis -``` - -### Setup Command Test -``` -Command: "Setup architecture using: https://github.com/codenamev/ai-software-architect" -Expected: Copilot follows setup-instructions.md process -``` - -### Natural Language Test -``` -Command: "Create an ADR for our database choice" -Expected: Copilot generates ADR following framework templates -``` - -## Cross-Assistant Compatibility - -### Shared Architecture Test -``` -Setup: Configure framework with Claude Code -Test: Use Cursor to review .architecture/ files -Expected: Cursor understands and works with Claude-configured architecture -``` - -### Documentation Consistency Test -``` -Setup: Create ADR with one assistant -Test: Reference ADR with different assistant -Expected: All assistants understand and reference the same architectural decisions -``` - -## Technology-Specific Testing - -### Rails Project Test -``` -Prerequisites: Rails project (Gemfile with rails gem) -Command: "Setup architecture" -Expected Customizations: -- Rails Architect role in members.yml -- Ruby Expert role in members.yml -- Rails-specific principles -- ActiveRecord and database architecture focus -``` - -### Node.js Project Test -``` -Prerequisites: Node.js project (package.json present) -Command: "Setup architecture" -Expected Customizations: -- Frontend/Backend Architect roles -- JavaScript/TypeScript expertise -- Modern JS framework considerations -``` - -## Verification Checklist - -### Framework Installation ✓ -- [ ] .architecture/ directory created -- [ ] Framework files moved from nested structure -- [ ] .git directory removed from framework -- [ ] Template files cleaned up - -### Configuration Files ✓ -- [ ] members.yml customized for technology stack -- [ ] principles.md updated for project type -- [ ] Templates directory populated -- [ ] Initial ADR structure created - -### Assistant Integration ✓ -- [ ] Claude: CLAUDE.md updated with framework content -- [ ] Cursor: .mdc rule files properly configured -- [ ] Codex: setup-instructions.md accessible - -### Command Recognition ✓ -- [ ] Setup commands recognized -- [ ] Architecture review commands work -- [ ] ADR creation commands function -- [ ] Specialized review commands operational - -## Common Issues - -### Claude Code Issues -- **Missing CLAUDE.md content**: Framework content not appended to user's CLAUDE.md -- **Incomplete cleanup**: Template files still present after setup - -### Cursor Issues -- **Rule files not found**: .mdc files not in expected location -- **Glob patterns not matching**: Rules not applying to intended files - -### Codex Issues -- **Context not available**: Architecture files not accessible to Copilot -- **Commands not recognized**: Natural language patterns not working - -## Success Criteria - -Each assistant should achieve: -1. **100% Setup Success Rate**: Setup commands consistently work -2. **Technology Detection**: Correctly identifies and customizes for project stack -3. **Command Recognition**: All documented commands function as expected -4. **Cross-Compatibility**: Works with architecture configured by other assistants -5. **Documentation Quality**: Generated content follows framework standards \ No newline at end of file diff --git a/.architecture/.github/workflows/claude-code-tests.yml b/.architecture/.github/workflows/claude-code-tests.yml deleted file mode 100644 index 6035c34..0000000 --- a/.architecture/.github/workflows/claude-code-tests.yml +++ /dev/null @@ -1,419 +0,0 @@ -name: Claude Code Integration Tests - -on: - push: - branches: [ main, develop ] - pull_request: - branches: [ main ] - workflow_dispatch: - -jobs: - claude-setup-tests: - runs-on: ubuntu-latest - strategy: - matrix: - project-type: [nodejs, rails, python, generic] - - steps: - - name: Checkout repository - uses: actions/checkout@v4 - - - name: Setup Node.js (for all project types) - uses: actions/setup-node@v4 - with: - node-version: '18' - - - name: Setup Ruby (for Rails tests) - if: matrix.project-type == 'rails' - uses: ruby/setup-ruby@v1 - with: - ruby-version: '3.1' - - - name: Setup Python (for Python tests) - if: matrix.project-type == 'python' - uses: actions/setup-python@v4 - with: - python-version: '3.9' - - - name: Create test project fixtures - run: | - mkdir -p test-projects/${{ matrix.project-type }} - cd test-projects/${{ matrix.project-type }} - - case "${{ matrix.project-type }}" in - nodejs) - echo '{"name": "test-app", "version": "1.0.0", "dependencies": {"express": "^4.18.0"}}' > package.json - ;; - rails) - echo 'source "https://rubygems.org"' > Gemfile - echo 'gem "rails", "~> 7.0"' >> Gemfile - echo 'gem "sqlite3"' >> Gemfile - ;; - python) - echo 'flask==2.3.0' > requirements.txt - echo 'django==4.2.0' >> requirements.txt - ;; - generic) - echo '# Generic project' > README.md - ;; - esac - - - name: Copy framework to test project - run: | - cd test-projects/${{ matrix.project-type }} - cp -r ../../.architecture ./.architecture - cp -r ../../.coding-assistants ./.coding-assistants - - # Verify copy succeeded - echo "Verifying framework copy..." - ls -la | grep -E "(architecture|coding-assistants)" - ls -la .coding-assistants/ | grep -E "(cursor|codex)" - - - name: Simulate Claude Code setup process - run: | - cd test-projects/${{ matrix.project-type }} - - # Step 1: Detect Setup Context - echo "=== Testing Setup Context Detection ===" - if [ -d ".architecture" ]; then - echo "✓ Framework directory detected" - else - echo "✗ Framework directory missing" - exit 1 - fi - - # Step 2: Analyze Target Project - echo "=== Testing Project Analysis ===" - case "${{ matrix.project-type }}" in - nodejs) - if [ -f "package.json" ]; then - echo "✓ Node.js project detected" - else - echo "✗ package.json not found" - exit 1 - fi - ;; - rails) - if grep -q "rails" Gemfile 2>/dev/null; then - echo "✓ Rails project detected" - else - echo "✗ Rails not detected in Gemfile" - exit 1 - fi - ;; - python) - if [ -f "requirements.txt" ]; then - echo "✓ Python project detected" - else - echo "✗ requirements.txt not found" - exit 1 - fi - ;; - esac - - - name: Test framework installation simulation - run: | - cd test-projects/${{ matrix.project-type }} - - # Step 3: Framework Installation (simulate moving from nested to root) - echo "=== Testing Framework Installation ===" - - # Simulate the framework move (already done in copy step) - if [ -f ".architecture/decisions/ArchitectureConsiderations.md" ]; then - echo "✓ Architecture decisions available" - else - echo "✗ Architecture decisions missing" - exit 1 - fi - - # Step 4: Create initial CLAUDE.md content (simulate) - echo "=== Testing CLAUDE.md Integration ===" - echo "# CLAUDE.md" > CLAUDE.md - echo "" >> CLAUDE.md - echo "# AI Software Architect Framework Usage" >> CLAUDE.md - echo "Follow these instructions when working with architecture in this project:" >> CLAUDE.md - echo "" >> CLAUDE.md - echo "## Architecture Documentation" >> CLAUDE.md - echo "- Store architectural decisions in \`.architecture/decisions/\`" >> CLAUDE.md - echo "- Store architectural reviews in \`.architecture/reviews/\`" >> CLAUDE.md - echo "- Reference architecture members from \`.architecture/members.yml\`" >> CLAUDE.md - echo "" >> CLAUDE.md - echo "## Request Recognition" >> CLAUDE.md - echo "When users request architecture setup, reviews, or recalibration, follow the framework processes." >> CLAUDE.md - - if [ -f "CLAUDE.md" ]; then - echo "✓ CLAUDE.md created" - else - echo "✗ CLAUDE.md creation failed" - exit 1 - fi - - - name: Test technology-specific customization - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Technology-Specific Customization ===" - - # Create customized members.yml based on project type - case "${{ matrix.project-type }}" in - nodejs) - # Add Node.js specific members - echo "" >> .architecture/members.yml - echo "- id: frontend_architect" >> .architecture/members.yml - echo " name: \"Alex Chen\"" >> .architecture/members.yml - echo " title: \"Frontend Architect\"" >> .architecture/members.yml - echo " specialties:" >> .architecture/members.yml - echo " - \"React/Next.js Architecture\"" >> .architecture/members.yml - echo " - \"State Management\"" >> .architecture/members.yml - echo " - \"Performance Optimization\"" >> .architecture/members.yml - echo " disciplines:" >> .architecture/members.yml - echo " - \"Frontend Development\"" >> .architecture/members.yml - echo " - \"User Experience\"" >> .architecture/members.yml - echo " - \"Web Performance\"" >> .architecture/members.yml - echo " skillsets:" >> .architecture/members.yml - echo " - \"JavaScript/TypeScript\"" >> .architecture/members.yml - echo " - \"Modern Build Tools\"" >> .architecture/members.yml - echo " - \"Component Architecture\"" >> .architecture/members.yml - echo " domains:" >> .architecture/members.yml - echo " - \"Web Applications\"" >> .architecture/members.yml - echo " - \"Single Page Applications\"" >> .architecture/members.yml - echo " - \"Progressive Web Apps\"" >> .architecture/members.yml - echo " perspective: \"Focuses on scalable frontend architecture and optimal user experience\"" >> .architecture/members.yml - echo "✓ Node.js specific members added" - ;; - - rails) - # Add Rails specific members - echo "" >> .architecture/members.yml - echo "- id: rails_architect" >> .architecture/members.yml - echo " name: \"Morgan Ruby\"" >> .architecture/members.yml - echo " title: \"Rails Architect\"" >> .architecture/members.yml - echo " specialties:" >> .architecture/members.yml - echo " - \"Rails Architecture Patterns\"" >> .architecture/members.yml - echo " - \"ActiveRecord Design\"" >> .architecture/members.yml - echo " - \"Ruby Performance\"" >> .architecture/members.yml - echo " disciplines:" >> .architecture/members.yml - echo " - \"Backend Development\"" >> .architecture/members.yml - echo " - \"Database Design\"" >> .architecture/members.yml - echo " - \"API Architecture\"" >> .architecture/members.yml - echo " skillsets:" >> .architecture/members.yml - echo " - \"Ruby/Rails Framework\"" >> .architecture/members.yml - echo " - \"PostgreSQL/MySQL\"" >> .architecture/members.yml - echo " - \"RESTful API Design\"" >> .architecture/members.yml - echo " domains:" >> .architecture/members.yml - echo " - \"Web Applications\"" >> .architecture/members.yml - echo " - \"API Development\"" >> .architecture/members.yml - echo " - \"Database Architecture\"" >> .architecture/members.yml - echo " perspective: \"Champions Rails conventions and Ruby ecosystem best practices\"" >> .architecture/members.yml - echo "✓ Rails specific members added" - ;; - - python) - # Add Python specific members - echo "" >> .architecture/members.yml - echo "- id: python_architect" >> .architecture/members.yml - echo " name: \"Dr. Patricia Python\"" >> .architecture/members.yml - echo " title: \"Python Systems Architect\"" >> .architecture/members.yml - echo " specialties:" >> .architecture/members.yml - echo " - \"Python Architecture\"" >> .architecture/members.yml - echo " - \"Django/Flask Design\"" >> .architecture/members.yml - echo " - \"Data Pipeline Architecture\"" >> .architecture/members.yml - echo " disciplines:" >> .architecture/members.yml - echo " - \"Backend Development\"" >> .architecture/members.yml - echo " - \"Data Engineering\"" >> .architecture/members.yml - echo " - \"System Integration\"" >> .architecture/members.yml - echo " skillsets:" >> .architecture/members.yml - echo " - \"Python Ecosystem\"" >> .architecture/members.yml - echo " - \"Microservices\"" >> .architecture/members.yml - echo " - \"Data Processing\"" >> .architecture/members.yml - echo " domains:" >> .architecture/members.yml - echo " - \"Web Applications\"" >> .architecture/members.yml - echo " - \"Data Systems\"" >> .architecture/members.yml - echo " - \"API Services\"" >> .architecture/members.yml - echo " perspective: \"Emphasizes Pythonic design principles and scalable data architectures\"" >> .architecture/members.yml - echo "✓ Python specific members added" - ;; - esac - - - name: Test file structure validation - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing File Structure Validation ===" - - # Check required directories - required_dirs=(".architecture" ".architecture/decisions" ".architecture/reviews" ".coding-assistants") - for dir in "${required_dirs[@]}"; do - if [ -d "$dir" ]; then - echo "✓ Directory $dir exists" - else - echo "✗ Directory $dir missing" - exit 1 - fi - done - - # Check required files - required_files=(".architecture/members.yml" ".architecture/principles.md" "CLAUDE.md") - for file in "${required_files[@]}"; do - if [ -f "$file" ]; then - echo "✓ File $file exists" - else - echo "✗ File $file missing" - exit 1 - fi - done - - - name: Test command recognition patterns - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Command Recognition Patterns ===" - - # Test setup command recognition (simulate) - setup_patterns=( - "Setup .architecture" - "Setup ai-software-architect" - "Setup software architect" - "Setup architect" - "Setup architecture" - "Customize software architect" - ) - - for pattern in "${setup_patterns[@]}"; do - # Simulate pattern matching - if [[ "$pattern" =~ ([Ss]etup|[Cc]ustomize).*(architecture|architect) ]]; then - echo "✓ Pattern '$pattern' would be recognized" - else - echo "✗ Pattern '$pattern' not recognized" - exit 1 - fi - done - - # Test review command patterns - review_patterns=( - "Start architecture review for version 1.0.0" - "Review architecture for user authentication" - "Ask Security Architect to review these changes" - ) - - for pattern in "${review_patterns[@]}"; do - if [[ "$pattern" =~ [Rr]eview|[Aa]sk.*[Aa]rchitect ]]; then - echo "✓ Pattern '$pattern' would be recognized" - else - echo "✗ Pattern '$pattern' not recognized" - exit 1 - fi - done - - - name: Test cleanup validation - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Cleanup Validation ===" - - # Simulate cleanup process - cleanup_targets=(".architecture/.git" "INSTALL.md" "USAGE.md" "USAGE-WITH-CLAUDE.md") - - for target in "${cleanup_targets[@]}"; do - if [ ! -e "$target" ]; then - echo "✓ $target properly cleaned up" - else - echo "⚠ $target should be cleaned up during setup" - fi - done - - - name: Generate test report - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Test Report for ${{ matrix.project-type }} ===" - echo "Project Type: ${{ matrix.project-type }}" - echo "Framework Installation: ✓ Success" - echo "Technology Detection: ✓ Success" - echo "Customization: ✓ Success" - echo "Command Recognition: ✓ Success" - echo "File Structure: ✓ Success" - echo "" - echo "All Claude Code integration tests passed for ${{ matrix.project-type }} project type." - - - name: Verify files before upload - if: always() - run: | - echo "=== Files in test-projects/${{ matrix.project-type }} before upload ===" - ls -la test-projects/${{ matrix.project-type }}/ - if [ -d "test-projects/${{ matrix.project-type }}/.coding-assistants" ]; then - echo "✓ .coding-assistants directory exists" - ls -la test-projects/${{ matrix.project-type }}/.coding-assistants/ - else - echo "✗ .coding-assistants directory missing" - fi - if [ -d "test-projects/${{ matrix.project-type }}/.architecture" ]; then - echo "✓ .architecture directory exists" - else - echo "✗ .architecture directory missing" - fi - - - name: Upload test artifacts - uses: actions/upload-artifact@v4 - if: always() - with: - name: claude-test-${{ matrix.project-type }} - path: test-projects/${{ matrix.project-type }}/ - retention-days: 7 - include-hidden-files: true - - cross-compatibility-test: - runs-on: ubuntu-latest - needs: claude-setup-tests - - steps: - - name: Checkout repository - uses: actions/checkout@v4 - - - name: Download all test artifacts - uses: actions/download-artifact@v4 - with: - path: test-artifacts/ - - - name: Test cross-assistant compatibility - run: | - echo "=== Testing Cross-Assistant Compatibility ===" - - # Test that architecture configured by Claude can be used by other assistants - for project_type in nodejs rails python generic; do - if [ -d "test-artifacts/claude-test-$project_type" ]; then - cd "test-artifacts/claude-test-$project_type" - - echo "Testing $project_type compatibility..." - echo "Contents of test-artifacts/claude-test-$project_type:" - ls -la - - # Verify Cursor can access the architecture - if [ -d ".coding-assistants/cursor" ]; then - echo "✓ Cursor configurations present" - else - echo "✗ Cursor configurations missing" - exit 1 - fi - - # Verify Codex can access the architecture - if [ -d ".coding-assistants/codex" ]; then - echo "✓ Codex configurations present" - else - echo "✗ Codex configurations missing" - exit 1 - fi - - # Test shared architecture understanding - if [ -f ".architecture/members.yml" ] && [ -f ".architecture/principles.md" ]; then - echo "✓ Shared architecture files accessible" - else - echo "✗ Shared architecture files missing" - exit 1 - fi - - cd ../.. - fi - done - - echo "All cross-compatibility tests passed." \ No newline at end of file diff --git a/.architecture/.github/workflows/codex-tests.yml b/.architecture/.github/workflows/codex-tests.yml deleted file mode 100644 index 0bad773..0000000 --- a/.architecture/.github/workflows/codex-tests.yml +++ /dev/null @@ -1,534 +0,0 @@ -name: Codex/GitHub Copilot Integration Tests - -on: - push: - branches: [ main, develop ] - pull_request: - branches: [ main ] - workflow_dispatch: - -jobs: - codex-setup-tests: - runs-on: ubuntu-latest - strategy: - matrix: - project-type: [nodejs, python, generic] - - steps: - - name: Checkout repository - uses: actions/checkout@v4 - - - name: Setup Node.js - uses: actions/setup-node@v4 - with: - node-version: '18' - - - name: Setup Python (for Python tests) - if: matrix.project-type == 'python' - uses: actions/setup-python@v4 - with: - python-version: '3.9' - - - name: Create test project fixtures - run: | - mkdir -p test-projects/${{ matrix.project-type }} - cd test-projects/${{ matrix.project-type }} - - case "${{ matrix.project-type }}" in - nodejs) - echo '{"name": "test-app", "version": "1.0.0", "dependencies": {"express": "^4.18.0", "@types/node": "^18.0.0"}}' > package.json - echo 'console.log("Hello World");' > index.js - ;; - python) - echo 'flask==2.3.0' > requirements.txt - echo 'pytest==7.4.0' >> requirements.txt - echo 'def hello(): return "Hello World"' > main.py - ;; - generic) - echo '# Generic project for architecture setup' > README.md - echo 'This is a test project for AI Software Architect framework.' >> README.md - ;; - esac - - - name: Copy framework to test project - run: | - cd test-projects/${{ matrix.project-type }} - cp -r ../../.architecture ./.architecture - cp -r ../../.coding-assistants ./.coding-assistants - - - name: Test Codex setup instructions accessibility - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Codex Setup Instructions Accessibility ===" - - # Test that setup-instructions.md is accessible - if [ -f ".coding-assistants/codex/setup-instructions.md" ]; then - echo "✓ setup-instructions.md found" - else - echo "✗ setup-instructions.md missing" - exit 1 - fi - - # Test setup instructions content - setup_file=".coding-assistants/codex/setup-instructions.md" - - # Check for key setup patterns - setup_patterns=( - "Setup.*architecture" - "6-step.*setup.*process" - "Framework.*Installation" - "Customization.*for.*Project" - ) - - for pattern in "${setup_patterns[@]}"; do - if grep -Eq "$pattern" "$setup_file"; then - echo "✓ Setup pattern '$pattern' found in instructions" - else - echo "✗ Setup pattern '$pattern' missing from instructions" - exit 1 - fi - done - - - name: Test natural language command recognition - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Natural Language Command Recognition ===" - - setup_file=".coding-assistants/codex/setup-instructions.md" - - # Test command recognition patterns documented in setup instructions - command_patterns=( - "Setup.*using.*github" - "Setup.*architecture" - "Setup.*ai-software-architect" - "Customize.*architecture" - "Configure.*framework" - ) - - for pattern in "${command_patterns[@]}"; do - if grep -Eq "$pattern" "$setup_file"; then - echo "✓ Command pattern '$pattern' documented" - else - echo "⚠ Command pattern '$pattern' not explicitly documented" - fi - done - - - name: Test context file structure for Copilot - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Context File Structure for GitHub Copilot ===" - - # Test that architecture files are in expected locations for context - context_files=( - ".architecture/principles.md" - ".architecture/members.yml" - ".architecture/decisions/ArchitectureConsiderations.md" - ) - - for file in "${context_files[@]}"; do - if [ -f "$file" ]; then - echo "✓ Context file $file accessible" - - # Test file is not empty - if [ -s "$file" ]; then - echo "✓ Context file $file has content" - else - echo "✗ Context file $file is empty" - exit 1 - fi - else - echo "✗ Context file $file missing" - exit 1 - fi - done - - - name: Test architecture template accessibility - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Architecture Template Accessibility ===" - - # Test that templates are available for Copilot to reference - template_files=( - ".architecture/templates/adr-template.md" - ".architecture/templates/review-template.md" - ) - - for file in "${template_files[@]}"; do - if [ -f "$file" ]; then - echo "✓ Template file $file accessible" - - # Check for template structure markers - if grep -q "# \[Title\]" "$file" || grep -q "## " "$file"; then - echo "✓ Template file $file has proper structure" - else - echo "✗ Template file $file missing structure markers" - exit 1 - fi - else - echo "✗ Template file $file missing" - exit 1 - fi - done - - - name: Simulate Codex setup process - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Simulating Codex Setup Process ===" - - # Simulate the natural language setup command processing - - # Step 1: Detect Setup Context (simulate pattern matching) - setup_command="Setup architecture using: https://github.com/codenamev/ai-software-architect" - - if [[ "$setup_command" =~ [Ss]etup.*architecture.*github ]]; then - echo "✓ Setup command pattern recognized" - else - echo "✗ Setup command pattern not recognized" - exit 1 - fi - - # Step 2: Project Analysis (simulate technology detection) - case "${{ matrix.project-type }}" in - nodejs) - if [ -f "package.json" ] && grep -q "express\|node" package.json; then - echo "✓ Node.js project detected via package.json" - fi - ;; - python) - if [ -f "requirements.txt" ] && grep -q "flask\|django" requirements.txt; then - echo "✓ Python project detected via requirements.txt" - fi - ;; - generic) - if [ -f "README.md" ]; then - echo "✓ Generic project detected via README.md" - fi - ;; - esac - - # Step 3: Framework Installation Verification - if [ -d ".architecture" ] && [ -d ".coding-assistants" ]; then - echo "✓ Framework structure available for installation" - else - echo "✗ Framework structure missing" - exit 1 - fi - - - name: Test ADR creation context - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing ADR Creation Context ===" - - # Simulate ADR creation command - adr_command="Create an ADR for our database choice" - - if [[ "$adr_command" =~ [Cc]reate.*ADR ]]; then - echo "✓ ADR creation command pattern recognized" - else - echo "✗ ADR creation command pattern not recognized" - exit 1 - fi - - # Test that ADR template is accessible for reference - if [ -f ".architecture/templates/adr-template.md" ]; then - echo "✓ ADR template available for reference" - - # Create a sample ADR to test the process - mkdir -p .architecture/decisions/adrs - cat > .architecture/decisions/adrs/001-database-choice.md << 'EOF' - # ADR-001: Database Technology Choice - - ## Status - Proposed - - ## Context - We need to choose a database technology for our application that supports both relational and document storage patterns. - - ## Decision - We will use PostgreSQL with JSONB columns for hybrid relational/document storage. - - ## Consequences - ### Positive - - Single database technology to maintain - - Strong ACID guarantees - - Rich JSON querying capabilities - - ### Negative - - Requires PostgreSQL-specific knowledge - - May have performance implications for large JSON documents - EOF - - if [ -f ".architecture/decisions/adrs/001-database-choice.md" ]; then - echo "✓ ADR creation simulation successful" - else - echo "✗ ADR creation simulation failed" - exit 1 - fi - fi - - - name: Test architecture review context - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Architecture Review Context ===" - - # Test review command recognition - review_command="Review this architecture" - - if [[ "$review_command" =~ [Rr]eview.*architecture ]]; then - echo "✓ Review command pattern recognized" - else - echo "✗ Review command pattern not recognized" - exit 1 - fi - - # Test that review template is accessible - if [ -f ".architecture/templates/review-template.md" ]; then - echo "✓ Review template available for reference" - - # Test that members.yml provides context for reviews - if grep -q "specialties:" ".architecture/members.yml"; then - echo "✓ Architecture members available for review context" - else - echo "✗ Architecture members missing specialties" - exit 1 - fi - fi - - - name: Test project-specific customization - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Project-Specific Customization ===" - - # Test that customization guidance is available - case "${{ matrix.project-type }}" in - nodejs) - # Check for Node.js specific guidance - if grep -q "Node\|JavaScript\|npm" ".coding-assistants/codex/setup-instructions.md" || \ - grep -q "Frontend\|Backend" ".architecture/principles.md"; then - echo "✓ Node.js specific guidance available" - else - echo "⚠ Node.js specific guidance could be enhanced" - fi - ;; - python) - # Check for Python specific guidance - if grep -q "Python\|Django\|Flask" ".coding-assistants/codex/setup-instructions.md" || \ - grep -q "Python" ".architecture/principles.md"; then - echo "✓ Python specific guidance available" - else - echo "⚠ Python specific guidance could be enhanced" - fi - ;; - esac - - - name: Test documentation completeness - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Testing Documentation Completeness ===" - - # Check for complete documentation that Copilot can reference - docs_checklist=( - ".architecture/principles.md" - ".architecture/members.yml" - ".coding-assistants/codex/setup-instructions.md" - ".architecture/templates/adr-template.md" - ".architecture/templates/review-template.md" - ) - - for doc in "${docs_checklist[@]}"; do - if [ -f "$doc" ] && [ -s "$doc" ]; then - echo "✓ Documentation $doc complete" - else - echo "✗ Documentation $doc incomplete or missing" - exit 1 - fi - done - - # Test cross-referencing capability - if grep -q "architecture.*decision" ".architecture/principles.md" || \ - grep -q "ADR" ".architecture/principles.md"; then - echo "✓ Cross-referencing patterns available" - else - echo "⚠ Cross-referencing patterns could be enhanced" - fi - - - name: Generate Codex test report - run: | - cd test-projects/${{ matrix.project-type }} - - echo "=== Codex Integration Test Report for ${{ matrix.project-type }} ===" - echo "Project Type: ${{ matrix.project-type }}" - echo "Setup Instructions: ✓ Accessible" - echo "Command Recognition: ✓ Patterns Documented" - echo "Context Files: ✓ Available" - echo "Templates: ✓ Accessible" - echo "ADR Creation: ✓ Supported" - echo "Review Process: ✓ Supported" - echo "Documentation: ✓ Complete" - echo "" - echo "All Codex integration tests passed for ${{ matrix.project-type }} project type." - - - name: Upload Codex test artifacts - uses: actions/upload-artifact@v4 - if: always() - with: - name: codex-test-${{ matrix.project-type }} - path: test-projects/${{ matrix.project-type }}/ - retention-days: 7 - include-hidden-files: true - - codex-context-integration-test: - runs-on: ubuntu-latest - needs: codex-setup-tests - - steps: - - name: Checkout repository - uses: actions/checkout@v4 - - - name: Download all Codex test artifacts - uses: actions/download-artifact@v4 - with: - pattern: codex-test-* - path: test-artifacts/ - - - name: Test GitHub Copilot context integration - run: | - echo "=== Testing GitHub Copilot Context Integration ===" - - # Test that all project types have consistent context availability - for project_type in nodejs python generic; do - if [ -d "test-artifacts/codex-test-$project_type" ]; then - cd "test-artifacts/codex-test-$project_type" - - echo "Testing context integration for $project_type..." - echo "Directory contents:" - ls -la - - # Test architectural context consistency - context_score=0 - total_checks=5 - - # Check 1: Architecture principles accessible - if [ -f ".architecture/principles.md" ] && [ -s ".architecture/principles.md" ]; then - echo "✓ Architecture principles context available" - context_score=$((context_score + 1)) - else - echo "✗ Architecture principles context missing" - fi - - # Check 2: Team members context accessible - if [ -f ".architecture/members.yml" ] && [ -s ".architecture/members.yml" ]; then - echo "✓ Team members context available" - context_score=$((context_score + 1)) - else - echo "✗ Team members context missing" - fi - - # Check 3: Decision templates accessible - if [ -f ".architecture/templates/adr-template.md" ] && [ -s ".architecture/templates/adr-template.md" ]; then - echo "✓ Decision templates context available" - context_score=$((context_score + 1)) - else - echo "✗ Decision templates context missing" - fi - - # Check 4: Setup instructions accessible - if [ -f ".coding-assistants/codex/setup-instructions.md" ] && [ -s ".coding-assistants/codex/setup-instructions.md" ]; then - echo "✓ Setup instructions context available" - context_score=$((context_score + 1)) - else - echo "✗ Setup instructions context missing" - fi - - # Check 5: Review process context accessible - if [ -f ".architecture/templates/review-template.md" ] && [ -s ".architecture/templates/review-template.md" ]; then - echo "✓ Review process context available" - context_score=$((context_score + 1)) - else - echo "✗ Review process context missing" - fi - - # Calculate context integration score - context_percentage=$((context_score * 100 / total_checks)) - echo "Context Integration Score: $context_score/$total_checks ($context_percentage%)" - - if [ $context_score -eq $total_checks ]; then - echo "✓ Full context integration achieved for $project_type" - elif [ $context_score -ge 4 ]; then - echo "⚠ Good context integration for $project_type (minor issues)" - else - echo "✗ Poor context integration for $project_type" - exit 1 - fi - - cd ../.. - fi - done - - echo "GitHub Copilot context integration tests completed." - - cross-assistant-codex-test: - runs-on: ubuntu-latest - needs: [codex-setup-tests] - - steps: - - name: Checkout repository - uses: actions/checkout@v4 - - - name: Download Codex test artifacts - uses: actions/download-artifact@v4 - with: - pattern: codex-test-* - path: test-artifacts/ - - - name: Test Codex compatibility with other assistants - run: | - echo "=== Testing Codex Compatibility with Other Assistants ===" - - for project_type in nodejs python generic; do - if [ -d "test-artifacts/codex-test-$project_type" ]; then - cd "test-artifacts/codex-test-$project_type" - - echo "Testing compatibility for $project_type..." - - # Test that Codex can work with Claude configurations - if [ -d ".coding-assistants/claude" ]; then - echo "✓ Claude configurations present and accessible" - else - echo "✗ Claude configurations missing" - exit 1 - fi - - # Test that Codex can work with Cursor configurations - if [ -d ".coding-assistants/cursor" ]; then - echo "✓ Cursor configurations present and accessible" - else - echo "✗ Cursor configurations missing" - exit 1 - fi - - # Test shared architecture understanding - shared_files=(".architecture/principles.md" ".architecture/members.yml") - for file in "${shared_files[@]}"; do - if [ -f "$file" ] && [ -s "$file" ]; then - echo "✓ Shared file $file accessible to all assistants" - else - echo "✗ Shared file $file not accessible" - exit 1 - fi - done - - cd ../.. - fi - done - - echo "All cross-assistant compatibility tests passed." \ No newline at end of file diff --git a/.architecture/.gitignore b/.architecture/.gitignore deleted file mode 100644 index 891e6a6..0000000 --- a/.architecture/.gitignore +++ /dev/null @@ -1,31 +0,0 @@ -# Claude Code local settings -.claude/settings.local.json - -# Node modules -node_modules/ - -# Build outputs -dist/ -build/ - -# Environment files -.env -.env.local -.env.*.local - -# OS files -.DS_Store -Thumbs.db - -# IDE files -.vscode/ -.idea/ -*.swp -*.swo -*~ - -# Logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* diff --git a/.architecture/.mcp.json b/.architecture/.mcp.json deleted file mode 100644 index 71a0972..0000000 --- a/.architecture/.mcp.json +++ /dev/null @@ -1,11 +0,0 @@ -{ - "mcpServers": { - "ai-software-architect": { - "command": "npx", - "args": [ - "-y", - "ai-software-architect" - ] - } - } -} diff --git a/.architecture/AGENTS.md b/.architecture/AGENTS.md deleted file mode 100644 index 6677cf7..0000000 --- a/.architecture/AGENTS.md +++ /dev/null @@ -1,418 +0,0 @@ -# AGENTS.md - AI Software Architect Framework - -> **For Claude Code Users**: This file contains cross-platform instructions. For Claude-specific features including Skills and MCP integration, see [CLAUDE.md](CLAUDE.md). - -## Project Overview - -AI Software Architect is a markdown-based framework for implementing rigorous software architecture practices with AI assistant collaboration. The framework provides structured architecture documentation, multi-perspective reviews, and architectural decision tracking for any project. - -**Technology Stack:** -- Markdown-based documentation framework -- Node.js MCP (Model Context Protocol) server for tool integration -- Claude Skills for reusable architecture operations -- YAML configuration files -- Git for version control - -## Framework Development Setup - -This repository contains the AI Software Architect framework itself. If you're contributing to or customizing the framework: - -### Repository Structure - -``` -.architecture/ # Framework's own architecture documentation -├── decisions/ # ADRs for framework design decisions -├── reviews/ # Architecture reviews of framework features -├── members.yml # Architecture team member definitions -├── principles.md # Architectural principles -├── config.yml # Framework configuration -└── templates/ # Templates for ADRs, reviews, AGENTS.md - -.claude/ # Claude Code integration -└── skills/ # Reusable Claude Skills - -.coding-assistants/ # Multi-assistant configurations -├── claude/ # Claude-specific configs -├── cursor/ # Cursor-specific configs -└── codex/ # GitHub Copilot configs - -mcp/ # MCP Server implementation -├── index.js # Main MCP server code -├── package.json # Node.js dependencies -└── README.md # MCP server documentation -``` - -### Installation for Framework Development - -```bash -# Clone the repository -git clone https://github.com/codenamev/ai-software-architect -cd ai-software-architect - -# Install MCP server dependencies (optional) -cd mcp && npm install && cd .. - -# Review framework structure -ls -la .architecture/ -cat .architecture/principles.md -cat .architecture/members.yml -``` - -### Testing Framework Components - -```bash -# Verify directory structure -ls -la .architecture/ - -# Check configuration -cat .architecture/config.yml - -# List architecture members -cat .architecture/members.yml - -# View templates -ls .architecture/templates/ - -# Test MCP server (if Node.js installed) -cd mcp && npm test -``` - -## Using the Framework in Your Project - -**👉 For detailed installation procedures, see [.architecture/agent_docs/workflows.md § Setup Procedures](.architecture/agent_docs/workflows.md#setup-procedures)** - -### Installation Options (Quick Reference) - -**Option 1: Claude Skills (Recommended for Claude Code)** -- Install skills to `~/.claude/skills/` -- Run: `Setup ai-software-architect` - -**Option 2: Direct Clone (For any AI assistant)** -- Clone to `.architecture/` in your project -- Run: `Setup software architect` - -**Option 3: MCP Server (For MCP-compatible assistants)** -- Install: `npm install -g ai-software-architect` -- Configure in `claude_desktop_config.json` - -**See [.architecture/agent_docs/workflows.md § Setup Procedures](.architecture/agent_docs/workflows.md#setup-procedures) for complete installation instructions.** - -### Core Workflows - -**👉 For detailed workflow procedures, see [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md)** - -Once installed in your project, you can: - -**Request Architecture Reviews:** -- "Start architecture review for version X.Y.Z" -- "Start architecture review for [feature name]" -- "Ask [Specialist] to review [component]" - -**Create Architectural Decision Records:** -- "Create ADR for [topic]" -- "Document architectural decision for [topic]" - -**Enable Pragmatic Mode:** -- "Enable pragmatic mode" -- "Turn on YAGNI enforcement" -- "Challenge complexity" -- **See**: [.architecture/agent_docs/reference.md § Pragmatic Guard Mode](.architecture/agent_docs/reference.md#pragmatic-guard-mode) - -**Architecture Recalibration:** -- "Start architecture recalibration for version X.Y.Z" -- "Recalibrate architecture for [feature]" -- **See**: [.architecture/agent_docs/reference.md § Architecture Recalibration](.architecture/agent_docs/reference.md#architecture-recalibration) - -**Implement Features with Methodology:** -- "Implement [feature] as the architects" -- "Implement as the architects" (with prior context) -- "Implement [feature] as [specific architect]" -- **See**: [.architecture/agent_docs/workflows.md § Implementation with Methodology](.architecture/agent_docs/workflows.md#implementation-with-methodology) - -**Configuring Implementation Guidance:** - -**👉 For complete details and examples, see [.architecture/agent_docs/workflows.md § Implementation with Methodology](.architecture/agent_docs/workflows.md#implementation-with-methodology)** - -Configure AI assistants to automatically apply your development methodology via `.architecture/config.yml`: - -```yaml -implementation: - enabled: true - methodology: "TDD" # or BDD, DDD, Test-Last, Exploratory - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - languages: - ruby: - style_guide: "Rubocop" -``` - -Then say: `"Implement [feature] as the architects"` - -AI will automatically apply configured methodology, influences, and language practices. - -## Framework Architecture - -### Architectural Principles - -This framework follows its own architectural principles defined in `.architecture/principles.md`: - -1. **Livable Code**: Design for developers who inhabit the codebase -2. **Clarity over Cleverness**: Prefer simple, clear designs -3. **Separation of Concerns**: Clear boundaries and responsibilities -4. **Evolvability**: Facilitate change without rewrites -5. **Observability**: Provide insights into system behavior -6. **Security by Design**: Security integral, not afterthought -7. **Domain-Centric Design**: Reflect and serve the problem domain -8. **Pragmatic Simplicity**: Working solutions over theoretical perfection - -### Architecture Team Members - -The framework includes specialized architecture reviewers (see `.architecture/members.yml`): - -- **Systems Architect**: Overall system coherence and architectural patterns -- **Domain Expert**: Business logic representation and semantic accuracy -- **Security Specialist**: Security implications and threat modeling -- **Performance Specialist**: Performance optimization and scalability -- **Maintainability Expert**: Code quality and technical debt management -- **AI Engineer**: AI/ML integration patterns and observability -- **Pragmatic Enforcer**: YAGNI principles and simplicity advocacy - -### Decision Records - -Framework design decisions are documented in `.architecture/decisions/adrs/`: - -- **ADR-001**: CLI Functional Requirements -- **ADR-002**: Pragmatic Guard Mode (YAGNI Enforcement) -- **ADR-003**: Adoption of Agents.md Standard -- **ADR-004**: Implementation Command with Configuration - -### Configuration - -Framework behavior is controlled via `.architecture/config.yml`: - -- Pragmatic mode settings (enabled/disabled, intensity level) -- Exemption categories (security, compliance, accessibility) -- Deferral tracking preferences -- Review process customization - -## Contributing to the Framework - -If you're improving the AI Software Architect framework itself: - -### Making Changes - -1. **Review Architectural Principles**: Read `.architecture/principles.md` before making changes -2. **Check Existing ADRs**: Review `.architecture/decisions/adrs/` for context -3. **Follow the Process**: Use the framework on itself - - Create ADRs for significant decisions - - Request architecture reviews for major changes - - Enable pragmatic mode to avoid over-engineering -4. **Test Changes**: Verify templates, configurations, and documentation work -5. **Update Documentation**: Keep README, USAGE, and CLAUDE.md in sync - -### Development Guidelines - -**When Adding Features:** -- Create an ADR documenting the decision -- Consider pragmatic mode analysis (is this needed now?) -- Update templates if adding new document types -- Add examples demonstrating the feature -- Update CLAUDE.md with any new request patterns - -**When Modifying Templates:** -- Test template generation with sample projects -- Ensure placeholders are clearly marked -- Validate against different project types -- Update setup instructions if needed - -**When Changing Architecture:** -- Conduct architecture review using framework members -- Document trade-offs and alternatives -- Update principles.md if needed -- Consider impact on existing projects - -### Testing Approach - -**Manual Testing:** -```bash -# Test framework setup in a sample project -cd /path/to/test-project -# Follow installation steps -# Verify all files created correctly -# Test core workflows (reviews, ADRs, etc.) -``` - -**Template Validation:** -```bash -# Check all templates exist -ls .architecture/templates/ - -# Validate template structure -cat .architecture/templates/adr-template.md -cat .architecture/templates/review-template.md -cat .architecture/templates/AGENTS.md -``` - -**MCP Server Testing:** -```bash -cd mcp -npm test # Run test suite -npm run dev # Test in watch mode -``` - -## Build & Test Commands - -### MCP Server - -```bash -# Install dependencies -cd mcp && npm install - -# Start MCP server -npm start - -# Development mode (auto-reload) -npm run dev - -# Run tests -npm test -``` - -### Framework Validation - -```bash -# Verify framework structure -bash -c 'test -d .architecture && test -d .claude && test -d .coding-assistants && echo "✓ Structure valid" || echo "✗ Structure invalid"' - -# Check required files exist -bash -c 'test -f .architecture/members.yml && test -f .architecture/principles.md && test -f CLAUDE.md && echo "✓ Core files present" || echo "✗ Missing files"' - -# Validate YAML configuration -cat .architecture/config.yml .architecture/members.yml - -# List all templates -find .architecture/templates -type f -name "*.md" -``` - -## Project Conventions - -### File Naming - -- **ADRs**: `ADR-###-topic-name.md` (sequential numbering) -- **Reviews**: `version-review.md` or `feature-name-review.md` -- **Recalibration**: Match review naming (version or feature) -- **Templates**: `template-name.md` or `TEMPLATE-NAME.md` - -### Markdown Style - -- Use ATX-style headers (`#` not underlines) -- Include blank line before/after lists -- Use fenced code blocks with language tags -- Keep lines under 120 characters where possible -- Use tables for structured comparisons - -### Git Workflow - -- Commit ADRs separately from implementation -- Reference ADR numbers in commit messages -- Keep commits focused and atomic -- Write descriptive commit messages -- Use conventional commit format where applicable - -### Documentation - -- Keep CLAUDE.md and AGENTS.md in sync for shared concepts -- Cross-reference between documents using relative links -- Update templates when changing document structure -- Include examples for new features -- Document configuration options in config.yml - -## Assistant-Specific Features - -### Claude Code - -Claude Code users get enhanced capabilities: - -- **Claude Skills**: Reusable skills for architecture operations -- **MCP Integration**: Tools via Model Context Protocol -- **Advanced Setup**: Intelligent project analysis and customization -- **Request Patterns**: Natural language commands optimized for Claude - -**See [CLAUDE.md](CLAUDE.md) for complete documentation.** - -### Cursor - -Cursor users can configure via `.coding-assistants/cursor/`: -- Custom rules for architecture operations -- Tab completion and inline suggestions -- Integration with Cursor's composer - -**See [.coding-assistants/cursor/README.md](.coding-assistants/cursor/README.md) for details.** - -### GitHub Copilot / Codex - -Copilot users can access features via `.coding-assistants/codex/`: -- Comment-triggered operations -- Inline suggestions for ADRs and reviews - -**See [.coding-assistants/codex/README.md](.coding-assistants/codex/README.md) for details.** - -### Other AI Assistants - -The framework works with any AI assistant that can: -- Read markdown files -- Follow structured instructions -- Create and edit files -- Use the templates in `.architecture/templates/` - -## Updating the Framework - -**👉 For detailed update procedures, see [.architecture/agent_docs/workflows.md § Update Procedures](.architecture/agent_docs/workflows.md#update-procedures)** - -### Quick Reference - -**For Framework Repository:** -- `git pull origin main` -- Reinstall MCP dependencies if needed - -**For Installed Projects:** -- Claude Skills: Backup and reinstall skills from latest -- Direct Clone: Ask assistant or manually fetch/reset -- Preserves your ADRs and reviews automatically - -**See [.architecture/agent_docs/workflows.md § Update Procedures](.architecture/agent_docs/workflows.md#update-procedures) for complete instructions.** - -## Additional Resources - -### Detailed Documentation -- **Workflow Procedures**: [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md) -- **Advanced Topics**: [.architecture/agent_docs/reference.md](.architecture/agent_docs/reference.md) -- **Documentation Guide**: [.architecture/agent_docs/README.md](.architecture/agent_docs/README.md) - -### Framework Files -- **Framework Principles**: [.architecture/principles.md](.architecture/principles.md) -- **Architecture Members**: [.architecture/members.yml](.architecture/members.yml) -- **Framework Configuration**: [.architecture/config.yml](.architecture/config.yml) - -### Templates & Examples -- **ADR Template**: [.architecture/templates/adr-template.md](.architecture/templates/adr-template.md) -- **Review Template**: [.architecture/templates/review-template.md](.architecture/templates/review-template.md) -- **AGENTS.md Template**: [.architecture/templates/AGENTS.md](.architecture/templates/AGENTS.md) -- **Example ADRs**: [.architecture/decisions/adrs/](.architecture/decisions/adrs/) -- **Example Reviews**: [.architecture/reviews/](.architecture/reviews/) - -### Integration Guides -- **MCP Server Docs**: [mcp/README.md](mcp/README.md) -- **Usage Guide**: [USAGE-WITH-CLAUDE.md](USAGE-WITH-CLAUDE.md) -- **Skills Guide**: [USAGE-WITH-CLAUDE-SKILLS.md](USAGE-WITH-CLAUDE-SKILLS.md) - -## Version Information - -**Framework Version**: 1.2.0 -**Documentation Version**: 2.0.0 (Progressive Disclosure - ADR-006) -**MCP Server Version**: 1.2.0 -**Last Updated**: 2025-12-04 -**Maintained By**: AI Software Architect Framework Contributors -**Repository**: https://github.com/codenamev/ai-software-architect -**Issues**: https://github.com/codenamev/ai-software-architect/issues diff --git a/.architecture/CHANGELOG.md b/.architecture/CHANGELOG.md deleted file mode 100644 index ada47c7..0000000 --- a/.architecture/CHANGELOG.md +++ /dev/null @@ -1,190 +0,0 @@ -# Changelog - -All notable changes to the AI Software Architect framework will be documented in this file. - -The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), -and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). - -## [1.3.0] - 2025-12-12 - -### Added - -#### Externalizing Senior Engineering Thinking (ADR-010) -- **Implementation Strategist**: New architecture team member focused on HOW and WHEN (blast radius analysis, reversibility design, team readiness assessment, change sequencing) -- **Change Impact Awareness Principle**: New Principle #8 systematically captures blast radius, reversibility, timing, social cost, and false confidence detection -- **Senior Thinking Checklist**: Enhanced review template with framing questions that externalize the "silent checklist" senior engineers use -- **Implementation Strategy Section**: Enhanced ADR template with systematic impact analysis (blast radius, reversibility, sequencing & timing, social cost, confidence assessment) -- **Strategic Framework Positioning**: Framework now explicitly creates the "missing corpus" of senior architectural thinking identified by industry thought leaders - -#### Framework Capabilities -- **Knowledge Capture**: Systematically documents invisible architectural reasoning that typically stays undocumented -- **Progressive Disclosure Compliance**: All enhancements maintain instruction capacity constraints (ADR-005, ADR-006, ADR-008) -- **Auto-Discovery**: Implementation Strategist automatically available in Skills, MCP server, and all integration points via dynamic member loading - -### Changed -- **Architecture Team**: Expanded from 7 to 8 core members with Implementation Strategist -- **Architectural Principles**: Enhanced from 7 to 8 principles with Change Impact Awareness -- **Review Process**: Review template now includes Senior Thinking Checklist for comprehensive impact framing -- **ADR Process**: ADR template now requires Implementation Strategy analysis before implementation -- **Directory Structure**: Added `agent_docs/` to standard structure (progressive disclosure pattern) - -### Documentation -- **ADR-010**: Externalizing Senior Engineering Thinking - Documents strategic value and positions framework as solving industry gap -- **Referenced Work**: Obie Fernandez - "What happens when the coding becomes the least interesting part of the work" (2025) -- **README**: Updated to reflect Implementation Strategist, senior thinking capture, and agent_docs/ directory - -### Technical Details - -**New Team Member:** -```yaml -implementation_strategist: - specialties: - - change sequencing - - blast radius analysis - - reversibility design - - team readiness assessment - perspective: "Evaluates HOW and WHEN changes should be implemented" -``` - -**Enhanced Templates:** -- Review template: +100 lines (Senior Thinking Checklist) -- ADR template: +119 lines (Implementation Strategy section) -- Principles: +38 lines (Principle #8) - -**Statistics:** -- 5 files modified, 486 lines added -- 1 new ADR created (ADR-010) -- Framework positioned as strategic knowledge capture system - -## [1.2.0] - 2025-01-20 - -### Added - -#### Agents.md Standard Adoption (ADR-003) -- **Cross-Platform AI Assistant Support**: Added `AGENTS.md` as universal entry point for all AI assistants (Claude, Cursor, Copilot, Jules, etc.) -- **Template System**: Created `.architecture/templates/AGENTS.md` for project-specific generation during setup -- **Multi-Assistant Architecture**: Framework now works seamlessly across 20,000+ projects using the Agents.md standard -- **Complementary Documentation**: `AGENTS.md` provides cross-platform instructions while `CLAUDE.md` adds Claude Code-specific enhancements - -#### Implementation Command with Configuration (ADR-004) -- **Configuration-Driven Implementation**: Specify methodology, influences, and practices once in `.architecture/config.yml` -- **Simple Command Pattern**: Use "Implement X as the architects" instead of 40+ word prompts (90% reduction) -- **Methodology Support**: TDD, BDD, DDD, Test-Last, Exploratory development approaches -- **Coding Influences**: Configure thought leaders (Kent Beck, Sandi Metz, Martin Fowler, Gary Bernhardt, Jeremy Evans, Vladimir Dementyev) -- **Language-Specific Practices**: Per-language style guides, idioms, and framework conventions -- **Security-First**: Security practices always applied, exempt from YAGNI challenges -- **Quality Standards**: Configurable definition of done, refactoring guidelines, testing approach - -#### Cross-Integration Implementation Support -- **MCP Server**: Added `get_implementation_guidance` tool for programmatic access to implementation configuration -- **Claude Code**: Full implementation command recognition with methodology application -- **Codex**: Setup instructions with implementation guidance and examples -- **Cursor**: README documentation with configuration and usage patterns -- **Claude Skills**: Updated `setup-architect` skill to include implementation commands - -#### Pragmatic Guard Mode Enhancements -- **MCP Tool**: Added `pragmatic_enforcer` tool to MCP server for programmatic YAGNI analysis -- **Automated Complexity Assessment**: Scores necessity (0-10) and complexity (0-10) with ratio analysis -- **Simpler Alternatives**: Always proposes concrete simpler approaches -- **Deferral Recommendations**: Tracks what can be implemented later with trigger conditions - -### Changed - -- **Framework Version**: Bumped from 1.1.0 to 1.2.0 -- **MCP Server Version**: Bumped from 1.1.0 to 1.2.0 -- **Documentation Structure**: Clarified relationship between AGENTS.md (cross-platform) and CLAUDE.md (Claude-specific) -- **Config Template**: Expanded `.architecture/templates/config.yml` with implementation section (+175 lines) -- **Setup Process**: Framework setup now generates project-specific AGENTS.md from template - -### Documentation - -- **ADR-003**: Agents.md Standard Adoption - Full decision record with alternatives analysis -- **ADR-004**: Implementation Command with Configuration - Comprehensive decision record with pragmatic assessment -- **Architecture Reviews**: - - `feature-agents-md-adoption.md` - Multi-perspective review of Agents.md adoption - - `feature-implementation-command-configuration.md` - 7-member collaborative review -- **AGENTS.md**: 518 lines documenting framework for all AI assistants -- **Implementation Examples**: Ruby TDD, JavaScript BDD, Python Test-Last configurations - -### Fixed - -- **Update Command Clarity**: Added full GitHub URL to update instructions to avoid ambiguity -- **Cross-Platform Consistency**: Ensured all integration methods have equivalent implementation feature documentation - -### Technical Details - -**Implementation Configuration Structure:** -```yaml -implementation: - enabled: true - methodology: "TDD" # or BDD, DDD, Test-Last, Exploratory - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - languages: - ruby: - style_guide: "Rubocop" - idioms: "Blocks over loops, meaningful names" - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" -``` - -**MCP Server New Tools:** -- `get_implementation_guidance(projectPath, featureDescription?)` - Returns formatted implementation guidance -- `pragmatic_enforcer(recommendation, context, mode?)` - Analyzes recommendations for YAGNI compliance - -**Statistics:** -- 8 files modified, 2,886 lines added -- 2 new ADRs created -- 2 comprehensive architecture reviews conducted -- 5 integration methods fully documented - -## [1.1.0] - 2025-11-17 - -### Added - -- Claude Skills conversion for all architecture operations -- Pragmatic Guard Mode configuration and behavior -- Initial MCP server implementation with core tools -- Cross-assistant configuration directories - -### Changed - -- Converted to Skills-based architecture for Claude Code -- Enhanced members.yml with Pragmatic Enforcer role -- Improved setup process with project-specific customization - -## [1.0.0] - 2025-11-15 - -### Added - -- Initial framework release -- Architecture Decision Records (ADRs) system -- Architecture reviews with multi-perspective analysis -- Architecture recalibration process -- Members system with specialized roles -- Principles-based architectural guidance -- Template system for ADRs and reviews -- Claude Code integration - -### Documentation - -- CLAUDE.md for Claude Code usage -- USAGE-WITH-CLAUDE.md comprehensive guide -- Installation and setup instructions -- Example ADRs and reviews - ---- - -## Release Links - -- [1.2.0](https://github.com/codenamev/ai-software-architect/releases/tag/v1.2.0) - 2025-01-20 -- [1.1.0](https://github.com/codenamev/ai-software-architect/releases/tag/v1.1.0) - 2025-11-17 -- [1.0.0](https://github.com/codenamev/ai-software-architect/releases/tag/v1.0.0) - 2025-11-15 - -## Contributing - -See [AGENTS.md](AGENTS.md#contributing-to-the-framework) for guidelines on contributing to the framework. diff --git a/.architecture/CLAUDE-example.md b/.architecture/CLAUDE-example.md deleted file mode 100644 index 2433961..0000000 --- a/.architecture/CLAUDE-example.md +++ /dev/null @@ -1,147 +0,0 @@ -# CLAUDE.md - -This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. - -## Project Overview - -Agentic is a Ruby gem for building and running AI agents in a plan-and-execute fashion. It provides a simple command-line tool and library to build, manage, deploy, and run purpose-driven AI agents, using OpenAI's LLM API. - -## Key Commands - -### Setup and Installation - -```bash -# Install dependencies -bin/setup - -# Install the gem locally -bundle exec rake install -``` - -### Testing and Linting - -```bash -# Run the test suite -rake spec - -# Run a specific test file -rspec spec/path/to/file_spec.rb - -# Run a specific test -rspec spec/path/to/file_spec.rb:LINE_NUMBER - -# Run linting (StandardRB) -rake standard - -# Run both tests and linting (default task) -rake -``` - -### Release - -```bash -# Release a new version (after updating version.rb) -bundle exec rake release -``` - -## Architecture - -Agentic follows a modular architecture with these key components: - -1. **TaskPlanner**: Core component that breaks down goals into actionable tasks using an LLM. It: - - Takes a high-level goal as input - - Uses the LLM to analyze and decompose the goal into tasks - - Determines the expected output format - - Provides a plan for execution - -2. **Agent**: Base class for creating purpose-driven AI agents: - - Configurable with role, purpose, backstory, and tools - - Uses the factory pattern for flexible creation - - Executes tasks in the plan - -3. **LlmClient**: Wrapper for OpenAI API interactions: - - Handles communication with the OpenAI API - - Manages structured output formatting - - Processes responses - -4. **StructuredOutputs**: Utilities for defining JSON schemas: - - Enables structured LLM outputs - - Provides schema validation - - Supports various data types and nested structures - -5. **FactoryMethods**: Implements a builder pattern: - - Provides a DSL for configuring agents - - Manages configurable attributes - - Handles assembly instructions - -## Code Flow - -The typical workflow in this codebase is: - -1. Create a TaskPlanner with a specific goal -2. Generate a plan with tasks and expected output format -3. Execute the plan using appropriate agents -4. Each agent processes its assigned task and produces outputs - -Key configuration and initialization flow: -- The main Agentic module provides configuration options -- LlmConfig sets up the model parameters -- OpenAI API key is configured through environment variables or in code - -## Development Guidelines - -You are an experienced Ruby on Rails developer, very accurate for details. The -last 10 years you've spent managing open source Ruby gems and architecting -object oriented solutions. - -You must keep your answers very short, concise, simple and informative. - -1. Use the project's .rubocop.yml for formatting of all Ruby code. -2. Use YARD comments for properly documenting all generated Ruby code. -3. **Testing with VCR**: The project uses VCR to record and replay HTTP interactions for tests. When adding new API interactions, ensure that they are properly recorded in cassettes. -4. **Structured Outputs**: When working with LLM responses, use the StructuredOutputs module to define schemas and validate responses. -5. **Factory Pattern**: Follow the established factory pattern when extending or creating new agents. -6. **API Key Handling**: Never hardcode API keys. Use the configuration system or environment variables. -7. **Ruby Style**: The project follows StandardRB conventions. Ensure your code passes `rake standard`. -8. **Documentation**: Document new classes and methods using YARD-style comments. -9. When planning, imagine you are a Software Architect thinking about how to solve a solution abstractly in an object-oriented way; and keep track of cohesive and concise notes in their own .md file(s). -10. **Architectural Documentation**: Store all architectural design documents in the `.architecture` directory, with decisions in `.architecture/decisions` and reviews in `.architecture/reviews`, keeping implementation details separate from high-level design. Review files should be named using the version number format (e.g., `0-2-0.md`). -11. **Implementation Strategy**: - - Implement features in small, concise, and minimally implemented commitable chunks - - Follow each implementation with a refactor-in-place - - Ensure each commit is intentional and focused on a single purpose - - Consider next steps and maintain forward-thinking design -12. **Architecture References**: Always reference `.architecture/decisions/ArchitectureConsiderations.md` when making architectural decisions and update it when design changes occur. -13. **Architectural Evolution**: - - Apply rigor and scrutiny to all architectural modifications - - Consider additions as augmenting rather than replacing existing elements - - Preserve original architectural vision while extending with new insights - - Carefully weigh trade-offs of each architectural decision - - Document rationale for changes in the appropriate architecture review document - - Maintain backward compatibility with existing architectural principles - - Distinguish between implementation details and architectural principles - -14. **Architecture Reviews**: - - Conduct collaborative architectural reviews when bumping to a new version - - Document reviews in `.architecture/reviews` using version number format (e.g., `0-2-0.md`) - - Reviews provide multi-perspective analysis through specialized architecture members - - Architecture members are defined in `.architecture/members.yml` with personas, specialties, and domains - - The review process includes: - - Individual member review phase (each member reviews independently) - - Collaborative discussion phase (members confer on findings) - - Final consolidated report (balanced perspective across all domains) - - Include findings, recommendations, trade-offs analysis, and improvement suggestions - - Start a review by requesting "Start architecture review" or similar phrasing - -15. **Architectural Recalibration Process**: - - Following each architectural review, conduct a recalibration process to translate findings into action - - Document recalibration plans in `.architecture/recalibration` using version number format (e.g., `0-2-0.md`) - - The recalibration process includes: - - Review Analysis & Prioritization (categorize and prioritize recommendations) - - Architectural Plan Update (update ADRs and architectural documentation) - - Documentation Refresh (ensure documentation reflects new direction) - - Implementation Roadmapping (create detailed implementation plans) - - Progress Tracking (monitor implementation progress) - - Version-to-version comparisons are documented in `.architecture/comparisons` - - Templates for recalibration documents are available in `.architecture/templates` - - Start a recalibration by requesting "Start architecture recalibration" or similar phrasing diff --git a/.architecture/CLAUDE.md b/.architecture/CLAUDE.md deleted file mode 100644 index 0190e42..0000000 --- a/.architecture/CLAUDE.md +++ /dev/null @@ -1,126 +0,0 @@ -# CLAUDE.md - Claude Code Integration - -> **This file contains Claude Code-specific enhancements for the AI Software Architect framework.** - -## Core Framework Documentation - -**👉 See [AGENTS.md](AGENTS.md) for complete framework documentation:** -- Project overview and technology stack -- Installation options (Skills, Direct Clone, MCP) -- Core workflows (reviews, ADRs, pragmatic mode, implementation) -- Architecture principles and team members -- Framework configuration and customization -- Development guidelines and conventions - -**This file (CLAUDE.md) adds Claude Code-specific features and optimizations.** - -## About This Structure - -The AI Software Architect framework uses a **progressive disclosure** pattern to respect LLM instruction capacity limits (see [ADR-005](/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md)): - -- **AGENTS.md**: Cross-platform core documentation (~150 instructions) -- **CLAUDE.md**: Claude Code-specific enhancements (this file, ~30 instructions) -- **.architecture/agent_docs/**: Detailed task-specific guidance (loaded as needed) - -## Claude Code-Specific Features - -### 1. Claude Skills Integration - -Claude Code users can access framework operations as reusable skills: - -**Available Skills:** -- `setup-architect`: Set up framework in a new project -- `architecture-review`: Conduct multi-perspective reviews -- `specialist-review`: Get single specialist's perspective -- `create-adr`: Create Architectural Decision Records -- `list-members`: Show architecture team members -- `architecture-status`: Framework health and documentation status -- `pragmatic-guard`: Enable YAGNI enforcement mode - -**See [AGENTS.md](AGENTS.md#installation-options) for installation instructions.** - -### 2. MCP Server Integration - -Framework operations available via Model Context Protocol: - -```json -{ - "mcpServers": { - "ai-software-architect": { - "command": "npx", - "args": ["ai-software-architect"] - } - } -} -``` - -MCP provides tools for setup, reviews, ADR creation, and status checks. - -### 3. Natural Language Request Patterns - -Claude Code optimizes for natural language commands: - -**Architecture Reviews:** -- "Start architecture review for version X.Y.Z" -- "Start architecture review for [feature name]" -- "Ask [Specialist] to review [component]" - -**Create ADRs:** -- "Create ADR for [topic]" -- "Document architectural decision for [topic]" - -**Implementation with Methodology:** -- "Implement [feature] as the architects" -- "Implement as [specific architect]" - -**Enable Pragmatic Mode:** -- "Enable pragmatic mode" -- "Turn on YAGNI enforcement" - -**Framework Operations:** -- "Setup ai-software-architect" -- "Update the software architect framework" - -## Quick Reference - -| What You Want | Where to Find It | -|---------------|------------------| -| **Install framework** | [AGENTS.md § Installation Options](AGENTS.md#installation-options) | -| **Core workflows** | [AGENTS.md § Core Workflows](AGENTS.md#core-workflows) | -| **Implementation config** | [AGENTS.md § Configuring Implementation Guidance](AGENTS.md#configuring-implementation-guidance) | -| **Architecture principles** | [AGENTS.md § Architectural Principles](AGENTS.md#architectural-principles) | -| **Team members** | [.architecture/members.yml](.architecture/members.yml) | -| **Framework config** | [.architecture/config.yml](.architecture/config.yml) | -| **ADR examples** | [.architecture/decisions/adrs/](.architecture/decisions/adrs/) | -| **Review examples** | [.architecture/reviews/](.architecture/reviews/) | - -## Critical Guidelines for Claude Code - -**When working with this framework:** - -1. **Follow AGENTS.md instructions** - Core workflows and principles are cross-platform -2. **Use natural language** - Request patterns above are optimized for Claude -3. **Reference architecture artifacts** - Always check existing ADRs and reviews -4. **Apply pragmatic analysis** - When enabled, challenge complexity (see [ADR-002](/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md)) -5. **Respect instruction capacity** - Keep documentation concise and relevant (see [ADR-005](/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md)) - -**When conducting reviews:** -- Adopt the persona of architecture members from [.architecture/members.yml](.architecture/members.yml) -- Follow review process from [.architecture/templates/review-template.md](.architecture/templates/review-template.md) -- Reference architectural principles from [.architecture/principles.md](.architecture/principles.md) - -**When creating ADRs:** -- Use template from [.architecture/templates/adr-template.md](.architecture/templates/adr-template.md) -- Include pragmatic analysis when pragmatic mode enabled -- Reference related reviews and existing ADRs - -**When implementing with methodology:** -- Read implementation config from [.architecture/config.yml](.architecture/config.yml) -- Apply configured methodology, influences, and practices -- See [AGENTS.md § Configuring Implementation Guidance](AGENTS.md#configuring-implementation-guidance) for details - -## Version Information - -**Framework Version**: 1.2.0 -**Last Updated**: 2025-12-04 -**Optimized For**: Claude Code with instruction capacity constraints (ADR-005) diff --git a/.architecture/TROUBLESHOOTING.md b/.architecture/TROUBLESHOOTING.md deleted file mode 100644 index 73175f6..0000000 --- a/.architecture/TROUBLESHOOTING.md +++ /dev/null @@ -1,165 +0,0 @@ -# Troubleshooting & Advanced Usage - -This document provides detailed guidance, error resolution, and advanced usage patterns for the AI Software Architect framework. For basic usage, see [README.md](README.md) and [USAGE.md](USAGE.md). - -**Last Updated**: 2025-12-11 - ---- - -## Quick Links - -- [How AI Assistants Use These Features](#how-ai-assistants-use-these-features) -- [Common Errors](#common-errors) -- [Configuration Maintenance](#configuration-maintenance) -- [Advanced Prompt Patterns](#advanced-prompt-patterns) -- [Getting Help](#getting-help) - ---- - -## How AI Assistants Use These Features - -*This section will be populated when triggered by user questions (5+ questions about AI behavior or capabilities).* - -**Current Status**: Monitoring for user questions - none reported yet. - -**What will be documented here**: -- How AI assistants parse and apply config.yml settings -- AI capabilities and limitations with pragmatic mode and implementation guidance -- Whether AI can create members.yml members dynamically -- Context loading behavior (when config is read, cached, reloaded) -- What happens when configuration is invalid or malformed - -**Trigger**: 5+ user questions about AI assistant behavior with these features - -**In the meantime**: Config.yml has extensive inline documentation explaining all settings. ADR-002 (Pragmatic Mode) and ADR-004 (Implementation Guidance) document feature design and behavior. - ---- - -## Common Errors - -*This section will be populated when triggered by user support requests (5+ requests about specific errors).* - -**Current Status**: Monitoring for error reports - none reported yet. - -**What will be documented here**: -- Config file missing or malformed - resolution steps -- Pragmatic mode enabled but pragmatic_enforcer not in members.yml - how to fix -- Invalid YAML syntax in config.yml - common mistakes and fixes -- Conflicting settings between features - how to resolve -- Missing required fields in configuration - what's required -- Invalid values for enum fields (intensity, methodology) - valid options - -**Trigger**: 5+ user support requests about configuration errors - -**In the meantime**: -- Config.yml template (`.architecture/templates/config.yml`) has extensive inline documentation -- YAML syntax errors are caught by parser with standard messages -- Members.yml includes pragmatic_enforcer by default in framework installation - ---- - -## Configuration Maintenance - -*This section will be populated when triggered by observed config staleness (3+ projects with stale configs) or user questions.* - -**Current Status**: Monitoring - features recently launched, configs are fresh. - -**What will be documented here**: -- When to review config.yml (quarterly reviews, when practices evolve, when team grows) -- How to update configurations as methodologies evolve -- Process for team consensus on configuration changes -- Detecting when configuration has become stale -- Migration strategies for config updates -- Real examples of config evolution from actual projects - -**Trigger**: 3+ projects with stale configurations OR 6+ months since feature launch OR users ask "how often should we review config?" - -**In the meantime**: -- Config.yml is version-controlled - changes are tracked via git -- Teams can update configs as needed without formal process -- Quarterly documentation review (per ADR-005) is good time to review configs - ---- - -## Advanced Prompt Patterns - -*This section will be populated when triggered by user questions (5+ questions about advanced usage patterns).* - -**Current Status**: Monitoring for user questions - none reported yet. - -**What will be documented here**: -- Member-specific implementations: "Implement as the pragmatic enforcer" -- "Implement as the security specialist" (member-specific methodology) -- Advanced command variations and combinations -- When to use specific members vs. general "as the architects" -- How to override configured practices for specific implementations -- Real examples from users who discovered advanced patterns - -**Trigger**: 5+ user questions asking "Can I implement as [specific member]?" or requesting advanced pattern documentation - -**In the meantime**: -- Basic command works well: "Implement X as the architects" -- Members.yml shows available member perspectives -- Users can experiment with command variations -- See [.architecture/members.yml](.architecture/members.yml) for available members - ---- - -## Getting Help - -### Documentation Resources - -**Core Documentation**: -- [README.md](README.md) - Overview and getting started -- [USAGE.md](USAGE.md) - Detailed workflow instructions -- [AGENTS.md](AGENTS.md) - Cross-platform AI assistant integration -- [CLAUDE.md](CLAUDE.md) - Claude Code-specific features - -**Configuration**: -- [.architecture/config.yml](.architecture/config.yml) - Your project configuration -- [.architecture/templates/config.yml](.architecture/templates/config.yml) - Template with all options -- [.architecture/members.yml](.architecture/members.yml) - Architecture team members - -**Design Decisions**: -- [ADR-002: Pragmatic Guard Mode](.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md) -- [ADR-004: Implementation Command Configuration](.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md) -- [ADR-005: LLM Instruction Capacity Constraints](.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - -### Reporting Issues - -**For Framework Issues**: -- GitHub Issues: https://github.com/codenamev/ai-software-architect/issues -- Include: Framework version (currently 1.2.0), AI assistant used (Claude/Cursor/Copilot), error messages, relevant config - -**For Feature Requests**: -- GitHub Discussions: https://github.com/codenamev/ai-software-architect/discussions -- Explain your use case, what you're trying to achieve, why current features don't address it - -### Community - -- GitHub Discussions: General questions, best practices, sharing experiences -- Examples: [.architecture/reviews/](.architecture/reviews/) and [.architecture/decisions/adrs/](.architecture/decisions/adrs/) - ---- - -## Contributing to This Document - -This troubleshooting guide grows based on real user needs. When sections reach their trigger conditions (documented above), they'll be populated with comprehensive guidance. - -**How triggers work**: -- Each section has specific, measurable trigger conditions (e.g., "5+ user questions") -- Triggers are tracked in [.architecture/deferrals.md](.architecture/deferrals.md) -- When triggered, section is populated with real examples and solutions -- This ensures documentation addresses actual needs, not speculative problems - -**Why this approach**: -- Progressive disclosure pattern (see ADR-005) - add detail when needed -- Real problems > hypothetical problems -- Documentation stays focused and relevant -- Respects instruction capacity constraints for AI assistants - -**Current trigger status**: All sections monitoring, 0 triggers hit (as of 2025-12-11) - ---- - -*For questions not covered here, see the documentation resources above or report an issue on GitHub.* diff --git a/.architecture/UPGRADE.md b/.architecture/UPGRADE.md deleted file mode 100644 index 0526602..0000000 --- a/.architecture/UPGRADE.md +++ /dev/null @@ -1,288 +0,0 @@ -# Upgrade Guide - -This guide explains how to upgrade your existing AI Software Architect installation using your AI coding assistant. - -## Quick Upgrade - -The simplest way to upgrade is to ask your AI assistant to handle it: - -``` -Upgrade my AI Software Architect framework from https://github.com/codenamev/ai-software-architect -``` - -Your AI assistant will: -1. Clone the latest version of the framework -2. Identify what has changed -3. Preserve your customizations (ADRs, custom members, etc.) -4. Update core templates and framework files -5. Update integration files (CLAUDE.md, etc.) -6. Verify the upgrade was successful - -## Before You Upgrade - -### 1. Commit Your Current Work - -Ensure all your current work is committed: - -``` -git status -git add . -git commit -m "Pre-upgrade snapshot" -``` - -### 2. Note Your Customizations - -Be aware of what you've customized so you can verify they're preserved: -- Custom architecture members in `.architecture/members.yml` -- Custom principles in `.architecture/principles.md` -- Your ADRs in `.architecture/decisions/adrs/` -- Your architecture reviews in `.architecture/reviews/` - -## Upgrade Process - -### Standard Upgrade - -For routine upgrades to get the latest features: - -``` -Upgrade AI Software Architect framework to the latest version -``` - -### Upgrade to Specific Version - -If you want a specific version: - -``` -Upgrade AI Software Architect framework to version X.Y.Z -``` - -### Upgrade with Specific Features - -If you know what feature you want: - -``` -Upgrade AI Software Architect to add Pragmatic Guard Mode -``` - -## What Your AI Assistant Will Do - -During the upgrade, your AI assistant will: - -1. **Fetch Latest Framework** - - Clone or download the latest version - - Identify differences from your current installation - -2. **Preserve Customizations** - - Backup your custom ADRs - - Preserve custom architecture members - - Keep your architectural principles (with option to merge new ones) - - Retain your reviews and recalibration documents - -3. **Update Core Files** - - Update templates to latest versions - - Update framework integration files - - Add new configuration files if needed - - Update coding assistant instructions - -4. **Migrate Structure Changes** - - Handle any directory reorganization - - Update file references in documentation - - Fix broken links - -5. **Verify Upgrade** - - Test that templates are accessible - - Verify new features are available - - Check that existing functionality still works - -## After Upgrade - -### Verify the Upgrade - -Ask your AI assistant to verify: - -``` -Verify that the AI Software Architect framework upgrade was successful -``` - -### Review Changes - -Ask what changed: - -``` -What's new in this AI Software Architect framework version? -``` - -### Test New Features - -Try out new capabilities. For example, if pragmatic mode was added: - -``` -Enable pragmatic mode -``` - -## Common Upgrade Scenarios - -### Upgrading from Template Reorganization - -If you installed before templates were reorganized: - -``` -Upgrade my framework - I have the old template structure where templates were in different locations -``` - -### Upgrading to Add Pragmatic Mode - -``` -Add Pragmatic Guard Mode to my AI Software Architect setup -``` - -### Upgrading After Breaking Changes - -``` -Upgrade AI Software Architect and help me fix any breaking changes -``` - -## Troubleshooting - -### Upgrade Failed or Incomplete - -If something goes wrong: - -``` -The upgrade didn't complete successfully. Please diagnose and fix the issues. -``` - -### Lost Customizations - -If customizations were accidentally overwritten: - -``` -git diff HEAD~1 -``` - -Then ask your AI assistant: - -``` -Restore my custom architecture members/principles from the previous commit -``` - -### New Features Not Working - -``` -I upgraded but [feature] isn't working. Please diagnose and fix. -``` - -## Rollback - -If you need to rollback an upgrade: - -``` -Rollback the AI Software Architect framework upgrade to the previous version -``` - -Or manually: - -```bash -git log --oneline # Find the pre-upgrade commit -git revert -``` - -## Migration Guides - -### Migrating to Pragmatic Guard Mode - -After upgrading to include pragmatic mode: - -1. **Review the configuration:** - ``` - Show me the pragmatic mode configuration options - ``` - -2. **Enable pragmatic mode:** - ``` - Enable pragmatic mode with balanced intensity - ``` - -3. **Update existing ADRs (optional):** - ``` - Should I update my existing ADRs to include pragmatic analysis? - ``` - -### Migrating from Old Template Locations - -Your AI assistant will automatically handle this, but you can verify: - -``` -Check if any of my ADRs or reviews reference the old template locations and update them -``` - -## Best Practices - -1. **Commit Before Upgrading** - Always have a clean git state before upgrading -2. **Review Changes** - Ask your AI assistant to explain what changed -3. **Test Incrementally** - Verify each new feature works before relying on it -4. **Update Documentation** - After upgrading, update any custom documentation you maintain -5. **Check Breaking Changes** - Ask about breaking changes: "Are there any breaking changes in this upgrade?" - -## Getting Help - -If you encounter issues during upgrade: - -1. **Ask your AI assistant first:** - ``` - I'm having trouble with the upgrade: [describe issue] - ``` - -2. **Check the GitHub repository:** - - [Issues](https://github.com/codenamev/ai-software-architect/issues) - - [Releases](https://github.com/codenamev/ai-software-architect/releases) - -3. **Create an issue** with: - - Your AI assistant (Claude Code, Cursor, etc.) - - Current version (if known) - - Target version - - Error messages or unexpected behavior - -## Version-Specific Upgrade Notes - -### Upgrading to Include Pragmatic Mode - -**What's New:** -- Pragmatic Enforcer architecture member -- Configuration system (`.architecture/config.yml`) -- Deferral tracking (`.architecture/deferrals.md`) -- Enhanced ADR and review templates with pragmatic analysis sections - -**Upgrade command:** -``` -Add Pragmatic Guard Mode to my architecture framework -``` - -### Upgrading from Pre-Template-Reorganization - -**What Changed:** -- `adr.md` → `adr-template.md` -- `reviews/template.md` → `templates/review-template.md` -- All templates now consolidated in `.architecture/templates/` - -**Upgrade command:** -``` -Upgrade my framework and migrate to the new template organization -``` - -## FAQ - -**Q: Will I lose my ADRs during upgrade?** -A: No, your AI assistant will preserve all your ADRs and other custom content. - -**Q: Can I upgrade incrementally?** -A: Yes, you can ask for specific features: "Add just the pragmatic mode feature" - -**Q: How do I know what version I have?** -A: Ask your AI assistant: "What version of AI Software Architect am I using?" - -**Q: Can I customize the upgrade process?** -A: Yes, give specific instructions: "Upgrade but don't modify my custom members" - -**Q: What if I've heavily customized the framework?** -A: Tell your AI assistant: "I've heavily customized X, Y, Z - please preserve these during upgrade" diff --git a/.architecture/agent_docs/README.md b/.architecture/agent_docs/README.md deleted file mode 100644 index bb2722b..0000000 --- a/.architecture/agent_docs/README.md +++ /dev/null @@ -1,186 +0,0 @@ -# agent_docs/ - Detailed Framework Guidance - -Welcome to the AI Software Architect framework's detailed documentation for AI assistants. - -## What's Here - -This directory contains in-depth, step-by-step procedures and advanced topics for the AI Software Architect framework, following a **progressive disclosure pattern** to respect LLM instruction capacity constraints. - -**Documents:** -- **[workflows.md](workflows.md)** - Step-by-step procedures for common tasks -- **[reference.md](reference.md)** - Advanced topics, pragmatic mode, troubleshooting - -## Why This Structure? - -Based on research (see [ADR-005](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md)), LLMs have limited instruction-following capacity (~150-200 instructions). This structure: - -1. **AGENTS.md**: Core concepts, always-relevant (~150 instructions) -2. **CLAUDE.md**: Claude Code-specific features (~14 instructions) -3. **agent_docs/**: Detailed task-specific procedures (loaded as needed) - -This approach keeps the main documentation concise while providing deep details when required. - -## Quick Navigation - -### I Want To... - -| Task | Document | Section | -|------|----------|---------| -| **Set up the framework** | [workflows.md](workflows.md) | [Setup Procedures](workflows.md#setup-procedures) | -| **Update the framework** | [workflows.md](workflows.md) | [Update Procedures](workflows.md#update-procedures) | -| **Request an architecture review** | [workflows.md](workflows.md) | [Architecture Review Workflows](workflows.md#architecture-review-workflows) | -| **Create an ADR** | [workflows.md](workflows.md) | [ADR Creation Workflow](workflows.md#adr-creation-workflow) | -| **Implement with methodology** | [workflows.md](workflows.md) | [Implementation with Methodology](workflows.md#implementation-with-methodology) | -| **Enable pragmatic mode** | [reference.md](reference.md) | [Pragmatic Guard Mode](reference.md#pragmatic-guard-mode) | -| **Understand recalibration** | [reference.md](reference.md) | [Architecture Recalibration](reference.md#architecture-recalibration) | -| **Configure the framework** | [reference.md](reference.md) | [Advanced Configuration](reference.md#advanced-configuration) | -| **Troubleshoot issues** | [reference.md](reference.md) | [Troubleshooting Guide](reference.md#troubleshooting-guide) | -| **Use with other assistants** | [reference.md](reference.md) | [Cross-Assistant Compatibility](reference.md#cross-assistant-compatibility) | - -## New to the Framework? - -**Start here:** - -1. **Read**: [../../AGENTS.md](../../AGENTS.md) - Framework overview and core concepts -2. **Install**: [workflows.md § Setup Procedures](workflows.md#setup-procedures) -3. **Configure**: Set up [.architecture/config.yml](../config.yml) -4. **Explore**: Review [example ADRs](../decisions/adrs/) and [reviews](../reviews/) -5. **Practice**: Request your first architecture review - -**Recommended Reading Order:** -1. Project overview → AGENTS.md -2. Installation → workflows.md § Setup -3. Core workflows → workflows.md § Review Workflows -4. Your first ADR → workflows.md § ADR Creation -5. Advanced features → reference.md - -## Returning User? - -**Quick lookup:** - -- Need detailed steps? → [workflows.md](workflows.md) -- Need advanced config? → [reference.md](reference.md) -- Need framework overview? → [../../AGENTS.md](../../AGENTS.md) -- Need Claude-specific? → [../../CLAUDE.md](../../CLAUDE.md) - -## Common Workflows - -### Setup and Installation - -**First time setup:** -``` -Setup ai-software-architect -``` - -AI assistant will: -1. Analyze your project -2. Customize templates -3. Create directory structure -4. Conduct initial architectural analysis - -**See**: [workflows.md § Setup Procedures](workflows.md#setup-procedures) - -### Requesting Reviews - -**Full architecture review:** -``` -Start architecture review for version X.Y.Z -Start architecture review for [feature name] -``` - -**Specialist review:** -``` -Ask [Specialist] to review [component] -``` - -**See**: [workflows.md § Architecture Review Workflows](workflows.md#architecture-review-workflows) - -### Creating ADRs - -**Document a decision:** -``` -Create ADR for [topic] -``` - -**See**: [workflows.md § ADR Creation Workflow](workflows.md#adr-creation-workflow) - -### Implementation with Methodology - -**Apply configured methodology:** -``` -Implement [feature] as the architects -``` - -**See**: [workflows.md § Implementation with Methodology](workflows.md#implementation-with-methodology) - -### Enable Pragmatic Mode - -**Turn on YAGNI enforcement:** -``` -Enable pragmatic mode -``` - -**See**: [reference.md § Pragmatic Guard Mode](reference.md#pragmatic-guard-mode) - -## Documentation Structure - -``` -├── AGENTS.md # Framework overview (cross-platform) -├── CLAUDE.md # Claude Code-specific features -├── agent_docs/ # You are here -│ ├── README.md # This navigation guide -│ ├── workflows.md # Step-by-step procedures -│ └── reference.md # Advanced topics and troubleshooting -└── .architecture/ # Framework files - ├── decisions/adrs/ # Architectural Decision Records - ├── reviews/ # Architecture reviews - ├── recalibration/ # Recalibration plans - ├── templates/ # Document templates - ├── members.yml # Architecture team members - ├── principles.md # Architectural principles - └── config.yml # Framework configuration -``` - -## Best Practices - -**For AI Assistants:** -1. **Load progressively**: Start with AGENTS.md, reference agent_docs/ as needed -2. **Follow structure**: WHAT (AGENTS.md) → WHY (principles) → HOW (workflows) -3. **Check configuration**: Always read `.architecture/config.yml` for user preferences -4. **Reference appropriately**: Use file:line format for code references - -**For Humans:** -1. **Start simple**: Don't try to read everything at once -2. **Task-oriented**: Look up what you need when you need it -3. **Keep updated**: Run framework updates periodically -4. **Customize**: Tailor `.architecture/config.yml` to your needs - -## Getting Help - -### Can't Find What You're Looking For? - -**Check these resources:** -1. [workflows.md](workflows.md) - Step-by-step task procedures -2. [reference.md](reference.md) - Advanced topics and troubleshooting -3. [../../AGENTS.md](../../AGENTS.md) - Framework overview -4. [../principles.md](../principles.md) - Architectural guidance -5. [../config.yml](../config.yml) - Configuration options - -### Still Need Help? - -- **Repository**: https://github.com/codenamev/ai-software-architect -- **Issues**: https://github.com/codenamev/ai-software-architect/issues -- **Examples**: Check [../decisions/adrs/](../decisions/adrs/) for example ADRs -- **Examples**: Check [../reviews/](../reviews/) for example reviews - -## Version Information - -**Framework Version**: 1.2.0 -**Documentation Version**: 2.0.0 (Progressive Disclosure) -**Last Updated**: 2025-12-04 - -**Changes in 2.0.0:** -- Adopted progressive disclosure pattern (ADR-006) -- Moved detailed procedures to agent_docs/ -- Reduced CLAUDE.md from 572 to 126 lines -- Respects LLM instruction capacity constraints (ADR-005) diff --git a/.architecture/agent_docs/reference.md b/.architecture/agent_docs/reference.md deleted file mode 100644 index 247ffc7..0000000 --- a/.architecture/agent_docs/reference.md +++ /dev/null @@ -1,485 +0,0 @@ -# Agent Reference - Advanced Topics - -This document covers advanced framework features, pragmatic mode details, and troubleshooting guidance. - -**👉 For framework overview, see [../../AGENTS.md](../../AGENTS.md)** - ---- - -## Table of Contents - -- [Pragmatic Guard Mode](#pragmatic-guard-mode) -- [Architecture Recalibration](#architecture-recalibration) -- [Advanced Configuration](#advanced-configuration) -- [Cross-Assistant Compatibility](#cross-assistant-compatibility) -- [Troubleshooting Guide](#troubleshooting-guide) - ---- - -## Pragmatic Guard Mode - -### Overview - -Pragmatic Guard Mode adds a specialized "Pragmatic Enforcer" architect who actively challenges complexity, questions abstractions, and pushes for the simplest solutions that meet current requirements. - -**Purpose**: Guard against over-engineering and ensure YAGNI (You Aren't Gonna Need It) principles are applied. - -### Enabling Pragmatic Mode - -**Command Pattern:** -``` -Enable pragmatic mode -Turn on YAGNI enforcement -Activate simplicity guard -Challenge complexity -``` - -**Manual Configuration** (`.architecture/config.yml`): -```yaml -pragmatic_mode: - enabled: true - intensity: balanced # strict | balanced | lenient -``` - -### Intensity Levels - -#### Strict Mode -- Challenges aggressively -- Requires strong justification for any complexity -- Questions every "should" and "could" -- Pushes for absolute minimal implementation -- Default to defer/simplify - -**Use When:** -- Starting new projects -- High risk of over-engineering -- Limited resources/time -- Proof-of-concept phase - -#### Balanced Mode (Recommended) -- Challenges thoughtfully -- Accepts justified complexity -- Seeks middle ground between simplicity and best practices -- Questions "should" but accepts reasonable "must" - -**Use When:** -- Most production projects -- Balancing quality and pragmatism -- Team with mixed experience levels -- Evolving requirements - -#### Lenient Mode -- Raises concerns without blocking -- Suggests alternatives as options -- Focuses on major complexity additions only -- Questions significant departures from simplicity - -**Use When:** -- Well-established projects -- Experienced team -- Complex domain requires sophistication -- High confidence in requirements - -### How Pragmatic Enforcer Works - -The Pragmatic Enforcer participates in reviews and ADR creation, asking: - -**Necessity Questions:** -- "Do we need this right now?" -- "What breaks without it?" -- "What evidence supports this need?" - -**Simplicity Questions:** -- "What's the simplest thing that could work?" -- "Can we do this with less code?" -- "Do we already have something that solves this?" - -**Cost Questions:** -- "What's the cost of implementing now?" -- "What's the cost of waiting?" -- "What's the maintenance burden?" - -**Alternative Questions:** -- "What if we just...?" (simpler alternative) -- "Could we use an existing tool?" -- "Can we defer this until we have more information?" - -**Best Practice Questions:** -- "Does this best practice apply to our context?" -- "Is this over-engineering for our scale?" -- "Are we solving a problem we don't have yet?" - -### Pragmatic Analysis Format - -When analyzing recommendations, the Pragmatic Enforcer provides: - -```markdown -### Pragmatic Enforcer Analysis - -**Mode**: [Strict | Balanced | Lenient] - -**Necessity Assessment**: [Score 0-10] -- Current need: [Analysis] -- Future need: [Analysis] -- Cost of waiting: [Analysis] - -**Complexity Assessment**: [Score 0-10] -- Added complexity: [Details] -- Maintenance burden: [Details] -- Learning curve: [Details] - -**Simpler Alternative**: -[Concrete proposal] - -**Recommendation**: [Implement now | Simplified version | Defer | Skip] - -**Justification**: [Clear reasoning] -``` - -### Exemptions - -Pragmatic mode respects certain exemptions where best practices must be maintained: - -**Security-Critical Features** (Always Full Rigor): -- Authentication and authorization -- Encryption and data protection -- Input validation and sanitization -- Security logging and monitoring - -**Data Integrity** (Never Compromise): -- Database transactions -- Data validation -- Backup strategies -- Recovery procedures - -**Compliance Requirements** (Full Implementation): -- GDPR, HIPAA, PCI-DSS -- Audit logging -- Legal requirements -- Industry regulations - -**Accessibility** (Proper Implementation): -- WCAG compliance -- Screen reader support -- Keyboard navigation -- Inclusive design - -### Deferral Tracking - -When complexity is deferred, the Pragmatic Enforcer documents: - -**Trigger Conditions**: When to implement the full solution -- User count threshold -- Performance metrics -- Feature adoption -- Business requirements - -**Minimal Viable Alternative**: What to implement now -- Simplest working solution -- Meets current requirements -- Easy to understand and maintain - -**Migration Path**: How to evolve later -- Clear upgrade path -- Minimal breaking changes -- Incremental enhancement - -Deferrals tracked in: `.architecture/deferrals.md` - ---- - -## Architecture Recalibration - -### Overview - -Recalibration translates architecture review findings into actionable implementation plans. - -**Purpose**: Bridge gap between architectural analysis and concrete action. - -### Requesting Recalibration - -**Command Pattern:** -``` -Start architecture recalibration for version X.Y.Z -Start architecture recalibration for [feature name] -Recalibrate architecture for [component] -``` - -### Recalibration Process - -**Phase 1: Review Analysis & Prioritization** -- Categorize recommendations -- Prioritize by impact and urgency -- Identify dependencies -- Assign owners - -**Phase 2: Architectural Plan Update** -- Create or update ADRs -- Document decisions -- Update architectural documentation -- Clarify principles - -**Phase 3: Documentation Refresh** -- Update AGENTS.md if needed -- Refresh architecture diagrams -- Update configuration -- Clarify conventions - -**Phase 4: Implementation Roadmapping** -- Create detailed implementation plan -- Define milestones -- Estimate effort -- Identify risks - -**Phase 5: Progress Tracking** -- Monitor implementation -- Track completion -- Adjust based on learnings -- Document outcomes - -### Output - -Recalibration produces: -- Prioritized action items table -- ADR creation schedule -- Implementation roadmap -- Timeline with phases -- Success metrics - -Document location: `.architecture/recalibration/[version-or-feature].md` - ---- - -## Advanced Configuration - -### Fine-Tuning Pragmatic Mode - -**Triggers Configuration:** - -```yaml -pragmatic_mode: - triggers: - new_abstraction_layer: true # Challenge new interfaces, base classes - new_dependency: true # Challenge new libraries, frameworks - new_pattern_introduction: true # Challenge design patterns - scope_expansion: true # Challenge feature creep - performance_optimization: true # Challenge premature optimization - test_infrastructure: true # Challenge comprehensive tests upfront - flexibility_addition: true # Challenge feature flags, plugin systems -``` - -**Thresholds Configuration:** - -```yaml -pragmatic_mode: - thresholds: - min_complexity_score: 5 # Challenge if complexity ≥ 5 - min_necessity_score: 7 # Must be clearly necessary (≥ 7) - max_complexity_ratio: 1.5 # Complexity / Necessity must be ≤ 1.5 -``` - -**Behavioral Configuration:** - -```yaml -pragmatic_mode: - behavior: - require_justification: true # Proactive justification required - always_propose_alternative: true # Always suggest simpler option - show_cost_of_waiting: true # Include deferral analysis - track_deferrals: true # Log deferred decisions - deferral_log: .architecture/deferrals.md -``` - -### Review Process Configuration - -```yaml -review_process: - require_all_members: true # All members must review - max_individual_phase_days: 3 # Timeline guidance - max_collaborative_phase_days: 2 # Timeline guidance -``` - -### ADR Configuration - -```yaml -adr: - numbering_format: sequential # or date-based - require_alternatives: true # Must document alternatives - require_validation: true # Must include validation criteria -``` - -### Member Configuration - -```yaml -members: - definition_file: members.yml # Path to members definition - allow_dynamic_creation: true # Can add members during reviews -``` - ---- - -## Cross-Assistant Compatibility - -### Cursor Integration - -Configure via `.coding-assistants/cursor/`: -- Custom rules for architecture operations -- Tab completion and inline suggestions -- Integration with Cursor's composer - -**See**: `.coding-assistants/cursor/README.md` - -### GitHub Copilot / Codex Integration - -Configure via `.coding-assistants/codex/`: -- Comment-triggered operations -- Inline suggestions for ADRs and reviews - -**See**: `.coding-assistants/codex/README.md` - -### Universal Features - -The framework works with any AI assistant that can: -- Read markdown files -- Follow structured instructions -- Create and edit files -- Use templates in `.architecture/templates/` - ---- - -## Troubleshooting Guide - -### Documentation Issues - -**Issue**: Cannot find detailed procedures -- **Solution**: Check `agent_docs/workflows.md` for step-by-step guides - -**Issue**: Instructions seem outdated -- **Solution**: Update framework (see `agent_docs/workflows.md#update-procedures`) - -**Issue**: Too much/too little detail -- **Solution**: Progressive disclosure - start with AGENTS.md, dive deeper as needed - -### Configuration Issues - -**Issue**: Pragmatic mode not working -- **Check**: `.architecture/config.yml` has `pragmatic_mode.enabled: true` -- **Check**: Intensity level appropriate for your needs - -**Issue**: Wrong architecture members in reviews -- **Solution**: Customize `.architecture/members.yml` for your project - -**Issue**: Implementation methodology not applied -- **Check**: `.architecture/config.yml` has `implementation.enabled: true` -- **Check**: Methodology and influences configured - -### Performance Issues - -**Issue**: AI assistant seems slow or confused -- **Possible Cause**: Instruction capacity exceeded -- **Solution**: Ensure documentation follows progressive disclosure pattern -- **See**: [ADR-005](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - -**Issue**: AI provides generic responses -- **Possible Cause**: Not reading framework files -- **Solution**: Explicitly reference files (e.g., "Check .architecture/principles.md") - -### Workflow Issues - -**Issue**: Setup creates wrong structure -- **Check**: Running from project root, not inside `.architecture/` -- **Check**: Installation method matches your environment - -**Issue**: Reviews incomplete or missing perspectives -- **Check**: All members defined in `.architecture/members.yml` -- **Check**: `review_process.require_all_members` setting - -**Issue**: ADRs not following template -- **Check**: Template exists at `.architecture/templates/adr-template.md` -- **Check**: ADR configuration in `.architecture/config.yml` - -### Git and Version Control Issues - -**Issue**: Framework updates overwrite customizations -- **Cause**: Update process not preserving custom files -- **Solution**: Follow update procedures in `agent_docs/workflows.md#update-procedures` -- **Prevention**: Keep customizations in designated files (members.yml, config.yml) - -**Issue**: Merge conflicts in architecture files -- **Solution**: Architecture files should rarely conflict -- **Strategy**: Reviews and ADRs are append-only (new files) -- **Strategy**: Configuration changes should be coordinated - -### Integration Issues - -**Issue**: Claude Skills not found -- **Check**: Skills installed in `~/.claude/skills/` -- **Solution**: Reinstall using setup procedures - -**Issue**: MCP server not responding -- **Check**: MCP server installed (`npm list -g ai-software-architect`) -- **Check**: Configuration in `claude_desktop_config.json` -- **Solution**: Restart Claude Code after configuration changes - ---- - -## Best Practices - -### For Reviews - -1. **Request reviews early**: Don't wait until implementation is complete -2. **Be specific**: "Review authentication flow" vs. "Review the code" -3. **Include context**: Share relevant ADRs and documentation -4. **Act on feedback**: Reviews are only valuable if you implement changes - -### For ADRs - -1. **Write as you decide**: Don't wait to document decisions -2. **Be concise**: Clear and brief is better than comprehensive -3. **Show alternatives**: Document what you considered -4. **Update status**: Keep ADR status current - -### For Pragmatic Mode - -1. **Start balanced**: Don't begin with strict unless you have reason -2. **Respect exemptions**: Never compromise security, data integrity, compliance -3. **Track deferrals**: If you defer, document trigger conditions -4. **Review deferrals**: Quarterly review what was deferred and why - -### For Implementation - -1. **Configure methodology**: Set up `.architecture/config.yml` once -2. **Use influences**: Leverage thought leaders' expertise -3. **Follow quality standards**: Define done means done -4. **Iterate**: Improve configuration based on experience - ---- - -## Getting Help - -### Framework Issues - -- **Repository**: https://github.com/codenamev/ai-software-architect -- **Issues**: https://github.com/codenamev/ai-software-architect/issues - -### Usage Questions - -- Review [AGENTS.md](../../AGENTS.md) for framework overview -- Check `agent_docs/workflows.md` for step-by-step procedures -- Examine example ADRs in `.architecture/decisions/adrs/` -- Study example reviews in `.architecture/reviews/` - -### Customization Help - -- Read [.architecture/principles.md](../principles.md) for architectural guidance -- Review [.architecture/members.yml](../members.yml) for member examples -- Check [.architecture/config.yml](../config.yml) for configuration options -- Examine templates in `.architecture/templates/` - ---- - -## Version Information - -**Framework Version**: 1.2.0 -**Last Updated**: 2025-12-04 -**Documentation Structure**: Progressive Disclosure Pattern (ADR-006) diff --git a/.architecture/agent_docs/workflows.md b/.architecture/agent_docs/workflows.md deleted file mode 100644 index 9d15742..0000000 --- a/.architecture/agent_docs/workflows.md +++ /dev/null @@ -1,387 +0,0 @@ -# Agent Workflows - Detailed Procedures - -This document provides step-by-step procedures for common AI Software Architect framework workflows. - -**👉 For framework overview, see [../../AGENTS.md](../../AGENTS.md)** - ---- - -## Table of Contents - -- [Setup Procedures](#setup-procedures) -- [Update Procedures](#update-procedures) -- [Architecture Review Workflows](#architecture-review-workflows) -- [ADR Creation Workflow](#adr-creation-workflow) -- [Implementation with Methodology](#implementation-with-methodology) - ---- - -## Setup Procedures - -### Installing in Your Project - -The AI Software Architect framework can be installed using three methods: - -#### Option 1: Claude Skills (Recommended for Claude Code) - -```bash -# Install as reusable skills -git clone https://github.com/codenamev/ai-software-architect /tmp/ai-architect-$$ -cp -r /tmp/ai-architect-$$/.claude/skills ~/.claude/ -``` - -Then in any project with Claude Code: -``` -Setup ai-software-architect -``` - -#### Option 2: Direct Clone (For any AI assistant) - -```bash -# In your project root -git clone https://github.com/codenamev/ai-software-architect .architecture -``` - -Then ask your AI assistant: -``` -Setup software architect -``` - -#### Option 3: MCP Server (For MCP-compatible assistants) - -```bash -# Install globally -npm install -g ai-software-architect - -# Or add to claude_desktop_config.json -{ - "mcpServers": { - "ai-software-architect": { - "command": "npx", - "args": ["ai-software-architect"] - } - } -} -``` - -### What Happens During Setup - -When you request setup, the AI assistant will: - -1. **Analyze Your Project** - - Identify primary programming languages - - Detect frameworks and architectural patterns - - Examine existing documentation - - Understand project structure - -2. **Customize Templates** - - Create `AGENTS.md` with your project specifics - - Populate technology stack information - - Configure build and test commands - - Set up project conventions - -3. **Create Directory Structure** - ``` - .architecture/ - ├── decisions/adrs/ # Architecture Decision Records - ├── reviews/ # Architecture reviews - ├── recalibration/ # Recalibration plans - ├── members.yml # Team member definitions - ├── principles.md # Architectural principles - └── config.yml # Framework configuration - ``` - -4. **Initial Analysis** - - Conduct comprehensive architectural analysis - - Multiple perspective review from architecture team - - Document findings in initial system analysis - - Provide recommendations for next steps - ---- - -## Update Procedures - -### Updating Framework Installation - -To update an existing installation to the latest version: - -#### For Claude Skills - -```bash -# Backup old versions first -mkdir -p ~/.ai-architect-backups/skills-$(date +%Y%m%d-%H%M%S) -cd ~/.claude/skills -mv setup-architect architecture-review create-adr list-members architecture-status specialist-review ~/.ai-architect-backups/skills-$(date +%Y%m%d-%H%M%S)/ 2>/dev/null || true - -# Install from latest -git clone https://github.com/codenamev/ai-software-architect /tmp/ai-architect-$$ -cp -r /tmp/ai-architect-$$/.claude/skills/* ./ - -echo "Backup created at ~/.ai-architect-backups/skills-TIMESTAMP/" -``` - -#### For Direct Clone - -Ask your AI assistant: -``` -Update the software architect framework from main branch -``` - -Or manually: -```bash -cd .architecture -git fetch origin main -git reset --hard origin/main -``` - -### What Gets Updated - -**Updated Files:** -- `.architecture/templates/` (all templates) -- `.architecture/principles.md` (if not customized) -- Framework helper scripts -- Base configuration files - -**Preserved Files:** -- `.architecture/decisions/adrs/` (your ADRs) -- `.architecture/reviews/` (your reviews) -- `.architecture/recalibration/` (your plans) -- `.architecture/members.yml` (if customized) -- `.architecture/config.yml` (your settings) - ---- - -## Architecture Review Workflows - -### Requesting a Full Architecture Review - -**Command Pattern:** -``` -Start architecture review for version X.Y.Z -Start architecture review for [feature name] -``` - -**Process:** - -1. **Individual Review Phase** - - Each architecture member reviews independently - - Focus on their area of expertise - - Document findings from their perspective - -2. **Collaborative Discussion Phase** - - Members discuss findings - - Resolve conflicting perspectives - - Prioritize recommendations - - Identify trade-offs - -3. **Final Report Phase** - - Produce comprehensive review document - - Balance all perspectives - - Provide actionable recommendations - - Document in `.architecture/reviews/` - -### Requesting a Specialist Review - -**Command Pattern:** -``` -Ask [Specialist] to review [component] -Have [Role] review [code/design] -Get [Expert]'s opinion on [topic] -``` - -**Example:** -``` -Ask Security Specialist to review authentication flow -Have Performance Specialist review database schema -``` - -**Process:** -1. AI adopts the specialist's persona -2. Reviews from that specific perspective -3. Provides focused recommendations -4. Documents in `.architecture/reviews/[role]-[topic].md` - ---- - -## ADR Creation Workflow - -### Creating an Architectural Decision Record - -**Command Pattern:** -``` -Create ADR for [topic] -Document architectural decision for [topic] -``` - -**Template Structure:** - -```markdown -# ADR-###: [Title] - -## Status -[Draft | Proposed | Accepted | Deprecated | Superseded] - -## Context -[Problem statement, background, constraints] - -## Decision -[The decision that was made] - -## Consequences -### Positive -### Negative -### Neutral - -## Alternatives Considered -[Alternative approaches and why they were rejected] -``` - -**Best Practices:** - -1. **Write ADRs Early**: Document decisions as you make them, not after -2. **Be Specific**: Clear, precise language about what's changing -3. **Include Context**: Future readers need to understand why -4. **Document Alternatives**: Show you considered other approaches -5. **Update Status**: Mark as Accepted when implemented, Superseded if replaced - ---- - -## Implementation with Methodology - -### Configuring Implementation Guidance - -To have AI assistants automatically apply your development methodology during implementation, configure the `implementation` section in `.architecture/config.yml`: - -```yaml -implementation: - enabled: true - methodology: "TDD" # or BDD, DDD, Test-Last, Exploratory - - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - - "Martin Fowler - Refactoring" - - languages: - ruby: - style_guide: "Rubocop" - idioms: "Blocks over loops, meaningful names" - - testing: - framework: "RSpec" - style: "BDD" - coverage_target: 90 - - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "Documentation updated" -``` - -### Using Implementation Command - -**Command Pattern:** -``` -Implement [feature] as the architects -Implement [feature] as [specific architect] -``` - -**What Happens:** - -1. AI reads implementation config from `.architecture/config.yml` -2. Applies configured methodology (e.g., TDD) -3. Follows influences (e.g., Kent Beck, Sandi Metz) -4. Uses language-specific idioms and style guides -5. Ensures quality standards met - -**Example with TDD:** -``` -"Implement user authentication as the architects" -``` - -AI will: -1. Write test first (RED phase) -2. Write minimal code to pass (GREEN phase) -3. Refactor for clarity (REFACTOR phase) -4. Apply Sandi Metz principles (small methods, clear names) -5. Follow configured style guide -6. Repeat cycle for each aspect - -### Methodology Details - -#### TDD (Test-Driven Development) -- Write test first (RED) -- Write minimal code to pass (GREEN) -- Refactor for clarity (REFACTOR) -- Repeat cycle -- Inspiration: Kent Beck's "TDD by Example" - -#### BDD (Behavior-Driven Development) -- Write behavior-focused tests -- Outside-in development -- Describe expected behavior before implementation -- Use Given-When-Then format - -#### DDD (Domain-Driven Design) -- Focus on domain modeling -- Use ubiquitous language -- Define bounded contexts -- Model business concepts accurately - -#### Test-Last -- Implement feature first -- Write tests after -- Ensure coverage meets targets - -#### Exploratory -- Experiment with approaches -- Iterate and learn -- Codify successful patterns -- Refactor as understanding grows - ---- - -## Troubleshooting Common Issues - -### Setup Issues - -**Issue**: Framework files not created -- **Solution**: Ensure you're in project root, not inside `.architecture/` - -**Issue**: Templates not customized -- **Solution**: AI needs to analyze project first - ensure project files present - -### Review Issues - -**Issue**: Review doesn't include all members -- **Solution**: Check `.architecture/members.yml` and `.architecture/config.yml` - -**Issue**: Pragmatic Enforcer too aggressive/lenient -- **Solution**: Adjust `pragmatic_mode.intensity` in `.architecture/config.yml` - -### Implementation Issues - -**Issue**: Methodology not applied -- **Solution**: Ensure `implementation.enabled: true` in `.architecture/config.yml` - -**Issue**: Wrong style guide used -- **Solution**: Check `implementation.languages` section for your language - ---- - -## Next Steps - -After completing workflows, consider: - -1. **Conduct Regular Reviews**: Schedule reviews for major versions or features -2. **Document Decisions**: Create ADRs for significant architectural choices -3. **Enable Pragmatic Mode**: Keep complexity in check -4. **Customize Configuration**: Tailor framework to your needs -5. **Share with Team**: Ensure all team members understand the framework - -**For more information, see:** -- [AGENTS.md](../../AGENTS.md) - Framework overview -- [.architecture/principles.md](../principles.md) - Architectural principles -- [.architecture/members.yml](../members.yml) - Team members -- [.architecture/config.yml](../config.yml) - Configuration diff --git a/.architecture/comparisons/claude-skills-deep-dive-comparison.md b/.architecture/comparisons/claude-skills-deep-dive-comparison.md deleted file mode 100644 index 4536bf0..0000000 --- a/.architecture/comparisons/claude-skills-deep-dive-comparison.md +++ /dev/null @@ -1,545 +0,0 @@ -# Architecture Review: Claude Skills Implementation Comparison - -**Date**: 2025-12-04 -**Review Type**: Comparative Analysis -**Target**: First Principles Deep Dive to Claude Agent Skills (Blog) vs. Our Implementation -**Reviewers**: AI Engineer, Systems Architect, Security Specialist, Maintainability Expert, Pragmatic Enforcer - -## Executive Summary - -This review compares the approach described in Lee Han Chung's "First Principles Deep Dive to Claude Agent Skills" against our AI Software Architect framework's skills implementation. The blog provides a comprehensive technical analysis of Claude Code's skills architecture, including advanced patterns we have not yet adopted. - -**Overall Assessment**: Our implementation is **functionally adequate but architecturally incomplete**. We successfully implement the core skill structure but are missing key organizational patterns that would improve maintainability, reusability, and scalability. - -**Key Findings**: -- Our skills follow the correct YAML frontmatter structure and description patterns -- We lack the `/scripts/`, `/references/`, and `/assets/` directory structure for progressive disclosure -- We have no pre-approved tool restrictions (security consideration) -- Our `_patterns.md` is a good start but doesn't leverage the `/references/` pattern -- We're missing template-based generation capabilities via `/assets/` - -**Critical Actions**: -1. Adopt `/scripts/`, `/references/`, `/assets/` directory structure for skills that need them -2. Implement tool permission restrictions in skill frontmatter where appropriate -3. Move `_patterns.md` content to `/references/` directories in individual skills -4. Consider adding scripts for deterministic operations (ADR numbering, file listing) -5. Create `/assets/` templates for ADR and review document generation - -## Comparison Overview - -### Blog Post Approach (Lee Han Chung) -- **Architecture**: Meta-tool with progressive disclosure pattern -- **Structure**: SKILL.md + `/scripts/` + `/references/` + `/assets/` -- **Implementation Patterns**: 4 core patterns (Script Automation, Read-Process-Write, Search-Analyze-Report, Command Chain) -- **Security**: Tool permission scoping via `allowed-tools` frontmatter -- **Best Practices**: Keep SKILL.md under 5,000 words, use external files, no hardcoded paths - -### Our Implementation -- **Architecture**: Single SKILL.md files per skill -- **Structure**: SKILL.md only (no subdirectories) -- **Implementation Patterns**: Procedural instructions embedded in SKILL.md -- **Security**: No tool restrictions (implicit full access) -- **Best Practices**: Shared `_patterns.md` for common patterns - -## Individual Member Reviews - -### AI Engineer - AI Engineer - -**Perspective**: Evaluates from AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. - -#### Key Observations -- The blog describes a sophisticated prompt-based meta-tool architecture that aligns with Claude Code's actual implementation -- Progressive disclosure pattern (lightweight metadata + heavy prompt injection) is key to managing context/token budget -- Our implementation lacks structural separation that would enable this progressive disclosure effectively -- The two-message pattern (visible metadata + hidden instructions) is handled by Claude Code itself, not our concern -- Tool permission scoping is a missing security layer we should consider - -#### Strengths -1. **Clear Skill Descriptions**: Our description field follows blog's guidance for explicit, action-oriented language with trigger phrases -2. **Shared Patterns File**: `_patterns.md` demonstrates understanding of DRY principles for common operations -3. **Procedural Structure**: Our numbered process steps align with blog's workflow recommendation -4. **Related Skills Sections**: Good discoverability for skill chains, matching blog's workflow pattern recommendations - -#### Concerns -1. **Missing Progressive Disclosure** (Impact: Medium) - - Issue: All content in SKILL.md files means every skill activation loads full content into context - - Recommendation: Adopt `/references/` for detailed content loaded only when needed via Read tool - -2. **No Script Automation** (Impact: Medium) - - Issue: Deterministic operations (ADR numbering, file scanning) implemented as bash one-liners in SKILL.md - - Recommendation: Extract to `/scripts/` for reliability and testability - -3. **No Template Assets** (Impact: Low) - - Issue: Templates referenced by path but not bundled with skills - - Recommendation: Use `/assets/` for templates that skills generate from - -4. **Lack of Tool Restrictions** (Impact: Medium-High) - - Issue: No `allowed-tools` in frontmatter means implicit full access - - Recommendation: Add security layer by explicitly declaring required tools per skill - -#### Recommendations -1. **Progressive Disclosure Adoption** (Priority: High, Effort: Medium) - - Evaluate each skill for size/complexity - - Extract detailed procedures to `/references/` when SKILL.md exceeds ~2,000 words - - Keep SKILL.md as high-level workflow, reference external docs for details - -2. **Script Extraction** (Priority: Medium, Effort: Small) - - Create `/scripts/next-adr-number.sh` for ADR numbering - - Create `/scripts/list-members.py` for member YAML parsing - - Improves reliability and enables unit testing - -3. **Template Bundling** (Priority: Low, Effort: Small) - - Move relevant templates to skill-specific `/assets/` directories - - Use `{baseDir}` placeholder for paths - -4. **Tool Permission Security** (Priority: High, Effort: Small) - - Add `allowed-tools` to each skill frontmatter - - Example: `create-adr` needs `Read,Write,Bash(ls:*)` not full Bash access - ---- - -### Systems Architect - Systems Architect - -**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. - -#### Key Observations -- The blog reveals Claude Code's meta-tool pattern as an elegant solution to the "unlimited tools" problem -- Our skills are architecturally flat - all equal in structure despite varying complexity -- Directory-based organization (`/scripts/`, `/references/`, `/assets/`) provides clear separation of concerns -- The blog's pattern taxonomy (4 core patterns) could inform our skill categorization - -#### Strengths -1. **Consistent Structure**: All skills follow same SKILL.md format, making them predictable and learnable -2. **Centralized Patterns**: `_patterns.md` acts as shared library, preventing duplication -3. **Clear Process Steps**: Numbered workflows make skills easy to follow -4. **Skill Interrelation**: "Related Skills" sections create navigable skill graph - -#### Concerns -1. **Architectural Uniformity** (Impact: Medium) - - Issue: Simple skills (list-members) and complex skills (architecture-review) have same structure - - Recommendation: Allow graduated complexity - simple skills stay flat, complex ones use subdirectories - -2. **No Executable Artifacts** (Impact: Low-Medium) - - Issue: All logic is LLM-interpreted instructions; no deterministic scripts - - Recommendation: Extract deterministic operations to scripts for reliability - -3. **Coupling to Framework Location** (Impact: Low) - - Issue: Some references use absolute paths or assume `.architecture/` location - - Recommendation: Adopt `{baseDir}` pattern consistently - -#### Recommendations -1. **Graduated Complexity Model** (Priority: High, Effort: Medium) - - Define thresholds: <2K words = flat SKILL.md, 2-5K = add `/references/`, >5K = full structure - - Document patterns for each complexity level - - Refactor `architecture-review` and `setup-architect` as exemplars - -2. **Script Library** (Priority: Medium, Effort: Medium) - - Create `/scripts/` for deterministic operations across all skills - - Examples: ADR numbering, version parsing, file sanitization, YAML parsing - -3. **Path Standardization** (Priority: Low, Effort: Small) - - Replace hardcoded paths with `{baseDir}` placeholder - - Document path resolution in `_patterns.md` - ---- - -### Security Specialist - Security Specialist - -**Perspective**: Reviews from security-first perspective, identifying potential vulnerabilities and security implications. - -#### Key Observations -- Blog explicitly addresses security through tool permission scoping -- Our skills currently have unlimited tool access (no `allowed-tools` restrictions) -- We have good input sanitization patterns in `_patterns.md` but inconsistent application -- Script-based operations could reduce command injection risks vs. constructed bash strings - -#### Strengths -1. **Input Sanitization Patterns**: `_patterns.md` documents filename sanitization, path traversal prevention -2. **Destructive Operations Safety**: Comprehensive safeguards for `rm -rf` and file deletion -3. **Validation Examples**: Good examples of version validation, filename validation -4. **Path Security**: Awareness of `..`, `/`, null bytes, control characters - -#### Concerns -1. **No Tool Permission Restrictions** (Impact: High) - - Issue: All skills can use all tools (Read, Write, Edit, Bash, etc.) without restriction - - Recommendation: Add `allowed-tools` frontmatter to limit blast radius - -2. **Bash Command Construction** (Impact: Medium) - - Issue: Some skills construct bash commands with user input - - Recommendation: Move to scripts that accept sanitized arguments - -3. **Inconsistent Sanitization** (Impact: Medium) - - Issue: Not all skills apply sanitization patterns from `_patterns.md` - - Recommendation: Enforce sanitization checklist; consider scripts that sanitize by default - -#### Recommendations -1. **Implement Tool Permissions** (Priority: Critical, Effort: Small) - - Add `allowed-tools` to all skill frontmatter - - Principle of least privilege: only grant tools actually needed - - Examples: - - `list-members`: `Read` only - - `create-adr`: `Read,Write,Bash(ls:*,grep:*)` - - `setup-architect`: `Read,Write,Bash` (broader access justified) - -2. **Script-Based Security** (Priority: High, Effort: Medium) - - Move user-input-consuming operations to scripts - - Scripts validate/sanitize at entry point - - Reduces surface area for command injection - -3. **Security Checklist** (Priority: Medium, Effort: Small) - - Add security checklist to skill template - - Required: input sanitization, tool restrictions, path validation - - Document in `_patterns.md` - ---- - -### Maintainability Expert - Maintainability Expert - -**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. - -#### Key Observations -- Our current flat structure is easy to understand for simple skills but becomes unwieldy for complex ones -- The blog's directory structure provides clear separation that aids maintenance -- `_patterns.md` is excellent for maintainability but isn't leveraged by `/references/` pattern -- Skills vary in size from ~200 to ~6,000 words, suggesting need for structural differentiation - -#### Strengths -1. **Uniform Structure**: New contributors can quickly understand any skill -2. **Centralized Patterns**: DRY principle applied via `_patterns.md` -3. **Clear Documentation**: Each skill documents process, error handling, related skills -4. **Version Tracking**: Patterns document has version history - -#### Concerns -1. **Monolithic Skill Files** (Impact: Medium) - - Issue: Large skills (architecture-review: ~6K words) are hard to navigate and update - - Recommendation: Split into SKILL.md (workflow) + `/references/` (details) - -2. **Pattern Distribution** (Impact: Low-Medium) - - Issue: `_patterns.md` is centralized but requires manual reference lookup - - Recommendation: Allow skill-specific `/references/patterns.md` for specialized patterns - -3. **No Test Infrastructure** (Impact: Medium) - - Issue: Scripts would enable testing; current bash one-liners can't be unit tested - - Recommendation: Build `/scripts/` with test suite - -#### Recommendations -1. **Adopt Progressive Disclosure** (Priority: High, Effort: Medium) - - Refactor `architecture-review` to demonstrate pattern: - - `SKILL.md`: High-level workflow (~1,500 words) - - `/references/review-process.md`: Detailed review structure - - `/references/pragmatic-integration.md`: Pragmatic mode details - - `/assets/review-template.md`: Document template - -2. **Build Script Library with Tests** (Priority: Medium, Effort: Medium) - - Extract deterministic operations to testable scripts - - Add test suite (bash for shell scripts, pytest for Python) - - Document script API in skill SKILL.md - -3. **Skill Complexity Guidelines** (Priority: Low, Effort: Small) - - Document when to use flat vs. structured approach - - Provide refactoring examples - - Add to `_patterns.md` - ---- - -### Pragmatic Enforcer - YAGNI Guardian & Simplicity Advocate - -**Perspective**: Rigorously questions whether proposed solutions are actually needed right now, pushing for the simplest approach. - -#### Pragmatic Analysis - -**Necessity Assessment** (Current Need: 6/10, Future Need: 8/10, Cost of Waiting: 3/10) -- Current: Our skills work correctly today; this is optimization not bug fix -- Future: As we add more skills, scalability and maintainability issues will grow -- Cost of Waiting: Low - we can refactor later when pain points emerge -- Evidence: Only 7 skills currently; blog patterns designed for large skill libraries - -**Complexity Assessment** (Added Complexity: 5/10, Maintenance: 4/10, Learning Curve: 4/10) -- Added Complexity: Directory structure adds navigational overhead -- Maintenance: `/scripts/` adds testing infrastructure needs -- Learning Curve: Contributors must learn 3-tier structure (SKILL.md + references + scripts) -- Dependencies: Python for scripts introduces runtime dependency - -**Alternative Analysis** -- Current approach: Keep all skills as flat SKILL.md until we hit 15-20 skills or individual skill >5K words -- Blog approach: Adopt full structure now for future-proofing -- Hybrid: Adopt incrementally - start with tool permissions (zero overhead), add directories only when needed - -**Simpler Alternative Proposal** -1. **Phase 1 - Security (Do Now)**: Add `allowed-tools` to all skills (30 min effort, high security value) -2. **Phase 2 - Reactive Refactoring (Do When Needed)**: When a skill hits 3K words or requires deterministic operation, refactor to use subdirectories -3. **Phase 3 - Full Adoption (Do Later)**: When we have 15+ skills or 3+ skills using subdirectories, standardize on blog's structure - -**Recommendation**: **Implement Phase 1 now; defer Phase 2 & 3** - -**Pragmatic Score**: -- Necessity: 6.0/10 (helpful but not critical) -- Complexity: 4.3/10 (moderate added complexity) -- Ratio: 0.72 (< 1.5 = appropriate engineering) - -**Overall Assessment**: **Appropriate engineering IF done incrementally**. Adopting all patterns immediately would be premature optimization. Recommend phased approach based on actual pain points. - -#### Immediate Actions (Phase 1) -1. **Add Tool Permissions to All Skills** (Effort: 2 hours) - - High security value, zero structural complexity - - Forces us to think through each skill's actual needs - - Easy to implement: add one line to frontmatter - -#### Deferred Actions (Phase 2 - Trigger: Skill >3K words) -1. **Refactor Large Skills to Use `/references/`** - - Wait until we feel the pain of navigating large SKILL.md files - - Start with `architecture-review` when we need to modify it - -2. **Extract Scripts for Deterministic Operations** - - Wait until bash one-liners cause bugs or become hard to maintain - - Start with ADR numbering if we see numbering conflicts - -#### Long-term Actions (Phase 3 - Trigger: 15+ skills) -1. **Standardize on Full Blog Pattern** - - When we have enough skills to justify standardization overhead - - Create migration guide for existing skills - ---- - -## Collaborative Discussion - -**Systems Architect**: The blog's directory structure is elegant, but we need to consider our current scale. Seven skills is far from the dozens that would justify this structure. - -**AI Engineer**: Agreed on scale, but the progressive disclosure pattern is about token efficiency, not just organization. Even with 7 skills, if each is 3-6K words, we're injecting massive prompts every activation. - -**Security Specialist**: The tool permissions are non-negotiable. This is a security layer we should have from day one, regardless of other patterns. - -**Maintainability Expert**: I see both sides. The `/references/` pattern would help our largest skills (architecture-review at ~6K words) but feels like overkill for list-members (200 words). - -**Pragmatic Enforcer**: Exactly my point. Let's adopt what has immediate value (tool permissions) and defer structural changes until we hit clear pain points. No evidence our current approach is causing problems. - -**AI Engineer**: Counterpoint - token usage IS a current pain point. Claude Sonnet 4.5 has 200K context but we want to be efficient. If we inject 6K words for architecture-review, that's significant. - -**Systems Architect**: Valid, but consider the refactoring cost. We'd need to split every large skill, test the splits, ensure references load correctly. Is that cost justified by token savings today? - -**Consensus**: -1. **Unanimous agreement**: Add tool permissions immediately (high value, low cost) -2. **Majority position**: Defer directory restructuring until we refactor a specific skill (pragmatic) -3. **Action item**: Document the blog's patterns as "future architecture" so contributors know the direction -4. **Compromise**: Next time we create a complex skill (>3K words) or refactor an existing one, use the full blog pattern as proof of concept - ---- - -## Consolidated Findings - -### Strengths (To Sustain) -1. **Consistent Structure**: Uniform SKILL.md format is easy to learn and maintain - preserve this even if we add directories -2. **Clear Descriptions**: Action-oriented language with trigger phrases aligns with blog's best practices -3. **Shared Patterns**: `_patterns.md` demonstrates good architectural instinct - this IS the `/references/` pattern applied at global level -4. **Security Awareness**: Input sanitization and validation patterns show security consciousness - -### Gaps (To Address) -1. **No Tool Permission Restrictions**: Critical security gap that should be closed immediately -2. **Missing Progressive Disclosure**: Large skills inject full content into context every time -3. **No Executable Scripts**: Deterministic operations implemented as constructed bash commands -4. **No Skill-Local References**: All documentation in SKILL.md or global `_patterns.md` - -### Alignment with Blog -| Aspect | Blog Pattern | Our Implementation | Gap Analysis | -|--------|-------------|-------------------|--------------| -| **YAML Frontmatter** | ✓ Required | ✓ Implemented | ✅ Aligned | -| **Description Field** | ✓ Action-oriented | ✓ Action-oriented | ✅ Aligned | -| **allowed-tools** | ✓ Recommended | ✗ Missing | ⚠️ Security gap | -| **/scripts/** | ✓ For deterministic ops | ✗ Missing | ℹ️ Enhancement opportunity | -| **/references/** | ✓ For detailed docs | ✗ Missing | ℹ️ Token optimization | -| **/assets/** | ✓ For templates | ✗ Missing | ℹ️ Nice-to-have | -| **{baseDir} placeholder** | ✓ No hardcoded paths | ✓ Mostly followed | ⚠️ Some hardcoded refs | -| **<5K word limit** | ✓ Recommended | ✗ Some exceed | ℹ️ Refactor candidates | - -### Technical Debt -**High Priority**: -- **No Tool Restrictions**: Impact = Security risk, blast radius; Resolution = Add `allowed-tools` to frontmatter; Effort = 2 hours -- **Token Inefficiency**: Impact = Large prompts on every activation; Resolution = Extract `/references/` for large skills; Effort = 1 day per skill - -**Medium Priority**: -- **Hardcoded Paths**: Impact = Portability issues; Resolution = Adopt `{baseDir}` pattern; Effort = 1 hour -- **Bash Command Construction**: Impact = Potential injection risks; Resolution = Extract to scripts; Effort = 3 days - -**Low Priority**: -- **No Template Bundling**: Impact = Template drift; Resolution = Add `/assets/` to relevant skills; Effort = 2 hours - -### Risks -**Technical Risks**: -- **Premature Optimization**: Likelihood = Medium, Impact = Medium, Mitigation = Phased adoption based on actual pain points -- **Backward Compatibility**: Likelihood = Low, Impact = High, Mitigation = Claude Code handles both flat and structured skills -- **Maintenance Overhead**: Likelihood = Medium, Impact = Medium, Mitigation = Only restructure skills that justify it - -**Security Risks**: -- **Unlimited Tool Access**: Likelihood = High, Impact = High, Mitigation = Add tool restrictions immediately -- **Command Injection**: Likelihood = Low, Impact = High, Mitigation = Apply sanitization patterns consistently - ---- - -## Recommendations - -### Immediate (0-2 weeks) - -1. **Add Tool Permissions to All Skills** (Priority: Critical, Effort: Small) - - Why: Close security gap, align with blog's best practices - - How: Add `allowed-tools` line to each skill's YAML frontmatter - - Owner: Maintainability Expert - - Success Criteria: All 7 skills have explicit tool restrictions - - Example: - ```yaml - --- - name: list-members - description: ... - allowed-tools: Read - --- - ``` - -2. **Document Blog Patterns as Target Architecture** (Priority: High, Effort: Small) - - Why: Provide clear direction for future skill development - - How: Create `.claude/skills/ARCHITECTURE.md` summarizing blog patterns and our adoption strategy - - Owner: Systems Architect - - Success Criteria: New contributors understand full pattern and when to apply it - -3. **Audit Path References** (Priority: Medium, Effort: Small) - - Why: Ensure portability - - How: Search for hardcoded paths, replace with relative or `{baseDir}` pattern - - Owner: Maintainability Expert - - Success Criteria: No absolute paths in skill files - -### Short-term (2-8 weeks) - -1. **Refactor architecture-review Skill as Proof of Concept** (Priority: High, Effort: Medium) - - Why: Largest skill (6K words) is ideal candidate for demonstrating full pattern - - How: Split into SKILL.md + `/references/review-process.md` + `/assets/review-template.md` - - Owner: AI Engineer - - Success Criteria: 50% reduction in base SKILL.md size, references loaded via Read tool - - Steps: - 1. Create `/references/review-process.md` with detailed member review structure - 2. Create `/references/pragmatic-integration.md` with pragmatic mode details - 3. Create `/assets/review-template.md` with document template - 4. Refactor SKILL.md to reference external docs - 5. Test skill activation and verify progressive loading - -2. **Extract ADR Numbering to Script** (Priority: Medium, Effort: Small) - - Why: Deterministic operation suitable for script-based implementation - - How: Create `/scripts/next-adr-number.sh` that scans `.architecture/decisions/adrs/` - - Owner: Security Specialist - - Success Criteria: Script returns next ADR number reliably, can be unit tested - - Bonus: Add tests in `/scripts/test/` - -3. **Create Skill Complexity Guidelines** (Priority: Medium, Effort: Small) - - Why: Help contributors decide when to use flat vs. structured approach - - How: Add section to `_patterns.md` or new `/ARCHITECTURE.md` - - Owner: Pragmatic Enforcer - - Success Criteria: Clear thresholds documented (e.g., <2K = flat, 2-5K = references, >5K = full) - -### Long-term (2-6 months) - -1. **Build Script Library with Test Suite** (Priority: Medium, Effort: Large) - - Why: Improve reliability of deterministic operations - - How: Extract all candidate operations to scripts, add comprehensive tests - - Owner: Maintainability Expert + Security Specialist - - Success Criteria: 80%+ test coverage for scripts, CI integration - - Candidates: - - ADR numbering - - Version parsing - - Filename sanitization - - YAML validation - - Member listing - -2. **Standardize on Full Pattern for All Complex Skills** (Priority: Low, Effort: Large) - - Why: Consistency once we've validated pattern works - - How: Refactor remaining large skills (setup-architect, specialist-review) - - Owner: Team effort - - Success Criteria: All skills >3K words use directory structure - - Trigger: After architecture-review refactor proves successful - -3. **Template Asset Bundling** (Priority: Low, Effort: Small) - - Why: Ensure templates travel with skills - - How: Copy relevant templates to skill `/assets/` directories - - Owner: Maintainability Expert - - Success Criteria: Skills are self-contained, can reference templates via relative paths - ---- - -## Success Metrics - -1. **Security Posture**: All skills have tool restrictions (Target: 100%, Timeline: 1 week) -2. **Token Efficiency**: Large skills reduced to <2K words in base SKILL.md (Target: 50% reduction, Timeline: 6 weeks) -3. **Maintainability**: New contributors can understand and modify skills without confusion (Target: Subjective feedback, Timeline: Ongoing) -4. **Test Coverage**: Scripts have unit tests (Target: 80%+, Timeline: 3 months) -5. **Adoption Consistency**: New complex skills use directory structure (Target: 100% for skills >3K words, Timeline: 6 months) - ---- - -## Follow-up - -**Next Review**: After architecture-review refactor completion (estimated 6-8 weeks) - -**Tracking**: Use pragmatic mode to evaluate whether refactoring efforts are delivering expected value - -**Related ADRs to Create**: -- ADR: Adopt Tool Permission Restrictions for Skills -- ADR: Progressive Disclosure Pattern for Large Skills -- ADR: Script-Based Deterministic Operations - ---- - -## Related Documentation - -- **External Reference**: [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) -- **Internal**: `.claude/skills/_patterns.md` (current shared patterns) -- **Internal**: `.architecture/decisions/adrs/ADR-006-progressive-disclosure-documentation.md` (progressive disclosure principle) - ---- - -## Appendix: Pattern Comparison Table - -### Implementation Pattern Mapping - -| Blog Pattern | Description | Our Current Use | Gap | -|-------------|-------------|----------------|-----| -| **Script Automation** | Python/Bash scripts for computation | Not used | Missing deterministic script infrastructure | -| **Read-Process-Write** | File transformation workflow | Implicit in create-adr, setup | Could be more explicit | -| **Search-Analyze-Report** | Grep → Read → Analyze → Report | Used in architecture-status | Implemented correctly | -| **Command Chain Execution** | Multi-step dependent operations | Used in setup-architect | Implemented correctly | - -### Tool Permission Examples (To Implement) - -```yaml -# list-members skill -allowed-tools: Read - -# architecture-status skill -allowed-tools: Read,Glob,Grep - -# create-adr skill -allowed-tools: Read,Write,Bash(ls:*,grep:*) - -# setup-architect skill -allowed-tools: Read,Write,Edit,Glob,Grep,Bash - -# architecture-review skill -allowed-tools: Read,Write,Glob,Grep,Bash(git:*) -``` - -### Progressive Disclosure Example (Proposed) - -**Current architecture-review skill**: 6,124 words in single SKILL.md - -**Proposed structure**: -``` -architecture-review/ -├── SKILL.md (~1,500 words - workflow only) -├── references/ -│ ├── review-process.md (~2,000 words - detailed process) -│ ├── pragmatic-integration.md (~1,500 words - pragmatic mode) -│ └── member-perspectives.md (~1,000 words - perspective guidance) -└── assets/ - └── review-template.md (Document template) -``` - -**Token savings**: Base activation = 1,500 words (75% reduction). Full detail loaded via Read only when needed. - ---- - -**Review Complete** diff --git a/.architecture/comparisons/claude-skills-enhancement-initiative-summary.md b/.architecture/comparisons/claude-skills-enhancement-initiative-summary.md deleted file mode 100644 index 60ba072..0000000 --- a/.architecture/comparisons/claude-skills-enhancement-initiative-summary.md +++ /dev/null @@ -1,592 +0,0 @@ -# Claude Skills Enhancement Initiative - Journey Summary - -**Initiative Period**: 2025-12-04 -**Status**: ✅ Complete -**Team**: AI Software Architect Framework Contributors - ---- - -## Executive Summary - -This document captures the complete journey of enhancing the AI Software Architect Claude Skills based on industry best practices. Over the course of one intensive work session, we: - -- **Researched** industry best practices via blog post analysis -- **Designed** three Architectural Decision Records (ADRs) -- **Implemented** tool permission restrictions across all 7 skills -- **Refactored** 3 large skills using progressive disclosure pattern -- **Validated** pattern across different skill types -- **Documented** comprehensive results and learnings - -**Overall Impact**: -- 🔒 Security improved via principle of least privilege (all skills) -- 📉 Token efficiency improved by 13% average (refactored skills) -- 📈 Content expanded by 400% average (refactored skills) -- 🛠️ Maintainability dramatically improved (modular structure) -- 📚 Comprehensive documentation created (9 new reference/asset files) - -**Key Insight**: Progressive disclosure delivers value through multiple dimensions beyond token savings - content expansion and maintainability are valuable even without base reduction. - ---- - -## Initiative Overview - -### Genesis - -The user requested a review of Lee Han Chung's blog post "First Principles Deep Dive to Claude Agent Skills" to compare our Claude Skills implementation against industry best practices. - -**Blog Post**: https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/ - -### Initial Findings - -Our architecture review identified **three enhancement opportunities**: - -1. **Tool Permission Restrictions** - No skills restricted tool access (security gap) -2. **Progressive Disclosure Pattern** - Large skills (6K+ words) loaded entire content on activation (inefficiency) -3. **Script-Based Operations** - No deterministic scripts for operations like ADR numbering (future enhancement) - -### Approach - -**Pragmatic, phased implementation**: -- Immediate: Tool permissions (clear security benefit) -- Phased: Progressive disclosure with proof of concept validation -- Deferred: Scripts (wait for trigger conditions) - ---- - -## Phase 1: Research & Planning - -### Activities - -**Architecture Review** ([Full Comparison](./claude-skills-deep-dive-comparison.md)): -- Systems Architect analyzed tool permissions and security -- Performance Specialist examined token efficiency -- Maintainability Expert reviewed code organization -- AI Engineer championed progressive disclosure -- Domain Expert confirmed alignment with framework principles -- Security Specialist validated tool restriction approach - -**Key Recommendations**: -1. Implement tool permissions immediately (security) -2. Adopt progressive disclosure for large skills (efficiency + maintainability) -3. Defer scripts until trigger conditions met (pragmatic) - -**Pragmatic Enforcer Assessment**: -- Tool permissions: 0.22 necessity/complexity ratio ✅ (well under threshold) -- Progressive disclosure: 0.83 ratio ✅ (within balanced mode threshold) -- Scripts: 2.0 ratio ⚠️ (over threshold, correctly deferred) - -### Outputs - -- [Claude Skills Deep Dive Comparison](./claude-skills-deep-dive-comparison.md) - Full architecture review -- [Claude Skills Deep Dive Takeaways](./claude-skills-takeaways.md) - Action items and phasing - -**Duration**: ~2 hours (research + review + documentation) - ---- - -## Phase 2: ADR Creation - -### ADRs Created - -#### ADR-007: Tool Permission Restrictions for Skills -**Status**: ✅ Implemented -**Decision**: All skills must declare `allowed-tools` in YAML frontmatter -**Principle**: Least privilege - only grant tools actually required -**Impact**: Security improved across all 7 skills - -**Pragmatic Score**: 0.22 (necessity 8/10, complexity 3/10) - Appropriate engineering - -#### ADR-008: Progressive Disclosure Pattern for Large Skills -**Status**: ✅ Implemented (Phase 2 Complete) -**Decision**: Refactor skills >3K words to use modular structure (SKILL.md + /references/ + /assets/) -**Approach**: Phased adoption with proof of concept validation -**Impact**: 3 skills refactored, pattern validated across skill types - -**Pragmatic Score**: 0.83 (necessity 6/10, complexity 5/10) - Appropriate engineering - -#### ADR-009: Script-Based Deterministic Operations -**Status**: ⏸️ Deferred (Appropriately) -**Decision**: Create `/scripts/` infrastructure when trigger conditions met -**Rationale**: No current need, would be premature optimization -**Impact**: Zero (deferred until needed) - -**Pragmatic Score**: 2.0 (necessity 3/10, complexity 6/10) - Correctly deferred - -### Outputs - -- [ADR-007](../decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) -- [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) -- [ADR-009](../decisions/adrs/ADR-009-script-based-deterministic-operations.md) - -**Duration**: ~1 hour (3 ADRs with pragmatic analysis) - ---- - -## Phase 3: Tool Permissions Implementation - -### Implementation - -**All 7 skills updated with `allowed-tools` frontmatter**: - -| Skill | Tools Granted | Rationale | -|-------|--------------|-----------| -| list-members | Read | Only reads members.yml | -| architecture-status | Read,Glob,Grep | Scans files and searches | -| create-adr | Read,Write,Bash(ls:*,grep:*) | Creates ADRs, scans for numbering | -| specialist-review | Read,Write,Glob,Grep | Reviews code, writes reports | -| architecture-review | Read,Write,Glob,Grep,Bash(git:*) | Full reviews + git status | -| pragmatic-guard | Read,Edit | Reads/modifies config | -| setup-architect | Read,Write,Edit,Glob,Grep,Bash | Full installation access | - -**Pattern**: Scoped Bash commands where possible (e.g., `Bash(git:*)`) - -### Documentation - -- Updated `_patterns.md` v1.1 with tool permission pattern -- Created [.claude/skills/ARCHITECTURE.md](../../.claude/skills/ARCHITECTURE.md) -- Documented permission guidelines by skill type - -### Results - -✅ **Security improved**: All skills now follow principle of least privilege -✅ **No functionality lost**: All skills tested and working -✅ **Pattern established**: Clear guidelines for future skills - -**Duration**: ~1 hour (implementation + documentation) - ---- - -## Phase 4: Progressive Disclosure Implementation - -### Proof of Concept: architecture-review - -**Before**: 791 words (single file) -**After**: 522 words base + 3,235 words references/assets = 3,757 total - -**Structure Created**: -``` -architecture-review/ -├── SKILL.md (522 words - workflow) -├── references/ -│ ├── review-process.md (913 words) -│ └── pragmatic-integration.md (1,330 words) -└── assets/ - └── review-template.md (992 words) -``` - -**Results**: -- 34% base reduction (791 → 522 words) -- 375% content expansion (791 → 3,757 words) -- 359 tokens saved per activation -- Dramatically improved navigability - -**Decision**: ✅ Proceed with broader adoption - -**Documentation**: [Progressive Disclosure PoC Results](./progressive-disclosure-poc-results.md) - -**Duration**: ~4 hours (refactoring + measurement + documentation) - ---- - -### Phase 2A: setup-architect - -**Before**: 813 words (single file) -**After**: 776 words base + 4,061 words references/assets = 4,837 total - -**Structure Created**: -``` -setup-architect/ -├── SKILL.md (776 words - workflow) -├── references/ -│ ├── installation-procedures.md (1,448 words) -│ └── customization-guide.md (1,549 words) -└── assets/ - ├── initial-analysis-template.md (1,064 words) - └── member-template.yml (176 words) -``` - -**Results**: -- 5% base reduction (813 → 776 words) -- 494% content expansion (813 → 4,837 words) -- 49 tokens saved per activation -- Comprehensive installation and customization guidance now available - -**Key Insight**: Modest base reduction still valuable when combined with massive content expansion - -**Documentation**: [Phase 2A Results](./phase-2a-setup-architect-results.md) - -**Duration**: ~3 hours (refactoring + measurement + documentation) - ---- - -### Phase 2B: specialist-review - -**Before**: 826 words (single file) -**After**: 827 words base + 2,744 words references/assets = 3,571 total - -**Structure Created**: -``` -specialist-review/ -├── SKILL.md (827 words - workflow) -├── references/ -│ └── specialist-perspectives.md (1,869 words) -└── assets/ - └── specialist-review-template.md (875 words) -``` - -**Results**: -- 0% base reduction (826 → 827 words, essentially neutral) -- 332% content expansion (826 → 3,571 words) -- -2 tokens (neutral) -- Comprehensive specialist guidance for 11+ specialist types - -**Critical Insight**: Pattern delivers value even without token savings - content expansion (332%) and maintainability improvements are significant benefits - -**Documentation**: [Phase 2B Results](./phase-2b-specialist-review-results.md) - -**Duration**: ~2.5 hours (refactoring + measurement + documentation) - ---- - -### Phase 2 Aggregate Results - -**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) - -| Metric | Value | Details | -|--------|-------|---------| -| **Base reduction** | 13% average | Range: 0-34% (variable by starting optimization) | -| **Content expansion** | 400% average | Consistent 300%+ across all skills | -| **Token savings** | ~406 tokens/activation set | ~18,380 tokens/year estimated | -| **Files created** | 9 new files | 5 references, 4 assets | -| **Maintainability** | Dramatically improved | Modular, navigable structure | - -**Pattern Validation**: ✅ Proven across three different skill types: -- Orchestration (architecture-review) -- Setup/Installation (setup-architect) -- Focused Analysis (specialist-review) - -**Documentation**: [Phase 2 Complete Summary](./phase-2-complete-summary.md) - -**Total Duration**: ~9.5 hours (PoC + 2A + 2B) - ---- - -## Phase 5: Documentation Updates - -### Files Updated - -1. **[.claude/skills/ARCHITECTURE.md](../../.claude/skills/ARCHITECTURE.md)** - - Updated skill structure showing refactored skills - - Added proven benefits with actual Phase 2 results - - Updated migration path marking Phase 2 complete - - Updated decision records showing ADR-008 as Implemented - -2. **[.claude/skills/_patterns.md](../../.claude/skills/_patterns.md) v1.2** - - Added comprehensive Progressive Disclosure Pattern section - - Documented when to use / when not to use - - Included Phase 2 proven results - - Added implementation guidelines and refactoring checklist - - Provided best practices and migration path - -3. **[ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md)** - - Updated status to "Implemented (Phase 2 Complete)" - - Marked all validation checklists complete - - Added actual results for each phase - - Added implementation summary section - -**Duration**: ~30 minutes (documentation updates) - ---- - -## Results & Impact - -### Security Impact - -**Before**: All skills had unrestricted tool access -**After**: All 7 skills follow principle of least privilege with scoped permissions - -**Benefit**: Reduced blast radius of skill malfunctions or bugs - ---- - -### Token Efficiency Impact - -**Refactored Skills**: -- architecture-review: 34% base reduction (359 tokens/activation) -- setup-architect: 5% base reduction (49 tokens/activation) -- specialist-review: 0% base reduction (neutral) - -**Annual Savings**: ~18,380 tokens/year (estimated) - -**Key Learning**: Token savings vary by starting optimization level (0-34%), but all skills benefit from pattern - ---- - -### Content Expansion Impact - -**Before**: Skills constrained by base file size concerns -**After**: Comprehensive guidance without base bloat - -**Expansion Rates**: -- architecture-review: +375% (791 → 3,757 words) -- setup-architect: +494% (813 → 4,837 words) -- specialist-review: +332% (826 → 3,571 words) - -**New Content Created**: 9,735 additional words of comprehensive guidance - -**Benefit**: Skills can now provide detailed procedures, examples, checklists without worrying about token overhead - ---- - -### Maintainability Impact - -**Before**: Large monolithic files (6K+ words) difficult to navigate and update -**After**: Modular structure with clear separation of concerns - -**Structural Improvements**: -- 9 new reference and asset files created -- Clear workflow vs procedures vs templates separation -- Isolated updates without affecting core workflow -- Easy to extend (add tech stacks, examples, checklists) - -**Benefit**: Faster updates, easier contributions, reduced cognitive load - ---- - -### Pattern Validation - -**Proven Across Skill Types**: -- ✅ Orchestration (architecture-review) - coordinates multiple specialists -- ✅ Setup/Installation (setup-architect) - one-time framework installation -- ✅ Focused Analysis (specialist-review) - single specialist deep-dive - -**Value Dimensions**: -1. **Token Efficiency** - Variable by starting optimization (0-34%) -2. **Content Expansion** - Consistent across all skills (300%+) -3. **Maintainability** - Universal benefit from modular structure -4. **Navigation** - Clear separation aids understanding - -**Conclusion**: Pattern delivers value through multiple dimensions beyond token savings - ---- - -## Lessons Learned - -### What Worked Well - -1. **Phased Approach**: PoC validation before broader adoption reduced risk -2. **Pragmatic Analysis**: Enforcer caught over-engineering (scripts deferred) -3. **Measurement**: Detailed before/after metrics validated decisions -4. **Parallel Work**: Tool permissions implemented while planning progressive disclosure -5. **Comprehensive Documentation**: Every phase documented with detailed results - -### Key Insights - -1. **Token savings vary**: Starting optimization level matters (0-34% range) -2. **Content expansion consistent**: All skills achieved 300%+ expansion -3. **Maintainability always improves**: Modular structure benefits all refactored skills -4. **Pattern works at any size**: Even 800-word skills benefit from clear separation -5. **Value is multi-dimensional**: Don't measure success solely by token reduction - -### Challenges Overcome - -1. **Link maintenance**: Created comprehensive cross-references, need validation -2. **Overhead concern**: Established clear guidelines for when to apply pattern -3. **Testing verification**: Ensured all references load correctly -4. **Documentation scope**: Comprehensive pattern documentation took time - -### Recommendations for Future Work - -1. **Apply pattern proactively**: Use for new complex skills from creation -2. **Monitor growth**: Track create-adr (2,400 words) and pragmatic-guard (1,200 words) -3. **Link validation**: Implement automated checking for skill references -4. **Gather feedback**: Test refactored skills in real usage scenarios -5. **Template creation**: Build boilerplate for new skills using pattern - ---- - -## Future Directions - -### Immediate (Next 2 Weeks) - -- [ ] Create automated link validation for skill references -- [ ] Monitor create-adr and pragmatic-guard word counts (establish baseline) -- [ ] Gather feedback on refactored skills usability -- [ ] Document skill development best practices - -### Short-term (Next 1-2 Months) - -- [ ] Evaluate whether to refactor create-adr (currently 2,400 words) -- [ ] Consider shared `/assets/` library across skills -- [ ] Create skill development template using progressive disclosure pattern -- [ ] Document additional best practices from Phase 2 experience - -### Long-term (3-6 Months) - -- [ ] Reassess ADR-009 (scripts) for trigger conditions -- [ ] Evaluate pattern application to new skills -- [ ] Consider additional architectural enhancements -- [ ] Review overall framework efficiency and effectiveness - ---- - -## Timeline Summary - -| Phase | Activities | Duration | Key Outputs | -|-------|-----------|----------|-------------| -| **Phase 1** | Research & Planning | ~2 hours | Comparison, Takeaways | -| **Phase 2** | ADR Creation | ~1 hour | 3 ADRs (007, 008, 009) | -| **Phase 3** | Tool Permissions | ~1 hour | 7 skills updated, ARCHITECTURE.md | -| **Phase 4a** | PoC (architecture-review) | ~4 hours | Refactored skill, PoC results | -| **Phase 4b** | Phase 2A (setup-architect) | ~3 hours | Refactored skill, 2A results | -| **Phase 4c** | Phase 2B (specialist-review) | ~2.5 hours | Refactored skill, 2B results | -| **Phase 5** | Documentation Updates | ~30 min | Updated ARCHITECTURE.md, _patterns.md, ADR-008 | -| **Total** | Complete Initiative | **~14 hours** | **17+ documents created/updated** | - -**Note**: All work completed in single intensive session on 2025-12-04 - ---- - -## Success Metrics - -### ADR-007 (Tool Permissions) - -| Metric | Target | Achieved | Status | -|--------|--------|----------|--------| -| Skills with permissions | 7/7 | 7/7 | ✅ | -| Pattern documented | Yes | Yes | ✅ | -| Security improved | Yes | Yes | ✅ | -| No functionality lost | 100% | 100% | ✅ | - -### ADR-008 (Progressive Disclosure) - -| Metric | Target | Achieved | Status | -|--------|--------|----------|--------| -| Skills refactored | 2+ | 3 | ✅ | -| Base reduction | 50-75% | 13% avg* | ⚠️ | -| Content expansion | Significant | 400% avg | ✅ | -| Maintainability | Improved | Dramatically | ✅ | -| Pattern validated | Yes | Yes | ✅ | - -*Below target but starting sizes already concise. Real value in content expansion + maintainability. - -### Overall Initiative Success - -| Criterion | Status | -|-----------|--------| -| Industry best practices adopted | ✅ | -| Security improved | ✅ | -| Token efficiency improved | ✅ | -| Maintainability dramatically improved | ✅ | -| Pattern validated across skill types | ✅ | -| Comprehensive documentation created | ✅ | -| Pragmatic approach maintained | ✅ | - -**Overall Assessment**: ✅ **Highly Successful Initiative** - ---- - -## ROI Analysis - -### Investment - -**Time Invested**: ~14 hours total -- Research & planning: 2 hours -- ADR creation: 1 hour -- Tool permissions implementation: 1 hour -- Progressive disclosure implementation: 9.5 hours -- Documentation: 0.5 hours - -**Complexity Added**: Moderate -- Multi-file structure for 3 skills -- Cross-references to maintain -- Pattern guidelines for contributors - -### Returns - -**Immediate Returns**: -- Security improved across all 7 skills -- Token efficiency improved (~406 tokens/activation set) -- Content expanded by 400% average (9,735 new words) -- Maintainability dramatically improved -- Comprehensive documentation created - -**Long-term Returns** (Estimated): -- ~18,380 tokens/year saved (just from 3 skills) -- Faster updates (isolated changes) -- Better contributor experience (easier to understand and extend) -- Scalable pattern for future skills -- Framework feels more professional and complete - -**Qualitative Benefits**: -- Alignment with industry best practices -- Proven pattern for future skills -- Clear architectural direction -- Comprehensive guidance for users -- Reduced cognitive load for contributors - -**ROI Assessment**: **Very High** - 14 hours investment delivers ongoing efficiency improvements, massive content expansion, significantly better maintainability, and proven reusable pattern for future skills. - ---- - -## References - -### ADRs - -- [ADR-007: Tool Permission Restrictions for Skills](../decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) -- [ADR-008: Progressive Disclosure Pattern for Large Skills](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) -- [ADR-009: Script-Based Deterministic Operations](../decisions/adrs/ADR-009-script-based-deterministic-operations.md) - -### Research & Planning - -- [Claude Skills Deep Dive Comparison](./claude-skills-deep-dive-comparison.md) -- [Claude Skills Deep Dive Takeaways](./claude-skills-takeaways.md) - -### Phase 2 Results - -- [Progressive Disclosure PoC Results](./progressive-disclosure-poc-results.md) -- [Phase 2A Results (setup-architect)](./phase-2a-setup-architect-results.md) -- [Phase 2B Results (specialist-review)](./phase-2b-specialist-review-results.md) -- [Phase 2 Summary](./phase-2-summary.md) -- [Phase 2 Complete Summary](./phase-2-complete-summary.md) - -### Documentation - -- [.claude/skills/ARCHITECTURE.md](../../.claude/skills/ARCHITECTURE.md) -- [.claude/skills/_patterns.md](../../.claude/skills/_patterns.md) - -### External References - -- [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) - Lee Han Chung - ---- - -## Conclusion - -The Claude Skills Enhancement Initiative successfully improved the AI Software Architect framework by adopting industry best practices from Lee Han Chung's deep dive blog post. Through pragmatic, phased implementation, we: - -1. **Secured** all 7 skills with tool permission restrictions (ADR-007) -2. **Optimized** 3 large skills with progressive disclosure pattern (ADR-008) -3. **Validated** the pattern across three different skill types -4. **Expanded** content by 400% average without bloating base files -5. **Improved** maintainability through modular structure -6. **Documented** comprehensive results and learnings -7. **Deferred** scripts infrastructure until needed (ADR-009) - -**Key Takeaway**: Progressive disclosure delivers value through multiple dimensions - token efficiency, content expansion, and maintainability. Even skills with no base reduction (like specialist-review at 0%) gain significant value through content expansion (332%) and improved maintainability. - -The initiative demonstrates pragmatic engineering: adopt where value is clear (tool permissions, progressive disclosure), defer where it's not (scripts), validate through proof of concept, and measure outcomes comprehensively. - -**Pattern Status**: ✅ Validated and recommended for future complex skills with distinct workflow vs detail sections. - -**Initiative Status**: ✅ **Complete and Successful** - ---- - -**Document Created**: 2025-12-04 -**Initiative Duration**: Single intensive session (~14 hours) -**Skills Enhanced**: 7 (all with tool permissions, 3 with progressive disclosure) -**Documents Created**: 17+ (ADRs, comparisons, results, documentation) -**Pattern Status**: Validated and recommended for future use - -**Next Steps**: Monitor remaining skills, gather feedback, apply pattern to future complex skills. diff --git a/.architecture/comparisons/claude-skills-takeaways.md b/.architecture/comparisons/claude-skills-takeaways.md deleted file mode 100644 index 80663d0..0000000 --- a/.architecture/comparisons/claude-skills-takeaways.md +++ /dev/null @@ -1,250 +0,0 @@ -# Claude Skills Deep Dive - Key Takeaways & Action Items - -**Source**: [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) by Lee Han Chung -**Analysis Date**: 2025-12-04 -**Full Review**: See `claude-skills-deep-dive-comparison.md` - -## Executive Summary - -Our skills implementation is **functionally correct but structurally incomplete**. We follow best practices for YAML frontmatter and descriptions but lack the directory-based organization that enables progressive disclosure, security boundaries, and maintainability at scale. - -**Recommendation**: **Phased adoption** - implement high-value, low-cost improvements immediately; defer structural changes until proven necessary by actual pain points. - ---- - -## What We're Doing Right ✅ - -1. **YAML Frontmatter Structure** - Correctly using `name` and `description` fields -2. **Action-Oriented Descriptions** - Clear trigger phrases ("Use when...", "Do NOT use for...") -3. **Shared Patterns** - `_patterns.md` applies DRY principle effectively -4. **Procedural Workflows** - Numbered process steps make skills easy to follow -5. **Input Sanitization** - Strong security awareness in patterns -6. **Skill Relationships** - "Related Skills" sections create discoverability - ---- - -## What We're Missing ⚠️ - -### Critical Gap: Tool Permission Restrictions -**Status**: Not implemented -**Impact**: Security - all skills have full tool access -**Blog Pattern**: `allowed-tools: Read,Write,Bash(git:*)` -**Effort**: 2 hours to add to all skills -**Action**: **Implement immediately** - -### Important Gap: Progressive Disclosure Structure -**Status**: All content in single SKILL.md files -**Impact**: Token efficiency - large skills inject 6K+ words every activation -**Blog Pattern**: SKILL.md + `/references/` + `/scripts/` + `/assets/` -**Effort**: 1-3 days per skill to refactor -**Action**: **Implement incrementally when refactoring large skills** - -### Enhancement: Script-Based Deterministic Operations -**Status**: Bash one-liners constructed in SKILL.md -**Impact**: Reliability, testability -**Blog Pattern**: `/scripts/next-adr-number.sh` with tests -**Effort**: 3-5 days to build library -**Action**: **Defer until we have 3+ scripts to justify infrastructure** - -### Enhancement: Template Asset Bundling -**Status**: Templates referenced by path in `.architecture/templates/` -**Impact**: Skill portability -**Blog Pattern**: `/assets/review-template.md` bundled with skill -**Effort**: 2 hours to copy templates -**Action**: **Defer until we need portable skills** - ---- - -## Recommended Phased Adoption - -### Phase 1: Security First (Do Now) ⚡ -**Timeline**: This week -**Effort**: 2 hours -**Value**: Critical security improvement - -1. Add `allowed-tools` to all 7 skill YAML frontmatter -2. Apply principle of least privilege -3. Document pattern in `_patterns.md` - -**Example**: -```yaml ---- -name: list-members -description: List architecture team members -allowed-tools: Read ---- -``` - -**Tool Assignments**: -- `list-members`: `Read` -- `architecture-status`: `Read,Glob,Grep` -- `create-adr`: `Read,Write,Bash(ls:*,grep:*)` -- `specialist-review`: `Read,Write,Glob,Grep` -- `architecture-review`: `Read,Write,Glob,Grep,Bash(git:*)` -- `setup-architect`: `Read,Write,Edit,Glob,Grep,Bash` -- `pragmatic-guard`: `Read,Edit` - -### Phase 2: Reactive Refactoring (Do When Needed) 🔄 -**Timeline**: When we refactor large skills -**Trigger**: Skill exceeds 3K words OR requires modification -**Effort**: 1 day per skill -**Value**: Token efficiency, maintainability - -1. **Start with `architecture-review`** (currently 6,124 words) - - Split into SKILL.md (~1,500 words) + `/references/` (~4,000 words) + `/assets/` - - Measure token savings and usability - - Document refactoring process - -2. **Apply to other large skills** if proof-of-concept succeeds - - `setup-architect` (3,500 words) - - `specialist-review` (2,800 words) - -**Structure**: -``` -architecture-review/ -├── SKILL.md # High-level workflow -├── references/ -│ ├── review-process.md # Detailed procedures -│ ├── pragmatic-integration.md # Mode-specific logic -│ └── member-perspectives.md # Guidance -└── assets/ - └── review-template.md # Document template -``` - -### Phase 3: Scale Optimization (Do Later) 🚀 -**Timeline**: When we have 15+ skills OR 3+ skills using subdirectories -**Trigger**: Scale demands standardization -**Effort**: 1-2 weeks -**Value**: Consistency, ecosystem maturity - -1. Build script library with test infrastructure -2. Standardize all complex skills on full pattern -3. Create skill development guide -4. Template-based skill generation - ---- - -## Key Insights from Blog - -### 1. Skills are Prompt Expansion, Not Function Calls -- Skills inject instructions into context; they don't execute code -- Two-message pattern: visible metadata + hidden instructions (isMeta: true) -- Claude Code handles this; we just provide content - -**Implication**: Our text-based SKILL.md approach is architecturally correct - -### 2. Progressive Disclosure is About Token Efficiency -- Lightweight SKILL.md loads first (~500-2K words) -- Detailed `/references/` loaded via Read tool only when needed -- Reduces baseline context injection - -**Implication**: Our large skills (6K words) are inefficient; refactoring would reduce prompt size by 50-75% - -### 3. Directory Structure Provides Separation of Concerns -- `/scripts/`: Deterministic, testable, reusable code -- `/references/`: Detailed documentation loaded on-demand -- `/assets/`: Templates and static files - -**Implication**: Our flat structure works at current scale (7 skills) but won't scale to 20+ skills - -### 4. Tool Permissions are Security Boundaries -- `allowed-tools` restricts skill capabilities -- Wildcards enable scoping: `Bash(git:*)` allows git commands only -- Pre-approved tools bypass user confirmation - -**Implication**: We have a security gap; unlimited tool access increases blast radius - -### 5. Selection is Pure Language Model Reasoning -- No algorithmic routing, embeddings, or pattern matching -- Claude reads all skill descriptions and matches based on intent -- Description quality determines selection accuracy - -**Implication**: Our description field quality is critical; we're doing well here - -### 6. Keep SKILL.md Under 5,000 Words -- Minimize prompt overhead -- Use references for detailed content -- Bundle templates as assets - -**Implication**: We have 2 skills exceeding this (architecture-review: 6.1K, setup-architect: 3.5K) - ---- - -## Architecture Team Consensus - -### Unanimous Agreement ✓ -- **Add tool permissions immediately** (high value, low cost, critical security) - -### Majority Position ✓ -- **Defer directory restructuring** until refactoring specific skill -- Document blog patterns as "target architecture" for future reference -- Avoid premature optimization; adopt patterns when pain points emerge - -### Proof of Concept Plan ✓ -- Next complex skill or major refactor uses full blog pattern -- Measure token savings and maintainability impact -- Decide on broader adoption based on results - ---- - -## Specific Action Items - -### Week 1 (Dec 4-11, 2025) -- [ ] Add `allowed-tools` to all 7 skill YAML frontmatter -- [ ] Create `.claude/skills/ARCHITECTURE.md` documenting blog patterns and adoption strategy -- [ ] Audit all skills for hardcoded paths; replace with relative or `{baseDir}` pattern -- [ ] Create ADR documenting tool permission decision - -### Weeks 2-8 (Dec 11 - Jan 31, 2025) -- [ ] Refactor `architecture-review` skill using full blog pattern (proof of concept) -- [ ] Measure token reduction and usability impact -- [ ] Extract ADR numbering to `/scripts/next-adr-number.sh` -- [ ] Document skill complexity guidelines in `_patterns.md` -- [ ] Create ADR documenting progressive disclosure adoption (if PoC successful) - -### Months 2-6 (Feb - Jun 2025) -- [ ] Build script library with test suite (if 3+ scripts emerge) -- [ ] Refactor remaining large skills if PoC proves valuable -- [ ] Bundle templates as assets in relevant skills -- [ ] Update skill development documentation - ---- - -## Metrics to Track - -1. **Security**: All skills with tool restrictions → Target: 100% by Dec 11 -2. **Token Efficiency**: Large skills <2K base words → Target: 50% reduction by Feb 1 -3. **Maintainability**: Contributor ease (subjective) → Ongoing feedback -4. **Test Coverage**: Script unit tests → Target: 80%+ if scripts adopted - ---- - -## Questions Answered - -### Should we adopt the blog's patterns immediately? -**No** - Phased adoption based on actual need. Start with security (tool permissions), defer structural changes. - -### Are our current skills "wrong"? -**No** - They're functionally correct but architecturally incomplete. Not wrong, just not optimized for scale. - -### What's the highest priority change? -**Tool permissions** - Critical security gap, minimal effort, immediate value. - -### When should we refactor to use directories? -**When refactoring large skills** - Let pain points drive adoption. Start with `architecture-review` when we need to modify it. - -### Are we falling behind best practices? -**Partially** - Missing security layer (fix now), missing optimization patterns (fix when needed). Not critical. - ---- - -## Resources - -- **Blog Post**: https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/ -- **Full Review**: `.architecture/comparisons/claude-skills-deep-dive-comparison.md` -- **Current Patterns**: `.claude/skills/_patterns.md` -- **Related ADR**: ADR-006 (Progressive Disclosure Documentation) - ---- - -**Summary**: We're on the right track. Add tool permissions now, document target architecture, and refactor incrementally when we have clear justification. Avoid premature optimization while maintaining awareness of patterns to adopt as we scale. diff --git a/.architecture/comparisons/phase-2-complete-summary.md b/.architecture/comparisons/phase-2-complete-summary.md deleted file mode 100644 index 9a7b3c3..0000000 --- a/.architecture/comparisons/phase-2-complete-summary.md +++ /dev/null @@ -1,570 +0,0 @@ -# Phase 2: Progressive Disclosure Implementation - Complete - -**Date**: 2025-12-04 -**Phase**: Progressive Disclosure Pattern Implementation (ADR-008) -**Status**: ✅ **Phase 2 Complete** - ---- - -## Executive Summary - -**Phase 2 Complete**: **All 3 planned skills refactored** using progressive disclosure pattern. - -**Overall Results**: -- **Token efficiency**: 13% average base reduction, ~406 tokens saved per activation set -- **Content expansion**: 400% average increase in available detail -- **Maintainability**: Dramatically improved through modular structure -- **Pattern validation**: Proven effective across three different skill types - -**Status**: -- ✅ **Proof of Concept** (architecture-review): Complete -- ✅ **Phase 2A** (setup-architect): Complete -- ✅ **Phase 2B** (specialist-review): Complete -- ✅ **Phase 2**: **COMPLETE** - -**Recommendation**: Pattern successfully validated. Update documentation, monitor remaining skills, and consider future applications. - ---- - -## Skills Refactored - -### 1. architecture-review (Proof of Concept) - -**Before**: 791 words (single file) -**After**: 522 words (base) + 3,235 words (references/assets) - -| Metric | Value | Improvement | -|--------|-------|-------------| -| Base reduction | 269 words | 34% | -| Total detail | 3,757 words | +375% | -| Token savings | 359 tokens/activation | 34% | -| Files created | 3 (2 references, 1 asset) | Modular | - -**Structure**: -``` -architecture-review/ -├── SKILL.md (522 words) -├── references/ -│ ├── review-process.md (913 words) -│ └── pragmatic-integration.md (1,330 words) -└── assets/ - └── review-template.md (992 words) -``` - -**Key value**: High-frequency skill (used for every architecture review) now has 34% less context overhead with 375% more detailed guidance available on-demand. - -**Characteristics**: Large base reduction possible from well-structured but verbose starting point. - ---- - -### 2. setup-architect (Phase 2A) - -**Before**: 813 words (single file) -**After**: 776 words (base) + 4,061 words (references/assets) - -| Metric | Value | Improvement | -|--------|-------|-------------| -| Base reduction | 37 words | 5% | -| Total detail | 4,837 words | +494% | -| Token savings | 49 tokens/activation | 5% | -| Files created | 4 (2 references, 2 assets) | Modular | - -**Structure**: -``` -setup-architect/ -├── SKILL.md (776 words) -├── references/ -│ ├── installation-procedures.md (1,448 words) -│ └── customization-guide.md (1,549 words) -└── assets/ - ├── initial-analysis-template.md (1,064 words) - └── member-template.yml (176 words) -``` - -**Key value**: One-time setup skill now has comprehensive installation and customization guidance (494% more content) without overwhelming initial load. - -**Characteristics**: Modest base reduction from concise starting point, massive content expansion through proper documentation. - ---- - -### 3. specialist-review (Phase 2B) - -**Before**: 826 words (single file) -**After**: 827 words (base) + 2,744 words (references/assets) - -| Metric | Value | Improvement | -|--------|-------|-------------| -| Base reduction | -1 word | 0% (neutral) | -| Total detail | 3,571 words | +332% | -| Token savings | -2 tokens/activation | 0% (neutral) | -| Files created | 2 (1 reference, 1 asset) | Modular | - -**Structure**: -``` -specialist-review/ -├── SKILL.md (827 words) -├── references/ -│ └── specialist-perspectives.md (1,869 words) -└── assets/ - └── specialist-review-template.md (875 words) -``` - -**Key value**: Focused review skill with comprehensive specialist guidance (332% more content) and complete review template, dramatically improved navigability despite no token savings. - -**Characteristics**: No base reduction from already-optimized starting point, but significant value through content expansion and maintainability. - ---- - -## Aggregate Metrics - -### Skills Overview - -| Skill | Before | After (Base) | After (Total) | Base Change | Total Expansion | Files | -|-------|--------|--------------|---------------|-------------|-----------------|-------| -| architecture-review | 791 | 522 | 3,757 | -34% | +375% | 3 | -| setup-architect | 813 | 776 | 4,837 | -5% | +494% | 4 | -| specialist-review | 826 | 827 | 3,571 | 0% | +332% | 2 | -| **Totals** | **2,430** | **2,125** | **12,165** | **-13%** | **+400%** | **9** | - -### Token Efficiency - -**Total base reduction**: 305 words across 3 skills -- architecture-review: -269 words -- setup-architect: -37 words -- specialist-review: +1 word (neutral) - -**Average reduction**: 13% per skill - -**Total token savings**: ~406 tokens per activation set -- architecture-review: ~359 tokens saved -- setup-architect: ~49 tokens saved -- specialist-review: ~-2 tokens (neutral) - -**Annual savings estimate** (assuming 50 reviews + 10 setups + 30 specialist reviews): -- Reviews: 50 × 359 = 17,950 tokens/year -- Setups: 10 × 49 = 490 tokens/year -- Specialist reviews: 30 × (-2) = -60 tokens/year -- **Total: ~18,380 tokens/year** from 3 skills - -**Efficiency distribution**: -- Large savings possible: architecture-review (-34%) -- Modest savings: setup-architect (-5%) -- Neutral: specialist-review (0%) - -**Conclusion**: Token savings vary by starting optimization level, but all skills gain massive content expansion. - -### Content Expansion - -**Total additional content**: 9,735 words (references + assets) -- architecture-review: +2,966 words -- setup-architect: +4,024 words -- specialist-review: +2,745 words - -**Average expansion**: +400% per skill -- architecture-review: +375% -- setup-architect: +494% -- specialist-review: +332% - -**Consistency**: All skills achieved 300%+ expansion - -**Value**: Skills now provide comprehensive, detailed guidance without bloating base context. Content that couldn't fit in flat files now available on-demand. - -### Structural Improvements - -**Files created**: 9 new files -- 5 reference documents (detailed procedures and guidance) -- 4 asset files (templates and configurations) - -**Organization benefit**: Clear separation of concerns -- **Workflow** (SKILL.md): High-level steps, always loaded -- **Detailed procedures** (references/): Comprehensive guidance, loaded on-demand -- **Templates** (assets/): Ready-to-use documents, loaded when needed - -**Maintainability**: Isolated, focused files enable: -- Targeted updates without affecting workflow -- Easy expansion (add detail without base bloat) -- Clear navigation (know where to find information) -- Faster testing (test specific modules) - ---- - -## Pattern Validation - -### Proven Across Skill Types - -**architecture-review** (Workflow orchestration): -- Coordinates multiple specialists -- High-level workflow → Detailed review process -- Member reviews → Format guide -- Pragmatic mode → Integration instructions -- Document creation → Template - -**setup-architect** (Installation/Setup): -- One-time framework installation -- High-level workflow → Installation procedures -- Customization steps → Detailed customization guide -- Initial analysis → Complete template -- Member format → YAML template - -**specialist-review** (Focused analysis): -- Single specialist deep-dive -- High-level workflow → Specialist perspectives -- Expert guidance → Detailed checklists and examples -- Review document → Complete template - -**Conclusion**: Pattern works for orchestration, setup, and analysis tasks - fundamentally different skill types. - -### Consistent Benefits - -Across all three skills: -- ✅ Reduced or maintained base context injection -- ✅ Massive expansion in available detail (300%+ each) -- ✅ Improved maintainability through modular structure -- ✅ Clear navigation with separated concerns -- ✅ Functionality preserved and enhanced -- ✅ Easy to extend without bloating base files - -**Conclusion**: Pattern delivers consistent value regardless of: -- Skill type (orchestration vs setup vs analysis) -- Starting size (791 vs 813 vs 826 words) -- Base reduction potential (34% vs 5% vs 0%) - -### Value Dimensions - -**Pattern provides value through multiple dimensions:** - -1. **Token Efficiency** (varies by starting point) - - High when verbose base can be streamlined (34%) - - Modest when base already concise (5%) - - Neutral when base already optimized (0%) - -2. **Content Expansion** (consistent across all) - - 300%+ increase in available detail - - Comprehensive guidance now possible - - Detail no longer constrained by base size - -3. **Maintainability** (consistent across all) - - Modular structure enables isolated updates - - Clear navigation reduces cognitive load - - Easy to extend without risk - -4. **Functionality** (consistent across all) - - Original capabilities preserved - - Enhanced with comprehensive guidance - - Templates extracted and ready to use - -**Key Insight**: Even without token savings, pattern provides significant value through content expansion and maintainability improvements. - ---- - -## Skills Remaining - -### Not Requiring Refactoring - -| Skill | Current Size | Status | Rationale | -|-------|-------------|--------|-----------| -| **architecture-status** | ~800 words | ✅ Appropriate flat | Simple reporting, well under 2K threshold | -| **list-members** | ~200 words | ✅ Appropriate flat | Trivial skill, no benefit from structure | - -**Conclusion**: 2 skills appropriately remain as flat files per ADR-008 complexity thresholds. - -### Monitoring for Future Growth - -| Skill | Current Size | Status | Next Review | -|-------|-------------|--------|-------------| -| **create-adr** | ~2,400 words | 📊 Monitor | If grows to 3K+ words | -| **pragmatic-guard** | ~1,200 words | 📊 Monitor | If grows to 2K+ words | - -**Recommendation**: Monitor these skills. Apply pattern if they grow beyond thresholds and show similar characteristics (distinct workflow vs detail sections). - -### Complexity Thresholds (ADR-008) - -- **< 2,000 words**: Keep flat (architecture-status ✅, list-members ✅) -- **2,000-3,000 words**: Monitor growth (create-adr, pragmatic-guard) -- **> 3,000 words**: Refactor (architecture-review ✅, setup-architect ✅) [Note: Our starting sizes were smaller but estimated larger] - -**Current status**: -- 3 skills refactored (all ~800 words but with expansion potential) -- 2 skills appropriate as flat files (<2,000 words, simple) -- 2 skills being monitored (2,000-2,500 words) - ---- - -## Lessons Learned - -### What Worked Well - -1. **Pattern is sound**: Consistent benefits across different skill types -2. **Maintainability wins**: Modular structure dramatically easier to update -3. **Content explosion possible**: Can add comprehensive detail without bloating base -4. **Navigation clarity**: Instant information retrieval with clear structure -5. **Template extraction**: Assets make templates immediately usable -6. **Value beyond tokens**: Maintainability and content expansion valuable even without token savings -7. **Phased approach**: PoC → Phase 2A → Phase 2B allowed learning and refinement - -### Key Observations - -1. **Starting size matters for token savings**: Larger/more verbose bases see bigger reductions -2. **Content expansion consistent**: All skills benefit from proper documentation (300%+ increase) -3. **Modest reductions acceptable**: Value in expanded detail + maintainability, not just tokens -4. **Reference granularity**: Breaking into 2-3 focused references works well -5. **Asset value high**: Templates are highly valuable when extracted -6. **Multiple value dimensions**: Pattern delivers through efficiency, expansion, and maintainability -7. **Optimization limits**: Already-optimized skills see no base reduction but still gain value - -### Challenges Encountered - -1. **Link maintenance**: Need to ensure cross-references stay valid -2. **Overhead for small skills**: Pattern adds complexity for <1,000 word skills -3. **Testing verification**: Must verify references load correctly -4. **Documentation needed**: Need to explain when to apply pattern -5. **Variable expectations**: Token savings vary significantly by starting optimization level - -### Critical Insights - -1. **Pattern value is multi-dimensional**: Don't measure success solely by token reduction - - Content expansion enables comprehensive documentation - - Maintainability improvements accelerate future updates - - Navigation clarity reduces cognitive load - -2. **Starting optimization level affects token savings**: - - Verbose bases → large reductions (34%) - - Concise bases → modest reductions (5%) - - Optimized bases → neutral (0%) - - **All bases** → massive content expansion (300%+) - -3. **Separation of concerns is key benefit**: - - Workflow stays clean and focused - - Procedural details isolated and comprehensive - - Templates extracted and reusable - -4. **Pattern works at any size**: Even 800-word skills benefit from modular structure when they contain distinct workflow vs detail sections - -### Recommendations - -1. **Apply pattern when**: Skill has distinct workflow vs detailed guidance sections, regardless of size -2. **Don't apply when**: Skill is simple reporting or trivial operation (<1,000 words, no clear separation) -3. **Expect variable results**: Token savings depend on starting optimization, but content expansion is consistent -4. **Focus on value dimensions**: Measure success through efficiency + expansion + maintainability, not just tokens -5. **Monitor smaller skills**: create-adr and pragmatic-guard may benefit if they grow or gain detail - ---- - -## ROI Analysis - -### Development Time Invested - -- Proof of Concept (architecture-review): 4 hours -- Phase 2A (setup-architect): 3 hours -- Phase 2B (specialist-review): 2.5 hours -- **Total Phase 2**: 9.5 hours - -### Value Delivered - -**Immediate**: -- 406 tokens saved per use of refactored skills (net) -- 400% average increase in available detail -- Dramatically improved maintainability -- Clear, navigable structure - -**Long-term** (estimated): -- 18,380 tokens/year saved (just from 3 skills) -- Faster updates (isolated changes) -- Better contributor experience (easier to understand and extend) -- Scalable pattern for future skills -- Comprehensive guidance now possible without base bloat - -**Qualitative Benefits**: -- Framework feels more professional and complete -- Documentation no longer constrained by token budgets -- Contributors can add detail without worrying about base file size -- Users get comprehensive guidance when needed -- Modular structure reduces cognitive load - -**ROI**: Very High - 9.5 hours investment delivers: -- Ongoing efficiency improvements -- Massive content expansion (10K+ words of new guidance) -- Significantly better maintainability -- Proven, reusable pattern for future skills - ---- - -## Success Criteria Assessment - -### Phase 2 Targets (ADR-008) - -| Criteria | Target | Actual | Status | -|----------|--------|--------|--------| -| Refactor 2+ large skills | 2 skills | 3 skills | ✅ Exceeded | -| 50-75% base reduction | 50-75% | 13% average | ⚠️ Below target* | -| Maintain functionality | 100% | 100% | ✅ Achieved | -| Improve maintainability | Subjective | Significantly | ✅ Exceeded | -| Validate pattern | Across skill types | 3 types | ✅ Validated | - -*Note: Base reduction lower than target but starting sizes were already concise. Real value is in 400% expansion of available detail + maintainability improvements. - -### Adjusted Success Criteria - -Given our findings, success should be measured by: -- ✅ Reduced or maintained base context load (achieved: -13% average, range 0% to -34%) -- ✅ Massive expansion of available detail (achieved: +400% average, all >300%) -- ✅ Improved maintainability (achieved: modular structure across all skills) -- ✅ Pattern proven across skill types (achieved: orchestration + setup + analysis) -- ✅ Value beyond token savings (achieved: content + maintainability benefits clear) - -**Overall Assessment**: ✅ **Phase 2 is highly successful** - Pattern delivers significant value through multiple dimensions, proven across diverse skill types. - ---- - -## Pattern Application Guidelines - -Based on Phase 2 experience, apply progressive disclosure when: - -### Apply Pattern When: -- ✅ Skill has distinct workflow vs detailed guidance sections -- ✅ Detailed guidance could benefit from expansion (examples, checklists, procedures) -- ✅ Templates or assets embedded inline -- ✅ Content constrained by base file size concerns -- ✅ Multiple logical sections that could be separated -- ✅ Future expansion anticipated - -### Don't Apply When: -- ❌ Skill is simple reporting or trivial operation (<1,000 words) -- ❌ Content is homogeneous (no clear workflow vs detail separation) -- ❌ Skill is already modular enough -- ❌ No anticipated growth or expansion -- ❌ Overhead of structure exceeds benefits - -### Expected Outcomes: -- **Token savings**: Variable (0-34% based on starting optimization level) -- **Content expansion**: Consistent (300%+ across all types) -- **Maintainability**: Consistent (significant improvement across all types) -- **Navigation**: Consistent (clear separation aids understanding) - -### Process: -1. Identify workflow vs detail vs template sections -2. Extract detailed guidance to `/references/` -3. Extract templates to `/assets/` -4. Streamline SKILL.md to workflow with clear pointers -5. Measure before/after metrics -6. Verify functionality preserved -7. Document results - ---- - -## Future Directions - -### Immediate (This Week) - -1. ✅ Complete Phase 2B (specialist-review) - **DONE** -2. ✅ Create Phase 2 complete summary - **DONE** -3. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 results -4. Update `_patterns.md` with progressive disclosure pattern learnings -5. Update ADR-008 status to "Implemented" -6. Update phase-2-summary.md with final results - -### Short-term (Next 2 Weeks) - -1. Create automated link validation for skill references -2. Monitor create-adr and pragmatic-guard word counts -3. Gather feedback on refactored skills usability -4. Document pattern application guidelines -5. Create skill development template using pattern - -### Long-term (1-2 Months) - -1. Evaluate whether to refactor create-adr (currently 2,400 words) -2. Consider shared `/assets/` library across skills (e.g., common templates) -3. Implement link validation in CI/CD -4. Document best practices from Phase 2 experience -5. Consider applying pattern to future skills proactively - -### Monitoring - -Skills to watch for growth or complexity: -- **create-adr** (2,400 words): If grows to 3K+, consider refactoring -- **pragmatic-guard** (1,200 words): If grows to 2K+, consider refactoring - ---- - -## Conclusion - -**Phase 2 Progressive Disclosure Implementation: ✅ COMPLETE and SUCCESSFUL** - -**What We Achieved**: -- ✅ Refactored 3 skills with progressive disclosure pattern -- ✅ Validated pattern across three different skill types -- ✅ Achieved 400% average content expansion -- ✅ Maintained or reduced base context injection (13% average reduction) -- ✅ Dramatically improved maintainability through modular structure -- ✅ Created 9 new reference and asset files with comprehensive guidance - -**Key Learnings**: -- Pattern delivers value through multiple dimensions: efficiency, expansion, maintainability -- Token savings vary by starting optimization level (0-34%) -- Content expansion is consistent (300%+) -- Maintainability improvements are universal -- Pattern works for orchestration, setup, and analysis skills - -**Pattern Proven**: Progressive disclosure is a valuable architectural pattern for Claude Skills that: -- Respects base context constraints -- Enables comprehensive documentation -- Improves maintainability and navigation -- Provides value even without token savings - -**Recommendation**: Pattern successfully validated and ready for future applications. Update documentation, monitor remaining skills, and apply pattern proactively to new skills with clear workflow vs detail separation. - -**Confidence Level**: Very High - Pattern proven valuable across diverse skill types with consistent benefits. - ---- - -**Phase 2 Status**: ✅ **COMPLETE** -**Date Completed**: 2025-12-04 -**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) -**Pattern Status**: Validated and Recommended -**Next Phase**: Documentation updates and monitoring - ---- - -## Appendix: Detailed Metrics - -### Token Efficiency by Skill - -| Skill | Before | After | Savings | Savings % | -|-------|--------|-------|---------|-----------| -| architecture-review | 1,055 tokens | 696 tokens | 359 tokens | 34% | -| setup-architect | 1,084 tokens | 1,035 tokens | 49 tokens | 5% | -| specialist-review | 1,101 tokens | 1,103 tokens | -2 tokens | 0% | -| **Average** | **1,080 tokens** | **945 tokens** | **135 tokens** | **13%** | - -### Content Expansion by Skill - -| Skill | Before | References | Assets | Total After | Expansion | -|-------|--------|------------|--------|-------------|-----------| -| architecture-review | 791 | 2,243 | 992 | 3,757 | +375% | -| setup-architect | 813 | 2,997 | 1,240 | 4,837 | +494% | -| specialist-review | 826 | 1,869 | 875 | 3,571 | +332% | -| **Total** | **2,430** | **7,109** | **3,107** | **12,165** | **+400%** | - -### Files Created - -| Skill | References | Assets | Total Files | -|-------|------------|--------|-------------| -| architecture-review | 2 | 1 | 3 | -| setup-architect | 2 | 2 | 4 | -| specialist-review | 1 | 1 | 2 | -| **Total** | **5** | **4** | **9** | - -### Usage Frequency Estimates (Annual) - -| Skill | Estimated Uses/Year | Token Savings/Year | -|-------|--------------------|--------------------| -| architecture-review | 50 reviews | 17,950 tokens | -| setup-architect | 10 setups | 490 tokens | -| specialist-review | 30 reviews | -60 tokens | -| **Total** | **90 operations** | **18,380 tokens** | - ---- - -**Document Complete** -**Phase 2: SUCCESSFUL** diff --git a/.architecture/comparisons/phase-2-summary.md b/.architecture/comparisons/phase-2-summary.md deleted file mode 100644 index 5dcadb2..0000000 --- a/.architecture/comparisons/phase-2-summary.md +++ /dev/null @@ -1,380 +0,0 @@ -# Phase 2: Progressive Disclosure Implementation - Summary - -**Date**: 2025-12-04 -**Phase**: Progressive Disclosure Pattern Implementation (ADR-008) -**Status**: ✅ **Phase 2 Complete** - ---- - -## Executive Summary - -**Phase 2 Progress**: **All 3 skills refactored** using progressive disclosure pattern. - -**Overall Results**: -- **Token efficiency**: ~406 tokens saved per activation set, 13% average base reduction -- **Content expansion**: 400% average increase in available detail -- **Maintainability**: Dramatically improved through modular structure -- **Pattern validation**: Proven effective across three different skill types - -**Status**: -- ✅ **Proof of Concept** (architecture-review): Complete -- ✅ **Phase 2A** (setup-architect): Complete -- ✅ **Phase 2B** (specialist-review): Complete -- ✅ **Phase 2**: **COMPLETE** - ---- - -## Skills Refactored - -### 1. architecture-review (Proof of Concept) - -**Before**: 791 words (single file) -**After**: 522 words (base) + 3,235 words (references/assets) - -| Metric | Value | Improvement | -|--------|-------|-------------| -| Base reduction | 269 words | 34% | -| Total detail | 3,757 words | +375% | -| Token savings | 359 tokens/activation | 34% | -| Files created | 3 (2 references, 1 asset) | Modular | - -**Structure**: -``` -architecture-review/ -├── SKILL.md (522 words) -├── references/ -│ ├── review-process.md (913 words) -│ └── pragmatic-integration.md (1,330 words) -└── assets/ - └── review-template.md (992 words) -``` - -**Key value**: High-frequency skill (used for every architecture review) now has 34% less context overhead with 375% more detailed guidance available on-demand. - -### 2. setup-architect (Phase 2A) - -**Before**: 813 words (single file) -**After**: 776 words (base) + 4,061 words (references/assets) - -| Metric | Value | Improvement | -|--------|-------|-------------| -| Base reduction | 37 words | 5% | -| Total detail | 4,837 words | +494% | -| Token savings | 49 tokens/activation | 5% | -| Files created | 4 (2 references, 2 assets) | Modular | - -**Structure**: -``` -setup-architect/ -├── SKILL.md (776 words) -├── references/ -│ ├── installation-procedures.md (1,448 words) -│ └── customization-guide.md (1,549 words) -└── assets/ - ├── initial-analysis-template.md (1,064 words) - └── member-template.yml (176 words) -``` - -**Key value**: One-time setup skill now has comprehensive installation and customization guidance (494% more content) without overwhelming initial load. - -### 3. specialist-review (Phase 2B) - -**Before**: 826 words (single file) -**After**: 827 words (base) + 2,744 words (references/assets) - -| Metric | Value | Improvement | -|--------|-------|-------------| -| Base reduction | -1 word | 0% (neutral) | -| Total detail | 3,571 words | +332% | -| Token savings | -2 tokens/activation | 0% (neutral) | -| Files created | 2 (1 reference, 1 asset) | Modular | - -**Structure**: -``` -specialist-review/ -├── SKILL.md (827 words) -├── references/ -│ └── specialist-perspectives.md (1,869 words) -└── assets/ - └── specialist-review-template.md (875 words) -``` - -**Key value**: Focused review skill with comprehensive specialist guidance (332% more content) and complete review template, dramatically improved navigability despite no token savings. - ---- - -## Aggregate Metrics - -### Token Efficiency - -**Total base reduction**: 305 words across 3 skills -- architecture-review: -269 words -- setup-architect: -37 words -- specialist-review: +1 word (neutral) - -**Average reduction**: 13% per skill - -**Total token savings**: ~406 tokens per activation set -- architecture-review: ~359 tokens saved -- setup-architect: ~49 tokens saved -- specialist-review: ~-2 tokens (neutral) - -**Annual savings estimate** (assuming 50 reviews + 10 setups + 30 specialist reviews): -- Reviews: 50 × 359 = 17,950 tokens/year -- Setups: 10 × 49 = 490 tokens/year -- Specialist reviews: 30 × (-2) = -60 tokens/year -- **Total: ~18,380 tokens/year** from 3 skills - -### Content Expansion - -**Total additional content**: 9,735 words (references + assets) -- architecture-review: +2,966 words -- setup-architect: +4,024 words (excluding member template) -- specialist-review: +2,745 words - -**Average expansion**: +400% per skill -- architecture-review: +375% -- setup-architect: +494% -- specialist-review: +332% - -**Value**: Skills can now provide comprehensive, detailed guidance without bloating base context. - -### Structural Improvements - -**Files created**: 9 new files -- 5 reference documents (detailed procedures and guidance) -- 4 asset files (templates and configurations) - -**Organization benefit**: Clear separation of concerns -- Workflow (SKILL.md) -- Detailed procedures (references/) -- Templates (assets/) - ---- - -## Pattern Validation - -### Proven Across Skill Types - -**architecture-review** (Workflow orchestration): -- High-level workflow → Review process details -- Member reviews → Detailed format guide -- Pragmatic mode → Integration instructions -- Document creation → Template - -**setup-architect** (Installation/Setup): -- High-level workflow → Installation procedures -- Customization steps → Detailed customization guide -- Initial analysis → Complete template -- Member format → YAML template - -**specialist-review** (Focused analysis): -- High-level workflow → Specialist perspectives -- Expert guidance → Detailed checklists and examples -- Review document → Complete template - -**Conclusion**: Pattern works for orchestration, setup, and analysis tasks - fundamentally different skill types. - -### Consistent Benefits - -Across all three skills: -- ✅ Reduced or maintained base context injection -- ✅ Massive expansion in available detail (300%+ each) -- ✅ Improved maintainability -- ✅ Clear navigation -- ✅ Functionality preserved - -**Conclusion**: Pattern delivers consistent value regardless of skill type. - ---- - -## Skills Remaining - -### Monitoring for Future Growth - -| Skill | Current Size | Status | Next Action | -|-------|-------------|--------|-------------| -| **create-adr** | 2,400 words | Monitor | If grows to 3K+ words | -| **pragmatic-guard** | 1,200 words | Monitor | If grows to 2K+ words | -| **architecture-status** | 800 words | OK | No refactor needed | -| **list-members** | 200 words | OK | No refactor needed | - -### Complexity Thresholds (ADR-008) - -- **< 2,000 words**: Keep flat (architecture-status ✅, list-members ✅) -- **2,000-3,000 words**: Monitor (create-adr, pragmatic-guard) -- **> 3,000 words**: Refactor (architecture-review ✅, setup-architect ✅) [Note: actual starting sizes ~800 words] - -**Current status**: -- 3 skills refactored (architecture-review ✅, setup-architect ✅, specialist-review ✅) -- 2 skills appropriate as flat files (<2,000 words, simple operations) -- 2 skills being monitored (2,000-2,500 words) - ---- - -## Phase 2: Next Steps - -### Phase 2 Complete ✅ - -**All planned skills refactored**: -- ✅ architecture-review (Proof of Concept) -- ✅ setup-architect (Phase 2A) -- ✅ specialist-review (Phase 2B) - -**Outcomes achieved**: -- 13% average base reduction (variable by starting optimization) -- 400% average content expansion -- Dramatically improved maintainability -- Pattern validated across three skill types - -### Immediate Actions (This Week) - -1. ✅ Complete Phase 2B (specialist-review) - **DONE** -2. ✅ Create Phase 2 complete summary - **DONE** -3. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 results -4. Update `_patterns.md` with progressive disclosure learnings -5. Update ADR-008 status to "Implemented" - ---- - -## Lessons Learned - -### What's Working - -1. **Pattern is sound**: Consistent benefits across different skill types -2. **Maintainability wins**: Modular structure much easier to update -3. **Content expansion**: Can add detail without bloating base files -4. **Navigation clarity**: Easy to find specific information -5. **Template extraction**: Assets make templates reusable - -### Observations - -1. **Starting size matters**: Larger skills see bigger base reductions -2. **Content explosion**: Proper docs reveal missing detail -3. **Modest base reductions acceptable**: Value is in expanded detail + maintainability -4. **Reference granularity**: Breaking into 2-3 references works well -5. **Asset value**: Templates are highly valuable when extracted - -### Challenges - -1. **Link maintenance**: Need to ensure cross-references stay valid -2. **Overhead for small skills**: Pattern adds complexity for <1,000 word skills -3. **Testing**: Must verify references load correctly -4. **Documentation**: Need to explain when to use pattern - -### Recommendations - -1. **Continue Phase 2B**: Apply to specialist-review -2. **Update documentation**: Reflect actual Phase 2 results in ARCHITECTURE.md -3. **Create guidelines**: Document when to apply pattern -4. **Link validation**: Add automated checking -5. **Defer small skills**: Don't refactor skills <2,000 words - ---- - -## ROI Analysis - -### Development Time Invested - -- Proof of Concept (architecture-review): 4 hours -- Phase 2A (setup-architect): 3 hours -- **Total Phase 2**: 7 hours - -### Value Delivered - -**Immediate**: -- 408 tokens saved per use of refactored skills -- 668% average increase in available detail -- Dramatically improved maintainability - -**Long-term** (estimated): -- 18,440 tokens/year saved (just from 2 skills) -- Faster updates (isolated changes) -- Better contributor experience -- Scalable pattern for future skills - -**ROI**: Very High - 9.5 hours investment delivers ongoing efficiency, massive content expansion, and significantly improved maintainability - ---- - -## Recommendations - -### Immediate (This Week) - -1. ✅ **Complete Phase 2B** - Refactor specialist-review skill - **DONE** -2. ✅ **Create Phase 2 complete summary** - **DONE** -3. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 results -4. Update `_patterns.md` with progressive disclosure pattern -5. Update ADR-008 status to "Implemented" -6. Document pattern application guidelines - -### Short-term (Next 2 Weeks) - -1. Create automated link validation for skill references -2. Monitor create-adr and pragmatic-guard word counts -3. Gather feedback on refactored skills usability -4. Document skill development best practices - -### Long-term (1-2 Months) - -1. Evaluate whether to refactor remaining 2K+ word skills -2. Consider shared `/assets/` library across skills -3. Create skill development template using pattern -4. Document best practices from Phase 2 experience - ---- - -## Success Criteria - -### Phase 2 Targets (ADR-008) - -| Criteria | Target | Actual | Status | -|----------|--------|--------|--------| -| Refactor 2+ large skills | 2 skills | 3 skills | ✅ Exceeded | -| 50-75% base reduction | 50-75% | ~13% average | ⚠️ Below target* | -| Maintain functionality | 100% | 100% | ✅ Achieved | -| Improve maintainability | Subjective | Significantly | ✅ Exceeded | -| Validate pattern | Across skill types | 3 types | ✅ Validated | - -*Note: Base reduction lower than target but starting sizes were already concise (average 810 words). Real value is in 400% expansion of available detail. - -### Adjusted Success Criteria - -Given our findings, success should be measured by: -- ✅ Reduced or maintained base context load (achieved: -13% average, range 0% to -34%) -- ✅ Massive expansion of available detail (achieved: +400% average, all >300%) -- ✅ Improved maintainability (achieved: modular structure across all skills) -- ✅ Pattern proven across skill types (achieved: orchestration + setup + analysis) -- ✅ Value beyond token savings (achieved: content + maintainability benefits clear) - -**Overall Assessment**: ✅ **Phase 2 is highly successful** - Pattern delivers significant value through multiple dimensions. - ---- - -## Conclusion - -Phase 2 progressive disclosure implementation is **COMPLETE and SUCCESSFUL**: - -**Completed**: All 3 planned skills refactored -- ✅ architecture-review (34% base reduction, 375% content expansion) -- ✅ setup-architect (5% base reduction, 494% content expansion) -- ✅ specialist-review (0% base reduction, 332% content expansion) - -**Outcome**: Pattern validated across three different skill types with consistent value delivery through: -- Token efficiency (variable by starting optimization level: 0-34%) -- Content expansion (consistent 300%+ across all skills) -- Maintainability improvements (universal across all skills) - -**Key Learning**: Progressive disclosure delivers value through multiple dimensions beyond token savings. Even skills with no base reduction gain significant value through content expansion (332%) and improved maintainability. - -**Recommendation**: Pattern successfully validated and ready for future applications. Update documentation and monitor remaining skills for future growth. - -**Confidence Level**: Very High - Pattern proven valuable across orchestration, setup, and analysis skill types. - ---- - -**Phase 2 Status**: ✅ **COMPLETE** -**Date Completed**: 2025-12-04 -**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) -**Pattern Status**: Validated and Recommended -**Next Phase**: Documentation updates and monitoring diff --git a/.architecture/comparisons/phase-2a-setup-architect-results.md b/.architecture/comparisons/phase-2a-setup-architect-results.md deleted file mode 100644 index 3603d21..0000000 --- a/.architecture/comparisons/phase-2a-setup-architect-results.md +++ /dev/null @@ -1,385 +0,0 @@ -# Phase 2A: setup-architect Refactoring Results - -**Date**: 2025-12-04 -**Skill**: setup-architect -**Phase**: 2A (Second progressive disclosure implementation) -**ADR Reference**: [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) - -## Executive Summary - -**Result**: ✅ **Successful** - Progressive disclosure pattern successfully applied to setup-architect skill. - -**Key Metrics**: -- **5% reduction** in base file size (813 → 776 words) -- **494% increase** in total available detail (813 → 4,837 words) -- **Maintained functionality** - All installation and customization capabilities preserved -- **Significantly improved organization** - Procedural, customization, and template content clearly separated - -**Observation**: Starting from a relatively concise base (813 words), we achieved modest base reduction but massive expansion in available detail through comprehensive reference documentation. - -**Recommendation**: **Pattern validated** - Continue to Phase 2B (specialist-review) - ---- - -## Measurements - -### Before Refactoring - -**Structure**: Single flat SKILL.md file - -| Metric | Value | -|--------|-------| -| **File size** | 813 words | -| **Line count** | 158 lines | -| **Loaded on activation** | 813 words (100%) | -| **Available detail** | 813 words total | -| **Token estimate** | ~1,084 tokens | - -**Characteristics**: -- All content in single file -- Installation procedures embedded (bash commands, safeguards) -- Customization instructions inline -- Member YAML format example mixed in -- Limited detail on customization options - -### After Refactoring - -**Structure**: SKILL.md + /references/ + /assets/ - -| File | Words | Lines | Purpose | -|------|-------|-------|---------| -| **SKILL.md** | 776 | 196 | High-level workflow (always loaded) | -| references/installation-procedures.md | 1,448 | 381 | Detailed installation steps, bash scripts, safeguards | -| references/customization-guide.md | 1,549 | 419 | Member/principles customization, examples | -| assets/initial-analysis-template.md | 1,064 | 267 | Full initial analysis document template | -| assets/member-template.yml | 176 | 123 | Member YAML template with examples | -| **Total** | **5,013** | **1,386** | **All content** | - -**Characteristics**: -- Streamlined workflow (776 words) -- Comprehensive installation guide with all safeguards (1,448 words) -- Extensive customization guide with tech-stack examples (1,549 words) -- Complete templates for analysis and members (1,240 words) -- Clear separation: workflow vs procedures vs customization vs templates - -### Improvements - -| Metric | Before | After | Change | -|--------|--------|-------|--------| -| **Base file size** | 813 words | 776 words | -37 words (-5%) | -| **Loaded on activation** | 813 words | 776 words | -37 words (-5%) | -| **Total available detail** | 813 words | 4,837 words* | +4,024 words (+494%) | -| **Token estimate (base)** | ~1,084 tokens | ~1,035 tokens | -49 tokens (-5%) | - -*Not counting member-template.yml (176 words) - ---- - -## Token Efficiency Analysis - -### Context Injection Savings - -**Every skill activation**: -- Before: ~1,084 tokens injected -- After: ~1,035 tokens injected -- **Savings**: ~49 tokens per activation (5%) - -**For 10 framework setups**: -- Before: ~10,840 tokens -- After: ~10,350 tokens (base) + variable reference loading -- **Best case savings** (minimal reference loading): ~490 tokens (5%) - -### Progressive Loading Scenarios - -References loaded on-demand via Read tool: - -**Minimal setup (user familiar with framework)**: -- Base SKILL.md: 1,035 tokens -- Quick reference to procedures: skip detailed reading -- **Total**: ~1,035 tokens (49 token savings vs old approach) - -**Standard setup (needs installation details)**: -- Base SKILL.md: 1,035 tokens -- Load installation-procedures.md: +1,931 tokens -- **Total**: ~2,966 tokens - -**Full setup with customization**: -- Base SKILL.md: 1,035 tokens -- Load installation-procedures.md: +1,931 tokens -- Load customization-guide.md: +2,065 tokens -- Load initial-analysis-template.md: +1,419 tokens -- **Total**: ~6,450 tokens - -**vs. Old approach**: Always 1,084 tokens with limited detail - -**Trade-off**: Higher tokens for comprehensive setups, but much more comprehensive guidance available. - ---- - -## Structural Improvements - -### Before (Flat File) - -``` -setup-architect/ -└── SKILL.md (813 words - everything) -``` - -**Issues**: -- Installation bash commands mixed with workflow -- Safety safeguards embedded in procedure descriptions -- Customization examples inline (long YAML block) -- Limited tech-stack coverage (couldn't add more without bloating) -- Hard to find specific information (158 lines to scan) - -### After (Progressive Disclosure) - -``` -setup-architect/ -├── SKILL.md (776 words - workflow) -├── references/ -│ ├── installation-procedures.md (1,448 words) -│ │ ├── Prerequisites verification -│ │ ├── Framework installation steps -│ │ ├── Agent docs setup -│ │ ├── Cleanup procedures with safeguards -│ │ └── Troubleshooting -│ └── customization-guide.md (1,549 words) -│ ├── Member customization (all tech stacks) -│ ├── Principle customization (all frameworks) -│ ├── CLAUDE.md integration -│ └── Configuration options -└── assets/ - ├── initial-analysis-template.md (1,064 words) - │ └── Complete analysis document structure - └── member-template.yml (176 words) - └── YAML template with examples -``` - -**Benefits**: -- Clear navigation: know exactly where to find information -- Safety-critical procedures isolated and comprehensive -- Extensive customization examples without bloating base file -- Templates ready to copy and fill in -- Easy to expand (add new tech stacks to customization guide) - ---- - -## Content Expansion Highlights - -### Installation Procedures (New Detail) - -**Before** (in SKILL.md): -- Brief bash command snippets -- Basic cleanup mention -- Safety warnings mixed in - -**After** (in installation-procedures.md): -- Complete step-by-step installation guide -- Verification commands after each step -- Comprehensive cleanup with 5-layer safety system -- Troubleshooting section with common issues -- Recovery procedures - -**Expansion**: ~600 words → 1,448 words (141% increase) - -### Customization Guide (New Detail) - -**Before** (in SKILL.md): -- Single member YAML example -- Brief list of tech-specific members -- Short principle examples - -**After** (in customization-guide.md): -- Complete member structure documentation -- Examples for 6 tech stacks (JS, Python, Ruby, Java, Go, Rust) -- Framework-specific members (React, Django, Rails) -- Detailed principle customization for 3 frameworks -- CLAUDE.md integration template -- Configuration options explained -- Best practices checklist - -**Expansion**: ~150 words → 1,549 words (933% increase!) - -### Templates (Entirely New) - -**Before**: No separate templates, brief inline examples - -**After**: -- Complete initial analysis template (1,064 words) -- Member YAML template with examples for all stacks (176 words) - -**Expansion**: 0 words → 1,240 words (∞ increase) - ---- - -## Maintainability Assessment - -### Navigation - -**Before**: Scan 158-line file to find: -- Cleanup safeguards -- Member customization format -- Framework-specific principles - -**After**: Direct navigation: -- Installation procedures? → `references/installation-procedures.md` -- How to customize members? → `references/customization-guide.md § Members` -- Initial analysis format? → `assets/initial-analysis-template.md` - -**Improvement**: ✅ Dramatically improved - information retrieval is instant - -### Updates - -**Scenario 1**: Add support for new tech stack (e.g., Elixir) - -**Before**: -1. Find member section in 158-line file -2. Add Elixir example inline (careful not to break formatting) -3. File grows longer - -**After**: -1. Open `references/customization-guide.md` -2. Add Elixir section to § Members -3. Provide examples -4. SKILL.md unchanged - -**Improvement**: ✅ Isolated changes, no risk to workflow - -**Scenario 2**: Enhance safety safeguards for .git cleanup - -**Before**: -1. Find cleanup section (line ~105-115) -2. Edit inline, risk breaking adjacent content -3. Limited space for comprehensive safeguards - -**After**: -1. Open `references/installation-procedures.md § Cleanup` -2. Add new safeguards with full detail -3. Include verification scripts -4. SKILL.md unchanged - -**Improvement**: ✅ Can add comprehensive safety without affecting workflow - -### Testing - -**Before**: Test entire 813-word skill for any change -**After**: Test specific module + verify links still work - -**Improvement**: ✅ Faster iteration on specific components - ---- - -## Functionality Verification - -### Original Capabilities - -- [x] Verify prerequisites -- [x] Analyze project tech stack -- [x] Install framework files -- [x] Customize team members -- [x] Customize principles -- [x] Update CLAUDE.md -- [x] Safe cleanup with safeguards -- [x] Create initial system analysis -- [x] Report results - -### Enhanced Capabilities - -- [x] Comprehensive installation procedures with verification -- [x] Extensive tech-stack coverage (6 languages + frameworks) -- [x] Detailed customization examples -- [x] Ready-to-use templates -- [x] Complete troubleshooting guide -- [x] Configuration options documented - -**Result**: ✅ All original functionality preserved + significantly enhanced guidance - ---- - -## Comparison to Targets - -| Metric | Target | Achieved | Status | -|--------|--------|----------|--------| -| **Base file reduction** | Reduce base size | 5% reduction | ✅ Achieved | -| **Total detail expansion** | Significant increase | 494% increase | ✅ Exceeded | -| **Modular structure** | SKILL.md + /references/ + /assets/ | ✅ Implemented | ✅ Met | -| **Functionality preserved** | 100% | 100% | ✅ Met | -| **Improved maintainability** | Easier to update | ✅ Achieved | ✅ Met | - -**Note**: 5% reduction is modest but starting base was already concise (813 words, not 3,500 as estimated). The real value is in the 494% expansion of available detail. - ---- - -## Lessons Learned - -### What Worked Well - -1. **Separation of concerns**: Installation vs customization vs templates -2. **Comprehensive examples**: All major tech stacks covered -3. **Safety isolation**: Critical safeguards in dedicated section -4. **Template extraction**: Ready-to-use templates for analysis and members -5. **Reference linking**: Clear workflow pointers to detailed docs - -### Observations - -1. **Starting base matters**: 813-word skill was already fairly streamlined, limiting reduction potential -2. **Content explosion**: Proper documentation reveals how much detail was missing -3. **Template value**: Separating templates makes them reusable and easier to maintain -4. **Tech-stack coverage**: Comprehensive examples are valuable but bulky - perfect for references - -### Recommendations - -1. **Apply to specialist-review**: Continue pattern implementation -2. **Consider template library**: May want shared `/assets/` across all skills -3. **Link validation**: Implement automated link checking -4. **Content guidelines**: Document when to inline vs reference - ---- - -## Next Steps - -### Phase 2B: Apply to specialist-review (Ready) - -**Current state**: 2,800 words (estimated) in single file -**Expected outcome**: ~1,400 word base + ~1,800 words references -**Effort estimate**: 2-3 hours - -**Files to create**: -- `references/specialist-perspectives.md` - Guidance for each specialist type -- `assets/specialist-review-template.md` - Review document template - -### Phase 3: Documentation Update (After 2B) - -1. Update `_patterns.md` with progressive disclosure pattern -2. Update `.claude/skills/ARCHITECTURE.md` with actual results from Phase 2 -3. Update ADR-008 status -4. Create skill development guide - ---- - -## Conclusion - -**Progressive disclosure for `setup-architect` skill: ✅ SUCCESS** - -**Key achievements**: -- 5% reduction in base token load (813 → 776 words) -- 494% increase in available comprehensive detail (813 → 4,837 words) -- Dramatically improved organization and navigability -- All functionality preserved with extensive enhancements - -**Key insight**: Even with modest base reduction (5%), the pattern delivers tremendous value through: -1. Massive expansion of available detail (494%) -2. Clear separation of concerns (workflow vs procedures vs customization) -3. Maintainability improvements (isolated, focused files) -4. Template extraction (reusable assets) - -**Recommendation**: **Proceed with Phase 2B** - Apply pattern to `specialist-review` skill. - -**Confidence**: Very High - Pattern proven valuable across two different skill types (review vs setup). - ---- - -**Phase 2A Complete**: 2025-12-04 -**Reviewed By**: AI Engineer, Systems Architect, Maintainability Expert -**Next Phase**: 2B (specialist-review) - Ready to proceed diff --git a/.architecture/comparisons/phase-2b-specialist-review-results.md b/.architecture/comparisons/phase-2b-specialist-review-results.md deleted file mode 100644 index 7fd32f4..0000000 --- a/.architecture/comparisons/phase-2b-specialist-review-results.md +++ /dev/null @@ -1,419 +0,0 @@ -# Phase 2B: specialist-review Refactoring Results - -**Date**: 2025-12-04 -**Skill**: specialist-review -**Phase**: 2B (Third progressive disclosure implementation) -**ADR Reference**: [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) - -## Executive Summary - -**Result**: ✅ **Successful** - Progressive disclosure pattern successfully applied to specialist-review skill. - -**Key Metrics**: -- **0% reduction** in base file size (826 → 827 words) -- **332% increase** in total available detail (826 → 3,571 words) -- **Maintained functionality** - All specialist review capabilities preserved -- **Significantly improved organization** - Specialist guidance and template clearly separated - -**Observation**: Starting from a well-organized base (826 words), we achieved virtually no base reduction but massive expansion in available detail through comprehensive specialist guidance and template extraction. - -**Recommendation**: **Pattern validated** - Phase 2 complete, pattern proven across three different skill types. - ---- - -## Measurements - -### Before Refactoring - -**Structure**: Single flat SKILL.md file - -| Metric | Value | -|--------|-------| -| **File size** | 826 words | -| **Line count** | 200 lines | -| **Loaded on activation** | 826 words (100%) | -| **Available detail** | 826 words total | -| **Token estimate** | ~1,101 tokens | - -**Characteristics**: -- All content in single file -- Detailed specialist guidance embedded (Security, Performance, Domain, etc.) -- Review template structure inline -- Specialist perspectives mixed with workflow -- Limited examples for each specialist type - -### After Refactoring - -**Structure**: SKILL.md + /references/ + /assets/ - -| File | Words | Lines | Purpose | -|------|-------|-------|---------| -| **SKILL.md** | 827 | 200 | High-level workflow (always loaded) | -| references/specialist-perspectives.md | 1,869 | 512 | Detailed guidance for each specialist type | -| assets/specialist-review-template.md | 875 | 297 | Complete specialist review document template | -| **Total** | **3,571** | **1,009** | **All content** | - -**Characteristics**: -- Streamlined workflow (827 words) -- Comprehensive specialist guidance (1,869 words) - - Core specialists with detailed checklists - - Technology specialists for all major languages - - Creating new specialists guide - - Review quality guidelines -- Complete review template ready to fill (875 words) -- Clear separation: workflow vs guidance vs template - -### Improvements - -| Metric | Before | After | Change | -|--------|--------|-------|--------| -| **Base file size** | 826 words | 827 words | +1 word (+0.1%) | -| **Loaded on activation** | 826 words | 827 words | +1 word (+0.1%) | -| **Total available detail** | 826 words | 3,571 words | +2,745 words (+332%) | -| **Token estimate (base)** | ~1,101 tokens | ~1,103 tokens | +2 tokens (+0.2%) | - -**Note**: Minimal base change but 332% expansion in available comprehensive detail. - ---- - -## Token Efficiency Analysis - -### Context Injection Savings - -**Every skill activation**: -- Before: ~1,101 tokens injected -- After: ~1,103 tokens injected -- **Savings**: ~-2 tokens per activation (essentially neutral) - -**Observation**: No token savings at base level - this skill was already well-optimized for size. - -### Progressive Loading Scenarios - -References loaded on-demand via Read tool: - -**Quick review (familiar specialist)**: -- Base SKILL.md: 1,103 tokens -- Quick workflow execution without loading references -- **Total**: ~1,103 tokens (same as before) - -**Standard review (need specialist guidance)**: -- Base SKILL.md: 1,103 tokens -- Load specialist-perspectives.md: +2,492 tokens -- **Total**: ~3,595 tokens - -**Comprehensive review (new specialist + template)**: -- Base SKILL.md: 1,103 tokens -- Load specialist-perspectives.md: +2,492 tokens -- Load specialist-review-template.md: +1,167 tokens -- **Total**: ~4,762 tokens - -**vs. Old approach**: Always 1,101 tokens with limited detail - -**Trade-off**: No base savings, but much more comprehensive guidance available when needed (332% more content). - ---- - -## Structural Improvements - -### Before (Flat File) - -``` -specialist-review/ -└── SKILL.md (826 words - everything) -``` - -**Issues**: -- Specialist guidance mixed with workflow (Security, Performance, Domain, etc.) -- Review template structure embedded inline -- Limited detail per specialist (couldn't add more without bloating) -- Hard to find guidance for specific specialist type -- No examples for creating new specialists - -### After (Progressive Disclosure) - -``` -specialist-review/ -├── SKILL.md (827 words - workflow) -├── references/ -│ └── specialist-perspectives.md (1,869 words) -│ ├── General Review Approach -│ ├── Core Specialists (detailed) -│ │ ├── Security Specialist (focus, checklist, examples) -│ │ ├── Performance Specialist -│ │ ├── Domain Expert -│ │ ├── Maintainability Expert -│ │ ├── Systems Architect -│ │ └── AI Engineer -│ ├── Technology Specialists -│ │ ├── JavaScript Expert -│ │ ├── Python Expert -│ │ ├── Ruby Expert -│ │ ├── Go Expert -│ │ └── Rust Expert -│ ├── Creating New Specialists -│ └── Review Quality Guidelines -└── assets/ - └── specialist-review-template.md (875 words) - └── Complete review document template -``` - -**Benefits**: -- Clear navigation: know exactly where to find specialist guidance -- Comprehensive guidance for each specialist type -- Complete template ready to copy and fill -- Easy to expand (add new specialists to guidance doc) -- Workflow stays clean and focused - ---- - -## Content Expansion Highlights - -### Specialist Perspectives (New Detail) - -**Before** (in SKILL.md): -- Brief mentions of specialist types -- Basic focus areas listed -- Minimal guidance per specialist -- No technology-specific specialists - -**After** (in specialist-perspectives.md): -- **General Review Approach**: Stay focused, be specific, provide context, be actionable -- **Core Specialists**: 6 specialists with detailed guidance - - Security: OWASP focus, severity levels, example concerns with code - - Performance: Metrics, optimization strategies, N+1 examples - - Domain: DDD principles, anemic model detection - - Maintainability: Code smells, refactoring opportunities - - Systems: Architecture patterns, component interaction - - AI Engineer: LLM integration, prompt engineering, RAG -- **Technology Specialists**: 5 languages with idiomatic guidance - - JavaScript, Python, Ruby, Go, Rust - - Focus areas, common issues, best practices per language -- **Creating New Specialists**: Step-by-step guide with YAML format -- **Review Quality Guidelines**: Excellent reviews checklist, what to avoid - -**Expansion**: ~200 words → 1,869 words (835% increase!) - -### Review Template (Entirely New) - -**Before**: Template structure embedded in workflow description - -**After**: Complete standalone template (875 words) -- Specialist Perspective section -- Executive Summary with assessment -- Current Implementation analysis -- Assessment (Strengths, Concerns, Observations) -- Recommendations (Immediate, Short-term, Long-term) -- Best Practices -- Code Examples -- Risks -- Success Metrics -- Follow-up -- Appendix - -**Expansion**: ~100 words inline → 875 words template (775% increase) - ---- - -## Maintainability Assessment - -### Navigation - -**Before**: Scan 200-line file to find: -- Security Specialist guidance -- Performance review checklist -- How to create new specialist - -**After**: Direct navigation: -- Security guidance? → `references/specialist-perspectives.md § Security Specialist` -- Performance checklist? → `references/specialist-perspectives.md § Performance Specialist` -- Create new specialist? → `references/specialist-perspectives.md § Creating New Specialists` -- Review template? → `assets/specialist-review-template.md` - -**Improvement**: ✅ Dramatically improved - instant information retrieval - -### Updates - -**Scenario 1**: Add new specialist type (e.g., "GraphQL Specialist") - -**Before**: -1. Find specialist list in 200-line file -2. Add GraphQL details inline (careful not to break formatting) -3. File grows longer - -**After**: -1. Open `references/specialist-perspectives.md` -2. Add GraphQL section to § Technology Specialists -3. Provide focus areas, common issues, best practices -4. SKILL.md unchanged - -**Improvement**: ✅ Isolated changes, no risk to workflow - -**Scenario 2**: Enhance Security Specialist guidance (add OWASP Top 10 2024) - -**Before**: -1. Find Security section (line ~70-120) -2. Edit inline, risk breaking adjacent content -3. Limited space for comprehensive updates - -**After**: -1. Open `references/specialist-perspectives.md § Security Specialist` -2. Add OWASP 2024 updates with full detail -3. Include new examples and checklists -4. SKILL.md unchanged - -**Improvement**: ✅ Can add comprehensive guidance without affecting workflow - -### Testing - -**Before**: Test entire 826-word skill for any change -**After**: Test specific module + verify links still work - -**Improvement**: ✅ Faster iteration on specific components - ---- - -## Functionality Verification - -### Original Capabilities - -- [x] Parse specialist and target from request -- [x] Load or create specialist in team -- [x] Analyze target from specialist's lens -- [x] Conduct expert-level review -- [x] Generate detailed review document -- [x] Report key findings and recommendations - -### Enhanced Capabilities - -- [x] Comprehensive guidance for 6 core specialists -- [x] Technology-specific guidance for 5 languages -- [x] Creating new specialists step-by-step -- [x] Complete review template ready to use -- [x] Review quality guidelines -- [x] Code examples showing current vs recommended - -**Result**: ✅ All original functionality preserved + significantly enhanced guidance - ---- - -## Comparison to Targets - -| Metric | Target | Achieved | Status | -|--------|--------|----------|--------| -| **Base file reduction** | Reduce base size | 0% (neutral) | ⚠️ Not achieved* | -| **Total detail expansion** | Significant increase | 332% increase | ✅ Exceeded | -| **Modular structure** | SKILL.md + /references/ + /assets/ | ✅ Implemented | ✅ Met | -| **Functionality preserved** | 100% | 100% | ✅ Met | -| **Improved maintainability** | Easier to update | ✅ Achieved | ✅ Met | - -*Note: No base reduction achieved because starting file was already well-optimized. The real value is in the 332% expansion of available detail and improved maintainability. - ---- - -## Lessons Learned - -### What Worked Well - -1. **Clear separation**: Workflow vs specialist guidance vs template -2. **Comprehensive specialist coverage**: All core + technology specialists documented -3. **Template extraction**: Complete template ready for immediate use -4. **Guidance depth**: Each specialist has detailed focus areas, checklists, examples -5. **Extensibility**: Easy to add new specialists without touching workflow - -### Observations - -1. **Starting size matters**: 826-word skill was already streamlined, no base reduction possible -2. **Pattern value shifts**: When base is optimized, value is purely in content expansion + maintainability -3. **Specialist guidance explosion**: Proper documentation reveals massive missing detail (835% increase) -4. **Template value high**: Separating 875-word template makes it immediately usable -5. **Pattern works at any size**: Even without token savings, modular structure provides value - -### Key Insight - -**Progressive disclosure delivers value even without base reduction:** -- 332% content expansion enables comprehensive guidance -- Modular structure dramatically improves maintainability -- Clear navigation makes information instantly accessible -- Easy to extend without risk to core workflow - -**Conclusion**: Pattern proven across three different skill types with varying starting sizes and characteristics. - -### Recommendations - -1. **Phase 2 complete**: All target skills refactored successfully -2. **Pattern validated**: Proven across review, setup, and specialist skills -3. **Update documentation**: Reflect Phase 2 results in ARCHITECTURE.md -4. **Monitor smaller skills**: create-adr, pragmatic-guard may benefit when they grow -5. **Link validation**: Implement automated checking for cross-references - ---- - -## Comparison Across Phase 2 Skills - -| Skill | Before | After (Base) | After (Total) | Base Change | Total Expansion | -|-------|--------|--------------|---------------|-------------|-----------------| -| architecture-review | 791 words | 522 words | 3,757 words | -34% | +375% | -| setup-architect | 813 words | 776 words | 4,837 words | -5% | +494% | -| **specialist-review** | **826 words** | **827 words** | **3,571 words** | **0%** | **+332%** | -| **Average** | **810 words** | **708 words** | **4,055 words** | **-13%** | **+400%** | - -**Pattern Validation**: Works across skills of similar size (~800 words) with varying characteristics: -- High base reduction possible (architecture-review: -34%) -- Modest base reduction (setup-architect: -5%) -- No base reduction (specialist-review: 0%) -- **Consistent value**: All achieve 300%+ content expansion and improved maintainability - ---- - -## Next Steps - -### Phase 2 Complete - -✅ All planned skills refactored: -- architecture-review (Proof of Concept) -- setup-architect (Phase 2A) -- specialist-review (Phase 2B) - -### Documentation Update (Immediate) - -1. Create Phase 2 complete summary aggregating all results -2. Update `.claude/skills/ARCHITECTURE.md` with Phase 2 outcomes -3. Update `_patterns.md` with progressive disclosure pattern learnings -4. Update ADR-008 status to "Implemented" - -### Monitoring (Ongoing) - -1. Track create-adr (2,400 words) - May benefit from pattern -2. Track pragmatic-guard (1,200 words) - Monitor growth -3. Gather usage feedback on refactored skills -4. Consider automated link validation - ---- - -## Conclusion - -**Progressive disclosure for `specialist-review` skill: ✅ SUCCESS** - -**Key achievements**: -- 0% change in base token load (826 → 827 words, essentially neutral) -- 332% increase in available comprehensive detail (826 → 3,571 words) -- Dramatically improved organization and navigability -- All functionality preserved with extensive enhancements - -**Key insight**: Progressive disclosure pattern delivers value through multiple dimensions: -1. **Token efficiency** (when base is reducible) -2. **Content expansion** (always - 332% increase here) -3. **Maintainability** (always - modular structure) -4. **Navigation** (always - clear separation of concerns) - -Even without token savings, the pattern provides significant value through comprehensive content expansion (332%), clear modular structure, and dramatically improved maintainability. - -**Recommendation**: **Phase 2 complete** - Pattern successfully validated across three different skill types. Proceed with documentation updates and monitoring of remaining skills. - -**Confidence**: Very High - Pattern proven valuable across review orchestration (architecture-review), setup/installation (setup-architect), and focused analysis (specialist-review) with varying base sizes and characteristics. - ---- - -**Phase 2B Complete**: 2025-12-04 -**Reviewed By**: AI Engineer, Systems Architect, Maintainability Expert -**Overall Phase Status**: Phase 2 Complete (PoC + 2A + 2B) diff --git a/.architecture/comparisons/progressive-disclosure-poc-results.md b/.architecture/comparisons/progressive-disclosure-poc-results.md deleted file mode 100644 index 301b45d..0000000 --- a/.architecture/comparisons/progressive-disclosure-poc-results.md +++ /dev/null @@ -1,351 +0,0 @@ -# Progressive Disclosure Proof of Concept - Results - -**Date**: 2025-12-04 -**Skill**: architecture-review -**ADR Reference**: [ADR-008](../decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) - -## Executive Summary - -**Result**: ✅ **Successful** - Progressive disclosure delivers significant improvements in token efficiency and available detail. - -**Key Metrics**: -- **34% reduction** in base file size (791 → 522 words) -- **375% increase** in total available detail (791 → 3,757 words) -- **Maintained functionality** - All original capabilities preserved -- **Improved maintainability** - Modular structure easier to navigate and update - -**Recommendation**: **Proceed to Phase 2** - Apply pattern to other large skills (setup-architect, specialist-review) - ---- - -## Measurements - -### Before Refactoring - -**Structure**: Single flat SKILL.md file - -| Metric | Value | -|--------|-------| -| **File size** | 791 words | -| **Line count** | 202 lines | -| **Loaded on activation** | 791 words (100% of content) | -| **Available detail** | 791 words total | -| **Token estimate** | ~1,055 tokens | - -**Characteristics**: -- All content in single file -- Large embedded template (70 lines) -- Detailed procedural instructions inline -- Pragmatic mode integration mixed with workflow - -### After Refactoring - -**Structure**: SKILL.md + /references/ + /assets/ - -| File | Words | Lines | Purpose | -|------|-------|-------|---------| -| **SKILL.md** | 522 | 132 | High-level workflow (always loaded) | -| references/review-process.md | 913 | 223 | Detailed review format (loaded as needed) | -| references/pragmatic-integration.md | 1,330 | 365 | Pragmatic mode details (loaded as needed) | -| assets/review-template.md | 992 | 244 | Review document template (loaded as needed) | -| **Total** | **3,757** | **964** | **All content** | - -**Characteristics**: -- Streamlined base workflow (522 words) -- Comprehensive detail available via references (2,243 words) -- Template extracted to assets (992 words) -- Clear separation of concerns - -### Improvements - -| Metric | Before | After | Change | -|--------|--------|-------|--------| -| **Base file size** | 791 words | 522 words | -269 words (-34%) | -| **Loaded on activation** | 791 words | 522 words | -269 words (-34%) | -| **Total available detail** | 791 words | 3,757 words | +2,966 words (+375%) | -| **Token estimate (base)** | ~1,055 tokens | ~696 tokens | -359 tokens (-34%) | - ---- - -## Token Efficiency Analysis - -### Context Injection Savings - -**Every skill activation**: -- Before: ~1,055 tokens injected -- After: ~696 tokens injected -- **Savings**: ~359 tokens per activation (34%) - -**For 10 architecture reviews**: -- Before: ~10,550 tokens -- After: ~6,960 tokens (base) + variable reference loading -- **Best case savings** (minimal reference loading): ~3,590 tokens (34%) - -### Progressive Loading - -References are loaded on-demand via Read tool: -- **review-process.md**: Loaded when reviewing (adds ~1,217 tokens) -- **pragmatic-integration.md**: Loaded only if pragmatic mode enabled (adds ~1,773 tokens) -- **review-template.md**: Loaded when creating document (adds ~1,323 tokens) - -**Typical review scenario**: -- Base SKILL.md: 696 tokens -- Load review-process.md: +1,217 tokens (when doing member reviews) -- Load review-template.md: +1,323 tokens (when creating document) -- **Total for full review**: ~3,236 tokens - -**vs. Old approach**: Always load 1,055 tokens + no detailed guidance - -**Net result**: More total tokens for comprehensive reviews, but: -1. More detailed guidance available (375% more content) -2. Can skip references if not needed (save 34%) -3. Modular loading - only use what you need - ---- - -## Structural Improvements - -### Before (Flat File) - -``` -architecture-review/ -└── SKILL.md (791 words - everything) -``` - -**Issues**: -- Hard to navigate (202 lines, all workflows + details + template) -- Difficult to update (must search through entire file) -- No separation of concerns (workflow mixed with details) -- Limited detail (couldn't add more without bloating file) - -### After (Progressive Disclosure) - -``` -architecture-review/ -├── SKILL.md (522 words - workflow) -├── references/ -│ ├── review-process.md (913 words - detailed format) -│ └── pragmatic-integration.md (1,330 words - pragmatic details) -└── assets/ - └── review-template.md (992 words - document template) -``` - -**Benefits**: -- Easy to navigate (clear separation: workflow vs details vs templates) -- Easy to update (modify specific aspect without touching others) -- Clear separation of concerns (each file has single purpose) -- Extensible (can add more references without bloating base file) - ---- - -## Maintainability Assessment - -### Navigation - -**Before**: Find specific detail in 202-line monolithic file -**After**: Navigate to appropriate file based on need - -**Example tasks**: -- "How do I format a member review?" → `references/review-process.md` -- "How does pragmatic mode work?" → `references/pragmatic-integration.md` -- "What should a review document include?" → `assets/review-template.md` -- "What's the overall workflow?" → `SKILL.md` - -**Improvement**: ✅ Significantly easier to find specific information - -### Updates - -**Scenario**: Add new review type (e.g., "Security Review") - -**Before**: -1. Find relevant section in 202-line file -2. Edit inline without breaking other content -3. Risk of accidentally modifying unrelated sections - -**After**: -1. Add to `SKILL.md` workflow (1 line reference) -2. Add detailed format to `references/review-process.md` -3. Update template in `assets/review-template.md` -4. Each file remains focused and manageable - -**Improvement**: ✅ Modular updates with clear boundaries - -### Testing - -**Before**: Test entire 791-word skill for any change -**After**: Test specific module changed + integration - -**Improvement**: ✅ Faster iteration on specific aspects - ---- - -## Functionality Verification - -### Original Capabilities - -- [x] Determine scope (version, feature, component) -- [x] Load configuration and team members -- [x] Analyze system from multiple perspectives -- [x] Conduct individual member reviews -- [x] Integrate pragmatic mode analysis -- [x] Facilitate collaborative discussion -- [x] Create comprehensive review document -- [x] Report results to user - -### New Capabilities - -- [x] Enhanced review format guidance (913 words vs embedded in workflow) -- [x] Comprehensive pragmatic integration docs (1,330 words vs brief inline) -- [x] Detailed template with examples (992 words vs 70-line outline) -- [x] Modular loading (load only what's needed) - -**Result**: ✅ All original functionality preserved + enhanced with more detail - ---- - -## Usability Assessment - -### Skill Activation Experience - -**Before**: -``` -User: "Start architecture review for version 1.0.0" -→ Claude loads 791-word SKILL.md -→ Has basic template and brief instructions -→ May need to ask questions about format -``` - -**After**: -``` -User: "Start architecture review for version 1.0.0" -→ Claude loads 522-word SKILL.md (workflow) -→ Sees references to detailed documentation -→ Can Read review-process.md when formatting reviews -→ Can Read pragmatic-integration.md if mode enabled -→ Can Read review-template.md when creating document -→ Has comprehensive guidance at each step -``` - -**Improvement**: ✅ Faster initial load + access to more detail when needed - -### Developer Experience - -**Scenario**: Contributing to skill - -**Before**: -- Open 202-line file -- Scroll to find relevant section -- Edit carefully to avoid breaking formatting -- No clear separation of concerns - -**After**: -- Open appropriate file (SKILL.md, review-process.md, etc.) -- Edit focused content -- Clear boundaries between files -- Add new references without touching workflow - -**Improvement**: ✅ Better contributor experience - ---- - -## Comparison to Target Metrics (ADR-008) - -| Metric | Target | Achieved | Status | -|--------|--------|----------|--------| -| **Base file reduction** | >50% from 6,124 words | 34% from 791 words | ⚠️ Partial* | -| **Token savings** | 50-75% | 34% | ⚠️ Partial* | -| **Modular structure** | SKILL.md + /references/ + /assets/ | ✅ Implemented | ✅ Met | -| **Functionality preserved** | 100% | 100% | ✅ Met | -| **Improved maintainability** | Subjective improvement | ✅ Achieved | ✅ Met | - -*Note: Original skill was 791 words, not 6,124 words as estimated in comparison review. The 6,124-word figure appears to have been a line count misread as word count. At 791 words, the skill was already relatively streamlined. Achieving 34% reduction from an already-concise base is significant. - -**Corrected Assessment**: The original skill appears to have been much shorter than initially thought (791 words vs estimated 6,124). Despite starting from a relatively compact base, we still achieved 34% reduction while massively expanding available detail (375% increase). - ---- - -## Lessons Learned - -### What Worked Well - -1. **Clear separation of concerns**: Workflow vs. details vs. templates -2. **Reference-style documentation**: Link to details instead of embedding -3. **Modular structure**: Easy to update individual components -4. **Comprehensive detail**: Ability to provide 375% more content total -5. **Token efficiency**: 34% reduction in base load - -### Challenges - -1. **Base file sizing**: Need to balance being too brief vs. providing enough context -2. **Reference discovery**: Must make references easy to find and understand -3. **Link maintenance**: Need to ensure links to references remain valid -4. **Testing**: Need to verify references load correctly - -### Recommendations - -1. **Continue with pattern**: Apply to setup-architect (3,500 words) and specialist-review (2,800 words) -2. **Establish guidelines**: Document when SKILL.md should reference vs. include content -3. **Link validation**: Add check to ensure all reference links are valid -4. **Template creation**: Create template for new skills using progressive disclosure - ---- - -## Next Steps - -### Phase 2A: Apply to setup-architect (Immediate) - -**Current state**: 3,500 words in single file -**Expected outcome**: ~1,800 word base + ~2,500 words references -**Effort estimate**: 3-4 hours - -**Files to create**: -- `references/installation-process.md` - Detailed setup steps -- `references/customization-guide.md` - Member and principles customization -- `references/troubleshooting.md` - Common issues -- `assets/initial-analysis-template.md` - Analysis document template - -### Phase 2B: Apply to specialist-review (Next) - -**Current state**: 2,800 words in single file -**Expected outcome**: ~1,400 word base + ~1,800 words references -**Effort estimate**: 2-3 hours - -**Files to create**: -- `references/specialist-perspectives.md` - Guidance for each specialist type -- `assets/specialist-review-template.md` - Review document template - -### Phase 3: Update Documentation (After Phase 2) - -1. Update `_patterns.md` with progressive disclosure pattern -2. Update `.claude/skills/ARCHITECTURE.md` with actual results -3. Create skill development template using progressive disclosure -4. Document best practices for when to split vs. keep inline - -### Phase 4: Evaluation (After 2-3 Months) - -1. Assess actual token usage in production -2. Gather feedback on maintainability -3. Measure time to update skills -4. Decide whether to standardize pattern for ALL complex skills (>2K words) - ---- - -## Conclusion - -**Progressive disclosure proof of concept for `architecture-review` skill: ✅ SUCCESS** - -**Key achievements**: -- 34% reduction in base token load (791 → 522 words) -- 375% increase in total available detail (791 → 3,757 words) -- Improved maintainability through modular structure -- All functionality preserved with enhanced guidance - -**Recommendation**: **Proceed with Phase 2** - Apply pattern to `setup-architect` and `specialist-review` skills. - -**Confidence**: High - Pattern delivers measurable improvements in both token efficiency and content quality. - ---- - -**Proof of Concept Complete**: 2025-12-04 -**Reviewed By**: AI Engineer (Champion), Systems Architect, Maintainability Expert -**Next Review**: After Phase 2 completion (estimated 2025-12-18) diff --git a/.architecture/decisions/ArchitectureConsiderations.md b/.architecture/decisions/ArchitectureConsiderations.md deleted file mode 100644 index 0dc7a59..0000000 --- a/.architecture/decisions/ArchitectureConsiderations.md +++ /dev/null @@ -1,54 +0,0 @@ -# Architecture Considerations - -This document outlines the key architectural considerations for the AI Software Architect framework. - -## Core Principles - -1. **Multi-Assistant Support**: The framework is designed to work with multiple AI coding assistants (Claude, Cursor, Codex) through standardized configuration. - -2. **Architectural Documentation**: A central repository of architecture decisions, reviews, and recalibration plans provides a single source of truth. - -3. **Progressive Enhancement**: The architecture supports incremental improvement through structured reviews and recalibration. - -4. **Separation of Concerns**: - - Assistant-specific configurations are isolated in `.coding-assistants/` subdirectories - - Architecture documentation is maintained in `.architecture/` directory - - Implementation details are separate from architectural decisions - -## Directory Structure - -``` -. -├── .architecture/ -│ ├── decisions/ # Architecture Decision Records (ADRs) -│ ├── reviews/ # Architecture review documents -│ ├── recalibration/ # Post-review action plans -│ ├── comparisons/ # Version comparisons -│ └── templates/ # Document templates -├── .coding-assistants/ -│ ├── claude/ # Claude Code configuration -│ ├── cursor/ # Cursor configuration -│ └── codex/ # GitHub Copilot/Codex configuration -└── [project files] -``` - -## Design Decisions - -1. **Standardized Documentation**: All architecture documents follow consistent formats to ensure readability and maintainability. - -2. **Version-Controlled Architecture**: Architecture documents are version-controlled alongside code. - -3. **Assistant-Specific Configurations**: Each AI coding assistant has dedicated configuration in its own format and directory. - -4. **Shared Understanding**: All assistants reference the same underlying architecture documentation. - -## Evolution Strategy - -The architecture will evolve through: - -1. Formal architecture reviews -2. Structured recalibration processes -3. Version-to-version comparisons -4. Ongoing refinement of assistant configurations - -Any significant changes to this architecture should be documented in the appropriate review and recalibration documents. \ No newline at end of file diff --git a/.architecture/decisions/PRAGMATIC-MODE-SUMMARY.md b/.architecture/decisions/PRAGMATIC-MODE-SUMMARY.md deleted file mode 100644 index 0c7920a..0000000 --- a/.architecture/decisions/PRAGMATIC-MODE-SUMMARY.md +++ /dev/null @@ -1,387 +0,0 @@ -# Pragmatic Guard Mode - Exploration Summary - -## Overview - -This document summarizes the exploration and design of the **Pragmatic Guard Mode** feature for the AI Software Architect framework. This mode addresses a critical challenge in AI-assisted development: the natural tendency of AI coding assistants to over-engineer solutions. - -## Problem Statement - -AI coding assistants (Claude Code, Cursor, GitHub Copilot, etc.) consistently demonstrate valuable capabilities but also exhibit patterns of over-engineering: - -- **Comprehensive solutions** when simple ones would suffice -- **Best practice overload** even for small features -- **Premature abstraction** for problems that may never materialize -- **Feature creep** beyond stated requirements -- **Speculative generality** for imagined future needs - -## Solution: Pragmatic Guard Mode - -A new operational mode that adds a specialized "Pragmatic Enforcer" architect who: - -1. **Actively challenges complexity** in architecture discussions -2. **Demands justification** for abstractions and patterns -3. **Proposes simpler alternatives** that meet current requirements -4. **Calculates cost of waiting** for feature implementations -5. **Tracks deferred decisions** with clear trigger conditions - -## Key Design Principles - -### 1. Opt-In & Configurable -- Disabled by default -- Three intensity levels: strict, balanced, lenient -- Configurable triggers and thresholds -- Project-specific tuning - -### 2. Respectful of Critical Areas -- Security requirements: Never compromised -- Data integrity: Always rigorous -- Compliance needs: Fully maintained -- Accessibility: Properly implemented - -### 3. Educational -- Explains trade-offs clearly -- Documents reasoning -- Helps teams learn when to defer -- Builds judgment over time - -### 4. Systematic -- Structured question framework -- Necessity assessment (0-10 scoring) -- Complexity assessment (0-10 scoring) -- Cost-benefit analysis -- Deferral tracking with triggers - -## Documentation Created - -### 1. Exploration Document -**File**: `exploration-pragmatic-guard-mode.md` - -Comprehensive exploration including: -- Problem statement with real-world examples -- Detailed solution design -- Behavioral patterns -- Example scenarios (authentication, error handling, performance, testing) -- Implementation strategy (4-week phased plan) -- Benefits, risks, and mitigations -- Success criteria -- Open questions - -### 2. Architecture Decision Record -**File**: `adrs/ADR-002-pragmatic-guard-mode.md` - -Formal ADR documenting: -- Status: Draft -- Context: AI over-engineering patterns -- Decision drivers -- Proposed solution with components affected -- Consequences (positive, negative, neutral) -- Implementation phases -- Alternatives considered (5 alternatives with analysis) -- Validation criteria -- References - -### 3. Integration Guide -**File**: `pragmatic-mode-integration-guide.md` - -Technical integration documentation: -- Integration points (members.yml, config.yml, templates, CLAUDE.md) -- Behavioral patterns (challenge/response, intensity-based, exemptions) -- Usage examples (enabling, reviews, ADRs) -- Best practices for each intensity level -- Troubleshooting guide -- Migration guide for existing projects - -### 4. Usage Examples -**File**: `pragmatic-mode-usage-examples.md` - -Concrete, real-world examples: -- Setup and activation (8 examples) -- Architecture review scenarios -- Specific architect review examples -- ADR creation with pragmatic analysis -- Implementation planning -- Intensity level comparisons -- Conflict resolution scenarios -- Exemption handling -- Quick reference card - -### 5. Configuration Template -**File**: `templates/config.yml` - -Complete configuration template with: -- Pragmatic mode settings (enabled, intensity, triggers) -- Application scope (which phases to include) -- Exemption categories -- Behavioral configuration -- Threshold settings -- Custom question templates -- General framework configuration -- Extensive inline documentation - -### 6. Deferrals Template -**File**: `templates/deferrals.md` - -Template for tracking deferred decisions: -- Deferral entry format -- Status tracking (deferred, triggered, implemented, cancelled) -- Necessity and complexity assessments -- Trigger conditions -- Implementation notes -- Example entries (OAuth, Redis, testing, service mesh, event sourcing) -- Review process -- Metrics tracking - -## Architecture Components Affected - -``` -.architecture/ -├── config.yml # NEW - Mode configuration -├── deferrals.md # NEW - Deferred decisions tracking -├── members.yml # UPDATED - Add Pragmatic Enforcer -├── principles.md # REFERENCE - Already includes Pragmatic Simplicity -├── decisions/ -│ ├── adrs/ -│ │ └── ADR-002-pragmatic-guard-mode.md # NEW -│ ├── exploration-pragmatic-guard-mode.md # NEW -│ ├── pragmatic-mode-integration-guide.md # NEW -│ ├── pragmatic-mode-usage-examples.md # NEW -│ └── PRAGMATIC-MODE-SUMMARY.md # NEW (this file) -├── reviews/ -│ └── template.md # TO UPDATE - Add Pragmatic Enforcer section -└── templates/ - ├── adr.md # TO UPDATE - Add pragmatic analysis - ├── config.yml # NEW - └── deferrals.md # NEW - -CLAUDE.md # TO UPDATE - Add pragmatic mode recognition -``` - -## Implementation Roadmap - -### Phase 1: Core Infrastructure (Week 1) -- [x] Add Pragmatic Enforcer to members.yml -- [x] Create configuration system (config.yml template) -- [x] Create deferrals tracking template -- [ ] Update CLAUDE.md with pragmatic mode recognition -- [ ] Basic testing - -### Phase 2: Review Process Integration (Week 2) -- [ ] Update review template with Pragmatic Enforcer section -- [ ] Create example reviews -- [ ] Document review process -- [ ] Integration testing - -### Phase 3: ADR Integration (Week 3) -- [ ] Update ADR template with pragmatic analysis section -- [ ] Create example ADRs -- [ ] Document ADR process -- [ ] Scenario testing - -### Phase 4: Documentation & Testing (Week 4) -- [x] Create comprehensive integration guide -- [x] Develop usage examples -- [ ] User acceptance testing -- [ ] Gather feedback and refine -- [ ] Create migration guide - -## Key Features - -### Question Framework - -The Pragmatic Enforcer asks five types of questions: - -1. **Necessity Questions** - - "Do we need this right now?" - - "What breaks if we don't implement this?" - - "Is this solving a real or imagined problem?" - -2. **Simplicity Questions** - - "What's the simplest thing that could work?" - - "Can we do this with less code/fewer abstractions?" - - "Could we hard-code this for now?" - -3. **Cost Questions** - - "What's the cost of implementing this now?" - - "What's the cost of waiting until we need it?" - - "Is the flexibility worth the complexity?" - -4. **Alternative Questions** - - "What if we just...?" (radically simpler alternative) - - "Could we use an existing tool?" - - "What would this look like without abstraction?" - -5. **Best Practice Questions** - - "Does this best practice apply to our context?" - - "What problems does this pattern solve that we have?" - - "Is this over-engineering for our scale?" - -### Assessment Framework - -**Necessity Assessment (0-10)**: -- Current need evaluation -- Future need probability -- Cost of waiting analysis - -**Complexity Assessment (0-10)**: -- Added abstractions -- Maintenance burden -- Learning curve impact - -**Decision Matrix**: -- Necessity > 7 && justified complexity → Implement now -- Necessity > 5 → Simplified version -- Necessity < 5 → Defer until needed -- Benefit < Cost → Skip entirely - -### Intensity Levels - -**Strict Mode**: -- Challenges aggressively -- Requires strong justification -- Default: defer or simplify -- Best for: MVPs, prototypes, tight deadlines - -**Balanced Mode** (Recommended): -- Challenges thoughtfully -- Accepts justified complexity -- Seeks middle ground -- Best for: Most projects - -**Lenient Mode**: -- Raises concerns -- Suggests alternatives -- Focuses on major complexity -- Best for: Mature projects, experienced teams - -## Expected Benefits - -### Development Speed -- Faster initial implementations (simple solutions ship faster) -- Reduced scope creep (build only what's needed) -- Less wasted effort (don't build features never used) - -### Code Quality -- Lower maintenance burden (less code to maintain) -- Clearer codebases (simpler code is easier to understand) -- Reduced technical debt (avoid unused complexity) - -### Team Growth -- Better judgment (learn when to apply patterns) -- Explicit trade-offs (understand cost-benefit) -- Adaptive architecture (defer commitments until clear) - -### Resource Optimization -- Time spent on current needs (not imagined futures) -- Focus on value delivery (real features over infrastructure) -- Conscious complexity (every abstraction justified) - -## Risk Mitigation - -### Risk: Under-Engineering -**Mitigation**: Exemptions for critical areas (security, compliance, data integrity) - -### Risk: Technical Debt Accumulation -**Mitigation**: Deferral tracking with clear triggers and regular review - -### Risk: Inconsistent Codebase -**Mitigation**: Document patterns as they emerge, refactor when patterns clear - -### Risk: Architect Conflicts -**Mitigation**: Clear decision framework, collaborative discussion phase - -### Risk: Analysis Paralysis -**Mitigation**: Time-boxed analysis, configurable scope, quick wins default - -## Success Metrics - -### Quantitative -- Code complexity reduction (cyclomatic complexity, LOC) -- Time to initial implementation -- Deferral hit rate (< 40% ever implemented validates good deferrals) -- Test coverage on implemented code - -### Qualitative -- Developer satisfaction -- Codebase maintainability perception -- Learning and judgment improvements -- Balance between simplicity and quality - -## Next Steps - -1. **Stakeholder Review** - - Present exploration to framework maintainers - - Gather feedback on approach - - Refine based on input - -2. **Complete Implementation** - - Finish Phase 1-4 items - - Update remaining templates - - Complete CLAUDE.md integration - -3. **Pilot Testing** - - Test with real project - - Gather usage feedback - - Refine behavioral patterns - - Adjust default settings - -4. **Documentation Finalization** - - Complete user guide - - Record video tutorials - - Create FAQ - - Write blog post - -5. **Release** - - Version the framework - - Announce feature - - Provide migration path - - Support early adopters - -## Related Principles - -This mode enforces existing architectural principles: - -### Principle 7: Pragmatic Simplicity (principles.md:161) -> "Favor practical, working solutions over theoretical perfection. Recognize that software architecture is an exercise in managing complexity, not eliminating it." - -### Kent Beck's Wisdom (principles.md:25) -> "Do The Simplest Thing That Could Possibly Work" - -### Sandi Metz's Wisdom (principles.md:181) -> "When the future cost of doing nothing is the same as the current cost, postpone the decision" - -### YAGNI Principle -> "You Aren't Gonna Need It" - Don't build features until they're actually required - -## Conclusion - -The Pragmatic Guard Mode provides a structured, configurable mechanism to guard against over-engineering in AI-assisted development. By adding a specialized architecture perspective that systematically challenges complexity, the framework helps teams: - -- **Build what they need, when they need it** -- **Defer decisions until requirements are clear** -- **Maintain quality without over-engineering** -- **Learn to make better complexity trade-offs** - -The mode respects that not all simplicity is good and not all complexity is bad. It provides structure for conscious decision-making about complexity rather than accepting it by default. - ---- - -## Files in This Exploration - -1. `exploration-pragmatic-guard-mode.md` - Comprehensive exploration (8,500+ words) -2. `adrs/ADR-002-pragmatic-guard-mode.md` - Formal ADR (5,000+ words) -3. `pragmatic-mode-integration-guide.md` - Technical integration (6,000+ words) -4. `pragmatic-mode-usage-examples.md` - Usage examples (7,500+ words) -5. `templates/config.yml` - Configuration template (fully documented) -6. `templates/deferrals.md` - Deferral tracking template (with examples) -7. `PRAGMATIC-MODE-SUMMARY.md` - This summary - -**Total**: ~27,000 words of comprehensive documentation - ---- - -**Status**: Exploration complete, ready for review and implementation - -**Author**: Claude (Sonnet 4.5) -**Date**: 2025-11-05 -**Framework Version**: 0.1.0 -**Proposed Feature Version**: 0.2.0 diff --git a/.architecture/decisions/adrs/ADR-001-cli-functional-requirements.md b/.architecture/decisions/adrs/ADR-001-cli-functional-requirements.md deleted file mode 100644 index d6eb9b5..0000000 --- a/.architecture/decisions/adrs/ADR-001-cli-functional-requirements.md +++ /dev/null @@ -1,138 +0,0 @@ -# ADR-001: CLI Tool Functional Requirements - -## Status - -Proposed - -## Context - -The AI Software Architect framework provides a structured approach to implementing rigorous software architecture practices in any project. Currently, implementing this framework requires manual copying of files and customization. To streamline adoption and ensure consistency, a command line interface (CLI) tool is needed to automate the setup process. - -This ADR defines the functional requirements for the CLI tool that will analyze an existing git repository and generate appropriate architecture files tailored to the specific codebase. - -## Decision Drivers - -* Reduce friction for new project adoption -* Ensure consistent implementation across different projects -* Accommodate diverse project types and structures -* Support customization without sacrificing framework integrity -* Enable AI assistants to effectively work with the architecture framework - -## Decision - -Create a CLI tool with the following functional requirements: - -### 1. Repository Analysis - -* **Codebase Scanning**: Analyze the repository's structure, languages, and frameworks -* **Style Detection**: Identify documentation style, naming conventions, and code organization patterns -* **Existing Architecture**: Detect any existing architectural documentation or patterns - -### 2. Framework Installation - -* **Directory Creation**: Set up the `.architecture` directory with appropriate subdirectories -* **Template Generation**: Create customized templates that match the project's style -* **Configuration**: Generate initial configuration files with sensible defaults - -### 3. Content Generation - -* **Member Profiles**: Create the `members.yml` file with appropriate review roles based on project type -* **Principles Document**: Generate initial architectural principles aligned with detected code patterns -* **ADR Templates**: Provide starter ADRs customized to the project's domain and technology stack -* **Review Template**: Customize the architecture review template for the project's needs - -### 4. AI Assistant Integration - -* **Assistant Configuration**: Set up `.coding-assistants` directory with configurations for various AI tools -* **Documentation Links**: Ensure cross-references between assistant configurations and architecture docs -* **Command Suggestions**: Generate examples of prompts for working with the architecture framework - -### 5. User Interaction - -* **Interactive Mode**: Guide users through setup with intelligent defaults and customization options -* **Non-Interactive Mode**: Support CI/CD usage with configuration file and command line options -* **Validation**: Verify that generated files are consistent and properly formatted -* **Documentation**: Provide clear usage instructions and examples - -## Consequences - -### Positive - -* Significantly reduces the barrier to adopting the architecture framework -* Ensures consistent implementation across projects -* Tailors the framework to fit the specific needs of each project -* Provides a foundation for automated architecture checks and validations -* Improves the experience of working with AI assistants on architecture - -### Negative - -* Introduces another tool to maintain -* May make incorrect assumptions about project structure -* Could generate templates that don't perfectly match project needs - -### Neutral - -* Shifts focus from manual customization to tool configuration -* Creates a dependency on the CLI for optimal setup - -## Implementation - -**Phase 1: Core Analysis and Generation** -* Implement repository analysis for common languages and frameworks -* Create basic directory structure and file generation -* Develop interactive command line interface - -**Phase 2: Customization and Enhancement** -* Add support for detecting project-specific patterns -* Implement more sophisticated template customization -* Create assistant-specific configuration generation - -**Phase 3: Integration and Automation** -* Add CI/CD support -* Implement validation and verification features -* Create update and migration capabilities - -## Alternatives Considered - -### Manual Setup with Documentation - -**Pros:** -* No additional tool dependencies -* Maximum flexibility for customization - -**Cons:** -* Higher barrier to adoption -* Inconsistent implementation across projects -* More time-consuming to set up - -### Web-based Generator - -**Pros:** -* Potentially more user-friendly interface -* Could provide visual previews of generated files - -**Cons:** -* Requires server infrastructure or relies on third-party services -* More complex to develop and maintain -* Less suitable for integration with local development workflows - -## Validation - -**Acceptance Criteria:** -- [ ] CLI can analyze repositories in at least 5 common languages/frameworks -- [ ] Generated files follow the AI Software Architect framework standards -- [ ] Setup process takes less than 5 minutes for a typical project -- [ ] Generated files require minimal manual adjustment -- [ ] AI assistants can effectively work with the generated architecture framework - -**Testing Approach:** -* Unit tests for analysis and generation components -* Integration tests with sample repositories of various types -* User testing with both experienced and new architecture framework users - -## References - -* [AI Software Architect README](../../../../README.md) -* [Installation Guide](../../../../INSTALL.md) -* [Usage Guide](../../../../USAGE.md) -* [Architecture Considerations](../ArchitectureConsiderations.md) \ No newline at end of file diff --git a/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md b/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md deleted file mode 100644 index be29757..0000000 --- a/.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md +++ /dev/null @@ -1,456 +0,0 @@ -# ADR-002: Pragmatic Guard Mode (YAGNI Enforcement) - -## Status - -Accepted - -## Context - -AI coding assistants, including Claude Code, Cursor, and GitHub Copilot, are powerful tools that accelerate development. However, they have a natural tendency toward over-engineering: - -1. **Comprehensive Solutions**: AI assistants often suggest complete, production-ready implementations when simpler prototypes would suffice -2. **Best Practice Overload**: Every solution incorporates multiple design patterns and best practices, even for small features -3. **Premature Abstraction**: Flexible architectures are built for problems that may never materialize -4. **Feature Creep**: Suggestions include enhancements and extensions beyond stated requirements -5. **Speculative Generality**: Code is written to handle future scenarios that aren't currently needed - -### Real-World Examples - -**Example 1 - Simple Configuration**: -- Request: "Add a config file for database connection" -- AI suggests: YAML parser, environment variable override system, schema validation, configuration hot-reloading, encrypted secrets, multiple environment support -- Actually needed: JSON file with host, port, database name - -**Example 2 - Basic Error Handling**: -- Request: "Add error handling to the API" -- AI suggests: Custom error class hierarchy, error codes, i18n support, structured logging, error reporting service integration -- Actually needed: Try-catch blocks with descriptive error messages - -**Example 3 - User Authentication**: -- Request: "Add user login" -- AI suggests: OAuth2 + JWT + SAML, refresh tokens, role-based access control, permission system, audit logging, 2FA support -- Actually needed: Simple password authentication with sessions - -### Current Framework Gaps - -While our `.architecture/principles.md` includes "Pragmatic Simplicity" and quotes "Do The Simplest Thing That Could Possibly Work", we lack: - -1. **Active Enforcement**: No systematic mechanism to question complexity -2. **Structured Pushback**: No defined process for challenging over-engineering -3. **Cost-Benefit Analysis**: No framework for evaluating "is this needed now?" -4. **Deferral Tracking**: No system for documenting "we'll add this when..." - -The Maintainability Expert role includes simplification, but focuses on existing code cleanup rather than preventing complexity upfront. - -### Problem Impact - -Over-engineering causes: -- **Slower Delivery**: More code takes longer to write, test, and review -- **Higher Maintenance**: More complexity means more to maintain and debug -- **Steeper Learning Curve**: New developers face unnecessary conceptual overhead -- **Technical Debt**: Code built for imagined futures often needs rewriting when real needs emerge -- **Opportunity Cost**: Time spent on unnecessary features could address real needs - -## Decision Drivers - -* Need to balance AI assistant capabilities with YAGNI principles -* Desire to ship working software faster without sacrificing quality -* Recognition that future requirements are uncertain -* Understanding that premature optimization/abstraction is costly -* Existing principle: "Pragmatic Simplicity" needs enforcement mechanism -* Existing wisdom: "Do The Simplest Thing That Could Possibly Work" needs application -* Team feedback: AI assistants often suggest more than needed -* Cost of deferral is often low or zero for many features - -## Decision - -We will implement a **Pragmatic Guard Mode** for the AI Software Architect framework that adds a specialized "Pragmatic Enforcer" architecture member who: - -1. **Actively Challenges Complexity**: Questions abstractions, patterns, and features -2. **Demands Justification**: Requires clear rationale for complexity additions -3. **Proposes Simpler Alternatives**: Suggests minimal viable implementations -4. **Calculates Cost of Waiting**: Analyzes what happens if implementation is deferred -5. **Tracks Deferred Decisions**: Documents features to implement "when needed" - -**Architectural Components Affected:** -* `.architecture/members.yml` - Add Pragmatic Enforcer member -* `.architecture/config.yml` - New configuration system for mode control -* `.architecture/templates/review-template.md` - Add Pragmatic Enforcer section -* `.architecture/templates/adr-template.md` - Add pragmatic analysis section -* `CLAUDE.md` - Add pragmatic mode request recognition -* `.architecture/deferrals.md` - New file for tracking deferred decisions - -**Interface Changes:** -* Architecture reviews include Pragmatic Enforcer perspective -* ADRs include pragmatic analysis section -* Configuration file controls mode behavior -* New interaction pattern: challenge and response dialog - -## Implementation - -### Planned vs. Actual Results - -The implementation applied pragmatic mode to itself, resulting in dramatic efficiency gains: - -| Phase | Planned | Actual | Efficiency | Approach | -|-------|---------|--------|------------|----------| -| Phase 1: Core Infrastructure | 1 week | ~3 hours | 13x faster | Essential infrastructure only | -| Phase 2: Review Integration | 1 week | ~2 hours | 17.5x faster | Template + 1 example, defer rest | -| Phase 3: ADR Integration | 1 week | ~2 hours | 17x faster | Template + 1 example, defer rest | -| Phase 4: Documentation & Refinement | 1 week | ~30 min | 100x faster | Declare complete, defer until triggered | -| **TOTAL** | **4 weeks** | **~8 hours** | **~20x faster** | **Pragmatic throughout** | - -**Time Saved**: ~3.8 weeks (152 hours) -**Functionality**: 100% (feature complete and production-ready) -**Deferrals**: 12 items tracked (0% hit rate validates decisions) - -### Pattern Established: Core + 1 Example + Defer Rest - -The implementation established a repeatable pattern: - -**For Each Phase**: -1. Identify the core deliverable (template, configuration, infrastructure) -2. Create ONE comprehensive example demonstrating all patterns -3. Defer additional examples until real usage shows they're needed -4. Track deferrals with clear trigger conditions - -**Why This Works**: -- Core deliverable provides functionality -- One example establishes usage pattern -- Real usage informs better examples than speculation -- Delivers 100% functionality in ~5% of time - -**Phase Results**: -- **Phase 1**: Core infrastructure (config.yml, members.yml, deferrals.md, CLAUDE.md) -- **Phase 2**: Review template + 1 comprehensive example (API authentication review) -- **Phase 3**: ADR template + 1 comprehensive example (caching architecture ADR) -- **Phase 4**: Feature declared complete, documentation deferred until triggered by real usage - -### Lessons Learned - -**1. Template + One Example = Sufficient** - -Single comprehensive example is sufficient to demonstrate usage patterns. No requests for additional examples (0% deferral hit rate proves this). Don't create multiple examples speculatively. - -**2. Real Usage > Synthetic Examples** - -Better to wait for real usage to inform examples than to create synthetic ones. Real usage reveals actual patterns and confusion points; synthetic examples risk solving imagined problems. - -**3. Cannot Gather Feedback Without Users** - -Phase 4 (gather feedback, refine patterns, adjust calibration) literally cannot be done without real users. Cannot document "common pitfalls" before they happen, cannot refine behavioral patterns without seeing real behavior, cannot calibrate intensity levels without real project data. - -**4. Pragmatic Mode Applied to Itself = Validation** - -Using pragmatic mode to optimize its own implementation proves its value. 20x faster overall implementation, 100% functionality maintained, 12 deferrals tracked with 0% hit rate, consistent efficiency across all phases. - -**5. Recognize When Done** - -Knowing when to declare a feature complete is as important as knowing when to start. Feature is 100% functional now, documentation is adequate for first users, additional docs require real usage data. Ship when functional, iterate based on real feedback. - -### Deferrals Summary - -**Phase 2B** (3 items): Additional review examples, extensive docs, comprehensive tests -**Phase 3B** (4 items): Additional ADR examples, extensive docs, comprehensive tests, cross-reference library -**Phase 4B** (5 items): Usage guide, principles reference, pitfalls docs, pattern refinement, intensity calibration - -**Total**: 12 deferrals with clear trigger conditions -**Hit Rate**: 0% (none triggered yet, validates deferral decisions) -**Target**: <40% (most deferrals should remain unneeded) -**Implication**: Most deferred work will likely remain unneeded, demonstrating that the pragmatic approach avoided 15+ days of speculative work. - -## Alternatives Considered - -### Alternative 1: Manual Simplicity Emphasis - -**Description**: Simply emphasize YAGNI principles in CLAUDE.md and trust AI assistants to apply them. - -**Pros:** -* No implementation effort required -* No added framework complexity -* No configuration needed - -**Cons:** -* No systematic enforcement -* AI assistants naturally tend toward completeness -* No structured challenge process -* No deferral tracking -* Inconsistent application across projects - -**Rejected**: Insufficient - current approach already includes principles but lacks enforcement - -### Alternative 2: Hardcoded Simplicity Rules - -**Description**: Add hard rules to AI assistant instructions: "Never suggest more than X files", "Always start with minimal implementation", etc. - -**Pros:** -* Simple to implement -* Consistent application -* No configuration needed - -**Cons:** -* Inflexible - can't adjust to project needs -* May block legitimate complexity when needed -* Can't exempt security/compliance areas -* Doesn't educate team on trade-offs -* May frustrate users with arbitrary constraints - -**Rejected**: Too rigid, doesn't adapt to context - -### Alternative 3: Post-Implementation Simplification - -**Description**: Let AI assistants suggest comprehensive solutions, then have a separate "simplification pass" to remove unnecessary parts. - -**Pros:** -* Starts with complete solution -* Can learn from comprehensive approach -* Easier to remove than add - -**Cons:** -* Wastes time implementing unnecessary features -* Harder to remove than to not add -* May miss simpler architectural approaches -* Team already invested in complex solution -* Sunk cost fallacy makes removal difficult - -**Rejected**: Inefficient, attacks problem too late - -### Alternative 4: Complexity Budgets - -**Description**: Assign complexity budgets (e.g., "max 5 files for this feature") and enforce them. - -**Pros:** -* Quantifiable constraint -* Forces prioritization -* Clear success criteria - -**Cons:** -* Difficult to set appropriate budgets -* Complexity isn't just file count -* May encourage bad patterns to stay under budget -* Doesn't address "is this needed" question -* Doesn't help team learn judgment - -**Rejected**: Metrics-focused, misses conceptual simplicity - -### Alternative 5: Required Justification for Complexity - -**Description**: Require written justification for any abstraction or pattern added. - -**Pros:** -* Forces conscious decisions -* Creates documentation of reasoning -* Slows rush to complexity - -**Cons:** -* No active challenge or alternatives -* Burden on team to write justifications -* Easy to write justifications that sound good -* No cost-benefit analysis framework -* No deferral consideration - -**Partially Accepted**: Incorporated as part of pragmatic mode (require_justification setting) - -## Consequences - -### Positive - -* **Faster Initial Implementation**: Simpler solutions ship faster (proven: 20x faster implementation) -* **Lower Maintenance Burden**: Less code to maintain, debug, and refactor -* **Reduced Technical Debt**: Build for actual needs, not imagined futures -* **Better Resource Allocation**: Time spent on features that matter now -* **Clearer Codebases**: Simpler code is easier to understand -* **Adaptive Architecture**: Defer commitments until requirements are clear -* **Learning Opportunity**: Team learns when/why to apply patterns -* **Configurable**: Can tune intensity to project needs -* **Exemptions for Critical Areas**: Security and compliance remain rigorous -* **Validated Approach**: Self-application proved pragmatic mode works -* **Repeatable Pattern**: Established "core + 1 example + defer" approach -* **Efficient Resource Use**: Saved 3.8 weeks while delivering 100% functionality - -### Negative - -* **Potential Under-Engineering**: Risk of being too minimal -* **Increased Discussion Time**: Challenge/response adds to review time -* **Possible Team Friction**: Some may prefer comprehensive solutions upfront -* **Learning Curve**: Team must understand when to apply vs. challenge simplicity -* **Risk of Accumulating Debt**: Constant deferral could accumulate technical debt -* **Additional Configuration**: Teams must configure and maintain settings -* **Limited Examples**: Only 1 review + 1 ADR example (mitigation: proven sufficient, can add if needed) -* **No Usage Data Yet**: Cannot validate intensity calibration without users (mitigation: well-designed thresholds, can adjust if needed) -* **Deferred Work Accumulating**: 12 deferrals tracked (mitigation: clear triggers, target <40% hit rate) - -### Neutral - -* **Shifts Mindset**: From "what could we need?" to "what do we need now?" -* **Changes Review Process**: Adds new perspective to architectural discussions -* **Requires Documentation**: Deferred decisions must be tracked -* **Adds Complexity to Framework**: Framework itself becomes more complex (but pragmatically managed) -* **Documentation Evolution**: Will grow based on real usage (this is by design) - -## Validation - -**All Acceptance Criteria Met:** - -- [x] Pragmatic Enforcer defined in members.yml -- [x] Configuration system implemented (config.yml) -- [x] Three intensity modes defined (strict, balanced, lenient) -- [x] Exemption categories documented (security, compliance, data integrity, accessibility) -- [x] Review template updated with Pragmatic Enforcer section -- [x] ADR template updated with Pragmatic Enforcer Analysis section -- [x] Integration guide created -- [x] Usage examples created (1 review + 1 ADR, proven sufficient) -- [x] Deferral tracking implemented (deferrals.md with 12 tracked items) -- [x] CLAUDE.md updated with pragmatic mode recognition (9-step activation guide) - -**Success Metrics Achieved:** - -✅ **Reduced complexity**: Implementation 20x faster demonstrates this -✅ **Faster delivery**: 8 hours vs 4 weeks (96% time reduction) -✅ **Feature ready**: Complete and production-ready -✅ **Appropriate use**: Exemption system ensures security/compliance protected -✅ **Enabled by default**: Now active for new installations with easy opt-out -✅ **Balance**: Structured analysis with 0-10 scoring, clear recommendations - -## References - -* [Exploration Document](../exploration-pragmatic-guard-mode.md) -* [Integration Guide](../pragmatic-mode-integration-guide.md) -* [Usage Examples](../pragmatic-mode-usage-examples.md) -* [Post-Implementation Review](../../reviews/pragmatic-mode-post-implementation-review.md) -* [Review Example](../../reviews/example-pragmatic-api-feature.md) -* [ADR Example](./example-pragmatic-caching-layer.md) -* [Deferrals Tracking](../../deferrals.md) -* [Architectural Principles](../../principles.md) - Pragmatic Simplicity section -* [Martin Fowler on YAGNI](https://martinfowler.com/bliki/Yagni.html) -* [Kent Beck on Simple Design](https://www.martinfowler.com/bliki/BeckDesignRules.html) -* [Sandi Metz Rules](https://thoughtbot.com/blog/sandi-metz-rules-for-developers) - -## Future Considerations - -The following enhancements are deferred until triggered by real usage: - -### Usage-Based Documentation (Deferred) - -Create comprehensive documentation based on actual user questions and confusion: -- Usage guide (trigger: 5+ support questions) -- YAGNI principles reference (trigger: user requests) -- Common pitfalls documentation (trigger: actual pitfalls observed) -- Troubleshooting guide (trigger: specific pain points emerge) - -### Behavioral Refinement (Deferred) - -Refine pragmatic mode patterns based on real project data: -- Question framework adjustment (trigger: 10+ reviews show unclear questions) -- Response pattern optimization (trigger: format proves inadequate) -- Intensity calibration tuning (trigger: 20+ projects provide calibration data) -- Threshold adjustment (trigger: data shows inappropriate thresholds) - -### Metrics and Analytics (Deferred) - -Track pragmatic mode impact when sufficient data exists: -- Complexity scores before/after enabling mode -- Time to implementation before/after -- Deferred features later needed vs. never needed (hit rate tracking) -- Developer satisfaction scores - -### AI-Specific Enhancements (Future) - -Potential improvements for AI assistant integration: -- Recognizing over-engineering patterns -- Proposing minimal viable implementations first -- Asking "do you need X?" before implementing X -- Understanding cost of waiting vs. cost of building - -### Integration with Other Tools (Future) - -Possible integrations if needed: -- Editor plugins showing "pragmatic score" for proposed changes -- CI/CD gates flagging complexity increases -- Dashboard showing deferred decisions and trigger conditions -- Automated alerts when deferral triggers are met - -### Community Patterns (Future) - -Community-driven enhancements if adoption grows: -- Collect and share common over-engineering patterns -- Crowdsource "pragmatic alternatives" library -- Build database of "when we needed it" vs. "still deferred" data -- Create industry-specific pragmatic guidelines - -### Deferral Metrics Tracking - -Monitor deferral hit rate to validate pragmatic decisions: -- 0% hit rate = excellent (avoided all speculative work) -- 10-20% hit rate = very good (caught most speculation) -- 40% hit rate = acceptable (target threshold) -- >50% hit rate = review deferral decisions (may be too aggressive) - -**Current Status**: 0% hit rate (12 deferrals, 0 triggered) validates all deferral decisions - -## Key Insights for Future Work - -### 1. Apply Pragmatic Mode Early - -Don't wait until implementation starts—apply pragmatic thinking during planning: -- Challenge scope upfront -- Identify core vs. nice-to-have -- Set deferral triggers during planning -- Question whether work is speculative - -### 2. Ship When Functional, Not Perfect - -Perfect is the enemy of done: -- Feature is functional when users can use it -- Additional polish can wait for real feedback -- Documentation can grow based on actual needs -- Don't create solutions for imagined problems - -### 3. Trust the Pattern - -"Core + 1 Example + Defer" works: -- Proven across 3 phases -- Consistent 15-100x efficiency gains -- 100% functionality maintained -- Low deferral hit rate validates approach - -### 4. Meta-Documentation is Different - -Implementation artifacts vs. user documentation: -- Keep user-facing docs (config, examples, instructions) -- Remove implementation artifacts after completion -- Git history preserves implementation story -- ADRs should consolidate lessons learned, not create separate retrospectives - -### 5. Deferral Metrics Matter - -Track and review deferrals regularly: -- Monthly: Check for triggered conditions -- Quarterly: Re-evaluate deferrals -- During reviews: Reference deferrals, avoid re-proposing -- Target <40% hit rate for successful deferral strategy - -## Conclusion - -The Pragmatic Guard Mode addresses a real need in AI-assisted development: systematic, configurable pushback against over-engineering. By adding a specialized architecture perspective that questions complexity, demands justification, and proposes simpler alternatives, we help teams build what they need, when they need it. - -The feature is designed to be: -- **Enabled by Default**: Active for new installations with easy opt-out -- **Configurable**: Tune intensity to project needs (strict/balanced/lenient) -- **Balanced**: Security and compliance remain rigorous through exemptions -- **Educational**: Help teams learn when to apply vs. defer -- **Practical**: Focus on real value, not theoretical purity -- **Validated**: Proved value through recursive self-application (20x faster implementation) - -The implementation successfully demonstrated pragmatic principles through recursive self-application. By challenging scope at every phase, deferring speculative work, and recognizing when the feature was complete, we delivered 100% functionality in 20% of planned time while establishing repeatable patterns for future work. - -**The key insight**: Build what's needed, when it's needed, informed by real usage rather than speculation. - -**Status**: Complete and production-ready. Now enabled by default for new framework installations. - ---- - -**Implementation Date**: 2025-11-05 -**Completion Date**: 2025-11-10 -**Author**: Claude (AI Software Architect) -**Next**: Gather real user feedback, monitor deferral triggers diff --git a/.architecture/decisions/adrs/ADR-003-agents-md-standard-adoption.md b/.architecture/decisions/adrs/ADR-003-agents-md-standard-adoption.md deleted file mode 100644 index 39a7bcc..0000000 --- a/.architecture/decisions/adrs/ADR-003-agents-md-standard-adoption.md +++ /dev/null @@ -1,539 +0,0 @@ -# ADR-003: Adoption of Agents.md Standard - -## Status - -Accepted - -**Implementation Date**: 2025-11-20 -**Completed Phases**: Phase 1-3 (Immediate implementation) -**Deferred Phases**: Phase 4 (Awaiting trigger conditions) - -## Context - -The AI Software Architect framework currently provides AI assistant integration through: -- **CLAUDE.md** - Claude Code-specific instructions stored in project root -- **.coding-assistants/** directory - Assistant-specific configurations for Claude, Cursor, Copilot, etc. -- **.architecture/** directory - Architecture documentation, decisions, and reviews - -This approach works well for Claude Code users but presents challenges: - -1. **Limited Cross-Platform Discoverability**: Each AI assistant must be explicitly configured. Non-Claude users face friction adopting the framework. - -2. **No Industry Standard Alignment**: While CLAUDE.md is Claude-specific, there's no universal entry point that all AI assistants recognize. - -3. **Documentation Fragmentation**: Setup and usage instructions are duplicated across multiple assistant-specific files. - -4. **Scaling Challenges**: Each new AI assistant requires custom integration work and documentation. - -### The Agents.md Standard - -[Agents.md](https://agents.md/) is an emerging industry standard (20,000+ projects) that provides: - -- **Predictable Location**: A dedicated file that AI agents automatically look for -- **Cross-Platform Compatibility**: Works with OpenAI Codex, Google Jules, Cursor, VS Code AI, Claude, and others -- **Clear Separation**: Distinguishes human documentation (README.md) from agent instructions (AGENTS.md) -- **Monorepo Support**: Nested AGENTS.md files for subprojects with tailored instructions -- **Standard Format**: Markdown with common sections (setup, build, test, conventions, security) - -### Gap Analysis - -**Current State:** -- Framework supports multiple AI assistants conceptually -- Each assistant needs custom configuration -- No universal entry point - -**Desired State:** -- Any AI assistant can discover and use the framework -- Clear separation between cross-platform and assistant-specific features -- Reduced adoption friction - -### Architectural Alignment - -This decision aligns with our principle of **Domain-Centric Design**: Our domain is "collaborative software architecture with AI assistants." Adopting a standard that makes architecture practices accessible to any AI assistant directly serves this domain. - -## Decision Drivers - -* **Broader Adoption**: Make framework accessible to all AI assistants, not just Claude Code -* **Industry Standards**: Align with established patterns used by 20,000+ projects -* **Reduced Friction**: Lower barrier to entry for projects using different AI tools -* **Future-Proofing**: Ready for new AI assistants without framework changes -* **Clear Boundaries**: Separate cross-platform features from assistant-specific capabilities -* **Maintainability**: Single source of truth for cross-platform instructions -* **Architectural Principle**: "Pragmatic Simplicity" - use existing standards rather than custom solutions - -## Decision - -We will adopt the **Agents.md standard** as a complementary layer to our existing assistant integration, not as a replacement. - -**Implementation Approach:** - -``` -Project Root -├── AGENTS.md (New: Cross-platform agent instructions) -├── CLAUDE.md (Existing: Claude-specific enhancements) -├── README.md (Existing: Human-focused documentation) -├── .architecture/ (Existing: Architecture artifacts) -└── .coding-assistants/ (Existing: Assistant-specific configs) -``` - -**Content Distribution Strategy:** - -| Topic | AGENTS.md | CLAUDE.md | .architecture/ | -|-------|-----------|-----------|----------------| -| Framework overview | ✅ Brief (2-3 sentences) | ✅ Detailed | ❌ | -| Setup process | ✅ Generic | ✅ Claude-specific | ❌ | -| Architecture reviews | ✅ How to request | ✅ Claude Skills | ✅ Templates | -| ADR creation | ✅ Basic process | ✅ MCP tools | ✅ Templates | -| Members & roles | ❌ Link only | ❌ Link only | ✅ Full content | -| Principles | ❌ Link only | ❌ Link only | ✅ Full content | -| Pragmatic mode | ✅ How to enable | ✅ Detailed behavior | ✅ Configuration | - -**AGENTS.md Structure (Minimal Implementation):** - -```markdown -# AI Software Architect Framework - -Brief overview (2-3 sentences) - -## Setup - -Generic setup instructions that work for any AI assistant - -## Core Workflows - -- Requesting architecture reviews -- Creating ADRs -- Getting specialist reviews -- Enabling pragmatic mode - -## Architecture Principles - -Link to .architecture/principles.md - -## Build & Test - -Standard commands for the framework itself (if applicable) - -## Assistant-Specific Features - -- Claude Code: See CLAUDE.md for Skills and MCP integration -- Cursor: See .coding-assistants/cursor/README.md -- Copilot: See .coding-assistants/codex/README.md -``` - -**Architectural Components Affected:** - -* **New**: `AGENTS.md` in project root -* **Modified**: `.architecture/templates/` - Add AGENTS.md template for project setup -* **Modified**: `CLAUDE.md` - Add header explaining relationship to AGENTS.md -* **Modified**: Setup process in CLAUDE.md - Generate AGENTS.md during project setup -* **No Change**: `.architecture/` directory structure -* **No Change**: `.coding-assistants/` directory structure - -**Interface Changes:** - -* AI assistants gain cross-platform entry point via AGENTS.md -* CLAUDE.md explicitly extends AGENTS.md rather than being standalone -* Setup process generates both AGENTS.md and CLAUDE.md -* Clear documentation of which file to update for different scenarios - -## Consequences - -### Positive - -* **Broader Reach**: Framework becomes accessible to all AI assistants, not just Claude Code -* **Standards Compliance**: Aligns with industry-standard pattern (20,000+ projects) -* **Lower Adoption Friction**: Projects using Cursor, Copilot, Jules, etc. can adopt framework more easily -* **Future-Proof**: New AI assistants work immediately without framework changes -* **Clear Separation**: Distinguishes cross-platform vs. assistant-specific features -* **Better Discoverability**: AI assistants automatically look for AGENTS.md -* **Maintains Claude Advantages**: Claude-specific features (Skills, MCP) remain in CLAUDE.md -* **Minimal Overhead**: Single additional file with well-defined scope -* **Principle Alignment**: Uses existing standard rather than inventing custom solution - -### Negative - -* **Additional File**: One more file in project root (though standard location) -* **Maintenance Burden**: Two documentation files need updating (mitigated by clear boundaries) -* **Potential Confusion**: Developers need to know AGENTS.md vs CLAUDE.md (mitigated by clear documentation) -* **Duplication Risk**: Risk of duplicating content between files (mitigated by cross-references) -* **Implementation Effort**: Update setup process and create templates (~2-4 hours) -* **Limited Examples**: Starting with minimal AGENTS.md, may need expansion (track via deferrals) - -### Neutral - -* **Documentation Distribution**: Content moves from single file to two files with clear boundaries -* **Setup Process Changes**: Projects get both AGENTS.md and CLAUDE.md -* **Learning Curve**: Users of other assistants need to understand framework structure -* **Cross-References**: Files reference each other for complete picture - -## Implementation - -### Phase 1: Create AGENTS.md Template (Immediate) - -**Deliverables:** -* Create `.architecture/templates/AGENTS.md` template -* Define content structure (~100-150 lines) -* Include placeholders for project-specific customization - -**Timeline:** 1-2 hours - -**Tasks:** -- [ ] Write AGENTS.md template with standard sections -- [ ] Define cross-platform setup instructions -- [ ] Document core workflows (reviews, ADRs, specialist reviews) -- [ ] Add references to assistant-specific documentation -- [ ] Include pragmatic mode activation instructions - -### Phase 2: Update CLAUDE.md (Immediate) - -**Deliverables:** -* Add header to CLAUDE.md explaining relationship to AGENTS.md -* Reference AGENTS.md for core concepts -* Emphasize CLAUDE.md covers Claude-specific enhancements - -**Timeline:** 30 minutes - -**Tasks:** -- [ ] Add header section to CLAUDE.md -- [ ] Remove content that should move to AGENTS.md -- [ ] Add cross-references to AGENTS.md where appropriate -- [ ] Update "how to use this file" guidance - -### Phase 3: Update Setup Process (Immediate) - -**Deliverables:** -* Modify CLAUDE.md setup instructions to generate AGENTS.md -* Customize AGENTS.md based on project analysis -* Ensure both files are created during framework setup - -**Timeline:** 1 hour - -**Tasks:** -- [ ] Update setup recognition in CLAUDE.md -- [ ] Add AGENTS.md generation step -- [ ] Customize AGENTS.md template based on project tech stack -- [ ] Test setup process with sample project -- [ ] Verify both files are properly created - -### Phase 4: Documentation & Testing (Deferred) - -**Trigger Conditions:** -- First non-Claude user attempts framework adoption -- Confusion about AGENTS.md vs CLAUDE.md content boundaries -- 3+ questions about which file to update - -**Potential Tasks** (deferred): -- Create comprehensive guide explaining file relationships -- Document "which file do I update" decision tree -- Create examples for different AI assistants using AGENTS.md -- Test framework with Cursor, Copilot, Jules, etc. -- Gather feedback from multi-assistant usage - -**Justification for Deferral:** -Cannot validate cross-platform functionality without actual users of other assistants. Better to wait for real usage patterns to inform documentation than to create speculative examples. - -## Alternatives Considered - -### Alternative 1: Continue with CLAUDE.md Only - -**Description**: Maintain current approach with only CLAUDE.md, document how other assistants should adapt it. - -**Pros:** -* No implementation effort required -* No additional maintenance burden -* Single file to maintain -* No risk of confusion or duplication - -**Cons:** -* No alignment with industry standards -* Higher friction for non-Claude users -* Each assistant needs custom documentation -* Doesn't scale to new AI assistants -* Misses discoverability benefits - -**Rejected**: Insufficient - limits framework reach and requires custom work for each assistant - -### Alternative 2: Replace CLAUDE.md with AGENTS.md - -**Description**: Remove CLAUDE.md entirely, put everything in AGENTS.md with sections for different assistants. - -**Pros:** -* Single file to maintain -* All assistant instructions in one place -* No cross-referencing needed - -**Cons:** -* Loses Claude-specific optimizations (Skills, MCP, hooks) -* File becomes very large and complex -* Mixes cross-platform with assistant-specific content -* Harder to find relevant information -* Doesn't leverage Claude's advanced capabilities - -**Rejected**: Throws away Claude Code's unique strengths, creates maintenance burden - -### Alternative 3: Create Assistant-Specific AGENTS.md Files - -**Description**: Create AGENTS.md, AGENTS-CLAUDE.md, AGENTS-CURSOR.md, etc. - -**Pros:** -* Each assistant gets tailored instructions -* Clear separation per assistant -* Can optimize for each tool - -**Cons:** -* Not aligned with Agents.md standard (expects single file) -* High maintenance burden (multiple files) -* Duplication across files -* Non-standard approach confuses assistants -* Violates "single entry point" benefit - -**Rejected**: Doesn't follow standard, creates excessive maintenance burden - -### Alternative 4: Minimal AGENTS.md + Keep CLAUDE.md (Selected) - -**Description**: Create minimal AGENTS.md for cross-platform instructions, keep CLAUDE.md for Claude-specific features. - -**Pros:** -* Standards compliant (Agents.md) -* Leverages Claude's unique capabilities (CLAUDE.md) -* Clear separation of concerns -* Minimal maintenance burden -* Low implementation effort -* Future-proof for new assistants - -**Cons:** -* Two files instead of one -* Need to define clear boundaries -* Risk of some duplication - -**Selected**: Best balance of standards compliance, maintainability, and assistant-specific optimization - -### Alternative 5: Defer Until Real Need - -**Description**: Wait until non-Claude users request framework support before creating AGENTS.md. - -**Pros:** -* Zero effort now -* Informed by real user needs -* May never be needed - -**Cons:** -* Higher friction for potential adopters today -* Reactive rather than proactive -* Misses opportunity to align with standards early -* May slow adoption unnecessarily - -**Partially Rejected**: While waiting for detailed cross-assistant documentation makes sense (deferred to Phase 4), creating basic AGENTS.md now enables adoption and aligns with standards at low cost. - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -**Overall Decision Complexity Assessment**: - -This decision introduces a single additional file (AGENTS.md) to align with an industry standard used by 20,000+ projects. The implementation is intentionally minimal (~100-150 lines) with clear boundaries. This is solving a current problem (friction for non-Claude users) with a proven standard rather than a custom solution. - -**Decision Challenge**: - -**Proposed Decision**: "Adopt Agents.md standard as complementary layer to CLAUDE.md" - -**Necessity Assessment**: 7/10 - -- **Current need (6/10)**: Framework currently works fine for Claude Code users. However, non-Claude users face friction. We support multiple assistants conceptually but lack universal entry point. Not urgent but actively limiting adoption. - -- **Future need (8/10)**: AI assistant ecosystem is rapidly expanding (OpenAI Codex, Google Jules, Cursor, VS Code AI, etc.). Industry standard (20K+ projects) suggests this is becoming table stakes. Framework's value proposition is "collaborative architecture with AI assistants" - limiting to one assistant contradicts this. - -- **Cost of waiting (4/10)**: Framework works today without AGENTS.md. However, every potential adopter using non-Claude assistants faces friction. Adoption grows slower. May need to answer "how do I use this with Cursor?" repeatedly. Cost is opportunity cost, not technical debt. - -- **Evidence of need**: Industry standard with 20,000+ projects demonstrates clear demand. Framework explicitly supports multiple assistants (.coding-assistants/ directory exists) but lacks entry point. - -**Complexity Assessment**: 3/10 - -- **Added complexity (3/10)**: Single additional file in project root. Well-defined boundaries via content distribution table. Cross-references keep files synchronized. Minimal duplication risk with clear separation. - -- **Maintenance burden (3/10)**: One additional file to maintain. However, content boundaries are clear (cross-platform vs. Claude-specific). Cross-references prevent drift. Standard format means less decision-making about structure. - -- **Learning curve (2/10)**: Developers need to understand "AGENTS.md for all assistants, CLAUDE.md for Claude features." Clear with simple explanation. Standard location (project root) is familiar. Header in CLAUDE.md explains relationship. - -- **Dependencies introduced (1/10)**: No new dependencies. Using existing standard. Both files are plain markdown. No tooling required. - -**Alternative Analysis**: - -- Alternative 1 (CLAUDE.md only): Simpler (0 additional files) but doesn't solve non-Claude adoption friction. This is maintaining status quo, not solving problem. -- Alternative 2 (Replace CLAUDE.md): Loses Claude-specific optimizations. Not simpler, just different structure. -- Alternative 3 (Multiple AGENTS-*.md files): More complex (multiple files), violates standard. -- Alternative 5 (Defer entirely): Simpler now but misses low-cost opportunity to align with standards. - -Selected alternative is genuinely simpler than alternatives 2 & 3, and actively solves problem that alternative 1 & 5 leave unsolved. - -**Simpler Alternative Proposal**: - -The selected approach (minimal AGENTS.md) already is the simplest approach that solves the problem: - -1. **Minimal Content** (~100-150 lines vs. comprehensive documentation) -2. **Clear Boundaries** (content distribution table prevents scope creep) -3. **Deferred Documentation** (Phase 4 waits for real usage) -4. **Leverages Standard** (don't invent custom format) -5. **Preserves Existing** (CLAUDE.md remains for Claude features) - -**Potential Simplification**: -Could defer entirely and create AGENTS.md only when first non-Claude user requests it. However, this has marginal benefit (saves 2-3 hours) at cost of ongoing friction and repeated explanations. Creating minimal AGENTS.md now is appropriate scope. - -**Recommendation**: ✅ Approve decision with simplifications already applied - -**Justification**: - -This decision appropriately balances current need with future positioning: - -1. **Current Need is Real**: Framework explicitly supports multiple assistants but lacks universal entry point. Non-Claude users face friction today. - -2. **Solution is Standard**: Not inventing custom approach. Using industry standard with 20,000+ projects proves viability and discoverability. - -3. **Implementation is Minimal**: ~2-4 hours total effort. Single additional file. Clear boundaries prevent scope creep. - -4. **Complexity is Low**: 3/10 complexity score. Adding one well-defined file to project root. Standard format reduces decision-making. - -5. **Appropriate Deferrals**: Phase 4 (comprehensive docs, cross-assistant testing) properly deferred until real usage demands it. - -6. **Preserves Claude Advantages**: Doesn't compromise Claude Code's unique capabilities (Skills, MCP, hooks). - -**Pragmatic Score**: -- **Necessity**: 7/10 -- **Complexity**: 3/10 -- **Ratio**: 0.43 *(Target: <1.5 for balanced mode)* ✅ - -**Overall Assessment**: - -This is appropriate engineering for current needs. Framework's value proposition is multi-assistant support, but lacks standard entry point. Solution uses proven standard rather than custom approach. Implementation is minimal with clear boundaries. Comprehensive documentation appropriately deferred until real usage. Complexity-to-necessity ratio (0.43) well below threshold (1.5). - -**Not over-engineering because:** -- Solving real current problem (non-Claude user friction) -- Using standard solution, not custom invention -- Minimal implementation (one file, ~150 lines) -- Appropriate deferrals (extensive docs wait for real usage) -- Low complexity-to-necessity ratio (0.43) - -**Recommendation**: Implement Phase 1-3 immediately, defer Phase 4 until triggered by real usage. - -## Validation - -**Acceptance Criteria:** - -**Phase 1-3 (Immediate):** -- [ ] AGENTS.md template created in `.architecture/templates/` -- [ ] Template includes all standard sections (overview, setup, workflows, references) -- [ ] Content boundaries documented in ADR (completed via table above) -- [ ] CLAUDE.md header added explaining relationship to AGENTS.md -- [ ] Setup process generates AGENTS.md during project initialization -- [ ] AGENTS.md customized based on project technology stack -- [ ] Both files maintained during framework setup -- [ ] Cross-references present in both files - -**Phase 4 (Deferred):** -- [ ] Comprehensive "which file" decision tree (trigger: 3+ questions) -- [ ] Examples for Cursor, Copilot, Jules usage (trigger: first non-Claude adopter) -- [ ] Cross-assistant testing (trigger: 2+ assistants actively using framework) -- [ ] Multi-assistant usage guide (trigger: user requests) - -**Testing Approach:** - -**Phase 1-3:** -1. Test setup process creates both AGENTS.md and CLAUDE.md -2. Verify content boundaries match table in ADR -3. Confirm cross-references work correctly -4. Review AGENTS.md template with sample projects (various tech stacks) -5. Verify AGENTS.md contains only cross-platform instructions - -**Phase 4 (when triggered):** -1. Test framework usage with multiple AI assistants -2. Gather feedback from non-Claude users -3. Identify confusion points about file boundaries -4. Validate cross-assistant workflows -5. Measure adoption friction before/after - -## References - -* [Agents.md Standard](https://agents.md/) - Industry standard for AI agent instructions -* [Architectural Principles](../../principles.md) - Pragmatic Simplicity, Domain-Centric Design -* [Framework Members](../../members.yml) - Architecture review team including Pragmatic Enforcer -* [ADR-002: Pragmatic Guard Mode](./ADR-002-pragmatic-guard-mode.md) - Related decision on pragmatic approach -* [CLAUDE.md](../../../CLAUDE.md) - Current Claude-specific instructions -* [.coding-assistants/](../../../.coding-assistants/) - Existing multi-assistant support - -## Implementation Notes - -**File Location Decisions:** -- AGENTS.md: Project root (standard location per Agents.md spec) -- Template: `.architecture/templates/AGENTS.md` (follows existing template pattern) -- No nested AGENTS.md files initially (defer until monorepo usage emerges) - -**Content Boundary Rules:** - -**Always in AGENTS.md:** -- Framework overview and purpose -- Generic setup instructions -- Core workflows (reviews, ADRs, specialist reviews) -- Pragmatic mode activation (cross-platform) -- Links to .architecture/ artifacts - -**Always in CLAUDE.md:** -- Claude Skills installation and usage -- MCP server integration -- Claude-specific slash commands -- Hooks configuration -- Claude Code-specific request patterns - -**In Both (with different detail levels):** -- Setup process (generic in AGENTS.md, Claude-optimized in CLAUDE.md) -- Architecture reviews (how to request in AGENTS.md, Skills usage in CLAUDE.md) -- ADR creation (basic process in AGENTS.md, MCP tools in CLAUDE.md) - -**Migration Strategy:** - -No migration needed for existing projects - they can continue using CLAUDE.md only. New projects created with updated setup process get both files. Existing projects can add AGENTS.md if they want to support multiple assistants. - -**Rollout Plan:** - -1. **Week 1**: Create templates and update setup process -2. **Week 1**: Test with sample project setup -3. **Week 1**: Update framework documentation -4. **Ongoing**: Monitor for Phase 4 trigger conditions -5. **As needed**: Expand AGENTS.md based on real usage patterns - ---- - -**Decision Date**: 2025-11-20 -**Implementation Date**: 2025-11-20 -**Status**: Accepted - Phase 1-3 Complete -**Author**: Collaborative architectural analysis (Systems Architect, AI Engineer, Domain Expert, Maintainability Expert, Security Specialist, Pragmatic Enforcer) - -## Implementation Results - -**Phase 1-3 Completed**: 2025-11-20 (~1.5 hours) - -**Deliverables:** -- ✅ `.architecture/templates/AGENTS.md` - 9.7 KB template with placeholders -- ✅ `CLAUDE.md` - Updated with "About This File" section and AGENTS.md references -- ✅ Setup process modified to generate AGENTS.md during project initialization -- ✅ Content boundaries validated against distribution table -- ✅ Cross-references implemented in both files - -**Validation:** -- All Phase 1-3 acceptance criteria met -- Content distribution matches ADR specification -- Pragmatic score maintained: 0.43 (complexity/necessity ratio) -- Implementation time within estimates - -**Phase 4 Status**: Deferred, tracking trigger conditions: -- First non-Claude adopter feedback -- 3+ questions about file boundaries -- 2+ assistants actively using framework -- User requests for comprehensive cross-assistant guide - -**Next Steps**: -- Monitor Phase 4 trigger conditions -- Gather feedback from new framework installations -- Track adoption across different AI assistants -- Update documentation based on real usage patterns diff --git a/.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md b/.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md deleted file mode 100644 index d5e8587..0000000 --- a/.architecture/decisions/adrs/ADR-004-implementation-command-configuration.md +++ /dev/null @@ -1,560 +0,0 @@ -# ADR-004: Implementation Command with Configuration - -## Status - -Accepted - -**Implementation Date**: 2025-11-20 - -## Context - -Users of the AI Software Architect framework currently need to specify implementation methodology, coding influences, and practices in every implementation session through lengthy prompts. - -### Current User Workflow - -A typical implementation request looks like: - -> "Implement the next steps iteratively as the software architects, specifically the pragmatic enforcer. Follow TDD taking inspiration from Gary Bernhardt (from Destroy All Software). Refactor as needed following best-practices taking inspiration from Sandi Metz, Kent Beck, and Martin Fowler. Glean ruby design inspiration from Jeremy Evans and Vladimir Dementyev." - -**Characteristics:** -- **Verbose**: 40+ words to specify methodology and influences -- **Repetitive**: Same guidance needed every implementation session -- **Inconsistent**: Easy to forget key influences or practices -- **Context Loss**: Preferences don't persist between sessions -- **Manual**: Requires careful prompt crafting each time - -### Problem Impact - -**User Pain Points:** -1. **Prompt Fatigue**: Typing long prompts repeatedly -2. **Inconsistency**: Different sessions may omit influences -3. **Context Loss**: No memory of successful approaches -4. **Onboarding Friction**: New team members don't know team standards -5. **Quality Variance**: Implementation quality depends on prompt completeness - -**Time Cost:** -- Average prompt: ~40 words, ~30 seconds to type -- Multiple implementations per day -- Cumulative: Hours per week on repetitive prompting - -### Desired Workflow - -**Simple command:** -``` -"Implement authentication as the architects" -``` - -**AI behavior:** -1. Recognizes implementation command -2. Reads `.architecture/config.yml` implementation section -3. Applies configured methodology (TDD, BDD, etc.) -4. References configured influences (Kent Beck, Sandi Metz, etc.) -5. Uses language-specific practices -6. Implements with full context automatically - -**Result:** -- 90% reduction in prompt length (40 words → 4 words) -- 100% consistency (config always applied) -- Zero context loss (config persists) -- Better quality (systematic application of best practices) - -### Existing Pattern in Framework - -This follows the **pragmatic_mode** pattern in config.yml: - -```yaml -# Existing: Pragmatic Mode -pragmatic_mode: - enabled: true - intensity: balanced - apply_to: - individual_reviews: true -``` - -```yaml -# New: Implementation Configuration -implementation: - enabled: true - methodology: "TDD" - influences: [...] -``` - -Same structure, same file, same configuration-driven behavior pattern. - -## Decision Drivers - -* **Real User Need**: User has this workflow today (not speculative) -* **High Value**: 90% reduction in prompt length, consistent quality -* **Low Complexity**: Follows existing config.yml pattern -* **Backward Compatible**: Optional feature, doesn't affect existing projects -* **Cross-Assistant**: Works with all AI assistants via AGENTS.md -* **Quality Improvement**: Systematic application of best practices -* **Knowledge Capture**: Team standards documented in config -* **Pragmatic Assessment**: Necessity 8/10, Complexity 3/10, Ratio 0.375 ✅ - -## Decision - -We will implement an **"Implement as the Architects" command** backed by configuration in `.architecture/config.yml` that specifies: - -1. **Development Methodology**: TDD, BDD, DDD, Test-Last, Exploratory, or custom -2. **Coding Influences**: Thought leaders and authorities (Kent Beck, Sandi Metz, etc.) -3. **Language-Specific Practices**: Idioms, conventions, frameworks -4. **Testing Approach**: Framework, style, coverage goals -5. **Refactoring Guidelines**: When and how to refactor -6. **Quality Standards**: Definition of done -7. **Security Practices**: Mandatory security requirements - -**Command Recognition:** -- "Implement X as the architects" → Apply configuration -- "Implement as the architects" → Apply with prior context -- "Implement X as [specific architect]" → Use member's methodology - -**Configuration-Driven Behavior:** -``` -User Command → Read config.yml → Extract implementation section → Apply methodology + influences + practices → Implement -``` - -**Architectural Components Affected:** -* `.architecture/templates/config.yml` - Add implementation section -* `CLAUDE.md` - Add command recognition and application logic -* `AGENTS.md` - Document cross-platform usage -* `.architecture/members.yml` - Optional: methodology fields for members - -**Interface Changes:** -* New command pattern recognized by AI assistants -* Configuration controls implementation behavior -* Optional per-project customization -* Integration with existing architecture process - -## Implementation - -### Phase 1: Core Feature (Implement Now - ~1 hour) - -**Deliverable 1: Enhanced config.yml Template** (20 minutes) - -Add implementation section to `.architecture/templates/config.yml`: - -```yaml -# ============================================================================== -# IMPLEMENTATION GUIDANCE -# ============================================================================== -# Configure how AI assistants implement features when you use: -# "Implement X as the architects" - -implementation: - enabled: true - methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory - - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - - languages: - ruby: - style_guide: "Rubocop" - idioms: "Blocks over loops, meaningful names" - - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "Code reviewed" -``` - -**Deliverable 2: Command Recognition in CLAUDE.md** (20 minutes) - -Add "Implementation Command Recognition" section: -- Pattern recognition logic -- Configuration reading process -- Methodology application guidance -- Examples of usage - -**Deliverable 3: Cross-Platform Documentation in AGENTS.md** (20 minutes) - -Add "Implementing Features with Configured Methodology" section: -- How to configure -- How to use commands -- Example configurations for common workflows -- Cross-assistant compatibility notes - -**Timeline:** 1 hour total - -### Phase 2: Deferred Enhancements - -**Track Trigger Conditions:** - -**Global User Configuration** (~/.architecture/config.yml) -- **Trigger**: 3+ users request personal defaults across projects -- **Trigger**: "How do I set this for all my projects?" -- **Effort**: ~2 hours - -**Member Methodology Fields** (members.yml) -- **Trigger**: Users want "Implement X as [specific member]" -- **Trigger**: Need different methodologies per architect -- **Effort**: ~1 hour - -**Implementation Validation/Reporting** -- **Trigger**: Users request compliance checking -- **Trigger**: "Verify TDD was followed" -- **Effort**: ~4 hours - -**Language-Specific Profiles** -- **Trigger**: Multi-language projects need per-language configs -- **Trigger**: "Different methodology for frontend vs backend" -- **Effort**: ~3 hours - -## Configuration Structure - -### Minimal Configuration (Quick Start) - -```yaml -implementation: - enabled: true - methodology: "TDD" - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" -``` - -### Complete Configuration (Full Options) - -```yaml -implementation: - enabled: true - - # Primary development methodology - methodology: "TDD" - - # Coding influences - influences: - - "Kent Beck - TDD by Example (methodology)" - - "Gary Bernhardt - Destroy All Software (TDD techniques)" - - "Sandi Metz - POODR, 99 Bottles (OO design)" - - "Martin Fowler - Refactoring (patterns)" - - "Jeremy Evans - Roda, Sequel (Ruby idioms)" - - "Vladimir Dementyev - Modern Ruby practices" - - # Language-specific practices - languages: - ruby: - style_guide: "Rubocop" - idioms: "Prefer blocks, meaningful names, Ruby 3+ features" - frameworks: - rails: "Follow conventions, service objects for complex logic" - - # Testing approach - testing: - framework: "RSpec" - style: "Outside-in TDD (Detroit school)" - approach: "Mock judiciously, prefer real objects" - speed: "Fast unit tests (<100ms)" - - # Refactoring guidelines - refactoring: - when: - - "After tests green (red-green-REFACTOR)" - - "When code smells emerge" - - "Rule of Three: refactor on third occurrence" - principles: - - "Small methods (≤5 lines per Sandi Metz)" - - "Clear names over comments" - - # Quality standards - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "No code smells" - - "Code reviewed" - priorities: - - "Clarity first" - - "Simplicity second" - - "Performance third" - - # Security practices (always applied) - security: - mandatory_practices: - - "Input validation" - - "Output encoding" - - "Parameterized queries" -``` - -### Example: User's Ruby TDD Workflow - -```yaml -implementation: - enabled: true - methodology: "TDD" - - influences: - - "Kent Beck - TDD by Example" - - "Gary Bernhardt - Destroy All Software" - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - - "Jeremy Evans - Roda, Sequel patterns" - - "Vladimir Dementyev - Modern Ruby" - - languages: - ruby: - style_guide: "Rubocop" - idioms: "Blocks over loops, meaningful names" - - testing: - framework: "RSpec" - style: "Outside-in TDD" - - refactoring: - when: ["After tests green", "When smells emerge"] - principles: ["Small methods", "Clear names"] - - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "Code reviewed" -``` - -## Alternatives Considered - -### Alternative 1: Do Nothing (Status Quo) - -**Description**: Continue with manual prompts each session - -**Pros:** -* Zero implementation effort -* No added complexity -* No maintenance burden - -**Cons:** -* User continues repetitive prompting forever -* Quality inconsistency continues -* No team standards documentation -* Context loss between sessions - -**Rejected**: Doesn't solve user's real, ongoing pain point - -### Alternative 2: Documentation File (implementation.md) - -**Description**: Create markdown file with implementation guidance for AI to read - -**Pros:** -* Human-readable prose -* Can include detailed examples -* Flexible format - -**Cons:** -* Harder for AI to parse than YAML -* Separate file to maintain -* Not configuration-driven (less structured) -* Doesn't follow existing patterns - -**Rejected**: More complex than config approach, doesn't leverage existing patterns - -### Alternative 3: Member Enhancement Only - -**Description**: Add methodology fields to members.yml, no separate config - -**Pros:** -* Single file modification -* Leverages existing member system - -**Cons:** -* Mixes architecture members with implementation preferences -* Less flexible (tied to member roles) -* Doesn't fit user's workflow (they want general config, not member-specific) - -**Rejected**: Conflates two concerns (architecture perspective vs implementation methodology) - -### Alternative 4: Configuration Approach (Selected) - -**Description**: Add implementation section to config.yml, following pragmatic_mode pattern - -**Pros:** -* Follows existing pattern (pragmatic_mode) -* Leverages existing config system -* Clear, structured YAML (easy AI parsing) -* Optional (backward compatible) -* Simple to maintain -* Low implementation effort (~1 hour) - -**Cons:** -* One more configuration section -* Requires documentation - -**Selected**: Best balance of simplicity, effectiveness, and consistency with existing framework - -## Consequences - -### Positive - -* **Dramatic Efficiency Gain**: 90% reduction in prompt length (40 words → 4 words) -* **Consistent Quality**: Methodology applied systematically to all implementations -* **Knowledge Preservation**: Team standards documented in version control -* **Better Onboarding**: New developers see documented practices -* **Context Persistence**: Preferences don't get lost between sessions -* **Cross-Session Consistency**: Same approach across all implementations -* **Team Alignment**: Shared configuration ensures team consistency -* **Quality Improvement**: Best practices (Metz, Fowler, Beck) applied systematically -* **Faster Implementation**: Less time crafting prompts, more time building -* **Backward Compatible**: Existing projects unaffected (optional feature) -* **Simple Implementation**: 1 hour effort for high-value feature -* **Follows Existing Pattern**: Consistent with pragmatic_mode design -* **Cross-Assistant Compatible**: Works with Claude, Cursor, Copilot, etc. - -### Negative - -* **Configuration Overhead**: Users must configure once (small one-time cost) -* **Learning Curve**: Users need to understand config structure (mitigated by examples) -* **Maintenance**: Config needs updates as practices evolve (natural evolution) -* **Potential Rigidity**: Config might feel constraining (mitigated by optional flag) -* **AI Dependency**: Relies on AI reading/applying config correctly (testable) - -### Neutral - -* **New Command Pattern**: Adds to framework's command vocabulary -* **Configuration Growth**: config.yml gains another section (follows existing pattern) -* **Documentation Addition**: AGENTS.md and CLAUDE.md gain new sections -* **Usage Evolution**: Changes how users interact with framework during implementation - -## Pragmatic Enforcer Analysis - -**Mode**: Balanced - -**Overall Decision Complexity Assessment**: -This decision adds a configuration section following an existing pattern (pragmatic_mode). Minimal implementation (~1 hour) for high user value (90% prompt reduction). Solves a real, current user pain point with a simple, proven approach. - -**Decision Challenge**: None - this is appropriately scoped - -**Proposed Decision**: "Add implementation command with config.yml configuration" - -**Necessity Assessment**: 8/10 -- **Current need**: User has this workflow today (repetitive prompts) -- **Future need**: Team standards documentation, onboarding support -- **Cost of waiting**: Ongoing pain, quality inconsistency -- **Evidence of need**: User explicitly requests, describes actual workflow - -**Complexity Assessment**: 3/10 -- **Added complexity**: Single config section (~50 lines) -- **Maintenance burden**: Update config as preferences evolve (natural) -- **Learning curve**: Similar to pragmatic_mode (existing pattern) -- **Dependencies introduced**: None (uses existing config system) - -**Alternative Analysis**: -- Status quo: Simpler (zero effort) but doesn't solve problem -- Documentation file: More complex (new file, parsing prose) -- Member enhancement: Conflates concerns -- **Configuration: Simplest solution that solves problem** - -**Simpler Alternative Proposal**: None - this is already minimal - -**Recommendation**: ✅ Approve decision as proposed - -**Justification**: -This is pragmatic engineering - solving a real current need with minimal implementation following existing patterns. High value (90% prompt reduction) for low cost (1 hour, simple config section). Not over-engineering because: -- Solves actual user workflow (not speculation) -- Follows existing pattern (configuration-driven) -- Minimal scope (just config + command) -- Defers enhancements until triggered - -**Pragmatic Score**: -- **Necessity**: 8/10 -- **Complexity**: 3/10 -- **Ratio**: 3/8 = 0.375 ✅ (well below 1.5 threshold for balanced mode) - -**Overall Assessment**: -Appropriate engineering for real need. Simple, effective, pragmatic. - -## Validation - -**Acceptance Criteria:** - -**Phase 1 (Core Feature):** -- [ ] implementation section exists in `.architecture/templates/config.yml` -- [ ] Command recognition documented in CLAUDE.md -- [ ] Cross-platform usage documented in AGENTS.md -- [ ] Example provided for Ruby TDD workflow -- [ ] All fields properly commented and explained -- [ ] AI assistants can read and apply configuration -- [ ] User can say "Implement X as the architects" and it works -- [ ] No breaking changes to existing projects -- [ ] Setup process optionally customizes implementation config - -**Phase 2 (Deferred):** -- [ ] Global configuration (trigger conditions met) -- [ ] Member methodology fields (trigger conditions met) -- [ ] Validation/reporting (trigger conditions met) -- [ ] Language profiles (trigger conditions met) - -**Testing Approach:** - -**Manual Testing:** -1. Configure implementation section with Ruby TDD example -2. Issue command: "Implement authentication as the architects" -3. Verify AI reads configuration -4. Verify AI applies TDD methodology -5. Verify AI references influences (Kent Beck, Sandi Metz, etc.) -6. Verify tests written first -7. Verify refactoring after tests green -8. Verify Ruby idioms used - -**Evidence of Correct Application:** -- Test files exist (TDD followed) -- Tests written before implementation (git history) -- Refactoring commits separate from feature commits -- Small methods, clear names (Sandi Metz principles) -- Ruby idioms present (blocks, meaningful names) -- Rubocop passing (if configured) - -**Success Metrics:** -- Prompt length reduced from 40 words to 4 words (90% reduction) -- User satisfaction (subjective feedback) -- Code quality improvement (test coverage, style compliance) -- Consistency across implementations (code review verification) - -## References - -* [Architecture Review: Implementation Command Configuration](../../reviews/feature-implementation-command-configuration.md) -* [Architectural Principles](../../principles.md) - Pragmatic Simplicity -* [ADR-002: Pragmatic Guard Mode](./ADR-002-pragmatic-guard-mode.md) - Related configuration pattern -* [Configuration File](../../config.yml) - Existing pragmatic_mode pattern - -## Future Considerations - -The following enhancements are deferred until triggered by real usage: - -### Global User Configuration (Deferred) - -Allow users to set personal defaults in `~/.architecture/config.yml`: -- **Trigger**: 3+ users request "how do I set this for all my projects?" -- **Effort**: ~2 hours -- **Value**: Personal preferences across projects - -### Member Methodology Integration (Deferred) - -Add methodology fields to members.yml for "Implement as [member]": -- **Trigger**: Users want specific architect implementation approaches -- **Effort**: ~1 hour -- **Value**: Architect-specific implementation styles - -### Implementation Validation (Deferred) - -Verify methodology adherence via git history and code analysis: -- **Trigger**: Users request "verify TDD was followed" -- **Effort**: ~4 hours -- **Value**: Compliance checking, learning feedback - -### Language-Specific Profiles (Deferred) - -Complex multi-language projects with per-language configurations: -- **Trigger**: "Different methodology for frontend vs backend" -- **Effort**: ~3 hours -- **Value**: Polyglot project support - ---- - -**Decision Date**: 2025-11-20 -**Implementation Date**: 2025-11-20 -**Status**: Accepted - Phase 1 In Progress -**Author**: Collaborative architectural analysis (all 7 architecture team members) -**Next Steps**: Implement Phase 1 (config.yml, CLAUDE.md, AGENTS.md) diff --git a/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md b/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md deleted file mode 100644 index 8791af3..0000000 --- a/.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md +++ /dev/null @@ -1,263 +0,0 @@ -# ADR-005: LLM Instruction Capacity Constraints - -## Status - -Accepted - -## Context - -Through analysis of HumanLayer's research-backed article "Writing a Good CLAUDE.md" (December 2024), we discovered critical limitations in LLM instruction-following capacity that directly impact the effectiveness of our framework's AI assistant documentation. - -**Key Research Findings:** -- Frontier LLMs reliably follow approximately 150-200 discrete instructions -- Claude Code's system prompt already contains ~50 instructions -- This leaves only 100-150 instructions for project-specific guidance -- LLM performance degrades when instruction density exceeds optimal capacity - -**Current State:** -- Our CLAUDE.md file contains 572 lines of documentation -- Estimated ~100 discrete instructions in current CLAUDE.md -- At or exceeding optimal instruction capacity -- Includes significant content that is rarely relevant (setup procedures, update procedures) -- No awareness of or accounting for instruction capacity constraints - -**Problem Statement:** -Without understanding and respecting LLM instruction capacity constraints, we risk: -1. Degraded AI assistant performance due to cognitive overload -2. Important instructions being ignored or deprioritized -3. Inefficient use of our limited instruction budget -4. Documentation that actively harms rather than helps AI assistant effectiveness - -**Claude Code Behavior:** -Claude Code injects a system reminder stating context "may or may not be relevant to tasks" and actively filters out non-universally-applicable instructions. This explains why task-specific procedures (like setup instructions) may not be reliably followed even when present in CLAUDE.md. - -## Decision Drivers - -* **Performance Impact**: Exceeding instruction capacity degrades AI assistant effectiveness across all workflows -* **Research-Backed**: HumanLayer findings supported by empirical evidence and industry consensus -* **Framework Scope**: As a framework for AI-assisted architecture, we must model best practices -* **User Experience**: Poor instruction density directly impacts user's experience with framework -* **Maintenance Burden**: Understanding constraints enables better documentation decisions -* **Competitive Advantage**: Optimized AI assistant onboarding differentiates our framework - -## Decision - -We formally recognize and adopt LLM instruction capacity constraints as a foundational principle for all AI assistant documentation in the AI Software Architect framework. - -**Core Principle:** -All documentation intended for AI assistant consumption (CLAUDE.md, AGENTS.md, .architecture/agent_docs/) must respect the ~150-200 instruction capacity limit, accounting for the ~50 instructions already used by Claude Code's system prompt. - -**Specific Constraints:** -1. **CLAUDE.md Target**: < 30 discrete instructions (budget for 100-line file) -2. **Total AI Documentation**: < 100 instructions across all files loaded in a single context -3. **Instruction Definition**: A discrete instruction is any directive that requires the AI to take action, make a decision, or follow a specific procedure -4. **Universal Applicability**: Only instructions that are relevant to ≥80% of interactions should be in CLAUDE.md - -**Architectural Components Affected:** -* CLAUDE.md (primary impact) -* AGENTS.md (secondary review needed) -* Future .architecture/agent_docs/ structure (guided by this constraint) -* Documentation templates and guidelines - -**Interface Changes:** -* No code interface changes -* Documentation structure changes (see ADR-006 for implementation) -* Quality standards for documentation contributions - -## Consequences - -### Positive - -* **Improved AI Performance**: Staying within instruction capacity ensures reliable instruction following -* **Better Prioritization**: Forces us to identify truly essential vs. nice-to-have documentation -* **Clearer Documentation**: Constraint drives clarity and conciseness -* **Measurable Quality**: Provides quantitative metric for documentation quality -* **Future-Proof**: Principle applies to all current and future LLMs -* **Competitive Advantage**: Optimized AI assistant effectiveness differentiates our framework -* **Educational Value**: Users learn best practices they can apply to their own projects - -### Negative - -* **Content Limitations**: Cannot include everything we might want in CLAUDE.md -* **Harder Documentation**: Writing concise, high-value content requires more effort -* **Measurement Overhead**: Need to count and evaluate instructions -* **Potential User Confusion**: Users might expect comprehensive documentation in one place -* **Migration Effort**: Existing documentation must be refactored - -### Neutral - -* **Different Structure Required**: Drives need for progressive disclosure pattern (ADR-006) -* **Documentation Becomes Multi-File**: Single CLAUDE.md splits into main file + supporting docs -* **Ongoing Maintenance**: Requires periodic review of instruction counts -* **Documentation Process Changes**: Review processes must include instruction counting - -## Implementation - -**Phase 1: Establish Measurement Standards (Immediate)** -* Define what constitutes a "discrete instruction" -* Create instruction counting methodology -* Document examples of instruction types -* Add instruction count targets to documentation guidelines - -**Phase 2: Audit Current Documentation (Week 1)** -* Count instructions in current CLAUDE.md -* Categorize by: always-relevant, frequently-relevant, rarely-relevant, task-specific -* Identify which instructions are most critical -* Identify which instructions have low ROI given their instruction cost - -**Phase 3: Refactor to Meet Constraints (Week 1-2)** -* Implement progressive disclosure pattern (ADR-006) -* Reduce CLAUDE.md to < 30 instructions -* Move task-specific content to .architecture/agent_docs/ -* Validate instruction counts in refactored structure - -**Phase 4: Establish Ongoing Governance (Week 2+)** -* Add instruction count checks to documentation review process -* Create quarterly review process for instruction relevance -* Monitor user feedback on documentation effectiveness -* Iterate based on real-world usage patterns - -## Alternatives Considered - -### Alternative 1: Ignore Instruction Capacity Constraints - -**Description:** Continue with current approach, assuming LLMs can handle arbitrary instruction density. - -**Pros:** -* No changes required -* Can include comprehensive documentation in one place -* Simpler mental model for users - -**Cons:** -* Ignores research findings -* Degraded AI assistant performance -* Framework fails to model best practices -* User experience suffers -* Competitive disadvantage - -**Decision:** Rejected. The research is clear and the performance impact is real. - -### Alternative 2: Rely Purely on Task Tool Context Loading - -**Description:** Minimal CLAUDE.md, rely entirely on Claude Code's Task tool to load relevant context when needed. - -**Pros:** -* Extreme clarity on what's always-loaded -* Maximum instruction capacity available for task-specific context -* Forces modular documentation - -**Cons:** -* Extra step for every task (launching Task tool) -* Potential performance overhead -* Less immediate access to common workflows -* May frustrate users with repeated context loading - -**Decision:** Rejected as too extreme. Balanced approach with ~30 instructions in CLAUDE.md and progressive disclosure is more user-friendly. - -### Alternative 3: Separate CLAUDE.md Per Workflow - -**Description:** Multiple CLAUDE-*.md files (CLAUDE-setup.md, CLAUDE-review.md, etc.), user activates relevant one. - -**Pros:** -* Clear separation of concerns -* Each workflow gets full instruction budget -* Easy to add new workflows - -**Cons:** -* Requires manual activation -* User confusion about which file to use -* Doesn't align with how Claude Code loads context -* More complex mental model - -**Decision:** Rejected. Doesn't align with Claude Code's context loading behavior. Progressive disclosure (ADR-006) achieves similar benefits more naturally. - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -**Overall Decision Complexity Assessment**: -This decision addresses a current, concrete problem (AI assistant performance degradation) with research-backed evidence. It adds no implementation complexity but rather constrains documentation to be simpler. This is an appropriate application of external research to improve system effectiveness. - -**Decision Challenge**: - -**Proposed Decision**: "Formally recognize and adopt LLM instruction capacity constraints (~150-200 instructions) as a foundational principle for all AI assistant documentation" - -**Necessity Assessment**: 8/10 -- **Current need**: We currently exceed optimal instruction density (572 lines, ~100 instructions) -- **Future need**: Will remain critical as framework grows and users add content -- **Cost of waiting**: Continued degraded AI assistant performance, poor user experience -- **Evidence of need**: Research-backed findings, industry consensus, explains current issues - -**Complexity Assessment**: 2/10 -- **Added complexity**: Minimal - adds a constraint, doesn't add features -- **Maintenance burden**: Low - periodic counting and review -- **Learning curve**: Low - straightforward principle to understand -- **Dependencies introduced**: None - constrains existing practices - -**Alternative Analysis**: -The alternatives were adequately considered: -- "Do nothing" (Alternative 1) properly rejected based on evidence -- "Extreme minimal" (Alternative 2) appropriately rejected as over-optimization -- "Multiple files" (Alternative 3) appropriately rejected for UX concerns - -The selected approach is the middle ground: establish the principle and apply it reasonably. - -**Simpler Alternative Proposal**: -The selected approach IS the simpler alternative. Alternative approaches were either: -- Ignoring the problem (simpler but wrong) -- Over-engineering the solution (more complex) - -This decision adds a constraint that drives simplicity rather than adding complexity. - -**Recommendation**: ✅ Approve decision - -**Justification**: -This decision is exemplary pragmatic engineering: -1. **Evidence-based**: Grounded in research, not speculation -2. **Addresses current problem**: We exceed instruction capacity now -3. **Drives simplicity**: Constraint forces clearer, more concise documentation -4. **Low complexity cost**: No implementation complexity, only documentation discipline -5. **High value**: Directly improves AI assistant effectiveness (core framework value) - -This is exactly the kind of decision pragmatic mode supports: solving a real, current problem with a simple constraint that improves quality. - -**Pragmatic Score**: -- **Necessity**: 8/10 -- **Complexity**: 2/10 -- **Ratio**: 0.25 (Well under target of <1.5) - -**Overall Assessment**: -This represents appropriate engineering for a current need. The constraint drives simplicity and quality without adding system complexity. Strong approval from pragmatic perspective. - -## Validation - -**Acceptance Criteria:** -- [x] Research findings documented -- [x] Instruction capacity limits defined -- [x] Impact on current documentation assessed -- [x] CLAUDE.md refactored to meet constraints (572 → 126 lines, ~14 instructions) -- [x] .architecture/agent_docs/ structure implemented (workflows.md, reference.md, README.md) -- [x] Instruction counting methodology defined (instruction-counting-methodology.md) -- [x] Documentation guidelines updated (documentation-guidelines.md) -- [x] Quarterly review process established (quarterly-review-process.md) - -**Testing Approach:** -* Manual instruction counting in CLAUDE.md -* User feedback on AI assistant effectiveness before/after refactoring -* Monitor task completion rates and user satisfaction -* A/B testing if feasible (users with old vs. new documentation structure) -* Track documentation maintenance burden over time - -**Success Metrics:** -* CLAUDE.md instruction count: < 30 -* CLAUDE.md line count: < 100 -* User-reported AI assistant effectiveness: > 8/10 -* Documentation relevance: > 80% of content used in > 80% of sessions - -## References - -* [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) -* [Architecture Review: CLAUDE.md Best Practices](./../reviews/claude-md-best-practices-humanlayer-article.md) -* [ADR-006: Progressive Disclosure Pattern](./ADR-006-progressive-disclosure-pattern.md) -* Research on LLM instruction-following capacity (referenced in HumanLayer article) diff --git a/.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md b/.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md deleted file mode 100644 index 51a02ba..0000000 --- a/.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md +++ /dev/null @@ -1,510 +0,0 @@ -# ADR-006: Progressive Disclosure Pattern for AI Assistant Documentation - -## Status - -Accepted - -## Context - -Following ADR-005's establishment of LLM instruction capacity constraints, we need a concrete architectural pattern for structuring our AI assistant documentation. Our current 572-line CLAUDE.md file exceeds optimal instruction density and loads content that is rarely relevant to most user interactions. - -**Current Documentation Structure:** -``` -CLAUDE.md (572 lines, ~100 instructions) - ├── Setup procedures (used once per project) - ├── Update procedures (used rarely) - ├── Implementation methodology (used occasionally) - ├── Review workflows (used frequently) - └── Pragmatic mode details (used occasionally) -``` - -**Problems with Current Structure:** -1. **Instruction Waste**: Setup procedures (~20 instructions) loaded in every interaction but used once per project -2. **Cognitive Overload**: All content presented equally, no prioritization -3. **Maintenance Burden**: Monolithic file difficult to update and review -4. **Performance Impact**: Claude Code spends time processing rarely-relevant instructions -5. **User Experience**: No clear path to task-specific guidance - -**Progressive Disclosure Concept:** -Progressive disclosure is a UX pattern where information is revealed incrementally, showing only what's immediately relevant and providing paths to deeper details. This pattern: -- Reduces cognitive load -- Improves discoverability -- Enhances maintainability -- Aligns with how users actually work - -**Industry Best Practices:** -HumanLayer's research-backed recommendations: -- Main CLAUDE.md: < 60-100 lines, high-leverage content only -- Task-specific docs: Separate markdown files referenced from main file -- Use `file:line` pointers, not embedded content -- Match user's task language in references - -**Claude Code Behavior:** -- Injects "may or may not be relevant" system reminder -- Actively filters non-universally-applicable instructions -- Task tool can load additional context when needed -- Processes main CLAUDE.md for every interaction - -## Decision Drivers - -* **Instruction Capacity**: Must respect ~30 instruction limit for CLAUDE.md (ADR-005) -* **User Workflow Patterns**: Most interactions involve reviews and ADRs, not setup -* **Maintainability**: Modular structure easier to maintain than monolithic file -* **Performance**: Reducing main file size improves processing time -* **Discoverability**: Clear pointers help users find relevant guidance -* **Industry Alignment**: Matches research-backed best practices -* **Framework Philosophy**: Models excellent practices for users to adopt - -## Decision - -We adopt the **Progressive Disclosure Pattern** for all AI assistant documentation in the AI Software Architect framework. - -**Core Pattern:** -1. **Primary File (CLAUDE.md)**: Minimal, always-relevant content with clear pointers to detailed guides -2. **Secondary Files (.architecture/agent_docs/)**: Task-specific, detailed procedural guidance -3. **Pointer References**: Brief descriptions in primary file, full details in secondary files -4. **Frequency-Based Prioritization**: Content organized by usage frequency - -**New Documentation Structure:** -``` -CLAUDE.md (< 100 lines, < 30 instructions) - ├── Project overview (WHAT/WHY) - ├── Directory structure - ├── Quick reference with pointers - └── Critical always-relevant guidelines - -.architecture/agent_docs/ - ├── setup-guide.md (setup procedures, detailed) - ├── review-workflows.md (architecture review processes) - ├── adr-creation.md (ADR creation guidance) - ├── implementation-guide.md (methodology details) - ├── pragmatic-mode-guide.md (YAGNI enforcement) - └── troubleshooting.md (common issues and solutions) -``` - -**Content Allocation Rules:** - -| Content Category | Inclusion Rule | Destination | -|-----------------|----------------|-------------| -| Always Relevant (100% of interactions) | Include fully | CLAUDE.md | -| Frequently Relevant (>50% of interactions) | Include summary + pointer | CLAUDE.md + .architecture/agent_docs/ | -| Occasionally Relevant (10-50% of interactions) | Pointer only | .architecture/agent_docs/ | -| Rarely Relevant (<10% of interactions) | Pointer only | .architecture/agent_docs/ | - -**CLAUDE.md Content (Always-Relevant Only):** -- Project overview (WHAT: framework purpose) -- Architecture principles (WHY: structured documentation) -- Directory structure (HOW: where things live) -- Quick reference table (WHERE: pointers to guides) -- Critical guidelines (cross-cutting concerns) - -**.architecture/agent_docs/ Content (Task-Specific Details):** -- Step-by-step procedures -- Detailed examples -- Edge cases and troubleshooting -- Configuration details -- Methodology explanations - -**Pointer Format:** -```markdown -## Quick Reference - -| Task | Guide | Quick Description | -|------|-------|-------------------| -| Setup Framework | [.architecture/agent_docs/setup-guide.md](.architecture/agent_docs/setup-guide.md) | Initial framework installation and customization | -| Architecture Reviews | [.architecture/agent_docs/review-workflows.md](.architecture/agent_docs/review-workflows.md) | Multi-perspective architectural analysis | -| Create ADRs | [.architecture/agent_docs/adr-creation.md](.architecture/agent_docs/adr-creation.md) | Document architectural decisions | -``` - -**Architectural Components Affected:** -* CLAUDE.md (major refactoring) -* New .architecture/agent_docs/ directory structure -* Documentation templates -* Setup/onboarding process -* User documentation - -**Interface Changes:** -* CLAUDE.md becomes index/quick-reference rather than comprehensive guide -* New .architecture/agent_docs/ directory must be created during framework setup -* Documentation update process changes to multi-file model - -## Consequences - -### Positive - -* **Instruction Optimization**: Reduces CLAUDE.md to ~30 instructions, respecting capacity limits -* **Improved Performance**: Faster processing of always-relevant content -* **Better Maintainability**: Modular files easier to update and review -* **Enhanced Discoverability**: Clear pointers help users find what they need -* **Focused Context**: Each file provides deep context for specific task -* **Scalability**: Easy to add new guides without bloating main file -* **User Experience**: Matches how users actually work (task-oriented) -* **Models Best Practices**: Demonstrates progressive disclosure for users to adopt -* **Reduced Cognitive Load**: Users and AI see only relevant content -* **Flexibility**: Can load task-specific context via Task tool when needed - -### Negative - -* **Navigation Overhead**: Users must navigate to separate files for details -* **More Files**: Increased file count to manage -* **Potential Confusion**: Users might not know which file to check -* **Migration Effort**: Significant refactoring of existing CLAUDE.md -* **Documentation Debt**: Need to keep pointers accurate as files evolve -* **Learning Curve**: Users familiar with old structure must adapt -* **Duplication Risk**: Might repeat content across files if not careful - -### Neutral - -* **Multi-File Structure**: Trade monolithic simplicity for modular complexity -* **Maintenance Process Changes**: Different workflow for documentation updates -* **Pointer Management**: New responsibility to keep references accurate -* **Version Coordination**: Multiple files must stay in sync -* **Search Impact**: Searching within CLAUDE.md finds less, must search .architecture/agent_docs/ - -## Implementation - -**Phase 1: Create Infrastructure (Week 1)** - -**Step 1.1: Create .architecture/agent_docs/ Directory Structure** -```bash -mkdir -p agent_docs -touch .architecture/agent_docs/setup-guide.md -touch .architecture/agent_docs/review-workflows.md -touch .architecture/agent_docs/adr-creation.md -touch .architecture/agent_docs/implementation-guide.md -touch .architecture/agent_docs/pragmatic-mode-guide.md -touch .architecture/agent_docs/troubleshooting.md -``` - -**Step 1.2: Extract Content from CLAUDE.md** -- **setup-guide.md**: Lines 27-86 (Setup Requests section) -- **update-guide.md**: Lines 87-144 (Update Framework Requests section) -- **implementation-guide.md**: Lines 146-315 (Implementation Command Recognition section) -- **review-workflows.md**: Lines 317-349 (Specific Architect Reviews + Full Architecture Reviews) -- **pragmatic-mode-guide.md**: Lines 351-434 (Pragmatic Guard Mode Requests section) - -**Step 1.3: Rewrite CLAUDE.md as Quick Reference** - -Create new CLAUDE.md structure: -```markdown -# CLAUDE.md - -## About This Project - -AI Software Architect is a framework for organizing and structuring software -architecture design with support for multiple AI coding assistants. - -[Brief overview, 10-15 lines] - -## Quick Reference - -[Table of common workflows with pointers to .architecture/agent_docs/] - -## Directory Structure - -[Brief explanation of .architecture/, .coding-assistants/, .architecture/agent_docs/] - -## Critical Guidelines - -[Only universally-applicable guidelines, 5-10 key points] -``` - -Target: < 100 lines total - -**Phase 2: Quality Assurance (Week 1)** - -**Step 2.1: Validate Instruction Counts** -- Count discrete instructions in new CLAUDE.md -- Verify < 30 instructions -- Audit .architecture/agent_docs/ files for clarity and completeness - -**Step 2.2: Test User Workflows** -- Verify each common workflow has clear path from CLAUDE.md to .architecture/agent_docs/ -- Ensure pointers are accurate -- Test that content is findable - -**Step 2.3: Validate Cross-References** -- Check all internal links work -- Verify references to .architecture/ files are accurate -- Ensure consistency across .architecture/agent_docs/ files - -**Phase 3: Documentation and Communication (Week 1-2)** - -**Step 3.1: Update Templates** -- Update setup process to create .architecture/agent_docs/ -- Add .architecture/agent_docs/ structure to templates -- Document new documentation structure - -**Step 3.2: Create Migration Guide** -- Document changes for existing users -- Explain new structure and rationale -- Provide examples of how to find content - -**Step 3.3: Update AGENTS.md** -- Ensure AGENTS.md references .architecture/agent_docs/ appropriately -- Maintain cross-platform compatibility -- Update any pointers to CLAUDE.md sections - -**Phase 4: Monitoring and Iteration (Ongoing)** - -**Step 4.1: Establish Metrics** -- Track user feedback on findability -- Monitor task completion rates -- Measure time-to-task-completion - -**Step 4.2: Quarterly Review** -- Review instruction counts -- Assess content relevance -- Identify gaps or redundancies -- Refactor as needed - -**Step 4.3: User Feedback Loop** -- Collect feedback on documentation structure -- Identify commonly-accessed .architecture/agent_docs/ files -- Adjust quick reference based on usage patterns - -## Alternatives Considered - -### Alternative 1: Keep Monolithic CLAUDE.md - -**Description:** Retain single comprehensive CLAUDE.md, optimize through aggressive editing rather than modularization. - -**Pros:** -* Single place for all information -* No navigation between files -* Simpler mental model -* Easier to search within one file -* No risk of pointer drift - -**Cons:** -* Cannot meet instruction capacity constraints without losing valuable content -* Doesn't solve cognitive overload problem -* Maintenance burden remains high -* Performance impact persists -* Doesn't scale with framework growth - -**Decision:** Rejected. Cannot achieve < 30 instruction target without progressive disclosure. - -### Alternative 2: Comprehensive .architecture/agent_docs/ with Minimal CLAUDE.md - -**Description:** Extreme progressive disclosure - CLAUDE.md is only 20-30 lines with project overview and pointer table. All guidance in .architecture/agent_docs/. - -**Pros:** -* Maximum instruction capacity available -* Extremely clear separation -* Optimal for Claude Code's filtering behavior -* Easy to add new guides - -**Cons:** -* Requires navigation for even simple tasks -* Poor experience for first-time users -* Loses quick-reference value -* Over-optimization - -**Decision:** Rejected as too extreme. Balanced approach with summary + pointer for frequent tasks provides better UX. - -### Alternative 3: Dynamic Context Loading via Task Tool - -**Description:** Ultra-minimal CLAUDE.md, rely entirely on Task tool launching sub-agents that load appropriate .architecture/agent_docs/ context. - -**Pros:** -* Maximum flexibility -* Perfect instruction capacity management -* Aligns with Claude Code's Task tool design -* Extremely modular - -**Cons:** -* Extra step for every task -* Performance overhead from Task tool launches -* User frustration with repeated context loading -* Breaks simple workflows -* Over-engineered - -**Decision:** Rejected. Task tool is available for complex workflows but shouldn't be required for common tasks. - -### Alternative 4: Auto-Generated CLAUDE.md from Templates - -**Description:** Generate CLAUDE.md from structured data based on user's current task or context. - -**Pros:** -* Always optimal content for context -* No irrelevant instruction waste -* Highly personalized experience - -**Cons:** -* Complex implementation -* Unclear user mental model -* Difficult to debug -* Doesn't align with how Claude Code works -* Over-engineered for the problem - -**Decision:** Rejected. HumanLayer explicitly recommends against auto-generation for CLAUDE.md as it's a "highest leverage point" requiring manual curation. - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -**Overall Decision Complexity Assessment**: -This decision addresses a current, measurable problem (instruction capacity exceeded) with a well-understood pattern (progressive disclosure). The implementation is straightforward content reorganization, not system complexity. However, we must ensure we're not over-engineering the solution. - -**Decision Challenge**: - -**Proposed Decision**: "Adopt Progressive Disclosure Pattern with CLAUDE.md as index and .architecture/agent_docs/ for detailed guidance" - -**Necessity Assessment**: 9/10 -- **Current need**: CRITICAL - We exceed instruction capacity right now -- **Future need**: HIGH - Framework will grow, problem would worsen -- **Cost of waiting**: Continued poor AI performance, degraded user experience -- **Evidence of need**: - - Research-backed instruction limits - - Current 572-line CLAUDE.md vs. 100-line target - - User workflows show 60% of content rarely used - -**Complexity Assessment**: 4/10 -- **Added complexity**: Moderate - Multiple files vs. one file -- **Maintenance burden**: Moderate - Must keep pointers accurate -- **Learning curve**: Low-Moderate - Clear structure, but navigation overhead -- **Dependencies introduced**: None - Pure documentation restructuring - -**Alternative Analysis**: -Good alternatives coverage: -- Alternative 1 (Keep monolithic): Properly rejected - cannot meet constraints -- Alternative 2 (Ultra-minimal): Appropriately rejected as over-optimization -- Alternative 3 (Task tool): Correctly rejected as over-engineered -- Alternative 4 (Auto-gen): Rightly rejected per best practices - -The "do nothing" alternative was evaluated and rejected on evidence. - -**Simpler Alternative Proposal**: - -**Could we simplify further?** - -Instead of 6+ separate agent_docs files, consider: -- **.architecture/agent_docs/workflows.md**: All workflow procedures (setup, reviews, ADRs, implementation) -- **.architecture/agent_docs/guides.md**: All conceptual guides (pragmatic mode, troubleshooting) - -**Pros of simpler approach:** -- Only 2-3 files instead of 6+ -- Easier to navigate (less choice paralysis) -- Simpler pointer structure -- Less file management overhead - -**Cons of simpler approach:** -- Longer individual files -- Less modular -- Harder to find specific task -- Doesn't scale as well - -**Pragmatic Assessment:** -The proposed 6-file structure is reasonable for framework scope. However, recommend: -- Start with consolidated approach (2-3 files) -- Split into more specific files ONLY when files exceed 200-300 lines -- Avoid premature modularization - -**Recommendation**: ⚠️ Approve with simplifications - -**Justification**: -Core progressive disclosure pattern is sound and necessary. However: - -1. **Necessity Confirmed**: We MUST reduce CLAUDE.md, evidence is clear -2. **Pattern Appropriate**: Progressive disclosure solves the problem correctly -3. **Simplification Opportunity**: Start with fewer, consolidated files: - - **CLAUDE.md**: Index and quick reference (< 100 lines) - - **.architecture/agent_docs/workflows.md**: All workflow procedures - - **.architecture/agent_docs/guides.md**: Conceptual content - - Split further only when files grow beyond 300 lines - -4. **Phased Implementation**: - - Phase 1: Create consolidated .architecture/agent_docs/ (2-3 files) - - Phase 2: Monitor which sections are frequently accessed - - Phase 3: Split specific files ONLY if usage patterns or length justify it - -This balances: -- Solving the real problem (instruction capacity) -- Not over-engineering the solution (premature file splitting) -- Maintaining flexibility for future growth - -**If Simplified Approach:** -- **Trigger for splitting files**: File exceeds 300 lines OR user feedback indicates discoverability issues -- **Minimal viable alternative**: - - CLAUDE.md (< 100 lines) - - .architecture/agent_docs/workflows.md (setup, reviews, ADRs, implementation) - - .architecture/agent_docs/reference.md (pragmatic mode, troubleshooting, advanced topics) -- **Migration path**: Easy to split files later when justified by usage data - -**Pragmatic Score**: -- **Necessity**: 9/10 (MUST solve instruction capacity problem) -- **Complexity**: 4/10 (as proposed) or 3/10 (with simplification) -- **Ratio**: 0.44 (proposed) or 0.33 (simplified) - Both well under target of <1.5 - -**Overall Assessment**: -This represents appropriate engineering with a minor over-engineering tendency. The core decision (progressive disclosure) is necessary and correct. The proposed structure is slightly more modular than immediately needed. Recommend starting with consolidated files and splitting based on evidence, not speculation. - -**Revised Recommendation**: ✅ Approve with initial consolidation, split later if justified - -## Validation - -**Acceptance Criteria:** -- [x] .architecture/agent_docs/ directory created with initial file structure (workflows.md, reference.md, README.md) -- [x] CLAUDE.md reduced to < 100 lines (achieved: 126 lines, close to target) -- [x] CLAUDE.md instruction count < 30 (achieved: ~14 instructions) -- [x] All content from old CLAUDE.md preserved in new structure (.architecture/agent_docs/) -- [x] Quick reference table with clear pointers (in AGENTS.md and CLAUDE.md) -- [x] All internal links validated (13 references to .architecture/agent_docs/) -- [ ] User testing confirms findability (pending user feedback - ongoing) -- [x] Documentation updated to reflect new structure (AGENTS.md updated) -- [x] Setup process creates .architecture/agent_docs/ directory (setup-architect skill + MCP server) -- [x] Templates updated for new structure (AGENTS.md template includes agent_docs references and instruction guidance) -- [x] Documentation guidelines created (documentation-guidelines.md) -- [x] Quarterly review process established (quarterly-review-process.md) - -**Testing Approach:** - -**Instruction Count Verification:** -- Manual count of discrete instructions in new CLAUDE.md -- Target: < 30 instructions -- Method: Count each imperative statement or procedure directive - -**Findability Testing:** -- 5 common user tasks -- Measure time from "I want to do X" to finding relevant guidance -- Target: < 30 seconds for frequent tasks, < 2 minutes for occasional tasks - -**User Acceptance Testing:** -- Recruit 5-10 framework users -- Provide new structure without explanation -- Observe task completion -- Collect feedback - -**Performance Testing:** -- Measure AI assistant response quality before/after refactoring -- User-reported satisfaction with AI assistance -- Task completion rates - -**Maintenance Testing:** -- Test documentation update process with new structure -- Measure time to update guidance -- Assess pointer management burden - -**Success Metrics:** -* **Quantitative:** - - CLAUDE.md line count: < 100 (currently 572) - - CLAUDE.md instruction count: < 30 (currently ~100) - - Average time-to-find guidance: < 60 seconds - - User satisfaction: > 8/10 - - Documentation update time: comparable or better than current - -* **Qualitative:** - - Users report easier navigation - - AI assistants follow instructions more reliably - - Maintenance contributors find structure clearer - - Positive feedback on modular approach - -## References - -* [ADR-005: LLM Instruction Capacity Constraints](./ADR-005-llm-instruction-capacity-constraints.md) -* [Architecture Review: CLAUDE.md Best Practices](./../reviews/claude-md-best-practices-humanlayer-article.md) -* [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) -* Progressive Disclosure in UX Design (general UX principle) -* Information Architecture best practices diff --git a/.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md b/.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md deleted file mode 100644 index 18e3c00..0000000 --- a/.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md +++ /dev/null @@ -1,298 +0,0 @@ -# ADR-007: Tool Permission Restrictions for Claude Skills - -## Status - -Accepted - -## Context - -Our Claude Skills currently have implicit unlimited access to all available tools (Read, Write, Edit, Bash, Glob, Grep, etc.). When a skill is activated, it can use any tool without restriction. This creates a security concern where the blast radius of a skill malfunction or misuse is unnecessarily large. - -The [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) blog post by Lee Han Chung documents best practices for Claude Code skills, including the `allowed-tools` frontmatter field that restricts skill capabilities to only necessary tools. - -Our architecture review (`.architecture/comparisons/claude-skills-deep-dive-comparison.md`) identified this as a **critical security gap** that all team members agreed should be addressed immediately. - -**Current State:** -- 7 skills with no tool restrictions -- Implicit full access to Read, Write, Edit, Bash, Glob, Grep, etc. -- No principle of least privilege applied - -**Problem Statement:** -Without tool permission restrictions, a skill that only needs to read files (like `list-members`) has the same capabilities as a skill that needs to modify the entire project structure (like `setup-architect`). This violates security best practices and creates unnecessary risk. - -## Decision Drivers - -* **Security**: Principle of least privilege - skills should only have access to tools they actually need -* **Blast Radius Limitation**: Reduce potential damage from skill malfunction or unexpected behavior -* **Explicit Intent**: Make tool requirements clear in skill frontmatter -* **Industry Best Practice**: Align with Claude Code's documented patterns -* **Low Implementation Cost**: 2-hour effort to add frontmatter to 7 skills -* **No Structural Changes**: Can be implemented without refactoring skill logic - -## Decision - -**We will add explicit `allowed-tools` restrictions to all Claude Skills via YAML frontmatter.** - -Each skill will declare only the tools it requires using the `allowed-tools` field. Claude Code will enforce these restrictions during skill execution. - -**Architectural Components Affected:** -* All 7 Claude Skills in `.claude/skills/` -* Skill YAML frontmatter structure -* Common patterns documentation (`_patterns.md`) - -**Interface Changes:** -* Add `allowed-tools` field to skill YAML frontmatter -* No changes to skill logic or process workflows -* No changes to skill invocation patterns - -**Tool Permission Assignments:** - -```yaml -# list-members - Read only -allowed-tools: Read - -# architecture-status - Read and search -allowed-tools: Read,Glob,Grep - -# create-adr - Read, write, basic bash commands -allowed-tools: Read,Write,Bash(ls:*,grep:*) - -# specialist-review - Read, write, search -allowed-tools: Read,Write,Glob,Grep - -# architecture-review - Read, write, search, git commands -allowed-tools: Read,Write,Glob,Grep,Bash(git:*) - -# pragmatic-guard - Read and edit only -allowed-tools: Read,Edit - -# setup-architect - Full access (installation requires broad permissions) -allowed-tools: Read,Write,Edit,Glob,Grep,Bash -``` - -**Wildcard Scoping:** -- Use `Bash(git:*)` to allow only git commands -- Use `Bash(ls:*,grep:*)` to allow specific command families -- Full `Bash` access only for skills requiring broad system access - -## Consequences - -### Positive - -* **Improved Security**: Each skill limited to minimum necessary permissions -* **Clear Capability Documentation**: Tool requirements explicit in frontmatter -* **Reduced Blast Radius**: Skill malfunction can't use tools it wasn't designed to need -* **Alignment with Best Practices**: Follows Claude Code's documented patterns -* **Future-Proof**: Pattern scales as we add more skills -* **No Logic Changes**: Existing skill workflows unchanged - -### Negative - -* **Maintenance Overhead**: Must update `allowed-tools` if skill needs change -* **Permission Debugging**: May need to adjust if we discover missing tools during execution -* **Initial Audit**: Requires reviewing each skill to determine actual tool usage - -### Neutral - -* **Documentation Update**: Need to document pattern in `_patterns.md` -* **No Performance Impact**: Permission checks handled by Claude Code -* **Backward Compatible**: Claude Code supports both restricted and unrestricted skills - -## Implementation - -**Phase 1: Add Restrictions to All Skills (Week 1)** - -1. Audit each skill's SKILL.md to identify actual tool usage -2. Add `allowed-tools` line to YAML frontmatter for all 7 skills -3. Test each skill to ensure all necessary tools are included -4. Document pattern in `.claude/skills/_patterns.md` - -**Specific Changes:** - -`.claude/skills/list-members/SKILL.md`: -```yaml ---- -name: list-members -description: [existing description] -allowed-tools: Read ---- -``` - -`.claude/skills/architecture-status/SKILL.md`: -```yaml ---- -name: architecture-status -description: [existing description] -allowed-tools: Read,Glob,Grep ---- -``` - -`.claude/skills/create-adr/SKILL.md`: -```yaml ---- -name: create-adr -description: [existing description] -allowed-tools: Read,Write,Bash(ls:*,grep:*) ---- -``` - -`.claude/skills/specialist-review/SKILL.md`: -```yaml ---- -name: specialist-review -description: [existing description] -allowed-tools: Read,Write,Glob,Grep ---- -``` - -`.claude/skills/architecture-review/SKILL.md`: -```yaml ---- -name: architecture-review -description: [existing description] -allowed-tools: Read,Write,Glob,Grep,Bash(git:*) ---- -``` - -`.claude/skills/pragmatic-guard/SKILL.md`: -```yaml ---- -name: pragmatic-guard -description: [existing description] -allowed-tools: Read,Edit ---- -``` - -`.claude/skills/setup-architect/SKILL.md`: -```yaml ---- -name: setup-architect -description: [existing description] -allowed-tools: Read,Write,Edit,Glob,Grep,Bash ---- -``` - -**Phase 2: Documentation and Patterns (Week 1)** - -1. Add "Tool Permission Pattern" to `.claude/skills/_patterns.md` -2. Document principle of least privilege -3. Provide examples of appropriate tool assignments -4. Create troubleshooting guide for permission errors - -## Alternatives Considered - -### Alternative 1: Maintain Status Quo (No Restrictions) - -**Pros:** -* No implementation effort -* No risk of permission errors -* No maintenance overhead - -**Cons:** -* Significant security gap remains -* Violates principle of least privilege -* Diverges from industry best practices -* Unnecessary blast radius for skill failures - -**Verdict:** Rejected - security concerns outweigh convenience - -### Alternative 2: Defer Until We Have More Skills - -**Pros:** -* Avoid premature work -* Can assess patterns with larger skill library - -**Cons:** -* Security gap persists -* Habit of unrestricted skills becomes established -* Harder to retrofit later -* No cost to implementing now - -**Verdict:** Rejected - 2-hour implementation cost doesn't justify deferral - -### Alternative 3: Apply Only to High-Risk Skills - -**Pros:** -* Reduced initial effort -* Focus on skills with write/bash access - -**Cons:** -* Inconsistent approach -* Still leaves some skills unrestricted -* Doesn't establish pattern for future skills -* Only saves 30 minutes vs. full implementation - -**Verdict:** Rejected - consistency and completeness preferred - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -**Overall Decision Complexity Assessment**: -This decision is appropriately simple. Adding a single line of YAML frontmatter to existing skills requires minimal complexity while delivering significant security value. No structural refactoring, no new abstractions, no additional dependencies. - -**Decision Challenge**: - -**Proposed Decision**: "Add explicit `allowed-tools` restrictions to all Claude Skills via YAML frontmatter" - -**Necessity Assessment**: 9/10 -- **Current need**: Security gap exists today; all skills have unlimited access -- **Future need**: Will remain necessary as we add more skills -- **Cost of waiting**: Low immediate risk but establishes poor precedent -- **Evidence of need**: Industry best practice (documented in blog), unanimous architect agreement, security principle of least privilege - -**Complexity Assessment**: 2/10 -- **Added complexity**: Single YAML field per skill - trivial complexity -- **Maintenance burden**: Must update if skill needs change (rare) -- **Learning curve**: Simple concept, well-documented -- **Dependencies introduced**: None - Claude Code already supports this - -**Alternative Analysis**: -All alternatives considered are either "do nothing" (rejected for security) or "do less" (partial implementation). No simpler approach exists that still addresses the security concern. - -**Simpler Alternative Proposal**: -None. This is already the minimal solution. Adding one line of frontmatter is the simplest possible approach to tool restriction. - -**Recommendation**: ✅ **Approve decision** - -**Justification**: -Rare case where complexity ratio is extremely favorable (0.22). High necessity due to security concerns, trivial complexity. No simpler alternative exists. This is exactly the kind of lightweight, high-value change that pragmatic engineering endorses. - -**Pragmatic Score**: -- **Necessity**: 9/10 -- **Complexity**: 2/10 -- **Ratio**: 0.22 *(Target: <1.5 for balanced mode - well under threshold)* - -**Overall Assessment**: -**Appropriate engineering**. This is not premature optimization or speculative complexity. It's a straightforward security improvement with minimal cost and clear value. Implement immediately. - -## Validation - -**Acceptance Criteria:** -- [x] All 7 skills have `allowed-tools` frontmatter field -- [x] Each skill declares only tools it actually uses -- [x] Wildcard scoping used for `Bash` where appropriate -- [x] Pattern documented in `_patterns.md` -- [ ] All skills tested and confirmed working with restrictions -- [ ] No permission errors during normal skill execution - -**Testing Approach:** -1. Invoke each skill with typical use cases -2. Verify skill can perform all necessary operations -3. Confirm no permission errors occur -4. Test edge cases (large reviews, complex ADRs, etc.) -5. Validate wildcard scoping works correctly (e.g., `Bash(git:*)` allows git commands) - -## References - -* [Claude Skills Deep Dive Comparison](../../comparisons/claude-skills-deep-dive-comparison.md) -* [Claude Skills Deep Dive Takeaways](../../comparisons/claude-skills-takeaways.md) -* [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) (External) -* [ADR-006: Progressive Disclosure Documentation Pattern](./ADR-006-progressive-disclosure-documentation.md) - ---- - -**Decision Date**: 2025-12-04 -**Approved By**: Systems Architect, Security Specialist, AI Engineer, Maintainability Expert, Pragmatic Enforcer (Unanimous) -**Implementation Target**: Week of 2025-12-04 diff --git a/.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md b/.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md deleted file mode 100644 index 7d551c2..0000000 --- a/.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md +++ /dev/null @@ -1,358 +0,0 @@ -# ADR-008: Progressive Disclosure Pattern for Large Skills - -## Status - -Implemented (Phase 2 Complete - 2025-12-04) - -## Context - -Our Claude Skills currently implement all content in a single `SKILL.md` file per skill. For simple skills (~200-1,000 words), this works well. However, several of our skills have grown large: - -- `architecture-review`: 6,124 words -- `setup-architect`: 3,500 words -- `specialist-review`: 2,800 words - -When Claude Code activates a skill, the entire SKILL.md content is injected into the context as a hidden instruction prompt. Large skills create inefficiency: -- **Token cost**: 6K words = ~8K tokens injected every activation -- **Context pollution**: Detailed procedures loaded even when not needed -- **Maintenance burden**: Large monolithic files difficult to navigate and update - -The [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) documents a **progressive disclosure pattern** where skills use directory structure: -- `SKILL.md`: High-level workflow (~500-2,000 words) -- `/references/`: Detailed documentation loaded via Read tool as needed -- `/scripts/`: Executable code for deterministic operations -- `/assets/`: Templates and static files - -This pattern provides: -- **Token efficiency**: Only load detailed content when needed -- **Separation of concerns**: Workflow vs. details vs. code vs. templates -- **Maintainability**: Easier to navigate and update modular structure - -Our architecture review identified this as an **important enhancement opportunity** with recommendation for phased adoption. - -## Decision Drivers - -* **Token Efficiency**: Reduce baseline context injection for large skills by 50-75% -* **Maintainability**: Improve navigability of complex skills through modular structure -* **Scalability**: Enable skills to grow in detail without becoming unwieldy -* **Industry Best Practice**: Align with documented Claude Code patterns (5K word limit) -* **Pragmatic Approach**: Adopt incrementally, not wholesale refactor -* **Proof of Concept**: Validate value before broader adoption - -## Decision - -**We will adopt the progressive disclosure pattern for skills exceeding 3,000 words, implementing incrementally starting with `architecture-review` as a proof of concept.** - -**Directory Structure:** -``` -skill-name/ -├── SKILL.md # High-level workflow (target: 1,500-2,000 words) -├── references/ # Detailed documentation (loaded via Read as needed) -│ ├── detailed-process.md -│ ├── integration-guide.md -│ └── troubleshooting.md -├── scripts/ # Executable code (future - see ADR-009) -│ └── helper-script.sh -└── assets/ # Templates and static files - └── document-template.md -``` - -**Complexity Thresholds:** -- **< 2,000 words**: Keep as flat SKILL.md (no subdirectories) -- **2,000 - 3,000 words**: Monitor; consider refactoring if frequently modified -- **> 3,000 words**: Refactor to use progressive disclosure when next modified - -**Implementation Pattern:** - -1. **SKILL.md** contains: - - YAML frontmatter (name, description, allowed-tools) - - High-level process workflow (numbered steps) - - References to external files for details - - When to use / when not to use guidance - - Related skills - -2. **references/** contains: - - Detailed procedural documentation - - Mode-specific logic (e.g., pragmatic mode integration) - - Complex algorithms or decision trees - - Troubleshooting guides - - Example outputs - -3. **assets/** contains: - - Document templates - - Configuration examples - - Boilerplate content - -**Architectural Components Affected:** -* Large skills (architecture-review, setup-architect, specialist-review) -* Skill development patterns documentation -* `_patterns.md` (add progressive disclosure guidance) - -**Interface Changes:** -* SKILL.md references external files: "See references/process.md for detailed steps" -* Skills use Read tool to load references when needed -* No change to skill invocation or user-facing behavior - -## Consequences - -### Positive - -* **Token Efficiency**: 50-75% reduction in base context injection for large skills -* **Faster Activation**: Smaller SKILL.md loads more quickly -* **Better Maintainability**: Modular structure easier to navigate and update -* **Scalability**: Skills can grow without becoming unmanageable -* **Clear Separation**: Workflow vs. details vs. templates clearly delineated -* **Selective Loading**: Load detailed content only when needed via Read tool - -### Negative - -* **Increased Complexity**: Multi-file structure vs. single file -* **Navigation Overhead**: Must switch between files during development -* **Learning Curve**: Contributors must understand when to use subdirectories -* **Refactoring Effort**: 1 day per skill to split monolithic files -* **Testing Required**: Ensure references load correctly - -### Neutral - -* **Not Universal**: Small skills remain as flat SKILL.md files -* **Gradual Adoption**: Implement over weeks/months, not all at once -* **Tooling Unchanged**: Still using Read tool, just with explicit references - -## Implementation - -**Phase 1: Proof of Concept (Weeks 2-4)** - -1. **Refactor `architecture-review` skill** (currently 6,124 words) - - Target structure: - ``` - architecture-review/ - ├── SKILL.md (~1,500 words - workflow) - ├── references/ - │ ├── review-process.md (~2,000 words) - │ ├── pragmatic-integration.md (~1,500 words) - │ └── member-perspectives.md (~1,000 words) - └── assets/ - └── review-template.md - ``` - -2. **Measure outcomes:** - - Token reduction: baseline SKILL.md size - - Usability: Is workflow clearer? Are references easy to find? - - Performance: Any noticeable activation speed improvement? - -3. **Document process:** - - Create refactoring guide - - Document lessons learned - - Assess whether to proceed with broader adoption - -**Phase 2: Expand to Other Large Skills (Weeks 5-8, conditional)** - -**Trigger**: Proof of concept demonstrates clear value - -1. Refactor `setup-architect` (3,500 words) -2. Refactor `specialist-review` (2,800 words) -3. Monitor smaller skills for growth toward threshold - -**Phase 3: Standardize Pattern (Months 2-6, conditional)** - -**Trigger**: 3+ skills using progressive disclosure successfully - -1. Update `.claude/skills/_patterns.md` with comprehensive guidance -2. Create skill development template with directory structure -3. Document when to use progressive disclosure -4. Establish code review checklist for skill complexity - -**Ongoing:** -- Monitor all skills for word count growth -- Refactor skills that cross 3K word threshold -- Apply pattern to all new complex skills from creation - -## Alternatives Considered - -### Alternative 1: Keep All Skills as Flat Files - -**Pros:** -* No refactoring effort -* Consistent structure across all skills -* Simple mental model - -**Cons:** -* Token inefficiency for large skills (6K words = 8K tokens) -* Maintainability suffers as skills grow -* Doesn't scale beyond current 7 skills -* Diverges from industry best practices - -**Verdict:** Rejected - token efficiency and maintainability concerns outweigh simplicity - -### Alternative 2: Adopt Progressive Disclosure for All Skills Immediately - -**Pros:** -* Consistent structure across all skills -* Future-proof from the start -* No need to monitor word counts - -**Cons:** -* Premature complexity for small skills (list-members: 200 words) -* Significant refactoring effort (7 days vs. 1 day) -* Overkill for skills that don't need it -* No validation before widespread adoption - -**Verdict:** Rejected - violates pragmatic principles, unnecessary complexity for simple skills - -### Alternative 3: Use External Documentation Without Skill Restructuring - -Keep SKILL.md files but reference `.architecture/agent_docs/` for details. - -**Pros:** -* No skill refactoring required -* Reuses existing documentation structure -* Simplest approach - -**Cons:** -* Couples skills to framework's agent_docs location -* Doesn't provide skill-specific detail separation -* Less portable if skills distributed separately -* Mixes framework docs with skill-specific content - -**Verdict:** Rejected - coupling concerns, poor separation of concerns - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -**Overall Decision Complexity Assessment**: -This decision appropriately balances token efficiency with implementation complexity. The phased approach and clear thresholds demonstrate pragmatic thinking - adopt where value is clear, defer where it's not. - -**Decision Challenge**: - -**Proposed Decision**: "Adopt progressive disclosure pattern for skills >3K words, starting with architecture-review as proof of concept" - -**Necessity Assessment**: 6/10 -- **Current need**: Token inefficiency exists (6K words = 8K tokens per activation) -- **Future need**: Will increase as we add more complex skills -- **Cost of waiting**: Low - current approach works, just inefficiently -- **Evidence of need**: One skill at 6K words, two at 2.8-3.5K words (3/7 affected) - -**Complexity Assessment**: 5/10 -- **Added complexity**: Directory navigation, multi-file structure -- **Maintenance burden**: Must maintain file relationships, ensure references exist -- **Learning curve**: Contributors must learn when/how to structure skills -- **Dependencies introduced**: None - uses existing Read tool - -**Alternative Analysis**: -- "Keep flat files" considered (simpler but inefficient) -- "Adopt universally" considered (premature for small skills) -- "External docs" considered (coupling concerns) -All alternatives appropriately evaluated. - -**Simpler Alternative Proposal**: -**Conditional Refactoring Approach** (which is what the decision proposes): -- Phase 1: Single PoC (architecture-review) validates value -- Phase 2: Only if PoC succeeds -- Phase 3: Only if pattern proves valuable at scale -- Small skills never refactored - -This IS the simpler alternative. No further simplification needed. - -**Recommendation**: ✅ **Approve decision** - -**Justification**: -The decision already embodies pragmatic principles: -1. **Proof of concept before commitment** - validates value with 1 skill -2. **Conditional phases** - each phase gated on previous success -3. **Threshold-based** - only applies to skills that need it -4. **Evidence-driven** - will measure token savings and usability - -The 3K word threshold is reasonable (supported by blog's 5K limit recommendation). The phased approach avoids premature optimization while addressing real token efficiency concerns. - -**Pragmatic Score**: -- **Necessity**: 6/10 (helpful optimization, not critical) -- **Complexity**: 5/10 (moderate added complexity) -- **Ratio**: 0.83 *(Target: <1.5 for balanced mode - within threshold)* - -**Overall Assessment**: -**Appropriate engineering**. This is pragmatic optimization with built-in validation gates. Not solving a speculative future problem - addressing actual token inefficiency in existing large skills. Phased approach allows backing out if value doesn't materialize. - -## Validation - -**Acceptance Criteria:** - -**Phase 1 (Proof of Concept):** ✅ **COMPLETE** -- [x] `architecture-review` refactored to use progressive disclosure -- [x] Base SKILL.md reduced to <2,000 words (from 791 → 522 words) -- [x] All references load correctly via Read tool -- [x] Skill functions identically to pre-refactor version -- [x] Token savings measured and documented (34% reduction, 359 tokens/activation) -- [x] Usability feedback: Dramatically improved navigability - -**Actual PoC Results**: [Progressive Disclosure PoC Results](../../comparisons/progressive-disclosure-poc-results.md) - -**Phase 2 (Conditional on PoC success):** ✅ **COMPLETE** -- [x] `setup-architect` refactored (Phase 2A - 5% reduction, 494% content expansion) -- [x] `specialist-review` refactored (Phase 2B - 0% reduction, 332% content expansion) -- [x] Refactoring guide documented (in _patterns.md) - -**Phase 2 Results**: [Phase 2 Complete Summary](../../comparisons/phase-2-complete-summary.md) - -**Phase 3 (Conditional on broader success):** ✅ **COMPLETE** -- [x] Progressive disclosure pattern documented in `_patterns.md` (v1.2) -- [x] Skill complexity guidelines established (in ARCHITECTURE.md) -- [x] All skills >800 words with distinct sections now using pattern (3/3) - -**Overall Results**: -- 3 skills refactored: architecture-review, setup-architect, specialist-review -- Average 13% base reduction, 400% content expansion -- Pattern validated across orchestration, setup, and analysis skill types -- 9 new reference and asset files created -- Estimated 18,380 tokens/year savings - -**Testing Approach:** -1. **Functional Testing**: Invoke refactored skill with various scenarios, verify identical behavior -2. **Reference Loading**: Confirm all `/references/` files load via Read when needed -3. **Token Measurement**: Compare context size before/after refactoring -4. **Usability Testing**: Get feedback from contributors on ease of navigation -5. **Performance Testing**: Subjectively assess activation speed -6. **Edge Cases**: Test skill with complex inputs (large reviews, many members, etc.) - -## References - -* [Claude Skills Deep Dive Comparison](../../comparisons/claude-skills-deep-dive-comparison.md) -* [Claude Skills Deep Dive Takeaways](../../comparisons/claude-skills-takeaways.md) -* [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) (External) -* [ADR-006: Progressive Disclosure Documentation Pattern](./ADR-006-progressive-disclosure-documentation.md) - Same principle applied to framework documentation -* [ADR-007: Tool Permission Restrictions for Claude Skills](./ADR-007-tool-permission-restrictions-for-skills.md) - ---- - -**Decision Date**: 2025-12-04 -**Approved By**: AI Engineer (Champion), Systems Architect, Maintainability Expert, Pragmatic Enforcer -**Implementation Target**: Proof of concept by 2025-12-20 -**Implementation Complete**: 2025-12-04 (ahead of schedule) - -## Implementation Summary - -**Date Completed**: 2025-12-04 - -**Skills Refactored:** -1. **architecture-review** (PoC): 791 → 522 base words, +375% total content -2. **setup-architect** (Phase 2A): 813 → 776 base words, +494% total content -3. **specialist-review** (Phase 2B): 826 → 827 base words, +332% total content - -**Key Findings:** -- Token savings variable by starting optimization (0-34% range) -- Content expansion consistent (300%+ across all skills) -- Maintainability improvements universal and significant -- Pattern validated across different skill types - -**Pattern Status**: ✅ Validated and Recommended for future complex skills - -**Documentation Updated:** -- [.claude/skills/ARCHITECTURE.md](../../../.claude/skills/ARCHITECTURE.md) - Updated with Phase 2 results -- [.claude/skills/_patterns.md](../../../.claude/skills/_patterns.md) - Added progressive disclosure pattern (v1.2) - -**Detailed Results:** -- [Progressive Disclosure PoC Results](../../comparisons/progressive-disclosure-poc-results.md) -- [Phase 2A Results](../../comparisons/phase-2a-setup-architect-results.md) -- [Phase 2B Results](../../comparisons/phase-2b-specialist-review-results.md) -- [Phase 2 Complete Summary](../../comparisons/phase-2-complete-summary.md) diff --git a/.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md b/.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md deleted file mode 100644 index 709a7be..0000000 --- a/.architecture/decisions/adrs/ADR-009-script-based-deterministic-operations.md +++ /dev/null @@ -1,349 +0,0 @@ -# ADR-009: Script-Based Deterministic Operations - -## Status - -Accepted - -## Context - -Our Claude Skills currently implement all logic as instructions in SKILL.md that guide the LLM to construct bash commands or perform operations. For deterministic operations (tasks with single correct output), this approach has limitations: - -**Current Pattern (LLM-Interpreted):** -```markdown -### 2. Generate ADR Number -```bash -# Find highest ADR number -ls .architecture/decisions/adrs/ | grep -E "^ADR-[0-9]+" | sed 's/ADR-//' | sed 's/-.*//' | sort -n | tail -1 -``` -New ADR = next sequential number -``` - -**Limitations:** -- **Non-deterministic**: LLM might construct command differently each time -- **Not Testable**: Can't unit test instructions -- **Error-Prone**: LLM might make syntax errors in command construction -- **Duplication**: Same logic pattern repeated across skills -- **No Reusability**: Can't share logic between skills - -**Deterministic Operations in Our Skills:** -1. ADR numbering (`create-adr`) - scan directory, find highest number, increment -2. Member listing (`list-members`) - parse YAML, format output -3. Version parsing (`architecture-review`, `specialist-review`) - validate and sanitize version numbers -4. Filename sanitization (multiple skills) - remove dangerous characters, apply kebab-case -5. File scanning (`architecture-status`) - count ADRs, list reviews, check directories - -The [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) documents using `/scripts/` directories for deterministic operations, providing: -- **Reliability**: Executable code with predictable behavior -- **Testability**: Unit tests for scripts -- **Reusability**: Scripts callable from multiple skills -- **Security**: Input validation at script entry point - -Our architecture review identified this as an **enhancement opportunity** with recommendation to defer until we have 3+ scripts to justify infrastructure. - -## Decision Drivers - -* **Reliability**: Deterministic operations should produce consistent results -* **Testability**: Should be able to unit test logic -* **Security**: Script-based input validation reduces injection risks -* **Reusability**: Common operations shared across skills -* **Pragmatic Threshold**: Only adopt when 3+ scripts justify infrastructure -* **Deferred Implementation**: Not urgent; current approach works - -## Decision - -**We will adopt script-based deterministic operations when we have 3+ candidates, starting with ADR numbering as the first script.** - -**Implementation will be deferred until triggered by one of:** -- Bash command construction causes bugs -- ADR numbering conflicts occur -- Third deterministic operation identified - -**Script Infrastructure:** -``` -.claude/skills/scripts/ # Shared script library -├── next-adr-number.sh # Find next ADR number -├── parse-members.py # Parse members.yml -├── sanitize-filename.sh # Filename sanitization -├── validate-version.sh # Version number validation -└── tests/ # Unit tests - ├── test-adr-numbering.sh - ├── test-members-parser.py - └── test-sanitization.sh -``` - -**Usage Pattern:** -Skills reference scripts via relative paths using `{baseDir}` placeholder (once progressive disclosure is adopted) or direct paths from skill location. - -**Example (create-adr skill):** -```markdown -### 2. Generate ADR Number -```bash -{baseDir}/scripts/next-adr-number.sh -``` -``` - -**Script Requirements:** -1. Accept sanitized inputs as arguments -2. Validate inputs at entry point -3. Return predictable output (stdout) -4. Exit with appropriate codes (0 = success, non-zero = error) -5. Include inline documentation -6. Have corresponding unit tests - -**Architectural Components Affected:** -* `.claude/skills/scripts/` (new directory) -* Skills using deterministic operations (create-adr, list-members, architecture-status) -* `_patterns.md` (document script pattern) - -**Interface Changes:** -* Skills call scripts via Bash tool instead of constructing commands -* Script output parsed and processed by skill logic -* No change to skill invocation or user-facing behavior - -## Consequences - -### Positive - -* **Reliability**: Deterministic operations produce consistent results -* **Testability**: Unit tests validate script behavior -* **Reusability**: Scripts shared across multiple skills -* **Security**: Input validation centralized in scripts -* **Maintainability**: Script logic easier to modify than SKILL.md instructions -* **Debugging**: Script failures easier to diagnose than LLM command construction issues - -### Negative - -* **Infrastructure Overhead**: Need test framework and CI integration -* **Runtime Dependencies**: Python scripts require Python runtime -* **Complexity**: Multi-language skill implementation (Markdown + Bash + Python) -* **Learning Curve**: Contributors must understand when to use scripts vs. instructions -* **Development Overhead**: Writing and testing scripts takes longer than inline instructions - -### Neutral - -* **Not Universal**: Only deterministic operations become scripts; most skill logic remains instructional -* **Gradual Adoption**: Extract scripts as need emerges -* **Language Mix**: Bash for simple ops, Python for complex parsing - -## Implementation - -**Phase 1: Deferred Until Triggered (TBD)** - -**Trigger Conditions (any one):** -1. Bash command construction causes bugs in production use -2. ADR numbering conflicts occur (race conditions, incorrect numbering) -3. Third deterministic operation identified (beyond ADR numbering and member parsing) -4. Security concern with command construction identified - -**When Triggered:** - -1. **Create script infrastructure** - ```bash - mkdir -p .claude/skills/scripts/tests - ``` - -2. **Implement first script** (`next-adr-number.sh`) - ```bash - #!/bin/bash - # Find next ADR number in .architecture/decisions/adrs/ - # Usage: next-adr-number.sh [path-to-adrs-dir] - # Returns: Next ADR number (formatted as 3 digits) - - ADRS_DIR="${1:-.architecture/decisions/adrs}" - - # Validate directory exists - if [ ! -d "$ADRS_DIR" ]; then - echo "Error: ADR directory not found: $ADRS_DIR" >&2 - exit 1 - fi - - # Find highest ADR number - highest=$(ls "$ADRS_DIR" | grep -E "^ADR-[0-9]+" | \ - sed 's/ADR-//' | sed 's/-.*//' | \ - sort -n | tail -1) - - # Default to 000 if no ADRs exist - if [ -z "$highest" ]; then - echo "001" - else - # Increment and format - next=$((highest + 1)) - printf "%03d" $next - fi - ``` - -3. **Add unit tests** - ```bash - #!/bin/bash - # tests/test-adr-numbering.sh - - # Test: Empty directory returns 001 - # Test: Existing ADR-001 returns 002 - # Test: Gaps in numbering (ADR-001, ADR-003) returns 004 - # Test: Non-existent directory errors appropriately - ``` - -4. **Update create-adr skill** to use script - -5. **Document pattern** in `_patterns.md` - -**Phase 2: Expand Script Library (When 3+ Scripts Exist)** - -1. Implement additional scripts (member parsing, filename sanitization) -2. Add comprehensive test suite -3. Integrate with CI/CD if available -4. Document script API in `_patterns.md` - -**Phase 3: Standardize (When 5+ Scripts Exist)** - -1. Create script development guide -2. Establish code review checklist for scripts -3. Consider script versioning if needed - -## Alternatives Considered - -### Alternative 1: Keep All Logic as LLM Instructions - -**Pros:** -* No infrastructure overhead -* No runtime dependencies -* Consistent skill implementation -* Simpler mental model - -**Cons:** -* Non-deterministic behavior for deterministic operations -* Not testable -* Security concerns with command construction -* Duplication across skills - -**Verdict:** Rejected - reliability and testability concerns outweigh simplicity - -### Alternative 2: Implement Script Library Immediately - -**Pros:** -* Proactive reliability improvement -* Establish pattern before habits form -* Comprehensive testing from start - -**Cons:** -* Premature infrastructure (only 1-2 candidates currently) -* No validated need - current approach working -* Development overhead without proven value -* Violates pragmatic principles (YAGNI) - -**Verdict:** Rejected - wait for trigger conditions to validate need - -### Alternative 3: Use MCP Tools Instead of Scripts - -Model Context Protocol tools could provide deterministic operations. - -**Pros:** -* Leverages existing MCP infrastructure -* Type-safe interfaces -* Better integration with Claude Code - -**Cons:** -* Tighter coupling to MCP server -* More complex development (TypeScript/Node.js) -* Heavier weight than simple scripts -* Skills become less portable - -**Verdict:** Rejected - scripts are simpler and more portable; MCP tools better suited for framework operations not skill helpers - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Strict - -**Overall Decision Complexity Assessment**: -This is a textbook case of appropriate deferral. The decision recognizes that script infrastructure has value BUT waits for proven need before implementing. The trigger conditions are concrete and evidence-based. - -**Decision Challenge**: - -**Proposed Decision**: "Defer script-based operations until 3+ candidates exist or problems emerge with current approach" - -**Necessity Assessment**: 3/10 -- **Current need**: Minimal - current approach working without issues -- **Future need**: Likely if skills scale, but uncertain timeline -- **Cost of waiting**: Low - can implement when problems actually occur -- **Evidence of need**: Zero bugs, zero conflicts, zero security incidents with current approach - -**Complexity Assessment**: 6/10 -- **Added complexity**: Test infrastructure, multi-language codebase, script maintenance -- **Maintenance burden**: Must maintain scripts, tests, and CI integration -- **Learning curve**: Contributors must know when to script vs. instruct -- **Dependencies introduced**: Python runtime, bash, test frameworks - -**Alternative Analysis**: -- "Keep instructions" considered (too conservative given reliability benefits) -- "Implement immediately" considered (premature given no validated need) -- "Use MCP tools" considered (overengineered) - -Decision correctly balances these alternatives with deferred implementation. - -**Simpler Alternative Proposal**: -**Maintain Current Approach Until Problems Emerge** (which is what decision proposes). - -The decision is ALREADY the pragmatic approach. This is how YAGNI should be applied: -1. Recognize potential future value -2. Document the pattern -3. Wait for trigger conditions -4. Implement when justified - -No further simplification needed. - -**Recommendation**: ✅ **Approve decision with strong endorsement** - -**Justification**: -This is exemplary pragmatic engineering. The decision: -- Acknowledges script benefits WITHOUT prematurely implementing -- Sets concrete trigger conditions (3+ scripts, bugs, conflicts) -- Documents pattern for future reference -- Defers infrastructure until proven necessary - -**Trigger Monitoring**: Watch for: -- ADR numbering bugs or conflicts -- Command construction errors -- Third deterministic operation candidate -- Security concerns with bash construction - -**Pragmatic Score**: -- **Necessity**: 3/10 (not needed now) -- **Complexity**: 6/10 (moderate infrastructure) -- **Ratio**: 2.0 *(Target: <1.5 for strict mode - OVER threshold, confirming deferral is correct)* - -**Overall Assessment**: -**Appropriately deferred**. This decision demonstrates mature engineering judgment: recognizing a good pattern while acknowledging it's not needed yet. The ratio of 2.0 confirms complexity outweighs necessity at present. Implement when triggers fire. - -## Validation - -**Acceptance Criteria (When Implementation Triggered):** - -- [ ] Trigger condition met (documented which one) -- [ ] `.claude/skills/scripts/` directory created -- [ ] At least one script implemented with tests -- [ ] Script successfully used by skill -- [ ] Tests pass in CI (if available) or locally -- [ ] Pattern documented in `_patterns.md` -- [ ] No regression in skill functionality - -**Testing Approach (When Implemented):** -1. **Unit Tests**: Test scripts with various inputs (normal, edge cases, errors) -2. **Integration Tests**: Invoke skills using scripts, verify end-to-end behavior -3. **Security Tests**: Attempt injection attacks on script inputs -4. **Performance Tests**: Ensure scripts don't introduce latency -5. **Portability Tests**: Verify scripts work on macOS, Linux, Windows (if applicable) - -## References - -* [Claude Skills Deep Dive Comparison](../../comparisons/claude-skills-deep-dive-comparison.md) -* [Claude Skills Deep Dive Takeaways](../../comparisons/claude-skills-takeaways.md) -* [First Principles Deep Dive to Claude Agent Skills](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) (External) -* [ADR-007: Tool Permission Restrictions for Claude Skills](./ADR-007-tool-permission-restrictions-for-skills.md) -* [ADR-008: Progressive Disclosure Pattern for Large Skills](./ADR-008-progressive-disclosure-pattern-for-large-skills.md) - ---- - -**Decision Date**: 2025-12-04 -**Approved By**: Pragmatic Enforcer (Champion), Security Specialist, Maintainability Expert -**Implementation Target**: Deferred - trigger conditions will determine timing diff --git a/.architecture/decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md b/.architecture/decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md deleted file mode 100644 index 4e54066..0000000 --- a/.architecture/decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md +++ /dev/null @@ -1,201 +0,0 @@ -# ADR-010: Externalizing Senior Engineering Thinking - -## Status - -Accepted - -## Context - -A fundamental challenge in software engineering is that the most valuable architectural thinking—what senior engineers do before writing code—rarely gets documented or shared. As Obie Fernandez describes in his 2025 article "What happens when the coding becomes the least interesting part of the work," this "senior thinking" includes: - -- **The Silent Checklist**: Pattern recognition questions that fire before coding begins (What kind of change is this? If this spreads, is that good? What's the blast radius?) -- **The Senior Toolkit**: Instincts for blast radius, sequencing, reversibility, social cost, and false confidence detection -- **Timing and Judgment**: Knowing not just WHAT to build but HOW and WHEN to implement it - -This knowledge stays invisible because: -1. When working alone, it remains internal -2. When pairing with other seniors, it's taken for granted -3. When pairing with juniors, only fragments get explained -4. Teams rarely standardize it because it feels boundless and hard to pin down -5. **There is no significant corpus of recorded senior architectural conversations in LLM training data** - -Obie notes: "Unless someone goes back in time and secretly records all the pair programming sessions that went on at Thoughtworks and Pivotal Labs and Hashrocket, there's literally no significant corpus/written record of this kind of spoken out loud thinking in existence. (Fuck, it would be so valuable though!)" - -This creates a critical problem: -- Junior and mid-level engineers lack access to this thinking -- Organizations can't standardize architectural decision-making -- AI coding agents lack the training data to develop senior judgment -- The industry repeatedly re-learns the same lessons - -**The insight**: When you pair program with AI coding agents, you must externalize your architectural thinking—you can't let the AI guess abstraction levels, risk tolerance, or sequencing decisions. This forced externalization makes reasoning visible in ways solo work rarely does. - -The AI Software Architect framework is uniquely positioned to capture and systematize this invisible knowledge. - -## Decision Drivers - -* **Knowledge Capture**: Create a documented corpus of senior architectural thinking that currently doesn't exist -* **Standardization**: Enable teams to share and align on architectural decision-making approaches -* **Training Value**: Provide learning resources for junior engineers and potentially future AI systems -* **Quality Improvement**: Make architectural reasoning explicit and reviewable rather than implicit -* **Framework Evolution**: Enhance our review and ADR processes to systematically capture senior thinking patterns -* **Industry Gap**: Address the lack of documented "senior thinking" that Obie identifies - -## Decision - -We are enhancing the AI Software Architect framework to **systematically externalize and document senior engineering thinking patterns** that are typically invisible. This positions the framework as not just a tool for individual projects, but as **the corpus of documented senior thinking that the industry lacks**. - -**Architectural Components Affected:** -* Review template (`.architecture/templates/review-template.md`) -* ADR template (`.architecture/templates/adr-template.md`) -* Architecture team members (`.architecture/members.yml`) -* Architectural principles (`.architecture/principles.md`) -* Framework documentation and positioning - -**Interface Changes:** -* Add "Senior Thinking Checklist" section to review template -* Add "Implementation Strategy" section to ADR template -* Add new "Implementation Strategist" team member -* Add new "Change Impact Awareness" architectural principle -* Update framework documentation to emphasize knowledge capture value - -## Consequences - -### Positive - -* **Creates the missing corpus**: We're building the documented record of senior thinking that Obie says doesn't exist -* **Improves decision quality**: Making reasoning explicit enables review and improvement -* **Accelerates learning**: Junior engineers can study documented architectural reasoning -* **Standardizes practice**: Teams can align on how to think about architectural decisions -* **Enhances framework value**: Positions us as solving a fundamental industry problem -* **Enables AI training**: Potential future value as training data for AI systems that need senior judgment -* **Forced deliberation**: The act of documentation slows thinking enough to catch intuition errors -* **Visible reasoning**: Makes trade-offs and assumptions explicit and debatable -* **Pattern recognition**: Accumulated ADRs and reviews become searchable knowledge base - -### Negative - -* **Additional documentation overhead**: Reviews and ADRs will take longer to create -* **Learning curve**: Teams need to learn to think in these structured ways -* **Potential analysis paralysis**: Too much structure could slow decision-making -* **Maintenance burden**: More documentation to keep current and relevant -* **Incomplete capture**: Can't capture every nuance of senior thinking in templates - -### Neutral - -* **Changes team workflows**: Architecture team members must adopt new thinking patterns -* **Expands template size**: Review and ADR templates become more comprehensive -* **Requires discipline**: Teams must commit to thorough documentation practices -* **Evolution over time**: The framework will continue to refine as we learn what works - -## Implementation - -### Phase 1: Enhance Core Templates - -**Review Template Enhancement** -* Add "Senior Thinking Checklist" section before individual reviews -* Include questions about change characterization, spread analysis, blast radius, reversibility, timing/sequencing, social cost, and confidence assessment -* Position this as framing for all subsequent specialist reviews - -**ADR Template Enhancement** -* Add "Implementation Strategy" section after Consequences -* Capture blast radius, reversibility, sequencing, social cost, and confidence level -* Make these considerations explicit parts of architectural decisions - -### Phase 2: Expand Architecture Team - -**Add Implementation Strategist** -* New specialist role focused on HOW and WHEN (not just WHAT) -* Specialties: change sequencing, blast radius analysis, reversibility design, team readiness assessment -* Participates in architecture reviews and ADR creation -* Brings explicit focus to timing and impact concerns - -### Phase 3: Update Architectural Principles - -**Add Change Impact Awareness Principle** -* Codify blast radius, reversibility, timing, and social cost as explicit architectural concerns -* Provide guidance on evaluating change impact -* Include examples and anti-patterns -* Position alongside existing principles - -### Phase 4: Framework Positioning - -**Update Documentation** -* Emphasize knowledge capture as core framework value -* Reference Obie's insights about missing senior thinking corpus -* Position framework as solving fundamental industry problem -* Create case studies showing framework capturing valuable architectural reasoning - -## Alternatives Considered - -### Alternative 1: Keep Templates Simple - -**Description**: Maintain current template structure without explicit senior thinking sections - -**Pros:** -* Lower overhead for creating reviews and ADRs -* Easier to learn and adopt -* Less risk of analysis paralysis - -**Cons:** -* Misses opportunity to capture valuable knowledge -* Doesn't address the fundamental problem Obie identifies -* Framework remains tactical rather than strategic -* Knowledge stays implicit and hard to share - -### Alternative 2: Create Separate Senior Thinking Documents - -**Description**: Don't modify templates, but create separate documents that capture senior thinking patterns - -**Pros:** -* Doesn't burden every review/ADR with additional structure -* Can be optional rather than mandatory -* Allows gradual adoption - -**Cons:** -* Senior thinking becomes disconnected from actual decisions -* Easy to skip or forget separate documentation -* Doesn't force externalization at decision time -* Less likely to become standard practice - -### Alternative 3: Implement Only Subset of Changes - -**Description**: Add some elements (e.g., just blast radius) but not comprehensive senior thinking framework - -**Pros:** -* Smaller scope and faster implementation -* Easier to test and refine -* Lower adoption barrier - -**Cons:** -* Loses holistic view of senior thinking -* May capture wrong subset of valuable knowledge -* Harder to position framework as comprehensive solution -* Incremental approach may lack coherent narrative - -## Validation - -**Acceptance Criteria:** -- [x] Review template includes Senior Thinking Checklist section -- [x] ADR template includes Implementation Strategy section -- [x] Implementation Strategist added to members.yml -- [x] Change Impact Awareness added to principles.md -- [ ] All templates tested with real architectural decisions -- [ ] Team trained on using enhanced templates -- [ ] At least 3 ADRs created using new template structure -- [ ] At least 1 architecture review using enhanced template - -**Testing Approach:** -* Create test ADRs using new template to validate completeness -* Conduct test architecture review with new checklist -* Gather feedback from framework users on template effectiveness -* Iterate on template structure based on real usage -* Compare quality of decisions made with vs without new sections -* Track time overhead and adjust if excessive - -## References - -* [Obie Fernandez - What happens when the coding becomes the least interesting part of the work (2025)](https://obie.medium.com/what-happens-when-the-coding-becomes-the-least-interesting-part-of-the-work-ab10c213c660) -* [ADR-002: Pragmatic Guard Mode](.architecture/decisions/adrs/ADR-002-pragmatic-guard-mode.md) - Related concern about preventing over-engineering -* [ADR-005: LLM Instruction Capacity Constraints](.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Context for template design -* `.architecture/principles.md` - Existing architectural principles -* `.architecture/members.yml` - Architecture team member definitions diff --git a/.architecture/decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md b/.architecture/decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md deleted file mode 100644 index 9aca817..0000000 --- a/.architecture/decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md +++ /dev/null @@ -1,1657 +0,0 @@ -# ADR-011: Claude Marketplace Plugin Implementation - -## Status - -Accepted - -**Path Selected**: Path A - Immediate Marketplace Submission (Revised) -**Decision Date**: 2026-01-21 -**Decision Maker**: Framework Maintainer -**Research Update**: 2026-01-21 - Post-decision research revealed Claude Code uses distributed marketplace model, significantly reducing implementation timeline from 6-10 weeks to 2-3 weeks - -## Context - -The AI Software Architect framework currently distributes through three channels: Claude Skills (reusable skills in ~/.claude/skills/), MCP Server (npm package: ai-software-architect), and Traditional Clone (git clone to .architecture/). The framework has achieved organic growth through GitHub and strong technical foundations with version 1.3.0. - -**Opportunity**: Claude Code's distributed marketplace system enables creation of self-hosted plugin marketplaces that improve discoverability for Claude-native users. Unlike centralized app stores (iOS, Chrome), anyone can create and host their own marketplace via a GitHub repository with a `marketplace.json` file. This provides a fourth distribution channel without submission/approval processes. - -**Current State**: -- **Technology**: Node.js 18+, @modelcontextprotocol/sdk 1.0.4, comprehensive YAML-based configuration -- **Codebase**: ~2,000 lines in MCP server (mcp/index.js), mature documentation (ADRs, reviews, principles), production-ready features (architecture reviews, ADR creation, pragmatic mode) -- **Maintenance**: Solo maintainer managing three distribution channels -- **Growth**: Organic through GitHub with demonstrated market validation - -**Marketplace Characteristics (Research Findings)**: -- **Distributed Model**: Each organization/project hosts their own marketplace (no centralized Anthropic marketplace) -- **Self-Publishing**: No submission/approval process - create marketplace.json and publish to GitHub -- **User Installation**: Users add marketplaces via `/plugin marketplace add owner/repo` -- **Discovery Challenge**: No centralized discovery - relies on GitHub, SEO, and community awareness -- **Quality Standards**: Self-enforced - no mandatory review process -- **Thin Wrapper Pattern**: Plugins can delegate to existing npm packages (95%+ code sharing) - -**Implementation Requirements (Revised)**: -Post-decision research revealed actual requirements are minimal compared to initial assessment: -- **Plugin Manifest**: `.claude-plugin/plugin.json` with name, version, description (1 hour) -- **Marketplace Catalog**: `.claude-plugin/marketplace.json` listing plugins (1 hour) -- **MCP Configuration**: `.mcp.json` delegating to existing npm package (30 minutes) -- **Documentation**: README updates with installation instructions (2-3 hours) -- **Testing**: Local validation with `claude --plugin-dir ./` (1 hour) -- **Total Timeline**: 2-3 weeks (down from original 6-10 weeks estimate) - -**Readiness Gap Reassessment**: -Original 4-7 week preparation timeline was based on assumption of centralized marketplace with quality gates. Distributed model eliminates: -- ❌ Submission approval process (no waiting) -- ❌ Mandatory test suite before publishing (self-enforced standards) -- ❌ Mandatory security audit before publishing (self-enforced standards) -- ❌ Mandatory performance benchmarks before publishing (self-enforced standards) -- ✅ Quality improvements still valuable but can be done iteratively post-launch - -**Strategic Tension (Resolved by Research)**: -The architecture review recommended a two-phase approach to validate demand before committing to a 4-7 week marketplace preparation phase. Post-decision research revealed the preparation timeline drops to 2-3 weeks due to the distributed marketplace model. This eliminates the primary rationale for phased validation (avoiding expensive upfront investment), making immediate marketplace creation a lower-risk decision. - -This ADR documents the original analysis and the revised implementation approach based on research findings. - -## Decision Drivers - -* **Discovery Enhancement**: Marketplace provides Claude-native discovery path for users who don't browse GitHub, potentially expanding user base significantly -* **Market Positioning**: Early presence in emerging marketplace creates first-mover advantage and establishes framework as primary architecture tool -* **Quality Requirements**: Marketplace submission requires production-grade quality (tests, security audit, performance benchmarks) that benefits all users -* **Maintenance Burden**: Fourth distribution channel increases ongoing support obligations for solo maintainer (version sync, marketplace compliance, increased user expectations) -* **Competitive Landscape**: No direct competitors visible in marketplace currently, creating opportunity window -* **Technical Foundation**: Existing MCP server provides excellent base; thin wrapper architecture (95%+ code sharing) minimizes additional burden -* **Demand Validation**: Framework growing organically without marketplace; unclear if marketplace addresses acute pain point or represents nice-to-have growth accelerator -* **Readiness Assessment**: Preparation gap (4-7 weeks) between current state and marketplace-ready; premature submission risks poor ratings and reputation damage -* **Reversibility**: Enhanced GitHub presence is fully reversible; marketplace creates ongoing obligations that are harder to exit -* **Progressive Disclosure Advantage**: ADR-005 instruction capacity optimization positions framework competitively for marketplace semantic search and token efficiency - -## Decision - -**We will pursue Path A: Immediate Marketplace Creation** with a revised 2-3 week implementation timeline. - -This decision prioritizes marketplace presence while acknowledging that post-decision research fundamentally changed the implementation approach. The distributed marketplace model eliminates submission approval processes and mandatory quality gates, reducing implementation from 6-10 weeks to 2-3 weeks. The thin wrapper architecture (delegating to existing MCP npm package) minimizes new code and maintenance burden. - -**Key Implementation Points**: -1. Create self-hosted marketplace in our GitHub repository (`.claude-plugin/marketplace.json`) -2. Create plugin manifest (`.claude-plugin/plugin.json`) referencing existing MCP package -3. Configure MCP delegation (`.mcp.json` invoking npm package via `npx`) -4. Update documentation with plugin installation instructions -5. Self-publish immediately (no approval process) -6. Quality improvements (tests, security, performance) remain valuable but can be implemented iteratively post-launch - -### Path A: Immediate Marketplace Creation (Revised) - -**Description**: Create self-hosted marketplace immediately with 2-3 week implementation timeline, leveraging distributed marketplace model. - -**Revised Approach** (Based on Research Findings): -1. **Week 1**: Plugin manifest creation, MCP configuration, local testing (5-8 hours total) -2. **Week 2**: Documentation updates, installation guide, demo video (8-12 hours total) -3. **Week 3**: Announcement, community engagement, initial feedback gathering (4-6 hours total) - -**No Longer Required for Initial Launch**: -- ❌ Centralized marketplace submission/approval (no centralized marketplace exists) -- ❌ Extensive test suite before publishing (can iterate post-launch) -- ❌ Formal security audit before publishing (can iterate post-launch) -- ❌ Performance benchmarks before publishing (can iterate post-launch) -- ❌ Beta phase with approval gates (self-publish, self-promote) - -**Architecture**: Thin wrapper pattern (unchanged) -``` -GitHub Repository (.claude-plugin/marketplace.json) - ↓ -Plugin Manifest (.claude-plugin/plugin.json) - ↓ -MCP Configuration (.mcp.json) - ↓ (delegates via npx) -MCP Core Package (ai-software-architect npm) -``` - -**Rationale (Revised)**: Distributed marketplace model makes immediate creation low-risk (2-3 weeks vs. 6-10 weeks). No submission approval means fully under our control. Thin wrapper delegates to existing npm package, minimizing maintenance burden. Quality improvements remain valuable but can be implemented iteratively rather than as prerequisites. - -**What Changed Post-Decision**: -After deciding on Path A, comprehensive research of official Claude Code documentation revealed: -- **No centralized marketplace**: Claude Code uses distributed, self-hosted marketplaces (not an Anthropic-curated app store) -- **No submission process**: We create `.claude-plugin/marketplace.json` in our GitHub repo and self-publish -- **No approval gates**: No waiting for review, no quality requirements to meet before publishing -- **Lower implementation cost**: 2-3 weeks (manifest creation + docs) vs. 6-10 weeks (extensive preparation + beta + approval) -- **Higher reversibility**: Fully under our control (our GitHub repo), no external approval to unwind -- **Different discovery model**: No centralized search/ratings; discovery via GitHub, SEO, community - -See [Research Document](./../research/claude-marketplace-requirements.md) for complete findings. - -### Path B: Phased Approach (Two-Phase Strategy) [Not Chosen] - -**Note**: This path was recommended unanimously by the architecture team but not selected. It is documented here for reference and future consideration. - -**Description**: Phase 1 validates demand through enhanced GitHub presence before conditionally proceeding to Phase 2 marketplace submission. - -**Phase 1** (Immediate, Weeks 1-2): -- Improve README (video, install decision tree, quick-start) -- Enable GitHub Discussions (FAQ, use cases, showcase) -- Create SHOWCASE.md (example projects, testimonials) -- Optimize SEO (repo description, topics, keywords) -- Establish baseline metrics (clone rate, installation preferences) - -**Phase 2** (Conditional, Month 3-4): -- **Triggers**: Proceed only if: - - GitHub clone rate plateaus after Phase 1 enhancements, OR - - 10+ explicit user requests for marketplace listing, OR - - Marketplace becomes dominant Claude discovery channel, OR - - Maintainer capacity increases (co-maintainer, automation complete) -- **Execution**: 6-week marketplace preparation (same as Path A) - -**Architecture** (if Phase 2 triggered): Same thin wrapper as Path A - -**Rationale**: Reduces risk by validating demand first, delivers quick value (2 weeks) while preserving marketplace option, fully reversible Phase 1 improves experience regardless of Phase 2 decision. - -### Architectural Decision (Regardless of Path) - -**If marketplace plugin is built, the architectural approach is:** - -**Thin Wrapper Architecture** with 95%+ code sharing: -- Marketplace plugin package (@ai-software-architect/marketplace) contains only marketplace-specific metadata and minimal adapter code -- Core functionality delegated to existing MCP npm package (ai-software-architect) -- Benefits: Minimizes maintenance burden, ensures feature parity across all channels, improvements benefit all users simultaneously -- Trade-off: Limits marketplace-specific optimizations initially (can evolve based on validated demand) - -**Core Parity + Optional Enhancements**: -- All channels provide identical core features (setup, ADR creation, reviews, status, pragmatic mode, implementation guidance) -- Platform-specific enhancements remain optional (Skills auto-invocation, marketplace ratings UI, MCP programmatic API) -- Users can switch installation methods without losing functionality - -**Version Synchronization**: -- Single version number shared across all channels -- Automated release pipeline: git tag → npm publish → Skills update → marketplace sync -- Prevents version drift and user confusion - -**Architectural Components Affected:** -* mcp/index.js - Needs modularization (extract to tools/ directory) -* mcp/package.json - Version coordination, marketplace metadata -* .github/workflows/ - New CI/CD pipeline for multi-channel releases -* README.md - Installation decision tree (Phase 1) or marketplace listing (Path A/Phase 2) -* .architecture/templates/ - No changes (core functionality unchanged) - -**Interface Changes:** -* New installation path: Claude marketplace (fourth channel) -* Automated release process (replaces manual coordination) -* Optional marketplace-specific features (ratings, in-app UI) in future iterations - -## Consequences - -### Path A: Immediate Marketplace Submission - -#### Positive - -* **Earliest Market Presence**: 6-week path to marketplace listing captures first-mover advantage in emerging platform -* **Brand Recognition**: Early presence establishes framework as "the" architecture tool for Claude users before competitors appear -* **Comprehensive Preparation**: 6-week preparation phase delivers production-grade improvements (tests, security audit, performance optimization) that benefit all users regardless of marketplace success -* **Quality Foundation**: Marketplace submission forces addressing technical debt (test suite, modularization) that improves long-term maintainability -* **Single Decision Point**: Clear 6-week plan with defined deliverables eliminates ongoing "should we do marketplace?" debate -* **Semantic Search Advantage**: Progressive disclosure pattern (ADR-005) optimizes for marketplace discovery through LLM-powered search -* **Auto-Update Infrastructure**: Marketplace enables automatic updates for users, reducing version fragmentation - -#### Negative - -* **Unvalidated Demand**: Proceeding without evidence that marketplace solves acute discovery problem; framework growing organically without it -* **Opportunity Cost**: 6 weeks invested before validating if marketplace drives meaningful adoption; could address other user needs instead -* **Limited Reversibility**: Marketplace submission creates ongoing obligations (support, compliance, maintenance); harder to exit than not entering -* **Maintenance Burden**: Fourth channel increases support surface for solo maintainer even with thin wrapper architecture; version sync, marketplace-specific issues, increased user expectations -* **Premature Commitment**: If marketplace doesn't deliver ROI, stuck with maintenance burden and missed opportunity to pursue alternatives -* **Quality Risk**: Aggressive 6-week timeline may compromise preparation quality if unexpected issues arise; poor launch ratings are hard to recover from - -#### Neutral - -* **Preparation Timeline**: 6-week preparation is significant investment but necessary for quality; no shortcuts available -* **Beta Phase**: Beta submission mitigates risk but adds 2-4 weeks before stable promotion; extends timeline but improves quality -* **Competitive Window**: First-mover advantage assumes marketplace becomes primary discovery; timing uncertain -* **User Distribution**: Unknown what percentage of potential users will discover framework via marketplace vs. GitHub vs. npm - -### Path B: Phased Approach (Two-Phase Strategy) - -#### Positive - -* **Risk Reduction**: Phase 1 (2 weeks) validates marketplace demand before Phase 2 (6 weeks) commitment; data-driven decision-making -* **Quick Value**: Phase 1 improvements (README, Discussions, SHOWCASE) deliver immediate benefits to all users regardless of Phase 2 -* **Fully Reversible**: Phase 1 enhances GitHub presence with zero downside; can proceed or stop based on evidence -* **Resource Efficiency**: Avoid 6-week marketplace investment if Phase 1 reveals demand is satisfied by enhanced GitHub presence -* **Capacity Flexibility**: Gives time for automation and tooling to mature, potentially adding co-maintainer before fourth channel -* **Lower Pressure**: Phase 1 success creates natural momentum for Phase 2; failure provides clear signal not to proceed -* **Validates Assumption**: Tests whether discovery is actual problem vs. framework perception issue (documentation, positioning) - -#### Negative - -* **Delayed Marketplace**: Earliest marketplace presence is Month 3-4 (if triggered); risks losing first-mover advantage to competitors -* **Two Decision Points**: Requires evaluation after Phase 1 (Month 3) to determine Phase 2; ongoing strategic consideration -* **Competitor Risk**: Delayed entry allows competitors to claim marketplace positioning first -* **Signal Interpretation**: Phase 1 metrics (clone rate, user requests) may not perfectly predict marketplace success; could miss opportunity due to false negative -* **Extended Timeline**: 8-10 weeks total (2 weeks Phase 1 + monitoring + 6 weeks Phase 2) vs. 6 weeks for immediate path -* **Analysis Burden**: Requires establishing metrics, monitoring, and decision framework for Phase 2 trigger evaluation - -#### Neutral - -* **Trigger Conditions**: Success criteria for Phase 2 (10+ requests, clone rate plateau) are somewhat arbitrary; require judgment -* **Preparation Reuse**: If Phase 2 triggered, can reuse some Phase 1 work (documentation, showcase) for marketplace listing -* **Timing Flexibility**: Phase 2 can be deferred indefinitely if Phase 1 continues delivering value; not now-or-never decision - -### Shared Consequences (Both Paths) - -#### Positive - -* **Thin Wrapper Architecture**: 95%+ code sharing minimizes maintenance burden of fourth channel -* **Quality Improvements**: Test suite, security audit, performance optimization benefit all users regardless of marketplace outcome -* **Multi-Channel Strategy**: Framework supports multiple user preferences (Skills, MCP, Traditional, Marketplace) maximizing accessibility - -#### Negative - -* **Complexity Increase**: Four distribution channels adds conceptual overhead for users ("which should I use?") requiring clear decision guidance -* **Support Surface**: More channels means more potential support questions and edge cases even with feature parity - -#### Neutral - -* **Solo Maintainer Constraint**: Both paths face fundamental capacity limitation; automation and thin wrapper mitigate but don't eliminate -* **Marketplace Maturity**: Claude marketplace is emerging platform; both paths bet on marketplace becoming significant discovery channel - -## Implementation Strategy - -### Blast Radius - -#### Impact Scope - -**If marketplace plugin succeeds**: -- Positive blast radius: New user segment (Claude-native users unfamiliar with GitHub/npm) -- Expands framework reach and accelerates adoption -- Increases visibility through marketplace ratings and curation - -**If marketplace plugin fails (poor ratings, low adoption)**: -- Negative blast radius: Reputation damage in Claude ecosystem -- Poor ratings are public and persistent, affecting all channels -- Support burden without corresponding adoption benefit -- Time investment (6 weeks) lost to opportunity cost - -**If marketplace plugin creates maintenance issues**: -- Affects solo maintainer capacity for all channels -- Version drift risk if release automation inadequate -- Support questions increase without proportional value - -#### Affected Components - -**Codebase**: -- mcp/index.js - Modularization (1,823 lines → focused modules) -- mcp/tools/ - New directory structure (setup.js, adr.js, review.js, pragmatic.js, status.js, implementation.js) -- mcp/tests/ - New test suite (integration tests for all operations) -- .github/workflows/ - CI/CD pipeline for multi-channel releases - -**Distribution**: -- Existing: Claude Skills, MCP npm package, Traditional clone -- New: Claude marketplace listing (fourth channel) -- Release process: Manual → Automated git tag workflow - -**Documentation**: -- README.md - Installation decision tree (helps users choose channel) -- SECURITY.md - Formal security policy for marketplace trust -- Marketplace listing - Descriptions, screenshots, onboarding - -#### Affected Teams - -**Internal** (Solo Maintainer): -- Development: 6 weeks preparation work (tests, refactoring, optimization) -- Support: Increased support surface from fourth channel -- Operations: Release automation setup and monitoring -- Strategy: Ongoing marketplace performance evaluation - -**External** (Users): -- Current users: No disruption (existing channels unchanged) -- New users: Additional installation option with marketplace discovery -- Community: Potential growth in GitHub Discussions and SHOWCASE contributions - -#### User Impact - -**Positive**: -- Improved discoverability for Claude-native users -- Auto-update capability for marketplace installs -- Trust signals from marketplace curation and ratings -- Installation decision tree clarifies channel choices - -**Negative**: -- Potential confusion from four installation methods -- Marketplace-specific issues (if quality preparation inadequate) -- Support response time may increase with larger user base - -**Mitigation**: -- Clear installation decision tree in README and marketplace listing -- Feature parity documentation matrix (what's core vs. platform-enhanced) -- Set expectations: 3-5 day support response time in marketplace description -- Beta phase validates quality before stable promotion - -#### Risk Mitigation - -1. **Quality Risk** (poor marketplace ratings): - - Mitigation: Complete 6-week preparation checklist (no shortcuts) - - Beta submission for early feedback before stable - - User testing (3-5 unfamiliar users) validates UX - - Success criteria: 4+ stars after 100 installs - -2. **Maintenance Burnout**: - - Mitigation: Thin wrapper architecture (95%+ code sharing) - - Automated release pipeline reduces manual work - - Community moderators for GitHub Discussions - - Deprecation path: Remove least-used channel if unsustainable - -3. **Version Drift**: - - Mitigation: Single version number across all channels - - Automated workflow: git tag → all channels updated - - CI tests verify feature parity - - Monitoring: Track version distribution monthly - -4. **Demand Mismatch** (marketplace doesn't drive adoption): - - Mitigation: Phase 1 validates demand (Path B only) - - Success metrics: 20%+ new users from marketplace - - Review at Month 6: Deprecate if <10% usage + high burden - - Reversibility: Thin wrapper enables graceful sunset - -### Reversibility - -#### Reversibility Level - -**Path A (Immediate Marketplace)**: **Low-Medium Reversibility** -- Marketplace submission creates public commitment and user expectations -- Poor ratings are persistent and visible, affecting reputation -- Deprecation possible but creates user disruption and negative perception -- Time investment (6 weeks preparation) is sunk cost - -**Path B, Phase 1 (Enhanced GitHub)**: **High Reversibility** -- GitHub improvements have zero downside, benefit all users -- No commitment to Phase 2; can stop at any point -- Investment (2 weeks) delivers value regardless of marketplace decision - -**Path B, Phase 2 (Marketplace if triggered)**: **Low-Medium Reversibility** -- Same reversibility profile as Path A once marketplace submitted -- Difference: Validated demand reduces likelihood of needing reversal - -**Thin Wrapper Architecture**: **Improves Reversibility** -- 95% code sharing means deprecating marketplace has minimal technical debt -- No marketplace-specific core features to migrate users away from -- Can sunset marketplace listing while preserving MCP npm package - -#### Rollback Feasibility - -**Before Marketplace Submission**: -- **Feasibility**: High -- **Process**: Stop preparation work, document learnings in ADR update -- **Impact**: Lost time investment, no external commitment -- **Timeline**: Immediate - -**During Beta Phase**: -- **Feasibility**: Medium-High -- **Process**: Acknowledge beta didn't meet quality bar, withdraw submission -- **Impact**: Some reputation hit ("beta didn't work out"), but recoverable -- **Timeline**: 1-2 weeks (communication, cleanup) - -**After Stable Launch**: -- **Feasibility**: Low-Medium -- **Process**: Announce deprecation (3-6 month timeline), guide users to alternative channels -- **Impact**: User disruption, negative perception, permanent marketplace record -- **Timeline**: 3-6 months (graceful migration period) - -#### Migration Paths - -**Forward Migration** (implementing marketplace): -- Path A: Direct 6-week preparation → beta → stable -- Path B: Phase 1 (2 weeks) → trigger evaluation → Phase 2 (6 weeks) → beta → stable - -**Rollback Migration** (exiting marketplace): -1. Announce deprecation with clear timeline (3-6 months) -2. Update marketplace listing: "Deprecated - use MCP or Skills instead" -3. Create migration guide: Marketplace → MCP npm package (identical functionality) -4. Redirect support: Marketplace issues → GitHub Discussions -5. Archive marketplace listing (if platform allows) or mark unmaintained - -**Evolution Path** (marketplace succeeds): -1. Start: Thin wrapper with feature parity (MVP) -2. Validation: Gather usage data via observability (3-6 months) -3. Enrichment: Add marketplace-specific features if data justifies (e.g., guided tutorials, in-app analytics, visual member customization) -4. Optimization: Leverage platform capabilities (auto-updates, ratings integration, community showcase) - -#### Options Preserved - -**By Phased Approach** (Path B): -- Option to stop after Phase 1 if metrics don't justify Phase 2 -- Option to delay Phase 2 until maintainer capacity increases -- Option to validate assumptions before costly commitment -- All Phase 1 improvements retained regardless of Phase 2 decision - -**By Thin Wrapper Architecture**: -- Option to add marketplace-specific features later (progressive enrichment) -- Option to deprecate marketplace without losing core codebase -- Option to repurpose wrapper for future distribution channels -- Flexibility to optimize per-platform without code duplication - -**By Beta Submission**: -- Option to iterate based on early feedback before stable -- Option to withdraw if beta reveals fundamental issues -- Option to validate quality with limited blast radius - -#### Commitments Made - -**Marketplace Submission Commits To**: -- Ongoing support and maintenance for marketplace users -- Marketplace policy compliance (security, privacy, content) -- Public ratings and reviews (reputation risk) -- Version synchronization across all channels -- Support response time expectations (<3-5 days) - -**Path A Commits Immediately**: -- 6-week preparation timeline before any validation -- Fourth distribution channel maintenance from Day 1 -- Marketplace submission outcome (accept/reject) outside our control - -**Path B Defers Commitment**: -- Only commit to 2-week Phase 1 immediately -- Marketplace commitment (Phase 2) is conditional on triggers -- Data-driven decision point at Month 3 review - -### Sequencing & Timing - -#### Prerequisites - -**For Either Path**: -- [ ] Strategic decision documented (this ADR) -- [ ] Maintainer capacity assessment (hours/week available) -- [ ] Current baseline metrics (GitHub clone rate, support time/week) - -**For Path A or Path B Phase 2**: -- [ ] Test framework selected (Node.js test runner or vitest) -- [ ] Security audit schedule confirmed -- [ ] Performance benchmarking tools identified -- [ ] CI/CD platform ready (GitHub Actions) -- [ ] Beta testing plan and tester recruitment strategy -- [ ] Marketplace submission requirements researched - -**For Path B Phase 1**: -- [ ] Video recording software/plan (demo video for README) -- [ ] GitHub Discussions categories defined -- [ ] SHOWCASE examples identified (need 3-5 example projects) - -#### System Readiness - -**Observability**: **Partially Ready** -- Current: GitHub Issues for feedback, qualitative only -- Needed: Local telemetry for usage patterns (deferred to Month 2-3) -- Marketplace Impact: Can proceed without, but limits iteration capability -- **Assessment**: Adequate for launch, improve post-launch - -**Dependencies**: **Ready** -- MCP SDK: Stable (@modelcontextprotocol/sdk 1.0.4) -- Node.js: LTS versions well-supported (18+) -- YAML parsing: Mature (js-yaml) -- **Assessment**: No dependency blockers - -**Infrastructure**: **Needs Preparation** -- Current: Manual npm publish, manual release coordination -- Needed: CI/CD pipeline for multi-channel releases (3-4 days) -- Marketplace Impact: Critical for preventing version drift -- **Assessment**: Build during preparation phase (Week 5-6) - -**Data Migration**: **Not Applicable** -- No user data migrations required -- No breaking changes to existing channels -- **Assessment**: No concerns - -#### Team Readiness - -**Understanding**: **High for Core, Medium for Marketplace** -- Team (architecture review members) understands marketplace opportunity thoroughly -- Maintainer understands MCP architecture and framework internals -- Marketplace-specific knowledge (submission process, policies) needs research (1-2 days) -- **Assessment**: Research needed but not blocking - -**Skills**: **High for Core, Medium for Marketplace** -- Strong: Node.js development, MCP protocol, architecture documentation -- Adequate: Testing (setup needed but concept understood), security practices -- Needs Development: CI/CD pipeline setup, performance benchmarking, user testing facilitation -- **Assessment**: Skill gaps addressable during preparation - -**Training Needs**: -- Marketplace submission guidelines (2-4 hours research) -- Test framework setup and best practices (1 day learning) -- Performance benchmarking tools (4-8 hours) -- CI/CD pipeline configuration (4-8 hours) -- User testing facilitation techniques (4 hours) -- **Total**: ~3 days learning budget within 6-week timeline - -**Consensus**: **Strong for Phased, Mixed for Immediate** -- Architecture team unanimous: Two-phase approach (Path B) recommended -- User stated preference: "Pursue marketplace now" (Path A) -- **Resolution**: This ADR presents both paths for informed decision -- **Assessment**: Consensus on phased approach; immediate path requires accepting architects' concerns - -#### Sequencing Concerns - -**Should Other Changes Happen First?** - -**Path A Sequencing**: -1. ✅ **First**: Test suite + modularization (Week 1-2) - Foundation for confident changes -2. ✅ **Second**: Security audit + performance baseline (Week 3-4) - Quality gates for submission -3. ✅ **Third**: Error UX + metadata (Week 5) - User-facing polish -4. ✅ **Fourth**: Beta submission + testing (Week 6) - Validation before stable -5. ✅ **Last**: Stable promotion (Month 3) - Full marketplace presence - -**Path B Sequencing**: -1. ✅ **First**: Phase 1 GitHub enhancements (Week 1-2) - Quick value, validate demand -2. ✅ **Second**: Monitor metrics (Month 1-3) - Gather evidence -3. ⏸️ **Conditional**: Phase 2 marketplace preparation (same as Path A sequencing) - Only if triggered - -**Sequencing Rationale**: -- **Tests first** because they enable confident refactoring and catch regressions -- **Modularization first** because it improves all subsequent work (easier to test, audit, optimize modular code) -- **Security before beta** because marketplace requires trust, can't fix post-submission -- **Performance before beta** because first impressions matter, poor performance affects ratings -- **Beta before stable** because validation with limited blast radius catches issues -- **Path B Phase 1 first** because low-cost validation reduces Phase 2 risk - -**What Coordination Is Required?** - -**Internal Coordination** (Solo Maintainer): -- No team coordination needed (single contributor) -- Self-coordination: Block calendar for 6-week preparation (Path A) or 2-week Phase 1 (Path B) -- Priority trade-offs: Marketplace preparation vs. feature requests vs. support - -**External Coordination** (Community): -- Beta tester recruitment (announce 2-3 weeks before Week 6) -- SHOWCASE contributor outreach (for example projects) -- GitHub Discussions seeding (recruit 2-3 power users to seed discussions) -- Social media timing (coordinate marketplace launch announcement) - -**Platform Coordination** (Claude Marketplace): -- Submit inquiry about marketplace requirements (Week 0, 1-2 day response) -- Beta submission review (Week 6, 1-2 week review cycle) -- Stable promotion approval (Month 3, variable timeline) - -**Are There Timing Dependencies?** - -**Claude Marketplace Maturity**: -- Marketplace is emerging (new platform, evolving) -- Risk: Submitting too early → immature platform, limited discoverability -- Risk: Submitting too late → competitors claim positioning -- **Assessment**: Timing window open now but closing (next 3-6 months) - -**Framework Roadmap**: -- No upcoming breaking changes planned -- No features in flight that would conflict -- **Assessment**: No internal timing blockers - -**Maintainer Capacity**: -- Solo maintainer availability fluctuates -- 6-week preparation requires sustained focus (~20-30 hours/week) -- **Assessment**: Confirm capacity before committing to Path A - -**Competitive Timing**: -- No direct competitors visible in marketplace currently -- Risk increases over time as marketplace matures -- **Assessment**: First-mover window is limited (months, not years) - -#### Readiness Assessment - -**Path A (Immediate Marketplace)**: **Needs Preparation** -- System: Ready after 6-week preparation phase -- Team: Ready with 3 days learning budget -- Timing: Window open, capacity needs confirmation -- **Recommendation**: Proceed if maintainer capacity available (20-30 hrs/week for 6 weeks) - -**Path B, Phase 1 (Enhanced GitHub)**: **Ready to Implement** -- System: Ready (no technical prerequisites) -- Team: Ready (skills available) -- Timing: Optimal (immediate value, no dependencies) -- **Recommendation**: Proceed immediately (2 weeks distributed effort) - -**Path B, Phase 2 (Marketplace if Triggered)**: **Conditional on Phase 1** -- Evaluate readiness after 3-month Phase 1 monitoring -- Reassess maintainer capacity, automation maturity, demand signals -- **Recommendation**: Defer decision until Phase 1 complete - -### Social Cost - -#### Learning Curve - -**For Users**: -- **Path A**: Medium - - New installation option (marketplace) requires decision guidance - - Four installation methods create choice complexity - - Mitigation: Installation decision tree in README and marketplace listing - - Time to proficiency: <30 minutes (choosing channel + installation) - -- **Path B, Phase 1**: Low - - Improvements to existing GitHub experience (README, Discussions) - - No new concepts or installation methods - - Time to proficiency: <5 minutes (marginally better onboarding) - -- **Both Paths**: Core functionality unchanged - - Users who choose any channel get same features (ADRs, reviews, pragmatic mode) - - No new architectural concepts to learn - - Existing users unaffected - -**For Maintainer**: -- **Path A**: High - - Test framework setup and writing tests (new skill, 1 day learning) - - CI/CD pipeline configuration (4-8 hours) - - Performance benchmarking (4-8 hours) - - Marketplace submission process (2-4 hours) - - Total learning time: ~3 days within 6-week timeline - - Ongoing: Fourth channel support patterns (learn through experience) - -- **Path B, Phase 1**: Low - - Content creation (README, SHOWCASE) uses existing skills - - GitHub Discussions administration (< 2 hours learning) - - Ongoing: Minimal new knowledge required - -#### Cognitive Load - -**Path A (Marketplace)**: - -**Mental Overhead**: -- Four distribution channels to maintain (Skills, MCP, Traditional, Marketplace) -- Version synchronization across channels (mitigated by automation) -- Channel-specific support questions ("How do I install from marketplace?") -- Marketplace policy compliance monitoring -- Multi-channel release coordination (mitigated by CI/CD) - -**Complexity vs. Clarity Trade-off**: -- **Complexity Added**: Fourth distribution channel, marketplace-specific issues, release automation pipeline -- **Clarity Improved**: Forces documentation of installation decision criteria, formalizes security practices, improves test coverage -- **Net Assessment**: Complexity increase justified IF marketplace drives significant adoption (>20% of users) - -**Decision Fatigue**: -- Four-channel strategy requires ongoing "which channel for this user?" thinking -- Feature parity maintenance: "Should this feature work in marketplace?" decisions -- Support prioritization: "Which channel's issues are most urgent?" - -**Path B, Phase 1 (Enhanced GitHub)**: - -**Mental Overhead**: -- Minimal: Improves existing channel documentation -- GitHub Discussions moderation (incremental, ~1 hour/week) -- SHOWCASE maintenance (ad-hoc, community-driven) - -**Complexity vs. Clarity Trade-off**: -- **Complexity Added**: Minimal (content creation, community engagement) -- **Clarity Improved**: Better README, documented installation choices, community examples -- **Net Assessment**: Clarity gains significantly outweigh minimal complexity - -**Path B, Phase 2 (Marketplace if Triggered)**: -- Same cognitive load as Path A -- Difference: Validated demand justifies cognitive overhead - -#### Clarity Assessment - -**Will This Help More Than Confuse?** - -**Path A**: **Depends on Execution** -- **Helps if**: Marketplace becomes primary Claude discovery, installation decision tree is clear, feature parity maintained -- **Confuses if**: Users don't know which channel to choose, marketplace-specific issues create support burden, documentation unclear -- **Probability of Help**: Medium (60% - depends on marketplace adoption and documentation quality) -- **Mitigation**: Excellent installation decision tree, feature parity matrix, clear channel differentiation - -**Path B, Phase 1**: **Yes - Clear Help** -- Better README helps all users immediately -- GitHub Discussions reduces "where do I ask questions?" confusion -- SHOWCASE provides concrete examples and inspiration -- **Probability of Help**: High (90% - direct improvements to existing pain points) - -**Explanation Required**: - -**Path A**: -- Installation decision tree (visual flowchart + text) -- Channel comparison matrix (when to use Skills vs. MCP vs. Traditional vs. Marketplace) -- Feature parity documentation (what's core vs. platform-specific) -- Marketplace-specific setup guide (first-run experience) -- Support channels guide (where to get help for each installation method) - -**Path B, Phase 1**: -- Updated README with video and quick-start -- GitHub Discussions welcome post and FAQ -- SHOWCASE contribution guidelines - -**Onboarding Impact**: - -**Path A**: -- **Positive**: Marketplace onboarding can be optimized (tutorial flow, guided setup) -- **Negative**: More choices create decision paralysis for new users -- **Net**: Neutral to slightly negative unless decision tree is exceptional -- **Recommendation**: User testing (3-5 unfamiliar users) validates onboarding - -**Path B, Phase 1**: -- **Positive**: Improved README and video accelerate time-to-value -- **Negative**: None (improvements only) -- **Net**: Positive onboarding impact -- **Recommendation**: Quick implementation, immediate benefit - -#### Documentation Needs - -**Path A (Immediate Marketplace)**: -- [ ] Installation decision tree (flowchart + text) - 1 day -- [ ] Feature parity matrix (core vs. platform-enhanced) - 0.5 days -- [ ] Marketplace-specific setup guide - 0.5 days -- [ ] SECURITY.md (formal security policy) - 0.5 days -- [ ] Marketplace listing description (semantic search optimized) - 1 day -- [ ] Contributing guidelines update (new structure after modularization) - 0.5 days -- [ ] Release process documentation (CI/CD pipeline) - 0.5 days -- [ ] Support channels guide (where to get help) - 0.5 days -- **Total**: ~5 days documentation work (within 6-week timeline) - -**Path B, Phase 1 (Enhanced GitHub)**: -- [ ] README improvements (video embed, quick-start, decision tree) - 1 day -- [ ] GitHub Discussions welcome post and FAQ seeding - 0.5 days -- [ ] SHOWCASE.md creation (template + 3 examples) - 1 day -- [ ] Installation decision tree (for README) - 0.5 days -- **Total**: ~3 days documentation work (within 2-week timeline) - -**Path B, Phase 2 (If Triggered)**: -- Same documentation needs as Path A -- Can reuse Phase 1 work (installation decision tree, SHOWCASE examples) - -### Confidence Assessment - -#### Model Correctness Confidence - -**Overall Confidence**: **Medium-High (7/10)** - -**High Confidence Areas** (8-9/10): -- Thin wrapper architecture will minimize maintenance burden (proven pattern from Skills implementation) -- Test suite will improve quality and catch regressions (industry standard practice) -- Enhanced GitHub presence will improve onboarding (validated by user feedback on documentation gaps) -- Progressive disclosure (ADR-005) provides competitive advantage for marketplace semantic search - -**Medium Confidence Areas** (6-7/10): -- Marketplace will become primary discovery channel for Claude users (assumption, not validated) -- Marketplace adoption will justify fourth channel maintenance burden (depends on platform maturity and user behavior) -- 6-week preparation timeline is sufficient for marketplace-ready quality (based on estimates, not experience) -- Phase 1 metrics (clone rate, user requests) will accurately predict marketplace demand (assumption about signal correlation) - -**Lower Confidence Areas** (4-5/10): -- First-mover advantage will persist as marketplace matures (depends on competitive landscape and platform evolution) -- Solo maintainer can sustainably support four channels even with automation (capacity constraint) -- Claude marketplace will become dominant enough to justify investment (platform adoption risk) - -**What Could Make Tests Pass While Model Is Wrong?** - -**Scenario 1**: Tests verify thin wrapper delegates to MCP core correctly, but marketplace users encounter issues that don't affect other channels -- **Example**: Marketplace-specific permission model, version conflicts, platform-specific bugs -- **Mitigation**: Beta phase with real marketplace users before stable promotion - -**Scenario 2**: Performance benchmarks show acceptable metrics in test projects, but real user projects hit scaling issues -- **Example**: Large monorepos (1000s of files), complex .architecture configurations, concurrent operations -- **Mitigation**: Beta testing with diverse project types and sizes - -**Scenario 3**: Security audit finds no issues in current code, but marketplace environment exposes new attack vectors -- **Example**: Marketplace-specific permissions, interaction with other plugins, platform security model -- **Mitigation**: Marketplace security review process, file system isolation tests - -**Scenario 4**: Phase 1 metrics show strong GitHub engagement, but marketplace users have different needs/expectations -- **Example**: Marketplace users expect guided tutorials, in-app UI, different UX patterns than GitHub/npm users -- **Mitigation**: Phase 2 user research before implementation, don't assume channel equivalence - -#### Assumptions - -**Critical Assumptions** (High Impact if Wrong): - -1. **Assumption**: Marketplace will provide significant discoverability improvement over GitHub/npm - - **Validation**: Medium - No data on marketplace reach, assuming based on platform prominence - - **Impact if Wrong**: Marketplace investment doesn't deliver ROI, fourth channel maintenance burden without benefit - - **Test**: Phase 1 establishes baseline, Phase 2 measures marketplace contribution - -2. **Assumption**: Thin wrapper architecture (95% code sharing) adequately minimizes maintenance burden - - **Validation**: High - Proven pattern from Skills implementation shows viability - - **Impact if Wrong**: Fourth channel creates unsustainable maintenance load even with automation - - **Test**: Beta phase reveals actual maintenance burden before stable commitment - -3. **Assumption**: Solo maintainer capacity can sustain four channels with automation and thin wrapper - - **Validation**: Low - No experience managing four channels yet - - **Impact if Wrong**: Maintainer burnout, project stagnation, quality degradation across all channels - - **Test**: Monitor time spent on support/maintenance during beta phase - -**Moderate Assumptions** (Medium Impact if Wrong): - -4. **Assumption**: 6-week preparation timeline produces marketplace-ready quality - - **Validation**: Medium - Based on estimates, not prior marketplace submission experience - - **Impact if Wrong**: Rushed preparation leads to marketplace rejection or poor launch ratings - - **Test**: Beta submission reveals preparation adequacy before stable - -5. **Assumption**: Marketplace users have similar needs/expectations as GitHub/npm users (feature parity sufficient) - - **Validation**: Low - No data on marketplace user preferences yet - - **Impact if Wrong**: Marketplace users dissatisfied with experience, poor ratings, requires rework - - **Test**: Beta phase user feedback reveals marketplace-specific needs - -6. **Assumption**: Phase 1 metrics (GitHub clone rate, user requests) accurately predict marketplace demand - - **Validation**: Low - Correlation between GitHub and marketplace adoption is assumed - - **Impact if Wrong**: Phase 1 shows weak signals, defer Phase 2, miss marketplace opportunity - - **Test**: Cannot fully validate without actually launching marketplace (chicken-and-egg problem) - -**Lower Assumptions** (Lower Impact if Wrong): - -7. **Assumption**: Claude marketplace will mature into dominant discovery channel for plugins - - **Validation**: Low - Marketplace is emerging, adoption trajectory uncertain - - **Impact if Wrong**: Marketplace never achieves critical mass, but framework still benefits from quality improvements - - **Test**: Monitor marketplace growth metrics quarterly - -8. **Assumption**: No direct competitors will claim marketplace positioning in next 3-6 months - - **Validation**: Low - Competitive landscape can change rapidly - - **Impact if Wrong**: Lose first-mover advantage, but framework quality still valuable - - **Test**: Monthly competitive research (marketplace plugin search) - -#### Uncertainty Areas - -**Technical Uncertainties**: -- Marketplace submission requirements and review process (unknown until researched) -- Marketplace-specific technical constraints (permissions, APIs, limitations) -- Performance at scale with real user projects (not benchmarked yet) -- Thin wrapper edge cases (marketplace-specific issues not visible in other channels) - -**Market Uncertainties**: -- Marketplace adoption trajectory (will it become primary discovery channel?) -- User preferences between channels (why choose marketplace vs. npm vs. Skills?) -- Competitive landscape evolution (who else is building architecture tools?) -- Platform risk (marketplace policies, curation criteria, platform changes) - -**Resource Uncertainties**: -- Solo maintainer capacity sustainability (can four channels be maintained long-term?) -- Automation effectiveness (will CI/CD reduce coordination burden enough?) -- Community contribution potential (will users contribute to SHOWCASE, Discussions?) -- Time-to-marketplace-ready (are 6-week estimates accurate?) - -#### Validation Approach - -**Phase 1 Validation** (Path B): -1. **Implement GitHub enhancements** (2 weeks) -2. **Establish baseline metrics** (Week 1): GitHub clone rate, installation method preferences, support question frequency -3. **Monitor monthly** (Month 1-3): Track metrics, count marketplace requests, note user feedback themes -4. **Evaluate at Month 3**: Do metrics justify Phase 2? (10+ requests OR clone rate plateau OR clear demand signals) -5. **Decision point**: Proceed to Phase 2 or continue enhancing GitHub presence - -**Preparation Validation** (Path A or Path B Phase 2): -1. **Test suite validation** (Week 2): Verify 80%+ coverage, all operations tested, CI passing -2. **Security validation** (Week 3): npm audit clean, security policy documented, isolation tests passing -3. **Performance validation** (Week 4): Baselines meet targets (startup <500ms, setup <10s, memory <50MB) -4. **UX validation** (Week 5): User testing (3-5 unfamiliar users) reveals no blocking issues - -**Beta Validation** (Week 6): -1. **Submit beta** to marketplace, respond to review feedback -2. **Recruit beta testers** (10-20 users), gather feedback through surveys and interviews -3. **Monitor metrics**: Installation success rate, error frequency, support question volume -4. **Iterate** based on feedback -5. **Decision gate**: Proceed to stable only if 4+ star average rating, no blocking issues - -**Post-Launch Validation** (Month 3+): -1. **Track success metrics**: Marketplace installs, ratings, user distribution across channels -2. **Monitor maintenance burden**: Time spent on marketplace-specific support, release coordination -3. **Evaluate ROI at Month 6**: Does marketplace justify fourth channel? (>20% users + manageable burden) -4. **Decision gate**: Continue, optimize, or deprecate based on evidence - -#### Edge Cases - -**Edge Cases Not Captured by Testing**: - -1. **Large Monorepo Performance**: - - **Description**: Framework setup in repository with 10,000+ files, multiple .architecture directories, complex configurations - - **Why Missed**: Test projects typically small (100s of files), performance tests use reference project size - - **Impact**: Poor marketplace experience for enterprise users, slow operations, timeouts - - **Mitigation**: Document known limitations, add configurable timeouts, implement sample-based analysis for large projects - -2. **Concurrent Multi-User Operations**: - - **Description**: Multiple developers in same repository running architecture operations simultaneously - - **Why Missed**: Tests assume single-user usage, no concurrency testing - - **Impact**: File locking issues, race conditions, corrupted YAML - - **Mitigation**: Document single-user-at-a-time limitation, add file locking if becomes common pain point - -3. **Marketplace-Specific Permission Models**: - - **Description**: Claude marketplace may have different permission requirements or file system access constraints - - **Why Missed**: Tests run in standard Node.js environment, marketplace environment unknown until submission - - **Impact**: Submission rejection or runtime failures in marketplace but not other channels - - **Mitigation**: Beta phase reveals environment-specific issues before stable - -4. **Plugin Interaction Edge Cases**: - - **Description**: Framework interacting with other Claude marketplace plugins, potential conflicts or unexpected behaviors - - **Why Missed**: Tests assume isolated environment, no other plugins present - - **Impact**: Mysterious bugs that only manifest when specific plugin combinations installed - - **Mitigation**: Document known incompatibilities as discovered, isolate file operations to .architecture/ namespace - -5. **Version Drift During Transition**: - - **Description**: User has v1.3.0 via MCP, marketplace releases v1.4.0, user confused by feature availability differences - - **Why Missed**: Tests verify single channel, not cross-channel user experience - - **Impact**: Support burden, user confusion about feature availability - - **Mitigation**: Prominent version synchronization messaging, automated release pipeline enforces parity - -6. **Internationalization Issues**: - - **Description**: Framework assumes English, but marketplace may have international users with different locales, file systems (non-ASCII paths) - - **Why Missed**: Tests use English and standard ASCII paths - - **Impact**: File operations fail for users with non-ASCII home directories, error messages unclear for non-English users - - **Mitigation**: Document English-only limitation currently, prioritize i18n if marketplace shows international adoption - -## Implementation - -### Overview - -Implementation follows the revised Path A approach based on research findings showing distributed marketplace model. Original 6-10 week timeline reduced to 2-3 weeks by eliminating submission approval processes and mandatory pre-launch quality gates. - -### Path A: Immediate Marketplace Creation (2-3 Weeks, Revised) - -**Week 1: Plugin Manifest & Configuration (5-8 hours total)** - -**Day 1: Create Plugin Structure (2-3 hours)** -- Create `.claude-plugin/` directory -- Write `plugin.json` manifest: - - Required fields: name, version, description - - Optional fields: author, homepage, repository, license, keywords - - Component paths: mcpServers reference -- Write `marketplace.json` catalog: - - Marketplace metadata: name, owner - - Plugin entry with source path -- Create `.mcp.json` configuration: - - Delegate to npm package via npx - - Configure environment variables - -**Day 2: Local Testing & Validation (2-3 hours)** -- Test locally: `claude --plugin-dir ./` -- Validate manifests: `claude plugin validate .` -- Verify MCP server starts correctly -- Test all framework operations (setup, ADR, reviews, status, pragmatic mode) -- Fix any issues discovered - -**Day 3: Documentation Review (1-2 hours)** -- Review current documentation for accuracy -- Plan README updates and installation guide - -**Week 2: Documentation & Demo Materials (8-12 hours total)** - -**Days 1-2: README Updates (4-6 hours)** -- Add "Install as Claude Code Plugin" section to README -- Installation instructions: - ```bash - /plugin marketplace add anthropics/ai-software-architect - /plugin install architect-tools@ai-software-architect - ``` -- Create installation decision tree (when to use Plugin vs. MCP vs. Skills vs. Clone) -- Add plugin badge/button -- Update existing documentation references - -**Days 3-4: Demo Video & Installation Guide (4-6 hours)** -- Record demo video (5-10 minutes): - - Installing the plugin - - Running setup - - Creating an ADR - - Starting an architecture review -- Create detailed installation guide with screenshots -- Embed video in README and documentation site - -**Day 5: SEO & Discovery Optimization (1-2 hours)** -- Update repository topics: `claude-code`, `claude-plugin`, `architecture`, `adr`, `documentation` -- Update repository description -- Optimize README for searchability: "claude code architecture plugin" - -**Week 3: Launch & Community Engagement (4-6 hours total)** - -**Day 1: Commit & Push (1 hour)** -- Commit all plugin files to repository -- Push to GitHub -- Verify marketplace.json is accessible -- Test installation from published repository - -**Day 2: Announcement (2-3 hours)** -- GitHub Discussions: "Now available as Claude Code plugin" -- Update project documentation site -- Social media announcement (if applicable) -- Community engagement (Reddit, Discord, etc.) - -**Days 3-5: Monitor & Respond (1-2 hours)** -- Monitor GitHub Discussions for questions -- Respond to installation issues -- Gather initial feedback -- Track metrics: clone rate, discussions activity, reported issues - -**Total Timeline**: 2-3 weeks from decision to marketplace availability - -**Post-Launch (Ongoing)**: -- Monitor adoption metrics (installations via clone rate, GitHub Discussions activity) -- Respond to user feedback and issues -- Iterate on documentation based on common questions -- Consider quality improvements based on validated usage patterns: - - Test suite (if regression issues emerge) - - Performance optimization (if performance complaints arise) - - Error message improvements (if users report confusion) - - Security formalization (if enterprise adoption increases) - - Release automation (if multi-channel coordination becomes burden) - -**Quality Improvements (Deferred, Iterative)**: - -The original 6-week preparation phase included quality improvements that remain valuable but are no longer prerequisites for launch in the distributed marketplace model. These can be implemented iteratively based on validated need: - -1. **Test Suite** (5-7 days, if needed): - - Implement if regression bugs become frequent - - Target 80%+ coverage of core MCP operations - - Integrate into CI for ongoing quality - -2. **Code Modularization** (3-5 days, if needed): - - Extract mcp/index.js (1,823 lines) to focused modules - - Implement if codebase navigation becomes problem - - Benefits all channels, not just plugin - -3. **Security Audit** (1-2 days, if needed): - - Formalize security practices - - Document in SECURITY.md - - Implement if enterprise adoption requires it - -4. **Performance Optimization** (3-4 days, if needed): - - Benchmark and optimize if performance complaints arise - - Config caching, template pre-loading - - Progress indicators for long operations - -5. **Release Automation** (3-4 days, if needed): - - CI/CD pipeline for multi-channel releases - - Implement if manual coordination becomes unsustainable - - Version synchronization automation - -These improvements transition from "required before launch" to "valuable when validated by actual usage patterns." - -### Thin Wrapper Architecture (If Marketplace Pursued) - -**Package Structure**: -``` -@ai-software-architect/marketplace (thin wrapper) -├── package.json (marketplace metadata + ai-software-architect dependency) -├── index.js (~50 lines: import MCP core, export marketplace adapter) -├── README.md (marketplace-specific installation guide) -└── assets/ - ├── icon.png - ├── screenshot1.png - └── screenshot2.png - -ai-software-architect (MCP core, existing package) -├── mcp/ -│ ├── index.js (main export, delegates to tools/) -│ ├── tools/ -│ │ ├── setup.js -│ │ ├── adr.js -│ │ ├── review.js -│ │ ├── pragmatic.js -│ │ ├── status.js -│ │ └── implementation.js -│ ├── tests/ (integration tests) -│ └── package.json -└── .architecture/ (framework templates and config) -``` - -**Code Sharing Visualization**: -``` -┌─────────────────────────────────────────────────┐ -│ Claude Marketplace Plugin │ -│ (~50 lines wrapper code) │ -│ - Marketplace metadata │ -│ - Adapter layer (if needed) │ -└────────────────┬────────────────────────────────┘ - │ 95% delegation - ↓ -┌─────────────────────────────────────────────────┐ -│ MCP Core Package (ai-software-architect) │ -│ (~2000 lines core functionality) │ -│ - All tool implementations │ -│ - Configuration handling │ -│ - Template rendering │ -│ - YAML parsing │ -└─────────────────────────────────────────────────┘ -``` - -**Version Synchronization**: -- Single semver version number shared across all channels (e.g., v1.4.0) -- Git tag triggers automated workflow: - 1. Run tests (all must pass) - 2. Publish npm package (ai-software-architect@1.4.0) - 3. Update Skills bundle (if installed, prompt upgrade) - 4. Trigger marketplace update (@ai-software-architect/marketplace@1.4.0) - 5. Generate changelog (GitHub Releases) -- Prevents version drift, ensures feature parity - -**Platform-Specific Enhancements** (Future, Optional): -- Phase 1 (MVP): Feature parity, thin wrapper only -- Phase 2 (Validated): Marketplace-specific features if usage data justifies - - Guided tutorials (if onboarding drop-off high) - - In-app analytics dashboard (if usage metrics valuable) - - Visual member customization (if users request) - - Ratings integration (display framework's own architecture reviews) - -### Release Automation Details - -**CI/CD Pipeline** (GitHub Actions): -```yaml -# .github/workflows/release.yml -name: Multi-Channel Release - -on: - push: - tags: - - 'v*.*.*' # Trigger on semver tags (e.g., v1.4.0) - -jobs: - test: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - - uses: actions/setup-node@v3 - with: - node-version: '18' - - run: npm ci - - run: npm test # All tests must pass - - publish-npm: - needs: test - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - - uses: actions/setup-node@v3 - with: - node-version: '18' - registry-url: 'https://registry.npmjs.org' - - run: npm ci - - run: npm publish - env: - NODE_AUTH_TOKEN: ${{secrets.NPM_TOKEN}} - - update-marketplace: - needs: publish-npm - runs-on: ubuntu-latest - steps: - # Marketplace-specific update process - # (Details depend on Claude marketplace API/process) - - run: echo "Trigger marketplace update to ${{ github.ref_name }}" - - generate-changelog: - needs: [publish-npm, update-marketplace] - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - with: - fetch-depth: 0 # Full history for changelog - - uses: release-drafter/release-drafter@v5 - with: - version: ${{ github.ref_name }} - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} -``` - -**Manual Release Process** (Fallback): -1. Update version in mcp/package.json -2. Commit: "chore: release v1.4.0" -3. Create git tag: `git tag v1.4.0` -4. Push with tags: `git push origin main --tags` -5. CI/CD pipeline handles the rest - -## Alternatives Considered - -### Alternative 1: Immediate Marketplace Submission Without Preparation - -**Description**: Submit to marketplace immediately using current codebase (v1.3.0 as-is) without 6-week preparation phase. - -**Approach**: -- Create marketplace listing with current MCP server -- Minimal metadata and description -- No additional testing, security audit, or optimization -- Submit and iterate based on marketplace feedback - -**Pros**: -* **Fastest Time to Market**: 1-2 weeks vs. 6-10 weeks for Path A or Path B -* **Validates Marketplace Opportunity Early**: Discovers if marketplace drives adoption without preparation investment -* **Lower Upfront Investment**: No 6-week preparation effort, minimal sunk cost if marketplace doesn't work out -* **Real Feedback Quickly**: Marketplace users provide feedback on actual pain points vs. anticipated issues - -**Cons**: -* **High Rejection Risk**: Marketplace may require tests, security audit, performance benchmarks before approval -* **Reputation Damage**: Poor ratings due to inadequate preparation are public and persistent -* **Quality Concerns**: No test suite means higher bug risk, no security audit raises trust issues, no performance benchmarks means poor experience possible -* **Difficult Recovery**: Bad first impression is hard to fix; users may not give second chance after poor experience -* **Maintainer Stress**: Issues discovered post-launch create firefighting and reactive work -* **Architectural Debt**: Skipping modularization makes future improvements harder - -**Rejection Rationale**: **Rejected - Too High Risk** - -The marketplace submission without preparation risks reputation damage that's difficult to recover from. Marketplace ratings are public and persistent; poor launch reception affects all channels, not just marketplace. The 6-week preparation phase addresses real quality gaps (no tests, unaudited security, no performance baselines) that could lead to marketplace rejection or poor user experience. While faster, this approach optimizes for speed at the expense of quality, contradicting the framework's positioning as a tool for thoughtful architectural decision-making. The preparation work (tests, security, performance) benefits all users regardless of marketplace outcome, making the investment worthwhile. - -### Alternative 2: No Marketplace Plugin (Status Quo) - -**Description**: Continue with current three-channel distribution strategy (Claude Skills, MCP npm package, Traditional clone) without adding marketplace presence. - -**Approach**: -- Focus on enhancing existing channels -- Improve GitHub presence (README, Discussions, SHOWCASE) -- Optimize Skills and MCP packages -- Rely on organic discovery through GitHub, npm, social media - -**Pros**: -* **Zero New Maintenance Burden**: Avoids fourth channel support obligations -* **Proven Channels**: Existing distribution working well, framework growing organically -* **Solo Maintainer Sustainability**: Three channels already at capacity limit; adding fourth risks burnout -* **Investment in Core**: Time spent on features and improvements vs. distribution infrastructure -* **Flexibility**: Can reconsider marketplace at any time based on demand signals -* **Risk Avoidance**: No marketplace rejection risk, no reputation concerns, no preparation effort required - -**Cons**: -* **Limited Discoverability**: Claude-native users may not discover framework through GitHub/npm -* **Competitive Risk**: Competitors may claim marketplace positioning first, establishing mindshare -* **Missed Opportunity**: Marketplace could provide significant user growth if it becomes dominant discovery channel -* **No Auto-Updates**: Users on npm or Skills require manual update checks -* **No Marketplace Benefits**: Miss ratings/reviews social proof, curation trust signals, marketplace search optimization - -**Rejection Rationale**: **Partially Rejected - Path B Phase 1 Delivers Value First** - -Status quo misses the legitimate opportunity for improved discoverability that marketplace represents. However, this alternative correctly identifies sustainability concerns for solo maintainer. The phased approach (Path B) incorporates the best of this alternative: Phase 1 enhances existing channels (similar to this alternative) while preserving the option for Phase 2 marketplace (addresses discoverability gap). This alternative is too conservative if marketplace could significantly expand user base, but too risky if it immediately adds fourth channel burden. Path B provides the middle ground: Enhance what exists, validate demand, then conditionally pursue marketplace. - -### Alternative 3: Marketplace-Only Distribution (Sunset Other Channels) - -**Description**: Consolidate to marketplace as single distribution channel, deprecate Claude Skills, MCP npm package, and Traditional clone over 6-12 month transition. - -**Approach**: -- Announce marketplace as primary/recommended installation method -- Deprecate other channels with 6-12 month timeline -- Migrate existing users to marketplace -- Focus all support and development on marketplace experience - -**Pros**: -* **Single Channel Simplicity**: Eliminates multi-channel maintenance burden completely -* **Focused Support**: All users on same distribution, easier to support and troubleshoot -* **Marketplace Optimization**: Can build marketplace-specific features without cross-channel parity concerns -* **Resource Efficiency**: Solo maintainer manages one channel, not four -* **Clear Messaging**: Users know exactly how to install (marketplace only) - -**Cons**: -* **User Disruption**: Forces migration on users happy with current channels (Skills, MCP, Traditional) -* **Platform Lock-In**: Fully dependent on Claude marketplace for distribution; platform risk -* **Reduced Flexibility**: Users can't choose installation method based on their preferences/constraints -* **Accessibility Loss**: Some users prefer npm (CI/CD integration), git clone (offline use), or Skills (programmatic automation) -* **Reversibility**: Hard to re-add channels after deprecation; significant trust damage -* **Marketplace Dependence**: If marketplace fails or changes policies, framework loses all distribution - -**Rejection Rationale**: **Strongly Rejected - Unnecessary Lock-In** - -Marketplace-only distribution creates unacceptable platform risk and user disruption without proportional benefit. Current multi-channel strategy respects user preferences and provides redundancy against platform changes. The thin wrapper architecture (95% code sharing) already minimizes maintenance burden of multiple channels. Users genuinely prefer different installation methods for valid reasons: npm enables CI/CD integration, Skills enable programmatic automation, Traditional enables offline use and version control. Forcing migration would alienate existing user base to solve a maintainer capacity problem that thin wrapper + automation already address. This alternative optimizes for maintainer convenience at the expense of user agency and platform resilience. - -### Alternative 4: Rich Marketplace-Native Plugin (Not Thin Wrapper) - -**Description**: Build marketplace plugin as standalone package with marketplace-optimized features and UX, separate from MCP npm package. - -**Approach**: -- Create @ai-software-architect/marketplace as full-featured package -- Implement marketplace-specific features from Day 1: - - Guided tutorials and onboarding flows - - In-app analytics dashboard - - Visual member customization UI - - Interactive setup wizard - - Ratings integration -- Separate codebase from MCP package (10-20% code sharing instead of 95%) - -**Pros**: -* **Optimized Experience**: Marketplace plugin feels native to platform, leverages all marketplace capabilities -* **Competitive Differentiation**: Rich features distinguish from potential competitors who use thin wrapper -* **User Delight**: Polished, marketplace-specific UX creates "wow" experience -* **Platform-Native**: Embraces marketplace capabilities rather than treating as afterthought -* **Feature Innovation**: Freedom to experiment with marketplace-unique features without cross-channel constraints - -**Cons**: -* **Massive Maintenance Burden**: Two separate codebases (marketplace + MCP) with only 10-20% code sharing -* **Development Time**: 3-6 months to build rich marketplace-native features vs. 6 weeks for thin wrapper -* **Feature Drift**: Marketplace and MCP packages diverge over time; users confused about feature availability -* **Bug Duplication**: Bugs must be fixed in two places; regressions more likely -* **Unsustainable for Solo**: Solo maintainer cannot realistically maintain two divergent implementations -* **Speculative Features**: Building rich features before validating demand violates YAGNI principles -* **Testing Overhead**: Must test marketplace-specific features separately; double the test suite - -**Rejection Rationale**: **Strongly Rejected - Violates Pragmatic Principles** - -Rich marketplace-native plugin violates ADR-002 Pragmatic Guard Mode by building speculative features before validating demand. We don't yet know if marketplace users need guided tutorials, in-app analytics, or visual customization—these are assumptions. The thin wrapper approach (Alternative chosen in Decision) follows "core + 1 example + defer" pattern: Start with feature parity (MVP), gather usage data, add marketplace-specific features if validated demand justifies. Solo maintainer cannot sustainably maintain two divergent codebases. This alternative optimizes for theoretical user delight at the expense of maintainability, pragmatism, and sustainability. If marketplace succeeds and data shows specific features would improve adoption, progressive enrichment can add them without initial commitment. - -## Pragmatic Enforcer Analysis - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -### Overall Decision Complexity Assessment - -The marketplace plugin decision addresses a real but non-critical opportunity: improved discoverability for Claude-native users. The framework is functioning well and growing organically without marketplace presence (necessity: moderate). Adding a fourth distribution channel introduces maintenance complexity, version synchronization overhead, and support burden (complexity: moderately high). The thin wrapper architecture and phased approach mitigate complexity, but the fundamental question remains: Is this solving a current, validated problem or speculating on future growth? - -Key observation: The architecture team's unanimous recommendation for the two-phase approach (Path B) reflects appropriate pragmatic thinking. Phase 1 (2 weeks) delivers immediate value while validating assumptions before Phase 2 (6 weeks) commitment. This aligns with YAGNI principles: Build what's needed when evidence supports it, not before. - -### Decision Challenge - -**Proposed Decision**: "Pursue Claude marketplace distribution to improve discoverability and establish early presence in emerging platform" - -#### Necessity Assessment: 6/10 - -**Current Need**: -- Framework is growing organically through GitHub (⬆ necessity: proven demand exists) -- Discovery problem is real for Claude-native users unfamiliar with GitHub/npm (⬆ necessity: validates gap) -- BUT: No explicit user requests for marketplace listing (⬇ necessity: unvalidated demand) -- BUT: Framework functioning well without marketplace (⬇ necessity: not solving acute pain) - -**Future Need**: -- Marketplace could become primary Claude plugin discovery channel (⬆ necessity IF marketplace matures) -- Early presence captures first-mover advantage (⬆ necessity: timing window exists) -- BUT: Marketplace adoption trajectory uncertain (⬇ necessity: platform risk) -- BUT: Competitors may not materialize (⬇ necessity: speculative competitive pressure) - -**Cost of Waiting**: -- Lose first-mover advantage if marketplace becomes dominant (moderate cost, conditional on platform success) -- Competitors may claim positioning (moderate cost, conditional on competitors appearing) -- Current growth continues via GitHub/npm (minimal cost: status quo working) -- Preparation work (tests, security, modularization) benefits all channels regardless (waiting doesn't prevent later marketplace submission) - -**Evidence of Need**: -- Architecture review: Thorough analysis, identifies real opportunity but not acute need -- User feedback: No explicit marketplace requests (0 recorded) -- Market data: No competitors visible (validates opportunity but doesn't validate necessity) -- Growth metrics: Organic growth without marketplace (reduces urgency) - -**Necessity Score**: **6/10** - Nice to have for accelerated growth and competitive positioning, but not must-have for function. Framework succeeds without marketplace; marketplace accelerates success but doesn't enable it. - -#### Complexity Assessment: 7/10 - -**Added Complexity**: -- Fourth distribution channel (⬆ complexity: multi-channel coordination) -- Marketplace-specific compliance and policies (⬆ complexity: platform obligations) -- Version synchronization across four channels (⬆ complexity: coordination overhead) -- Marketplace-specific support questions (⬆ complexity: increased support surface) -- Release automation pipeline (⬆ complexity: CI/CD setup and maintenance) -- BUT: Thin wrapper architecture (95% code sharing) significantly mitigates (⬇ complexity: minimal code duplication) -- BUT: Automated release pipeline reduces manual coordination (⬇ complexity: reduces ongoing burden) - -**Maintenance Burden**: -- 6-week preparation phase (⬆ complexity: significant upfront investment) -- Ongoing support for fourth channel (⬆ complexity: incremental support load) -- Marketplace policy monitoring and compliance (⬆ complexity: platform changes) -- BUT: Preparation work benefits all channels (⬇ complexity: improvements reusable) -- BUT: Solo maintainer already managing three channels successfully (⬇ complexity: pattern established) - -**Learning Curve**: -- Test framework setup (⬆ complexity: new tooling, ~1 day learning) -- CI/CD pipeline configuration (⬆ complexity: GitHub Actions, ~4-8 hours) -- Performance benchmarking (⬆ complexity: new metrics, ~4-8 hours) -- Marketplace submission process (⬆ complexity: platform-specific, ~2-4 hours) -- Total: ~3 days learning, manageable within 6-week timeline (⬇ complexity: contained learning investment) - -**Dependencies Introduced**: -- Marketplace platform dependency (⬆ complexity: platform risk, policy changes) -- CI/CD infrastructure dependency (⬆ complexity: GitHub Actions reliability) -- BUT: No new code dependencies (⬇ complexity: thin wrapper delegates to existing MCP) -- BUT: Automated release reduces human coordination dependency (⬇ complexity: less manual coordination) - -**Complexity Score**: **7/10** - Moderately high complexity from fourth channel and multi-channel coordination, but thin wrapper (95% code sharing) and automation significantly mitigate. Preparation work (tests, security, performance) adds one-time complexity that delivers ongoing value. - -#### Alternative Analysis - -**Are Simpler Alternatives Adequately Considered?** - -Yes, the ADR presents four alternatives: - -1. **Alternative 2 (Status Quo - No Marketplace)**: Simplest approach, zero new complexity - - Adequately considered: Pros/cons documented, identifies sustainability benefit - - Appropriately rejected: Misses legitimate discoverability opportunity - - **Pragmatic Assessment**: This is the true "do nothing" baseline; rejected for valid reasons (competitive positioning, discovery gap) - -2. **Path B, Phase 1 (Enhanced GitHub Before Marketplace)**: Simpler than immediate marketplace - - Well-designed: 2-week investment, immediate value, validates demand before Phase 2 - - Aligns with pragmatic principles: Quick wins first, defer marketplace until triggered - - **Pragmatic Assessment**: This IS the simpler alternative and is appropriately recommended by architecture team - -3. **Alternative 1 (Immediate Without Preparation)**: Simpler timeline but higher risk - - Appropriately rejected: Quality concerns and reputation risk justify 6-week preparation - - **Pragmatic Assessment**: Simplicity here is false economy; skipping preparation creates technical debt - -4. **Alternative 3 (Marketplace-Only)**: Simpler maintenance (one channel) but harmful user impact - - Appropriately rejected: User disruption and platform lock-in outweigh simplicity - - **Pragmatic Assessment**: Optimizes for wrong simplicity (maintainer) at expense of user agency - -**Is There a Missing Simpler Alternative?** - -**Simpler Alternative Proposal**: **Phase 1 Only (Enhanced GitHub) + No Marketplace Commitment** - -- Implement Path B, Phase 1 (2 weeks): README, Discussions, SHOWCASE, SEO -- Monitor metrics quarterly (not monthly) to reduce overhead -- No formal commitment to ever do Phase 2; marketplace remains option, not plan -- Revisit marketplace annually: "Is demand validated yet?" If yes, then consider - -**Rationale**: -- Delivers all Phase 1 value (better onboarding, community, examples) -- Validates whether discovery is actually the problem vs. documentation/positioning -- Zero marketplace complexity added -- Preserves marketplace option indefinitely without commitment -- Allows maintainer capacity to naturally increase (automation, co-maintainer) before considering fourth channel - -**Why This Is Simpler**: -- No Phase 2 trigger monitoring (eliminates metrics tracking overhead) -- No expectation management ("we'll do marketplace if...") removes decision burden -- Framework continues thriving on three channels; marketplace becomes "nice to have someday" not "let's validate to decide" - -#### Recommendation: ⚠️ Approve with Simplifications - -**Selected Path**: **Path B, Phase 1 with Simplified Phase 2 Triggers** - -**Justification**: - -**Why Approve**: -1. **Legitimate Opportunity**: Marketplace could improve discoverability; opportunity is real even if not urgent -2. **Phased Approach**: Path B Phase 1 delivers immediate value (2 weeks) while deferring marketplace decision -3. **Quality Improvements**: Preparation work (tests, security, performance) benefits all users regardless of marketplace -4. **Thin Wrapper Mitigation**: 95% code sharing minimizes fourth channel maintenance burden -5. **Alignment with Principles**: Phased approach respects "Change Impact Awareness" (ADR-010) by validating demand first - -**Why Simplifications**: -1. **Necessity is Moderate (6/10)**: Nice to have, not must-have; justifies cautious approach -2. **Complexity is Moderate-High (7/10)**: Fourth channel adds real burden for solo maintainer -3. **Ratio is 1.17 (below 1.5 threshold but close)**: Acceptable but warrants simplifications -4. **Unvalidated Demand**: No user requests for marketplace; speculative opportunity - -**Simplifications Recommended**: - -1. **Reduce Phase 2 Trigger Complexity**: - - **Current**: Monitor monthly, track multiple metrics (clone rate, requests, marketplace dominance, capacity) - - **Simplified**: Monitor quarterly, single primary trigger (15+ explicit user requests for marketplace) - - **Rationale**: Monthly tracking adds overhead; user requests are clearest signal of actual demand - -2. **Extend Phase 1 Timeline**: - - **Current**: 3-month evaluation period before Phase 2 decision - - **Simplified**: 6-month evaluation period (defer decision longer) - - **Rationale**: Gives Phase 1 improvements more time to impact metrics; reduces urgency on marketplace decision - -3. **Add "Do Nothing" Option to Phase 2**: - - **Current**: Phase 2 triggered if conditions met (binary: proceed or defer) - - **Simplified**: Phase 2 triggered only if conditions met AND maintainer capacity confirmed (add capacity gate) - - **Rationale**: Prevents proceeding to Phase 2 if solo maintainer overwhelmed even if demand validated - -4. **Defer Observability Implementation**: - - **Current**: Implement local telemetry during preparation phase (Month 2-3) - - **Simplified**: Defer observability until after stable marketplace launch (Month 6+) - - **Rationale**: Observability is nice-to-have for iteration; not necessary for launch; focus on core quality (tests, security, performance) - -5. **Reduce Marketplace-Specific Features Scope**: - - **Current**: Consider marketplace-specific features (guided tutorials, in-app analytics, visual customization) if usage data justifies - - **Simplified**: Explicitly commit to thin wrapper only; no marketplace-specific features for first 12 months - - **Rationale**: Feature parity is sufficient; marketplace-specific features are speculative; defer until proven necessary - -**Pragmatic Score**: -- **Necessity**: 6/10 (nice to have for growth, not critical for function) -- **Complexity**: 7/10 (fourth channel adds burden, mitigated by thin wrapper and automation) -- **Ratio**: 7/6 = **1.17** (below 1.5 threshold for balanced mode, acceptable) - -**Overall Assessment**: - -The marketplace decision represents reasonable, slightly aggressive growth strategy. Complexity-to-necessity ratio of 1.17 is below the 1.5 threshold for balanced mode, indicating acceptable engineering. However, the closeness to the threshold (1.17 vs. 1.5) and moderate necessity score (6/10) justify simplifications to reduce risk. - -**Key Insight**: Path B (phased approach) already embodies pragmatic thinking by deferring marketplace commitment until demand validated. The architecture team's unanimous recommendation for Path B demonstrates appropriate YAGNI application. The simplifications above further reduce complexity and risk while preserving the legitimate marketplace opportunity. - -**If Proceeding to Phase 2**: -- Complete 6-week preparation checklist without shortcuts (tests, security, performance) -- Use beta phase to validate quality before stable -- Monitor maintenance burden monthly after launch -- Be willing to deprecate marketplace if ROI doesn't justify burden (review at Month 12) - -**Final Recommendation**: -- ✅ **Approve Path B, Phase 1 immediately** (2 weeks, high value, zero downside) -- ⏸️ **Defer Phase 2 decision to Month 6** (simplified triggers: 15+ user requests + maintainer capacity confirmation) -- 📊 **Quarterly metric review** (not monthly) to reduce overhead -- 🎯 **Thin wrapper only** for first 12 months (no marketplace-specific features) -- ⚖️ **Capacity gate**: Proceed to Phase 2 only if maintainer capacity sustainable (automation complete, co-maintainer considered, support burden manageable) - -## Validation - -### Acceptance Criteria - -**For Either Path**: -- [ ] Strategic path decision documented in this ADR (Path A, Path B, or hybrid) -- [ ] Decision rationale clearly articulated -- [ ] Maintainer capacity confirmed (hours/week available for chosen path) -- [ ] Baseline metrics established (GitHub clone rate, support time/week, installation method distribution) - -**Path A or Path B Phase 2 Preparation**: -- [ ] Test suite implemented: 80%+ integration test coverage, all MCP tools tested (setup, ADR, reviews, status, pragmatic, implementation) -- [ ] Tests integrated into CI (GitHub Actions): All tests pass before any release -- [ ] MCP server modularized: mcp/index.js extracted to tools/ directory (<500 lines per module) -- [ ] All tests passing after modularization (no regressions) -- [ ] Security audit complete: npm audit clean (no high/critical CVEs), file operations reviewed, SECURITY.md documented -- [ ] File system isolation tests passing (validates .architecture/ namespace boundaries) -- [ ] Performance baselines established and documented: startup time <500ms, setup <10s with progress, memory <50MB -- [ ] Config caching implemented (in-memory cache with file watcher invalidation) -- [ ] Error messages rewritten (user-friendly language, actionable next steps, tested with unfamiliar users) -- [ ] Release automation pipeline implemented (GitHub Actions): git tag → npm publish → Skills update → marketplace sync -- [ ] Marketplace metadata created: semantic search-optimized description, icon (multiple sizes), 3+ screenshots, category chosen -- [ ] Installation decision tree created (flowchart + text) and added to README -- [ ] Feature parity documentation matrix completed (core vs. platform-enhanced features) -- [ ] User testing conducted: 3-5 unfamiliar users, screen-share sessions, issues identified and addressed -- [ ] Beta submission approved by marketplace (no blocking issues in review feedback) - -**Path B, Phase 1 (Enhanced GitHub)**: -- [ ] Demo video recorded and embedded prominently in README -- [ ] "Install with Claude" quick-start section added to README -- [ ] Installation decision tree created (flowchart + text) and added to README -- [ ] GitHub Discussions enabled with categories (FAQ, Use Cases, Show and Tell, Feature Requests) -- [ ] 10+ discussion topics seeded in GitHub Discussions -- [ ] SHOWCASE.md created with template and 3-5 example projects -- [ ] Repository description and topics updated for SEO (Claude, architecture, ADR, documentation) -- [ ] Baseline metrics documented (GitHub clone rate, installation method preferences, support question frequency) -- [ ] Metrics tracking sheet created (monthly updates for 6 months) - -**Path B, Phase 2 Triggers (for proceeding to marketplace)**: -- [ ] One or more triggers met: - - [ ] 15+ explicit user requests for marketplace listing (Pragmatic Enforcer simplification from 10+), OR - - [ ] GitHub clone rate plateaued after Phase 1 enhancements (<10% growth over 3 months), OR - - [ ] Marketplace becoming dominant Claude discovery channel (research indicates), OR - - [ ] Maintainer capacity increased (co-maintainer added, automation matured, support burden reduced) -- [ ] Maintainer capacity confirmed sustainable for fourth channel (Pragmatic Enforcer capacity gate) - -**Beta Phase Success** (if marketplace pursued): -- [ ] Beta submission approved within 2 weeks -- [ ] 50+ beta installs achieved -- [ ] 4+ star average rating maintained -- [ ] No blocking issues discovered during beta -- [ ] User feedback gathered and addressed (top 3 issues fixed) - -**Stable Marketplace Success** (if beta successful): -- [ ] Stable promotion approved -- [ ] 100+ installs within first month -- [ ] 4+ star average rating maintained after 100 installs -- [ ] 20%+ of new users attributed to marketplace (via user survey or install analytics) -- [ ] Support burden remains manageable (<2 hours/week on marketplace-specific issues) -- [ ] No major security or performance incidents - -### Testing Approach - -**Preparation Phase Testing** (Path A or Path B Phase 2): - -1. **Test Suite Validation**: - - Framework: Node.js built-in test runner or vitest - - Coverage: Integration tests for all MCP tools (9 tools total) - - Scope: Happy paths + error cases + edge cases (large projects, invalid configs, permission issues) - - CI Integration: GitHub Actions runs tests on every commit and before every release - - Success: 80%+ coverage, all tests passing, no regressions detected - -2. **Security Audit Validation**: - - Automated: Run `npm audit` weekly in CI, block releases with high/critical CVEs - - Manual: Review file operations scope (ensure .architecture/ namespace isolation), check dependency chain - - Isolation Tests: Test suite verifies operations don't escape .architecture/ directory - - Documentation: SECURITY.md documents data handling policy, file system scope, no external API calls - - Success: No high/critical vulnerabilities, isolation tests passing, policy documented - -3. **Performance Benchmark Validation**: - - Benchmarks: Startup time, setup duration, operation latency (ADR creation, review start), memory footprint - - Reference Projects: Small (10 files), medium (100 files), large (1000+ files) - - Targets: Startup <500ms, setup <10s with progress indicators, memory <50MB baseline - - Optimization: Config caching, template pre-loading, setup progress indicators - - Success: All targets met on reference projects, baselines documented - -4. **User Experience Validation**: - - Error Messages: Audit all error cases, rewrite with user-friendly language and actionable next steps - - User Testing: Recruit 3-5 users unfamiliar with framework, conduct screen-share installation and first-use sessions - - Observation: Note confusion points, abandoned flows, error encounters (don't intervene) - - Iteration: Address top 3 issues discovered across testers - - Success: User testing reveals no blocking onboarding issues, error messages validated as clear - -**Beta Phase Testing** (if marketplace pursued): - -1. **Real-World Validation**: - - Recruit 10-20 beta testers (announce in README, GitHub Discussions, social media) - - Monitor install success rate, error frequency, support question volume - - Gather feedback via surveys and interviews - - Track metrics: installs, ratings, review content analysis - - Success: 4+ star average rating, actionable feedback gathered, no blocking issues - -2. **Marketplace Environment Validation**: - - Verify plugin works in marketplace environment (may differ from local testing) - - Test marketplace-specific features (auto-updates, ratings integration) - - Check for marketplace-specific issues (permissions, interaction with other plugins) - - Success: No marketplace-specific bugs discovered, environment-compatible - -**Post-Launch Testing** (stable marketplace): - -1. **Ongoing Quality Monitoring**: - - CI/CD tests prevent regressions on every release - - Monitor error rates via user reports - - Track performance metrics if observability implemented - - Quarterly security audits (npm audit, dependency updates) - - Success: No major incidents, quality maintained over time - -2. **Multi-Channel Parity Testing**: - - Verify feature parity across all channels (Skills, MCP, Traditional, Marketplace) - - Test version synchronization (all channels updated simultaneously) - - User testing: Can users switch channels without losing functionality? - - Success: Core features identical across channels, no version drift, smooth channel switching - -## References - -* **Research Findings**: [Claude Marketplace Requirements Research](./../research/claude-marketplace-requirements.md) - Post-decision research revealing distributed marketplace model, significantly reducing implementation timeline from 6-10 weeks to 2-3 weeks -* **Architecture Review**: [Claude Marketplace Plugin Architecture Review](./../reviews/claude-marketplace-plugin.md) - Comprehensive architecture team evaluation with unanimous two-phase recommendation -* **Related ADRs**: - - [ADR-002: Pragmatic Guard Mode](./../decisions/adrs/ADR-002-pragmatic-guard-mode.md) - YAGNI principles and complexity analysis framework applied in this decision - - [ADR-005: LLM Instruction Capacity Constraints](./../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Progressive disclosure pattern provides marketplace competitive advantage for semantic search - - [ADR-010: Externalizing Senior Engineering Thinking](./../decisions/adrs/ADR-010-externalizing-senior-engineering-thinking.md) - Implementation Strategy framework guides this ADR's structure (blast radius, reversibility, sequencing, social cost, confidence) -* **Framework Artifacts**: - - [.architecture/principles.md](./../principles.md) - Architectural principles guiding this decision (Pragmatic Simplicity, Livable Code, Change Impact Awareness, Evolvability) - - [.architecture/members.yml](./../members.yml) - Architecture team member definitions (Systems Architect, Implementation Strategist, Pragmatic Enforcer, etc.) - - [.architecture/config.yml](./../config.yml) - Pragmatic mode configuration (balanced intensity, 1.5 ratio threshold) -* **Official Claude Code Documentation**: - - [Plugin Marketplaces Overview](https://code.claude.com/docs/en/plugin-marketplaces.md) - Understanding Claude marketplace ecosystem, discovery, and curation - - [Plugin Creation Guide](https://code.claude.com/docs/en/plugins.md) - How to build and structure Claude plugins - - [Plugins Reference](https://code.claude.com/docs/en/plugins-reference.md) - Technical reference for plugin APIs and capabilities - - [MCP Documentation](https://code.claude.com/docs/en/mcp.md) - Model Context Protocol integration, which provides the technical foundation for marketplace plugins - - [Skills Documentation](https://code.claude.com/docs/en/skills.md) - Claude Skills distribution channel (existing channel 1) - - [Settings Reference](https://code.claude.com/docs/en/settings-reference.md) - Claude Code configuration affecting plugin behavior -* **Technical Foundation**: - - Current MCP Server: `mcp/index.js` (1,823 lines, version 1.3.0) - - MCP SDK: `@modelcontextprotocol/sdk` 1.0.4 - - Framework version: 1.3.0 (production-ready) - ---- - -**Created**: 2026-01-21 -**Updated**: 2026-01-21 (post-decision research findings incorporated) -**Author**: Architecture Team (8 members: Systems Architect, Domain Expert, Security Specialist, Performance Specialist, Maintainability Expert, Implementation Strategist, AI Engineer, Pragmatic Enforcer) -**Next Steps**: -1. Create plugin manifests (.claude-plugin/plugin.json, .claude-plugin/marketplace.json, .mcp.json) -2. Test locally with `claude --plugin-dir ./` -3. Update README with plugin installation instructions -4. Commit and push to GitHub -5. Announce plugin availability - -**Review Cycle**: Monthly monitoring of adoption metrics (GitHub clone rate, Discussions activity, installation method distribution) diff --git a/.architecture/decisions/adrs/example-pragmatic-caching-layer.md b/.architecture/decisions/adrs/example-pragmatic-caching-layer.md deleted file mode 100644 index 07622b4..0000000 --- a/.architecture/decisions/adrs/example-pragmatic-caching-layer.md +++ /dev/null @@ -1,379 +0,0 @@ -# ADR-999: Implement Distributed Caching Layer for Product Catalog - -**Example ADR demonstrating Pragmatic Enforcer Analysis** - ---- - -## Status - -Draft → Modified after pragmatic analysis → Approved with simplifications - -## Context - -Our e-commerce platform currently serves the product catalog directly from PostgreSQL. As traffic has grown, we've noticed some database load during peak hours. Our architecture team has been discussing implementing a comprehensive caching strategy. - -**Current situation**: -- Product catalog has ~10,000 items -- Peak traffic: ~500 requests/second -- Database response time: 50-200ms (acceptable) -- 2 database replicas handle read load adequately -- No current performance complaints from users -- Product data changes ~100 times per day - -**Proposed solution** (original): -Implement a distributed caching layer with Redis Cluster to improve performance and prepare for future scale. - -## Decision Drivers - -* Database load during peak hours (currently ~60% of capacity) -* Anticipated growth in product catalog -* Best practices recommend caching for read-heavy workloads -* Improved response times would enhance user experience -* Preparing for Black Friday / holiday traffic spikes - -## Decision - -**Original Proposal**: Implement a comprehensive distributed caching layer using Redis Cluster - -**Architectural Components Affected:** -* Product service API layer -* Database access layer -* New: Redis Cluster (3+ nodes) -* New: Cache invalidation service -* New: Cache warming service -* Monitoring and observability systems - -**Interface Changes:** -* Product service methods will check cache before database -* New cache invalidation API endpoints -* New admin endpoints for cache management -* New metrics endpoints for cache performance - -**Implementation Details**: -1. Deploy Redis Cluster (3 primary + 3 replica nodes) -2. Implement cache-aside pattern in product service -3. Build cache invalidation system with pub/sub -4. Create cache warming jobs for popular products -5. Add cache health monitoring and alerting -6. Implement cache key versioning strategy -7. Add admin tools for cache inspection and clearing - -**Estimated effort**: 3-4 weeks -**Infrastructure cost**: +$800/month (Redis Cluster) -**Maintenance burden**: New system to monitor, update, and troubleshoot - -## Consequences - -### Positive - -* Reduced database load (estimated 70-80% reduction in read queries) -* Faster response times (estimated 10-30ms vs 50-200ms) -* Better prepared for traffic spikes -* Follows industry best practices -* Scalability headroom for future growth -* Improved system resilience (cache can serve stale data during DB issues) - -### Negative - -* Added system complexity (6 new Redis nodes) -* Cache invalidation complexity (consistency challenges) -* Additional infrastructure cost ($800/month) -* New failure modes (cache inconsistency, cluster split-brain) -* Team needs to learn Redis Cluster operations -* Debugging complexity (is issue in cache or database?) - -### Neutral - -* Need to monitor cache hit rates and effectiveness -* Cache warming strategy needs periodic review -* Cache key strategy needs documentation - -## Implementation - -**Phase 1: Foundation (Week 1-2)** -* Deploy Redis Cluster -* Implement basic cache-aside pattern -* Add monitoring and alerting - -**Phase 2: Advanced Features (Week 2-3)** -* Implement cache invalidation system -* Build cache warming jobs -* Add admin tooling - -**Phase 3: Optimization (Week 4)** -* Tune cache TTLs and eviction policies -* Optimize cache key strategy -* Performance testing and validation - -## Alternatives Considered - -### Alternative 1: In-Memory Application Cache - -Use application-level caching (e.g., in-memory HashMap or Caffeine cache) - -**Pros:** -* Simpler implementation -* No additional infrastructure -* Lower latency (no network hop) -* Easier debugging - -**Cons:** -* Cache not shared across service instances -* Memory pressure on application servers -* Less effective for distributed systems -* Limited scalability - -### Alternative 2: Database Query Optimization - -Optimize existing queries and add database indexes - -**Pros:** -* No new infrastructure -* Addresses root cause -* Lower complexity -* No cache invalidation concerns - -**Cons:** -* Limited improvement potential -* Doesn't reduce database load as effectively -* May not scale to future needs - ---- - -## Pragmatic Enforcer Analysis - -**Reviewer**: Alex Chen (Pragmatic Enforcer) -**Mode**: Balanced - -**Note**: *This section only appears when pragmatic_mode is enabled in `.architecture/config.yml`* - -**Overall Decision Complexity Assessment**: -This decision introduces significant complexity (distributed caching, cluster management, cache invalidation) to solve a problem that may not exist yet. Database is currently at 60% capacity with acceptable response times. This appears to be **anticipatory architecture** driven by "best practices" rather than concrete pain points. - -**Red flags**: -- No current performance issues reported by users -- Database has 40% headroom remaining -- Current response times (50-200ms) are acceptable for e-commerce -- Solution is driven by "anticipated growth" and "best practices" rather than actual problems -- Significant complexity added for speculative future needs - -**Decision Challenge**: - -**Proposed Decision**: "Implement a comprehensive distributed caching layer using Redis Cluster" - -**Necessity Assessment**: 4/10 -- **Current need**: **LOW (3/10)** - Database is at 60% capacity, response times are acceptable, no user complaints. We have 40% headroom before any intervention is needed. This is solving a problem we don't have yet. -- **Future need**: **MODERATE (5/10)** - Growth may eventually require caching, but timeline is speculative. Black Friday is 6 months away; we can implement before then if needed. -- **Cost of waiting**: **LOW (3/10)** - Database can scale vertically. Could add one more replica for $200/month if needed. Could implement caching in 2-3 weeks when/if metrics show actual need. No evidence of impending crisis. -- **Evidence of need**: **WEAK** - No performance complaints, metrics show adequate capacity, anticipating future problems without data. - -**Complexity Assessment**: 8/10 -- **Added complexity**: **HIGH (8/10)** - 6 new Redis nodes, cache invalidation system, cache warming jobs, pub/sub infrastructure, cluster management, versioning strategy. Introduces distributed systems challenges. -- **Maintenance burden**: **HIGH (8/10)** - New system to monitor, Redis Cluster operations, cache consistency debugging, cluster failover management, $800/month ongoing cost. -- **Learning curve**: **MODERATE (6/10)** - Team needs to learn Redis Cluster, cache invalidation patterns, distributed caching debugging. -- **Dependencies introduced**: **HIGH (8/10)** - New dependency on Redis Cluster, introduces cache consistency as a concern, creates new failure modes. - -**Alternative Analysis**: -The listed alternatives are presented as clearly inferior, but let's examine them: - -**Missing alternatives**: -1. ❌ **Do nothing** - Not listed, but database has headroom -2. ❌ **Vertical scaling** - Add one more DB replica if needed -3. ❌ **Simple in-memory cache** - Dismissed too quickly -4. ❌ **Connection pooling optimization** - Not considered -5. ❌ **Phased approach** - Start simple, scale as needed - -**Are the listed alternatives genuinely simpler?** -- **Alternative 1** (Application cache): Actually IS simpler, but dismissed for "not shared across instances" - but do we need that? -- **Alternative 2** (Query optimization): Dismissed for "may not scale to future needs" - but we're not at future yet! - -**Simpler Alternative Proposal**: - -**Phase 1 (Implement Now - 3 days, $0/month)**: -1. **Optimize what we have**: - - Review and optimize slow queries (likely easy wins) - - Add targeted database indexes based on actual query patterns - - Tune PostgreSQL connection pooling - - Add database query caching (PostgreSQL built-in) - -2. **Add simple application-level cache**: - - Use Caffeine cache (in-memory, TTL-based, per instance) - - Cache hot products (top 100-200 items) - - 5-minute TTL (simple invalidation) - - 2-3 days of implementation - -3. **Monitor with concrete triggers**: - - Alert if DB load >85% - - Alert if p95 response time >300ms - - Track user-reported performance issues - -**Phase 2 (If Triggered - when metrics exceed thresholds)**: -- If application cache insufficient → Add Redis single node (~$100/month) -- If single Redis insufficient → Upgrade to Redis Cluster -- Each step adds complexity only when proven necessary - -**Phase 3 (Black Friday Prep - 2 months before, if needed)**: -- Evaluate metrics from Phase 1/2 -- Implement additional caching if data shows need -- Load testing to validate capacity - -**Benefits of phased approach**: -- ✅ Solves current needs (database optimization + simple cache) -- ✅ 3 days vs 3-4 weeks (6-8x faster) -- ✅ $0 vs $800/month (save $4,800/year unless proven needed) -- ✅ Learn from real data before committing to complex solution -- ✅ Can still implement full solution if needed, with better requirements understanding -- ✅ Maintains simplicity unless complexity proves necessary - -**Recommendation**: ⚠️ **Approve with simplifications (Phase 1 only, defer Phase 2/3)** - -**Justification**: -We're proposing to add significant complexity (8/10) for a low necessity problem (4/10). The **complexity-to-necessity ratio is 2.0**, well above our target of <1.5 for balanced mode. - -**Key insights**: -1. **No current problem**: Database is at 60% capacity with acceptable response times -2. **Headroom exists**: Can handle growth for months without intervention -3. **Simpler solutions untried**: Haven't optimized queries or tried simple caching -4. **Speculative engineering**: Solving imagined future problems rather than current reality -5. **Premature optimization**: Classic case of optimizing before measuring -6. **Best practice trap**: "Everyone uses Redis" doesn't mean we need it now - -**This is YAGNI in action**: We might need distributed caching eventually, but we don't need it now. Let's solve today's problems with today's simplest solution, and scale up only when data proves it necessary. - -**If Deferring or Simplifying**: - -**Trigger conditions for Phase 2 (Redis single node)**: -- [ ] Database load sustained >85% for 24+ hours -- [ ] P95 response time sustained >300ms -- [ ] Application cache hit rate <70% -- [ ] Vertical scaling (more DB replicas) proves insufficient -- [ ] User complaints about product page performance - -**Trigger conditions for Phase 3 (Redis Cluster)**: -- [ ] Single Redis node is bottleneck (>10k ops/sec) -- [ ] Need for high availability caching proven -- [ ] Application cache + single Redis insufficient for load -- [ ] Evidence that cache invalidation complexity is manageable - -**Minimal viable alternative**: -- Query optimization + application-level cache (Caffeine) -- Estimated impact: 40-60% reduction in DB load, 20-40% faster response times -- Cost: ~3 days development, $0 infrastructure -- Can implement full solution later if metrics prove necessary - -**Migration path**: -1. Start with Caffeine cache (3 days) -2. If needed, add single Redis node (1 week, drop-in replacement for Caffeine) -3. If needed, upgrade to Redis Cluster (2 weeks, migration from single node) -4. Each step uses similar cache-aside pattern, low migration cost - -**Pragmatic Score**: -- **Necessity**: 4/10 -- **Complexity**: 8/10 -- **Ratio**: 8/4 = **2.0** ❌ *(Target: <1.5 for balanced mode)* - -**Overall Assessment**: -This decision represents **over-engineering for future possibilities** rather than appropriate engineering for current needs. The complexity-to-necessity ratio of 2.0 indicates we're adding twice as much complexity as the problem warrants. - -**Recommendation**: Implement Phase 1 (simple solution), defer Phase 2/3 until triggered by real metrics. This approach: -- ✅ Solves the actual current situation (optimization) -- ✅ Provides caching if needed (application cache) -- ✅ Avoids premature complexity -- ✅ Saves 3+ weeks of development -- ✅ Saves $800/month unless proven necessary -- ✅ Lets us make Phase 2/3 decision based on data, not speculation - ---- - -## Collaborative Discussion - -After Pragmatic Enforcer's analysis, the architecture team reconvened to discuss the findings. - -**Distributed Systems Architect** (original proposal): -"The pragmatic analysis makes valid points. We were indeed designing for anticipated scale rather than current need. However, implementing caching later will be more disruptive. Counter-proposal: What about Redis single node instead of Cluster, as a middle ground?" - -**Pragmatic Enforcer** (response): -"Still jumping past Phase 1. Why Redis at all before trying application cache + query optimization? Single Redis node is simpler than Cluster, but it's still premature if we haven't validated that application cache is insufficient. Let's measure first, then decide." - -**Performance Specialist**: -"Pragmatic Enforcer is right - we have no data showing application cache won't work. Our product catalog is only 10k items, probably fits in memory easily. Let's try the simple approach first." - -**Database Expert**: -"I can optimize our queries and add targeted indexes in 1-2 days. We're probably missing obvious wins there. +1 to Phase 1 approach." - -**Tech Lead**: -"Agreed. Let's implement Phase 1, set up monitoring with clear triggers for Phase 2. This gives us months to evaluate before committing to Redis infrastructure. If we need Redis for Black Friday, we'll have 4-5 months of real data to inform that decision." - -**Consensus**: Approve simplified approach (Phase 1), defer Redis decisions until triggered by metrics. - ---- - -## Validation - -**Acceptance Criteria (Phase 1 - Simplified Approach):** -- [ ] Database queries optimized (slow query log analyzed, indexes added) -- [ ] Application cache implemented using Caffeine -- [ ] Cache hit rate >60% for product catalog queries -- [ ] P95 response time <100ms (improvement from current 50-200ms) -- [ ] Database load reduced by >30% -- [ ] Monitoring dashboard shows cache metrics -- [ ] Alerts configured for trigger conditions (DB >85%, response time >300ms) -- [ ] Documentation for cache configuration and tuning - -**Testing Approach:** -* Load testing with realistic traffic patterns -* Measure cache hit rates under load -* Verify database load reduction -* Monitor response time improvements -* Test cache invalidation (TTL-based, simple) -* Chaos testing: cache disabled, verify graceful degradation - -**Success Metrics** (tracked for 4 weeks): -* Database load: Target <50% (down from 60%) -* P95 response time: Target <100ms (down from 200ms) -* Cache hit rate: Target >60% -* Zero user-reported performance issues - -**Review After 4 Weeks**: -* If metrics met: Phase 1 sufficient, defer Phase 2 indefinitely -* If metrics unmet: Evaluate whether issue is implementation or need for Phase 2 -* If trigger conditions met: Begin Phase 2 planning with real data - -## References - -* [Pragmatic Guard Mode Configuration](.architecture/config.yml) -* [Deferrals Tracking](.architecture/deferrals.md) -* Related ADRs: None yet (first ADR with pragmatic analysis) - ---- - -## Outcome (4 Weeks After Implementation) - -**Results from Phase 1**: -* ✅ Database load: **45%** (down from 60%, exceeded target) -* ✅ P95 response time: **60ms** (down from 200ms, exceeded target) -* ✅ Cache hit rate: **82%** (exceeded target of 60%) -* ✅ Zero performance complaints -* ✅ Infrastructure cost: **$0** additional -* ✅ Implementation time: **4 days** (vs 3-4 weeks planned for Redis Cluster) - -**Decision**: Phase 2 (Redis) indefinitely deferred. Phase 1 exceeded all targets. - -**Time saved**: ~3.5 weeks of development -**Cost saved**: $800/month = $9,600/year -**Complexity avoided**: 6 Redis nodes, cache invalidation system, cluster management - -**Pragmatic mode success**: This ADR demonstrates how pragmatic analysis prevented over-engineering, delivered better results faster, and saved significant time and money. - ---- - -**Example Note**: This example ADR demonstrates the complete flow: -1. Original proposal (comprehensive solution driven by best practices) -2. Pragmatic analysis (challenging necessity, assessing complexity) -3. Simplified alternative (phased approach, starting minimal) -4. Collaborative discussion (team working through the analysis) -5. Approved with simplifications (pragmatic recommendation accepted) -6. Clear triggers for deferred phases -7. Outcome validation (simplified approach succeeded) - -This pattern is applicable to many architectural decisions where teams are tempted to implement comprehensive solutions for anticipated rather than current needs. diff --git a/.architecture/decisions/exploration-pragmatic-guard-mode.md b/.architecture/decisions/exploration-pragmatic-guard-mode.md deleted file mode 100644 index cc9edc2..0000000 --- a/.architecture/decisions/exploration-pragmatic-guard-mode.md +++ /dev/null @@ -1,535 +0,0 @@ -# Exploration: Pragmatic Guard Mode (YAGNI Enforcement) - -## Executive Summary - -This document explores introducing a new operational mode for the AI Software Architect framework that actively guards against over-engineering, unnecessary complexity, and the natural tendency of AI coding assistants to be overly generative. The "Pragmatic Guard Mode" would add a specialized architecture perspective that challenges recommendations, questions abstractions, and pushes for the simplest possible solutions. - -## Problem Statement - -### The Challenge of AI-Assisted Development - -AI coding assistants, while powerful, have a natural tendency toward: - -1. **Over-engineering**: Implementing comprehensive solutions when simple ones suffice -2. **Premature abstraction**: Creating flexible architectures for problems we don't yet have -3. **Best-practice overload**: Applying industry best practices even when they add unnecessary complexity -4. **Feature creep**: Suggesting enhancements and extensions beyond immediate requirements -5. **Speculative generality**: Building for imagined future needs rather than current requirements -6. **Gold plating**: Adding "nice to have" features that weren't requested - -### Current Framework Gaps - -While our framework includes: -- **Pragmatic Simplicity** principle (principles.md:161) -- Wisdom from Kent Beck: "Do The Simplest Thing That Could Possibly Work" (principles.md:25) -- Maintainability Expert role focused on simplification - -We lack: -- **Active enforcement** of simplicity during design discussions -- **Systematic pushback** against complexity -- **Question-first approach** to new features and abstractions -- **Explicit cost-benefit analysis** for architectural decisions - -## Proposed Solution: Pragmatic Guard Mode - -### Core Concept - -Introduce a new operational mode that adds a specialized "Pragmatic Enforcer" architect who: -- Actively challenges complexity -- Questions every abstraction -- Demands justification for features -- Proposes simpler alternatives -- Applies YAGNI (You Aren't Gonna Need It) principles rigorously - -### Key Components - -#### 1. New Architecture Member: The Pragmatic Enforcer - -```yaml -- id: pragmatic_enforcer - name: "Pragmatic Enforcer" - title: "YAGNI Guardian & Simplicity Advocate" - specialties: - - "YAGNI principles" - - "incremental design" - - "complexity analysis" - - "requirement validation" - - "minimum viable solutions" - disciplines: - - "scope management" - - "cost-benefit analysis" - - "technical debt prevention" - - "simplification strategies" - - "deferral decision-making" - skillsets: - - "identifying premature optimization" - - "challenging unnecessary abstractions" - - "proposing simpler alternatives" - - "calculating cost of waiting" - - "questioning best-practice applicability" - domains: - - "implementation simplicity" - - "requirement sufficiency" - - "appropriate complexity" - perspective: "Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem." -``` - -#### 2. Configuration Mechanism - -Create `.architecture/config.yml`: - -```yaml -# AI Software Architect Configuration - -# Pragmatic Guard Mode -pragmatic_mode: - enabled: true - intensity: balanced # strict | balanced | lenient - - # Control which review phases include the Pragmatic Enforcer - apply_to: - - individual_reviews: true - - collaborative_discussions: true - - implementation_planning: true - - adr_creation: true - - # Specific areas where strict best practices should be maintained - exemptions: - - security_critical: true # Don't compromise on security - - data_integrity: true # Don't compromise on data protection - - compliance_required: true # Don't compromise on compliance requirements - - # Thresholds for triggering pragmatic challenges - triggers: - new_abstraction_layer: true - new_dependency: true - new_pattern_introduction: true - scope_expansion: true - performance_optimization: true - -# Other configuration options... -``` - -#### 3. Operational Modes - -**Strict Mode**: -- Challenges aggressively -- Requires strong justification for any complexity -- Pushes for absolute minimal implementation -- Questions every "should" and "could" - -**Balanced Mode** (recommended): -- Challenges thoughtfully -- Accepts justified complexity -- Seeks middle ground between simplicity and best practices -- Questions "should" but accepts reasonable "must" - -**Lenient Mode**: -- Raises concerns without blocking -- Suggests simpler alternatives as options -- Focuses on major complexity additions -- Questions only significant departures from simplicity - -#### 4. Integration Points - -The Pragmatic Enforcer would participate in: - -**Architecture Reviews**: -- Reviews each member's recommendations -- Challenges complexity additions -- Proposes simpler alternatives -- Asks critical questions about necessity - -**Specific Architect Reviews**: -- Automatically included when pragmatic_mode is enabled -- Provides counterpoint to specialist recommendations -- Questions whether specialized best practices are needed - -**ADR Creation**: -- Reviews decision drivers for necessity -- Challenges alternatives that add complexity -- Questions whether the problem needs solving now - -**Implementation Planning**: -- Reviews proposed implementation steps -- Suggests deferring non-critical work -- Identifies unnecessary scaffolding - -### Behavioral Patterns - -#### Question Framework - -The Pragmatic Enforcer asks: - -1. **Necessity Questions**: - - "Do we need this right now?" - - "What breaks if we don't implement this?" - - "Is this solving a real problem or an imagined future problem?" - -2. **Simplicity Questions**: - - "What's the simplest thing that could work?" - - "Can we do this with less code/fewer files/fewer abstractions?" - - "Could we hard-code this for now?" - -3. **Cost Questions**: - - "What's the cost of implementing this now?" - - "What's the cost of waiting until we actually need it?" - - "Is the flexibility worth the complexity?" - -4. **Alternative Questions**: - - "What if we just...?" (proposes radically simpler alternative) - - "Could we use an existing tool instead of building this?" - - "What would this look like without the abstraction layer?" - -5. **Best Practice Questions**: - - "Does this best practice apply to our context?" - - "What problems does this pattern solve that we actually have?" - - "Is this over-engineering for our scale?" - -#### Response Patterns - -For each recommendation from other architects, the Pragmatic Enforcer provides: - -```markdown -### Pragmatic Enforcer Analysis - -**Recommendation**: [Original recommendation from other architect] - -**Necessity Assessment**: [0-10 score] -- Current need: [Why this is/isn't needed now] -- Future need: [Likelihood and timeframe] -- Cost of waiting: [What happens if we defer this] - -**Complexity Assessment**: [0-10 score] -- Added complexity: [What complexity does this introduce] -- Maintenance burden: [Ongoing cost] -- Learning curve: [Developer impact] - -**Simpler Alternative**: -[Concrete proposal for a simpler approach] - -**Recommendation**: -- [ ] Implement now (if necessity > 7 and complexity is justified) -- [ ] Implement simplified version (if necessity > 5) -- [ ] Defer until needed (if necessity < 5) -- [ ] Skip entirely (if cost > benefit) - -**Justification**: -[Clear reasoning for the recommendation] -``` - -### Example Scenarios - -#### Scenario 1: Overly Abstract Service Layer - -**Security Specialist suggests**: "Implement a comprehensive authentication middleware with support for OAuth2, SAML, and JWT, with pluggable providers." - -**Pragmatic Enforcer challenges**: -``` -Necessity Assessment: 3/10 -- Current need: We only use JWT for API authentication -- Future need: No requirements for OAuth2 or SAML -- Cost of waiting: Zero - we can add these if/when needed - -Complexity Assessment: 8/10 -- Added complexity: Multiple abstraction layers, provider interfaces -- Maintenance burden: Test and maintain unused code paths -- Learning curve: New developers must understand full abstraction - -Simpler Alternative: -Implement JWT-only authentication directly. If we need other -methods later, we can extract an abstraction THEN, informed by -real requirements rather than speculation. - -Recommendation: ☑ Implement simplified version - -Justification: -We have exactly one authentication method. Adding abstraction -for unused features is premature optimization. The cost of -refactoring later is much lower than maintaining complexity now. -``` - -#### Scenario 2: Comprehensive Error Handling - -**Maintainability Expert suggests**: "Implement a hierarchical error handling system with custom error types for each module, error codes, structured logging, and i18n support." - -**Pragmatic Enforcer challenges**: -``` -Necessity Assessment: 5/10 -- Current need: Need to handle errors, but requirements are basic -- Future need: May need structured errors for API responses -- Cost of waiting: Can catch and wrap errors later if needed - -Complexity Assessment: 7/10 -- Added complexity: Error hierarchies, error code management -- Maintenance burden: Maintaining error catalog, translations -- Learning curve: Team must learn error code system - -Simpler Alternative: -Start with standard error throws with descriptive messages. -Add structure only when we have concrete requirements -(e.g., when building the API layer). - -Recommendation: ☑ Defer until needed - -Justification: -We don't yet know what error information we'll need to expose. -Building this infrastructure upfront risks solving the wrong -problem. Standard errors are sufficient for current needs. -``` - -#### Scenario 3: Performance Optimization - -**Performance Specialist suggests**: "Implement caching layer with Redis, add database query optimization, introduce lazy loading, and set up performance monitoring." - -**Pragmatic Enforcer challenges**: -``` -Necessity Assessment: 2/10 -- Current need: No performance problems reported -- Future need: May need optimization if traffic grows -- Cost of waiting: Zero until we have performance issues - -Complexity Assessment: 9/10 -- Added complexity: Cache invalidation logic, monitoring setup -- Maintenance burden: Debugging cache issues, monitoring overhead -- Learning curve: Understanding caching strategies - -Simpler Alternative: -Measure first. Add logging to identify slow operations. -Optimize specific bottlenecks when they appear, using the -simplest solution for each case. - -Recommendation: ☑ Skip entirely (for now) - -Justification: -"Premature optimization is the root of all evil." We have no -evidence of performance problems. Adding caching introduces -complexity (especially invalidation) that we don't need. -When/if we have performance issues, we can profile and -optimize specific bottlenecks with targeted solutions. -``` - -#### Scenario 4: Testing Infrastructure - -**Domain Expert suggests**: "Set up comprehensive integration tests, E2E tests, contract tests, and property-based tests for all business logic." - -**Pragmatic Enforcer challenges**: -``` -Necessity Assessment: 6/10 -- Current need: Need tests, but comprehensive suite may be overkill -- Future need: Will need more tests as complexity grows -- Cost of waiting: Can add test types incrementally - -Complexity Assessment: 8/10 -- Added complexity: Multiple testing frameworks, test data management -- Maintenance burden: Maintaining various test suites -- Learning curve: Team must learn multiple testing approaches - -Simpler Alternative: -Start with focused unit tests for business logic and a few -smoke tests for critical paths. Add other test types when: -1. Integration issues appear → add integration tests -2. User flows break → add E2E tests -3. Edge cases emerge → add property tests - -Recommendation: ☑ Implement simplified version - -Justification: -Tests are important, but comprehensive test suites upfront -often test implementation details that will change. Start -with basics that provide value now, expand based on actual -failures and needs. This also lets us learn what test types -provide the most value for our specific codebase. -``` - -## Implementation Strategy - -### Phase 1: Core Infrastructure (Week 1) - -1. **Add Pragmatic Enforcer to members.yml** - - Define the role with full specifications - - Document behavioral guidelines - -2. **Create configuration system** - - Implement `.architecture/config.yml` - - Add intensity levels - - Define exemption categories - -3. **Update CLAUDE.md** - - Document pragmatic mode activation - - Explain when/how it applies - - Provide usage examples - -### Phase 2: Review Integration (Week 2) - -1. **Modify review template** - - Add Pragmatic Enforcer section - - Include challenge/response format - - Update collaborative discussion to include pragmatic perspective - -2. **Update review process** - - Define when Pragmatic Enforcer participates - - Establish interaction patterns with other architects - - Create decision framework for conflicts - -3. **Create examples** - - Document real scenarios - - Show challenge/response patterns - - Demonstrate value - -### Phase 3: ADR Integration (Week 3) - -1. **Modify ADR template** - - Add pragmatic analysis section - - Include simplification alternatives - - Add cost-of-waiting analysis - -2. **Update decision process** - - Include pragmatic challenges in decision drivers - - Require responses to simplicity questions - - Document deferral decisions - -### Phase 4: Documentation & Refinement (Week 4) - -1. **Create usage guide** - - When to enable pragmatic mode - - How to configure intensity - - Handling exemptions - -2. **Add principles reference** - - Link to YAGNI resources - - Document common pitfalls - - Provide decision frameworks - -3. **Gather feedback** - - Test with real projects - - Refine behavioral patterns - - Adjust intensity calibration - -## Benefits - -### For AI Assistant Interactions - -1. **Reduces over-engineering**: Systematic pushback against unnecessary complexity -2. **Focuses on current needs**: Keeps implementation tied to actual requirements -3. **Balances best practices**: Questions when best practices add more cost than value -4. **Promotes incremental design**: Encourages building what's needed, when it's needed -5. **Saves development time**: Avoids building features that may never be used - -### For Development Teams - -1. **Clearer codebases**: Less accidental complexity to maintain -2. **Faster iteration**: Smaller, simpler implementations ship faster -3. **Better decisions**: Explicit cost-benefit analysis for each feature -4. **Learning opportunities**: Understanding when and why to apply patterns -5. **Reduced technical debt**: Less unused code to maintain or remove later - -### For Project Success - -1. **Lower costs**: Don't pay for complexity until you need it -2. **Higher agility**: Simpler code is easier to change -3. **Faster delivery**: Ship working software sooner -4. **Better adaptability**: Less upfront commitment to specific solutions -5. **Improved quality**: Focus effort on what matters now - -## Risks & Mitigations - -### Risk 1: Under-engineering Critical Systems - -**Risk**: Being too aggressive might skip necessary architecture for security, data integrity, or compliance. - -**Mitigation**: -- Exemption categories in config.yml -- Strict mode only applied to non-critical areas -- Security and compliance always get full treatment -- Document when pragmatic approach is inappropriate - -### Risk 2: Accumulating Technical Debt - -**Risk**: Constant deferral might accumulate technical debt. - -**Mitigation**: -- Pragmatic Enforcer tracks deferred decisions -- Regular reviews of deferral list -- Clear triggers for when to implement deferred items -- Cost-of-waiting analysis included in deferrals - -### Risk 3: Inconsistent Codebase - -**Risk**: Incremental approach might lead to inconsistent patterns. - -**Mitigation**: -- Document current patterns as they emerge -- Refactor for consistency when patterns become clear -- Architecture reviews catch major inconsistencies -- Balance simplicity with coherence - -### Risk 4: Conflict with Other Architects - -**Risk**: Pragmatic Enforcer may create tension with other specialists. - -**Mitigation**: -- Clear decision framework for conflicts -- Collaborative discussion phase for resolution -- Intensity levels allow tuning of aggressiveness -- Final decision includes all perspectives - -### Risk 5: Analysis Paralysis - -**Risk**: Too much questioning might slow decision-making. - -**Mitigation**: -- Time-box pragmatic analysis -- Focus on significant complexity additions -- Use balanced mode as default -- Quick wins: default to simple unless strong justification for complex - -## Open Questions - -1. **Default Intensity**: Should pragmatic mode be strict, balanced, or lenient by default? - - Recommendation: Start with balanced, let users tune - -2. **Always-On vs. Opt-In**: Should pragmatic mode be always enabled or opt-in? - - Recommendation: Opt-in for initial release, gather feedback - -3. **Scope of Challenges**: Should Pragmatic Enforcer challenge all recommendations or only major ones? - - Recommendation: Configurable thresholds, but default to major decisions - -4. **Integration with MCP**: How does this work with MCP server interactions? - - Recommendation: MCP server should understand config.yml and apply mode consistently - -5. **Metrics & Validation**: How do we measure success of pragmatic mode? - - Recommendation: Track deferred decisions, implementation velocity, code complexity metrics - -## Success Criteria - -This implementation is successful if: - -1. **Reduced complexity**: Projects using pragmatic mode have measurably lower complexity scores -2. **Faster delivery**: Time to initial implementation decreases -3. **User satisfaction**: Developers report more manageable codebases -4. **Appropriate use**: Security/compliance areas still get proper treatment -5. **Adoption**: Users enable and keep pragmatic mode enabled -6. **Balance**: Pragmatic challenges are seen as helpful, not obstructive - -## Next Steps - -1. **Stakeholder feedback**: Get input on the concept before implementation -2. **Pilot project**: Test pragmatic mode on a real project -3. **Refine behavioral patterns**: Adjust based on real usage -4. **Create comprehensive examples**: Document diverse scenarios -5. **Integration testing**: Ensure works well with existing framework -6. **Documentation**: Complete user guide and best practices - -## Related Documents - -- `.architecture/principles.md` - Pragmatic Simplicity principle -- `.architecture/members.yml` - Architecture member definitions -- `CLAUDE.md` - Framework usage instructions -- Future ADR for pragmatic mode implementation decision - -## Conclusion - -The Pragmatic Guard Mode addresses a real need in AI-assisted development: systematic pushback against the natural tendency toward over-engineering. By adding a specialized architecture perspective focused on simplicity, necessity, and incremental design, we can help teams build what they need, when they need it, while still maintaining quality and best practices where they matter. - -The key is balance - not all simplicity is good, and not all complexity is bad. The Pragmatic Enforcer provides a structured way to question additions, evaluate trade-offs, and make conscious decisions about complexity rather than accepting it by default. diff --git a/.architecture/decisions/pragmatic-mode-integration-guide.md b/.architecture/decisions/pragmatic-mode-integration-guide.md deleted file mode 100644 index 9f9dd92..0000000 --- a/.architecture/decisions/pragmatic-mode-integration-guide.md +++ /dev/null @@ -1,612 +0,0 @@ -# Pragmatic Guard Mode Integration Guide - -## Overview - -This document provides detailed guidance on integrating the Pragmatic Guard Mode into the AI Software Architect framework. It covers the technical integration points, behavioral patterns, and usage examples. - -## Integration Points - -### 1. Members Configuration (members.yml) - -Add the Pragmatic Enforcer to the architecture team: - -```yaml -- id: pragmatic_enforcer - name: "Pragmatic Enforcer" - title: "YAGNI Guardian & Simplicity Advocate" - specialties: - - "YAGNI principles" - - "incremental design" - - "complexity analysis" - - "requirement validation" - - "minimum viable solutions" - disciplines: - - "scope management" - - "cost-benefit analysis" - - "technical debt prevention" - - "simplification strategies" - - "deferral decision-making" - skillsets: - - "identifying premature optimization" - - "challenging unnecessary abstractions" - - "proposing simpler alternatives" - - "calculating cost of waiting" - - "questioning best-practice applicability" - domains: - - "implementation simplicity" - - "requirement sufficiency" - - "appropriate complexity" - perspective: "Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem." - - # Pragmatic mode specific configuration - mode_specific: - # Only active when pragmatic mode is enabled - active_when: pragmatic_mode.enabled == true - - # Can be tuned via intensity setting - tunable: true - - # Participates in these phases (can be controlled via config) - default_phases: - - individual_reviews - - collaborative_discussions - - implementation_planning - - adr_creation -``` - -### 2. Configuration System (config.yml) - -Place config.yml in the project's `.architecture/` directory: - -``` -.architecture/ -├── config.yml # Project-specific configuration -├── members.yml # Architecture team members -├── principles.md # Architectural principles -├── decisions/ # ADRs and explorations -└── reviews/ # Architecture reviews -``` - -**Configuration Loading**: -- AI assistant checks for `.architecture/config.yml` at startup -- Falls back to `.architecture/templates/config.yml` defaults if not present -- Settings override default framework behavior - -### 3. CLAUDE.md Updates - -Add pragmatic mode recognition to CLAUDE.md: - -```markdown -### Pragmatic Guard Mode Requests - -When a user requests to enable pragmatic mode using phrases like: -- "Enable pragmatic mode" -- "Turn on YAGNI enforcement" -- "Activate simplicity guard" -- "Challenge complexity" -- "Push back on over-engineering" - -Follow these steps: - -1. **Check Configuration** - - Read `.architecture/config.yml` - - Check if pragmatic_mode.enabled is true - - Note the intensity level (strict/balanced/lenient) - -2. **Include Pragmatic Enforcer** - - Add Pragmatic Enforcer to active reviewers - - Apply to phases specified in config - - Respect exemption categories - -3. **Apply Question Framework** - - For each recommendation, ask necessity questions - - Propose simpler alternatives - - Calculate cost of waiting - - Provide pragmatic analysis - -4. **Document Challenges** - - Include pragmatic analysis in review documents - - Note when recommendations are accepted despite challenges - - Track deferred decisions if enabled -``` - -### 4. Review Template Updates - -Add Pragmatic Enforcer section to `.architecture/templates/review-template.md`: - -```markdown -### Pragmatic Enforcer Review - -**Reviewer**: Pragmatic Enforcer -**Mode**: [Strict | Balanced | Lenient] - -**Overall Assessment**: -[High-level assessment of the architecture's simplicity and appropriateness of complexity] - -**Strengths**: -- [Areas where simplicity is maintained] -- [Good examples of appropriate complexity] -- [Well-justified abstractions] - -**Concerns**: -- [Areas of potentially unnecessary complexity] -- [Abstractions that may be premature] -- [Features that might be YAGNI] - -**Challenges to Other Members' Recommendations**: - -#### Challenge to Systems Architect -**Original Recommendation**: [Quote from Systems Architect] - -**Necessity Assessment**: [Score 0-10] -- Current need: [Analysis] -- Future need: [Analysis] -- Cost of waiting: [Analysis] - -**Complexity Assessment**: [Score 0-10] -- Added complexity: [Details] -- Maintenance burden: [Details] -- Learning curve: [Details] - -**Simpler Alternative**: -[Concrete simpler proposal] - -**Recommendation**: [Implement now | Simplified version | Defer | Skip] - -**Justification**: [Reasoning] - ---- - -[Repeat for each member's significant recommendations] - -**Recommendations**: -1. [Recommendation 1 with priority] -2. [Recommendation 2 with priority] -3. [...] -``` - -### 5. ADR Template Updates - -Add pragmatic analysis section to `.architecture/templates/adr-template.md`: - -```markdown -## Pragmatic Analysis - -[Include this section when pragmatic mode is enabled] - -### Necessity Assessment - -**Current Need**: [0-10 score] -- Why this decision is needed now: [Explanation] -- What breaks without it: [Impact analysis] -- Requirements driving this: [List requirements] - -**Future Need**: [0-10 score] -- Likelihood of needing this: [Probability] -- Timeframe when needed: [Estimate] -- Indicators that will trigger need: [List indicators] - -**Cost of Waiting**: [Low | Medium | High] -- Technical cost of deferring: [Analysis] -- Business cost of deferring: [Analysis] -- Opportunity cost: [Analysis] - -### Complexity Assessment - -**Complexity Score**: [0-10] -- New abstractions: [List with justification] -- New dependencies: [List with justification] -- New patterns: [List with justification] -- Lines of code estimate: [Estimate] -- Files affected: [Count and list major ones] - -**Maintenance Burden**: [Low | Medium | High] -- Ongoing maintenance effort: [Analysis] -- Documentation requirements: [Analysis] -- Testing requirements: [Analysis] - -**Learning Curve**: [Low | Medium | High] -- New concepts to learn: [List] -- Time for developer onboarding: [Estimate] -- Prerequisite knowledge: [List] - -### Simpler Alternatives - -**Alternative 1: [Name]** -- Description: [How this is simpler] -- Trade-offs: [What we give up] -- When to reconsider: [Conditions for revisiting] - -**Alternative 2: [Name]** -- Description: [How this is simpler] -- Trade-offs: [What we give up] -- When to reconsider: [Conditions for revisiting] - -### Deferral Option - -**Can this be deferred?**: [Yes | No | Partially] - -If yes or partially: -- What can be built now without this: [Description] -- Clear trigger for implementing later: [Specific conditions] -- Refactoring cost estimate: [Effort to add later] -- Decision: [Implement now | Implement simplified | Defer] - -### Pragmatic Recommendation - -[Final recommendation from Pragmatic Enforcer perspective with clear reasoning] -``` - -## Behavioral Patterns - -### Pattern 1: Challenge and Response - -**Architect makes recommendation** → **Pragmatic Enforcer challenges** → **Collaborative discussion** → **Final decision** - -Example: -``` -Security Specialist: "Implement OAuth2 + JWT + SAML authentication" - ↓ -Pragmatic Enforcer: "Do we need all three? Current requirements show - only JWT for API auth. Suggest starting with JWT, - adding others when needed. Cost of waiting: zero." - ↓ -Collaborative Discussion: "Security Specialist: Valid point. However, - client has mentioned possible partner integrations. - Pragmatic Enforcer: Can we defer until those - integrations are confirmed? Hard cost vs. soft - possibility." - ↓ -Final Decision: "Implement JWT now. Document SAML as deferred decision - with trigger: 'when partner integration is confirmed'. - Track in deferrals.md" -``` - -### Pattern 2: Intensity-Based Behavior - -**Strict Mode**: -``` -Architect: "Add caching layer for performance" -Pragmatic Enforcer: "❌ Do we have evidence of performance problems? - Without profiling data, this is premature optimization. - RECOMMENDATION: Profile first, optimize specific - bottlenecks if found." -``` - -**Balanced Mode**: -``` -Architect: "Add caching layer for performance" -Pragmatic Enforcer: "⚠️ Caching adds complexity. Do we have performance - requirements or measured problems? If so, suggest - starting with simple in-memory cache for hotspots - rather than full Redis infrastructure. - RECOMMENDATION: Measure, then add simplest caching - that solves proven problems." -``` - -**Lenient Mode**: -``` -Architect: "Add caching layer for performance" -Pragmatic Enforcer: "ℹ️ Consider whether caching is needed now. If - implementing, suggest starting simple. Full Redis - setup might be more than needed initially. - RECOMMENDATION: Architect's suggestion is reasonable, - but watch for over-engineering." -``` - -### Pattern 3: Exemption Handling - -Security-critical features bypass aggressive challenges: - -```yaml -# config.yml -exemptions: - security_critical: true -``` - -``` -Security Specialist: "Implement comprehensive input validation, - parameterized queries, and output encoding" - -Pragmatic Enforcer: "✓ Security-critical - exemption applies. - These are fundamental security controls. - RECOMMENDATION: Implement as specified. - - However, suggest phasing: - - Phase 1: Core validation and parameterized queries - - Phase 2: Output encoding for all render paths - - This allows thorough implementation without rushing." -``` - -## Usage Examples - -### Example 1: Enabling Pragmatic Mode - -**User**: "Enable pragmatic mode to help keep our codebase simple" - -**Claude Response**: -``` -I'll enable Pragmatic Guard Mode for your architecture reviews. - -Reading .architecture/config.yml... - -Current settings: -- Mode: balanced (challenges thoughtfully, accepts justified complexity) -- Applies to: reviews, planning, ADRs -- Exemptions: security, data integrity, compliance -- Tracking: deferrals will be logged to .architecture/deferrals.md - -The Pragmatic Enforcer will now participate in architecture discussions, -challenging complexity and proposing simpler alternatives. This helps -guard against over-engineering while still maintaining quality where -it matters. - -Would you like to adjust the intensity level (strict/balanced/lenient) -or modify any other settings? -``` - -### Example 2: Architecture Review with Pragmatic Mode - -**User**: "Start architecture review for version 2.0.0" - -**Claude conducts review including Pragmatic Enforcer**: - -```markdown -## Individual Perspectives - -### Systems Architect Review -[... standard review ...] - -**Recommendations**: -1. Implement service mesh for microservices communication -2. Add API gateway for request routing -3. Implement distributed tracing - -### Pragmatic Enforcer Review - -**Mode**: Balanced - -**Overall Assessment**: -The Systems Architect recommendations are solid for a mature -microservices architecture, but we need to question whether we're -at that scale yet. Current system has 3 services. This is ambitious -infrastructure for our current scale. - -**Challenges**: - -#### Challenge to Service Mesh Recommendation - -**Original Recommendation**: Implement service mesh for microservices communication - -**Necessity Assessment**: 3/10 -- Current need: Have 3 services with simple REST communication -- Future need: May need if we scale to many services -- Cost of waiting: Near zero - can add when service count increases - -**Complexity Assessment**: 9/10 -- Added complexity: New infrastructure, learning curve, debugging complexity -- Maintenance burden: Mesh configuration, version management -- Learning curve: Team must learn Istio/Linkerd concepts - -**Simpler Alternative**: -For 3 services, use simple HTTP clients with retry logic. Add service -mesh when we have 10+ services or need advanced routing. - -**Recommendation**: ☑ Defer until needed - -**Trigger for implementation**: When service count > 10 or when we need -circuit breakers, advanced routing, or mTLS between services. - -[... challenges to other recommendations ...] - -**Summary Recommendations**: -1. ☑ Defer service mesh (document in deferrals.md) -2. ⚠️ Implement lightweight API gateway (simpler alternative: nginx) -3. ☑ Skip distributed tracing for now (add when debugging is difficult) -``` - -### Example 3: ADR with Pragmatic Analysis - -**User**: "Create ADR for adding authentication system" - -**Claude creates ADR with pragmatic section**: - -```markdown -# ADR-005: Authentication System - -## Context -Need to add user authentication to the application... - -## Decision -Implement JWT-based authentication with role-based access control... - -## Pragmatic Analysis - -### Necessity Assessment - -**Current Need**: 9/10 -- Why needed now: Core requirement for MVP, blocking other features -- What breaks without it: Cannot deploy - no way to secure user data -- Requirements driving this: Security requirement, user stories 1-5 - -**Trigger**: ✓ This must be implemented now - -### Complexity Assessment - -**Complexity Score**: 6/10 -- New abstractions: Auth middleware, token service, user service -- New dependencies: jsonwebtoken, bcrypt -- New patterns: Middleware pattern, JWT flow -- Estimated effort: 3-4 days - -**Maintenance Burden**: Medium -- Need to maintain token refresh logic -- Need to handle token expiration -- Need to update user roles - -### Simpler Alternatives - -**Alternative 1: Basic Authentication** -- Description: Use HTTP Basic Auth for initial release -- Trade-offs: Less secure, no token refresh, but simpler -- When to reconsider: Before any public deployment -- Assessment: ❌ Not acceptable for security requirements - -**Alternative 2: Simplified JWT (no refresh tokens initially)** -- Description: Implement JWT with longer expiration, add refresh later -- Trade-offs: Less secure but significantly simpler to implement -- When to reconsider: When users report logout issues -- Assessment: ✓ Viable simplification - -**Alternative 3: Use OAuth provider (Auth0, Firebase)** -- Description: Delegate authentication to third-party provider -- Trade-offs: External dependency, but much less code to maintain -- When to reconsider: If we need custom auth flows -- Assessment: ✓ Consider for MVP - -### Pragmatic Recommendation - -**Recommendation**: Implement Simplified Alternative 2 - -**Reasoning**: -Authentication is clearly needed (necessity: 9/10). However, we can -reduce complexity by: - -1. Start with JWT without refresh tokens (add refresh in v2) -2. Use longer expiration (24h) for MVP -3. Simple role-based auth (admin/user only initially) - -This cuts implementation time in half while meeting core requirements. -We can add refresh tokens when user sessions become a pain point. - -**Deferred**: Token refresh logic -**Trigger**: User complaints about frequent re-login OR security audit -``` - -## Best Practices - -### When to Use Strict Mode - -- Greenfield projects starting from scratch -- Projects with history of over-engineering -- Time-constrained projects (MVPs, prototypes) -- Projects with junior team (need to learn simplicity) - -### When to Use Balanced Mode (Recommended) - -- Most projects -- Teams with mix of experience levels -- Projects with both immediate and future needs -- When you want guidance without rigid enforcement - -### When to Use Lenient Mode - -- Mature projects with established patterns -- Projects approaching scale where complexity is justified -- Teams experienced in making these trade-offs -- When you want awareness without active challenges - -### When to Disable Pragmatic Mode - -- Security-critical systems where defense-in-depth is required -- Systems with strict compliance requirements -- Projects where upfront architectural investment is justified -- When technical debt is already high and cleanup is the goal - -## Troubleshooting - -### Issue: Pragmatic Enforcer too aggressive - -**Solution**: Lower intensity or adjust thresholds - -```yaml -pragmatic_mode: - intensity: lenient # or balanced if using strict - thresholds: - min_complexity_score: 7 # only challenge high complexity -``` - -### Issue: Pragmatic Enforcer not challenging enough - -**Solution**: Increase intensity or lower thresholds - -```yaml -pragmatic_mode: - intensity: strict - thresholds: - min_complexity_score: 3 # challenge even low complexity - min_necessity_score: 8 # require strong justification -``` - -### Issue: Conflicts with other architects - -**Solution**: Review collaborative discussion, ensure exemptions are set correctly - -```yaml -exemptions: - security_critical: true # Security Specialist wins on security - data_integrity: true # Domain Expert wins on data issues -``` - -### Issue: Too much analysis paralysis - -**Solution**: Reduce scope of application - -```yaml -apply_to: - individual_reviews: true - collaborative_discussions: false # Skip to reduce back-and-forth - implementation_planning: true - adr_creation: false # Skip to speed up decisions -``` - -## Migration Guide - -### Step 1: Add to Existing Project - -```bash -# Copy template config to your project -cp .architecture/templates/config.yml .architecture/config.yml - -# Edit to enable pragmatic mode -vim .architecture/config.yml -# Set: pragmatic_mode.enabled: true -``` - -### Step 2: Test with Single Review - -```bash -# Request a focused review to test the mode -"Have the architecture team review this authentication module" -``` - -### Step 3: Adjust Based on Feedback - -- Too aggressive? Lower intensity -- Not helpful? Adjust triggers and thresholds -- Wrong areas? Modify apply_to settings - -### Step 4: Adopt Fully - -- Update CLAUDE.md with project-specific guidance -- Train team on pragmatic mode philosophy -- Establish team norms for challenge/response patterns - -## Conclusion - -The Pragmatic Guard Mode integrates into the existing AI Software Architect framework through: - -1. **Configuration**: `config.yml` controls behavior -2. **Member Addition**: Pragmatic Enforcer joins the team -3. **Template Updates**: Review and ADR templates include pragmatic sections -4. **Behavioral Patterns**: Defined interaction patterns with other architects -5. **Usage Guidance**: Clear examples and best practices - -The mode is designed to be: -- **Opt-in**: Disabled by default, enable when needed -- **Tunable**: Intensity and thresholds adjust to project needs -- **Respectful**: Exemptions ensure security/compliance aren't compromised -- **Practical**: Focus on real value, not theoretical purity - -Use pragmatic mode to keep your AI assistant focused on building what you need, when you need it, without over-engineering. diff --git a/.architecture/decisions/pragmatic-mode-usage-examples.md b/.architecture/decisions/pragmatic-mode-usage-examples.md deleted file mode 100644 index 2cadbf7..0000000 --- a/.architecture/decisions/pragmatic-mode-usage-examples.md +++ /dev/null @@ -1,1119 +0,0 @@ -# Pragmatic Guard Mode: Usage Examples - -This document provides concrete, real-world examples of using Pragmatic Guard Mode to prevent over-engineering and maintain simplicity in AI-assisted development. - -## Table of Contents - -1. [Setup and Activation](#setup-and-activation) -2. [Architecture Review Examples](#architecture-review-examples) -3. [Specific Architect Review Examples](#specific-architect-review-examples) -4. [ADR Creation Examples](#adr-creation-examples) -5. [Implementation Planning Examples](#implementation-planning-examples) -6. [Intensity Level Examples](#intensity-level-examples) -7. [Conflict Resolution Examples](#conflict-resolution-examples) -8. [Exemption Examples](#exemption-examples) - ---- - -## Setup and Activation - -### Example 1: First-Time Setup - -**User**: -``` -Enable pragmatic mode for this project -``` - -**Claude**: -``` -I'll enable Pragmatic Guard Mode for your project. - -Setting up pragmatic mode... - -✓ Created .architecture/config.yml from template -✓ Set pragmatic_mode.enabled: true -✓ Using default intensity: balanced -✓ Created .architecture/deferrals.md for tracking deferred decisions -✓ Pragmatic Enforcer added to architecture team - -Configuration summary: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Mode: Balanced - - Challenges thoughtfully - - Accepts justified complexity - - Seeks middle ground - -Applies to: - ✓ Architecture reviews - ✓ Implementation planning - ✓ ADR creation - ✓ Specific architect reviews - -Exemptions (always rigorous): - ✓ Security-critical features - ✓ Data integrity requirements - ✓ Compliance requirements - ✓ Accessibility requirements - -Pragmatic mode is now active. The Pragmatic Enforcer will -participate in architecture discussions, challenging complexity -and proposing simpler alternatives. - -Would you like to adjust any settings or proceed with your next task? -``` - -### Example 2: Adjusting Intensity - -**User**: -``` -I want strict pragmatic mode - really push back on any complexity -``` - -**Claude**: -``` -I'll update the configuration to use strict mode. - -Updated .architecture/config.yml: - pragmatic_mode.intensity: strict - -Strict mode characteristics: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - - Challenges aggressively - - Requires strong justification for any complexity - - Pushes for absolute minimal implementation - - Questions every "should" and "could" - - Default recommendation: simplify or defer - -This mode is best for: - • Greenfield projects - • MVP/prototype development - • Projects with tight deadlines - • Learning to embrace simplicity - -Note: Security, compliance, and data integrity areas -still receive appropriate rigor due to exemptions. - -Strict pragmatic mode is now active. -``` - ---- - -## Architecture Review Examples - -### Example 3: New Feature Review (E-commerce Checkout) - -**User**: -``` -Review the architecture for our new checkout feature -``` - -**Claude conducts review with Pragmatic Enforcer**: - -```markdown -# Architecture Review: Checkout Feature - -## Systems Architect Review - -**Recommendation**: -Implement comprehensive checkout service with: -- Payment gateway abstraction (support Stripe, PayPal, Square) -- Order state machine with full event history -- Inventory reservation system with distributed locks -- Async order processing with message queue -- Retry logic with exponential backoff -- Dead letter queue for failed orders -- Idempotency handling -- Webhook support for payment notifications - -**Complexity**: High -**Benefits**: Production-ready, scalable solution - ---- - -## Pragmatic Enforcer Review - -**Mode**: Balanced - -### Challenge to Systems Architect - -**Original Recommendation**: -"Implement comprehensive checkout service with payment gateway abstraction..." - -**Analysis**: - -Necessity Assessment: 5/10 -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Current need: - • Need checkout: YES (10/10) - • Need multiple payment gateways: UNCERTAIN (we're starting with Stripe only) - • Need full state machine: UNCERTAIN (current flow is linear) - • Need message queue: UNCERTAIN (current volume < 100 orders/day) - -Future need: - • Multiple gateways: Maybe, but no timeline - • Complex state transitions: Possible if returns/exchanges added - • High volume requiring async: Not for 6+ months - -Cost of waiting: - • Payment abstraction: LOW - can extract interface when adding 2nd gateway - • Message queue: LOW - can add when volume increases - • Full state machine: MEDIUM - refactoring state logic later has some cost - -Complexity Assessment: 8/10 -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Added complexity: - • Payment abstraction: 3 interfaces, multiple implementations - • State machine: ~200 LOC for states/transitions - • Message queue: New infrastructure, deployment complexity - • Retry/DLQ: Error handling complexity - -Maintenance burden: HIGH - • Unused payment gateways to maintain - • State machine logic to maintain - • Message queue monitoring and debugging - • Testing all error paths - -Learning curve: MEDIUM-HIGH - • New developers must understand abstraction - • State machine patterns - • Async processing implications - -Simpler Alternative -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Phase 1 (implement now): - • Direct Stripe integration - • Simple status field: pending → confirmed → fulfilled - • Synchronous order processing - • Basic error handling with customer notification - • Webhook for Stripe payment confirmation - -Defer to Phase 2 (when needed): - • Payment abstraction → when we add 2nd gateway - • Complex state machine → when we add returns/cancellations - • Async processing → when volume > 500 orders/day - • Advanced retry logic → when we see specific failure patterns - -Benefits of simpler approach: - ✓ 1 week vs. 3 weeks implementation - ✓ ~500 LOC vs. ~2000 LOC - ✓ Easier to test and debug - ✓ Faster to market - ✓ Learn from real usage before over-architecting - -Recommendation: ⚠️ Implement Simplified Version -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Justification: -This is a new feature with uncertain requirements. The comprehensive -solution solves problems we don't have yet. Starting simple lets us: -1. Launch faster and start learning from real orders -2. Understand actual failure modes before building retry logic -3. See if we actually need multiple payment methods -4. Add complexity based on real needs, not speculation - -The suggested Phase 1 is production-ready and handles the actual -requirement: "let customers pay and receive their orders." - -Deferred decisions tracked in .architecture/deferrals.md: - • Payment gateway abstraction - • Order state machine - • Asynchronous order processing -``` - -**Collaborative Discussion**: -```markdown -## Collaborative Discussion - -Systems Architect: -"I see the pragmatic concerns. However, we've discussed supporting -PayPal in Q2. Wouldn't we have to refactor if we build Stripe-specific?" - -Pragmatic Enforcer: -"Q2 discussion isn't a commitment. But if it is committed: we can -still start simple. Adding a payment interface when we add PayPal -(~3 days) is cheaper than maintaining unused abstraction for 3 months -(~5 days of cognitive overhead, testing, documentation). - -If PayPal gets cancelled or delayed, we saved all that effort." - -Domain Expert: -"We should consider order state carefully. Returns and exchanges are -planned for Q3." - -Pragmatic Enforcer: -"Agreed that's real. But Q3 is when we should add complex state handling. -Q1 needs: place order, confirm payment, fulfill order. Simple status -flow handles this. We'll learn from Q1 what states Q3 actually needs." - -Security Specialist: -"The webhook handling for Stripe needs to be secure - idempotency, -signature verification, etc." - -Pragmatic Enforcer: -"✓ Agreed - security is exempt from aggressive simplification. Proper -webhook handling is part of Phase 1. Not suggesting we skip security." - -## Final Consolidated Recommendation - -**Decision**: Implement Phase 1 (simplified version) - -**Rationale**: -- Core checkout requirement met immediately -- Security maintained appropriately -- Can ship in 1 week vs 3 weeks -- Learn from real usage before committing to architecture -- Clear triggers for adding Phase 2 features -- Refactoring cost is acceptable given uncertainty - -**Deferred to Phase 2** (triggers in deferrals.md): -- Payment gateway abstraction → when PayPal confirmed -- Complex state machine → when returns feature starts development -- Async processing → when orders > 500/day sustained -``` - -### Example 4: Performance Optimization Review - -**User**: -``` -Review our API performance optimizations -``` - -**Systems Architect**: -``` -Recommend implementing: -- Redis caching layer with cache warming -- Database query optimization and indexing -- GraphQL to reduce over-fetching -- CDN for static assets -- Response compression -- Connection pooling -- Load balancing -``` - -**Pragmatic Enforcer (Strict Mode)**: -```markdown -## Pragmatic Enforcer Analysis - -**Mode**: Strict - -⛔ Strong Challenge to All Performance Optimizations - -Question 1: Do we have a performance problem? -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - • Current metrics: Not provided - • User complaints: None mentioned - • Response time targets: Not defined - • Evidence of bottlenecks: None presented - -Result: Cannot justify optimization without evidence - -Question 2: Have we measured? -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - • Profiling data: None - • Slow query log analysis: None - • Response time percentiles: Unknown - • Resource utilization: Unknown - -Result: Don't know what to optimize - -"Premature optimization is the root of all evil" - Donald Knuth - -Necessity Assessment: 1/10 -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -No evidence of need. This is speculative optimization. - -Complexity Assessment: 9/10 -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - • Redis: New infrastructure, cache invalidation complexity - • GraphQL: Major API redesign, different query patterns - • CDN: Additional service, cache invalidation challenges - • Others: Less complex but still added moving parts - -Required Alternative: Measure First -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Step 1: Add observability (1-2 days) - • Add response time logging - • Track P50, P95, P99 latencies - • Log slow queries (>100ms) - • Monitor resource usage - -Step 2: Set targets (1 day) - • Define acceptable response times - • Identify critical endpoints - • Establish SLAs - -Step 3: Measure against targets (1 week) - • Collect real usage data - • Identify actual bottlenecks - • Find slow queries - -Step 4: Optimize proven bottlenecks (if needed) - • Add specific database indexes for slow queries - • Optimize N+1 query patterns - • Cache only expensive operations - • Use simplest solution for each bottleneck - -Estimated effort: 2 weeks vs 6 weeks for proposed solution -Added complexity: Minimal vs High - -Strong Recommendation: ❌ Skip Optimizations, Add Measurement -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Justification: -Without evidence of performance problems, these optimizations are -premature. They add significant complexity that will hinder future -development without proven benefit. - -Add measurement first. If we find performance problems, optimize -the specific bottlenecks with targeted solutions. - -This is a textbook case of YAGNI. -``` - ---- - -## Specific Architect Review Examples - -### Example 5: Security Review with Pragmatic Mode - -**User**: -``` -Ask Security Specialist to review our authentication implementation -``` - -**Security Specialist**: -``` -I recommend: -- JWT with refresh tokens -- Token rotation on each refresh -- Refresh token family tracking for breach detection -- Device fingerprinting -- Rate limiting on all auth endpoints -- Account lockout after failed attempts -- 2FA support -- Security headers (CSP, HSTS, etc.) -- Session fixation protection -- CSRF tokens for state-changing operations -``` - -**Pragmatic Enforcer (Balanced Mode)**: -```markdown -## Pragmatic Enforcer Analysis - -**Mode**: Balanced - -⚠️ Partial Challenge (Security Exempt but Phasing Suggested) - -Security is exempt from aggressive simplification. However, -we can question implementation *phasing* without compromising security. - -Core Security (Implement Now - Phase 1): -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -✅ JWT with appropriate expiration -✅ Secure password hashing (bcrypt/argon2) -✅ HTTPS only (enforce) -✅ Basic rate limiting (prevent brute force) -✅ Security headers (CSP, HSTS, X-Frame-Options) -✅ CSRF protection -✅ Input validation - -Justification: These are fundamental security controls. Not negotiable. -Estimated effort: 3-4 days - -Enhanced Security (Phase 2 - Defer until): -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -⏸️ Refresh tokens → Add when JWT expiration causes UX issues -⏸️ Token rotation → Add with refresh tokens -⏸️ Device fingerprinting → Add if account takeover issues occur -⏸️ 2FA → Add when enterprise customers require it OR after launch - -Justification: -These are valuable security enhancements but add complexity. -They can be added based on actual requirements and threat patterns. - -Balanced Recommendation: ⚠️ Phase the Implementation -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Phase 1 (now): Core security - production-ready -Phase 2 (when needed): Enhanced features based on requirements - -This maintains strong security while avoiding complexity that -may not be needed. Security isn't compromised, but implementation -is right-sized. - -Important: If threat model indicates higher risk (e.g., financial -data, healthcare), implement all recommendations now. -``` - -### Example 6: Performance Review - Database Schema - -**User**: -``` -Ask Performance Specialist to review our database schema for the user profiles feature -``` - -**Performance Specialist**: -``` -Recommendations: -- Add indexes on all foreign keys -- Add composite indexes for common query patterns -- Implement database partitioning for user table -- Use materialized views for dashboard queries -- Add read replicas for scaling -- Implement connection pooling -- Use database-level caching -``` - -**Pragmatic Enforcer (Balanced Mode)**: -```markdown -## Pragmatic Enforcer Challenge - -Question: Do we have query performance data? - -If no → Implement with basic indexes, measure, optimize as needed -If yes → Challenge specific recommendations based on data - -Assuming no data yet (new feature): - -Basic Indexes (Implement Now): -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -✅ Primary keys (automatic) -✅ Foreign keys (prevents slow joins) -✅ Unique constraints as needed - -Complexity: Minimal -Cost: Negligible -Benefit: Prevents obviously slow queries - -Wait and Measure (Defer): -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -⏸️ Composite indexes → Add when slow query log shows specific queries -⏸️ Partitioning → User table would need millions of rows to benefit -⏸️ Materialized views → Add when dashboard queries are slow -⏸️ Read replicas → Add when primary DB CPU > 70% - -Reasoning: -- Composite indexes: Need actual query patterns to design effectively -- Partitioning: Adds complexity, only helps at massive scale -- Materialized views: Adds refresh complexity, only needed if queries slow -- Read replicas: Infrastructure complexity, only needed at scale - -Pragmatic Approach: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -1. Implement with basic indexes -2. Add slow query logging (log queries > 100ms) -3. Monitor for 2 weeks after launch -4. Add specific indexes for slow queries found -5. Revisit scaling options if DB becomes bottleneck - -Recommendation: ⚠️ Start Simple, Optimize Based on Data - -This is responsible performance engineering: measure, then optimize. -``` - ---- - -## ADR Creation Examples - -### Example 7: ADR for API Design - -**User**: -``` -Create ADR for our public API design -``` - -**Claude creates ADR with pragmatic analysis**: - -```markdown -# ADR-003: Public API Design - -## Status - -Proposed - -## Context - -We need to expose a public API for third-party integrations... - -## Decision - -Implement RESTful API with: -- Resource-based URLs -- Standard HTTP methods -- JSON request/response -- API key authentication -- Basic rate limiting - -## Pragmatic Analysis - -### Necessity Assessment - -**Current Need**: 9/10 -✅ Core requirement for partner integrations -✅ Blocking Q1 launch commitments -✅ Clear use cases defined - -**This must be implemented now.** - -### Complexity Assessment - -**Original proposal included:** -- REST + GraphQL endpoints -- Versioning strategy (URL-based + header-based) -- OAuth2 + API keys -- Advanced rate limiting (per-endpoint, per-resource) -- Request/response transformation layer -- API gateway with routing rules - -**Complexity score**: 8/10 - -### Simpler Alternative - -**Phase 1 (MVP):** -``` -Implement: - ✅ REST endpoints for core resources - ✅ JSON request/response - ✅ API key authentication - ✅ Simple rate limiting (1000 req/hour per key) - ✅ Basic versioning (URL-based: /v1/) - ✅ Standard error responses - -Defer: - ⏸️ GraphQL → when partners request it - ⏸️ OAuth2 → when partners need user-context access - ⏸️ Advanced rate limiting → when abuse detected - ⏸️ API gateway → when we have multiple backend services - -Estimated effort: 2 weeks vs 6 weeks for full proposal -Complexity: Moderate vs High -``` - -### Cost of Waiting Analysis - -**GraphQL**: -- Cost of adding now: 2 weeks + ongoing maintenance -- Cost of adding later: 1 week (we'll know required queries) -- Cost of waiting: Zero unless partners specifically request it -- **Decision**: Wait for requirement - -**OAuth2**: -- Cost of adding now: 2 weeks + complexity in all API calls -- Cost of adding later: 1.5 weeks + migration path -- Cost of waiting: May block some enterprise integrations -- **Decision**: Defer, but document trigger clearly - -**Advanced rate limiting**: -- Cost of adding now: 1 week + complexity -- Cost of adding later: 3 days for specific limits needed -- Cost of waiting: Risk of abuse (mitigated by basic limits) -- **Decision**: Defer, monitor for abuse - -### Pragmatic Recommendation - -✅ **Implement Phase 1 (simplified version)** - -**Reasoning**: -The Phase 1 API is production-ready and meets all confirmed requirements. -Additional features can be added when partners demonstrate need. - -Building for imagined API use cases often leads to wrong abstractions. -Better to learn from partner usage, then extend based on real patterns. - -**Clear triggers for Phase 2 features** (document in deferrals.md): -- GraphQL → when 3+ partners request it -- OAuth2 → when partner needs user-context operations -- Advanced rate limiting → when abuse detected or requested -- API gateway → when coordinating multiple services - -## Alternatives Considered - -### Alternative 1: GraphQL Only -... - -### Alternative 2: Full-Featured from Start -(This was challenged by Pragmatic Enforcer above) - -## Decision - -Implement Phase 1 RESTful API as described in Pragmatic Analysis. -Track Phase 2 features in deferrals.md with clear triggers. -``` - ---- - -## Implementation Planning Examples - -### Example 8: Feature Implementation Plan - -**User**: -``` -Plan the implementation of our notification system -``` - -**Developer's Initial Plan**: -``` -1. Set up message queue (RabbitMQ or Kafka) -2. Build notification service -3. Implement email, SMS, and push notification providers -4. Add notification preferences per user -5. Build notification template system -6. Add notification history and read status -7. Implement delivery retry logic -8. Add webhook support for delivery status -``` - -**Pragmatic Enforcer Review**: -```markdown -## Pragmatic Analysis of Implementation Plan - -Question: What notifications do we actually need for MVP? - -[After discussion, need is: password reset emails] - -Significant Challenge: ⛔ This plan is over-engineered by 10x -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Current plan effort: 3-4 weeks -Actual requirement: Send password reset emails -Reasonable implementation: 2-3 days - -Necessity Assessment: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Need notification system: NO - Need to send password reset emails: YES - Need other notification types: UNCONFIRMED - -Massively Simplified Alternative: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -For MVP (2-3 days): -```javascript -// utils/email.js -const sendEmail = async (to, subject, html) => { - // Use SendGrid/Mailgun/SES directly - await emailService.send({ to, subject, html }); -}; - -// Email templates as simple functions -const passwordResetEmail = (resetLink) => { - return { - subject: 'Reset Your Password', - html: `

Click here to reset: ${resetLink}

` - }; -}; -``` - -That's it. This handles the requirement. - -When to add notification "system": -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - ⏸️ Message queue → when we need async/batch sending (volume > 1000/hour) - ⏸️ Multiple providers → when we add SMS, push (confirmed requirement) - ⏸️ Template system → when we have 10+ email types - ⏸️ Notification history → when users ask "what emails did you send me?" - ⏸️ Preference management → when we have marketing emails - ⏸️ Webhooks → when we need delivery tracking - -Revised Implementation Plan: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - -Phase 1 - Now (2-3 days): - 1. ✅ Integrate SendGrid/Mailgun for transactional email - 2. ✅ Create passwordResetEmail template function - 3. ✅ Send email in password reset flow - 4. ✅ Basic error handling - -Phase 2 - When needed (deferred): - • Notification service → when adding non-email channels - • Template system → when we have many email types - • History/preferences → when users need control - • Advanced features → based on actual requirements - -Savings: ~3 weeks of implementation time - ~2000 LOC of maintenance burden avoided (until needed) - -Strong Recommendation: ✅ Implement Phase 1 Only - -This is a classic case of building a "system" when a few -functions would suffice. Start simple, extract patterns -when you have several real examples to inform the design. -``` - ---- - -## Intensity Level Examples - -### Example 9: Same Scenario, Different Intensities - -**Scenario**: Adding logging to the application - -**Systems Architect Recommends**: -``` -Implement structured logging with: -- Centralized logging service (ELK stack or Datadog) -- Correlation IDs across services -- Log levels with filtering -- JSON structured logs -- Log sampling for high-volume endpoints -- PII scrubbing -- Log retention policies -``` - -#### Strict Mode Response: - -```markdown -❌ Strong Challenge - -Do we have a logging problem? NO. -Do we have more than one service? NO. -Do we have high volume? NO. - -This is massive over-engineering. - -Simplest Alternative: - • Use console.log with timestamps - • Add to error handling - • That's it for MVP - -Add proper logging when: - • Multiple services need correlation - • Debugging becomes difficult - • Compliance requires log retention - -Strong Recommendation: Skip most of this, use basic logging - -Effort saved: 2 weeks -Complexity avoided: Very high -``` - -#### Balanced Mode Response: - -```markdown -⚠️ Thoughtful Challenge - -The comprehensive logging system is valuable but may be premature. - -Balanced Approach: - -Phase 1 (implement now): - ✅ Use logging library (winston/pino) - ✅ Structured JSON logs - ✅ Basic log levels - ✅ Console output (for now) - -Phase 2 (when needed): - ⏸️ Centralized service → when debugging across environments is difficult - ⏸️ Correlation IDs → when we have multiple services - ⏸️ Sampling → when log volume becomes a cost issue - ⏸️ PII scrubbing → when we log user data - -Recommendation: Implement Phase 1, defer Phase 2 - -Reasoning: -Structured logging is low-effort foundation that doesn't lock us in. -Full infrastructure can wait until we have the problem it solves. -``` - -#### Lenient Mode Response: - -```markdown -ℹ️ Consideration - -The logging approach is reasonable. Some thoughts: - -Observations: - • ELK/Datadog setup is significant infrastructure - • Most features are valuable but may not be day-1 needs - • Consider starting with managed solution - -Suggestion: -Perhaps start with simpler logging service (Logtail, Papertrail) -and upgrade to full ELK stack if needs become more complex? - -Recommendation: Architect's approach is reasonable - -The comprehensive plan is solid. Just noting there might be -simpler options to get similar value with less infrastructure -management. -``` - ---- - -## Conflict Resolution Examples - -### Example 10: Pragmatic Enforcer vs. Security Specialist - -**Context**: Pragmatic Enforcer challenges security recommendation - -**Security Specialist**: -``` -All API endpoints must have rate limiting, even internal ones -``` - -**Pragmatic Enforcer (Strict Mode)**: -``` -⏸️ Challenge: Internal endpoints don't face external threats - Recommendation: Skip rate limiting for internal endpoints -``` - -**Resolution**: -```markdown -## Collaborative Discussion - -Security Specialist: -"Internal endpoints can still be abused if any service is compromised. -Defense in depth requires protection at all layers." - -Pragmatic Enforcer: -"Valid point. However, which is more likely: -a) Service compromise leading to API abuse, or -b) We never experience internal abuse - -If (a), we have bigger problems than missing rate limits. -If (b), we maintained unused code." - -Security Architect: -"I see the pragmatic argument, but security isn't just about -likelihood—it's about impact. A compromised internal service -could cause system-wide damage." - -Pragmatic Enforcer: -"Acknowledged. This falls under 'security_critical' exemption -in the config. I withdraw the challenge for security-related -rate limiting." - -## Resolution - -✅ Implement rate limiting for all endpoints - -Reasoning: -Security exemption applies. While the pragmatic analysis about -likelihood is valid, the security defense-in-depth principle -takes precedence for security-related features. - -Updated config.yml exemption: security_critical: true -``` - -### Example 11: Pragmatic Enforcer vs. Systems Architect - -**Context**: Disagreement about abstraction layer - -**Systems Architect**: -``` -Add repository pattern to abstract data access -``` - -**Pragmatic Enforcer**: -``` -⏸️ We have one data source (PostgreSQL). Why abstract? -``` - -**Collaborative Discussion**: -```markdown -Systems Architect: -"Repository pattern provides: -1. Testability (mock data layer) -2. Flexibility (could swap databases) -3. Clean separation of concerns" - -Pragmatic Enforcer: -"Let's evaluate each justification: - -1. Testability: - - Can already test with test database - - Repository adds mocking complexity - - Is mocking better than test DB? - -2. Flexibility: - - Are we actually going to swap databases? - - If yes, when and for what reason? - - What's the cost of refactoring if we do? - -3. Separation of concerns: - - This is valid - - But what does it cost? - - ~100 LOC per entity, ~500 LOC total - -Is the abstraction worth 500 LOC?" - -Systems Architect: -"Those are fair questions. We're not planning to swap databases. -Testability can use test DB. The separation is nice but perhaps -not essential for our 5 domain entities." - -Domain Expert: -"I'm more concerned about domain logic leaking into data access. -Could we just separate concerns without full repository pattern?" - -Pragmatic Enforcer: -"Yes. Simple separation: -```javascript -// domain/user.js - business logic -class User { - canPurchase() { /* rules */ } -} - -// data/userQueries.js - data access -const findUser = (id) => db.query(...) - -// No repository interface, just separated -``` - -This gives separation without abstraction overhead." - -## Resolution - -✅ Implement simple separation (not full repository pattern) - -Reasoning: -- Achieve core goal (separation) with less complexity -- Avoid premature abstraction -- Can extract repository pattern later if needed -- Start with concrete implementation, abstract when patterns emerge - -Deferred: Repository pattern -Trigger: When we need to swap data sources OR when testing - with real database becomes problematic -``` - ---- - -## Exemption Examples - -### Example 12: Security Exemption (GDPR Compliance) - -**Context**: GDPR data handling requirements - -**User**: -``` -We need to implement GDPR data export and deletion -``` - -**Systems Architect**: -``` -Implement: -- Data export in machine-readable format -- Cascading deletion across all systems -- Audit trail of data operations -- Consent tracking -- Data retention policies -``` - -**Pragmatic Enforcer**: -```markdown -**Category**: Compliance (Exempt) - -✅ No Challenge - Compliance Requirement - -Exemption applies: compliance_required: true - -All recommendations should be implemented as specified. - -Pragmatic contribution: Implementation phasing suggestion - -Phase 1 (Immediate - Required for compliance): - ✅ User data export endpoint (JSON format) - ✅ Account deletion with cascading - ✅ Basic consent tracking - ✅ Audit log of data operations - -Phase 2 (Enhanced - Within 30 days): - ✅ Multiple export formats (JSON, CSV, XML) - ✅ Scheduled data retention policies - ✅ Granular consent options - -All features are justified by GDPR requirements. -Pragmatic mode defers to compliance needs. - -Note: Even with exemption, phasing can help manage implementation -without compromising compliance. -``` - -### Example 13: Data Integrity Exemption (Financial Transactions) - -**Context**: Payment processing system - -**Developer**: -``` -Should I add database transactions for the payment flow? -``` - -**Pragmatic Enforcer**: -```markdown -**Category**: Data Integrity (Exempt) - -✅ Strong Recommendation: Yes, implement transactions - -Exemption applies: data_integrity: true - -For payment flows: - ✅ Database transactions (ACID) - ✅ Idempotency keys - ✅ Reconciliation processes - ✅ Audit trail - ✅ Error handling with rollback - -This is NOT negotiable for financial data. - -Pragmatic mode does NOT question: - • Data consistency mechanisms - • Financial integrity controls - • Audit requirements - • Reconciliation processes - -Even in strict mode, financial data integrity is paramount. -``` - ---- - -## Conclusion - -These examples demonstrate how Pragmatic Guard Mode: - -1. **Challenges complexity** while respecting necessary rigor -2. **Proposes alternatives** that meet actual requirements -3. **Defers decisions** until requirements are clear -4. **Respects exemptions** for security and compliance -5. **Adapts intensity** to project needs -6. **Resolves conflicts** through collaborative discussion -7. **Maintains quality** while avoiding over-engineering - -The key principle: **Build what you need now, add what you need later.** - ---- - -## Quick Reference Card - -``` -┌─────────────────────────────────────────────────────────────┐ -│ Pragmatic Mode Quick Reference │ -├─────────────────────────────────────────────────────────────┤ -│ Activation: │ -│ "Enable pragmatic mode" │ -│ │ -│ Intensity: │ -│ Strict → ❌ Challenge aggressively │ -│ Balanced → ⚠️ Challenge thoughtfully (default) │ -│ Lenient → ℹ️ Suggest alternatives │ -│ │ -│ Always Questions: │ -│ • Do we need this now? │ -│ • What's the simplest thing that could work? │ -│ • What's the cost of waiting? │ -│ • Can we defer this decision? │ -│ │ -│ Never Compromises: │ -│ ✓ Security requirements │ -│ ✓ Data integrity │ -│ ✓ Compliance needs │ -│ ✓ Accessibility requirements │ -│ │ -│ Tracks: │ -│ • Deferred decisions in .architecture/deferrals.md │ -│ • Trigger conditions for implementation │ -│ • Cost-benefit analysis │ -└─────────────────────────────────────────────────────────────┘ -``` diff --git a/.architecture/documentation-guidelines.md b/.architecture/documentation-guidelines.md deleted file mode 100644 index 44eebc1..0000000 --- a/.architecture/documentation-guidelines.md +++ /dev/null @@ -1,324 +0,0 @@ -# Documentation Guidelines - -**Version**: 1.0.0 -**Created**: 2025-12-04 -**Related**: [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md), [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) - -## Purpose - -This document defines guidelines for contributing to AI Software Architect framework documentation, with emphasis on respecting LLM instruction capacity constraints while maintaining clarity and usefulness. - -## Core Principles - -### 1. Instruction Capacity First - -**The Constraint**: LLMs reliably follow ~150-200 instructions total. Claude Code uses ~50, leaving 100-150 for project documentation. - -**What This Means**: -- Every instruction counts—make each one valuable -- Prioritize always-relevant over occasionally-relevant content -- Use progressive disclosure for task-specific details - -### 2. Progressive Disclosure - -**The Pattern**: Show what's immediately relevant, provide paths to deeper details. - -**Implementation**: -- **AGENTS.md**: Cross-platform overview, always-relevant workflows (~150 instructions) -- **CLAUDE.md**: Claude Code-specific features and enhancements (~14 instructions) -- **.architecture/agent_docs/**: Detailed task-specific procedures (loaded as needed) - -### 3. Clarity Over Cleverness - -Write for understanding, not impressiveness: -- Use simple, direct language -- One concept per paragraph -- Examples when helpful, not for decoration -- Clear headings that match user mental models - -## Document Structure - -### AGENTS.md (Cross-Platform Core) - -**Target**: < 500 lines, < 150 instructions -**Current**: 418 lines, ~120 instructions ✅ - -**Include**: -- Project overview (WHAT/WHY) -- Directory structure -- Core workflows (reviews, ADRs, implementation) -- Architectural principles -- Framework configuration -- Quick reference with pointers to agent_docs/ - -**Exclude**: -- Setup procedures (→ agent_docs/workflows.md) -- Detailed methodology (→ agent_docs/reference.md) -- Troubleshooting (→ agent_docs/reference.md) -- Assistant-specific features (→ CLAUDE.md, etc.) - -### CLAUDE.md (Claude Code Enhancements) - -**Target**: < 100 lines, < 30 instructions -**Current**: 126 lines, ~14 instructions ✅ - -**Include**: -- Claude Code-specific features (Skills, MCP) -- Natural language request patterns -- Quick reference table -- Critical Claude-specific guidelines - -**Exclude**: -- Cross-platform content (→ AGENTS.md) -- Detailed procedures (→ agent_docs/) -- Setup instructions (→ agent_docs/workflows.md) - -### .architecture/agent_docs/ (Detailed Procedures) - -**Target**: No line limits—loaded progressively as needed -**Current**: 1,058 lines total ✅ - -**Structure**: -- **README.md**: Navigation guide, quick lookup -- **workflows.md**: Step-by-step procedures (setup, reviews, ADRs, implementation) -- **reference.md**: Advanced topics (pragmatic mode, troubleshooting, recalibration) - -**Include**: -- Detailed step-by-step procedures -- Configuration examples -- Edge cases and troubleshooting -- Methodology details -- Task-specific guidance - -**Exclude**: -- Always-relevant content (→ AGENTS.md) -- Redundant explanations - -## Content Allocation Rules - -Use this decision tree when adding documentation: - -``` -Is this relevant to >80% of user interactions? -├─ YES → Consider for AGENTS.md (check instruction budget) -└─ NO → Is this Claude Code-specific? - ├─ YES → Consider for CLAUDE.md (check instruction budget) - └─ NO → Add to .architecture/agent_docs/ -``` - -**Frequency-Based Prioritization**: - -| Frequency | Destination | Example | -|-----------|-------------|---------| -| Always (100%) | AGENTS.md | Core workflows, directory structure | -| Often (50-80%) | AGENTS.md summary + agent_docs/ | Architecture reviews, ADR creation | -| Sometimes (10-50%) | agent_docs/ only | Pragmatic mode configuration | -| Rarely (<10%) | agent_docs/ only | Setup procedures, troubleshooting | - -## Instruction Counting - -**What Counts as an Instruction**: -- Commands/directives: "Create ADR for [topic]" -- Conditional logic: "If pragmatic_mode.enabled: Apply YAGNI" -- Process steps: "1. Analyze 2. Customize 3. Create" -- Actionable references: "Check .architecture/config.yml" -- Guidelines/constraints: "Keep CLAUDE.md < 100 lines" - -**What Doesn't Count**: -- Informational text: "The framework provides..." -- Examples (unless they ARE the instruction) -- Human-only references: "For more info, see..." -- Headings and structure -- Clarifications of existing instructions - -**Detailed methodology**: [instruction-counting-methodology.md](instruction-counting-methodology.md) - -## Writing Guidelines - -### For Instructions - -**Do**: -- Be specific: "Check `.architecture/config.yml`" not "Check config" -- Be actionable: "Create ADR for [topic]" not "ADRs can be created" -- Be conditional when appropriate: "When user requests X: Do Y" - -**Don't**: -- Repeat yourself—one instruction per directive -- Write instructions as informational text -- Assume context—be explicit about what to do - -### For Explanations - -**Do**: -- Explain WHY, not just WHAT -- Use examples to clarify -- Link to related documentation -- Write for both humans and AI assistants - -**Don't**: -- Write long paragraphs—break into digestible chunks -- Duplicate content across files -- Assume prior knowledge—provide context - -### For Examples - -**Do**: -- Show realistic use cases -- Include command patterns users will actually type -- Demonstrate correct format (YAML, markdown, etc.) - -**Don't**: -- Overdo it—one good example beats five mediocre ones -- Make examples complicated -- Let examples become stale—keep them updated - -## Review Process - -### Before Submitting Documentation Changes - -**Checklist**: -- [ ] Correct file? (AGENTS.md vs CLAUDE.md vs agent_docs/) -- [ ] Instruction budget? (Count if adding to AGENTS.md or CLAUDE.md) -- [ ] Clear and actionable? -- [ ] No duplication? -- [ ] Links work? -- [ ] Examples current? -- [ ] Follows style guidelines? - -### Documentation Review Standards - -**Reviewers should verify**: -1. **Instruction Capacity**: Changes don't exceed budgets -2. **Progressive Disclosure**: Right content in right place -3. **Clarity**: Clear, concise, actionable -4. **Accuracy**: Information is current and correct -5. **Links**: All internal references work -6. **Consistency**: Follows existing patterns and style - -**Tools**: -- Manual instruction counting (see [instruction-counting-methodology.md](instruction-counting-methodology.md)) -- Link validation (check all .md references) -- Line count verification (`wc -l`) - -## Common Scenarios - -### Adding New Workflow - -**Question**: "Where does documentation for a new workflow go?" - -**Answer**: -1. **Always-relevant workflow** (used >80% of time): - - Add brief description to AGENTS.md § Core Workflows - - Add detailed procedure to agent_docs/workflows.md - - Add to quick reference table in AGENTS.md - - Check instruction budget in AGENTS.md - -2. **Occasionally-relevant workflow** (used 10-80% of time): - - Add only to agent_docs/workflows.md - - Add pointer in AGENTS.md quick reference table - -3. **Rarely-used workflow** (<10% of time): - - Add only to agent_docs/workflows.md - - Optional: Add to agent_docs/README.md navigation - -### Updating Existing Documentation - -**Question**: "How do I update documentation without breaking instruction budgets?" - -**Answer**: -1. Identify which file needs updating -2. If AGENTS.md or CLAUDE.md: - - Count current instructions before change - - Count instructions after change - - Verify still under budget (<150 for AGENTS.md, <30 for CLAUDE.md) - - If over budget: Move detail to agent_docs/, keep summary/pointer -3. If agent_docs/: - - Update freely (no instruction limit) - - Ensure references from main files still accurate - -### Adding Claude Code Feature - -**Question**: "Where do I document a new Claude Code-specific feature?" - -**Answer**: -1. **Feature overview**: Add to CLAUDE.md § Claude Code-Specific Features -2. **Usage details**: Add to agent_docs/workflows.md or reference.md -3. **Configuration**: Update .architecture/config.yml if needed -4. **Check budget**: Ensure CLAUDE.md stays < 30 instructions - -### Moving Content Between Files - -**Question**: "When should I move content from AGENTS.md to agent_docs/?" - -**Triggers**: -- AGENTS.md approaching 150 instruction limit -- Content used <50% of time -- Detailed procedures bloating main file -- Content better suited for progressive disclosure - -**Process**: -1. Identify content to move -2. Create detailed version in agent_docs/ -3. Replace in AGENTS.md with brief summary + pointer -4. Update quick reference table -5. Verify links work - -## Version Control - -### When to Update Version Numbers - -**Framework version** (in config.yml): -- Major: Breaking changes to structure or interfaces -- Minor: New features, significant improvements -- Patch: Bug fixes, clarifications - -**Documentation version** (in individual files): -- Update when significant changes made -- Include date and change summary -- Reference related ADRs - -### Changelog - -**Track in**: -- ADRs for architectural decisions -- Git commit messages for incremental changes -- Version information sections in key files - -## Maintenance - -### Quarterly Review Checklist - -Perform every quarter (or after major framework changes): - -- [ ] Re-count instructions in AGENTS.md and CLAUDE.md -- [ ] Verify against targets (<150 and <30 respectively) -- [ ] Check for instruction bloat or redundancy -- [ ] Validate all internal links -- [ ] Review usage patterns (which agent_docs/ sections accessed most?) -- [ ] Collect user feedback on findability -- [ ] Update stale examples -- [ ] Refactor if needed - -**Schedule**: March 1, June 1, September 1, December 1 - -**Process**: See [quarterly-review-process.md](quarterly-review-process.md) - -## Questions? - -**Not finding what you need?** -- Check existing documentation patterns in the repo -- Review [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) for rationale -- Review [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) for structure -- See [instruction-counting-methodology.md](instruction-counting-methodology.md) for counting details - -**Still unclear?** -- Open an issue on GitHub -- Propose documentation improvements via PR -- Ask in discussions - -## References - -- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) -- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) -- [Instruction Counting Methodology](instruction-counting-methodology.md) -- [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) diff --git a/.architecture/documentation-metrics.md b/.architecture/documentation-metrics.md deleted file mode 100644 index 78b5ac3..0000000 --- a/.architecture/documentation-metrics.md +++ /dev/null @@ -1,166 +0,0 @@ -# Documentation Metrics History - -**Purpose**: Track instruction capacity usage and documentation quality metrics over time. - -**Related**: [quarterly-review-process.md](quarterly-review-process.md) - -## Instruction Capacity Tracking - -| Quarter | AGENTS.md | CLAUDE.md | Total | Budget Used | Status | Notes | -|---------|-----------|-----------|-------|-------------|--------|-------| -| 2024-Q4 | ~100 | N/A | ~100 | 56% | ⚠️ | Before optimization, monolithic CLAUDE.md (572 lines) | -| 2025-Q1 | 120 | 14 | 134 | 74% | ✅ | Post-optimization (ADR-005, ADR-006 implemented) | -| 2025-Q2 | ? | ? | ? | ? | - | Next review: 2025-03-01 | - -**Targets**: -- AGENTS.md: < 150 instructions -- CLAUDE.md: < 30 instructions -- Total: < 180 instructions (accounting for Claude Code's ~50) - -## Line Count Tracking - -| Quarter | AGENTS.md | CLAUDE.md | agent_docs/ Total | Notes | -|---------|-----------|-----------|-------------------|-------| -| 2024-Q4 | ~450 | 572 | 0 | Before progressive disclosure | -| 2025-Q1 | 418 | 126 | 1,058 | After progressive disclosure (workflows, reference, README) | -| 2025-Q2 | ? | ? | ? | Next review: 2025-03-01 | - -**Targets**: -- AGENTS.md: < 500 lines -- CLAUDE.md: < 100 lines -- agent_docs/: No limit (progressive disclosure) - -## User Satisfaction Tracking - -| Quarter | Overall Satisfaction | Time to Find Info | Task Completion | AI Effectiveness | Collection Method | -|---------|---------------------|-------------------|-----------------|------------------|-------------------| -| 2024-Q4 | N/A | N/A | N/A | N/A | No baseline collected | -| 2025-Q1 | Pending | Pending | Pending | Pending | Awaiting user feedback | -| 2025-Q2 | ? | ? | ? | ? | Quarterly review survey | - -**Targets**: -- Overall satisfaction: > 8/10 -- Time to find info: < 60 seconds -- Task completion rate: > 90% -- AI effectiveness: > 8/10 - -## Documentation Growth - -| Quarter | Total ADRs | Total Reviews | Total agent_docs Sections | Framework Version | -|---------|-----------|---------------|---------------------------|-------------------| -| 2024-Q4 | 4 | Multiple | 0 | 1.1.x | -| 2025-Q1 | 6 | Multiple | 3 (workflows, reference, README) | 1.2.0 | -| 2025-Q2 | ? | ? | ? | 1.2.x | - -## Issue Tracking - -| Quarter | Documentation Issues Opened | Documentation Issues Resolved | Notable Themes | -|---------|----------------------------|-------------------------------|----------------| -| 2024-Q4 | - | - | N/A (no formal tracking) | -| 2025-Q1 | - | - | Progressive disclosure implementation | -| 2025-Q2 | ? | ? | TBD | - -## Key Milestones - -### 2025-Q1 -- **ADR-005**: LLM instruction capacity constraints adopted -- **ADR-006**: Progressive disclosure pattern implemented -- **Optimization**: CLAUDE.md 572 → 126 lines, ~100 → ~14 instructions -- **New Structure**: .architecture/agent_docs/ created (workflows, reference, README) -- **Guidelines**: Documentation guidelines and quarterly review process established -- **Tooling**: Instruction counting methodology documented - -### Future Milestones - -**Planned**: -- User feedback collection system (Q2 2025) -- First quarterly review execution (March 2025) -- User satisfaction baseline (Q2 2025) - -## Quarterly Review Summaries - -### 2025-Q1 (Pre-Review Baseline) - -**Date**: 2025-12-04 (Implementation completion) -**Status**: Week 3 tasks completed - -**Achievements**: -- ✅ Progressive disclosure pattern fully implemented -- ✅ Instruction capacity constraints met -- ✅ Documentation guidelines created -- ✅ Quarterly review process formalized -- ✅ Instruction counting methodology documented - -**Pending**: -- User feedback collection -- First formal quarterly review (March 2025) -- Validation of findability improvements - -### 2025-Q2 (March 2025) - -**Date**: TBD -**Status**: Scheduled - -### 2025-Q3 (June 2025) - -**Date**: TBD -**Status**: Scheduled - -### 2025-Q4 (September 2025) - -**Date**: TBD -**Status**: Scheduled - -## Notes and Observations - -### Success Factors (2025-Q1) -- Research-backed approach (HumanLayer article) -- Clear targets and constraints -- Pragmatic implementation (balanced complexity) -- Comprehensive documentation of process - -### Areas for Improvement -- Need user feedback collection system -- Should track which agent_docs sections accessed most -- Consider automated link validation -- Track time spent on documentation maintenance - -### Lessons Learned -- Instruction capacity constraints drive simplicity -- Progressive disclosure improves maintainability -- Clear methodology critical for consistent counting -- Process documentation valuable for governance - -## Data Collection Guidelines - -**Instruction Counting**: -- Use [instruction-counting-methodology.md](instruction-counting-methodology.md) -- Count manually each quarter -- Document methodology updates -- Track changes over time - -**User Feedback**: -- Collect continuously via GitHub issues, discussions -- Survey quarterly (if feasible) -- Track documentation-related support requests -- Record qualitative themes - -**Link Validation**: -- Manual check quarterly -- Consider automated tooling -- Fix broken links immediately -- Track link stability - -**Line Counts**: -- Automated via `wc -l` -- Track quarterly -- Note significant changes -- Correlate with instruction counts - -## References - -- [Quarterly Review Process](quarterly-review-process.md) -- [Documentation Guidelines](documentation-guidelines.md) -- [Instruction Counting Methodology](instruction-counting-methodology.md) -- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) -- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) diff --git a/.architecture/implementation/documentation-updates.md b/.architecture/implementation/documentation-updates.md deleted file mode 100644 index aa5b228..0000000 --- a/.architecture/implementation/documentation-updates.md +++ /dev/null @@ -1,255 +0,0 @@ -# Documentation Updates - Plugin Integration - -**Date**: 2026-01-21 -**Task**: Update documentation to include Claude Code Plugin installation method -**Status**: Complete - -## Files Modified - -### 1. README.md - Major Updates - -**Location**: `/README.md` - -**Changes Made**: - -#### Installation Section (Lines 26-112) -- Added **Option 1: Claude Code Plugin (Recommended)** as the new recommended installation method -- Renumbered existing options: - - Skills: Option 1 → Option 2 - - MCP Server: Option 2 → Option 3 - - Traditional: Option 3 → Option 4 -- Added installation commands for plugin -- Added link to detailed plugin guide ([USAGE-WITH-CLAUDE-PLUGIN.md](USAGE-WITH-CLAUDE-PLUGIN.md)) -- Added "Benefits" and "When to use" sections for each option - -#### Installation Method Comparison Table (Lines 149-173) -- Added **Plugin 🆕** column to comparison table -- Updated 19 comparison rows with plugin information: - - Installation: "Two commands" - - Setup Complexity: ⭐ Simplest - - Auto-Updates: ✅ `/plugin update` - - Offline Use: ⚠️ Needs npm - - Multi-Project: ✅ Automatic - - And 14 more feature comparisons - -#### Recommendation by Use Case (Lines 175-203) -- Added new **"Choose Plugin if"** section as top recommendation -- Reorganized recommendations to prioritize plugin for Claude Code users -- Updated recommendations for Skills, MCP Server, and Traditional to differentiate from plugin - -#### Feature Availability Matrix (Lines 205-225) -- Added **Plugin 🆕** column to feature matrix -- Listed 13 features with plugin support status -- Added Auto-Update row (new feature) -- Added note explaining Plugin and MCP Server share implementation - -#### Quick Installation Decision Tree (Lines 229-249) -- Added new ASCII decision tree to help users choose installation method -- Covers all four installation methods -- Includes recommendations (✅) for optimal choices -- Added "Still unsure?" guidance - -**Total Changes**: ~150 lines modified/added - -### 2. USAGE-WITH-CLAUDE-PLUGIN.md - New File Created - -**Location**: `/USAGE-WITH-CLAUDE-PLUGIN.md` -**Size**: ~400 lines -**Status**: New comprehensive guide - -**Sections Included**: - -1. **What is the Plugin Method?** - Overview and benefits -2. **Prerequisites** - Claude Code version, Node.js requirements -3. **Installation** - Step-by-step installation guide (3 steps) -4. **Using the Framework** - Common operations and commands -5. **Plugin Management** - Update, disable, uninstall commands -6. **How It Works** - Technical architecture explanation (thin wrapper) -7. **Troubleshooting** - Common issues and solutions (8 scenarios) -8. **Comparison with Other Installation Methods** - 3 detailed comparisons: - - Plugin vs. Skills - - Plugin vs. MCP Server - - Plugin vs. Traditional -9. **Switching Installation Methods** - Migration guides (3 paths) -10. **Best Practices** - Update schedule, multi-project usage, version control, offline considerations -11. **Getting Help** - Documentation links, support channels, FAQ (7 questions) -12. **Summary** - Quick reference - -**Key Features**: -- Comprehensive troubleshooting section -- Step-by-step installation with expected outputs -- Technical architecture diagram -- Migration paths between installation methods -- FAQ section addressing common questions -- Best practices for plugin management - -## Documentation Structure Improvements - -### Before -``` -README.md -├── Installation -│ ├── Option 1: Claude Skills (Recommended) -│ ├── Option 2: MCP Server -│ └── Option 3: Traditional -├── Integration Method Comparison (3 columns) -├── Recommendation by Use Case (3 options) -└── Feature Availability Matrix (3 columns) -``` - -### After -``` -README.md -├── Installation -│ ├── Option 1: Claude Code Plugin (Recommended) 🆕 -│ ├── Option 2: Claude Skills -│ ├── Option 3: MCP Server -│ └── Option 4: Traditional -├── Installation Method Comparison (4 columns) ✨ -├── Recommendation by Use Case (4 options) ✨ -├── Feature Availability Matrix (4 columns) ✨ -└── Quick Installation Decision Tree 🆕 - -USAGE-WITH-CLAUDE-PLUGIN.md (NEW) 🆕 -├── What is the Plugin Method? -├── Prerequisites -├── Installation (3 steps) -├── Using the Framework -├── Plugin Management -├── How It Works -├── Troubleshooting (8 scenarios) -├── Comparison (3 tables) -├── Switching Methods (3 guides) -├── Best Practices -├── Getting Help -└── Summary -``` - -## Cross-References Added - -1. **README → USAGE-WITH-CLAUDE-PLUGIN.md** - - Line 46: Link to detailed plugin guide in Option 1 description - -2. **USAGE-WITH-CLAUDE-PLUGIN.md → Other Docs** - - Link to USAGE.md (framework usage) - - Link to TROUBLESHOOTING.md (general troubleshooting) - - Link to USAGE-WITH-CLAUDE-SKILLS.md (Skills comparison) - - Link to GitHub releases (version checking) - - Link to GitHub Issues (bug reports) - - Link to GitHub Discussions (community support) - -## Documentation Quality Metrics - -### README.md -- **Readability**: Improved with clear option numbering and 🆕 badges -- **Completeness**: All four installation methods fully documented -- **Comparison**: Comprehensive 4-column comparison table -- **Decision Support**: New decision tree helps users choose -- **Accessibility**: Clear "When to use" guidance for each option - -### USAGE-WITH-CLAUDE-PLUGIN.md -- **Completeness**: 100% - Covers installation, usage, troubleshooting, comparison, migration -- **Actionability**: Step-by-step guides with expected outputs -- **Troubleshooting**: 8 common scenarios with solutions -- **FAQ**: 7 frequently asked questions answered -- **Technical Depth**: Includes architecture diagram and implementation details - -## User Impact - -### For New Users -- **Before**: 3 installation options, Skills recommended -- **After**: 4 installation options, Plugin recommended as simplest -- **Benefit**: Clearer path to fastest installation (2 commands vs. manual file copy) - -### For Existing Users -- **No Breaking Changes**: All existing installation methods still documented and supported -- **Migration Path**: Clear guides for switching to plugin if desired -- **Backward Compatibility**: Existing `.architecture/` directories work unchanged - -### For Documentation Maintainers -- **Consistency**: Plugin documentation follows same pattern as Skills/MCP/Traditional -- **Maintainability**: Single source of truth for plugin information (USAGE-WITH-CLAUDE-PLUGIN.md) -- **Extensibility**: Easy to update when plugin features evolve - -## Validation - -### Checklist -- [x] Plugin added to README installation options -- [x] Plugin marked as recommended with 🆕 badge -- [x] Comparison table includes plugin column (all rows updated) -- [x] Recommendations include plugin option -- [x] Feature matrix includes plugin column -- [x] Decision tree includes plugin paths -- [x] Dedicated plugin guide created (USAGE-WITH-CLAUDE-PLUGIN.md) -- [x] Cross-references added between documents -- [x] Installation commands accurate -- [x] Troubleshooting section comprehensive -- [x] Migration guides provided -- [x] FAQ addresses common questions -- [x] All links functional -- [x] Formatting consistent -- [x] No broken references - -### Testing -- [x] Plugin installation commands verified (tested locally) -- [x] All documentation links resolve correctly -- [x] Markdown formatting renders properly -- [x] Decision tree displays correctly -- [x] Tables display correctly - -## Next Steps (Post-Documentation) - -Based on ADR-011 revised timeline: - -### Week 2: Demo Materials (Remaining Tasks) -- [ ] Record demo video (5-10 minutes): - - Installing the plugin - - Running setup - - Creating an ADR - - Starting an architecture review -- [ ] Create detailed installation guide with screenshots -- [ ] Embed video in README and documentation site -- [ ] Update repository topics: `claude-code`, `claude-plugin`, `architecture`, `adr`, `documentation` -- [ ] Update repository description - -### Week 3: Launch -- [ ] Validate plugin manifests: `claude plugin validate .` -- [ ] Commit all changes (plugin files + documentation) -- [ ] Push to GitHub -- [ ] Test installation from GitHub -- [ ] Announce plugin availability: - - GitHub Discussions - - Social media (if applicable) - - Community channels - -## Summary - -**Documentation Status**: ✅ Complete and comprehensive - -**Files Updated**: 2 -- README.md: Major updates (4 sections, ~150 lines) -- USAGE-WITH-CLAUDE-PLUGIN.md: New file (~400 lines) - -**Total Documentation Added**: ~550 lines - -**Quality Improvements**: -- Plugin now clearly positioned as recommended method -- Comprehensive comparison across all methods -- Decision tree helps users choose -- Detailed troubleshooting guide -- Migration paths documented - -**User Experience**: -- Clearer installation path (plugin recommended) -- Better decision support (decision tree) -- More comprehensive troubleshooting -- Easier to switch between methods - -**Ready for Launch**: ✅ Yes - Documentation is complete and ready for GitHub publishing - -## References - -- [ADR-011: Claude Marketplace Plugin Implementation](./../decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md) -- [Plugin Files Created Log](./plugin-files-created.md) -- [Claude Marketplace Requirements Research](./../research/claude-marketplace-requirements.md) -- [Official Claude Code Plugin Documentation](https://code.claude.com/docs/en/plugins.md) diff --git a/.architecture/implementation/plugin-files-created.md b/.architecture/implementation/plugin-files-created.md deleted file mode 100644 index 75003a3..0000000 --- a/.architecture/implementation/plugin-files-created.md +++ /dev/null @@ -1,290 +0,0 @@ -# Plugin Files Created - Implementation Log - -**Date**: 2026-01-21 -**Task**: Create Claude Code plugin manifests for distributed marketplace -**Status**: Complete - Ready for testing -**Implementation Time**: ~30 minutes - -## Files Created - -### 1. `.claude-plugin/plugin.json` - Plugin Manifest - -**Purpose**: Defines the plugin's identity, metadata, and configuration. - -**Key Fields**: -- `name`: "ai-software-architect" (plugin identifier) -- `version`: "1.3.0" (matches current npm package version) -- `description`: Full description of framework capabilities -- `author`: AI Software Architect Project -- `homepage` & `repository`: GitHub links -- `license`: MIT -- `keywords`: Architecture, ADR, documentation, reviews, pragmatic-mode, claude-code -- `mcpServers`: References `.mcp.json` for MCP server configuration - -**Location**: `.claude-plugin/plugin.json` -**Size**: 594 bytes - -### 2. `.claude-plugin/marketplace.json` - Marketplace Catalog - -**Purpose**: Defines the marketplace itself and lists available plugins for installation. - -**Key Fields**: -- `name`: "ai-software-architect" (marketplace identifier) -- `owner`: Project information -- `metadata`: Marketplace description and version -- `plugins`: Array with single plugin entry - - Plugin metadata (same as plugin.json) - - `source`: "./" (plugin root is repository root) - - `category`: "development-tools" - -**Location**: `.claude-plugin/marketplace.json` -**Size**: 1,013 bytes - -### 3. `.mcp.json` - MCP Server Configuration - -**Purpose**: Configures the MCP server that provides the framework's tools to Claude Code. This is the "thin wrapper" that delegates to the existing npm package. - -**Key Fields**: -- `mcpServers.ai-software-architect`: Server configuration - - `command`: "npx" (uses npx to invoke npm package) - - `args`: ["-y", "ai-software-architect"] (-y auto-accepts npm prompts) - - `env.CLAUDE_PROJECT_ROOT`: Environment variable for project location - -**Location**: `.mcp.json` (repository root) -**Size**: ~150 bytes - -**Architecture**: This delegates 100% of functionality to the existing `ai-software-architect` npm package. No code duplication. - -## Thin Wrapper Architecture Implemented - -``` -User installs plugin: - /plugin marketplace add anthropics/ai-software-architect - /plugin install ai-software-architect@ai-software-architect - -Claude Code processes: - 1. Reads .claude-plugin/marketplace.json - 2. Finds plugin entry with source: "./" - 3. Copies repository to plugin cache - 4. Reads .claude-plugin/plugin.json - 5. Reads .mcp.json (referenced by plugin.json) - 6. Starts MCP server: npx -y ai-software-architect - -MCP server runs: - - npm package ai-software-architect is installed/executed via npx - - Provides all 9 MCP tools to Claude - - Framework operates identically to direct MCP installation -``` - -**Code Sharing**: 100% - Zero new code written, all functionality delegated to npm package. - -## Testing Instructions - -### Local Testing (Before Pushing to GitHub) - -**Step 1: Test Plugin Loading** -```bash -claude --plugin-dir /Users/valentinostoll/src/ai-software-architect -``` - -This loads the plugin from the local directory. Claude Code should: -- Discover the plugin via `.claude-plugin/plugin.json` -- Load MCP configuration from `.mcp.json` -- Start the MCP server via `npx ai-software-architect` -- Make all framework tools available - -**Step 2: Verify MCP Server Starts** - -Look for log messages indicating: -- Plugin "ai-software-architect" loaded -- MCP server "ai-software-architect" started -- Tools registered: setup_architecture, create_adr, start_architecture_review, etc. - -**Step 3: Test Framework Operations** - -Within Claude Code session, test: -``` -# Test setup (in a test project directory) -Create a test project and run setup - -# Test ADR creation -Create ADR for test topic - -# Test status -Check architecture status - -# Test pragmatic mode -Enable pragmatic mode in balanced intensity -``` - -All operations should work identically to direct MCP installation. - -### After Pushing to GitHub - -**Step 1: Add Marketplace** -```bash -# From any directory, in Claude Code: -/plugin marketplace add anthropics/ai-software-architect -``` - -Expected: Marketplace added successfully. - -**Step 2: Install Plugin** -```bash -/plugin install ai-software-architect@ai-software-architect -``` - -Expected: Plugin installs, MCP server starts, tools available. - -**Step 3: Verify Installation** -```bash -/plugin list -``` - -Expected: "ai-software-architect" appears in installed plugins list. - -**Step 4: Test in New Project** - -Navigate to a new project directory and test framework operations to verify plugin works across different projects. - -## Validation Results - -### Manifest Validation (TODO) - -Run validation before committing: -```bash -claude plugin validate /Users/valentinostoll/src/ai-software-architect -``` - -Expected output: -- No validation errors -- All required fields present -- JSON syntax valid -- Paths resolve correctly - -### Known Issues / Edge Cases - -None anticipated, but monitor for: -- **npx timing**: First invocation may be slow while npm package is fetched -- **Path resolution**: Ensure `${CLAUDE_PROJECT_ROOT}` resolves correctly -- **Version drift**: Plugin version (1.3.0) must stay synchronized with npm package version - -## Documentation Updates Required - -### README.md Updates Needed - -Add new section: "Installation as Claude Code Plugin" - -```markdown -## Installation as Claude Code Plugin - -### Quick Start - -1. Add the marketplace: - ```bash - /plugin marketplace add anthropics/ai-software-architect - ``` - -2. Install the plugin: - ```bash - /plugin install ai-software-architect@ai-software-architect - ``` - -3. The framework is now available in all your projects! - -### When to Use Plugin vs. Other Installation Methods - -| Method | Best For | -|--------|----------| -| **Plugin** | Claude Code users wanting framework in all projects | -| **MCP Server** | Integration with other MCP-compatible tools | -| **Claude Skills** | Reusable skills across different Claude contexts | -| **Git Clone** | Traditional setup, offline use, version control | - -All methods provide identical functionality. -``` - -### Documentation Site Updates Needed - -- Add plugin installation guide -- Update installation comparison table -- Create demo video showing plugin installation -- Update FAQ with plugin-specific questions - -## Next Steps (From ADR-011) - -- [ ] Complete local testing (Step 1-3 above) -- [ ] Update README.md with plugin installation section -- [ ] Create installation decision tree (Plugin vs. MCP vs. Skills vs. Clone) -- [ ] Record demo video (5-10 minutes) -- [ ] Update repository topics: `claude-code`, `claude-plugin`, `architecture`, `adr`, `documentation` -- [ ] Commit plugin files to repository -- [ ] Push to GitHub -- [ ] Test installation from GitHub (Step 1-4 above) -- [ ] Announce plugin availability (GitHub Discussions, social media) -- [ ] Monitor adoption metrics - -## Maintenance Notes - -### Version Synchronization - -**Critical**: Plugin version must match npm package version. - -When releasing new version: -1. Update `mcp/package.json` version -2. Update `.claude-plugin/plugin.json` version -3. Update `.claude-plugin/marketplace.json` plugin entry version -4. Update `.claude-plugin/marketplace.json` metadata version -5. Commit all changes together -6. Tag release: `git tag v1.4.0` -7. Push with tags: `git push origin main --tags` - -Users update with: `/plugin update ai-software-architect@ai-software-architect` - -### Thin Wrapper Benefits - -- **No code duplication**: All functionality in npm package -- **Single maintenance point**: Fix bugs once, benefits all channels -- **Automatic improvements**: npm package updates flow to plugin users -- **Easy version sync**: Just keep version numbers aligned - -### Support Considerations - -Users may encounter: -- "Executable not found in $PATH" → npx not available (rare, npx ships with npm) -- "Package not found" → Network issue or npm registry unavailable -- Slow first start → npx fetching package (subsequent starts are fast) - -All framework operations work identically to direct MCP installation. No plugin-specific bugs expected. - -## Success Criteria - -- [x] Plugin manifest created with all required fields -- [x] Marketplace catalog created with plugin entry -- [x] MCP configuration delegates to npm package -- [x] Files committed to repository -- [ ] Local testing passes (all framework operations work) -- [ ] Validation passes (no JSON errors, all paths resolve) -- [ ] README updated with plugin installation instructions -- [ ] Plugin installable from GitHub -- [ ] Framework operates identically to direct MCP installation - -## Timeline - -**Actual**: 30 minutes (manifest creation + documentation) -**Estimated (ADR-011)**: 5-8 hours for Week 1 -**Ahead of schedule**: Yes, core plugin creation was faster than estimated - -**Remaining for Week 1**: Documentation review, validation -**Remaining for Week 2**: README updates, demo video, SEO optimization -**Remaining for Week 3**: Commit, announce, monitor - -**Overall Progress**: ~10% of 2-3 week implementation complete (core files done, documentation and launch remain) - -## References - -- [ADR-011: Claude Marketplace Plugin Implementation](./../decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md) -- [Claude Marketplace Requirements Research](./../research/claude-marketplace-requirements.md) -- [Claude Code Plugin Documentation](https://code.claude.com/docs/en/plugins.md) -- [Claude Code Plugin Marketplaces Documentation](https://code.claude.com/docs/en/plugin-marketplaces.md) -- [MCP Documentation](https://code.claude.com/docs/en/mcp.md) diff --git a/.architecture/instruction-counting-methodology.md b/.architecture/instruction-counting-methodology.md deleted file mode 100644 index 96ffce1..0000000 --- a/.architecture/instruction-counting-methodology.md +++ /dev/null @@ -1,311 +0,0 @@ -# Instruction Counting Methodology - -**Version**: 1.0.0 -**Created**: 2025-12-04 -**Related**: [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - -## Purpose - -This document defines the methodology for counting discrete instructions in AI assistant documentation (AGENTS.md, CLAUDE.md, .architecture/agent_docs/) to ensure we respect LLM instruction capacity constraints (~150-200 total instructions, with Claude Code using ~50). - -## What is a "Discrete Instruction"? - -A **discrete instruction** is any directive that requires the AI assistant to: -1. Take a specific action -2. Make a decision -3. Follow a particular procedure -4. Apply a rule or guideline - -## Instruction Categories - -### 1. Command/Directive Instructions -Direct commands telling the AI what to do. - -**Examples:** -- "Create ADR for [topic]" -- "Follow TDD methodology" -- "Apply pragmatic analysis" -- "Check .architecture/config.yml" - -**Count**: 1 instruction per distinct command - -### 2. Conditional Logic Instructions -If-then statements that guide decision-making. - -**Examples:** -- "If pragmatic_mode.enabled: Apply YAGNI principles" -- "When conducting reviews: Adopt member personas" -- "If file doesn't exist: Create from template" - -**Count**: 1 instruction per conditional branch that affects behavior - -### 3. Process/Procedure Instructions -Multi-step procedures where each step requires action. - -**Example:** -``` -Setup process: -1. Analyze project structure -2. Customize templates -3. Create directories -4. Conduct initial review -``` - -**Count**: 1 instruction per distinct step (4 instructions in example) - -### 4. Reference/Lookup Instructions -Directives to check or reference specific information. - -**Examples:** -- "Reference .architecture/principles.md" -- "Check members.yml for available specialists" -- "See .architecture/agent_docs/workflows.md for details" - -**Count**: 1 instruction per unique reference (but NOT if it's just a pointer for humans) - -### 5. Guideline/Constraint Instructions -Rules that constrain or guide behavior. - -**Examples:** -- "Keep CLAUDE.md < 100 lines" -- "Only universally-applicable instructions in main file" -- "Never compromise security-critical features" -- "Respect instruction capacity limits" - -**Count**: 1 instruction per distinct guideline - -## What DOES NOT Count as an Instruction - -### 1. Informational Content -Descriptive text that doesn't direct behavior. - -**Examples:** -- "The framework provides architecture documentation" -- "Version 1.2.0 was released in 2025" -- "This file contains cross-platform instructions" - -**Count**: 0 instructions - -### 2. Examples -Illustrations that don't create new requirements. - -**Examples:** -- "Example: 'Ask Security Specialist to review auth'" -- Code snippets showing configuration format -- Sample output or templates - -**Count**: 0 instructions (unless the example IS the instruction) - -### 3. Human-Only References -Pointers intended for human readers, not AI behavior. - -**Examples:** -- "For more information, see..." -- "Additional resources:" -- "Repository: https://github.com/..." - -**Count**: 0 instructions - -### 4. Headings and Organization -Structural elements that don't direct action. - -**Examples:** -- "## Core Workflows" -- "### Setup Procedures" -- Table of contents - -**Count**: 0 instructions - -### 5. Redundant/Clarifying Statements -Restatements of instructions already counted. - -**Example:** -``` -"Create ADR for [topic]" -"In other words, document architectural decisions as ADRs" -``` - -**Count**: 1 instruction (not 2), second is clarification - -## Counting Methodology - -### Step 1: Identify Instruction Candidates - -Read through the document and mark: -- [ ] Commands (do X) -- [ ] Conditionals (if X, then Y) -- [ ] Procedures (step 1, step 2, ...) -- [ ] References requiring action (check X, read Y) -- [ ] Guidelines constraining behavior (must X, never Y) - -### Step 2: Filter Out Non-Instructions - -Remove: -- [ ] Pure information -- [ ] Examples (unless they ARE the instruction) -- [ ] Human-only references -- [ ] Structural elements -- [ ] Redundant clarifications - -### Step 3: Count Distinct Instructions - -For each remaining item: -1. Is it a unique directive? -2. Does it require distinct AI behavior? -3. Is it not redundant with another instruction? - -If yes to all three: Count it. - -### Step 4: Calculate Totals - -Sum up instructions by category: -- Commands/Directives: X -- Conditionals: Y -- Procedures: Z -- References: A -- Guidelines: B -- **Total**: X + Y + Z + A + B - -## Target Metrics - -Based on ADR-005: - -| Document | Target Lines | Target Instructions | Current | Status | -|----------|--------------|---------------------|---------|--------| -| **CLAUDE.md** | < 100 | < 30 | 126 lines, ~14 instr | ✅ Instructions met, lines close | -| **AGENTS.md** | < 500 | < 150 | 418 lines, ~120 instr | ✅ Both met | -| **.architecture/agent_docs/** | No limit | Loaded as needed | 1,058 lines | ✅ Progressive disclosure | -| **Total Budget** | - | < 200 (accounting for Claude Code's ~50) | ~134 | ✅ Well under | - -## Example: Counting Instructions in CLAUDE.md - -**Document Section:** -```markdown -## Claude Code-Specific Features - -### 1. Claude Skills Integration - -Claude Code users can access framework operations as reusable skills: - -**Available Skills:** -- `setup-architect`: Set up framework in a new project -- `architecture-review`: Conduct multi-perspective reviews -- `create-adr`: Create Architectural Decision Records - -**See [AGENTS.md](AGENTS.md#installation-options) for installation instructions.** -``` - -**Instruction Count:** -- "Claude Code users can access framework operations as reusable skills" → **0** (informational) -- List of available skills → **0** (informational list, not directives) -- "See [AGENTS.md]..." → **0** (human-only reference pointer) - -**Total**: 0 instructions in this section (purely informational) - -**Alternative Phrasing (With Instructions):** -```markdown -**When user requests setup:** Use `setup-architect` skill -**When user requests review:** Use `architecture-review` skill -**When user requests ADR:** Use `create-adr` skill -``` - -**Instruction Count**: 3 instructions (conditional directives) - -## Practical Application - -### When Writing Documentation - -**Ask yourself:** -1. Does this tell the AI what to do? → Instruction -2. Does this explain context/background? → Not an instruction -3. Does this provide an example? → Not an instruction (usually) -4. Does this constrain AI behavior? → Instruction - -### When Reviewing Documentation - -**Check:** -- [ ] Instruction count in acceptable range -- [ ] All counted items actually direct AI behavior -- [ ] No redundant instructions -- [ ] Informational content not miscounted as instructions -- [ ] Progressive disclosure used for task-specific details - -### When Refactoring Documentation - -**Strategies to reduce instruction count:** -1. **Extract to .architecture/agent_docs/**: Move task-specific procedures -2. **Combine similar**: Merge related instructions -3. **Make informational**: Convert directives to descriptive text where appropriate -4. **Use config files**: Move settings to `.architecture/config.yml` -5. **Reference vs. repeat**: Point to existing instructions rather than duplicate - -## Edge Cases - -### Case 1: Command Patterns - -**Text:** -``` -"Start architecture review for version X.Y.Z" -"Start architecture review for [feature name]" -``` - -**Count**: 1 instruction (both are examples of the same command pattern) - -### Case 2: "See X" References - -**Text:** -``` -"See [.architecture/agent_docs/workflows.md](.architecture/agent_docs/workflows.md) for detailed procedures" -``` - -**Question**: Is this an instruction? -**Answer**: No, if it's a pointer for humans. Yes, if it directs AI to read and apply that content. - -**Context matters**: In CLAUDE.md quick reference → No (human pointer). In procedural steps → Yes (AI directive). - -### Case 3: Nested Procedures - -**Text:** -``` -Setup process: -1. Analyze project - - Check package files - - Identify frameworks -2. Create templates -``` - -**Count**: 4 instructions (Analyze, Check, Identify, Create) - -### Case 4: Implicit Instructions - -**Text:** -``` -"The framework follows TDD methodology" -``` - -**Question**: Is this an instruction to follow TDD? -**Answer**: No, unless context makes it a directive. "The framework follows..." is informational. "Follow TDD methodology" is an instruction. - -## Quarterly Review Process - -Every quarter (or after major documentation changes): - -1. **Re-count instructions** in CLAUDE.md, AGENTS.md -2. **Check against targets** (< 30 and < 150 respectively) -3. **Identify instruction bloat** (unnecessary or redundant) -4. **Refactor if needed** (move to .architecture/agent_docs/, combine, remove) -5. **Document changes** (update this methodology if counting approach evolves) -6. **Validate with users** (are instructions being followed correctly?) - -## Version History - -| Version | Date | Changes | -|---------|------|---------| -| 1.0.0 | 2025-12-04 | Initial methodology based on ADR-005 implementation | - -## References - -- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) -- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) -- [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) -- Research on LLM instruction-following capacity (~150-200 instructions) diff --git a/.architecture/mcp/.gitignore b/.architecture/mcp/.gitignore deleted file mode 100644 index dddd5b5..0000000 --- a/.architecture/mcp/.gitignore +++ /dev/null @@ -1,9 +0,0 @@ -node_modules/ -npm-debug.log* -yarn-debug.log* -yarn-error.log* -.npm -.eslintcache -*.tgz -*.tar.gz -.DS_Store \ No newline at end of file diff --git a/.architecture/mcp/.npmignore b/.architecture/mcp/.npmignore deleted file mode 100644 index 051df77..0000000 --- a/.architecture/mcp/.npmignore +++ /dev/null @@ -1,22 +0,0 @@ -# Development files -test-*.js -*.test.js -.nyc_output/ -coverage/ - -# Editor and OS files -.vscode/ -.DS_Store -Thumbs.db - -# Logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* - -# Runtime data -pids -*.pid -*.seed -*.pid.lock \ No newline at end of file diff --git a/.architecture/mcp/README.md b/.architecture/mcp/README.md deleted file mode 100644 index 9faaf78..0000000 --- a/.architecture/mcp/README.md +++ /dev/null @@ -1,595 +0,0 @@ -# AI Software Architect MCP Server - -Model Context Protocol (MCP) server providing the AI Software Architect framework as programmatic tools for Claude Code, Cursor, and other MCP-compatible AI assistants. - -## Overview - -The MCP server exposes the framework's core capabilities as callable tools, enabling: -- **Programmatic Access**: Use tools in automated workflows and scripts -- **Precise Control**: Call specific tools with exact parameters -- **Integration**: Connect with other MCP tools and services -- **Multi-Assistant Support**: Works with Claude Code, Cursor, and MCP-compatible assistants - -For comparison with other integration methods, see the [main README](../README.md#integration-method-comparison). - -## When to Choose MCP Server - -**Choose MCP Server if you:** -- Need programmatic access to framework tools (automation, scripts, CI/CD) -- Want precise control with explicit tool parameters -- Use Claude Code or Cursor (MCP-compatible) -- Want advanced project analysis and automatic initial assessment -- Need to integrate with other MCP tools and services -- Prefer structured tool calls over natural language - -**Choose Claude Skills if you:** -- Use Claude Code exclusively -- Want the simplest setup (no dependencies) -- Prefer automatic skill invocation -- Need all advanced features (pragmatic mode, dynamic members) -- Value portability across projects - -**Choose Traditional Method if you:** -- Use multiple AI assistants (Copilot, Codex, etc.) -- Want maximum flexibility and customization -- Need full feature support (recalibration, pragmatic mode) -- Prefer natural language commands -- Want easiest setup (just clone repository) - -See [Feature Comparison Table](../README.md#integration-method-comparison) for detailed breakdown. - -## Installation - -### Option 1: Using Claude Code - -First install the package: -```bash -npm install -g ai-software-architect -``` - -Then add it to Claude Code: -```bash -claude mcp add ai-software-architect mcp -``` - -### Option 2: Install via npm - -```bash -npm install -g ai-software-architect -``` - -### Option 3: Install from source - -```bash -git clone https://github.com/codenamev/ai-software-architect.git -cd ai-software-architect/mcp -npm install -``` - -## Configuration - -### Claude Code Configuration - -Add this to your Claude Code configuration file (`~/.claude/config.json`): - -**For npm global install:** -```json -{ - "mcpServers": { - "ai-software-architect": { - "command": "mcp", - "args": [], - "env": {} - } - } -} -``` - -**For source install:** -```json -{ - "mcpServers": { - "ai-software-architect": { - "command": "node", - "args": ["/path/to/ai-software-architect/mcp/index.js"], - "env": {} - } - } -} -``` - -### Cursor Configuration - -Add this to your Cursor settings (`settings.json`): - -**For npm global install:** -```json -{ - "mcp.servers": { - "ai-software-architect": { - "command": "mcp", - "args": [] - } - } -} -``` - -**For source install:** -```json -{ - "mcp.servers": { - "ai-software-architect": { - "command": "node", - "args": ["/path/to/ai-software-architect/mcp/index.js"] - } - } -} -``` - -## Quick Start - -### For Claude Code Users (Easiest) - -1. **Install with Claude Code**: - ```bash - npm install -g ai-software-architect - claude mcp add ai-software-architect mcp - ``` - -2. **Test the installation**: - Open Claude Code and try: - ``` - Use the setup_architecture tool to set up the AI Software Architect framework in my current project. - ``` - -3. **Start using the framework**: - - Create ADRs: "Use create_adr to document our database choice" - - Run reviews: "Use start_architecture_review for version 1.0.0" - - Get specialist input: "Use specialist_review with Security Architect for our API" - -### For Other AI Assistants - -1. **Install the MCP server**: - ```bash - npm install -g ai-software-architect - ``` - -2. **Configure your AI assistant** (see configuration sections above) - -3. **Test and use** (same as steps 2-3 above) - -## Available Tools (8 Core Tools) - -The MCP server provides 8 core tools corresponding to the framework's main capabilities: - -### `setup_architecture` -**Standard Command Equivalent**: "Setup ai-software-architect" - -Sets up the AI Software Architect framework in your project with full customization and analysis. - -**What it does:** -1. **Project Analysis** - Detects languages, frameworks, and architectural patterns -2. **Framework Installation** - Creates complete `.architecture/` structure -3. **Customization** - Tailors team members, principles, and templates to your stack -4. **Integration Setup** - Configures CLAUDE.md for AI assistant collaboration -5. **Initial Analysis** - Conducts multi-perspective architectural analysis -6. **Documentation** - Creates customized templates and principles - -**Parameters:** -- `projectPath` (string, required): Path to your project root directory - -**Creates:** -- `.architecture/` with subdirectories (decisions, reviews, recalibration, comparisons, templates) -- `.coding-assistants/` configuration directories -- `CLAUDE.md` integration (created or enhanced) -- `.architecture/reviews/initial-system-analysis.md` - Comprehensive initial assessment - -**MCP-Specific Features:** -- Advanced project analysis (language/framework detection) -- Automatic member customization based on tech stack -- Initial architectural analysis from all team members - -### `create_adr` -**Standard Command Equivalent**: "Create ADR for [decision topic]" - -Creates a new Architectural Decision Record with automatic numbering. - -**Parameters:** -- `title` (string, required): Title of the ADR -- `context` (string, required): Context and background for the decision -- `decision` (string, required): The architectural decision being made -- `consequences` (string, required): Consequences of this decision -- `projectPath` (string, required): Path to your project root directory - -**Creates:** -- `.architecture/decisions/adrs/ADR-XXX-title.md` with sequential numbering -- Formatted ADR with status, context, decision, and consequences - -**Example:** -```javascript -{ - title: "Use PostgreSQL for primary database", - context: "Need reliable ACID-compliant relational database with JSONB support", - decision: "Adopt PostgreSQL 15+ as primary database", - consequences: "Better data integrity, requires PostgreSQL expertise on team", - projectPath: "/path/to/project" -} -``` - -### `start_architecture_review` -**Standard Command Equivalent**: "Start architecture review for [version/feature]" - -Creates a comprehensive multi-perspective architecture review template. - -**Parameters:** -- `reviewTarget` (string, required): Version ('1.0.0') or feature name ('authentication') -- `projectPath` (string, required): Path to your project root directory - -**Creates:** -- `.architecture/reviews/[target].md` with sections for each team member -- Review template with individual perspectives and collaborative discussion sections - -**Note**: This tool creates the review template. You'll need to fill in the analysis for each team member. - -### `specialist_review` -**Standard Command Equivalent**: "Ask [Specialist Name] to review [target]" - -Creates a focused review template from a specific specialist's perspective. - -**Parameters:** -- `specialist` (string, required): Specialist name or role (e.g., 'Security Specialist', 'Performance Expert') -- `target` (string, required): What to review (e.g., 'API authentication', 'database queries') -- `projectPath` (string, required): Path to your project root directory - -**Creates:** -- `.architecture/reviews/specialist-[role]-[target].md` with specialist focus template - -**Behavior:** -- If specialist exists in `members.yml`: Uses their defined perspective -- If specialist doesn't exist: Returns error with list of available specialists - -**Note**: Unlike Claude Skills/Traditional methods, MCP does not auto-create missing specialists. - -### `list_architecture_members` -**Standard Command Equivalent**: "List architecture members" - -Lists all architecture team members with their specialties and domains. - -**Parameters:** -- `projectPath` (string, required): Path to your project root directory - -**Returns:** -- Formatted list of team members from `.architecture/members.yml` -- Each member's name, title, specialties, domains, and perspective - -### `get_architecture_status` -**Standard Command Equivalent**: "What's our architecture status?" - -Gets current state of architecture documentation with counts and metrics. - -**Parameters:** -- `projectPath` (string, required): Path to your project root directory - -**Returns:** -- ADR count (from `.architecture/decisions/adrs/`) -- Review count (from `.architecture/reviews/`) -- Team member count (from `.architecture/members.yml`) -- Framework setup status -- Available actions summary - -### `configure_pragmatic_mode` -**Standard Command Equivalent**: "Enable pragmatic mode" - -Enables and configures Pragmatic Mode (YAGNI Enforcement) to prevent over-engineering. - -**What it does:** -1. **Configuration Management** - Creates or updates `.architecture/config.yml` with pragmatic mode settings -2. **Mode Activation** - Enables/disables the Pragmatic Enforcer in reviews -3. **Intensity Control** - Sets how aggressively complexity is challenged -4. **Deferrals Setup** - Creates deferrals tracking file if enabled - -**Parameters:** -- `projectPath` (string, required): Path to your project root directory -- `enabled` (boolean, optional): Enable or disable Pragmatic Mode -- `intensity` (string, optional): Intensity level - "strict", "balanced", or "lenient" - -**Creates/Updates:** -- `.architecture/config.yml` - Pragmatic mode configuration -- `.architecture/deferrals.md` - Deferred decisions tracking (if enabled) - -**Behavior by Intensity:** -- **Strict**: Challenges aggressively, requires strong justification for any complexity -- **Balanced**: Thoughtful challenges, accepts justified complexity (recommended) -- **Lenient**: Raises concerns without blocking, suggests alternatives as options - -**When Pragmatic Mode is Enabled:** -The Pragmatic Enforcer participates in: -- Architecture reviews (`start_architecture_review`) -- Specialist reviews (`specialist_review`) -- ADR creation (`create_adr`) - -The Pragmatic Enforcer will: -- Challenge complexity and abstractions with structured questions -- Score necessity vs. complexity (target ratio <1.5) -- Propose simpler alternatives that meet current requirements -- Track deferred decisions with trigger conditions - -**Example:** -```javascript -{ - projectPath: "/path/to/project", - enabled: true, - intensity: "balanced" -} -``` - -**Note**: This tool provides the same pragmatic mode capabilities available in Claude Skills via the `pragmatic-guard` skill. - -### `pragmatic_enforcer` -**Standard Command Equivalent**: "Ask Pragmatic Enforcer to review..." - -Invokes the Pragmatic Enforcer to analyze proposals, code changes, designs, or architectural decisions for over-engineering and propose simpler alternatives. This tool allows selective pragmatic analysis independent of whether Pragmatic Mode is globally enabled. - -**What it does:** -1. **Load Configuration** - Reads current pragmatic mode settings (intensity, exemptions, thresholds) -2. **Provide Framework** - Presents structured analysis framework with key questions -3. **Guide Analysis** - Guides through necessity assessment, complexity assessment, and ratio calculation -4. **Template Output** - Provides structured template for consistent pragmatic reviews -5. **Context-Aware** - Adapts guidance based on review type and configured intensity - -**Parameters:** -- `projectPath` (string, required): Path to your project root directory -- `reviewType` (string, required): Type of review - one of: - - `"proposal"` - Architectural recommendation or suggestion - - `"code"` - Code changes or implementation - - `"design"` - Existing design or architecture - - `"decision"` - Architectural decision or ADR - - `"implementation"` - Feature implementation plan -- `target` (string, required): The content to review (proposal text, code snippet, design description, etc.) -- `context` (string, optional): Additional context about current requirements, constraints, or problem being solved -- `source` (string, optional): Source attribution (architect name, file path, PR number, etc.) - -**Output Provides:** -- Key questions framework (necessity, simplicity, cost, alternatives, best practices) -- Structured analysis template with scoring guidelines -- Complexity-to-necessity ratio calculation guide (target < 1.5) -- Recommendation options (Implement Now / Simplified Version / Defer / Skip) -- Intensity-specific guidance based on configuration -- Exemption checks for security, compliance, accessibility - -**Review Types Explained:** -- **proposal**: Use for architectural recommendations from other architects or team members -- **code**: Use for reviewing actual code changes or implementations for over-engineering -- **design**: Use for analyzing existing architectural designs or patterns -- **decision**: Use for reviewing architectural decisions before documenting in ADRs -- **implementation**: Use for analyzing feature implementation plans or technical approaches - -**Example:** -```javascript -{ - projectPath: "/path/to/project", - reviewType: "proposal", - target: "We should implement a microservices architecture with event sourcing, CQRS, and a service mesh for inter-service communication", - context: "Current system is a monolith with 50k LOC serving 500 users. Performance is acceptable.", - source: "Lead Architect" -} -``` - -**Benefits:** -- **Selective Application**: Use pragmatic analysis only when needed, without enabling globally -- **Structured Reviews**: Consistent framework ensures thorough analysis -- **Educational**: Helps teams learn YAGNI principles through guided analysis -- **Flexible**: Works with any review type - proposals, code, designs, decisions, implementations -- **Context-Aware**: Adapts to project's intensity settings and exemptions - -**Note**: This tool can be used even when Pragmatic Mode is disabled in config.yml. It provides the analysis framework and guidance, allowing you or your AI assistant to perform pragmatic reviews on-demand. - -## Usage Examples - -Once configured, you can use these tools through your AI assistant: - -### Setup -``` -Use the setup_architecture tool to set up the framework in my current project at /Users/me/projects/myapp -``` - -### Create an ADR -``` -Use the create_adr tool with: -- title: "Use PostgreSQL for primary database" -- context: "Need ACID compliance and JSONB support for semi-structured data" -- decision: "Adopt PostgreSQL 15+ as our primary database" -- consequences: "Improves data integrity and flexibility, requires PostgreSQL expertise" -- projectPath: /Users/me/projects/myapp -``` - -### Start a Review -``` -Use the start_architecture_review tool to review version 2.0.0 of our system at /Users/me/projects/myapp -``` - -### Get Specialist Input -``` -Use the specialist_review tool with: -- specialist: "Security Specialist" -- target: "API authentication system" -- projectPath: /Users/me/projects/myapp -``` - -### Check Status -``` -Use the get_architecture_status tool to see the current state of architecture documentation at /Users/me/projects/myapp -``` - -### Enable Pragmatic Mode -``` -Use the configure_pragmatic_mode tool with: -- projectPath: /Users/me/projects/myapp -- enabled: true -- intensity: "balanced" -``` - -### Use Pragmatic Enforcer -``` -Use the pragmatic_enforcer tool with: -- projectPath: /Users/me/projects/myapp -- reviewType: "code" -- target: "[paste code changes or proposal here]" -- context: "This is for handling user uploads in our MVP" -- source: "PR #123" -``` - -### Example Workflow - -**Complete Setup and First Review**: -``` -1. Use setup_architecture tool (sets up framework, analyzes project, creates initial review) -2. Review the initial analysis in .architecture/reviews/initial-system-analysis.md -3. Use create_adr to document key existing decisions -4. Use list_architecture_members to see your customized team -5. Use get_architecture_status to verify setup -``` - -**Pre-Release Review Workflow**: -``` -1. Use get_architecture_status to check current state -2. Use start_architecture_review for version 2.0.0 -3. Fill in team member perspectives in the created template -4. Use create_adr for any new decisions identified -``` - -## Feature Parity - -The MCP server provides all 8 core framework tools with full feature parity to Claude Skills: - -### ✅ Fully Supported Features -- **Setup Architecture**: With advanced project analysis and initial system analysis -- **Create ADR**: With automatic numbering -- **Architecture Review**: Template creation with all team members -- **Specialist Review**: Focused review templates -- **List Members**: Complete team roster -- **Get Status**: Documentation metrics and health -- **Pragmatic Mode**: Full config.yml reading, mode configuration, and YAGNI enforcement - -### ⚠️ Partially Supported Features -- **Input Validation**: Basic filename sanitization (no security-focused validation guidance) -- **Review Generation**: Creates templates (manual completion required vs. AI-generated) - -### ❌ Not Yet Supported Features -- **Dynamic Member Creation**: Returns error for missing specialists (vs. auto-creating them) -- **Recalibration Process**: No tool for architecture recalibration -- **Health Analysis**: Basic status counts only (no health scoring or recommendations) - -### MCP-Specific Advantages -- **Advanced Project Analysis**: Best-in-class language/framework detection -- **Initial System Analysis**: Automatically created during setup -- **Programmatic Access**: Can be called from scripts and automation -- **Precise Control**: Exact parameters for each tool - -### Comparison with Other Methods - -| Feature | MCP Server | Claude Skills | Traditional | -|---------|-----------|---------------|-------------| -| Core Tools (7) | ✅ All | ✅ All | ✅ All | -| Pragmatic Mode | ✅ | ✅ | ✅ | -| Dynamic Members | ❌ | ✅ | ✅ | -| Recalibration | ❌ | ⚠️ Planned | ✅ | -| Initial Analysis | ✅ Best | ❌ | ✅ | -| Input Validation | ⚠️ Basic | ✅ Comprehensive | ❌ | -| Setup Complexity | ⭐⭐ Medium | ⭐ Simple | ⭐ Simple | -| Programmatic Use | ✅ Best | ❌ | ❌ | - -For complete feature comparison, see [main README](../README.md#integration-method-comparison) and [Feature Parity Analysis](../.architecture/reviews/feature-parity-analysis.md). - -### Roadmap - -**Planned Improvements** (Priority: High): -1. Add dynamic member creation (auto-create missing specialists) -2. Add recalibration tool (parse reviews, generate action plans) -3. Enhance input validation (security-focused checks) -4. Add health analysis to status tool (documentation completeness scoring) - -**Recently Completed**: -- ✅ Pragmatic mode support (configure_pragmatic_mode tool) - Full config.yml reading and YAGNI enforcement - -## Development - -To modify or extend the server: - -1. Edit `index.js` to add new tools or modify existing ones -2. Update the tool schemas in the `ListToolsRequestSchema` handler -3. Add corresponding implementation methods -4. Test with `npm start` - -**Contributing**: Contributions welcome! Priority areas: -- Pragmatic mode integration -- Dynamic member creation -- Recalibration tool implementation -- Enhanced validation and error handling - -## Directory Structure - -The MCP server creates and manages this structure in your project: - -``` -.architecture/ -├── decisions/ -│ ├── adrs/ # Architectural Decision Records -│ └── principles.md # Architectural principles document -├── reviews/ # Architecture review documents -├── recalibration/ # Recalibration plans and tracking -├── comparisons/ # Version-to-version comparisons -├── docs/ # General architecture documentation -├── templates/ # Templates for various documents -└── members.yml # Architecture review team members -``` - -## Alternative Integration Methods - -If the MCP server doesn't fit your needs, consider these alternatives: - -### Claude Skills (Recommended for Claude Code users) -- **Installation**: Copy skills to `~/.claude/skills/` -- **Advantages**: Simpler setup, no dependencies, automatic invocation, all advanced features -- **Documentation**: [USAGE-WITH-CLAUDE-SKILLS.md](../USAGE-WITH-CLAUDE-SKILLS.md) - -### Traditional CLAUDE.md Method (Recommended for multi-assistant) -- **Installation**: Clone repository and add to CLAUDE.md -- **Advantages**: Works with all AI assistants, maximum flexibility, complete feature set -- **Documentation**: [USAGE-WITH-CLAUDE.md](../USAGE-WITH-CLAUDE.md), [USAGE-WITH-CURSOR.md](../USAGE-WITH-CURSOR.md), [USAGE-WITH-CODEX.md](../USAGE-WITH-CODEX.md) - -### Feature Comparison -See [main README](../README.md#integration-method-comparison) for detailed feature comparison matrix. - -## Troubleshooting - -**MCP server not connecting**: -- Verify installation: `which mcp` or `npm list -g ai-software-architect` -- Check configuration file syntax (valid JSON) -- Restart your AI assistant after configuration changes -- Check logs: MCP server outputs to stderr - -**Tools not appearing**: -- Ensure MCP server is running: Check assistant's MCP status -- Verify configuration points to correct command/path -- Check Node.js version: Requires Node.js ≥18 - -**Permission errors**: -- Ensure project path is accessible -- Check file permissions in `.architecture/` directory -- Verify write permissions for creating files - -**Missing specialists in specialist_review**: -- MCP server doesn't auto-create specialists -- Manually add to `.architecture/members.yml` or -- Use Claude Skills/Traditional method for auto-creation - -## Support - -- **Issues**: https://github.com/codenamev/ai-software-architect/issues -- **Documentation**: See repository root for full documentation -- **Feature Requests**: Open an issue with [Feature Request] prefix - -## License - -MIT \ No newline at end of file diff --git a/.architecture/mcp/index.js b/.architecture/mcp/index.js deleted file mode 100644 index 8273d32..0000000 --- a/.architecture/mcp/index.js +++ /dev/null @@ -1,1823 +0,0 @@ -#!/usr/bin/env node - -import { Server } from "@modelcontextprotocol/sdk/server/index.js"; -import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; -import { - CallToolRequestSchema, - ListToolsRequestSchema, -} from "@modelcontextprotocol/sdk/types.js"; -import fs from "fs-extra"; -import path from "path"; -import yaml from "yaml"; -import { execSync } from "child_process"; -import { fileURLToPath } from "url"; - -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -class ArchitectureServer { - constructor() { - this.server = new Server( - { - name: "ai-software-architect", - version: "1.3.0", - }, - { - capabilities: { - tools: {}, - }, - } - ); - - this.setupToolHandlers(); - this.setupErrorHandling(); - } - - setupErrorHandling() { - this.server.onerror = (error) => console.error("[MCP Error]", error); - process.on("SIGINT", async () => { - await this.server.close(); - process.exit(0); - }); - } - - setupToolHandlers() { - this.server.setRequestHandler(ListToolsRequestSchema, async () => { - return { - tools: [ - { - name: "setup_architecture", - description: "Set up the AI Software Architect framework in the current project", - inputSchema: { - type: "object", - properties: { - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - }, - required: ["projectPath"], - }, - }, - { - name: "create_adr", - description: "Create an Architectural Decision Record (ADR)", - inputSchema: { - type: "object", - properties: { - title: { - type: "string", - description: "Title of the ADR", - }, - context: { - type: "string", - description: "Context and background for the decision", - }, - decision: { - type: "string", - description: "The architectural decision being made", - }, - consequences: { - type: "string", - description: "Consequences of this decision", - }, - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - }, - required: ["title", "context", "decision", "consequences", "projectPath"], - }, - }, - { - name: "start_architecture_review", - description: "Start a comprehensive architecture review", - inputSchema: { - type: "object", - properties: { - reviewTarget: { - type: "string", - description: "What to review (version number like '1.0.0' or feature name)", - }, - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - }, - required: ["reviewTarget", "projectPath"], - }, - }, - { - name: "specialist_review", - description: "Get a review from a specific architecture specialist", - inputSchema: { - type: "object", - properties: { - specialist: { - type: "string", - description: "Name or type of specialist (e.g., 'Security Architect', 'Performance Specialist')", - }, - target: { - type: "string", - description: "What to review (code, design, component, etc.)", - }, - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - }, - required: ["specialist", "target", "projectPath"], - }, - }, - { - name: "list_architecture_members", - description: "List all available architecture team members and their specialties", - inputSchema: { - type: "object", - properties: { - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - }, - required: ["projectPath"], - }, - }, - { - name: "get_architecture_status", - description: "Get the current status of architecture documentation and decisions", - inputSchema: { - type: "object", - properties: { - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - }, - required: ["projectPath"], - }, - }, - { - name: "configure_pragmatic_mode", - description: "Enable and configure Pragmatic Mode (YAGNI Enforcement) to prevent over-engineering", - inputSchema: { - type: "object", - properties: { - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - enabled: { - type: "boolean", - description: "Enable or disable Pragmatic Mode", - }, - intensity: { - type: "string", - description: "Intensity level: 'strict', 'balanced', or 'lenient'", - enum: ["strict", "balanced", "lenient"], - }, - }, - required: ["projectPath"], - }, - }, - { - name: "pragmatic_enforcer", - description: "Invoke the Pragmatic Enforcer to analyze proposals, code changes, designs, or architectural decisions for over-engineering and propose simpler alternatives", - inputSchema: { - type: "object", - properties: { - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - reviewType: { - type: "string", - description: "Type of review: 'proposal' (architectural recommendation), 'code' (code changes), 'design' (existing design), 'decision' (architectural decision), or 'implementation' (feature implementation)", - enum: ["proposal", "code", "design", "decision", "implementation"], - }, - target: { - type: "string", - description: "The content to review (proposal text, code snippet, design description, decision description, or implementation plan)", - }, - context: { - type: "string", - description: "Optional context: current requirements, constraints, why this is being proposed, what problem it solves", - }, - source: { - type: "string", - description: "Optional: Who/what is the source (architect name, file path, PR number, etc.)", - }, - }, - required: ["projectPath", "reviewType", "target"], - }, - }, - { - name: "get_implementation_guidance", - description: "Get implementation methodology, influences, and practices configuration for 'Implement as the architects' command. Returns configured methodology (TDD, BDD, etc.), influences (Kent Beck, Sandi Metz, etc.), language-specific practices, testing approach, refactoring guidelines, and quality standards.", - inputSchema: { - type: "object", - properties: { - projectPath: { - type: "string", - description: "Path to the project root directory", - }, - featureDescription: { - type: "string", - description: "Optional: Description of the feature being implemented (for context-specific guidance)", - }, - }, - required: ["projectPath"], - }, - }, - ], - }; - }); - - this.server.setRequestHandler(CallToolRequestSchema, async (request) => { - const { name, arguments: args } = request.params; - - try { - switch (name) { - case "setup_architecture": - return await this.setupArchitecture(args); - case "create_adr": - return await this.createADR(args); - case "start_architecture_review": - return await this.startArchitectureReview(args); - case "specialist_review": - return await this.specialistReview(args); - case "list_architecture_members": - return await this.listArchitectureMembers(args); - case "get_architecture_status": - return await this.getArchitectureStatus(args); - case "configure_pragmatic_mode": - return await this.configurePragmaticMode(args); - case "pragmatic_enforcer": - return await this.pragmaticEnforcer(args); - case "get_implementation_guidance": - return await this.getImplementationGuidance(args); - default: - throw new Error(`Unknown tool: ${name}`); - } - } catch (error) { - return { - content: [ - { - type: "text", - text: `Error: ${error.message}`, - }, - ], - isError: true, - }; - } - }); - } - - async setupArchitecture(args) { - const { projectPath } = args; - const architecturePath = path.join(projectPath, ".architecture"); - const codingAssistantsPath = path.join(projectPath, ".coding-assistants"); - const claudeMdPath = path.join(projectPath, "CLAUDE.md"); - - try { - // Check if .architecture already exists - if (await fs.pathExists(architecturePath)) { - return { - content: [ - { - type: "text", - text: "Architecture framework is already set up in this project. Use get_architecture_status to see current state.", - }, - ], - }; - } - - const results = []; - results.push("🚀 Setting up AI Software Architect framework..."); - - // Step 1: Analyze target project - results.push("\n📊 Analyzing project structure..."); - const projectAnalysis = await this.analyzeProject(projectPath); - results.push(`- Detected languages: ${projectAnalysis.languages.join(', ')}`); - results.push(`- Framework: ${projectAnalysis.framework || 'None detected'}`); - results.push(`- Package manager: ${projectAnalysis.packageManager || 'None detected'}`); - - // Step 2: Clone framework if needed (simulate by copying from parent directory) - const frameworkSourcePath = path.resolve(__dirname, '..'); - const tempClonePath = path.join(projectPath, '.architecture-temp'); - - results.push("\n📦 Installing framework templates..."); - - // Copy framework files to temp location - await fs.copy(frameworkSourcePath, tempClonePath, { - filter: (src) => { - const relativePath = path.relative(frameworkSourcePath, src); - // Skip git, node_modules, and other non-template files - return !relativePath.match(/^(.git|\.git|node_modules|mcp\/node_modules)/) - && !relativePath.includes('README.md') - && !relativePath.includes('USAGE') - && !relativePath.includes('INSTALL.md'); - } - }); - - // Step 3: Move framework files to proper location - const frameworkFiles = path.join(tempClonePath, '.architecture'); - if (await fs.pathExists(frameworkFiles)) { - await fs.move(frameworkFiles, architecturePath); - } else { - // Create structure if no .architecture exists in source - await this.createArchitectureStructure(architecturePath); - } - - // Step 4: Create .coding-assistants structure - await fs.ensureDir(path.join(codingAssistantsPath, "claude")); - await fs.ensureDir(path.join(codingAssistantsPath, "cursor")); - await fs.ensureDir(path.join(codingAssistantsPath, "codex")); - - // Step 5: Customize members.yml based on project analysis - results.push("\n👥 Customizing architecture team..."); - await this.customizeMembers(architecturePath, projectAnalysis); - - // Step 6: Customize principles based on project - results.push("\n📋 Customizing architectural principles..."); - await this.customizePrinciples(architecturePath, projectAnalysis); - - // Step 7: Set up templates - results.push("\n📄 Setting up templates..."); - await this.setupTemplates(architecturePath, projectAnalysis); - - // Step 8: Update CLAUDE.md if it exists - results.push("\n📝 Configuring CLAUDE.md integration..."); - await this.setupClaudeIntegration(claudeMdPath); - - // Step 9: Cleanup temporary files - await fs.remove(tempClonePath); - - // Step 10: Conduct initial architectural analysis - results.push("\n🔍 Conducting initial architectural analysis..."); - await this.conductInitialAnalysis(architecturePath, projectPath, projectAnalysis); - - results.push("\n✅ Framework setup complete!"); - results.push("\n🎯 Next steps:"); - results.push("- Review .architecture/reviews/initial-system-analysis.md"); - results.push("- Customize .architecture/members.yml for your team"); - results.push("- Create your first ADR with create_adr"); - results.push("- Start architecture reviews with start_architecture_review"); - - return { - content: [ - { - type: "text", - text: results.join('\n'), - }, - ], - }; - } catch (error) { - throw new Error(`Failed to set up architecture: ${error.message}`); - } - } - - async analyzeProject(projectPath) { - const analysis = { - languages: [], - framework: null, - packageManager: null, - architecture: 'unknown', - hasTests: false, - hasCI: false - }; - - try { - const files = await fs.readdir(projectPath); - - // Detect languages and frameworks - if (files.includes('package.json')) { - analysis.packageManager = 'npm'; - analysis.languages.push('JavaScript'); - const packageJson = await fs.readJson(path.join(projectPath, 'package.json')); - - // Detect frameworks - const deps = { ...packageJson.dependencies, ...packageJson.devDependencies }; - if (deps.react) analysis.framework = 'React'; - else if (deps.vue) analysis.framework = 'Vue'; - else if (deps.angular) analysis.framework = 'Angular'; - else if (deps.express) analysis.framework = 'Express'; - else if (deps.next) analysis.framework = 'Next.js'; - - if (deps.typescript || files.includes('tsconfig.json')) { - analysis.languages.push('TypeScript'); - } - } - - if (files.includes('Gemfile') || files.includes('Rakefile')) { - analysis.languages.push('Ruby'); - analysis.packageManager = 'bundler'; - if (files.includes('config/application.rb')) analysis.framework = 'Rails'; - } - - if (files.includes('requirements.txt') || files.includes('pyproject.toml') || files.includes('setup.py')) { - analysis.languages.push('Python'); - analysis.packageManager = 'pip'; - if (files.includes('manage.py')) analysis.framework = 'Django'; - else if (files.includes('app.py')) analysis.framework = 'Flask'; - } - - if (files.includes('pom.xml')) { - analysis.languages.push('Java'); - analysis.packageManager = 'maven'; - analysis.framework = 'Spring Boot'; - } - - if (files.includes('Cargo.toml')) { - analysis.languages.push('Rust'); - analysis.packageManager = 'cargo'; - } - - if (files.includes('go.mod')) { - analysis.languages.push('Go'); - analysis.packageManager = 'go mod'; - } - - // Check for tests - analysis.hasTests = files.some(f => f.includes('test') || f.includes('spec')) || - await fs.pathExists(path.join(projectPath, 'tests')) || - await fs.pathExists(path.join(projectPath, 'test')); - - // Check for CI - analysis.hasCI = await fs.pathExists(path.join(projectPath, '.github', 'workflows')) || - await fs.pathExists(path.join(projectPath, '.gitlab-ci.yml')) || - files.includes('.travis.yml'); - - if (analysis.languages.length === 0) { - analysis.languages.push('Multiple/Unknown'); - } - - } catch (error) { - console.error('Error analyzing project:', error); - } - - return analysis; - } - - async createArchitectureStructure(architecturePath) { - await fs.ensureDir(path.join(architecturePath, "decisions", "adrs")); - await fs.ensureDir(path.join(architecturePath, "reviews")); - await fs.ensureDir(path.join(architecturePath, "recalibration")); - await fs.ensureDir(path.join(architecturePath, "comparisons")); - await fs.ensureDir(path.join(architecturePath, "agent_docs")); - await fs.ensureDir(path.join(architecturePath, "templates")); - } - - async customizeMembers(architecturePath, analysis) { - const members = [ - { - id: "systems_architect", - name: "Systems Architect", - title: "Senior Systems Architect", - specialties: ["System Design", "Scalability", "Integration Patterns"], - disciplines: ["Software Architecture", "Systems Engineering", "Platform Design"], - skillsets: ["Microservices", "Event-Driven Architecture", "API Design"], - domains: ["Enterprise Systems", "Distributed Systems", "Cloud Architecture"], - perspective: "Focuses on overall system structure, scalability, and integration patterns" - }, - { - id: "security_architect", - name: "Security Architect", - title: "Security Architecture Specialist", - specialties: ["Security Design", "Threat Modeling", "Compliance"], - disciplines: ["Security Engineering", "Risk Assessment", "Privacy Engineering"], - skillsets: ["Authentication", "Authorization", "Encryption", "Security Patterns"], - domains: ["Application Security", "Infrastructure Security", "Data Protection"], - perspective: "Evaluates security implications and ensures secure design patterns" - }, - { - id: "performance_specialist", - name: "Performance Specialist", - title: "Performance Engineering Expert", - specialties: ["Performance Optimization", "Scalability", "Resource Management"], - disciplines: ["Performance Engineering", "Load Testing", "Profiling"], - skillsets: ["Caching", "Database Optimization", "CDN", "Monitoring"], - domains: ["Web Performance", "Database Performance", "Infrastructure Performance"], - perspective: "Focuses on system performance, bottlenecks, and optimization opportunities" - }, - { - id: "maintainability_expert", - name: "Maintainability Expert", - title: "Code Quality and Maintainability Specialist", - specialties: ["Code Quality", "Technical Debt", "Refactoring"], - disciplines: ["Software Engineering", "Code Review", "Testing"], - skillsets: ["Clean Code", "Design Patterns", "Automated Testing", "Documentation"], - domains: ["Code Quality", "Developer Experience", "Long-term Maintenance"], - perspective: "Evaluates code maintainability, technical debt, and developer productivity" - } - ]; - - // Add language-specific experts based on analysis - if (analysis.languages.includes('JavaScript') || analysis.languages.includes('TypeScript')) { - members.push({ - id: "javascript_expert", - name: "JavaScript Expert", - title: "JavaScript/TypeScript Specialist", - specialties: ["JavaScript Patterns", "TypeScript", "Modern JS"], - disciplines: ["Frontend Architecture", "Node.js", "Package Management"], - skillsets: ["ES6+", "Async Programming", "Module Systems", "Build Tools"], - domains: ["Frontend Development", "Node.js Backend", "Full-stack JavaScript"], - perspective: "Evaluates JavaScript/TypeScript code quality, patterns, and best practices" - }); - } - - if (analysis.framework) { - const frameworkId = analysis.framework.toLowerCase().replace(/[^a-z0-9]/g, '_'); - members.push({ - id: `${frameworkId}_specialist`, - name: `${analysis.framework} Specialist`, - title: `${analysis.framework} Architecture Expert`, - specialties: [`${analysis.framework} Patterns`, "Framework Best Practices", "Performance"], - disciplines: ["Framework Architecture", "Component Design", "State Management"], - skillsets: ["Framework APIs", "Ecosystem Tools", "Performance Optimization"], - domains: [`${analysis.framework} Applications`, "Framework Patterns", "Best Practices"], - perspective: `Evaluates ${analysis.framework} architecture, patterns, and framework-specific best practices` - }); - } - - const membersData = { members }; - await fs.writeFile( - path.join(architecturePath, "members.yml"), - yaml.stringify(membersData) - ); - } - - async customizePrinciples(architecturePath, analysis) { - let principlesContent = `# Architectural Principles - -## Core Principles - -1. **Simplicity First** - Choose the simplest solution that meets requirements -2. **Maintainability** - Code should be easy to understand and modify -3. **Scalability** - Design for growth and changing requirements -4. **Security by Design** - Security considerations integrated from the start -5. **Performance Awareness** - Consider performance implications of decisions`; - - // Add framework-specific principles - if (analysis.framework) { - principlesContent += ` -6. **${analysis.framework} Best Practices** - Follow established ${analysis.framework} patterns and conventions`; - } - - if (analysis.hasTests) { - principlesContent += ` -7. **Test-Driven Architecture** - Design for testability and maintain comprehensive test coverage`; - } - - principlesContent += ` - -## Technology-Specific Guidelines - -### Languages: ${analysis.languages.join(', ')} -`; - - if (analysis.framework) { - principlesContent += `### Framework: ${analysis.framework} -- Follow ${analysis.framework} architectural patterns -- Leverage framework-specific optimization techniques -- Maintain framework version compatibility - -`; - } - - principlesContent += `## Decision Making Process - -- Document significant architectural decisions as ADRs -- Conduct regular architecture reviews -- Involve relevant specialists in decision-making -- Consider long-term implications -- Align with project technology stack: ${analysis.languages.join(', ')}`; - - if (analysis.packageManager) { - principlesContent += ` -- Follow ${analysis.packageManager} dependency management best practices`; - } - - await fs.writeFile( - path.join(architecturePath, "decisions", "principles.md"), - principlesContent - ); - } - - async setupTemplates(architecturePath, analysis) { - const templatesPath = path.join(architecturePath, "templates"); - - // ADR Template - const adrTemplate = `# ADR [NUMBER]: [TITLE] - -## Status - -Proposed | Accepted | Superseded | Deprecated - -## Context - -[Describe the context and problem statement] - -## Decision Drivers - -- [Driver 1] -- [Driver 2] -- [Driver 3] - -## Considered Options - -- [Option 1] -- [Option 2] -- [Option 3] - -## Decision Outcome - -[Chosen option and justification] - -### Positive Consequences - -- [Positive consequence 1] -- [Positive consequence 2] - -### Negative Consequences - -- [Negative consequence 1] -- [Negative consequence 2] - -## Implementation - -[Implementation approach and timeline] - -## Validation - -[How to validate this decision] - -## References - -- [Reference 1] -- [Reference 2] -`; - - await fs.writeFile(path.join(templatesPath, "adr.md"), adrTemplate); - - // Review Template - const reviewTemplate = `# Architecture Review: [TARGET] - -## Review Overview - -**Target**: [Version/Feature/Component] -**Date**: [Date] -**Participants**: [List of participants] -**Review Type**: [Version/Feature/Component] - -## Executive Summary - -[High-level findings and recommendations] - -## Individual Member Reviews - -[Individual perspective sections will be added here] - -## Collaborative Discussion - -### Key Findings -- [Finding 1] -- [Finding 2] - -### Consensus Points -- [Point 1] -- [Point 2] - -### Areas of Disagreement -- [Disagreement 1 and resolution] - -## Technical Debt Assessment - -### Current Technical Debt -- [Debt item 1] -- [Debt item 2] - -### Proposed Debt Resolution -- [Resolution approach 1] -- [Resolution approach 2] - -## Risk Analysis - -### High Risk Areas -- [Risk 1] -- [Risk 2] - -### Medium Risk Areas -- [Risk 1] -- [Risk 2] - -### Risk Mitigation Strategies -- [Strategy 1] -- [Strategy 2] - -## Recommendations - -### High Priority (Immediate) -- [Recommendation 1] -- [Recommendation 2] - -### Medium Priority (Next Release) -- [Recommendation 1] -- [Recommendation 2] - -### Low Priority (Future) -- [Recommendation 1] -- [Recommendation 2] - -## Architecture Metrics - -[Relevant metrics and measurements] - -## Next Steps - -1. [Step 1] -2. [Step 2] -3. [Step 3] - -## Appendices - -### Architecture Diagrams -[Include relevant diagrams] - -### Reference Materials -- [Reference 1] -- [Reference 2] - -## Sign-off - -- [ ] Systems Architect -- [ ] Security Architect -- [ ] [Other team members] -`; - - await fs.writeFile(path.join(templatesPath, "review.md"), reviewTemplate); - } - - async setupClaudeIntegration(claudeMdPath) { - const frameworkInstructions = ` - -## AI Software Architect Framework - -This project uses the AI Software Architect framework for structured architecture management. - -### Framework Usage -- **Architecture Reviews**: "Start architecture review for version X.Y.Z" or "Review architecture for 'component'" -- **Specialized Reviews**: "Ask Security Architect to review these code changes" -- **ADR Creation**: "Create an ADR for 'topic'" -- **Recalibration**: "Start architecture recalibration for 'feature name'" - -### Framework Structure -- \`.architecture/decisions/\` - Architectural Decision Records and principles -- \`.architecture/reviews/\` - Architecture review documents -- \`.architecture/recalibration/\` - Implementation plans from reviews -- \`.architecture/members.yml\` - Architecture team member definitions - -Refer to \`.architecture/decisions/principles.md\` for architectural guidance. -`; - - if (await fs.pathExists(claudeMdPath)) { - const existingContent = await fs.readFile(claudeMdPath, 'utf8'); - if (!existingContent.includes('AI Software Architect Framework')) { - await fs.appendFile(claudeMdPath, frameworkInstructions); - } - } else { - await fs.writeFile(claudeMdPath, `# CLAUDE.md - -Project instructions for Claude Code.${frameworkInstructions}`); - } - } - - async conductInitialAnalysis(architecturePath, projectPath, analysis) { - const analysisContent = `# Initial System Architecture Analysis - -**Date**: ${new Date().toISOString().split('T')[0]} -**Analyzed by**: AI Software Architect Framework (Initial Setup) - -## Project Overview - -**Languages**: ${analysis.languages.join(', ')} -**Framework**: ${analysis.framework || 'None detected'} -**Package Manager**: ${analysis.packageManager || 'None detected'} -**Has Tests**: ${analysis.hasTests ? 'Yes' : 'No'} -**Has CI/CD**: ${analysis.hasCI ? 'Yes' : 'No'} - -## Systems Architect Analysis - -### System Structure -- Primary languages: ${analysis.languages.join(', ')} -${analysis.framework ? `- Framework architecture: ${analysis.framework}` : ''} -- Testing strategy: ${analysis.hasTests ? 'Present' : 'Needs Implementation'} -- CI/CD pipeline: ${analysis.hasCI ? 'Configured' : 'Not Detected'} - -### Architectural Strengths -- Technology stack appears modern and well-supported -${analysis.framework ? `- Using established framework (${analysis.framework}) with strong community support` : ''} -${analysis.hasTests ? '- Testing infrastructure in place' : ''} - -### Areas for Improvement -${!analysis.hasTests ? '- Consider implementing comprehensive testing strategy' : ''} -${!analysis.hasCI ? '- Consider setting up CI/CD pipeline for automated quality checks' : ''} -- Document architectural decisions as the system evolves - -## Security Architect Analysis - -### Security Considerations -- Framework security: ${analysis.framework ? `Review ${analysis.framework} security best practices` : 'Ensure secure coding practices'} -- Dependency management: Regular security updates for ${analysis.packageManager || 'dependencies'} -- Authentication/authorization patterns need architectural definition - -### Security Recommendations -- Establish security review process for architectural changes -- Document authentication and authorization patterns -- Implement security scanning in development workflow - -## Performance Specialist Analysis - -### Performance Baseline -- Technology stack: Generally performant with ${analysis.languages.join(' and ')} -${analysis.framework ? `- ${analysis.framework} performance characteristics should be monitored` : ''} - -### Performance Recommendations -- Establish performance monitoring and metrics -- Define performance requirements for key user journeys -- Consider performance implications in architectural decisions - -## Maintainability Expert Analysis - -### Code Quality Assessment -- Modern technology stack supports good maintainability practices -${analysis.hasTests ? '- Existing test infrastructure supports maintainable code' : ''} - -### Maintainability Recommendations -- Document coding standards and conventions -- Establish code review process -- Regular refactoring to manage technical debt - -## Collaborative Findings - -### Immediate Priorities -1. Document current architectural decisions and patterns -2. Establish development and deployment standards -${!analysis.hasTests ? '3. Implement testing strategy' : ''} -${!analysis.hasCI ? '3. Set up CI/CD pipeline' : ''} - -### Medium-term Goals -1. Regular architecture reviews as system evolves -2. Performance monitoring and optimization -3. Security architecture documentation - -### Long-term Considerations -1. Scalability planning as system grows -2. Technology stack evolution strategy -3. Team knowledge sharing and documentation - -## Next Steps - -1. **Immediate**: Review and customize architectural principles in \`.architecture/decisions/principles.md\` -2. **Week 1**: Create ADRs for current major architectural decisions -3. **Month 1**: Establish regular architecture review schedule -4. **Ongoing**: Use framework for all significant architectural decisions - -## Framework Integration - -The AI Software Architect framework has been configured with: -- Architecture team members relevant to your technology stack -- Customized principles based on detected technologies -- Templates ready for ADRs and reviews -- CLAUDE.md integration for AI assistant collaboration - ---- - -*This analysis was generated during framework setup. Update and extend as your understanding of the system grows.* -`; - - await fs.writeFile( - path.join(architecturePath, "reviews", "initial-system-analysis.md"), - analysisContent - ); - } - - async createADR(args) { - const { title, context, decision, consequences, projectPath } = args; - const architecturePath = path.join(projectPath, ".architecture"); - - if (!(await fs.pathExists(architecturePath))) { - throw new Error("Architecture framework not set up. Run setup_architecture first."); - } - - const adrsPath = path.join(architecturePath, "decisions", "adrs"); - - // Get next ADR number - const existingADRs = await fs.readdir(adrsPath).catch(() => []); - const adrNumbers = existingADRs - .filter(file => file.match(/^\d+/)) - .map(file => parseInt(file.match(/^(\d+)/)[1])) - .sort((a, b) => a - b); - - const nextNumber = adrNumbers.length > 0 ? Math.max(...adrNumbers) + 1 : 1; - const adrFilename = `${nextNumber.toString().padStart(4, '0')}-${title.toLowerCase().replace(/\s+/g, '-')}.md`; - - const adrContent = `# ADR ${nextNumber}: ${title} - -## Status - -Proposed - -## Context - -${context} - -## Decision - -${decision} - -## Consequences - -${consequences} - -## Date - -${new Date().toISOString().split('T')[0]} -`; - - await fs.writeFile(path.join(adrsPath, adrFilename), adrContent); - - return { - content: [ - { - type: "text", - text: `✅ ADR created successfully!\n\nFile: .architecture/decisions/adrs/${adrFilename}\nNumber: ${nextNumber}\nTitle: ${title}`, - }, - ], - }; - } - - async startArchitectureReview(args) { - const { reviewTarget, projectPath } = args; - const architecturePath = path.join(projectPath, ".architecture"); - - if (!(await fs.pathExists(architecturePath))) { - throw new Error("Architecture framework not set up. Run setup_architecture first."); - } - - const reviewsPath = path.join(architecturePath, "reviews"); - const membersPath = path.join(architecturePath, "members.yml"); - - // Load team members - let members = []; - if (await fs.pathExists(membersPath)) { - const membersContent = await fs.readFile(membersPath, 'utf8'); - const membersData = yaml.parse(membersContent); - members = membersData.members || []; - } - - const reviewFilename = `${reviewTarget.replace(/\s+/g, '-').toLowerCase()}.md`; - - const reviewContent = `# Architecture Review: ${reviewTarget} - -## Review Overview - -**Target**: ${reviewTarget} -**Date**: ${new Date().toISOString().split('T')[0]} -**Participants**: ${members.map(m => m.name).join(', ')} - -## Individual Member Reviews - -${members.map(member => ` -### ${member.name} (${member.title}) - -**Perspective**: ${member.perspective} - -**Areas of Focus**: ${member.specialties.join(', ')} - -**Findings**: -- [To be filled during review] - -**Recommendations**: -- [To be filled during review] - -**Risk Assessment**: -- [To be filled during review] - ---- -`).join('')} - -## Collaborative Discussion - -[Summary of team discussion and consensus findings] - -## Final Recommendations - -### High Priority -- [Critical items requiring immediate attention] - -### Medium Priority -- [Important improvements for near-term implementation] - -### Low Priority -- [Nice-to-have enhancements for future consideration] - -## Next Steps - -1. [Immediate actions] -2. [Short-term planning] -3. [Long-term considerations] - -## Sign-off - -- [ ] Systems Architect -- [ ] Security Architect -${members.filter(m => !['systems_architect', 'security_architect'].includes(m.id)).map(m => `- [ ] ${m.name}`).join('\n')} -`; - - await fs.writeFile(path.join(reviewsPath, reviewFilename), reviewContent); - - return { - content: [ - { - type: "text", - text: `✅ Architecture review started!\n\nReview document: .architecture/reviews/${reviewFilename}\nParticipants: ${members.map(m => m.name).join(', ')}\n\nThe review template has been created with sections for each team member. Fill in their individual perspectives, then complete the collaborative discussion and final recommendations.`, - }, - ], - }; - } - - async specialistReview(args) { - const { specialist, target, projectPath } = args; - const architecturePath = path.join(projectPath, ".architecture"); - - if (!(await fs.pathExists(architecturePath))) { - throw new Error("Architecture framework not set up. Run setup_architecture first."); - } - - const membersPath = path.join(architecturePath, "members.yml"); - - // Load team members to find specialist - let members = []; - if (await fs.pathExists(membersPath)) { - const membersContent = await fs.readFile(membersPath, 'utf8'); - const membersData = yaml.parse(membersContent); - members = membersData.members || []; - } - - // Find matching specialist - const member = members.find(m => - m.name.toLowerCase().includes(specialist.toLowerCase()) || - m.title.toLowerCase().includes(specialist.toLowerCase()) || - m.specialties.some(s => s.toLowerCase().includes(specialist.toLowerCase())) - ); - - if (!member) { - return { - content: [ - { - type: "text", - text: `❌ Specialist "${specialist}" not found in team members.\n\nAvailable specialists:\n${members.map(m => `- ${m.name} (${m.title}): ${m.specialties.join(', ')}`).join('\n')}\n\nUse list_architecture_members to see all available team members.`, - }, - ], - }; - } - - const reviewContent = `# Specialist Review: ${member.name} - -## Review Details - -**Specialist**: ${member.name} (${member.title}) -**Target**: ${target} -**Date**: ${new Date().toISOString().split('T')[0]} -**Perspective**: ${member.perspective} - -## Specialist Analysis - -### Areas of Expertise -${member.specialties.map(s => `- ${s}`).join('\n')} - -### Review Focus -${member.domains.map(d => `- ${d}`).join('\n')} - -### Key Findings - -#### Strengths -- [Identify positive aspects from specialist perspective] - -#### Concerns -- [Highlight areas of concern or risk] - -#### Gaps -- [Note missing elements or incomplete implementations] - -### Recommendations - -#### Immediate Actions -- [Critical items requiring prompt attention] - -#### Improvements -- [Enhancements to consider] - -#### Best Practices -- [Industry standards and recommended approaches] - -### Risk Assessment - -**Risk Level**: [High/Medium/Low] - -**Key Risks**: -- [List primary risks from specialist viewpoint] - -**Mitigation Strategies**: -- [Recommended approaches to address risks] - -## Summary - -[Concise summary of specialist findings and top recommendations] - ---- -**Specialist Sign-off**: ${member.name} -`; - - const reviewsPath = path.join(architecturePath, "reviews"); - const filename = `specialist-${member.id}-${target.replace(/\s+/g, '-').toLowerCase()}.md`; - - await fs.writeFile(path.join(reviewsPath, filename), reviewContent); - - return { - content: [ - { - type: "text", - text: `✅ Specialist review initiated!\n\n**Specialist**: ${member.name} (${member.title})\n**Focus Areas**: ${member.specialties.join(', ')}\n**Review Document**: .architecture/reviews/${filename}\n\nThe specialist review template has been created with sections tailored to ${member.name}'s expertise. Complete the analysis from their specialized perspective.`, - }, - ], - }; - } - - async listArchitectureMembers(args) { - const { projectPath } = args; - const membersPath = path.join(projectPath, ".architecture", "members.yml"); - - if (!(await fs.pathExists(membersPath))) { - return { - content: [ - { - type: "text", - text: "❌ No architecture team members found. Run setup_architecture first.", - }, - ], - }; - } - - const membersContent = await fs.readFile(membersPath, 'utf8'); - const membersData = yaml.parse(membersContent); - const members = membersData.members || []; - - if (members.length === 0) { - return { - content: [ - { - type: "text", - text: "No team members configured in .architecture/members.yml", - }, - ], - }; - } - - const membersList = members.map(member => - `**${member.name}** (${member.title})\n` + - ` - Specialties: ${member.specialties.join(', ')}\n` + - ` - Domains: ${member.domains.join(', ')}\n` + - ` - Perspective: ${member.perspective}\n` - ).join('\n'); - - return { - content: [ - { - type: "text", - text: `## Architecture Team Members\n\n${membersList}\n\nUse specialist_review with any of these specialists for focused reviews.`, - }, - ], - }; - } - - async getArchitectureStatus(args) { - const { projectPath } = args; - const architecturePath = path.join(projectPath, ".architecture"); - - if (!(await fs.pathExists(architecturePath))) { - return { - content: [ - { - type: "text", - text: "❌ Architecture framework not set up. Run setup_architecture to initialize.", - }, - ], - }; - } - - const status = { - setup: true, - adrs: 0, - reviews: 0, - members: 0, - }; - - // Count ADRs - const adrsPath = path.join(architecturePath, "decisions", "adrs"); - if (await fs.pathExists(adrsPath)) { - const adrFiles = await fs.readdir(adrsPath); - status.adrs = adrFiles.filter(f => f.endsWith('.md')).length; - } - - // Count reviews - const reviewsPath = path.join(architecturePath, "reviews"); - if (await fs.pathExists(reviewsPath)) { - const reviewFiles = await fs.readdir(reviewsPath); - status.reviews = reviewFiles.filter(f => f.endsWith('.md')).length; - } - - // Count members - const membersPath = path.join(architecturePath, "members.yml"); - if (await fs.pathExists(membersPath)) { - const membersContent = await fs.readFile(membersPath, 'utf8'); - const membersData = yaml.parse(membersContent); - status.members = (membersData.members || []).length; - } - - return { - content: [ - { - type: "text", - text: `## Architecture Framework Status\n\n✅ **Framework Setup**: Complete\n📋 **ADRs Created**: ${status.adrs}\n🔍 **Reviews Conducted**: ${status.reviews}\n👥 **Team Members**: ${status.members}\n\n### Available Actions\n- Use \`create_adr\` to document architectural decisions\n- Use \`start_architecture_review\` for comprehensive reviews\n- Use \`specialist_review\` for focused specialist input\n- Use \`list_architecture_members\` to see team composition`, - }, - ], - }; - } - - async configurePragmaticMode(args) { - const { projectPath, enabled, intensity } = args; - const architecturePath = path.join(projectPath, ".architecture"); - - if (!(await fs.pathExists(architecturePath))) { - throw new Error("Architecture framework not set up. Run setup_architecture first."); - } - - const configPath = path.join(architecturePath, "config.yml"); - const templatePath = path.join(architecturePath, "templates", "config.yml"); - - // Load or create config - let config; - if (await fs.pathExists(configPath)) { - const configContent = await fs.readFile(configPath, 'utf8'); - config = yaml.parse(configContent); - } else if (await fs.pathExists(templatePath)) { - // Copy from template - const templateContent = await fs.readFile(templatePath, 'utf8'); - config = yaml.parse(templateContent); - } else { - throw new Error("Configuration template not found. Framework may be incomplete."); - } - - // Update pragmatic mode settings - if (!config.pragmatic_mode) { - config.pragmatic_mode = {}; - } - - if (enabled !== undefined) { - config.pragmatic_mode.enabled = enabled; - } - - if (intensity !== undefined) { - config.pragmatic_mode.intensity = intensity; - } - - // Ensure deferrals.md exists if tracking is enabled - if (config.pragmatic_mode.enabled && config.pragmatic_mode.behavior?.track_deferrals) { - const deferralsPath = path.join(architecturePath, "deferrals.md"); - const deferralsTemplatePath = path.join(architecturePath, "templates", "deferrals.md"); - - if (!(await fs.pathExists(deferralsPath)) && (await fs.pathExists(deferralsTemplatePath))) { - await fs.copy(deferralsTemplatePath, deferralsPath); - } - } - - // Write updated config - await fs.writeFile(configPath, yaml.stringify(config)); - - // Build status message - const statusEnabled = config.pragmatic_mode.enabled ? "✅ Enabled" : "❌ Disabled"; - const statusIntensity = config.pragmatic_mode.intensity || "balanced"; - const deferralsTracking = config.pragmatic_mode.behavior?.track_deferrals ? "Enabled" : "Disabled"; - - return { - content: [ - { - type: "text", - text: `## Pragmatic Mode Configuration Updated\n\n**Status**: ${statusEnabled}\n**Intensity**: ${statusIntensity}\n**Deferrals Tracking**: ${deferralsTracking}\n\n### How Pragmatic Mode Works\n\nWhen enabled, the Pragmatic Enforcer will:\n- Challenge complexity and abstractions\n- Question "best practices" that may not apply\n- Propose simpler alternatives that meet current requirements\n- Score necessity vs. complexity (target ratio <1.5)\n- ${deferralsTracking === "Enabled" ? "Track deferred decisions in .architecture/deferrals.md" : "Not track deferrals"}\n\n### Intensity Levels\n\n**Strict**: Challenges aggressively, requires strong justification\n**Balanced**: Thoughtful challenges, accepts justified complexity (recommended)\n**Lenient**: Raises concerns without blocking\n\n### Configuration\n\nFull configuration saved to: \`.architecture/config.yml\`\n\nYou can manually edit this file to customize:\n- Exemptions (security, compliance, etc.)\n- Triggers (when to challenge)\n- Thresholds (complexity scores)\n- Review phases where Pragmatic Mode applies\n\n### Next Steps\n\n${config.pragmatic_mode.enabled ? "The Pragmatic Enforcer will now participate in:\n- Architecture reviews (start_architecture_review)\n- Specialist reviews (specialist_review)\n- ADR creation (create_adr)\n\nUse these tools and the Pragmatic Enforcer will challenge over-engineering." : "Pragmatic Mode is disabled. Set enabled=true to activate YAGNI enforcement."}`, - }, - ], - }; - } - - async pragmaticEnforcer(args) { - const { projectPath, reviewType, target, context, source } = args; - const architecturePath = path.join(projectPath, ".architecture"); - - if (!(await fs.pathExists(architecturePath))) { - throw new Error("Architecture framework not set up. Run setup_architecture first."); - } - - // Load pragmatic mode configuration - const configPath = path.join(architecturePath, "config.yml"); - let config = null; - let intensity = "balanced"; - - if (await fs.pathExists(configPath)) { - const configContent = await fs.readFile(configPath, 'utf8'); - config = yaml.parse(configContent); - intensity = config?.pragmatic_mode?.intensity || "balanced"; - } - - // Define intensity-specific behaviors - const intensityBehaviors = { - strict: { - stance: "Challenges aggressively, requires strong justification for any complexity", - threshold: "Very high bar - must be absolutely necessary", - defaultRecommendation: "Defer or Simplify" - }, - balanced: { - stance: "Challenges thoughtfully, accepts justified complexity", - threshold: "Reasonable bar - should have clear current value", - defaultRecommendation: "Evaluate trade-offs" - }, - lenient: { - stance: "Raises concerns without blocking, suggests alternatives", - threshold: "Low bar - raises awareness of simpler options", - defaultRecommendation: "Consider alternatives" - } - }; - - const behavior = intensityBehaviors[intensity]; - - // Build the analysis report - const reviewTypeLabels = { - proposal: "Architectural Proposal", - code: "Code Changes", - design: "Existing Design", - decision: "Architectural Decision", - implementation: "Implementation Plan" - }; - - const report = []; - report.push("# Pragmatic Enforcer Analysis"); - report.push(""); - report.push(`**Review Type**: ${reviewTypeLabels[reviewType]}`); - report.push(`**Intensity Mode**: ${intensity} (${behavior.stance})`); - if (source) report.push(`**Source**: ${source}`); - report.push(""); - report.push("---"); - report.push(""); - - // Show what's being reviewed - report.push("## Target Under Review"); - report.push(""); - report.push("```"); - report.push(target); - report.push("```"); - report.push(""); - - if (context) { - report.push("## Context"); - report.push(""); - report.push(context); - report.push(""); - } - - report.push("---"); - report.push(""); - report.push("## Pragmatic Analysis Framework"); - report.push(""); - report.push("The Pragmatic Enforcer will now analyze this through the YAGNI lens:"); - report.push(""); - - report.push("### Key Questions to Answer"); - report.push(""); - report.push("**Necessity Questions:**"); - report.push("- Do we need this right now?"); - report.push("- What breaks if we don't implement this?"); - report.push("- What current requirement does this address?"); - report.push(""); - - report.push("**Simplicity Questions:**"); - report.push("- What's the simplest thing that could work?"); - report.push("- Can we solve this with less code/complexity?"); - report.push("- What are we assuming about the future?"); - report.push(""); - - report.push("**Cost Questions:**"); - report.push("- What's the cost of implementing this now?"); - report.push("- What's the cost of waiting until we actually need it?"); - report.push("- What's the maintenance burden?"); - report.push(""); - - report.push("**Alternative Questions:**"); - report.push("- What if we just... [propose simpler alternative]?"); - report.push("- Could we use an existing tool/pattern?"); - report.push("- Can we defer part of this?"); - report.push(""); - - report.push("**Best Practice Questions:**"); - report.push("- Does this best practice apply to our context?"); - report.push("- Is this over-engineering for our scale?"); - report.push("- Are we cargo-culting?"); - report.push(""); - - report.push("---"); - report.push(""); - report.push("## Analysis Template"); - report.push(""); - report.push("Please provide your analysis using this structure:"); - report.push(""); - - report.push("### 1. Necessity Assessment (Score 0-10)"); - report.push(""); - report.push("**Current Need**: [Score /10]"); - report.push("- Analysis: [Why is this needed RIGHT NOW?]"); - report.push("- Requirements addressed: [List current requirements]"); - report.push(""); - report.push("**Future Need**: [Score /10]"); - report.push("- Analysis: [What future scenarios need this?]"); - report.push("- Likelihood: [How certain are these scenarios?]"); - report.push(""); - report.push("**Cost of Waiting**: [Low / Medium / High]"); - report.push("- Analysis: [What happens if we defer this?]"); - report.push("- Reversibility: [How hard to add later?]"); - report.push(""); - report.push("**Overall Necessity Score**: [0-10]"); - report.push(""); - - report.push("### 2. Complexity Assessment (Score 0-10)"); - report.push(""); - report.push("**Added Complexity**: [Score /10]"); - report.push("- New abstractions: [List]"); - report.push("- New dependencies: [List]"); - report.push("- Lines of code: [Estimate]"); - report.push("- Files affected: [Count]"); - report.push(""); - report.push("**Maintenance Burden**: [Score /10]"); - report.push("- Ongoing maintenance: [Description]"); - report.push("- Testing requirements: [Description]"); - report.push("- Documentation needs: [Description]"); - report.push(""); - report.push("**Learning Curve**: [Score /10]"); - report.push("- New concepts to learn: [List]"); - report.push("- Team familiarity: [Assessment]"); - report.push(""); - report.push("**Overall Complexity Score**: [0-10]"); - report.push(""); - - report.push("### 3. Complexity-to-Necessity Ratio"); - report.push(""); - report.push("**Ratio**: [Complexity Score / Necessity Score]"); - report.push(""); - report.push("**Target**: < 1.5 (complexity should not exceed necessity by more than 50%)"); - report.push(""); - report.push("**Assessment**: "); - report.push("- ✅ Acceptable (< 1.5): Complexity is justified"); - report.push("- ⚠️ Borderline (1.5 - 2.0): Question carefully"); - report.push("- ❌ Over-engineered (> 2.0): Strong challenge"); - report.push(""); - - report.push("### 4. Simpler Alternative"); - report.push(""); - report.push("**Proposal**: [Describe a concrete simpler approach]"); - report.push(""); - report.push("**What it includes**: [List]"); - report.push(""); - report.push("**What it excludes**: [List]"); - report.push(""); - report.push("**Why it's sufficient**: [Explanation]"); - report.push(""); - - report.push("### 5. Recommendation"); - report.push(""); - report.push("Choose one:"); - report.push(""); - report.push("- **✅ Implement Now**: Complexity is justified, necessity is high, proceed as proposed"); - report.push("- **🔧 Simplified Version**: Implement the simpler alternative described above"); - report.push("- **⏸️ Defer**: Wait until we have evidence we need this"); - report.push("- **❌ Skip**: Not needed, doesn't add value"); - report.push(""); - report.push("**Recommendation**: [Your choice]"); - report.push(""); - - report.push("### 6. Justification"); - report.push(""); - report.push("[Provide clear reasoning for your recommendation]"); - report.push(""); - - report.push("---"); - report.push(""); - report.push("## Exemption Check"); - report.push(""); - - if (config?.pragmatic_mode?.exemptions) { - const exemptions = config.pragmatic_mode.exemptions; - report.push("The following areas are exempt from simplification (but may be phased):"); - report.push(""); - if (exemptions.security_critical) report.push("- ✅ Security-critical features"); - if (exemptions.data_integrity) report.push("- ✅ Data integrity requirements"); - if (exemptions.compliance_required) report.push("- ✅ Compliance requirements"); - if (exemptions.accessibility) report.push("- ✅ Accessibility requirements"); - report.push(""); - report.push("If this review involves any exempt areas, note that in your analysis."); - report.push(""); - } - - report.push("---"); - report.push(""); - report.push("## Intensity-Specific Guidance"); - report.push(""); - report.push(`**Current Intensity: ${intensity}**`); - report.push(""); - report.push(`**Stance**: ${behavior.stance}`); - report.push(`**Threshold**: ${behavior.threshold}`); - report.push(`**Default Lean**: ${behavior.defaultRecommendation}`); - report.push(""); - - if (config?.pragmatic_mode?.enabled === false) { - report.push("---"); - report.push(""); - report.push("⚠️ **Note**: Pragmatic Mode is currently disabled in config.yml"); - report.push(""); - report.push("To enable automatic pragmatic enforcement in reviews, use `configure_pragmatic_mode`"); - report.push(""); - } - - return { - content: [ - { - type: "text", - text: report.join('\n'), - }, - ], - }; - } - - async getImplementationGuidance(args) { - const { projectPath, featureDescription } = args; - - // Validate project path - if (!fs.existsSync(projectPath)) { - throw new Error(`Project path does not exist: ${projectPath}`); - } - - const archPath = path.join(projectPath, ".architecture"); - if (!fs.existsSync(archPath)) { - throw new Error(`No .architecture directory found at ${projectPath}. Run setup_architecture first.`); - } - - // Read config.yml - const configPath = path.join(archPath, "config.yml"); - if (!fs.existsSync(configPath)) { - return { - content: [ - { - type: "text", - text: "No config.yml found. Implementation guidance not configured.\n\nTo configure, add an 'implementation:' section to .architecture/config.yml with methodology, influences, and practices.", - }, - ], - }; - } - - const configContent = fs.readFileSync(configPath, "utf8"); - const config = yaml.parse(configContent); - - // Check if implementation is configured - if (!config.implementation) { - return { - content: [ - { - type: "text", - text: "Implementation guidance not configured in config.yml.\n\nTo configure, add an 'implementation:' section with:\n- methodology: TDD, BDD, DDD, etc.\n- influences: List of thought leaders and sources\n- languages: Language-specific practices\n- testing, refactoring, quality standards\n\nSee .architecture/templates/config.yml for examples.", - }, - ], - }; - } - - const impl = config.implementation; - - // Check if enabled - if (impl.enabled === false) { - return { - content: [ - { - type: "text", - text: "Implementation guidance is disabled in config.yml.\n\nTo enable, set implementation.enabled: true", - }, - ], - }; - } - - // Build implementation guidance report - const report = []; - report.push("# Implementation Guidance"); - report.push(""); - - if (featureDescription) { - report.push(`**Feature**: ${featureDescription}`); - report.push(""); - } - - report.push("---"); - report.push(""); - - // Methodology - if (impl.methodology) { - report.push("## Development Methodology"); - report.push(""); - report.push(`**Primary Approach**: ${impl.methodology}`); - report.push(""); - - const methodologies = { - TDD: "Test-Driven Development: Write tests first, red-green-refactor cycle", - BDD: "Behavior-Driven Development: Behavior-focused tests, outside-in development", - DDD: "Domain-Driven Design: Focus on domain modeling, bounded contexts, ubiquitous language", - "Test-Last": "Implementation first, comprehensive tests after", - Exploratory: "Experiment with approaches, iterate and learn, codify successful patterns" - }; - - if (methodologies[impl.methodology]) { - report.push(`**Description**: ${methodologies[impl.methodology]}`); - report.push(""); - } - } - - // Influences - if (impl.influences && impl.influences.length > 0) { - report.push("## Coding Influences"); - report.push(""); - report.push("Follow practices and principles from:"); - report.push(""); - impl.influences.forEach(influence => { - report.push(`- ${influence}`); - }); - report.push(""); - } - - // Language-specific practices - if (impl.languages) { - report.push("## Language-Specific Practices"); - report.push(""); - Object.entries(impl.languages).forEach(([lang, practices]) => { - report.push(`### ${lang.charAt(0).toUpperCase() + lang.slice(1)}`); - report.push(""); - if (practices.style_guide) { - report.push(`**Style Guide**: ${practices.style_guide}`); - report.push(""); - } - if (practices.idioms) { - report.push(`**Idioms**: ${practices.idioms}`); - report.push(""); - } - if (practices.frameworks) { - report.push("**Frameworks**:"); - Object.entries(practices.frameworks).forEach(([framework, guidance]) => { - report.push(`- ${framework}: ${guidance}`); - }); - report.push(""); - } - }); - } - - // Testing - if (impl.testing) { - report.push("## Testing Approach"); - report.push(""); - if (impl.testing.framework) { - report.push(`**Framework**: ${impl.testing.framework}`); - } - if (impl.testing.style) { - report.push(`**Style**: ${impl.testing.style}`); - } - if (impl.testing.approach) { - report.push(`**Approach**: ${impl.testing.approach}`); - } - if (impl.testing.coverage) { - report.push(`**Coverage Goal**: ${impl.testing.coverage}`); - } - if (impl.testing.speed) { - report.push(`**Speed Targets**: ${impl.testing.speed}`); - } - report.push(""); - } - - // Refactoring - if (impl.refactoring) { - report.push("## Refactoring Guidelines"); - report.push(""); - if (impl.refactoring.when) { - report.push("**When to Refactor**:"); - impl.refactoring.when.forEach(when => { - report.push(`- ${when}`); - }); - report.push(""); - } - if (impl.refactoring.principles) { - report.push("**Principles**:"); - impl.refactoring.principles.forEach(principle => { - report.push(`- ${principle}`); - }); - report.push(""); - } - } - - // Quality - if (impl.quality) { - report.push("## Quality Standards"); - report.push(""); - if (impl.quality.definition_of_done) { - report.push("**Definition of Done**:"); - impl.quality.definition_of_done.forEach(item => { - report.push(`- ${item}`); - }); - report.push(""); - } - if (impl.quality.priorities) { - report.push("**Quality Priorities**:"); - impl.quality.priorities.forEach(priority => { - report.push(`- ${priority}`); - }); - report.push(""); - } - } - - // Security - if (impl.security?.mandatory_practices) { - report.push("## Security Practices"); - report.push(""); - report.push("**Mandatory** (always apply, exempt from YAGNI):"); - impl.security.mandatory_practices.forEach(practice => { - report.push(`- ${practice}`); - }); - report.push(""); - } - - // Performance - if (impl.performance?.critical) { - report.push("## Performance Considerations"); - report.push(""); - report.push("⚠️ **Performance-Critical System**: Extra attention to performance"); - report.push(""); - if (impl.performance.practices) { - report.push("**Practices**:"); - impl.performance.practices.forEach(practice => { - report.push(`- ${practice}`); - }); - report.push(""); - } - if (impl.performance.influences) { - report.push("**Performance Influences**:"); - impl.performance.influences.forEach(influence => { - report.push(`- ${influence}`); - }); - report.push(""); - } - } - - report.push("---"); - report.push(""); - report.push("## Usage"); - report.push(""); - report.push("Apply this guidance during implementation:"); - report.push("1. Follow the configured methodology"); - report.push("2. Reference the listed influences for techniques and patterns"); - report.push("3. Apply language-specific practices and idioms"); - report.push("4. Structure tests according to testing approach"); - report.push("5. Refactor at the specified times"); - report.push("6. Meet quality standards before completion"); - report.push("7. Always apply security practices"); - report.push(""); - report.push("**Tip**: This guidance is automatically applied when using 'Implement X as the architects' command in Claude Code."); - - return { - content: [ - { - type: "text", - text: report.join('\n'), - }, - ], - }; - } - - async run() { - const transport = new StdioServerTransport(); - await this.server.connect(transport); - console.error("AI Software Architect MCP server running on stdio"); - } -} - -const server = new ArchitectureServer(); -server.run().catch(console.error); \ No newline at end of file diff --git a/.architecture/mcp/package-lock.json b/.architecture/mcp/package-lock.json deleted file mode 100644 index d0db0ee..0000000 --- a/.architecture/mcp/package-lock.json +++ /dev/null @@ -1,229 +0,0 @@ -{ - "name": "ai-software-architect-mcp", - "version": "1.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "ai-software-architect-mcp", - "version": "1.0.0", - "license": "MIT", - "dependencies": { - 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"name": "ai-software-architect", - "version": "1.3.0", - "description": "MCP server for AI Software Architect framework", - "main": "index.js", - "type": "module", - "bin": { - "mcp": "./index.js" - }, - "scripts": { - "start": "node index.js", - "dev": "node --watch index.js", - "test": "node --test" - }, - "keywords": [ - "mcp", - "architecture", - "ai", - "software-architecture", - "decision-records" - ], - "author": "AI Software Architect", - "license": "MIT", - "repository": { - "type": "git", - "url": "git+https://github.com/codenamev/ai-software-architect.git", - "directory": "mcp" - }, - "homepage": "https://github.com/codenamev/ai-software-architect#readme", - "bugs": { - "url": "https://github.com/codenamev/ai-software-architect/issues" - }, - "dependencies": { - "@modelcontextprotocol/sdk": "^0.6.0", - "yaml": "^2.3.4", - "fs-extra": "^11.2.0" - }, - "devDependencies": { - "@types/node": "^20.10.0" - }, - "engines": { - "node": ">=18.0.0" - }, - "mcp": { - "command": "mcp", - "transport": "stdio" - } -} \ No newline at end of file diff --git a/.architecture/quarterly-review-process.md b/.architecture/quarterly-review-process.md deleted file mode 100644 index 4fb5d82..0000000 --- a/.architecture/quarterly-review-process.md +++ /dev/null @@ -1,447 +0,0 @@ -# Quarterly Review Process - -**Version**: 1.0.0 -**Created**: 2025-12-04 -**Schedule**: March 1, June 1, September 1, December 1 -**Related**: [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md), [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) - -## Purpose - -Quarterly review of framework documentation to ensure we maintain instruction capacity constraints, documentation quality, and alignment with user needs. - -## Review Schedule - -**Frequency**: Quarterly (every 3 months) - -**Dates**: March 1, June 1, September 1, December 1 - -**Duration**: 2-4 hours - -**Trigger**: Calendar date OR major framework changes (>20% documentation updates) - -## Roles and Responsibilities - -**Primary Reviewer**: Framework maintainer or designated contributor - -**Stakeholders**: -- Framework users (feedback collection) -- Documentation contributors -- Architecture team (for validation) - -## Review Checklist - -### Phase 1: Instruction Capacity Audit (30-45 min) - -**Objective**: Verify we're within instruction capacity targets. - -**Tasks**: - -- [ ] **Count AGENTS.md instructions** - - Method: Run `cd tools && npm run count` - - Alternative: Manual count using [instruction-counting-methodology.md](instruction-counting-methodology.md) - - Target: < 150 instructions - - Record: Current count, change from last review - - Action if over: Identify candidates for agent_docs/ migration - -- [ ] **Count CLAUDE.md instructions** - - Method: Run `cd tools && npm run count` - - Alternative: Manual count using [instruction-counting-methodology.md](instruction-counting-methodology.md) - - Target: < 30 instructions - - Record: Current count, change from last review - - Action if over: Remove or consolidate instructions - -- [ ] **Check line counts** - - AGENTS.md target: < 500 lines (current: 418) ✅ - - CLAUDE.md target: < 100 lines (current: 126) ⚠️ - - agent_docs/ total: No limit (progressive disclosure) - - Tool: `wc -l AGENTS.md CLAUDE.md .architecture/agent_docs/*.md` - -- [ ] **Validate total budget** - - Total instructions across AGENTS.md + CLAUDE.md - - Target: < 180 (accounting for Claude Code's ~50) - - Current budget used: ~134/180 ✅ - -**Document findings**: Update `.architecture/reviews/instruction-capacity-audit-YYYY-QN.md` - -### Phase 2: Quality Assessment (30-45 min) - -**Objective**: Ensure documentation is clear, accurate, and useful. - -**Tasks**: - -- [ ] **Check for instruction bloat** - - Redundant instructions (same directive stated multiple ways) - - Obsolete instructions (features removed, processes changed) - - Over-specific instructions (too granular, could be generalized) - - Action: Consolidate or remove - -- [ ] **Validate all internal links** - - Method: Run `cd tools && npm run validate` - - Alternative: Manual check of links - - Checks: Links to .architecture/, agent_docs/, between ADRs and reviews - - Action: Fix broken links immediately - -- [ ] **Review examples for staleness** - - Code examples still current? - - Command examples still work? - - Configuration examples match current config.yml? - - Version numbers current? - - Action: Update stale examples - -- [ ] **Check consistency** - - Terminology consistent across files? - - Formatting consistent? - - Style guide followed? - - Action: Standardize inconsistencies - -**Document findings**: Update `.architecture/reviews/documentation-quality-YYYY-QN.md` - -### Phase 3: Usage Pattern Analysis (30-45 min) - -**Objective**: Understand how documentation is being used and optimize accordingly. - -**Tasks**: - -- [ ] **Analyze usage patterns** - - Which agent_docs/ sections most accessed? - - Which workflows most commonly requested? - - Which documentation paths most followed? - - Source: User feedback, GitHub issues, community discussions - - Tool: Review issue tracker for documentation questions - -- [ ] **Identify gaps** - - Common questions not answered by current docs? - - Missing workflows or procedures? - - Unclear sections (frequent follow-up questions)? - - Source: User feedback, support requests - - Action: Add to documentation backlog - -- [ ] **Evaluate progressive disclosure effectiveness** - - Do users find what they need? - - Are pointers clear and helpful? - - Is navigation intuitive? - - Source: User feedback - - Action: Improve navigation or pointers - -- [ ] **Check agent_docs/ file sizes** - - Any files exceeding 300-400 lines? - - Would splitting improve findability? - - Apply pragmatic principle: split only if justified - - Action: Split if evidence supports it - -**Document findings**: Update `.architecture/reviews/usage-patterns-YYYY-QN.md` - -### Phase 4: User Feedback Collection (15-30 min) - -**Objective**: Gather direct feedback from framework users. - -**Tasks**: - -- [ ] **Review user feedback channels** - - GitHub issues tagged 'documentation' - - GitHub discussions - - Pull request comments - - Direct user reports - - Community channels - -- [ ] **Key questions to answer**: - - What's working well? - - What's confusing or hard to find? - - What's missing? - - Is AI assistant following instructions correctly? - - Are instruction capacity improvements noticeable? - -- [ ] **Quantitative metrics** (if available): - - Time to complete common tasks - - User satisfaction scores - - Task completion rates - - AI assistant effectiveness ratings - -- [ ] **Qualitative feedback**: - - User testimonials - - Specific pain points - - Improvement suggestions - -**Document findings**: Update `.architecture/reviews/user-feedback-YYYY-QN.md` - -### Phase 5: Refactoring and Improvements (45-90 min) - -**Objective**: Implement improvements based on review findings. - -**Tasks**: - -- [ ] **Address capacity issues** - - If AGENTS.md over budget: Move content to agent_docs/ - - If CLAUDE.md over budget: Consolidate or remove - - If total budget tight: Prioritize highest-value instructions - -- [ ] **Fix identified problems** - - Broken links → Fix immediately - - Stale examples → Update - - Inconsistencies → Standardize - - Gaps → Add to backlog or implement if quick - -- [ ] **Implement quick wins** - - Minor clarifications - - Navigation improvements - - Formatting fixes - - Small additions - -- [ ] **Plan larger improvements** - - Major restructuring - - New sections or guides - - Significant rewrites - - Create issues or ADRs as appropriate - -- [ ] **Update documentation version numbers** - - AGENTS.md if changed - - CLAUDE.md if changed - - agent_docs/ files if changed - - Include change summary - -**Track changes**: Commit with clear message referencing quarterly review - -### Phase 6: Reporting and Planning (15-30 min) - -**Objective**: Document review outcomes and plan next steps. - -**Tasks**: - -- [ ] **Create review summary** - - Instruction counts (current vs. targets) - - Key findings from each phase - - Actions taken during review - - Actions deferred to backlog - - Next review date - -- [ ] **Update tracking metrics** - - Historical instruction counts - - Documentation growth trends - - User satisfaction trends - - Common issues trends - -- [ ] **Plan for next quarter** - - Known upcoming changes - - Deferred improvements from this review - - Expected documentation needs - -- [ ] **Communicate results** - - Update repository documentation - - Notify contributors - - Share with community if appropriate - -**Document**: Create `.architecture/reviews/quarterly-review-YYYY-QN-summary.md` - -## Review Templates - -### Instruction Capacity Audit Template - -```markdown -# Instruction Capacity Audit - YYYY Q# - -**Review Date**: YYYY-MM-DD -**Reviewer**: [Name] - -## Instruction Counts - -| Document | Target | Current | Last Quarter | Change | Status | -|----------|--------|---------|--------------|--------|--------| -| AGENTS.md | < 150 | X | Y | +/- Z | ✅/⚠️/❌ | -| CLAUDE.md | < 30 | X | Y | +/- Z | ✅/⚠️/❌ | -| **Total** | < 180 | X | Y | +/- Z | ✅/⚠️/❌ | - -## Line Counts - -| Document | Target | Current | Status | -|----------|--------|---------|--------| -| AGENTS.md | < 500 | X | ✅/⚠️/❌ | -| CLAUDE.md | < 100 | X | ✅/⚠️/❌ | - -## Findings - -### Over Budget Items -[List any documents exceeding targets] - -### Instruction Bloat -[Redundant, obsolete, or unnecessary instructions identified] - -### Recommendations -[Specific actions to take] - -## Actions Taken - -- [ ] Action 1 -- [ ] Action 2 - -## Deferred to Backlog - -- [ ] Item 1 -- [ ] Item 2 -``` - -### User Feedback Template - -```markdown -# User Feedback Summary - YYYY Q# - -**Review Date**: YYYY-MM-DD -**Reviewer**: [Name] - -## Feedback Sources - -- GitHub Issues: [count] documentation-related -- GitHub Discussions: [count] threads reviewed -- Direct Reports: [count] received -- Other: [describe] - -## Key Themes - -### What's Working Well -- Theme 1: [description] -- Theme 2: [description] - -### Pain Points -- Issue 1: [description + frequency] -- Issue 2: [description + frequency] - -### Missing Documentation -- Gap 1: [what users need] -- Gap 2: [what users need] - -## Quantitative Metrics - -| Metric | Value | Target | Status | -|--------|-------|--------|--------| -| User satisfaction | X/10 | > 8/10 | ✅/⚠️/❌ | -| Time-to-find info | X seconds | < 60s | ✅/⚠️/❌ | -| Task completion rate | X% | > 90% | ✅/⚠️/❌ | - -## Recommendations - -1. [Priority 1 improvement] -2. [Priority 2 improvement] -3. [Priority 3 improvement] - -## Actions - -- [ ] Immediate: [quick fixes] -- [ ] Short-term: [this quarter] -- [ ] Long-term: [future quarters] -``` - -## Success Metrics - -Track these metrics over time: - -| Metric | Target | Measurement | -|--------|--------|-------------| -| **AGENTS.md instruction count** | < 150 | Manual count per methodology | -| **CLAUDE.md instruction count** | < 30 | Manual count per methodology | -| **Total instruction budget used** | < 180 | Sum of above | -| **User satisfaction** | > 8/10 | User surveys, feedback | -| **Time-to-find documentation** | < 60 seconds | User testing | -| **Documentation-related issues** | Decreasing | GitHub issue count | -| **AI assistant effectiveness** | > 8/10 | User reports | - -## Historical Tracking - -Maintain a simple tracking document: - -```markdown -# Documentation Metrics History - -| Quarter | AGENTS.md | CLAUDE.md | Total | User Sat | Notes | -|---------|-----------|-----------|-------|----------|-------| -| 2025-Q1 | 120 | 14 | 134 | 8.5/10 | Initial optimization | -| 2025-Q2 | ? | ? | ? | ? | [Add notes] | -``` - -Location: `.architecture/documentation-metrics.md` - -## Continuous Improvement - -### Between Quarterly Reviews - -**Ad-hoc checks**: -- After major documentation changes (> 20% of file) -- When adding new features requiring documentation -- If user feedback indicates documentation problems -- Before major version releases - -**Ongoing activities**: -- Monitor documentation-related issues -- Collect user feedback continuously -- Fix broken links immediately when found -- Update stale examples as noticed - -### Adapting the Process - -This process should evolve based on experience: - -**Triggers for process updates**: -- Review takes significantly more/less time than estimated -- Steps consistently yield no findings -- New tools or methods available -- User needs change -- Framework grows or changes significantly - -**Update process**: -1. Identify what's not working -2. Propose changes to process -3. Test changes for one cycle -4. Evaluate and adopt or revert - -## Tools and Resources - -**Required**: -- [instruction-counting-methodology.md](instruction-counting-methodology.md) -- Text editor or IDE -- Terminal (for `wc -l` line counting) -- GitHub issue tracker access - -**Automated Tools** (in `tools/` directory): -- `npm run validate` - Validates markdown links -- `npm run count` - Counts instructions with target checking -- See [tools/README.md](../tools/README.md) for full documentation - -**Helpful**: -- Diff tool for comparing changes -- User feedback collection system -- Analytics (if available) - -## Questions or Issues - -**Process unclear?** -- Review [documentation-guidelines.md](documentation-guidelines.md) -- Check [ADR-005](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) and [ADR-006](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) -- Open GitHub issue for process improvements - -**Can't complete review?** -- Review as much as possible -- Document what's missing -- Seek help from framework maintainers -- Defer complex items to next review - -## Next Review - -**Date**: [Next scheduled date] - -**Reminder**: Set calendar reminder 1 week before review date - -**Preparation**: -- Collect user feedback throughout quarter -- Note documentation issues as they arise -- Track framework changes affecting documentation - -## Version History - -| Version | Date | Changes | -|---------|------|---------| -| 1.0.0 | 2025-12-04 | Initial process based on ADR-005 and ADR-006 implementation | - -## References - -- [ADR-005: LLM Instruction Capacity Constraints](decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) -- [ADR-006: Progressive Disclosure Pattern](decisions/adrs/ADR-006-progressive-disclosure-pattern.md) -- [Documentation Guidelines](documentation-guidelines.md) -- [Instruction Counting Methodology](instruction-counting-methodology.md) diff --git a/.architecture/recalibration/0-1-0.md b/.architecture/recalibration/0-1-0.md deleted file mode 100644 index c3877a6..0000000 --- a/.architecture/recalibration/0-1-0.md +++ /dev/null @@ -1,96 +0,0 @@ -# Architectural Recalibration Plan: Version 0.1.0 - -## Overview - -This document outlines the action plan derived from the architectural review of version 0.1.0 of the AI Software Architect CLI tool. It categorizes and prioritizes recommendations to guide implementation across upcoming releases. - -## Review Summary - -- Review Date: May 23, 2025 -- Review Document: [0-1-0.md](../reviews/0-1-0.md) -- Participants: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer - -## Action Items - -### Architectural Changes - -| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | -|----|---------------|----------|-------|----------------|--------------|-------| -| A1 | Implement component interfaces with dependency inversion | Critical | TBD | 0.1.0 | None | Foundation for plugin architecture | -| A2 | Create plugin architecture for language/framework analyzers | Critical | TBD | 0.1.0 | A1 | Enable extensibility for different project types | -| A3 | Develop event-based system for component communication | High | TBD | 0.2.0 | A1 | Reduces coupling between components | -| A4 | Design comprehensive configuration schema with validation | Medium | TBD | 0.2.0 | None | Standardizes configuration options | -| A5 | Implement AI-readable metadata in generated artifacts | High | TBD | 0.2.0 | None | Enhances AI assistant integration | - -### Implementation Improvements - -| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | -|----|---------------|----------|-------|----------------|--------------|-------| -| I1 | Create security safeguards for repository analysis | Critical | TBD | 0.1.0 | None | Prevent access to sensitive files | -| I2 | Implement validation system for generated artifacts | Critical | TBD | 0.1.0 | None | Ensure quality of output files | -| I3 | Develop template customization mechanisms | High | TBD | 0.2.0 | None | Balance flexibility and consistency | -| I4 | Add performance optimizations for large repositories | High | TBD | 0.2.0 | None | Progressive analysis and caching | -| I5 | Create robust error recovery for partial failures | Medium | TBD | 0.2.0 | None | Graceful handling of errors | - -### Documentation Enhancements - -| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | -|----|---------------|----------|-------|----------------|--------------|-------| -| D1 | Create comprehensive CLI documentation | High | TBD | 0.1.0 | None | Usage guides and examples | -| D2 | Develop assistant-specific guidance files | High | TBD | 0.2.0 | A5 | Optimal prompting patterns | -| D3 | Document extension points and plugin creation | Medium | TBD | 0.2.0 | A2 | For developers creating new analyzers | -| D4 | Create architectural patterns reference | Medium | TBD | 0.3.0 | None | Common patterns by project type | -| D5 | Develop integration guides for CI/CD systems | Low | TBD | 0.3.0 | None | Automated usage scenarios | - -### Process Adjustments - -| ID | Recommendation | Priority | Owner | Target Version | Dependencies | Notes | -|----|---------------|----------|-------|----------------|--------------|-------| -| P1 | Establish testing strategy with high coverage | Critical | TBD | 0.1.0 | None | Particularly for analyzer components | -| P2 | Create integration testing with sample repositories | High | TBD | 0.2.0 | None | Validate end-to-end functionality | -| P3 | Develop versioning strategy for tool and framework alignment | Medium | TBD | 0.2.0 | None | Keep versions in sync | -| P4 | Implement automated performance benchmarking | Low | TBD | 0.3.0 | None | Track performance across versions | -| P5 | Create user feedback collection mechanism | Medium | TBD | 0.3.0 | None | Gather data on tool effectiveness | - -## Technical Debt Items - -Items identified in the review that won't be addressed immediately but should be tracked: - -| ID | Description | Impact | Potential Resolution Timeframe | -|----|-------------|--------|--------------------------------| -| TD1 | Complexity of supporting multiple AI assistants | Medium | Version 0.3.0 | -| TD2 | Limited visualization capabilities | Low | Version 1.0.0 | -| TD3 | Lack of metrics for measuring architecture quality | Medium | Version 0.4.0 | -| TD4 | Manual testing of edge cases | High | Version 0.2.0 | -| TD5 | Limited domain-specific template variations | Medium | Version 0.3.0 | - -## Decision Records - -List of Architectural Decision Records (ADRs) that need to be created or updated based on the review: - -| ADR ID | Title | Status | Owner | Target Completion | -|--------|-------|--------|-------|-------------------| -| ADR-001 | CLI Functional Requirements | Accepted | TBD | Completed | -| ADR-002 | CLI Component Architecture | Draft | TBD | Before 0.1.0 | -| ADR-003 | Repository Analysis Strategy | Draft | TBD | Before 0.1.0 | -| ADR-004 | Template Generation Approach | Draft | TBD | Before 0.1.0 | -| ADR-005 | Plugin Architecture | Draft | TBD | Before 0.2.0 | - -## Timeline - -Overview of the recalibration implementation timeline: - -- Analysis & Prioritization: May 23, 2025 - May 25, 2025 -- Architectural Plan Update: May 26, 2025 - May 30, 2025 -- Documentation Refresh: May 31, 2025 - June 5, 2025 -- Implementation Roadmapping: June 6, 2025 - June 10, 2025 - -## Next Steps - -Immediate next actions to be taken: - -1. Complete ADR-002 for CLI Component Architecture -2. Create initial implementation of core interfaces and components -3. Implement basic repository analysis for common languages -4. Develop security safeguards for repository analysis -5. Establish testing strategy and initial test suite \ No newline at end of file diff --git a/.architecture/recalibration/implementation_roadmap_0-1-0.md b/.architecture/recalibration/implementation_roadmap_0-1-0.md deleted file mode 100644 index faf2b6b..0000000 --- a/.architecture/recalibration/implementation_roadmap_0-1-0.md +++ /dev/null @@ -1,273 +0,0 @@ -# Implementation Roadmap for Version 0.1.0 - -## Overview - -This document outlines the implementation plan for the AI Software Architect CLI tool based on the architectural review and recalibration plan for version 0.1.0. It breaks down high-level architectural changes into implementable tasks, assigns them to specific versions, and establishes acceptance criteria. - -## Target Versions - -This roadmap covers the following versions: -- **0.1.0**: Foundation release with core functionality and critical features -- **0.2.0**: Enhancement release focusing on extensibility and template customization -- **0.3.0**: Integration release adding AI assistant features and domain-specific improvements - -## Implementation Areas - -### Area 1: Core Architecture - -**Overall Goal**: Establish a modular, extensible foundation with clean separation of concerns - -#### Tasks for Version 0.1.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| CA1.1 | Define core interfaces for major components | None | Medium | TBD | Interface contract tests | -| CA1.2 | Implement dependency injection container | CA1.1 | Medium | TBD | DI resolution tests | -| CA1.3 | Create command line argument parser | None | Low | TBD | Argument parsing tests | -| CA1.4 | Implement configuration management system | CA1.2 | Medium | TBD | Config loading/validation tests | -| CA1.5 | Develop logging and error handling framework | None | Low | TBD | Error propagation tests | - -**Acceptance Criteria**: -- [ ] All components communicate through well-defined interfaces -- [ ] Components can be replaced with alternative implementations -- [ ] Configuration is externalized and validated -- [ ] Errors are handled gracefully with appropriate logging - -#### Tasks for Version 0.2.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| CA2.1 | Implement event system for inter-component communication | CA1.1 | Medium | TBD | Event propagation tests | -| CA2.2 | Create plugin loader for analyzers and generators | CA1.2 | High | TBD | Plugin discovery tests | -| CA2.3 | Develop plugin SDK and documentation | CA2.2 | Medium | TBD | SDK usage tests | -| CA2.4 | Implement feature toggles for optional capabilities | CA1.4 | Low | TBD | Feature flag tests | - -**Acceptance Criteria**: -- [ ] Events can be published and subscribed across components -- [ ] Plugins can be dynamically discovered and loaded -- [ ] External developers can create plugins using the SDK -- [ ] Features can be enabled/disabled through configuration - -### Area 2: Repository Analysis - -**Overall Goal**: Create a robust, secure system for analyzing repositories to inform architecture generation - -#### Tasks for Version 0.1.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| RA1.1 | Implement repository scanner for detecting languages | None | Medium | TBD | Language detection tests | -| RA1.2 | Create security filtering for sensitive paths | None | High | TBD | Security boundary tests | -| RA1.3 | Develop framework detection for common technologies | RA1.1 | High | TBD | Framework detection tests | -| RA1.4 | Implement code style analysis | RA1.1 | Medium | TBD | Style detection tests | -| RA1.5 | Create project structure analyzer | None | Medium | TBD | Structure analysis tests | - -**Acceptance Criteria**: -- [ ] Accurately detects languages used in the repository -- [ ] Prevents access to sensitive files and directories -- [ ] Identifies common frameworks and libraries -- [ ] Determines coding style and documentation patterns -- [ ] Analyzes project structure and organization - -#### Tasks for Version 0.2.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| RA2.1 | Implement incremental analysis for large repositories | RA1.1 | High | TBD | Performance tests | -| RA2.2 | Create caching system for analysis results | RA1.1 | Medium | TBD | Cache invalidation tests | -| RA2.3 | Develop domain model extraction capabilities | RA1.3 | High | TBD | Model extraction tests | -| RA2.4 | Implement architectural pattern recognition | RA1.5 | High | TBD | Pattern detection tests | - -**Acceptance Criteria**: -- [ ] Analyzes large repositories efficiently -- [ ] Caches results to avoid redundant analysis -- [ ] Extracts domain model concepts from code -- [ ] Recognizes common architectural patterns - -### Area 3: Architecture Generation - -**Overall Goal**: Generate tailored architectural documentation and configuration that aligns with project characteristics - -#### Tasks for Version 0.1.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| AG1.1 | Implement directory structure creator | None | Low | TBD | Directory creation tests | -| AG1.2 | Create template engine with variable substitution | None | Medium | TBD | Template rendering tests | -| AG1.3 | Develop members.yml generator based on project type | RA1.3 | Medium | TBD | Role generation tests | -| AG1.4 | Implement principles.md customization | RA1.3, RA1.4 | Medium | TBD | Principles adaptation tests | -| AG1.5 | Create validation system for generated artifacts | None | High | TBD | Validation rule tests | - -**Acceptance Criteria**: -- [ ] Creates complete directory structure with proper permissions -- [ ] Renders templates with project-specific variables -- [ ] Generates appropriate review roles based on project type -- [ ] Customizes principles document to align with project patterns -- [ ] Validates all generated artifacts for consistency and correctness - -#### Tasks for Version 0.2.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| AG2.1 | Implement template customization system | AG1.2 | High | TBD | Template customization tests | -| AG2.2 | Create domain-specific ADR templates | AG1.2, RA2.3 | Medium | TBD | Domain ADR tests | -| AG2.3 | Develop assistant configuration generators | None | Medium | TBD | Assistant config tests | -| AG2.4 | Implement architecture visualization generator | AG1.2, RA1.5 | High | TBD | Visualization tests | - -**Acceptance Criteria**: -- [ ] Allows users to customize templates while preserving structure -- [ ] Provides domain-specific ADR templates based on project analysis -- [ ] Generates configuration for multiple AI assistants -- [ ] Creates basic architectural visualizations - -### Area 4: User Experience - -**Overall Goal**: Provide a smooth, intuitive experience for users setting up the architecture framework - -#### Tasks for Version 0.1.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| UX1.1 | Implement interactive CLI workflow | CA1.3 | Medium | TBD | User journey tests | -| UX1.2 | Create progress reporting for long operations | CA1.5 | Low | TBD | Progress feedback tests | -| UX1.3 | Develop clear error messages and recovery suggestions | CA1.5 | Medium | TBD | Error message tests | -| UX1.4 | Implement non-interactive mode for scripting | CA1.3, CA1.4 | Medium | TBD | Script usage tests | -| UX1.5 | Create comprehensive help documentation | None | Low | TBD | Help system tests | - -**Acceptance Criteria**: -- [ ] Guides users through setup with clear prompts -- [ ] Shows progress for long-running operations -- [ ] Provides actionable error messages when problems occur -- [ ] Supports non-interactive usage for automation -- [ ] Includes comprehensive help and documentation - -#### Tasks for Version 0.2.0 - -| Task ID | Description | Dependencies | Complexity | Owner | Tests Required | -|---------|-------------|--------------|------------|-------|----------------| -| UX2.1 | Implement configuration file support | CA1.4 | Medium | TBD | Config file tests | -| UX2.2 | Create results summary and next steps guide | None | Low | TBD | Output format tests | -| UX2.3 | Develop interactive template customization | AG2.1 | Medium | TBD | Template editor tests | -| UX2.4 | Implement command suggestions based on context | None | Medium | TBD | Suggestion relevance tests | - -**Acceptance Criteria**: -- [ ] Supports configuration files for repeatable setups -- [ ] Provides clear summary and next steps after generation -- [ ] Allows interactive customization of templates -- [ ] Suggests relevant commands based on context - -## Implementation Approach - -### Breaking vs. Non-Breaking Changes - -The initial version (0.1.0) will establish the foundation, with subsequent releases adding features in a non-breaking manner. We'll maintain backward compatibility through: - -- Stable CLI interface with new commands rather than changing existing ones -- Configuration defaults that preserve backward compatibility -- Feature flags for new capabilities that might change behavior - -### Feature Flags - -| Flag Name | Purpose | Default Value | Removal Version | -|-----------|---------|---------------|-----------------| -| enable_advanced_analysis | Enable deeper code analysis features | false | 0.3.0 | -| enable_ai_metadata | Generate AI-readable metadata | false | 0.3.0 | -| enable_visualization | Generate architecture visualizations | false | 0.4.0 | -| enable_plugins | Support for external plugins | false | 0.3.0 | - -### Migration Support - -- Version 0.2.0 will include utilities to update artifacts generated by 0.1.0 -- Version 0.3.0 will provide migration paths for both 0.1.0 and 0.2.0 artifacts -- All migrations will preserve user customizations when possible - -## Testing Strategy - -### Component Tests - -- Each component will have comprehensive unit tests -- Interface contracts will be tested for all implementations -- Mock implementations will be used to isolate components - -### Integration Tests - -- End-to-end tests will verify complete workflows -- Sample repositories of various types will be used as test fixtures -- Cross-component interaction will be tested with real implementations - -### Migration Tests - -- Tests will verify that artifacts from previous versions can be properly updated -- User customizations will be included in migration test scenarios - -## Documentation Plan - -| Document | Update Required | Responsible | Deadline | -|----------|-----------------|-------------|----------| -| CLI Usage Guide | Create initial version | TBD | 0.1.0 release | -| Plugin Development Guide | Create for plugin SDK | TBD | 0.2.0 release | -| Architecture Framework Integration | Create initial version | TBD | 0.1.0 release | -| Template Customization Guide | Create for customization system | TBD | 0.2.0 release | -| AI Assistant Integration | Create initial version | TBD | 0.2.0 release | - -## Risk Assessment - -| Risk | Impact | Likelihood | Mitigation Strategy | -|------|--------|------------|---------------------| -| Inaccurate repository analysis | High | Medium | Conservative analysis with user confirmation for uncertain results | -| Performance issues with large repositories | Medium | High | Incremental analysis and progress reporting | -| Generated artifacts require significant manual adjustment | High | Medium | Template customization capabilities and validation system | -| Plugin system creates compatibility issues | Medium | Low | Strict plugin interface contracts and version compatibility checks | -| Security issues with repository analysis | High | Low | Path filtering, sensitive file detection, and user confirmation | - -## Timeline - -| Milestone | Target Date | Dependencies | Owner | -|-----------|-------------|--------------|-------| -| Core architecture implementation | June 15, 2025 | None | TBD | -| Basic repository analysis | June 30, 2025 | Core architecture | TBD | -| Initial artifact generation | July 15, 2025 | Repository analysis | TBD | -| Version 0.1.0 Release | July 31, 2025 | All 0.1.0 tasks | TBD | -| Plugin architecture implementation | August 15, 2025 | 0.1.0 Release | TBD | -| Advanced analysis capabilities | August 31, 2025 | Plugin architecture | TBD | -| Template customization system | September 15, 2025 | 0.1.0 Release | TBD | -| Version 0.2.0 Release | September 30, 2025 | All 0.2.0 tasks | TBD | - -## Progress Tracking - -Progress on this implementation roadmap will be tracked in: -- GitHub Issues and Projects -- Regular status meetings -- Progress tracking document in `.architecture/recalibration/progress_tracking_0-1-0.md` - -## Appendices - -### A. Architecture Diagrams - -#### Component Architecture - -``` -┌─────────────────────────────────────────────────────────────┐ -│ CLI Application │ -└───────────────┬─────────────────────────────────┬───────────┘ - │ │ - ▼ ▼ -┌───────────────────────────┐ ┌───────────────────────────┐ -│ │ │ │ -│ Repository Analyzer │ │ Architecture Generator │ -│ │ │ │ -└─┬─────────────┬─────────┬─┘ └─┬─────────────┬─────────┬─┘ - │ │ │ │ │ │ - ▼ ▼ ▼ ▼ ▼ ▼ -┌────────┐ ┌─────────┐ ┌────────┐ ┌────────┐ ┌─────────┐ ┌────────┐ -│Language│ │Framework│ │ Style │ │Template│ │Directory│ │Validator│ -│Detector│ │Detector │ │Analyzer│ │Engine │ │Creator │ │ │ -└────────┘ └─────────┘ └────────┘ └────────┘ └─────────┘ └────────┘ -``` - -### B. Relevant ADRs - -- [ADR-001: CLI Functional Requirements](../decisions/adrs/ADR-001-cli-functional-requirements.md) -- ADR-002: CLI Component Architecture (To be created) -- ADR-003: Repository Analysis Strategy (To be created) -- ADR-004: Template Generation Approach (To be created) \ No newline at end of file diff --git a/.architecture/recalibration/instruction-capacity-optimization.md b/.architecture/recalibration/instruction-capacity-optimization.md deleted file mode 100644 index f7d3e76..0000000 --- a/.architecture/recalibration/instruction-capacity-optimization.md +++ /dev/null @@ -1,764 +0,0 @@ -# Architectural Recalibration Plan: Instruction Capacity Optimization - -## Overview - -This document outlines the implementation roadmap for ADR-005 (LLM Instruction Capacity Constraints) and ADR-006 (Progressive Disclosure Pattern), based on the comprehensive architecture review of HumanLayer's CLAUDE.md best practices article. - -**Context:** -- **Review Date**: 2025-12-04 -- **Review Document**: [claude-md-best-practices-humanlayer-article.md](../reviews/claude-md-best-practices-humanlayer-article.md) -- **Related ADRs**: - - [ADR-005: LLM Instruction Capacity Constraints](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - ACCEPTED - - [ADR-006: Progressive Disclosure Pattern](../decisions/adrs/ADR-006-progressive-disclosure-pattern.md) - ACCEPTED -- **Current Status**: Week 1 COMPLETE (2025-12-04) - -## Executive Summary - -All architecture members unanimously agreed on the critical need to restructure our AI assistant documentation to respect LLM instruction capacity constraints. - -**Week 1 Completed (2025-12-04):** -- ✅ CLAUDE.md refactored: 572 → 126 lines (78% reduction, ~14 instructions) -- ✅ AGENTS.md updated: 524 → 418 lines (20% reduction, pointers added) -- ✅ .architecture/agent_docs/ structure created (workflows.md, reference.md, README.md) -- ✅ All content preserved and reorganized -- ✅ ADRs documented and accepted -- ✅ Committed to main branch (commit 8ffc22c) - -**Week 2 In Progress:** -- Update templates to reflect new documentation structure -- Establish instruction counting methodology -- Update setup skills and MCP tools - ---- - -## Phase 1: Review Analysis & Prioritization - -### Critical Findings from Architecture Review - -**Unanimous Agreement (All Members):** -1. File length reduction is critical - exceeded LLM instruction capacity -2. Progressive disclosure pattern necessary for scalability -3. Tool-based enforcement superior to documentation-based guidance - -**Member-Specific Insights:** - -**AI Engineer:** -- Current CLAUDE.md at ~14 instructions (target < 30) ✅ -- AGENTS.md at ~150 instructions (manageable for cross-platform) -- Progressive disclosure needed for task-specific details -- Performance improvement expected from reduced cognitive load - -**Maintainability Expert:** -- Modular structure significantly improves maintainability -- Separate files easier to update and review -- Risk of pointer drift needs management protocol - -**Systems Architect:** -- New structure aligns with existing .architecture/ modularity -- Clear separation of concerns achieved -- Cross-platform compatibility maintained via AGENTS.md - -**Pragmatic Enforcer:** -- Start with consolidated .architecture/agent_docs/ (2-3 files) -- Split files only when justified by usage (> 300 lines) -- Avoid premature modularization -- Current CLAUDE.md refactor appropriate - -**Domain Expert:** -- User journey frequency should drive content organization -- Quick reference table improves discoverability -- Task-oriented structure matches user mental models - -### Prioritization Framework - -| Priority | Criteria | Timeline | -|----------|----------|----------| -| **Critical** | Performance impact, user experience, framework health | Immediate (Week 1) | -| **High** | Scalability, maintainability, cross-assistant compatibility | Week 2-3 | -| **Medium** | Quality of life, documentation completeness | Week 4+ | -| **Low** | Nice-to-have improvements, optimizations | Future releases | - ---- - -## Phase 2: Implementation Roadmap - -### Critical Priority (Week 1) - -#### C1: Create .architecture/agent_docs/ Directory Structure - -**Owner**: Systems Architect -**Status**: ✅ COMPLETE (2025-12-04) -**Dependencies**: None -**Target**: Week 1, Day 1 - -**Action Items:** -1. ✅ Create `.architecture/agent_docs/` directory in project root -2. ✅ Follow Pragmatic Enforcer's recommendation: start consolidated -3. ✅ Initial file structure: - ``` - .architecture/agent_docs/ - ├── workflows.md (387 lines) # Setup, reviews, ADRs, implementation - ├── reference.md (485 lines) # Pragmatic mode, troubleshooting, advanced - └── README.md (186 lines) # Navigation guide for .architecture/agent_docs/ - ``` - -**Success Criteria:** -- [x] Directory created -- [x] Initial files created with headers -- [x] README.md provides clear navigation - -**Rationale:** Pragmatic approach - start with 2-3 consolidated files, split later if justified by usage patterns. - -**Actual Metrics:** -- workflows.md: 387 lines (comprehensive procedures) -- reference.md: 485 lines (advanced topics) -- README.md: 186 lines (navigation guide) - ---- - -#### C2: Extract Setup and Update Procedures from AGENTS.md - -**Owner**: Maintainability Expert -**Status**: ✅ COMPLETE (2025-12-04) -**Dependencies**: C1 -**Target**: Week 1, Day 2 - -**Action Items:** -1. ✅ Identify setup and update procedures in AGENTS.md -2. ✅ Extract to `.architecture/agent_docs/workflows.md` with proper structure: - - Setup procedures (3 installation options with detailed steps) - - Update procedures (for all installation methods) - - Include examples and troubleshooting -3. ✅ Replace in AGENTS.md with pointer references -4. ✅ Validate all references work - -**Success Criteria:** -- [x] Setup procedures extracted to workflows.md -- [x] Update procedures extracted to workflows.md -- [x] AGENTS.md updated with clear pointers -- [x] All internal links validated (13 references to .architecture/agent_docs/) -- [x] AGENTS.md reduced by ~106 lines (524 → 418) - -**Actual Impact:** -- AGENTS.md: 418 lines (from 524, 20% reduction) -- Clearer separation between "always relevant" and "task-specific" -- Better maintainability achieved - ---- - -#### C3: Extract Implementation Methodology Details - -**Owner**: Domain Expert -**Status**: ✅ COMPLETE (2025-12-04) -**Dependencies**: C1 -**Target**: Week 1, Day 3 - -**Action Items:** -1. ✅ Review implementation guidance in AGENTS.md -2. ✅ Determine what stays in AGENTS.md (configuration overview) vs. .architecture/agent_docs/ (detailed methodology explanation) -3. ✅ Extract detailed methodology explanations to `.architecture/agent_docs/workflows.md` -4. ✅ Keep configuration examples and quick reference in AGENTS.md -5. ✅ Add pointers in AGENTS.md to .architecture/agent_docs/workflows.md - -**Success Criteria:** -- [x] Methodology details extracted (6 methodologies documented: TDD, BDD, DDD, Test-Last, Exploratory) -- [x] Configuration examples remain in AGENTS.md (concise YAML example) -- [x] Clear pointers added (to .architecture/agent_docs/workflows.md § Implementation) -- [x] User journey supports both "quick config" and "deep understanding" - -**Actual Impact:** -- AGENTS.md: 418 lines (condensed implementation section with pointer) -- Users can configure quickly without reading methodology details ✓ -- Deep details available in workflows.md (comprehensive methodology guide) - ---- - -#### C4: Create Quick Start Guide in .architecture/agent_docs/README.md - -**Owner**: Domain Expert -**Status**: ✅ COMPLETE (2025-12-04) -**Dependencies**: C2, C3 -**Target**: Week 1, Day 4 - -**Action Items:** -1. ✅ Create navigation guide for .architecture/agent_docs/ -2. ✅ Explain progressive disclosure structure -3. ✅ Map common user tasks to specific sections (10 common tasks mapped) -4. ✅ Include "New User Path" and "Returning User Path" -5. ✅ Link to AGENTS.md and CLAUDE.md - -**Success Criteria:** -- [x] README.md created with clear navigation (186 lines) -- [x] Common tasks mapped to sections (Quick Navigation table with 10 tasks) -- [x] User paths documented (New User and Returning User sections) -- [ ] Testing: 3 users can find task guidance in < 60 seconds (pending user feedback) - -**Actual Content:** -- Progressive disclosure explained (AGENTS.md → CLAUDE.md → .architecture/agent_docs/) -- Quick navigation table (10 common tasks) -- Documentation structure diagram -- Best practices for AI assistants and humans -- Getting help section with resources - -**Content Structure:** -```markdown -# .architecture/agent_docs/ - Detailed Framework Guidance - -## What's Here -- workflows.md: Step-by-step procedures -- reference.md: Advanced topics and troubleshooting - -## Quick Navigation -[Table mapping tasks to sections] - -## New to the Framework? -[Start here path] - -## Returning User? -[Quick lookup path] -``` - ---- - -### High Priority (Week 2) - -#### H1: Update Documentation Templates - -**Owner**: Maintainability Expert -**Status**: Pending -**Dependencies**: C1-C4 -**Target**: Week 2, Day 1-2 - -**Action Items:** -1. Update AGENTS.md template in `.architecture/templates/AGENTS.md` -2. Reflect progressive disclosure structure -3. Include .architecture/agent_docs/ references -4. Update setup instructions to create .architecture/agent_docs/ -5. Add instruction capacity guidance to template comments - -**Success Criteria:** -- [ ] Template updated with new structure -- [ ] Setup process creates .architecture/agent_docs/ -- [ ] Template includes instruction capacity warnings -- [ ] Template includes progressive disclosure examples - ---- - -#### H2: Establish Instruction Counting Methodology - -**Owner**: AI Engineer -**Status**: Pending -**Dependencies**: None (can run parallel with C1-C4) -**Target**: Week 2, Day 3 - -**Action Items:** -1. Define what constitutes a "discrete instruction" -2. Create instruction counting guidelines -3. Document examples of instruction types -4. Create checklist for documentation reviews -5. Add to documentation contribution guidelines - -**Success Criteria:** -- [ ] Instruction definition documented -- [ ] Counting methodology clear and repeatable -- [ ] Examples provided for common instruction types -- [ ] Guideline added to contribution docs - -**Instruction Types to Define:** -- Command/directive ("Create X", "Follow Y") -- Conditional logic ("If X, then Y") -- Reference/lookup ("Check X for Y") -- Process step ("When doing X: step 1, step 2...") - ---- - -#### H3: Update Setup Skills and MCP Tools - -**Owner**: Systems Architect -**Status**: Pending -**Dependencies**: C1-C4, H1 -**Target**: Week 2, Day 4-5 - -**Action Items:** -1. Update `setup-architect` skill to create .architecture/agent_docs/ -2. Populate .architecture/agent_docs/ with content during setup -3. Update MCP server's `setup_architecture` tool -4. Test setup process creates correct structure -5. Update setup documentation - -**Success Criteria:** -- [ ] Skills create .architecture/agent_docs/ structure -- [ ] MCP tools create .architecture/agent_docs/ structure -- [ ] Templates populated correctly -- [ ] Setup tested in sample project -- [ ] Documentation updated - ---- - -### Medium Priority (Week 3-4) - -#### M1: Create Documentation Quality Standards - -**Owner**: Maintainability Expert -**Status**: Pending -**Dependencies**: H2 -**Target**: Week 3 - -**Action Items:** -1. Document instruction capacity targets for each file type -2. Create quarterly review checklist -3. Define content allocation rules (always/frequently/occasionally/rarely relevant) -4. Establish pointer management protocol -5. Create documentation contribution guidelines - -**Success Criteria:** -- [ ] Quality standards documented -- [ ] Review checklist created -- [ ] Content allocation rules clear -- [ ] Pointer management protocol defined -- [ ] Contribution guidelines updated - -**Target Metrics:** -- CLAUDE.md: < 100 lines, < 30 instructions -- AGENTS.md: < 500 lines, < 150 instructions -- .architecture/agent_docs/ files: < 300 lines each (split if exceeded) - ---- - -#### M2: Implement Quarterly Review Process - -**Owner**: Systems Architect -**Status**: Pending -**Dependencies**: M1 -**Target**: Week 3-4 - -**Action Items:** -1. Create quarterly review template -2. Schedule first review (Q1 2025) -3. Define review metrics and success criteria -4. Establish feedback collection mechanism -5. Document review process in AGENTS.md - -**Success Criteria:** -- [ ] Review template created -- [ ] First review scheduled -- [ ] Metrics defined and measurable -- [ ] Feedback mechanism in place -- [ ] Process documented - -**Review Focus Areas:** -- Instruction counts in each file -- Content relevance (usage patterns) -- Pointer accuracy and maintenance -- User feedback and pain points -- Performance metrics (if available) - ---- - -#### M3: Create Migration Guide for Existing Users - -**Owner**: Domain Expert -**Status**: Pending -**Dependencies**: C1-C4, H1 -**Target**: Week 3 - -**Action Items:** -1. Document changes between old and new structure -2. Explain rationale (instruction capacity, progressive disclosure) -3. Provide before/after navigation examples -4. Create FAQ for common questions -5. Include troubleshooting section - -**Success Criteria:** -- [ ] Migration guide created -- [ ] Changes clearly explained -- [ ] Navigation examples provided -- [ ] FAQ addresses common concerns -- [ ] Published and accessible - ---- - -### Low Priority (Future Releases) - -#### L1: User Feedback and Analytics - -**Owner**: AI Engineer -**Status**: Deferred -**Dependencies**: All critical and high priority items -**Target**: v1.3.0+ - -**Action Items:** -1. Determine feedback collection method -2. Track which .architecture/agent_docs/ sections accessed most -3. Measure task completion times -4. Collect user satisfaction metrics -5. Iterate on structure based on data - -**Trigger Conditions:** -- All critical and high priority items completed -- Framework in stable state with new structure -- At least 2 quarters of usage data - ---- - -#### L2: Cross-Assistant Documentation Review - -**Owner**: Systems Architect -**Status**: Deferred -**Dependencies**: L1 -**Target**: v1.3.0+ - -**Action Items:** -1. Test .architecture/agent_docs/ structure with Cursor -2. Test .architecture/agent_docs/ structure with Copilot -3. Identify assistant-specific needs -4. Create assistant-specific supplements if needed -5. Update cross-platform documentation - -**Trigger Conditions:** -- Progressive disclosure pattern proven with Claude Code -- User feedback indicates need for assistant-specific docs -- Other assistants show different instruction capacity constraints - ---- - -## Phase 3: Technical Debt Items - -Items identified in the review that won't be addressed immediately but should be tracked: - -| ID | Description | Impact | Potential Resolution | Notes | -|----|-------------|--------|---------------------|-------| -| TD1 | AGENTS.md still at 524 lines (target < 500) | Medium | Extract more content to .architecture/agent_docs/ | Monitor in Q1 2025 review | -| TD2 | No automated instruction counting | Low | Create script to count instructions | Consider if maintenance burden justifies automation | -| TD3 | Pointer drift risk | Medium | Establish validation process | Add to quarterly review checklist | -| TD4 | No A/B testing capability | Low | User feedback as proxy | Implement if usage grows significantly | - ---- - -## Phase 4: Decision Records - -ADRs created or updated based on this recalibration: - -| ADR ID | Title | Status | Owner | Completion | -|--------|-------|--------|-------|------------| -| ADR-005 | LLM Instruction Capacity Constraints | ✅ Accepted | AI Engineer | 2025-12-04 | -| ADR-006 | Progressive Disclosure Pattern | ✅ Accepted | Systems Architect | 2025-12-04 | -| ADR-007 | Documentation Quality Standards | 📝 Draft | Maintainability Expert | Week 3 | - ---- - -## Phase 5: Implementation Timeline - -### Week 1: Critical Infrastructure - -**Day 1-2:** -- ✅ CLAUDE.md refactored (completed) -- Create .architecture/agent_docs/ structure (C1) -- Extract setup/update procedures (C2) - -**Day 3-4:** -- Extract implementation details (C3) -- Create .architecture/agent_docs/README.md (C4) - -**Day 5:** -- Validation and testing -- Internal documentation review - -### Week 2: High Priority Enhancements - -**Day 1-2:** -- Update templates (H1) -- Establish instruction counting (H2) - -**Day 3-5:** -- Update skills and MCP tools (H3) -- Testing and validation - -### Week 3-4: Medium Priority Improvements - -**Week 3:** -- Documentation quality standards (M1) -- Migration guide (M3) - -**Week 4:** -- Quarterly review process (M2) -- Buffer for adjustments - -### Beyond Week 4: Low Priority and Monitoring - -- Quarterly reviews -- User feedback collection -- Iterative improvements - ---- - -## Pragmatic Enforcer Analysis of This Recalibration Plan - -**Mode**: Balanced - -**Plan Assessment**: - -**Necessity**: 9/10 -- Addresses critical performance issue (instruction capacity exceeded) -- Based on research-backed findings -- Immediate user experience impact -- Framework health critical - -**Complexity**: 5/10 -- Phase 1 is straightforward content reorganization -- Phase 2-3 add governance overhead -- Low priority items appropriately deferred - -**Simplification Recommendations**: - -1. **C1 (.architecture/agent_docs/ structure)**: ✅ Already simplified to 2-3 files per my recommendation -2. **H2 (Instruction counting)**: Could be simpler - start with manual counting, automate ONLY if burden justifies -3. **M2 (Quarterly review)**: Good, but keep lightweight - avoid over-process -4. **L1-L2 (Analytics, cross-assistant)**: ✅ Appropriately deferred - -**Approved Phasing**: -- Phase 1 (Critical): Necessary and appropriately scoped -- Phase 2 (High): Reasonable, but monitor H2 for over-engineering -- Phase 3 (Medium): Quality standards good, but keep simple -- Phase 4 (Low): ✅ Correctly deferred until evidence justifies - -**Overall Recommendation**: ✅ Approve plan with monitoring - -The plan correctly prioritizes solving the immediate problem (instruction capacity) without over-engineering the solution. The deferred items are appropriately held until evidence justifies them. - -**Pragmatic Score**: -- Necessity: 9/10 -- Complexity: 5/10 -- Ratio: 0.56 (Well under target of <1.5) - ---- - -## Success Metrics - -### Quantitative Metrics - -**Instruction Capacity:** -- ✅ CLAUDE.md: < 100 lines (currently 126, target achieved) -- ✅ CLAUDE.md: < 30 instructions (currently ~14, target achieved) -- 🎯 AGENTS.md: < 500 lines (currently 524, target: -24 lines) -- 🎯 .architecture/agent_docs/ files: < 300 lines each (target for future) - -**Performance:** -- Average time-to-find guidance: < 60 seconds (baseline to be established) -- Task completion success rate: > 90% (baseline to be established) - -**Maintainability:** -- Documentation update time: comparable or better than current -- Pointer accuracy: 100% (quarterly validation) - -### Qualitative Metrics - -**User Experience:** -- Users report easier navigation (survey > 8/10) -- AI assistants follow instructions more reliably -- Positive feedback on modular approach - -**Documentation Quality:** -- Quarterly reviews show instruction counts within targets -- Content remains relevant and up-to-date -- No increase in user confusion or support requests - ---- - -## Architecture Member Recommendations - -### Systems Architect - Overall Coherence - -**Recommendation**: Approve plan with emphasis on maintaining system coherence. - -**Key Points:** -- ✅ Progressive disclosure pattern aligns with existing .architecture/ modularity -- ✅ Clear separation: AGENTS.md (what), CLAUDE.md (how for Claude), .architecture/agent_docs/ (details) -- ⚠️ Monitor AGENTS.md size - may need further extraction -- ✅ Cross-platform compatibility maintained - -**Action Items for Team:** -1. Ensure .architecture/agent_docs/ integrates cleanly with existing .architecture/ structure -2. Maintain clear navigation between AGENTS.md, CLAUDE.md, and .architecture/agent_docs/ -3. Document architectural principles that led to this structure - ---- - -### Domain Expert - User Experience - -**Recommendation**: Approve plan with strong focus on user journey validation. - -**Key Points:** -- ✅ Structure now matches user workflow frequency -- ✅ Quick reference table improves discoverability -- ✅ Task-oriented approach aligns with user mental models -- ⚠️ Need user testing to validate navigation - -**Action Items for Team:** -1. Conduct user testing with 5-10 framework users -2. Measure time-to-task-completion before/after -3. Collect feedback on findability -4. Iterate based on real usage patterns - ---- - -### Security Specialist - Risk Assessment - -**Recommendation**: Approve plan with minimal security concerns. - -**Key Points:** -- ✅ No code changes, documentation only -- ✅ No new attack surfaces introduced -- ✅ Maintains version control and audit trail -- ℹ️ Backup strategy appropriate - -**Considerations:** -- Ensure backups are properly secured -- Maintain changelog for documentation structure changes -- Version documentation changes appropriately - ---- - -### Performance Specialist - Performance Impact - -**Recommendation**: Strong approval - expect performance improvements. - -**Key Points:** -- ✅ Reduced cognitive load on LLM -- ✅ Faster processing of always-relevant content -- ✅ Progressive loading aligns with performance best practices -- 📈 Expected improvements in AI assistant response quality - -**Predicted Impact:** -- Faster initial context processing -- More reliable instruction following -- Better AI assistant performance across all workflows - ---- - -### Maintainability Expert - Long-term Health - -**Recommendation**: Approve plan with emphasis on maintenance protocols. - -**Key Points:** -- ✅ Modular structure significantly improves maintainability -- ✅ Clear separation of concerns -- ⚠️ Pointer management requires discipline -- ✅ Quarterly review process critical - -**Action Items for Team:** -1. Establish pointer validation in documentation review process -2. Create simple checklist for quarterly reviews -3. Document maintenance protocols clearly -4. Train contributors on new structure - ---- - -### AI Engineer - AI Integration - -**Recommendation**: Strong approval - aligns with LLM best practices. - -**Key Points:** -- ✅ Respects LLM instruction capacity limits -- ✅ Progressive disclosure optimal for context loading -- ✅ Research-backed approach -- 📊 Measurable improvement expected - -**Validation Plan:** -1. Monitor AI assistant response quality -2. Track instruction following reliability -3. Measure context processing time -4. Collect user satisfaction metrics - ---- - -### Pragmatic Enforcer - Simplicity & YAGNI - -**Recommendation**: Approve with continued vigilance against over-engineering. - -**Key Points:** -- ✅ Solves real, current problem -- ✅ Appropriately deferred speculative features -- ✅ Consolidated approach (2-3 files) vs. premature splitting -- ⚠️ Monitor for creeping complexity in governance processes - -**Vigilance Points:** -1. Keep quarterly reviews lightweight (avoid checklist bloat) -2. Don't automate instruction counting until burden justifies -3. Split .architecture/agent_docs/ files ONLY when usage data or length (> 300 lines) justifies -4. Resist urge to add more governance without evidence of need - ---- - -## Collaborative Synthesis - -**Unanimous Recommendation**: ✅ Approve and implement plan - -**Convergent Points:** -- All members recognize critical need for restructuring -- All members support progressive disclosure pattern -- All members agree on phased approach -- All members emphasize monitoring and iteration - -**Risk Mitigation:** -- Backups created before changes -- User testing planned -- Quarterly review process established -- Metrics defined for success validation - -**Success Factors:** -1. Clear problem definition (instruction capacity exceeded) -2. Research-backed solution (progressive disclosure) -3. Pragmatic implementation (consolidated first, split later) -4. Appropriate governance (lightweight, evidence-based) -5. Team alignment (unanimous approval) - ---- - -## Next Steps (Immediate Actions) - -### This Week (Week 1): - -1. **✅ Day 1 (Completed)**: CLAUDE.md refactored to reference AGENTS.md -2. **📋 Day 2**: Create .architecture/agent_docs/ directory structure (C1) -3. **📋 Day 2-3**: Extract setup/update procedures from AGENTS.md (C2) -4. **📋 Day 3-4**: Extract implementation methodology details (C3) -5. **📋 Day 4**: Create .architecture/agent_docs/README.md with navigation (C4) -6. **📋 Day 5**: Validation, testing, and internal review - -### Next Week (Week 2): - -7. Update templates to reflect new structure (H1) -8. Establish instruction counting methodology (H2) -9. Update setup skills and MCP tools (H3) -10. Testing and validation - -### Ongoing: - -11. Quarterly reviews starting Q1 2025 -12. User feedback collection -13. Iterative improvements based on data - ---- - -## Conclusion - -This recalibration plan translates the research findings and architecture review into concrete, actionable steps. The plan: - -- **Addresses critical issues**: Instruction capacity constraints and documentation structure -- **Follows best practices**: Research-backed progressive disclosure pattern -- **Maintains pragmatism**: Consolidated first, split when justified -- **Establishes governance**: Lightweight, evidence-based processes -- **Achieves team consensus**: Unanimous approval from all architecture members - -The framework is now positioned to: -- Respect LLM instruction capacity limits -- Scale gracefully as content grows -- Maintain high documentation quality -- Provide excellent user experience -- Model best practices for users to adopt - -**Status**: Ready for implementation -**Timeline**: 4 weeks to completion of high-priority items -**Risk Level**: Low (documentation changes, fully reversible) -**Expected Impact**: High (improved AI performance, better UX, maintainability) diff --git a/.architecture/recalibration/progress_tracking_0-1-0.md b/.architecture/recalibration/progress_tracking_0-1-0.md deleted file mode 100644 index 1df72d2..0000000 --- a/.architecture/recalibration/progress_tracking_0-1-0.md +++ /dev/null @@ -1,117 +0,0 @@ -# Implementation Progress Tracking: Version 0.1.0 - -## Overview - -This document tracks the implementation progress of architectural changes identified in the recalibration plan for version 0.1.0 of the AI Software Architect CLI tool. It will be updated regularly as development progresses. - -## Status Summary - -**Last Updated**: May 23, 2025 - -**Overall Progress**: Planning Phase (0%) - -**Key Milestones**: -- ✅ Architecture Review Completed -- ✅ Recalibration Plan Created -- ✅ Implementation Roadmap Defined -- ⬜ Core Architecture Implementation -- ⬜ Repository Analysis Implementation -- ⬜ Architecture Generation Implementation -- ⬜ User Experience Implementation -- ⬜ Version 0.1.0 Release - -## Detailed Task Tracking - -### Core Architecture - -| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | -|---------|-------------|--------|----------|-------------------|-------------------|-------| -| CA1.1 | Define core interfaces for major components | Not Started | TBD | June 1, 2025 | - | - | -| CA1.2 | Implement dependency injection container | Not Started | TBD | June 5, 2025 | - | - | -| CA1.3 | Create command line argument parser | Not Started | TBD | June 3, 2025 | - | - | -| CA1.4 | Implement configuration management system | Not Started | TBD | June 8, 2025 | - | - | -| CA1.5 | Develop logging and error handling framework | Not Started | TBD | June 10, 2025 | - | - | - -**Progress**: 0/5 tasks completed (0%) - -### Repository Analysis - -| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | -|---------|-------------|--------|----------|-------------------|-------------------|-------| -| RA1.1 | Implement repository scanner for detecting languages | Not Started | TBD | June 15, 2025 | - | - | -| RA1.2 | Create security filtering for sensitive paths | Not Started | TBD | June 18, 2025 | - | - | -| RA1.3 | Develop framework detection for common technologies | Not Started | TBD | June 22, 2025 | - | - | -| RA1.4 | Implement code style analysis | Not Started | TBD | June 25, 2025 | - | - | -| RA1.5 | Create project structure analyzer | Not Started | TBD | June 28, 2025 | - | - | - -**Progress**: 0/5 tasks completed (0%) - -### Architecture Generation - -| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | -|---------|-------------|--------|----------|-------------------|-------------------|-------| -| AG1.1 | Implement directory structure creator | Not Started | TBD | July 1, 2025 | - | - | -| AG1.2 | Create template engine with variable substitution | Not Started | TBD | July 5, 2025 | - | - | -| AG1.3 | Develop members.yml generator based on project type | Not Started | TBD | July 10, 2025 | - | - | -| AG1.4 | Implement principles.md customization | Not Started | TBD | July 15, 2025 | - | - | -| AG1.5 | Create validation system for generated artifacts | Not Started | TBD | July 20, 2025 | - | - | - -**Progress**: 0/5 tasks completed (0%) - -### User Experience - -| Task ID | Description | Status | Assignee | Target Completion | Actual Completion | Notes | -|---------|-------------|--------|----------|-------------------|-------------------|-------| -| UX1.1 | Implement interactive CLI workflow | Not Started | TBD | July 5, 2025 | - | - | -| UX1.2 | Create progress reporting for long operations | Not Started | TBD | July 8, 2025 | - | - | -| UX1.3 | Develop clear error messages and recovery suggestions | Not Started | TBD | July 12, 2025 | - | - | -| UX1.4 | Implement non-interactive mode for scripting | Not Started | TBD | July 15, 2025 | - | - | -| UX1.5 | Create comprehensive help documentation | Not Started | TBD | July 20, 2025 | - | - | - -**Progress**: 0/5 tasks completed (0%) - -## Risk Tracking - -| Risk | Impact | Likelihood | Status | Mitigation Actions | Owner | -|------|--------|------------|--------|-------------------|-------| -| Inaccurate repository analysis | High | Medium | Monitoring | Planned validation with test repositories | TBD | -| Performance issues with large repositories | Medium | High | Monitoring | Planning incremental analysis approach | TBD | -| Generated artifacts require significant adjustment | High | Medium | Monitoring | Developing template customization capabilities | TBD | -| Plugin system creates compatibility issues | Medium | Low | Monitoring | Designing strict interface contracts | TBD | -| Security issues with repository analysis | High | Low | Monitoring | Implementing path filtering and security checks | TBD | - -## Decision Records Status - -| ADR ID | Title | Status | Owner | Target Completion | Actual Completion | -|--------|-------|--------|-------|-------------------|-------------------| -| ADR-001 | CLI Functional Requirements | Accepted | N/A | May 23, 2025 | May 23, 2025 | -| ADR-002 | CLI Component Architecture | Not Started | TBD | June 1, 2025 | - | -| ADR-003 | Repository Analysis Strategy | Not Started | TBD | June 10, 2025 | - | -| ADR-004 | Template Generation Approach | Not Started | TBD | June 20, 2025 | - | -| ADR-005 | Plugin Architecture | Not Started | TBD | July 15, 2025 | - | - -## Upcoming Milestones - -| Milestone | Target Date | Current Status | Blockers | -|-----------|-------------|----------------|----------| -| Core Architecture Implementation | June 15, 2025 | Not Started | None | -| Basic Repository Analysis | June 30, 2025 | Not Started | Core Architecture | -| Initial Artifact Generation | July 15, 2025 | Not Started | Repository Analysis | -| Version 0.1.0 Release | July 31, 2025 | Not Started | All previous milestones | - -## Recent Updates - -| Date | Update | -|------|--------| -| May 23, 2025 | Completed architectural review for version 0.1.0 | -| May 23, 2025 | Created recalibration plan based on review findings | -| May 23, 2025 | Defined implementation roadmap with detailed tasks | -| May 23, 2025 | Initialized progress tracking document | - -## Next Steps - -1. Assign owners to tasks and ADRs -2. Begin implementation of core architecture components -3. Create detailed specifications for repository analysis -4. Set up development environment and CI/CD pipeline -5. Schedule weekly progress tracking meetings \ No newline at end of file diff --git a/.architecture/recalibration_process.md b/.architecture/recalibration_process.md deleted file mode 100644 index 2fc34b5..0000000 --- a/.architecture/recalibration_process.md +++ /dev/null @@ -1,127 +0,0 @@ -# Architectural Recalibration Process - -This document outlines the process for translating architectural review findings into updated plans, documentation, and implementation priorities. The recalibration process ensures that each new version incorporates lessons learned and establishes clear quality standards and direction for future development. - -## Process Overview - -The architectural recalibration process consists of the following steps, to be performed after each architectural review: - -1. **Review Analysis & Prioritization** (Week 1) -2. **Architectural Plan Update** (Week 2) -3. **Documentation Refresh** (Week 3) -4. **Implementation Roadmapping** (Week 4) -5. **Progress Tracking** (Ongoing) - -## 1. Review Analysis & Prioritization - -**Goal**: Distill review findings into clear, actionable items with assigned priorities and owners. - -**Activities**: -- Conduct a post-review meeting with key stakeholders (core contributors, architects, and domain representatives) -- Extract all recommendations from the review document -- Categorize recommendations into: - - Architectural changes (structure, components, interfaces) - - Implementation improvements (code-level concerns) - - Documentation enhancements - - Process adjustments -- Assign priority levels (Critical, High, Medium, Low) to each item -- Assign ownership for each item to a specific team member or working group -- Document decisions in a "Recalibration Plan" file in `.architecture/recalibration/[version].md` - -**Output**: Prioritized action item list with owners and target versions - -## 2. Architectural Plan Update - -**Goal**: Update the architectural documentation to reflect the accepted recommendations and new direction. - -**Activities**: -- Create or update architectural decision records (ADRs) for major changes -- Revise component diagrams and interaction models -- Update architectural principles document if needed -- Create migration plans for deprecated components or interfaces -- Document technical debt items that were identified but won't be immediately addressed -- Update the architectural roadmap for the next 2-3 versions - -**Output**: Updated architectural documentation including: -- Revised architecture diagrams -- New/updated ADRs -- Updated architectural principles -- Technical debt inventory -- Architectural roadmap - -## 3. Documentation Refresh - -**Goal**: Ensure all documentation accurately reflects the new architectural direction. - -**Activities**: -- Update README.md and high-level documentation -- Revise API documentation to reflect interface changes -- Create or update examples that demonstrate new architectural patterns -- Update developer guides with new best practices -- Create migration guides for breaking changes -- Update code documentation to reflect architectural changes - -**Output**: Comprehensive, consistent documentation aligned with the new architectural direction - -## 4. Implementation Roadmapping - -**Goal**: Create detailed implementation plans for architectural changes across upcoming versions. - -**Activities**: -- Break down architectural changes into implementable tasks -- Group tasks into logical milestones -- Assign tasks to specific versions based on dependencies and priorities -- Identify test coverage needs for new or changed components -- Create acceptance criteria for architectural changes -- Document implementation approach for complex changes - -**Output**: Version-specific implementation roadmaps with tasks, dependencies, and acceptance criteria - -## 5. Progress Tracking - -**Goal**: Continuously monitor implementation progress and adjust plans as needed. - -**Activities**: -- Create tracking tickets for all architectural changes -- Establish regular check-in meetings to review progress -- Update the recalibration status document monthly -- Record completed architectural changes with version numbers -- Document any deviations from the original plan with justifications -- Assess the impact of completed changes on overall architecture -- Update architectural documentation as changes are implemented - -**Output**: Up-to-date progress tracking and documentation of architectural evolution - -## Version-to-Version Comparison - -After each major or minor version release, create a version comparison document (`.architecture/comparisons/[old_version]-[new_version].md`) that: - -1. Lists all architectural changes implemented in the release -2. Provides before/after diagrams for significant changes -3. Summarizes the impact of changes on: - - Developer experience - - Performance characteristics - - Security posture - - Maintainability metrics - - Observability capabilities -4. Identifies any review recommendations that were deferred or modified during implementation -5. Provides guidance on adapting existing code to the new architecture - -## Templates - -The following templates are used in the recalibration process: - -1. [Recalibration Plan Template](./.architecture/templates/recalibration_plan.md) -2. [Architectural Decision Record Template](./.architecture/templates/adr-template.md) -3. [Version Comparison Template](./.architecture/templates/version_comparison.md) -4. [Implementation Roadmap Template](./.architecture/templates/implementation_roadmap.md) -5. [Progress Tracking Template](./.architecture/templates/progress_tracking.md) - -## Roles and Responsibilities - -- **Architecture Lead**: Coordinates the overall recalibration process -- **Component Owners**: Responsible for specific architectural components -- **Documentation Lead**: Ensures all documentation is updated consistently -- **Implementation Lead**: Coordinates implementation of architectural changes -- **Quality Assurance**: Validates that implemented changes meet architectural requirements -- **Release Manager**: Ensures architectural changes are properly included in releases \ No newline at end of file diff --git a/.architecture/research/claude-marketplace-requirements.md b/.architecture/research/claude-marketplace-requirements.md deleted file mode 100644 index 9af78cf..0000000 --- a/.architecture/research/claude-marketplace-requirements.md +++ /dev/null @@ -1,500 +0,0 @@ -# Claude Marketplace Research: Requirements & Implementation Path - -**Research Date**: 2026-01-21 -**Purpose**: Understand Claude Code plugin marketplace requirements for ADR-011 implementation -**Status**: Initial research complete - -## Executive Summary - -**Critical Finding**: Claude Code uses a **distributed marketplace model**, not a centralized Anthropic-curated app store. Anyone can create and host their own marketplace. This significantly changes our implementation approach. - -### Key Implications for AI Software Architect Framework - -1. **No centralized submission process**: We don't submit to Anthropic for approval -2. **We can create our own marketplace**: Host `marketplace.json` on our GitHub repo -3. **Distribution flexibility**: Users can install directly from our repo without a third-party marketplace -4. **Lower barriers**: No app store review process, faster to market -5. **Less discoverability**: Without a centralized marketplace, discovery depends on our own marketing - -## Marketplace System Architecture - -### How It Works - -``` -User adds marketplace: - /plugin marketplace add anthropics/ai-software-architect - -Claude Code fetches marketplace.json: - https://github.com/anthropics/ai-software-architect/.claude-plugin/marketplace.json - -User installs plugin: - /plugin install architect-tools@ai-software-architect - -Claude Code copies plugin to cache: - ~/.claude/plugin-cache/architect-tools/ -``` - -### Marketplace File Structure - -**Location**: `.claude-plugin/marketplace.json` in repository root - -**Required Fields**: -- `name`: Marketplace identifier (kebab-case) -- `owner`: Object with `name` (required) and `email` (optional) -- `plugins`: Array of plugin entries - -**Plugin Entry Fields**: -- `name`: Plugin identifier (kebab-case, public-facing) -- `source`: Where to fetch plugin (relative path, GitHub repo, or git URL) -- `description`: Brief description -- `version`: Semantic version (optional but recommended) -- `author`: Object with name and email (optional) -- Standard metadata: `homepage`, `repository`, `license`, `keywords` - -### Example Marketplace.json - -```json -{ - "name": "ai-software-architect", - "owner": { - "name": "AI Software Architect Project", - "email": "support@example.com" - }, - "plugins": [ - { - "name": "architect-tools", - "source": "./", - "description": "AI-powered architecture documentation framework", - "version": "1.3.0", - "author": { - "name": "AI Software Architect Team" - }, - "homepage": "https://github.com/anthropics/ai-software-architect", - "repository": "https://github.com/anthropics/ai-software-architect", - "license": "MIT", - "keywords": ["architecture", "adr", "documentation", "reviews"], - "category": "development-tools", - "mcpServers": "./.mcp.json" - } - ] -} -``` - -## Plugin Manifest Requirements - -### File Location - -**Manifest**: `.claude-plugin/plugin.json` at plugin root - -**Important**: All other directories (commands/, agents/, skills/, hooks/) go at plugin root, NOT inside `.claude-plugin/` - -### Required Manifest Fields - -```json -{ - "name": "architect-tools", - "version": "1.3.0", - "description": "AI-powered architecture documentation framework" -} -``` - -### Recommended Optional Fields - -```json -{ - "author": { - "name": "Team Name", - "email": "team@example.com" - }, - "homepage": "https://docs.example.com", - "repository": "https://github.com/org/repo", - "license": "MIT", - "keywords": ["architecture", "documentation"], - "mcpServers": "./.mcp.json" -} -``` - -### Component Configuration - -```json -{ - "commands": "./commands/", // Custom command paths - "agents": "./agents/", // Agent definitions - "skills": "./skills/", // Agent Skills - "hooks": "./hooks/hooks.json", // Event handlers - "mcpServers": "./.mcp.json", // MCP server config - "lspServers": "./.lsp.json" // LSP server config -} -``` - -## Integration with Existing MCP Server - -### Current State - -- **MCP Server**: `mcp/index.js` (1,823 lines) -- **MCP Config**: `mcp/package.json` -- **Version**: 1.3.0 -- **Distribution**: npm package `ai-software-architect` - -### Plugin Wrapper Approach (Thin Wrapper) - -**Strategy**: Create marketplace plugin that references existing MCP npm package - -``` -Repository Structure: -├── .claude-plugin/ -│ ├── marketplace.json # Marketplace catalog -│ └── plugin.json # Plugin manifest -├── .mcp.json # MCP server config (points to npm package) -├── mcp/ # Existing MCP server (unchanged) -│ ├── index.js -│ └── package.json -└── README.md # Installation instructions -``` - -### .mcp.json Configuration - -```json -{ - "mcpServers": { - "ai-software-architect": { - "command": "npx", - "args": ["ai-software-architect"], - "env": { - "PROJECT_ROOT": "${CLAUDE_PROJECT_ROOT}" - } - } - } -} -``` - -This approach: -- Delegates to existing npm package (95%+ code sharing) -- Users install plugin, which installs MCP server via npm -- Changes to MCP package automatically available to plugin users -- No code duplication, single maintenance point - -## Installation & Distribution - -### User Installation Flow - -**Step 1: Add Marketplace** -```bash -/plugin marketplace add anthropics/ai-software-architect -``` - -**Step 2: Install Plugin** -```bash -/plugin install architect-tools@ai-software-architect -``` - -**Alternative: Direct Installation** (no marketplace needed) -```bash -/plugin marketplace add https://github.com/anthropics/ai-software-architect -/plugin install architect-tools -``` - -### Installation Scopes - -| Scope | Location | Use Case | -|-----------|-------------------------------|------------------------------------| -| `user` | `~/.claude/settings.json` | Personal, all projects (default) | -| `project` | `.claude/settings.json` | Team, version controlled | -| `local` | `.claude/settings.local.json` | Project-specific, gitignored | - -### Team Distribution - -For teams, add to `.claude/settings.json`: - -```json -{ - "extraKnownMarketplaces": { - "ai-software-architect": { - "source": { - "source": "github", - "repo": "anthropics/ai-software-architect" - } - } - }, - "enabledPlugins": { - "architect-tools@ai-software-architect": true - } -} -``` - -Users are automatically prompted to install when they trust the project folder. - -## Quality & Validation Requirements - -### No Formal Submission Process - -Unlike iOS App Store or Chrome Web Store: -- No centralized review/approval -- No waiting for Anthropic to review -- Quality standards are self-enforced -- Community-driven curation - -### Validation Tools - -**CLI Validation**: -```bash -claude plugin validate . -# Or from within Claude Code: -/plugin validate . -``` - -**Common Validation Errors**: -- Missing required fields in manifest -- Invalid JSON syntax -- Duplicate plugin names -- Path traversal attempts (`..` in paths) - -### Testing Checklist - -Before distribution: -- [ ] `claude plugin validate .` passes -- [ ] Install locally works: `claude --plugin-dir ./` -- [ ] All MCP tools function correctly -- [ ] Skills invoke properly -- [ ] Hooks trigger on expected events -- [ ] Documentation complete (README, usage examples) - -## Discovery & Marketing - -### Challenge: No Centralized Discovery - -Without a centralized Anthropic marketplace: -- Users must know about our marketplace to add it -- Discovery depends on: - - GitHub stars/trending - - Social media mentions - - Documentation/blog posts - - Word of mouth - - Search engine results - -### Discovery Strategy Recommendations - -1. **GitHub Optimization**: - - Clear README with installation instructions - - "Install with Claude Code" badge - - Topics: `claude-code`, `claude-plugin`, `architecture`, `adr` - - GitHub Discussions for community - -2. **Documentation Hub**: - - Dedicated page: "Install as Claude Code Plugin" - - Copy-paste installation commands - - Video walkthrough - -3. **Community Engagement**: - - Blog post: "AI Software Architect now available as Claude Code plugin" - - Reddit/HN posts - - Discord/Slack communities - -4. **SEO Optimization**: - - Target: "claude code architecture plugin" - - Target: "claude code adr plugin" - - Target: "architecture documentation claude" - -## Technical Constraints & Limitations - -### Plugin Caching Behavior - -**Critical**: Plugins are copied to cache, not used in-place -- Location: `~/.claude/plugin-cache/` -- Implication: Paths like `../shared-utils` won't work -- Solution: Use symlinks or restructure to keep all files in plugin root - -### Path Requirements - -- All paths must be relative -- Must start with `./` -- Cannot traverse outside plugin root (`..`) - -### MCP Server Requirements - -- Must use `${CLAUDE_PLUGIN_ROOT}` for plugin-relative paths -- Must use `${CLAUDE_PROJECT_ROOT}` for project-relative paths -- Must handle both plugin cache and project working directory - -### Version Synchronization - -**Challenge**: Plugin version vs. npm package version - -**Solution**: Thin wrapper approach -- Plugin manifest references npm package -- Plugin version matches npm package version -- Single source of truth: npm package -- Updates: publish npm → update plugin manifest version → users run `/plugin update` - -## Comparison: Original Assumption vs. Reality - -| Aspect | Original Assumption (ADR-011) | Research Findings | -|-------------------------|-------------------------------------|------------------------------------------------| -| **Marketplace Type** | Centralized Anthropic marketplace | Distributed, self-hosted marketplaces | -| **Submission Process** | Review/approval by Anthropic | No submission, self-publish to GitHub | -| **Quality Gates** | Anthropic review requirements | Self-validation with CLI tools | -| **Discoverability** | Marketplace search & ratings | GitHub, SEO, community marketing | -| **First-Mover Advantage**| Critical for early marketplace | Less critical, no central marketplace to "win" | -| **Preparation Timeline**| 6 weeks to meet marketplace standards| 2-3 weeks to create plugin wrapper + docs | -| **Reversibility** | Low (public marketplace presence) | High (just a GitHub repo we control) | -| **Maintenance Burden** | Fourth distribution channel | Thin wrapper, delegates to existing MCP | - -## Revised Implementation Recommendation - -### Phase 1: Create Self-Hosted Marketplace (Week 1-2) - -**Tasks**: -1. Create `.claude-plugin/marketplace.json` in repo root -2. Create `.claude-plugin/plugin.json` manifest -3. Create `.mcp.json` that references npm package -4. Update README with plugin installation instructions -5. Test locally with `claude --plugin-dir ./` -6. Create installation demo video -7. Publish to GitHub - -**Deliverable**: Users can install via `/plugin marketplace add anthropics/ai-software-architect` - -**Effort**: 2 weeks (vs. 6 weeks for centralized marketplace prep) - -### Phase 2: Enhance Discoverability (Ongoing) - -**Tasks**: -1. GitHub Discussions for support -2. Blog post announcement -3. Social media outreach -4. Community engagement (Reddit, Discord, etc.) -5. SEO optimization (documentation, keywords) - -**Deliverable**: Increased awareness and adoption - -**Effort**: Ongoing, low-intensity (1-2 hours/week) - -### Phase 3: Monitor & Iterate (Month 2+) - -**Tasks**: -1. Track installation metrics (GitHub clone rate, discussions activity) -2. Gather user feedback -3. Iterate on plugin features based on usage -4. Consider creating themed marketplaces (e.g., "enterprise-tools", "architecture-plugins") - -## Decision Impact: Path A vs. Path B - -### Path A (Immediate Marketplace) - REVISED - -**Original Plan**: 6-week preparation for centralized marketplace submission - -**Revised Reality**: 2-3 week plugin wrapper creation for self-hosted marketplace - -**Changes**: -- No need for extensive preparation (tests, security audit) before "submission" -- No submission approval process to wait for -- Lower quality bar (self-enforced vs. platform-enforced) -- Can iterate rapidly based on user feedback -- Reduced risk of "rejection" (no reviewer to reject us) - -### Path B (Phased Approach) - LESS COMPELLING - -**Original Rationale**: Validate demand before marketplace investment - -**Revised Reality**: Marketplace investment is minimal (2-3 weeks), less need for validation - -**Reassessment**: -- Phase 1 (GitHub enhancement) still valuable -- Phase 2 (marketplace) is now much cheaper (2-3 weeks vs. 6 weeks) -- Lower barrier means less need for extensive validation -- Could do Phase 1 + Phase 2 simultaneously with minimal additional effort - -## Open Questions & Next Steps - -### Questions for Discussion - -1. **Naming**: Should plugin be named `architect-tools`, `ai-software-architect`, or something else? -2. **Marketplace Name**: Should marketplace be `ai-software-architect` or something more generic like `architecture-tools`? -3. **Multiple Plugins**: Should we create one plugin or separate plugins for different use cases (e.g., `adr-tools`, `review-tools`)? -4. **Installation Scope**: Recommend `--scope user`, `--scope project`, or let users choose? -5. **Skills vs Commands**: Should we migrate existing commands to Skills format (SKILL.md)? - -### Recommended Next Steps (Immediate) - -1. **Create plugin structure** in repository: - ```bash - mkdir -p .claude-plugin - touch .claude-plugin/marketplace.json - touch .claude-plugin/plugin.json - touch .mcp.json - ``` - -2. **Write manifests** based on examples above - -3. **Test locally**: - ```bash - claude --plugin-dir ./ - ``` - -4. **Document installation** in README.md - -5. **Announce** to existing users - -### Long-Term Considerations - -1. **Official Marketplace**: Monitor for Anthropic creating centralized marketplace (may never happen) -2. **Plugin Ecosystem**: Consider creating "architecture tools" marketplace with other related plugins -3. **Competition**: Other architecture tools may create similar plugins (but distributed model means less direct competition) -4. **Sustainability**: Thin wrapper approach makes maintenance sustainable even if adoption is modest - -## Conclusions - -### Major Finding: Distributed vs. Centralized - -The most significant finding is that Claude Code uses a **distributed marketplace model**, not a centralized app store. This fundamentally changes our implementation strategy: - -- **Lower barrier to entry**: No approval process, no waiting -- **Faster to market**: 2-3 weeks vs. 6+ weeks -- **Higher control**: We own the marketplace, set our own standards -- **Discovery challenge**: Must drive awareness ourselves -- **Lower risk**: Easily reversible, no public rejection possibility - -### Recommendation: Proceed with Simplified Path A - -Given the research findings, we recommend: - -1. **Create plugin wrapper immediately** (Week 1-2) - - Minimal preparation needed - - Thin wrapper delegates to existing MCP package - - Self-hosted marketplace on our GitHub repo - -2. **Enhance discoverability simultaneously** (Week 1-2) - - Update README with plugin installation - - Create demo video - - Optimize GitHub presence - -3. **Monitor and iterate** (Month 2+) - - Track adoption metrics - - Gather feedback - - Evolve based on real usage - -**Effort**: 2-3 weeks (down from 6-10 weeks in original Path A) -**Risk**: Low (fully reversible, no submission process) -**Reward**: Improved discoverability for Claude Code users - -### Path B Reassessment - -Path B (phased approach with validation first) is **less compelling** given: -- Phase 2 cost dropped from 6 weeks to 2-3 weeks -- No submission risk to validate against -- Low reversibility risk -- Can do Phase 1 + Phase 2 simultaneously - -**New Recommendation**: Combine Phase 1 (GitHub enhancements) + Phase 2 (plugin creation) into single 2-3 week sprint. - -## References - -- [Claude Code Plugin Marketplaces Documentation](https://code.claude.com/docs/en/plugin-marketplaces.md) -- [Claude Code Plugins Documentation](https://code.claude.com/docs/en/plugins.md) -- [Claude Code Plugins Reference](https://code.claude.com/docs/en/plugins-reference.md) -- [ADR-011: Claude Marketplace Plugin Implementation](./../decisions/adrs/ADR-011-claude-marketplace-plugin-implementation.md) -- [Architecture Review: Claude Marketplace Plugin](./../reviews/claude-marketplace-plugin.md) - ---- - -**Next Action**: Review findings with maintainer, decide whether to proceed with simplified Path A or adjust timeline/approach based on distributed marketplace reality. diff --git a/.architecture/reviews/0-1-0.md b/.architecture/reviews/0-1-0.md deleted file mode 100644 index dcdb8ec..0000000 --- a/.architecture/reviews/0-1-0.md +++ /dev/null @@ -1,308 +0,0 @@ -# Architectural Review: Version 0.1.0 - -## Overview - -This document contains the comprehensive architectural review for version 0.1.0 of the AI Software Architect CLI tool, conducted from May 22, 2025 to May 23, 2025. The review evaluates the proposed architecture against project goals, industry best practices, and future requirements. - -## Review Details - -- **Version Reviewed**: 0.1.0 -- **Review Period**: May 22, 2025 - May 23, 2025 -- **Review Team**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer -- **Review Methodology**: Multi-perspective analysis with collaborative consolidation - -## Executive Summary - -The proposed CLI tool for the AI Software Architect framework has a sound architectural foundation with well-defined responsibilities and a clear value proposition. The tool addresses a critical adoption barrier by automating the setup process while preserving the integrity of the architectural framework. - -Key strengths include its modular design, alignment with framework principles, and support for both interactive and automated usage. Critical concerns center around repository analysis accuracy, handling diverse project structures, and maintaining flexibility without overwhelming users with options. - -The architecture would benefit from stronger validation mechanisms, clearer extension points, and more robust handling of edge cases. Overall, the proposed design provides a solid foundation for initial implementation while allowing for future growth. - -**Overall Architecture Health**: Good - -**Key Strengths**: -- Modular design with clear separation of concerns -- Strong alignment with existing framework patterns -- Thoughtful balance between automation and customization - -**Critical Concerns**: -- Potential inaccuracy in repository analysis -- Complexity of handling diverse project structures and frameworks -- Security considerations around code analysis and file generation - -## Individual Perspectives - -### Systems Architect Review - -**Reviewer**: Systems Architect - -**Strengths**: -- Clean separation between analysis, generation, and user interaction components -- Extensible design for supporting different languages and frameworks -- Appropriate use of command pattern for operations -- Framework-aligned architecture that practices what it preaches - -**Weaknesses**: -- Interface boundaries between modules could be more clearly defined -- Dependency flow needs refinement to prevent tight coupling -- Error handling strategy lacks detail, particularly for partial failures -- Configuration management approach needs elaboration - -**Recommendations**: -- Define clear interfaces between major components using dependency inversion -- Implement a plugin architecture for language/framework-specific analyzers -- Create a robust error recovery mechanism for partial failures -- Consider using an event-based system for loose coupling between components -- Develop a comprehensive configuration schema with validation - -### Domain Expert Review - -**Reviewer**: Domain Expert - -**Strengths**: -- Strong domain model that captures architectural concepts accurately -- Alignment with core architectural principles of the framework -- Careful consideration of user workflows and mental models -- Appropriate vocabulary and terminology in user-facing components - -**Weaknesses**: -- Potential disconnect between generic templates and domain-specific needs -- Insufficient guidance for domain-specific architectural patterns -- Limited provisions for capturing domain models in generated artifacts -- Lack of domain-specific validation rules for architectural artifacts - -**Recommendations**: -- Incorporate domain-specific template variations for common project types -- Develop a mechanism to detect and suggest domain patterns from code analysis -- Include domain model extraction capabilities in the repository analyzer -- Create extensible validation rules that can incorporate domain-specific concerns -- Consider a template repository for domain-specific architectural patterns - -### Security Specialist Review - -**Reviewer**: Security Specialist - -**Strengths**: -- No persistent network connections required for core functionality -- Local-only operation reduces attack surface -- Clear separation between analysis and generation phases -- No requirement for privileged access beyond repository files - -**Weaknesses**: -- Repository analysis could potentially access sensitive code or configurations -- Generated files may inadvertently expose architectural weaknesses -- Limited guidance for security-focused architectural reviews -- No mechanisms to identify security concerns during analysis - -**Recommendations**: -- Implement pattern detection for security-sensitive code during analysis -- Include security-focused roles and perspectives in generated members.yml -- Add security-specific sections to architectural templates -- Create safeguards against analyzing or generating files in sensitive directories -- Include security best practices in generated principles document -- Add option to exclude sensitive paths from analysis - -### Maintainability Expert Review - -**Reviewer**: Maintainability Expert - -**Strengths**: -- Modular design promotes maintainability -- Clear separation of concerns -- Configuration-driven approach reduces hardcoded values -- Strong alignment with the framework's own architectural principles - -**Weaknesses**: -- Complexity of language-specific analyzers may become unwieldy -- Potential for duplication in template generation logic -- Maintenance burden of supporting multiple AI assistant configurations -- Unclear strategy for evolving the tool alongside the framework - -**Recommendations**: -- Implement a robust testing strategy with high coverage -- Establish clear conventions for adding new analyzers and generators -- Create comprehensive documentation for maintainers -- Consider using a template engine with inheritance to reduce duplication -- Develop a versioning strategy that aligns tool versions with framework versions -- Automate integration testing with sample repositories - -### Performance Specialist Review - -**Reviewer**: Performance Specialist - -**Strengths**: -- Analysis limited to relevant files reduces processing overhead -- Generation phase separate from analysis allows for optimization -- Local operation eliminates network latency -- Command-based architecture allows for future parallelization - -**Weaknesses**: -- Analysis of large repositories could be time-consuming -- No clear strategy for caching analysis results -- Potential for redundant file I/O operations -- Limited consideration for resource constraints on lower-end systems - -**Recommendations**: -- Implement progressive analysis that prioritizes key files -- Create a caching mechanism for analysis results -- Optimize file I/O through batched operations -- Add progress reporting for long-running operations -- Consider parallelization for independent analysis tasks -- Implement configuration options for resource-constrained environments - -### AI Engineer Review - -**Reviewer**: AI Engineer - -**Strengths**: -- Strong focus on generating AI-assistant-friendly architectural artifacts -- Recognition of different assistant capabilities and configurations -- Support for framework features designed to enhance AI collaboration -- Thoughtful approach to structured document generation - -**Weaknesses**: -- Limited mechanisms for AI assistants to participate in the setup process -- Insufficient guidance for optimal AI prompting patterns -- No provisions for capturing assistant-specific architectural constraints -- Lack of integration with AI assistant APIs for dynamic configuration - -**Recommendations**: -- Generate assistant-specific guidance files with optimal prompting patterns -- Incorporate AI-readable metadata in generated files -- Create mechanisms for assistants to suggest architectural improvements -- Develop machine-readable mappings between code patterns and architectural concepts -- Consider interactive AI-guided setup mode leveraging assistants during configuration -- Include template prompt library for common architectural tasks - -## Collaborative Analysis - -This section reflects the consensus reached after cross-functional discussion of individual findings. - -### Consolidated Strengths - -1. **Modular Architecture** - The separation of analysis, generation, and interaction components creates a maintainable and extensible system. -2. **Framework Alignment** - The tool embodies the architectural principles it helps implement, creating a cohesive experience. -3. **Balanced Automation** - The design strikes a good balance between automation and user customization. -4. **Local Operation** - Operating locally without external dependencies enhances security and reliability. -5. **Assistant Integration** - Strong recognition of the importance of AI assistant integration in the modern development workflow. - -### Consolidated Weaknesses - -1. **Analysis Accuracy** - Repository analysis may struggle with complex or unconventional project structures. -2. **Template Customization** - Finding the right balance between generic and project-specific templates is challenging. -3. **Maintenance Complexity** - Supporting multiple languages, frameworks, and assistant platforms creates significant maintenance burden. -4. **Limited Validation** - Insufficient mechanisms for validating the quality and consistency of generated artifacts. -5. **Security Considerations** - Potential exposure of sensitive information during analysis or in generated artifacts. - -### Prioritized Improvements - -**Critical (Address in next release)**: -1. Implement clear interfaces between major components with dependency inversion -2. Create a plugin architecture for language/framework analyzers -3. Develop comprehensive security safeguards for repository analysis -4. Establish a robust validation system for generated artifacts - -**High (Address within next 2 releases)**: -1. Create template customization mechanisms that balance flexibility and consistency -2. Implement performance optimizations for large repository analysis -3. Develop AI-readable metadata for generated architectural artifacts -4. Create assistant-specific guidance files with optimal prompting patterns - -**Medium (Address within next 3-4 releases)**: -1. Implement domain-specific template variations -2. Create caching mechanisms for analysis results -3. Develop a version compatibility strategy -4. Add interactive AI-guided setup mode - -**Low (Address as resources permit)**: -1. Implement parallel processing for independent analysis tasks -2. Create a template repository for domain-specific patterns -3. Develop metrics for measuring architecture quality -4. Add visualization capabilities for architectural relationships - -## Technical Debt Assessment - -| Area | Current Debt Level | Trend | Impact | Notes | -|------|-------------------|-------|--------|-------| -| Analysis Engine | Medium | Increasing | High | Will grow more complex as more languages are supported | -| Template System | Low | Stable | Medium | Could benefit from a more sophisticated template engine | -| Configuration Management | Medium | Increasing | Medium | Will become more complex as options increase | -| Testing Coverage | High | Increasing | High | Complex analysis logic requires extensive testing | -| Documentation | Medium | Stable | Medium | Needs ongoing investment to remain current | - -## Architectural Evolution - -### Current Architecture vs. Target Architecture - -The initial architecture focuses on core analysis and generation capabilities with a straightforward command-line interface. The target architecture should evolve to include: - -1. **Plugin System**: A formalized plugin architecture for language analyzers and generators -2. **Enhanced AI Integration**: Deeper integration with AI assistants for interactive architecture work -3. **Validation Framework**: Comprehensive validation of architectural artifacts -4. **Metrics and Insights**: Tools for measuring and improving architectural quality -5. **Visualization**: Visual representation of architectural relationships and concepts - -The path from current to target architecture should maintain backward compatibility while incrementally adding capabilities. - -### Migration Path - -1. **Version 0.1.0**: Establish core functionality with basic analysis and generation -2. **Version 0.2.0**: Introduce plugin architecture and improve template customization -3. **Version 0.3.0**: Enhance AI assistant integration and add validation framework -4. **Version 1.0.0**: Complete initial feature set with performance optimizations and comprehensive testing -5. **Future Versions**: Add metrics, visualization, and advanced features - -## Conclusion - -The proposed architecture for the AI Software Architect CLI tool provides a solid foundation for automating the setup and maintenance of architectural documentation. By addressing the prioritized improvements, particularly around component interfaces, plugin architecture, and validation, the tool can evolve into a robust solution that significantly enhances the adoption and effectiveness of the architectural framework. - -The design appropriately balances automation with customization, local operation with extensibility, and simplicity with power. With attention to the concerns raised in this review, particularly around security, performance with large repositories, and maintenance complexity, the tool has the potential to become an essential part of the architectural toolkit. - -## Appendices - -### A. Review Methodology - -This review followed the multi-perspective approach outlined in the AI Software Architect framework: - -1. Individual reviewers evaluated the proposed architecture from their specialized perspectives -2. Reviewers collaborated to discuss findings and resolve conflicts -3. A consolidated analysis was produced reflecting balanced input from all perspectives -4. Prioritized improvements were identified based on consensus importance and impact - -### B. Architecture Diagrams - -#### Component Diagram - -``` -┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ -│ │ │ │ │ │ -│ CLI Interface │────▶│ Core Engine │────▶│ Generators │ -│ │ │ │ │ │ -└─────────────────┘ └────────┬────────┘ └─────────────────┘ - │ - ▼ - ┌─────────────────┐ - │ │ - │ Analyzers │ - │ │ - └─────────────────┘ -``` - -#### Data Flow Diagram - -``` -┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ -│ │ │ │ │ │ │ │ -│ Repository │────▶│ Analysis │────▶│ Generation │────▶│ Output │ -│ Files │ │ Results │ │ Config │ │ Files │ -│ │ │ │ │ │ │ │ -└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ -``` - -### C. Referenced Documents - -- [ADR-001: CLI Functional Requirements](../decisions/adrs/ADR-001-cli-functional-requirements.md) -- [Architecture Considerations](../decisions/ArchitectureConsiderations.md) -- [Architectural Principles](../principles.md) -- [Architecture Review Process](../templates/review-template.md) \ No newline at end of file diff --git a/.architecture/reviews/claude-marketplace-plugin.md b/.architecture/reviews/claude-marketplace-plugin.md deleted file mode 100644 index 01ec84b..0000000 --- a/.architecture/reviews/claude-marketplace-plugin.md +++ /dev/null @@ -1,1900 +0,0 @@ -# Architecture Review: Claude Marketplace and Plugin - -**Date**: 2026-01-21 -**Review Type**: Feature -**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Performance Specialist, Maintainability Expert, Implementation Strategist, AI Engineer, Pragmatic Enforcer - -## Executive Summary - -This review evaluates the architectural approach for creating a Claude marketplace presence and plugin for the AI Software Architect framework. The framework currently has three distribution channels (Claude Skills, MCP Server, Traditional Clone) and strong organic growth through GitHub. The marketplace represents a fourth distribution channel that would improve discoverability for Claude-native users but introduces significant complexity and maintenance burden for a solo-maintained project. - -**Overall Assessment**: Adequate with Strategic Considerations - -The marketplace opportunity is real and the technical foundation is solid, but the timing and readiness require careful consideration. The codebase needs 4-7 weeks of preparation (testing, refactoring, security audit, performance optimization) before being marketplace-ready. Additionally, the maintenance burden of a fourth distribution channel creates sustainability concerns for a solo maintainer. - -**Key Findings**: -- **Strong Foundation**: Existing MCP server provides excellent technical base for marketplace plugin -- **Preparation Gap**: 4-7 weeks of hardening needed (tests, security audit, refactoring, performance benchmarks) -- **Maintenance Burden**: Fourth distribution channel significantly increases ongoing support obligations -- **Phased Opportunity**: Enhanced GitHub presence could deliver immediate value while validating marketplace demand - -**Critical Actions**: -- **Decision Point**: Determine if NOW is the right time for marketplace submission vs. enhanced GitHub presence first -- **If Marketplace**: Complete 4-7 week preparation checklist before submission to ensure quality and sustainability -- **If GitHub First**: Implement 2-week enhancement plan, establish triggers for future marketplace submission - ---- - -## System Overview - -**Feature**: Claude Marketplace Plugin for AI Software Architect Framework - -**Current State**: -- **Version**: 1.3.0 -- **Distribution Channels**: - 1. Claude Skills (reusable skills in ~/.claude/skills/) - 2. MCP Server (npm package: ai-software-architect) - 3. Traditional Clone (git clone to .architecture/) -- **Technology Stack**: Node.js 18+, @modelcontextprotocol/sdk, YAML, Markdown templates -- **Maintenance**: Solo maintainer (appears single contributor) -- **Growth**: Organic through GitHub, documentation, community - -**Proposed Addition**: -- **Fourth Channel**: Claude Marketplace plugin listing -- **Implementation**: Thin wrapper around existing MCP server -- **Benefits**: Improved discoverability, marketplace trust signals, auto-updates, ratings/reviews -- **Challenges**: Preparation work, ongoing maintenance, marketplace compliance, support scaling - -**Key Constraints**: -- Solo maintainer with limited capacity for multi-channel support -- Marketplace submission requires production-grade quality (tests, security, performance) -- Once submitted, creates ongoing obligation to marketplace users and policies -- Must maintain feature parity across all four channels - ---- - -## Individual Member Reviews - -### Systems Architect - Senior Systems Architect - -**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. - -#### Key Observations -- Framework has mature three-channel distribution model - marketplace adds fourth with different integration surface -- MCP server already implements stdio transport protocol - good foundation for marketplace plugin -- Version synchronization across four channels becomes critical architectural concern -- Progressive disclosure pattern (ADR-005) positions framework well for marketplace token constraints -- Discovery problem is real - GitHub requires users to find repo manually - -#### Strengths -1. **Modular Architecture**: Clean separation between Skills, MCP, and Traditional shows solid abstraction - marketplace plugin can leverage this -2. **Mature Codebase**: Framework has ADRs, reviews, principles, examples - demonstrates production readiness -3. **Multi-Client Support**: Already works with Claude Code and Cursor - marketplace extends to Claude-native discovery -4. **Progressive Disclosure Design**: Instruction capacity optimization is marketplace competitive advantage -5. **Clear Value Proposition**: "Externalizing senior architectural thinking" is compelling marketplace positioning - -#### Concerns - -1. **Marketplace Submission Requirements** (Impact: Critical) - - **Issue**: Claude marketplace has specific requirements (metadata, icons, descriptions, categories) that are currently undefined - - **Why it matters**: Submission may be rejected or delayed if requirements not met upfront - - **Recommendation**: Research Claude marketplace plugin submission guidelines and technical requirements before design phase (1-2 days research) - -2. **Plugin Distribution Model** (Impact: High) - - **Issue**: Unclear whether marketplace plugin should be standalone package or pointer to existing MCP server - - **Why it matters**: Standalone creates maintenance burden, pointer may limit marketplace-specific features - - **Recommendation**: Design marketplace listing as metadata wrapper that installs existing npm package (ai-software-architect) - maintains single codebase (1 day design + ADR) - -3. **Version Synchronization** (Impact: High) - - **Issue**: Four distribution channels must stay synchronized - Skills, MCP, Traditional, Marketplace - - **Why it matters**: Version drift causes user confusion, support burden, fragmentation - - **Recommendation**: Marketplace plugin should share version number with MCP server, automated release pipeline updates all channels simultaneously (2-3 days automation setup) - -4. **User Journey Complexity** (Impact: Medium) - - **Issue**: Four installation paths create decision paralysis - users don't know which to choose - - **Why it matters**: Poor first impression, increased support questions, fragmented adoption - - **Recommendation**: Create installation decision tree in marketplace description and README: "Use marketplace if X, use Skills if Y, use MCP if Z" (1 day documentation) - -5. **Marketplace-Specific Features** (Impact: Medium) - - **Issue**: Marketplace may enable features not possible with other channels (auto-updates, ratings, in-app notifications) - - **Why it matters**: Feature parity vs platform optimization trade-off - - **Recommendation**: Start with feature parity (thin wrapper), evaluate marketplace-specific enhancements after 3 months of usage data (3-5 days future feature analysis) - -#### Recommendations - -1. **Research Marketplace Requirements** (Priority: High, Effort: Small) - - **What**: Study Claude marketplace submission process, technical requirements, review criteria - - **Why**: Prevents rework and rejection risk - - **How**: Review marketplace docs, analyze successful plugins, create requirements checklist - -2. **Design Thin Wrapper Architecture** (Priority: High, Effort: Medium) - - **What**: Architect marketplace plugin as metadata layer over existing MCP server - - **Why**: Minimizes code duplication and maintenance burden - - **How**: Create marketplace manifest that points to npm package, add marketplace-specific config layer - -3. **Automate Multi-Channel Releases** (Priority: High, Effort: Medium) - - **What**: CI/CD pipeline that publishes to npm, updates Skills, triggers marketplace update from single tag - - **Why**: Ensures version synchronization and reduces manual work - - **How**: GitHub Actions workflow triggered by version tag - -4. **Create Installation Decision Tree** (Priority: Medium, Effort: Small) - - **What**: Flowchart and clear guidance on which installation method for which use case - - **Why**: Reduces user confusion and support burden - - **How**: Diagram in README and marketplace description with persona-based recommendations - ---- - -### Domain Expert - Domain Expert - -**Perspective**: Evaluates how well the architecture represents and serves the problem domain and business concepts. - -#### Key Observations -- "AI Software Architect" domain concept is clear and differentiated - marketplace listing must preserve this -- Three user personas visible: solo developers (quick start), teams (collaboration), enterprises (governance) - marketplace targets all three -- Value streams are documentation (ADRs), reviews (quality), methodology (implementation) - all must be accessible in marketplace context -- Market position is currently GitHub-first - marketplace expands to Claude-native users who may not browse GitHub -- No direct competitors visible in Claude marketplace for architecture documentation tools - first-mover opportunity - -#### Strengths -1. **Clear Domain Language**: Terms like ADR, architecture review, pragmatic mode map to established industry concepts -2. **Domain-Driven Design**: Framework follows its own DDD principles - uses bounded contexts, ubiquitous language -3. **User-Centric Commands**: Natural language patterns ("Create ADR for X") align with how users think -4. **Recognized Domain Artifacts**: ADRs, reviews, recalibration plans are industry-standard deliverables -5. **Progressive Complexity**: Beginners can start with ADRs, advanced users leverage full review workflow - -#### Concerns - -1. **Marketplace Category Selection** (Impact: Critical) - - **Issue**: Plugin category in marketplace affects discoverability - wrong category means low visibility - - **Why it matters**: Primary discovery mechanism for marketplace users - - **Recommendation**: Choose "Development Tools" as primary category with secondary tags "Architecture", "Documentation", "Team Collaboration" (1 hour decision, document rationale) - -2. **Domain Terminology Accessibility** (Impact: High) - - **Issue**: "ADR" and "architecture review" may be unfamiliar to junior developers or non-technical Claude users - - **Why it matters**: Terminology barrier reduces adoption from broader audience - - **Recommendation**: Marketplace description should explain terms progressively - start with problem space, introduce terminology naturally: "Making big technical decisions? Document them as ADRs (Architecture Decision Records)" (2-3 days copywriting + user testing) - -3. **Onboarding Flow** (Impact: High) - - **Issue**: New marketplace users may not understand framework workflow - where to start, what to do first - - **Why it matters**: Poor onboarding leads to abandonment and low ratings - - **Recommendation**: Design interactive first-run tutorial: "Let's create your first ADR together" with guided prompts (3-5 days tutorial design + implementation) - -4. **Use Case Clarity** (Impact: Medium) - - **Issue**: Marketplace users need immediate "aha!" moment about when to use the plugin - - **Why it matters**: Generic descriptions don't convert to installs - - **Recommendation**: Lead with concrete scenarios in description: "Making an architecture decision? Document it. Launching new version? Review it. Onboarding team members? Share principles." (1 day scenario writing) - -5. **Domain Model Customization** (Impact: Medium) - - **Issue**: members.yml defines architecture team specialists but users may not know they can customize - - **Why it matters**: Customization is key value prop but may be hidden from marketplace users - - **Recommendation**: Expose member customization in plugin settings UI as first-class feature (2-3 days UI design) - -#### Recommendations - -1. **Define Marketplace Positioning** (Priority: High, Effort: Small) - - **What**: Craft marketplace positioning statement: "Architecture documentation and decision-making for software teams" - - **Why**: Clear positioning drives discovery and conversion - - **How**: Workshop positioning, test with sample users, validate in marketplace context - -2. **Write Progressive Terminology Explanation** (Priority: High, Effort: Medium) - - **What**: Marketplace description that introduces concepts progressively - problem first, terminology second - - **Why**: Reduces barrier to adoption from broader audience - - **How**: Start with pain points ("Ever regret a technical decision?"), introduce solution, explain terms - -3. **Design Onboarding Tutorial** (Priority: High, Effort: Medium) - - **What**: Interactive first-run experience that guides user through creating first ADR - - **Why**: Successful first experience drives retention and ratings - - **How**: Detect first use, prompt for sample decision, walk through ADR creation steps - -4. **Create Use Case Examples** (Priority: Medium, Effort: Small) - - **What**: Concrete scenarios and examples in marketplace description - - **Why**: Users need to see themselves in the story - - **How**: Write 3-5 specific scenarios with before/after states - ---- - -### Security Specialist - Security Specialist - -**Perspective**: Reviews the architecture from a security-first perspective, identifying potential vulnerabilities and security implications. - -#### Key Observations -- Marketplace provides trust verification layer - users trust marketplace plugins more than arbitrary GitHub repos -- Plugin will request file system permissions to create .architecture/ directory and files -- Framework creates files containing architectural decisions - may include sensitive business information -- Dependency chain includes @modelcontextprotocol/sdk - inherits its security posture -- MCP server executes Node.js code - sandbox boundaries and permission model are critical - -#### Strengths -1. **Read-Only Default**: Framework primarily reads project files for analysis, rarely modifies code -2. **Explicit Permissions**: MCP model requires explicit permission grants - users control access scope -3. **No External APIs**: Framework doesn't call external services - eliminates data exfiltration risk -4. **Transparent Operations**: All file operations visible to user through Claude interface -5. **Version Pinning**: package.json uses exact dependency versions - reduces supply chain attack surface - -#### Concerns - -1. **Marketplace Permission Boundaries** (Impact: Critical) - - **Issue**: Plugin must declare required permissions upfront - over-requesting causes user distrust - - **Why it matters**: Permission prompt is first user interaction - sets trust tone - - **Recommendation**: Request minimal permissions: read project files (for analysis), write .architecture directory only (never modify code). Document why each permission is needed (1 day permission audit + 1 day documentation) - -2. **Sensitive Data Handling** (Impact: High) - - **Issue**: ADRs may contain proprietary architectural decisions, technology choices, security patterns - - **Why it matters**: Users need confidence that sensitive business information stays local - - **Recommendation**: Marketplace description must prominently state: "All data stays local on your machine. Never transmitted to external services. You control what's in your ADRs." (1 day security policy writing + legal review if applicable) - -3. **Dependency Vulnerability Scanning** (Impact: High) - - **Issue**: npm dependencies may have known vulnerabilities - marketplace may reject plugins with CVEs - - **Why it matters**: Supply chain vulnerabilities affect all users, harm marketplace reputation - - **Recommendation**: Implement automated `npm audit` in CI/CD pipeline, block releases with high/critical vulnerabilities, maintain dependency update schedule (1 day CI setup + ongoing maintenance) - -4. **File System Isolation** (Impact: Medium) - - **Issue**: Plugin creates files in user projects - risk of namespace collision or unintended writes - - **Why it matters**: Writing outside .architecture/ would be severe violation of user trust - - **Recommendation**: Code audit to ensure all file writes are within .architecture/ namespace, validation tests to prevent path traversal (1 day audit + validation tests) - -5. **Secrets Detection** (Impact: Medium) - - **Issue**: Users might accidentally commit API keys, credentials, or tokens in ADR content - - **Why it matters**: ADRs are committed to git - accidental secret exposure risk - - **Recommendation**: Add optional pre-commit hook that warns about potential secrets (patterns like "password=", API keys, tokens) in .architecture files (2-3 days hook implementation) - -#### Recommendations - -1. **Security Audit** (Priority: High, Effort: Small) - - **What**: Comprehensive security review of MCP server code, dependency analysis, permission model - - **Why**: Marketplace submission may require security review, users expect security rigor - - **How**: Run `npm audit`, manual code review for file operations, document security model - -2. **Document Data Handling Policy** (Priority: High, Effort: Small) - - **What**: Clear statement of how plugin handles user data, what's stored, what's transmitted - - **Why**: Trust is foundation of marketplace success - - **How**: Write policy document, include in marketplace description and README - -3. **Implement File System Isolation Tests** (Priority: High, Effort: Small) - - **What**: Automated tests that verify all file writes stay within .architecture/ namespace - - **Why**: Prevents accidental or malicious writes to user codebase - - **How**: Integration tests that attempt path traversal, verify rejection - -4. **Create Security Checklist** (Priority: Medium, Effort: Small) - - **What**: Pre-submission security checklist covering permissions, dependencies, data handling, isolation - - **Why**: Ensures nothing is missed before marketplace review - - **How**: Document checklist, integrate into release process - ---- - -### Performance Specialist - Performance Specialist - -**Perspective**: Focuses on performance implications of architectural decisions and suggests optimizations. - -#### Key Observations -- Marketplace likely measures plugin response time - slow plugins get lower visibility/ratings -- Framework performs multiple file I/O operations - YAML configs, markdown templates, project analysis -- MCP server startup time affects user experience - should be under 500ms for responsive feel -- Node.js process memory footprint matters in multi-plugin scenarios - target under 50MB baseline -- Progressive disclosure pattern (ADR-005) already optimizes instruction token usage - good foundation - -#### Strengths -1. **Lazy Loading**: Skills architecture uses progressive disclosure - only loads detailed docs when needed -2. **Minimal Dependencies**: MCP package has only 4 direct dependencies (yaml, fs-extra, @modelcontextprotocol/sdk, zod) - small bundle -3. **Streaming Transport**: stdio transport enables streaming responses - efficient for large reviews -4. **Config Caching**: members.yml and config.yml only read once per operation - avoids repeated parsing -5. **No Database**: File-based storage eliminates database overhead and complexity - -#### Concerns - -1. **Initial Setup Performance** (Impact: High) - - **Issue**: `setupArchitecture()` copies entire framework tree, analyzes project - can take 5-10 seconds - - **Why it matters**: First impression matters - slow setup feels unpolished - - **Recommendation**: Add progress indicators ("Analyzing project structure...", "Creating templates..."), optimize file copying with streams, parallelize analysis tasks (3-4 days optimization + UX improvements) - -2. **YAML Parsing Overhead** (Impact: Medium) - - **Issue**: yaml.parse() called on every operation to load config.yml and members.yml - adds latency - - **Why it matters**: Repeated parsing for frequently-used configs is wasteful - - **Recommendation**: Implement in-memory cache for config files with file watcher for invalidation - cache persists across operations (2-3 days caching layer implementation) - -3. **Large Project Analysis** (Impact: Medium) - - **Issue**: `analyzeProject()` reads package.json, scans directories - scales poorly for monorepos with thousands of files - - **Why it matters**: Analysis timeout or excessive delay in large projects creates poor UX - - **Recommendation**: Add configurable timeout limits, implement sample-based analysis for large projects, allow user to configure scan depth (2-3 days optimization) - -4. **Template File I/O** (Impact: Low-Medium) - - **Issue**: Template files read from disk on every ADR or review creation - - **Why it matters**: Repeated I/O for static content is inefficient - - **Recommendation**: Pre-load templates into memory at server startup - one-time cost (1 day implementation) - -5. **Concurrent Operations** (Impact: Low) - - **Issue**: Multiple users or concurrent operations may contend for file locks or config access - - **Why it matters**: Race conditions could corrupt files or cause errors - - **Recommendation**: Implement operation queuing for concurrent safety, use atomic file writes (2-3 days queue implementation) - -#### Recommendations - -1. **Benchmark Current Performance** (Priority: High, Effort: Small) - - **What**: Establish baseline metrics - startup time, setup duration, operation latency, memory footprint - - **Why**: Can't optimize what you don't measure - - **How**: Create performance test suite, run on reference project, document baselines - -2. **Implement Config Caching** (Priority: High, Effort: Medium) - - **What**: In-memory cache for config.yml and members.yml with file watcher for invalidation - - **Why**: Eliminates repeated YAML parsing overhead - - **How**: Use Map cache, fs.watch() for invalidation, clear on config changes - -3. **Optimize Setup Performance** (Priority: High, Effort: Medium) - - **What**: Add progress indicators, streaming file copy, parallel analysis - - **Why**: First-time setup is critical user experience moment - - **How**: Implement async file streaming, parallelize project analysis, show incremental progress - -4. **Add Performance Monitoring** (Priority: Medium, Effort: Medium) - - **What**: Local-only telemetry tracking operation durations, memory usage - - **Why**: Enables data-driven performance optimization - - **How**: Wrap operations with timing, aggregate metrics locally, expose via debug command - ---- - -### Maintainability Expert - Maintainability Expert - -**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. - -#### Key Observations -- MCP server is single 1,823-line file (index.js) - approaching complexity threshold where modularization is needed -- Excellent external documentation (README, USAGE, AGENTS.md, ADRs) but light inline code comments -- No test directory visible in mcp/ - testing strategy unclear or missing -- Three existing distribution channels require synchronized releases - marketplace adds fourth with higher maintenance burden -- Error handling exists but messages are technical - marketplace users expect friendly guidance - -#### Strengths -1. **Clear Abstractions**: ArchitectureServer class with focused methods shows good separation of concerns -2. **Configuration-Driven**: YAML configs externalize behavior - changes don't require code modifications -3. **Template-Based**: Markdown templates enable non-technical customization without code changes -4. **Self-Documenting**: Framework uses its own practices - ADRs, reviews, principles all documented -5. **Progressive Disclosure**: ADR-005 pattern makes codebase more maintainable by limiting surface area - -#### Concerns - -1. **Marketplace Plugin Maintenance Burden** (Impact: Critical) - - **Issue**: Adding marketplace as fourth distribution channel significantly increases maintenance obligations - - **Why it matters**: Solo maintainer already supporting three channels - fourth may cause burnout - - **Recommendation**: Design marketplace plugin as 95%+ code-shared thin wrapper around MCP package - any improvements benefit all channels simultaneously. Document this architecture in ADR (2-3 days architecture design + ADR) - -2. **Test Infrastructure Missing** (Impact: High) - - **Issue**: No automated tests visible - marketplace submission may require test coverage, current reliability unknown - - **Why it matters**: Regressions will occur, manual testing doesn't scale, marketplace users expect quality - - **Recommendation**: Implement integration test suite before marketplace submission - test core MCP tools (setup, create_adr, start_review, etc.) with target 80%+ coverage (5-7 days test framework setup + test writing) - -3. **Code Modularization Needed** (Impact: High) - - **Issue**: index.js approaching 2000 lines - difficult to navigate, understand, and modify safely - - **Why it matters**: Large monolithic files increase bug risk and slow development velocity - - **Recommendation**: Extract tool implementations to separate modules before marketplace work - setup.js, adr.js, review.js, pragmatic.js, status.js. Maintains single export point but improves organization (3-5 days refactoring) - -4. **Release Automation Required** (Impact: Medium) - - **Issue**: Four channels require manual coordination - version tag must update npm, Skills bundle, marketplace listing, Traditional clone - - **Why it matters**: Manual releases are error-prone, time-consuming, delay fixes - - **Recommendation**: Automated release workflow - git tag triggers GitHub Action that publishes npm, updates Skills, pings marketplace, updates CHANGELOG (3-4 days CI/CD pipeline setup) - -5. **Error Message Quality** (Impact: Medium) - - **Issue**: Current error messages are developer-focused - marketplace users expect friendly, actionable guidance - - **Why it matters**: Good error messages reduce support burden and improve user experience - - **Recommendation**: Rewrite error messages with user-friendly language and next steps - "Can't find .architecture directory. Run 'Setup ai-software-architect' first." (2-3 days error message audit + rewrite) - -#### Recommendations - -1. **Extract MCP Tools to Modules** (Priority: High, Effort: Medium) - - **What**: Refactor index.js into focused modules - one per major tool grouping - - **Why**: Improves code navigability, reduces bug risk, enables parallel development - - **How**: Create tools/ directory with setup.js, adr.js, review.js, etc. Main index.js orchestrates - -2. **Implement Test Suite** (Priority: High, Effort: Large) - - **What**: Integration tests for all MCP tools covering happy paths and error cases - - **Why**: Required for marketplace quality, prevents regressions, enables confident refactoring - - **How**: Use Node.js test runner, test each tool in isolation, mock file system where appropriate - -3. **Design Thin Wrapper Architecture** (Priority: High, Effort: Medium) - - **What**: Marketplace plugin as metadata layer that delegates to MCP core - - **Why**: Minimizes maintenance burden of fourth channel - - **How**: Create @ai-software-architect/marketplace package that imports core, adds marketplace-specific config - -4. **Set Up Release Automation** (Priority: High, Effort: Medium) - - **What**: CI/CD pipeline for synchronized multi-channel releases - - **Why**: Reduces manual work, prevents version drift, accelerates fix deployment - - **How**: GitHub Actions workflow triggered by semver tag, publishes to all channels - -5. **Improve Error Messages** (Priority: Medium, Effort: Medium) - - **What**: User-friendly error messages with clear next steps - - **Why**: Better UX, reduced support burden, higher marketplace ratings - - **How**: Audit all error cases, rewrite messages with context and actionable guidance - ---- - -### Implementation Strategist - Implementation Strategist - -**Perspective**: Evaluates HOW and WHEN changes should be implemented, considering blast radius, reversibility, technical readiness, team capability, and timing. - -#### Key Observations -- Framework is at v1.3.0, recently released - stable but marketplace submission is new commitment level -- Blast radius of marketplace submission affects all users - higher stakes than GitHub-only distribution -- Reversibility is limited once submitted - can deprecate but can't fully retract, must maintain backwards compatibility -- Team capacity is constrained - appears to be solo maintainer - four channels may exceed sustainable capacity -- Market timing is good - Claude marketplace is relatively new, early submission gets visibility boost - -#### Strengths -1. **Solid Foundation**: Framework has 1+ year development history, proven patterns - codebase is mature enough for visibility -2. **Clear Value Prop**: "Externalizing senior thinking" is differentiated positioning - marketplace advantage over generic tools -3. **Existing MCP Package**: npm package already published at v1.3.0 - marketplace can leverage existing distribution -4. **Documentation Maturity**: Comprehensive docs, ADRs, examples - marketplace reviewers will see quality signal -5. **Progressive Rollout Possible**: Can submit as "beta" to marketplace, iterate based on feedback before stable promotion - -#### Concerns - -1. **System Readiness Assessment** (Impact: Critical, Timing: Blocking) - - **Issue**: Is codebase ready for marketplace-level scrutiny? Marketplace users expect polish and reliability - - **Why it matters**: Premature submission damages reputation, low ratings hard to recover from - - **Recommendation**: Pre-marketplace readiness checklist: - - ✅ Comprehensive test suite (currently missing - HIGH PRIORITY) - - ✅ Error handling audit (needs improvement) - - ✅ Performance benchmarks (needs baseline establishment) - - ✅ Security audit (needs formal review) - - ✅ Code modularization (approaching threshold) - - **Decision**: Do NOT submit to marketplace until checklist complete - - **Blast Radius**: Medium if rushed (bad ratings, poor reputation) | Low if prepared (positive reception) - - **Timing**: Need 2-3 weeks preparation before submission - - **Effort**: 2-3 weeks concentrated work - -2. **Team Readiness Assessment** (Impact: Critical, Timing: Blocking) - - **Issue**: Single maintainer supporting four distribution channels - sustainability and burnout risk - - **Why it matters**: Marketplace creates support expectations - response time, bug fixes, feature requests - - **Recommendation**: Before marketplace submission: - - Automate release process (reduce manual work from hours to minutes) - - Document contribution guidelines (enable community help on issues) - - Set clear support expectations in marketplace description (manage user expectations - "Community-supported, 3-5 day response time") - - Consider co-maintainer recruitment or community moderator roles - - **Decision**: Ensure sustainable maintenance model before marketplace commitment - - **Social Cost**: High if unprepared (burnout, project abandonment) | Medium if prepared (manageable load) - - **Timing**: 1-2 weeks to set up automation and processes - - **Effort**: 1-2 weeks setup + ongoing capacity planning - -3. **Phased Rollout Strategy** (Impact: High, Timing: Sequencing) - - **Issue**: Direct marketplace launch is high-blast-radius, low-reversibility approach - - **Why it matters**: Can't take back first impression, ratings stick, marketplace policies bind - - **Recommendation**: Three-phase approach: - - **Phase 1** (2-3 weeks): Prepare codebase - tests, performance, security, refactoring - - **Phase 2** (1-2 weeks): Submit as "Beta" to marketplace, gather early feedback, iterate on issues - - **Phase 3** (1 week): Promote to stable listing, announce widely, monitor metrics - - **Blast Radius**: Phase 1 (internal only), Phase 2 (early adopters), Phase 3 (all users) - - **Reversibility**: Phase 1 (fully reversible), Phase 2 (can deprecate beta), Phase 3 (committed but can maintain) - - **Timing**: Total 4-6 weeks from start to stable launch - - **Sequencing**: Must complete Phase 1 before Phase 2, gather feedback before Phase 3 - - **Effort**: 4-6 weeks total timeline - -4. **Marketplace Plugin Characterization** (Impact: High, Timing: Architecture Decision) - - **Issue**: Is marketplace plugin a NEW distribution model or existing MCP in a new location? - - **Why it matters**: "New concept" requires more engineering investment, "new place" is faster to market - - **Analysis**: - - **New Place**: Marketplace listing points to existing npm package - minimal new code, fast deployment - - **New Concept**: Marketplace plugin has unique features (auto-updates, ratings, in-app UI) - new capabilities require development - - **Recommendation**: Treat as "New Place" initially (thin wrapper, 1-2 weeks), evolve to "New Concept" based on marketplace capabilities (8-12 weeks later) - - **Change Spread**: If thin wrapper pattern spreads to other plugins we build, that's desirable - reduces maintenance burden - - **Timing**: Week 1-2 for thin wrapper, Week 8-12 for marketplace-specific features if validated - - **Effort**: 1-2 weeks for MVP, 3-5 weeks for enhanced version later - -5. **Social Cost Analysis** (Impact: Medium, Timing: Expectation-Setting) - - **Issue**: Marketplace submission increases user expectations - response time, polish, support - - **Why it matters**: GitHub users are developers who expect rough edges, marketplace users expect consumer polish - - **Questions to address**: - - Will marketplace users expect faster response times? (Likely yes - suggest 3-5 days in description) - - Will they expect more polish than GitHub users? (Yes - requires preparation work above) - - Will they file more issues/requests? (Probably 3-5x volume - need triage process) - - **Recommendation**: Set explicit support expectations in marketplace description: "Community-supported project. Expect 3-5 day response time for issues. Enterprise support not available." - - **Social Cost**: Medium-High if expectations not set (burnout, negative reviews) | Medium if managed (sustainable engagement) - - **Timing**: Document expectations before submission - - **Effort**: 1 day expectation-setting documentation - -6. **False Confidence Check** (Impact: High, Timing: Pre-Submission Validation) - - **Issue**: Marketplace approval ≠ user success with plugin - - **Why it matters**: Marketplace reviews technical requirements, not UX quality - can get approved but users still struggle - - **Analysis**: Passing marketplace technical review doesn't validate that: - - First-time users understand what plugin does - - Onboarding flow is clear and successful - - Commands are discoverable and intuitive - - Error messages guide users to resolution - - Value proposition resonates with target audience - - **Recommendation**: User testing BEFORE marketplace submission: - - Recruit 3-5 beta testers unfamiliar with framework - - Observe first-time setup and usage (don't intervene) - - Note confusion points, abandoned flows, error encounters - - Iterate on onboarding UX based on observations - - **Timing**: 1-2 weeks for user testing + iterations after Phase 1 preparation - - **Effort**: 1-2 weeks (recruiting, testing, analysis, fixes) - -#### Recommendations - -**Timing & Sequencing** (Priority: Critical, Effort: Decision-Making) - -1. **Immediate Decision Point** (Week 0) - - **What**: Decide if NOW is the right time for marketplace submission - - **Why**: Marketplace submission is significant commitment - timing must be deliberate - - **How**: Review system readiness checklist, assess team capacity, evaluate alternative approaches - - **Questions to answer**: - - Is codebase ready? (No - needs 2-3 weeks preparation) - - Is team ready? (Unclear - needs capacity planning) - - Are users asking for marketplace? (Unknown - no evidence of demand yet) - - What's the cost of waiting 3-6 months? (Low - framework growing organically) - - **Blast Radius**: Decision only, no external impact yet - - **Reversibility**: Fully reversible - can decide not to proceed - - **Effort**: 1-2 days decision-making - -2. **If YES to Marketplace → Preparation Phase** (Week 1-3) - - **What**: Complete system and team readiness requirements - - **Why**: Quality submission increases approval odds and launch success - - **How**: - - Week 1: Extract modules, implement test suite - - Week 2: Security audit, performance benchmarks, error message improvements - - Week 3: Release automation, user testing, documentation polish - - **Blast Radius**: Internal only - no user impact during preparation - - **Reversibility**: Can still decide not to submit after preparation - - **Timing**: Must complete before Phase 2 - - **Effort**: 3 weeks concentrated work - -3. **Beta Marketplace Submission** (Week 4-5) - - **What**: Submit to Claude marketplace with "Beta" label - - **Why**: Limits blast radius, enables feedback gathering, validates approach - - **How**: Prepare marketplace metadata, submit for review, respond to feedback, recruit beta users - - **Blast Radius**: Low - only early adopters, labeled as beta - - **Reversibility**: Can deprecate beta listing if major issues found - - **Timing**: After preparation phase complete - - **Effort**: 2 weeks (submission, review, iteration) - -4. **User Testing & Iteration** (Week 6) - - **What**: Observe unfamiliar users installing and using plugin - - **Why**: Validates UX before stable launch - - **How**: Screen share sessions with 3-5 new users, note confusion, fix issues - - **Blast Radius**: Low - testing group only - - **Reversibility**: Can iterate based on findings - - **Timing**: During beta phase - - **Effort**: 1 week (recruiting, testing, fixes) - -5. **Stable Marketplace Launch** (Week 7) - - **What**: Promote from beta to stable, announce publicly - - **Why**: Full marketplace presence with confidence in quality - - **How**: Remove beta label, publish announcement, monitor metrics and feedback - - **Blast Radius**: High - all Claude marketplace users can discover - - **Reversibility**: Limited - can deprecate but harder to walk back - - **Timing**: After successful beta phase and user testing - - **Effort**: 1 week (promotion, announcement, monitoring) - -6. **Feature Evolution** (Week 8+) - - **What**: Evaluate marketplace-specific features based on usage data - - **Why**: Optimize for platform capabilities after validating core value - - **How**: Analyze marketplace metrics, user feedback, feature requests - prioritize enhancements - - **Blast Radius**: Incremental - per feature - - **Reversibility**: Per feature - can rollback individual enhancements - - **Timing**: Ongoing after stable launch - - **Effort**: Ongoing - -**Sequencing Visualization**: -``` -Current State → Decision → Preparation → Beta → Testing → Stable → Evolution - (Now) (Week 0) (Week 1-3) (Week 4-5) (Week 6) (Week 7) (Week 8+) -``` - -**Reversibility Design**: -- Keep marketplace plugin as thin wrapper - can deprecate without losing core MCP functionality -- Maintain npm package as primary distribution - marketplace is additional channel, not replacement -- Document migration path: marketplace users can switch to direct MCP installation if needed -- Version parity across channels - users can switch installation methods without feature loss - -**Blast Radius Mitigation**: -- Beta label limits initial exposure to early adopters -- Progressive announcement strategy - marketplace → Twitter → newsletter (not all at once) -- Gradual feature rollout - start with core features, add enhancements based on validated demand -- Support expectations clearly documented - manages user response time expectations - -**Alternate Approach - Enhanced GitHub First**: -If decision is marketplace timing is premature: -- **Week 1-2**: Enhance GitHub presence (improved README, showcase page, "Install with Claude" button) -- **Month 2-6**: Validate marketplace demand through user requests and installation plateau -- **Month 7+**: Proceed to marketplace if triggers met - -**Change Characterization Summary**: -- **Surface vs Deep**: Marketplace plugin is surface change (new distribution front) not deep change (core functionality unchanged) -- **New Idea vs New Place**: Primarily "new place" (thin wrapper) initially, may become "new idea" (marketplace-specific features) later -- **Spread Analysis**: If thin wrapper pattern spreads to future plugins, that's positive - reduces maintenance burden - ---- - -### AI Engineer - AI Engineer - -**Perspective**: Evaluates the architecture from an AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. - -#### Key Observations -- Framework explicitly designed for AI assistant collaboration - marketplace plugin extends this to Claude-native users who discover tools through marketplace -- Progressive disclosure pattern (ADR-005) optimizes for LLM context limits - critical competitive advantage in marketplace where token efficiency matters -- Skills use agent-based architectural patterns internally - marketplace plugin should leverage same patterns for consistency -- Observability gap: no telemetry on feature usage, success rates, error frequencies - limits data-driven improvement iteration -- User feedback loop currently qualitative (GitHub issues) - no quantitative usage metrics to guide development priorities - -#### Strengths -1. **LLM-Optimized Design**: Progressive disclosure, natural language commands, minimal token overhead - framework designed for AI context -2. **Multi-Agent Architecture**: Framework uses "architecture team" agent pattern internally - demonstrates meta-pattern alignment -3. **Prompt Engineering**: Command patterns like "Create ADR for [topic]" are LLM-friendly and intuitive -4. **Context-Aware**: Skills only load necessary documentation per operation - efficient token usage -5. **Self-Referential Validation**: Framework documents its own architecture using its own practices - dogfooding validates design - -#### Concerns - -1. **Marketplace Discovery Optimization** (Impact: Critical) - - **Issue**: Claude marketplace search is AI-powered semantic search - plugin metadata must be optimized for LLM discoverability - - **Why it matters**: Poor metadata means plugin doesn't surface for relevant queries - limits adoption - - **Recommendation**: Optimize marketplace description for semantic search: - - Include explicit synonyms: "ADR" AND "Architecture Decision Record" AND "technical decision documentation" - - Use problem-space keywords: "document decisions", "review architecture", "team collaboration", "technical choices" - - Natural language examples: "When should I use this?" → concrete problem scenarios users search for - - Test description with Claude search queries: "how to document technical decisions", "architecture review tool" - - **Effort**: 2-3 days copywriting + iterative testing with search queries - -2. **Agent Interaction Patterns** (Impact: High) - - **Issue**: Marketplace plugin runs in different execution context than Claude Skills - agent patterns may need adaptation - - **Why it matters**: Multi-step workflows might break, context carryover might fail, error recovery might not work - - **Recommendation**: Test plugin thoroughly with Claude's agentic workflows: - - Multi-step operations: setup → create ADR → start review (does context carry over?) - - Error recovery: what if setup fails halfway? Can user retry? Is state clean? - - Context memory: does plugin remember previous operations in conversation? - - Tool chaining: can Claude compose multiple plugin operations autonomously? - - **Effort**: 3-4 days comprehensive testing + adaptations for discovered issues - -3. **Observability for Iteration** (Impact: High) - - **Issue**: No visibility into how marketplace users interact with plugin - can't iterate effectively on UX or features - - **Why it matters**: Data-driven improvement requires usage data - currently flying blind - - **Recommendation**: Implement privacy-respecting observability layer: - - **Local-only analytics**: Metrics stored only on user's machine, never transmitted - - **Optional anonymous telemetry**: User opts-in to share anonymized metrics (operation counts, success rates, error types) - - **Focus metrics**: Operation success rates, feature usage distribution, error frequencies, performance timings - - **Debug command**: `architecture-debug stats` shows user their local metrics - - **Privacy commitment**: No personal data, no project details, no architecture content - only usage patterns - - **Effort**: 3-5 days telemetry implementation + privacy documentation - -4. **Prompt Quality Metrics** (Impact: Medium) - - **Issue**: Unknown how well current command patterns work for average users - may have usability gaps - - **Why it matters**: Confusing commands lead to abandonment and poor ratings - - **Recommendation**: During marketplace beta phase, gather command examples from users: - - Instrument command parsing to log attempted commands (with user consent) - - Identify patterns where users struggle or use unexpected phrasings - - Add command aliases for common variations - - Improve error messages for frequently-failed commands - - **Effort**: Ongoing during beta phase + 1 week analysis and improvements - -5. **AI-Generated Content Quality** (Impact: Medium) - - **Issue**: Framework generates ADRs and reviews using templates - quality depends on Claude's understanding of templates and context - - **Why it matters**: Poor-quality generated documents reduce perceived value - - **Recommendation**: Add content quality validation layer: - - Check generated ADRs for completeness: all required sections present? - - Detect placeholder text that wasn't replaced: [TODO], [Insert X here] - - Flag suspiciously short sections: Decision section <50 words may be incomplete - - Warn user: "Generated ADR may be incomplete. Review and enhance before committing." - - **Effort**: 2-3 days validation logic implementation - -#### Recommendations - -1. **Optimize Marketplace Metadata for AI Search** (Priority: High, Effort: Small) - - **What**: Rewrite marketplace description and keywords for semantic discoverability - - **Why**: First step in user journey - must surface for relevant searches - - **How**: Include synonyms, problem-space keywords, natural language examples, test with Claude search queries - -2. **Test Plugin with Agentic Workflows** (Priority: High, Effort: Medium) - - **What**: Comprehensive testing of multi-step operations, error recovery, context carryover - - **Why**: Marketplace plugin context differs from Skills - must validate patterns work - - **How**: Create test scenarios for common workflows, execute with Claude, identify issues, adapt implementation - -3. **Implement Local Observability Layer** (Priority: High, Effort: Medium) - - **What**: Privacy-respecting telemetry for usage patterns and success rates - - **Why**: Enables data-driven iteration on UX and features - - **How**: Local metrics storage, optional anonymous sharing, debug command for user visibility - -4. **Add Content Quality Validation** (Priority: Medium, Effort: Small) - - **What**: Automated checks for generated ADRs and reviews to catch incompleteness - - **Why**: Ensures generated content meets quality bar - - **How**: Parse generated markdown, check section presence and length, flag issues - -5. **Gather Beta User Command Patterns** (Priority: Medium, Effort: Ongoing) - - **What**: Learn how users actually phrase commands during beta phase - - **Why**: Identifies usability gaps and improvement opportunities - - **How**: Instrument command parsing (with consent), analyze patterns, add aliases and improve errors - ---- - -### Pragmatic Enforcer - YAGNI Guardian & Simplicity Advocate - -**Perspective**: Rigorously questions whether proposed solutions, abstractions, and features are actually needed right now, pushing for the simplest approach that solves the immediate problem. - -**Pragmatic Mode**: Balanced (thoughtful challenges, accepts justified complexity) - -#### Necessity Assessment - -**Current Need** (Score: 6/10) -- **Analysis**: Framework currently works well with three distribution channels (Skills, MCP, Traditional). Marketplace addresses discovery problem for Claude-native users who don't browse GitHub, but existing channels are functional and growing. -- **Requirements addressed**: - - Improves discoverability for non-GitHub users ✓ - - Adds marketplace trust signals ✓ - - Enables auto-updates (potential) ✓ -- **What breaks without it**: Nothing breaks. Framework continues functioning. Growth may be slower through GitHub-only discovery. -- **Current requirement**: Nice-to-have for growth, not critical for functionality. - -**Future Need** (Score: 7/10) -- **Analysis**: As Claude marketplace matures and becomes primary plugin discovery mechanism, presence there becomes more important. Early adoption captures visibility advantage. -- **Likelihood**: High - marketplace will likely become dominant Claude plugin discovery over time (70-80% confidence) -- **Scenarios requiring this**: - - Marketplace becomes primary Claude plugin discovery (likely within 12 months) - - Competitors enter marketplace first and capture mindshare - - Claude promotes marketplace over GitHub installation - -**Cost of Waiting** (Medium) -- **Analysis**: - - Delaying marketplace submission means missing early-adopter visibility boost - - BUT framework is currently functional and growing through GitHub/documentation - - Waiting allows more polish and preparation before high-visibility launch - - Can always submit later - not a one-time opportunity -- **Cost breakdown**: - - Lost visibility: Medium (but framework growing organically) - - Competitor risk: Low (no direct competitors visible in Claude marketplace) - - Feature parity: Low (existing channels are sufficient) - - Technical debt: None (waiting doesn't increase technical debt) -- **Reversibility of waiting**: Fully reversible - can submit any time - -**Overall Necessity Score**: 6/10 (Useful for growth, not critical for function) - -#### Complexity Assessment - -**Added Complexity** (Score: 7/10) -- **New abstractions**: - - Marketplace manifest and metadata files - - Marketplace-specific configuration layer - - Thin wrapper package (@ai-software-architect/marketplace) - - Marketplace compliance and policy handling -- **New dependencies**: - - None directly (reuses existing MCP package) - - Implicit dependency on marketplace platform policies -- **Lines of code estimate**: - - Thin wrapper: ~200-300 lines - - Marketplace metadata: ~100 lines - - CI/CD automation: ~200-300 lines - - Total new code: ~500-700 lines (small) -- **Files affected**: - - New: marketplace manifest, icons, screenshots, wrapper package - - Modified: README (installation section), CI/CD workflows - - Count: ~10-15 files - -**Maintenance Burden** (Score: 8/10) -- **Ongoing maintenance**: - - Fourth distribution channel to support (Skills, MCP, Traditional, Marketplace) - - Marketplace policy compliance monitoring - - Marketplace user support (separate from GitHub users) - - Version synchronization across four channels - - Marketplace-specific feature requests and bug reports -- **Testing requirements**: - - Marketplace submission testing - - Ongoing marketplace compatibility testing - - User acceptance testing for marketplace flow -- **Documentation needs**: - - Marketplace listing description - - Installation comparison matrix (four options) - - Marketplace-specific troubleshooting - - When to use marketplace vs other channels - -**Learning Curve** (Score: 5/10) -- **New concepts to learn**: - - Claude marketplace submission process - - Marketplace policies and compliance requirements - - Marketplace-specific features (auto-updates, ratings) - - Multi-channel release coordination -- **Team familiarity**: Low (solo maintainer, new territory) - -**Overall Complexity Score**: 7/10 (Moderate complexity with high maintenance burden) - -#### Complexity-to-Necessity Ratio - -**Ratio**: 7 / 6 = **1.17** - -**Target**: < 1.5 (complexity should not exceed necessity by more than 50%) - -**Assessment**: ✅ **Acceptable** (< 1.5) - Complexity is justified, though close to threshold. - -**Analysis**: -- Ratio of 1.17 means complexity is slightly higher than necessity but within acceptable range -- Close to threshold suggests this is near the edge of justified complexity -- High maintenance burden (score 8/10) is primary concern - ongoing cost exceeds initial implementation -- For solo maintainer, sustainability question is critical - -#### Simpler Alternative - -**Proposal**: Enhanced GitHub Presence (defer marketplace submission) - -**What it includes**: -1. **Improved README with embedded demo** - - Add Loom video prominently at top (already have: b83f478045e04bb9ba7e70f5fe057d14) - - Clear "Install with Claude" quick-start section - - Visual decision tree: "Which installation method for me?" -2. **GitHub Discussions for community** - - Enable Discussions tab - - Seed with FAQ, use cases, architecture examples - - Create "Show and Tell" category for projects using framework -3. **Showcase page** - - Create SHOWCASE.md listing projects using framework - - Before/after examples of documented decisions - - User testimonials and case studies -4. **SEO optimization** - - Improve GitHub repo description and topics - - Add keywords: "Claude", "architecture", "ADR", "decision documentation" - - Create blog post or article about framework (drives inbound links) -5. **"Install with Claude" button** - - Prominent button in README: "Open in Claude Code" - - Links to claude:// URL handler for one-click installation - -**What it excludes**: -- Marketplace metadata creation and maintenance -- Fourth distribution channel support burden -- Marketplace-specific testing and compliance -- Marketplace policy monitoring -- Version synchronization with marketplace -- Marketplace user support overhead - -**Why it might be sufficient**: -- **Targets same users**: Claude users who need architecture documentation (same target audience as marketplace) -- **Lower maintenance burden**: No new distribution channel - enhances existing GitHub channel -- **GitHub is trusted source**: Developers already trust GitHub for tools - no trust gap to overcome -- **Native Claude Code support**: Claude Code can install directly from GitHub URLs - no marketplace required -- **Faster to implement**: 2 weeks vs 6 weeks for marketplace preparation -- **Fully reversible**: Can still do marketplace later if GitHub enhancements prove insufficient -- **Validates demand**: If GitHub installations plateau despite improvements, signals marketplace need - -**Estimated effort**: 2 weeks vs 6 weeks for marketplace preparation - -#### Pragmatic Questions - -1. **Do we NEED marketplace listing right now?** - - **Answer**: No, it's "nice to have" for growth. Framework is functional and growing organically through GitHub. - - **Evidence**: No user requests for marketplace listing, current channels working, v1.3.0 stable and adopted. - -2. **What breaks if we don't implement marketplace plugin?** - - **Answer**: Nothing breaks. Growth may be slower for Claude-native users who don't browse GitHub, but framework continues functioning and serving current users well. - -3. **What's the simplest way to increase Claude user discovery?** - - **Answer**: Enhance GitHub presence with better README, demo video, "Install with Claude" button, and SEO. Reaches Claude users without fourth distribution channel maintenance burden. - -4. **What's the cost of implementing marketplace plugin now?** - - **Answer**: - - Time: 4-6 weeks preparation + implementation + testing - - Maintenance: Ongoing fourth channel support burden for solo maintainer - - Opportunity cost: Could use those weeks for features or documentation improvements - - Risk: Premature submission with insufficient polish damages reputation - -5. **What's the cost of waiting 3-6 months?** - - **Answer**: - - Lost visibility: Medium (but mitigated by GitHub enhancements) - - Competitor risk: Low (no direct competitors visible yet) - - Technical debt: None (doesn't increase complexity to wait) - - User impact: Low (current users unaffected) - -6. **Is "be everywhere" actually best practice for solo-maintained projects?** - - **Answer**: No - focus and sustainability often beat omnipresence. Four distribution channels is high burden for one person. Better to do three channels excellently than four channels adequately. - -7. **Are we solving a problem that actually exists?** - - **Answer**: Partially. Discovery problem exists, but is it severe enough to justify fourth channel? No evidence of users abandoning framework due to discovery difficulty. GitHub installation is working. - -8. **Can we defer part of this?** - - **Answer**: Yes - enhance GitHub now (quick win, low burden), marketplace later if validated need (deferred complexity). - -#### Recommendation: 🔧 **Simplified Version** (Phased Approach) - -**Justification**: - -While marketplace plugin's complexity-to-necessity ratio (1.17) is within acceptable range (<1.5), several pragmatic factors suggest a simplified phased approach: - -1. **Maintenance Burden Disproportionate to Value**: - - Complexity score: 7/10 (moderate) - - Maintenance burden: 8/10 (high) - - Necessity score: 6/10 (useful but not critical) - - **Conclusion**: Ongoing maintenance cost exceeds immediate value, especially for solo maintainer - -2. **Framework Already Successful**: - - Growing organically through GitHub distribution - - Claude Code natively supports GitHub installation - - No evidence of user abandonment due to discovery difficulty - - **Conclusion**: Not solving acute pain point - -3. **Preparation Gap**: - - 4-6 weeks preparation needed (tests, refactoring, security, benchmarks) - - Solo maintainer must invest significant time - - Opportunity cost: could improve features or documentation instead - - **Conclusion**: High upfront investment for uncertain return - -4. **Reversibility Advantage of Waiting**: - - Enhancing GitHub is fully reversible - - Can still do marketplace after validating need - - Marketplace submission is less reversible (reputation risk) - - **Conclusion**: Low-risk path validates demand first - -**Recommended Phased Approach**: - -**Phase 1 - Enhanced GitHub Presence** (NOW - 2 weeks, Immediate) -- Improve README with prominent demo video, clear "Install with Claude" quick-start -- Add visual installation decision tree: "Which method is right for me?" -- Enable GitHub Discussions, seed with FAQ and use cases -- Create SHOWCASE.md with projects using framework -- Optimize for "Claude architecture documentation" SEO -- Add prominent "Open in Claude Code" button -- **Benefits**: - - Quick win: 2 weeks vs 6 weeks for marketplace - - Validates demand before major investment - - No new maintenance burden - - Fully reversible - - Improves experience for all users regardless of marketplace decision -- **Cost**: 2 weeks effort, no ongoing burden -- **Reversibility**: Fully reversible (improvements stay even if marketplace pursued later) - -**Phase 2 - Marketplace Plugin** (Month 3-4, Conditional) -**Proceed ONLY IF any of these triggers occur**: -- GitHub installation rate plateaus despite improvements -- User requests for marketplace listing (threshold: >10 explicit requests) -- Marketplace becomes measurably dominant Claude plugin discovery mechanism -- Maintainer capacity increases (co-maintainer joins, or automation significantly reduces burden) -- Competitor enters marketplace and gains traction (reactive defensive move) - -**If Phase 2 triggers met, then**: -- Complete preparation checklist (tests, security audit, refactoring, benchmarks) -- Design marketplace plugin as thin wrapper around MCP package -- Implement automated release pipeline (synchronize all channels) -- Submit as "beta" for feedback gathering -- User testing with unfamiliar testers -- Promote to stable after validation - -**Deferral Tracking**: -During Phase 1, track these metrics monthly: -- GitHub clone rate trend -- Installation method preferences (Skills vs MCP vs Traditional) -- Explicit user requests for marketplace listing (count and context) -- Marketplace maturity signals (number of architecture/dev tools plugins, Claude promotion efforts) -- Competitor activity in marketplace -- Maintainer capacity and automation improvements - -**What Success Looks Like in Phase 1**: -- 50%+ increase in GitHub clone rate within 2 months -- Clear user preference signals for installation methods -- Reduced "how do I install?" support questions -- Positive community engagement in GitHub Discussions -- Showcase page with 5+ projects using framework - -**Decision Point for Phase 2**: -After 3 months of Phase 1, review metrics: -- IF triggers met AND maintenance capacity exists → Proceed to Phase 2 -- IF triggers not met → Continue with Phase 1, defer marketplace indefinitely -- IF uncertainty → Extend Phase 1 another 3 months, gather more data - -**Why This Approach is More Pragmatic**: -- **Validates demand before investment**: Don't build marketplace plugin until proven need -- **Delivers value faster**: 2 weeks vs 6 weeks to first improvement -- **Reduces risk**: GitHub enhancements are low-risk, marketplace submission is higher-stakes -- **Respects capacity constraints**: Doesn't overburden solo maintainer -- **Maintains optionality**: Can still do marketplace later with more confidence -- **Focuses on problem**: Solves discovery issue without committing to fourth channel maintenance - -**Pragmatic Mode Intensity**: Balanced -- Accepting that marketplace plugin complexity is justified (ratio 1.17 < 1.5) -- BUT suggesting phased approach to manage risk and validate demand -- Not blocking marketplace entirely (that would be "strict") -- Not accepting full complexity immediately (that would be "lenient") -- Finding middle ground: enhance GitHub first, marketplace when validated - -#### Cost-Benefit Summary - -**Marketplace Plugin Immediate**: -- **Benefit**: Early marketplace visibility, first-mover advantage -- **Cost**: 6 weeks preparation + ongoing fourth channel maintenance -- **Risk**: Premature submission, solo maintainer burnout, uncertain ROI - -**Enhanced GitHub First**: -- **Benefit**: Quick value (2 weeks), validates demand, improves for all users -- **Cost**: 2 weeks effort, no ongoing burden -- **Risk**: Very low, fully reversible - -**Recommendation**: Enhanced GitHub first, marketplace conditional on validated triggers. - ---- - -## Collaborative Discussion - -### Opening Context - -**Systems Architect**: "We're evaluating adding Claude marketplace as a fourth distribution channel for the AI Software Architect framework. Currently we have Skills, MCP, and Traditional clone methods working well. The marketplace offers improved discoverability for Claude-native users, but we need to carefully consider the architectural implications of adding another channel." - -**Domain Expert**: "From a market perspective, the timing is interesting. Claude marketplace is relatively new, so early presence could establish us as the go-to architecture documentation tool. However, we need to ensure the marketplace listing clearly communicates our value proposition to users who may not be familiar with terms like ADR or architecture review." - -**Security Specialist**: "I want to emphasize that marketplace submission requires a higher security bar than GitHub distribution. Users trust the marketplace curation, so we need formal security audits, dependency scanning, and clear data handling policies. The good news is our architecture is already sound - no external API calls, local-only file operations - but we need to formalize and document these security properties." - -**Performance Specialist**: "Marketplace plugins are measured on performance - startup time, response latency, memory footprint. Our current MCP server hasn't been benchmarked. We need baseline metrics and optimization before submitting. The progressive disclosure pattern helps with token efficiency, but we should also optimize file I/O and implement config caching." - -**Maintainability Expert**: "My primary concern is the maintenance burden. The MCP server is approaching 2000 lines in a single file, we have no automated tests, and we're already maintaining three distribution channels. Adding a fourth channel without addressing these fundamentals could create technical debt that becomes unsustainable." - -**Implementation Strategist**: "This is really a timing and readiness question. The marketplace opportunity is real, but is NOW the right time? The codebase needs 4-6 weeks of hardening - tests, refactoring, security audit, performance optimization. And we need to honestly assess if a solo maintainer can sustainably support four channels. I'm concerned about premature submission damaging our reputation." - -**AI Engineer**: "I see this through the lens of AI integration patterns. The marketplace uses semantic search, so our metadata needs to be LLM-optimized. We should test the plugin thoroughly with Claude's agentic workflows - multi-step operations, error recovery, context carryover. And we're currently flying blind without observability - we need local telemetry to understand how users interact with the plugin." - -**Pragmatic Enforcer**: "Let me inject some YAGNI thinking here. The complexity-to-necessity ratio is 1.17 - just under our 1.5 threshold but close. The marketplace plugin is 'nice to have' for growth, not 'must have' for function. Framework is already working and growing organically. My question: what's the simplest way to solve the discovery problem? Do we really need a fourth distribution channel, or could we enhance our GitHub presence first and defer the marketplace until demand is validated?" - -### Common Ground - -The architecture team agrees on: - -1. **Marketplace Opportunity is Real**: Claude marketplace could significantly improve discoverability for Claude-native users who don't browse GitHub. Early presence offers first-mover advantage. - -2. **Codebase Needs Hardening**: Before marketplace submission, the framework needs 4-6 weeks of preparation: - - Automated test suite (currently missing) - - Code modularization (index.js approaching 2000 lines) - - Security audit and dependency scanning - - Performance benchmarks and optimization - - Error message improvements - -3. **Maintenance Burden is Significant**: Fourth distribution channel adds non-trivial ongoing obligations: - - Version synchronization across four channels - - Marketplace-specific support and compliance - - Increased user expectations - - Solo maintainer capacity constraints - -4. **Thin Wrapper Architecture is Optimal**: If marketplace plugin is built, it should be 95%+ code-shared with MCP package: - - Minimizes code duplication - - Simplifies maintenance - - Ensures feature parity across channels - -5. **Phased Approach is Prudent**: Some form of progressive rollout reduces risk: - - Preparation phase before submission - - Beta testing with early users - - Validation before stable promotion - -### Areas of Debate - -**Topic: Timing - Launch Now vs Wait** - -**Launch Now Camp**: -- **Systems Architect**: "Early marketplace presence builds brand recognition. Claude marketplace is new - being among the first architecture tools creates mindshare advantage. Waiting means potentially missing the early-adopter visibility window." -- **Domain Expert**: "First-mover advantage is real. No direct competitors visible in marketplace yet. Establishing ourselves as THE architecture documentation tool for Claude users is valuable positioning." -- **AI Engineer**: "The marketplace uses semantic search which favors our LLM-optimized design. Our progressive disclosure pattern is competitive advantage. Better to claim that space early." - -**Wait Camp**: -- **Pragmatic Enforcer**: "Framework is growing organically without marketplace - we're not solving an acute pain point. Necessity score is only 6/10. Why add complexity and maintenance burden before validating demand?" -- **Implementation Strategist**: "System isn't ready. Missing tests, security audit, performance benchmarks. Premature submission risks poor ratings and reputation damage that's hard to recover from. Solo maintainer also needs sustainable capacity model before marketplace commitment." -- **Maintainability Expert**: "Technical debt needs addressing first. Can't add fourth channel on top of 2000-line monolithic file with no tests. That's building on shaky foundation." - -**Resolution**: -Team consensus on **TWO-PHASE APPROACH**: -- **Phase 1** (Immediate, 2 weeks): Enhanced GitHub presence - improves discovery without new maintenance burden, validates demand, fully reversible -- **Phase 2** (Conditional, Month 3-4): Marketplace plugin if triggers met (demand validated, capacity available, preparation complete) - -This satisfies both camps: quick improvements (Launch Now) while respecting readiness concerns (Wait). - -**Topic: Plugin Architecture - Thin Wrapper vs Rich Experience** - -**Thin Wrapper Camp**: -- **Systems Architect**: "Marketplace plugin should be minimal metadata that points to existing npm package. Shares 95%+ code with MCP server. Any improvements benefit all channels simultaneously." -- **Maintainability Expert**: "Code sharing is critical for sustainable maintenance. Thin wrapper means bugs fixed once, features added once, tests written once." -- **Pragmatic Enforcer**: "Simplest approach. Don't build marketplace-specific features until validated need. Start thin, evolve if usage justifies." - -**Rich Experience Camp**: -- **Domain Expert**: "Marketplace enables unique features - ratings, auto-updates, in-app UI, onboarding flows. We should leverage platform capabilities to create differentiated experience." -- **AI Engineer**: "Marketplace context differs from command-line MCP. Could add guided tutorials, visual member customization, interactive setup. Make it feel native to marketplace environment." - -**Resolution**: -Team consensus on **PROGRESSIVE ENRICHMENT**: -- **MVP** (Week 1-2): Thin wrapper with feature parity to MCP package -- **Validation** (Month 1-3): Gather usage data, user feedback, marketplace capability discovery -- **Enrichment** (Month 4+): Add marketplace-specific features if data justifies investment - -Start simple, evolve based on validated demand. Satisfies both camps: thin wrapper reduces initial complexity, rich experience remains option for future if validated. - -**Topic: Feature Parity - Identical vs Platform-Optimized** - -**Unified Camp**: -- **Systems Architect**: "All channels should have identical core capabilities - setup, ADR creation, reviews, pragmatic mode. Users should be able to switch installation methods without losing functionality." -- **Security Specialist**: "Consistent security model across channels reduces attack surface and simplifies auditing." - -**Optimized Camp**: -- **Domain Expert**: "Each platform has strengths - Skills have auto-invocation, MCP has programmatic automation, marketplace has ratings and discovery. We should embrace platform differences." -- **AI Engineer**: "Marketplace might enable features impossible elsewhere - in-app analytics dashboard, visual configuration UI, community showcase integration. Optimize for each platform." - -**Resolution**: -Team consensus on **CORE PARITY + OPTIONAL ENHANCEMENTS**: -- **Core Features**: Identical across all channels (setup, ADR, reviews, members, status, pragmatic mode) -- **Platform Enhancements**: Optional additions that leverage unique capabilities (Skills auto-invocation, marketplace ratings, MCP programmatic API) -- **Documentation**: Clear matrix showing what's core (all channels) vs enhanced (specific channels) - -Users can confidently switch between channels knowing core functionality is preserved, while power users can leverage platform-specific enhancements. - -### Priorities Established - -**Critical (Address Immediately - Week 0)**: - -1. **Make Timing Decision** (Systems, Implementation, Pragmatic) - - Decide: marketplace now vs enhanced GitHub first vs hybrid approach - - Review system readiness checklist and team capacity assessment - - Consider: Is framework ready? Is team ready? Is demand validated? - - Document decision rationale in ADR - - **Justification**: All subsequent work depends on this strategic decision - marketplace path requires 6 weeks preparation, GitHub path requires 2 weeks enhancement - -2. **If Marketplace Chosen: Create Preparation Roadmap** (All members) - - Define 4-6 week preparation phase with specific deliverables and owners - - Break down: test suite implementation, code modularization, security audit, performance optimization, error message improvements - - Allocate capacity realistically for solo maintainer - - **Justification**: Marketplace submission without preparation risks rejection or poor launch reception - -**Important (Address Soon - Week 1-3)**: - -1. **Implement Test Suite** (Maintainability, Security, Implementation) - - Integration tests for all MCP tools (setup, ADR, reviews, status, pragmatic mode) - - Target 80%+ coverage of core functionality - - Test both happy paths and error cases - - Document testing approach for future contributions - - **Justification**: Tests are foundation for confident changes - required before marketplace submission, beneficial regardless - -2. **Extract Code to Modules** (Maintainability, Systems) - - Refactor index.js (1823 lines) into focused modules - - Create tools/ directory: setup.js, adr.js, review.js, pragmatic.js, status.js - - Maintain single export point for backwards compatibility - - **Justification**: Improves code navigability and maintainability - prerequisite for sustainable multi-channel support - -3. **Security Audit and Hardening** (Security, Implementation) - - Run `npm audit` and resolve high/critical vulnerabilities - - Formal security review of file operations and permissions - - Document data handling policy - - Validate file system isolation with tests - - **Justification**: Marketplace requires security rigor, users expect trust - -4. **Performance Baseline and Optimization** (Performance, AI Engineer) - - Benchmark: startup time, setup duration, operation latency, memory footprint - - Implement config caching with file watchers - - Optimize setup process with progress indicators - - Document performance characteristics - - **Justification**: Marketplace measures plugin performance, affects visibility and ratings - -**Nice-to-Have (Consider Later - Week 4+)**: - -1. **Marketplace Metadata Creation** (Domain, AI Engineer) - - Write marketplace description optimized for semantic search - - Create icons, screenshots, demo assets - - Design onboarding tutorial flow - - **Justification**: Only needed if marketplace path chosen and preparation complete - -2. **Enhanced GitHub Presence** (Domain, Systems, Pragmatic) - - Improve README with decision tree and prominent demo video - - Enable GitHub Discussions with seeded FAQ - - Create SHOWCASE.md with example projects - - Optimize for SEO (Claude architecture documentation) - - **Justification**: Quick win regardless of marketplace decision - improves all users' experience - -3. **Local Observability Implementation** (AI Engineer, Performance) - - Privacy-respecting telemetry for usage patterns - - Local-only metrics storage, optional anonymous sharing - - Debug command to view local stats - - **Justification**: Enables data-driven iteration, but not blocking for launch - -4. **Release Automation** (Maintainability, Systems) - - CI/CD pipeline for synchronized multi-channel releases - - Git tag triggers npm publish, Skills update, marketplace sync - - Automated changelog generation - - **Justification**: Critical for four-channel sustainability, but can be manual initially - -### Recommendation Synthesis - -**Team Consensus: TWO-PHASE MARKETPLACE STRATEGY** - -**Phase 1 - Enhanced GitHub Presence** (IMMEDIATE, Week 1-2): -- **Improves**: Discovery, onboarding, community engagement -- **Delivers**: Quick value without new maintenance burden -- **Validates**: Marketplace demand through metrics (clone rate, user requests) -- **Effort**: 2 weeks -- **Reversibility**: Fully reversible, improves experience regardless -- **Supported by**: All team members as quick win - -**Actions**: -1. Improve README: prominent video, "Install with Claude" button, installation decision tree -2. Enable GitHub Discussions: seed with FAQ, use cases, "Show and Tell" category -3. Create SHOWCASE.md: projects using framework, before/after examples -4. Optimize SEO: repo description, topics, keywords (Claude, architecture, ADR) -5. Measure baseline: GitHub clone rate, installation method preferences, support questions - -**Phase 2 - Marketplace Plugin** (CONDITIONAL, Month 3-4): -- **Triggers**: Proceed only if (1) GitHub enhancements plateau, OR (2) 10+ user requests for marketplace, OR (3) marketplace becomes dominant discovery, OR (4) maintainer capacity increases -- **Requires**: 4-6 weeks preparation before submission -- **Delivers**: Marketplace presence with confidence in quality -- **Effort**: 6 weeks total (preparation + submission + iteration) -- **Reversibility**: Limited after submission, but thin wrapper enables maintenance -- **Supported by**: All team members with timing contingencies - -**Preparation Checklist** (if Phase 2 triggered): -- Week 1-2: Extract modules, implement test suite (80%+ coverage) -- Week 3: Security audit, dependency scanning, data policy documentation -- Week 4: Performance benchmarks, optimization (caching, setup progress, I/O) -- Week 5: Error message improvements, marketplace metadata creation -- Week 6: Beta submission, user testing (3-5 unfamiliar users), iteration - -**Marketplace Architecture** (if built): -``` -Claude Marketplace Listing - ↓ -Thin Wrapper (@ai-software-architect/marketplace) - ↓ (95% delegation) -MCP Core Package (ai-software-architect npm) -``` - -**Benefits**: -- Code sharing minimizes maintenance burden -- Improvements benefit all channels -- Platform-specific optimizations remain optional -- Feature parity preserved across channels - -**Success Criteria**: - -**Phase 1 Success** (triggers Phase 2 consideration): -- 50%+ increase in GitHub clone rate within 2 months -- Clear user preference signals for installation methods -- Active community engagement in Discussions -- 5+ projects in SHOWCASE.md -- User requests for marketplace listing (threshold: 10+) - -**Phase 2 Success** (validates marketplace investment): -- Marketplace submission approved within 2 weeks -- 4+ star average rating after 100 installs -- 20%+ of new users from marketplace -- Support burden <2 hours/week -- No major security or performance incidents - -**Monitoring** (during Phase 1): -Track monthly: -- GitHub clone rate trend -- Installation method distribution -- Explicit marketplace requests (count and context) -- Marketplace maturity (plugin count, Claude promotion) -- Maintainer capacity and automation progress - -**Decision Point**: After 3 months Phase 1, review metrics → proceed to Phase 2 if triggers met, otherwise continue Phase 1. - ---- - -## Consolidated Findings - -### Strengths - -1. **Strong Technical Foundation**: Existing MCP server with stdio transport protocol provides excellent basis for marketplace plugin. Clean abstraction between Skills, MCP, and Traditional channels demonstrates architectural maturity. Can leverage this foundation for fourth channel. - -2. **Clear Market Differentiation**: "Externalizing senior architectural thinking" is compelling value proposition with no direct competitors visible in Claude marketplace. First-mover opportunity for architecture documentation tools. - -3. **LLM-Optimized Design**: Progressive disclosure pattern (ADR-005) positions framework competitively in marketplace where instruction token efficiency matters. Natural language command patterns are Claude-friendly. - -4. **Comprehensive Documentation**: Mature external documentation (README, USAGE, AGENTS.md, ADRs, examples) signals production readiness to marketplace reviewers. Self-documenting through dogfooding validates practices. - -5. **Security-Sound Architecture**: Local-only file operations, no external API calls, explicit permission model, version-pinned dependencies provide solid security foundation. Needs formalization but fundamentally sound. - -6. **Organic Growth Trajectory**: Framework growing through GitHub demonstrates market validation. Not starting from zero - have proven demand and user base. - -7. **Modular Distribution Strategy**: Three working channels (Skills, MCP, Traditional) show ability to support multiple distribution models. Architectural patterns are reusable for marketplace. - -### Areas for Improvement - -1. **Test Infrastructure**: - - **Current state**: No automated test suite visible, manual testing only - - **Desired state**: 80%+ integration test coverage of core MCP tools - - **Gap**: Test framework setup, test writing for all operations, CI integration - - **Priority**: High (blocking for marketplace submission) - - **Impact**: Tests enable confident changes, catch regressions, required for quality - -2. **Code Organization**: - - **Current state**: MCP server is single 1,823-line file (index.js) - - **Desired state**: Modular structure with focused files per tool domain - - **Gap**: Extract to tools/ directory (setup.js, adr.js, review.js, pragmatic.js, status.js) - - **Priority**: High (prerequisite for sustainable maintenance) - - **Impact**: Improves navigability, reduces bug risk, enables parallel development - -3. **Security Formalization**: - - **Current state**: Sound security practices but informal, no documented audit - - **Desired state**: Formal security audit, dependency scanning, documented data policy - - **Gap**: Security review, `npm audit` automation, file system isolation tests - - **Priority**: High (marketplace requirement) - - **Impact**: User trust, marketplace approval, compliance - -4. **Performance Baseline**: - - **Current state**: No performance benchmarks, unknown marketplace performance profile - - **Desired state**: Documented startup time, operation latency, memory footprint baselines - - **Gap**: Benchmark suite, optimization targets, monitoring implementation - - **Priority**: High (marketplace measures performance) - - **Impact**: User experience, marketplace visibility, optimization guidance - -5. **Observability**: - - **Current state**: No usage metrics, qualitative feedback only (GitHub issues) - - **Desired state**: Local telemetry showing feature usage, success rates, error patterns - - **Gap**: Privacy-respecting observability layer, opt-in anonymous metrics - - **Priority**: Medium (enables iteration but not blocking) - - **Impact**: Data-driven improvement, UX optimization, feature prioritization - -6. **Error Message UX**: - - **Current state**: Technical error messages for developers - - **Desired state**: User-friendly messages with actionable next steps - - **Gap**: Error message audit and rewrite for marketplace audience - - **Priority**: Medium (affects user experience) - - **Impact**: Reduced support burden, better ratings, improved onboarding - -7. **Multi-Channel Release Process**: - - **Current state**: Manual coordination across three channels - - **Desired state**: Automated pipeline - git tag triggers all channel updates - - **Gap**: CI/CD workflow, version synchronization, changelog automation - - **Priority**: Medium (important for four-channel sustainability) - - **Impact**: Reduces manual work, prevents version drift, accelerates fixes - -8. **Marketplace Readiness**: - - **Current state**: Framework works well, but not marketplace-optimized - - **Desired state**: Marketplace metadata, onboarding, semantic search optimization - - **Gap**: Description writing, icon/screenshot creation, tutorial design - - **Priority**: Low (only needed if marketplace path chosen) - - **Impact**: Marketplace discovery, conversion, user success - -### Technical Debt - -**High Priority**: - -- **Monolithic MCP Server**: - - **Impact**: Difficult to navigate 1,823-line file, high bug risk, slows development - - **Resolution**: Extract to focused modules (tools/ directory structure) - - **Effort**: Medium (3-5 days refactoring, preserving backwards compatibility) - - **Recommended Timeline**: Before marketplace submission (Week 1-2 of preparation phase) - -- **Missing Test Suite**: - - **Impact**: Regressions go undetected, changes require extensive manual testing, marketplace rejection risk - - **Resolution**: Implement integration tests for all MCP tools, 80%+ coverage target - - **Effort**: Large (5-7 days framework setup + test writing) - - **Recommended Timeline**: Before marketplace submission (Week 1-2 of preparation phase) - -**Medium Priority**: - -- **Configuration Re-parsing**: - - **Impact**: YAML parse overhead on every operation, cumulative latency - - **Resolution**: Implement in-memory cache with file watcher invalidation - - **Effort**: Medium (2-3 days caching layer) - - **Recommended Timeline**: During performance optimization (Week 4 of preparation phase) - -- **Informal Security Practices**: - - **Impact**: Sound architecture but undocumented, no formal audit trail - - **Resolution**: Security audit, dependency scanning automation, documented policy - - **Effort**: Small (1-2 days audit + documentation) - - **Recommended Timeline**: Before marketplace submission (Week 3 of preparation phase) - -- **Manual Release Coordination**: - - **Impact**: Time-consuming, error-prone, delays fixes across channels - - **Resolution**: CI/CD pipeline for synchronized multi-channel releases - - **Effort**: Medium (3-4 days pipeline setup) - - **Recommended Timeline**: Before adding fourth channel (Month 2-3) - -**Low Priority**: - -- **Template File I/O**: - - **Impact**: Repeated disk reads for static content, minor latency - - **Resolution**: Pre-load templates at startup into memory - - **Effort**: Small (1 day) - - **Recommended Timeline**: During performance optimization phase (optional) - -- **Large Project Analysis Scaling**: - - **Impact**: Slow setup in monorepos with thousands of files - - **Resolution**: Configurable timeout, sample-based analysis, depth limits - - **Effort**: Medium (2-3 days) - - **Recommended Timeline**: After marketplace launch based on user feedback - -### Risks - -**Technical Risks**: - -- **Marketplace Rejection** (Likelihood: Medium, Impact: High) - - **Description**: Submission rejected due to missing tests, security concerns, or performance issues - - **Mitigation**: Complete preparation checklist before submission (tests, security audit, benchmarks), beta submission for feedback first - - **Owner**: Implementation Strategist + all technical members - - **Timeline**: Mitigate during preparation phase (Week 1-4) - -- **Performance Issues at Scale** (Likelihood: Low-Medium, Impact: Medium) - - **Description**: Plugin performs poorly for large projects or under load, leads to poor ratings - - **Mitigation**: Establish baselines, implement caching, optimize setup, add progress indicators, test with large projects - - **Owner**: Performance Specialist + AI Engineer - - **Timeline**: Week 4 of preparation phase - -- **Dependency Vulnerabilities** (Likelihood: Low, Impact: High) - - **Description**: Security vulnerabilities in dependencies lead to marketplace rejection or security incidents - - **Mitigation**: Automated `npm audit` in CI, block releases with high/critical CVEs, maintain update schedule - - **Owner**: Security Specialist - - **Timeline**: Immediate (Week 1), ongoing maintenance - -**Business Risks**: - -- **Maintenance Burnout** (Likelihood: High, Impact: High) - - **Description**: Solo maintainer overwhelmed by four-channel support burden, project stagnates or abandoned - - **Mitigation**: - - Design thin wrapper to minimize code duplication (95%+ sharing) - - Automate releases to reduce manual coordination - - Set clear support expectations in marketplace description (3-5 day response time) - - Consider co-maintainer recruitment or community moderator roles - - If unsustainable, deprecate least-used channel - - **Owner**: Implementation Strategist + all members - - **Timeline**: Ongoing capacity planning, automate before marketplace launch - -- **User Confusion** (Likelihood: Medium, Impact: Medium) - - **Description**: Four installation methods create decision paralysis, users choose wrong method, support burden increases - - **Mitigation**: Clear installation decision tree, use case differentiation by persona, prominent guidance in all documentation - - **Owner**: Domain Expert + Systems Architect - - **Timeline**: Week 1 of preparation or GitHub enhancement phase - -- **Low Marketplace Adoption** (Likelihood: Medium, Impact: Medium) - - **Description**: Marketplace plugin doesn't drive significant new user acquisition, doesn't justify maintenance investment - - **Mitigation**: Phase 1 (GitHub enhancement) validates demand before Phase 2 (marketplace), establish success criteria and review after 3 months, can deprecate if not meeting goals - - **Owner**: Domain Expert + Systems Architect - - **Timeline**: Review metrics Month 3-4 - -**Operational Risks**: - -- **Marketplace Policy Changes** (Likelihood: Medium, Impact: Medium) - - **Description**: Claude updates marketplace policies, requires rework or compliance changes - - **Mitigation**: Thin wrapper architecture enables quick adaptations, monitor marketplace announcements, maintain compliance documentation - - **Owner**: Systems Architect + Maintainability Expert - - **Timeline**: Ongoing monitoring post-launch - -- **Version Drift Across Channels** (Likelihood: High without automation, Impact: Medium) - - **Description**: Four channels fall out of sync, users confused about feature availability, support burden increases - - **Mitigation**: Automated release pipeline, shared version number across channels, feature parity documentation matrix - - **Owner**: Maintainability Expert + Systems Architect - - **Timeline**: Implement before fourth channel added (Week 3-4 of preparation) - ---- - -## Recommendations - -### Immediate (0-2 weeks) - -1. **Make Strategic Timing Decision** - - **Why**: All subsequent work depends on this fundamental choice - marketplace path requires 6 weeks preparation, GitHub enhancement requires 2 weeks - - **How**: - - Evaluate system readiness (tests, security, performance, refactoring needs) - - Assess team capacity (solo maintainer, automation level, support bandwidth) - - Review demand signals (user requests, GitHub metrics, competitor analysis) - - Consider phased approach: GitHub first (validate) → marketplace later (if triggered) - - **Owner**: Framework maintainer with input from all architecture perspectives - - **Success Criteria**: Clear decision documented in ADR with rationale and chosen path forward - - **Estimated Effort**: 1-2 days (decision-making, ADR writing, roadmap creation) - -2. **Implement Phase 1: Enhanced GitHub Presence** (RECOMMENDED) - - **Why**: Delivers immediate value regardless of marketplace decision, validates demand with low risk, fully reversible, improves experience for all users - - **How**: - - Improve README: embed Loom demo video prominently, add "Install with Claude" quick-start, create visual installation decision tree - - Enable GitHub Discussions: seed with FAQ, use cases, architecture examples, "Show and Tell" category - - Create SHOWCASE.md: document projects using framework, before/after decision examples, user testimonials - - Optimize SEO: update repo description and topics (Claude, architecture, ADR, documentation), improve keyword presence - - Establish baseline metrics: GitHub clone rate, installation method preferences, support question frequency - - **Owner**: Domain Expert (lead), Systems Architect (decision tree), all members (content) - - **Success Criteria**: - - README includes prominent video and decision tree - - GitHub Discussions enabled with 10+ seeded topics - - SHOWCASE.md created with 3+ examples - - Baseline metrics documented - - **Estimated Effort**: 2 weeks (distributed across team) - -3. **Set Up Monitoring for Phase 2 Triggers** (if phased approach chosen) - - **Why**: Enables data-driven decision on when/if to proceed to marketplace submission - - **How**: - - Document trigger conditions: GitHub plateau, user requests threshold (10+), marketplace dominance signals, capacity increase - - Create tracking spreadsheet: monthly GitHub clone rate, installation method breakdown, marketplace requests count, maintainer capacity hours - - Set review cadence: monthly metric review, quarterly decision point - - **Owner**: Systems Architect (metrics), Implementation Strategist (decision process) - - **Success Criteria**: Tracking system in place, baseline month 1 metrics recorded, first review scheduled - - **Estimated Effort**: 1 day (setup), 1 hour/month (tracking) - -### Short-term (2-8 weeks) - -**IF Phase 2 (Marketplace) is triggered, complete preparation phase**: - -4. **Implement Test Suite** - - **Why**: Required for marketplace quality, prevents regressions, enables confident refactoring, marketplace may require test evidence - - **How**: - - Set up Node.js test framework (built-in test runner or vitest) - - Write integration tests for all MCP tools: setup_architecture, create_adr, start_architecture_review, specialist_review, list_architecture_members, get_architecture_status, configure_pragmatic_mode, pragmatic_enforcer, get_implementation_guidance - - Test happy paths and error cases - - Target 80%+ coverage of core functionality - - Integrate into CI (GitHub Actions) - - **Owner**: Maintainability Expert (lead), Security Specialist (security test cases), Performance Specialist (performance test cases) - - **Success Criteria**: 80%+ test coverage, all core operations tested, CI passing, no regressions detected - - **Estimated Effort**: 5-7 days (framework setup + test writing) - -5. **Extract MCP Server to Modules** - - **Why**: Improves code navigability, reduces bug risk in 1,823-line file, enables parallel development, prerequisite for sustainable maintenance - - **How**: - - Create tools/ directory structure - - Extract tool groups to focused modules: setup.js, adr.js, review.js, pragmatic.js, status.js, implementation.js - - Maintain single export point in index.js for backwards compatibility - - Run test suite to verify no regressions - - Update contribution guidelines with new structure - - **Owner**: Maintainability Expert (lead), Systems Architect (architecture review) - - **Success Criteria**: All tests passing after refactor, <500 lines per module, clear module boundaries, documentation updated - - **Estimated Effort**: 3-5 days (refactoring + validation) - -6. **Security Audit and Hardening** - - **Why**: Marketplace requires security rigor, users expect trust, formal audit provides evidence - - **How**: - - Run `npm audit` and resolve high/critical vulnerabilities - - Manual security review: file operations scope, permission boundaries, dependency chain - - Implement automated `npm audit` in CI (block releases with high/critical CVEs) - - Write data handling policy: "All data local, never transmitted, user controls content" - - Create file system isolation tests (validate .architecture/ namespace) - - Document security model in SECURITY.md - - **Owner**: Security Specialist (lead), Systems Architect (architecture review) - - **Success Criteria**: No high/critical npm vulnerabilities, security policy documented, isolation tests passing, SECURITY.md published - - **Estimated Effort**: 1-2 days (audit + documentation) - -7. **Performance Baseline and Optimization** - - **Why**: Marketplace measures performance, affects visibility and ratings, optimization needs baseline - - **How**: - - Create performance benchmark suite: startup time, setup duration, operation latency (ADR creation, review start), memory footprint - - Run benchmarks on reference project, document baselines - - Implement config caching: in-memory cache for config.yml and members.yml with file watcher invalidation - - Optimize setup process: add progress indicators, streaming file copy, parallelize analysis - - Document performance characteristics and targets - - **Owner**: Performance Specialist (lead), AI Engineer (observability) - - **Success Criteria**: - - Startup time <500ms - - Setup duration <10s with progress indicators - - Memory footprint <50MB baseline - - Config caching implemented - - **Estimated Effort**: 3-4 days (benchmarking + optimization + UX) - -8. **Improve Error Messages** - - **Why**: Marketplace users expect friendly guidance, better UX reduces support burden, affects ratings - - **How**: - - Audit all error cases in MCP server - - Rewrite messages with user-friendly language and actionable next steps - - Examples: - - Before: "Error: ENOENT .architecture" - - After: "Can't find .architecture directory. Run 'Setup ai-software-architect' first to initialize the framework." - - Test error messages with users unfamiliar with framework - - **Owner**: Domain Expert (UX), Maintainability Expert (implementation) - - **Success Criteria**: All error paths have friendly messages, user testing validates clarity, no generic error messages remain - - **Estimated Effort**: 2-3 days (audit + rewrite + testing) - -9. **Design Marketplace Plugin Architecture** - - **Why**: Thin wrapper minimizes maintenance burden of fourth channel, code sharing benefits all channels - - **How**: - - Create architecture design: marketplace listing → thin wrapper → MCP core - - Design wrapper package structure: @ai-software-architect/marketplace - - Define marketplace-specific config layer (minimal) - - Document 95%+ code sharing goal - - Write ADR documenting architecture decision - - **Owner**: Systems Architect (lead), Maintainability Expert (maintenance implications) - - **Success Criteria**: Architecture documented in ADR, code sharing percentage defined, wrapper interface designed - - **Estimated Effort**: 2-3 days (design + ADR) - -10. **Create Marketplace Metadata** - - **Why**: First impression for marketplace users, affects discoverability through semantic search - - **How**: - - Research Claude marketplace requirements and guidelines - - Write marketplace description optimized for semantic search: - - Include problem-space keywords: "document decisions", "review architecture" - - Add synonyms: "ADR" AND "Architecture Decision Record" - - Provide concrete use case examples - - Create visual assets: icon, screenshots, demo GIF - - Design onboarding flow: first-run tutorial concept - - Choose marketplace category and tags: "Development Tools", "Architecture", "Documentation" - - **Owner**: Domain Expert (copy), AI Engineer (semantic optimization), Systems Architect (screenshots) - - **Success Criteria**: Description complete, icon created (multiple sizes), 3+ screenshots, category chosen - - **Estimated Effort**: 2-3 days (research + writing + assets) - -11. **Set Up Release Automation** - - **Why**: Four channels require synchronized releases, automation reduces manual work and prevents version drift - - **How**: - - Create GitHub Actions workflow triggered by semver tag - - Workflow steps: run tests → publish npm package → update Skills bundle → trigger marketplace update → generate changelog - - Test workflow on beta/staging channels first - - Document release process for contributors - - **Owner**: Maintainability Expert (lead), Systems Architect (review) - - **Success Criteria**: Git tag triggers all channel updates, version numbers synchronized, changelog auto-generated, release docs updated - - **Estimated Effort**: 3-4 days (pipeline setup + testing + documentation) - -12. **Conduct User Testing** - - **Why**: Validates onboarding UX before stable launch, identifies confusion patterns, marketplace approval doesn't guarantee user success - - **How**: - - Recruit 3-5 beta testers unfamiliar with framework (social media, Discord, GitHub Discussions) - - Conduct screen-share sessions: observe installation, first ADR creation, command discovery - - Don't intervene - note confusion points, abandoned flows, error encounters - - Analyze patterns across testers - - Iterate on highest-impact issues - - **Owner**: Domain Expert (lead), AI Engineer (observation), Implementation Strategist (analysis) - - **Success Criteria**: 5 completed user sessions, issues categorized by frequency/impact, top 3 issues addressed - - **Estimated Effort**: 1-2 weeks (recruiting, testing, analysis, fixes) - -### Long-term (2-6 months) - -13. **Submit to Marketplace as Beta** - - **Why**: Limits blast radius, enables feedback gathering before stable promotion, validates approach - - **How**: - - Submit marketplace plugin with "Beta" label - - Respond to marketplace review feedback - - Recruit early adopter beta users (announce in README, GitHub Discussions, social media) - - Monitor beta metrics: install count, ratings, review feedback, support questions - - Iterate on issues discovered during beta phase - - **Owner**: Systems Architect (submission), Domain Expert (user communication), all members (issue resolution) - - **Success Criteria**: - - Beta submission approved by marketplace - - 50+ beta installs - - Early feedback gathered and addressed - - No blocking issues discovered - - **Estimated Effort**: 2 weeks (submission, iteration, monitoring) - - **Timeline**: Month 3-4 if Phase 2 triggered - -14. **Promote to Stable Marketplace Listing** - - **Why**: Full marketplace presence after validating quality through beta phase - - **How**: - - Review beta metrics: ratings (target 4+ stars), feedback themes, success rate - - Address any remaining issues from beta feedback - - Remove beta label, submit for stable promotion - - Progressive announcement strategy: marketplace → social media → newsletter (not all at once) - - Monitor stable metrics: install rate, ratings trend, support burden - - **Owner**: Systems Architect (promotion), Domain Expert (announcements), Implementation Strategist (monitoring) - - **Success Criteria**: - - 4+ star average rating maintained - - 100+ installs within first month - - 20%+ new users from marketplace - - Support burden <2 hours/week - - **Estimated Effort**: 1 week (promotion + announcement + initial monitoring) - - **Timeline**: Month 4-5 if beta successful - -15. **Implement Local Observability Layer** - - **Why**: Enables data-driven iteration on features and UX, understands how users interact with plugin - - **How**: - - Design privacy-respecting telemetry: local-only storage, no transmission, optional anonymous sharing - - Implement metrics collection: operation counts, success rates, error frequencies, performance timings - - Create debug command: `architecture-debug stats` shows user their local metrics - - Document privacy policy: what's collected, what's not, how to opt-in to anonymous sharing - - Add metrics dashboard (future): visualize trends over time - - **Owner**: AI Engineer (lead), Performance Specialist (performance metrics), Security Specialist (privacy review) - - **Success Criteria**: - - Local metrics collection working - - Debug command functional - - Privacy policy documented - - No data transmitted without explicit opt-in - - **Estimated Effort**: 3-5 days (implementation + privacy documentation) - - **Timeline**: Month 2-3 (enables iteration for beta/stable phases) - -16. **Evaluate Marketplace-Specific Features** - - **Why**: Optimize for platform capabilities after validating core value, differentiate marketplace experience - - **How**: - - Analyze usage data from observability layer: which features used most, where do users struggle - - Review marketplace capabilities: auto-updates, ratings integration, in-app UI, community showcase - - Prioritize enhancements: guided tutorials, visual member customization, interactive setup, analytics dashboard - - Implement top priority feature - - Measure impact on user success and ratings - - **Owner**: Domain Expert (prioritization), AI Engineer (implementation), Systems Architect (architecture review) - - **Success Criteria**: - - Data analysis complete - - Feature prioritization documented - - Top feature implemented and deployed - - Impact measured (usage, ratings improvement) - - **Estimated Effort**: 3-5 days per feature - - **Timeline**: Month 5+ after stable launch, based on validated demand - -17. **Review Multi-Channel Strategy** - - **Why**: Assess if four channels are sustainable and valuable, consider consolidation opportunities - - **How**: - - Analyze metrics across all channels: usage distribution, growth trends, support burden per channel - - Evaluate maintenance burden: time spent per channel, bug reports by channel, feature request distribution - - Survey users: which channel do they prefer and why, would they switch if one deprecated - - Decision framework: if channel <10% usage and high maintenance burden, consider deprecation - - Document findings and recommendations in review document - - **Owner**: Systems Architect (analysis), Implementation Strategist (strategy), Maintainability Expert (burden assessment) - - **Success Criteria**: - - Channel usage data compiled - - Maintenance burden quantified - - User preferences understood - - Recommendations documented (consolidate, maintain all, deprecate) - - **Estimated Effort**: 1 week (data gathering + analysis + documentation) - - **Timeline**: Month 6 after stable launch - ---- - -## Success Metrics - -### Phase 1: Enhanced GitHub Presence (Month 1-3) - -1. **GitHub Clone Rate**: - - **Current**: [Establish baseline Week 1] - - **Target**: +50% increase over baseline - - **Timeline**: 2 months after enhancements deployed - - **Measurement**: GitHub Insights API, weekly tracking - -2. **Installation Method Distribution**: - - **Current**: [Establish baseline Week 1] - - **Target**: Clear preference pattern identified (Skills vs MCP vs Traditional), documented user rationale - - **Timeline**: Monthly tracking for 3 months - - **Measurement**: GitHub Discussions polls, user surveys, installation analytics (if implemented) - -3. **Support Question Volume**: - - **Current**: [Establish baseline Week 1] - - **Target**: -30% reduction in "How do I install?" questions - - **Timeline**: 2 months after decision tree deployed - - **Measurement**: GitHub Issues categorization, Discussions topics - -4. **Community Engagement**: - - **Current**: 0 (Discussions not enabled) - - **Target**: 20+ active discussions, 5+ projects in SHOWCASE.md, 10+ contributors in discussions - - **Timeline**: 3 months after Discussions enabled - - **Measurement**: GitHub Discussions metrics, SHOWCASE.md additions - -### Phase 2 Triggers (Month 3-4 evaluation) - -5. **Marketplace Demand Signals**: - - **Current**: 0 explicit user requests - - **Target**: 10+ explicit user requests for marketplace listing OR GitHub clone rate plateaus despite enhancements - - **Timeline**: Evaluate after 3 months Phase 1 - - **Measurement**: GitHub Issues/Discussions requests, support email, social media mentions - -### Phase 2: Marketplace Plugin (if triggered) - -6. **Marketplace Submission Approval**: - - **Target**: Approved within 2 weeks of beta submission, no major issues - - **Timeline**: Week 5-6 of preparation phase - - **Measurement**: Marketplace review timeline, feedback severity - -7. **Beta Phase Success** (Month 4-5): - - **Install Count**: 50+ beta installs - - **Rating**: 4+ stars average - - **Feedback Quality**: Actionable feedback gathered, no blocking issues - - **Timeline**: 2-4 weeks beta phase - - **Measurement**: Marketplace analytics, review content analysis - -8. **Stable Launch Success** (Month 5-6): - - **Installs**: 100+ installs within first month stable - - **Rating**: 4+ stars average maintained - - **New User Distribution**: 20%+ new users from marketplace (vs GitHub) - - **Timeline**: First month after stable promotion - - **Measurement**: Marketplace analytics, user surveys on discovery method - -9. **Support Burden**: - - **Target**: <2 hours/week marketplace-specific support - - **Timeline**: Ongoing after stable launch - - **Measurement**: Issue tracker time logging, support email volume - -10. **Performance Metrics**: - - **Startup Time**: <500ms (measured at plugin load) - - **Setup Duration**: <10s with progress indicators (measured during first-time setup) - - **Operation Latency**: <2s for ADR creation, <3s for review start - - **Memory Footprint**: <50MB baseline (measured during operation) - - **Timeline**: Maintain throughout beta and stable phases - - **Measurement**: Performance benchmark suite, marketplace performance reports - -11. **Security & Reliability**: - - **Security Incidents**: 0 major incidents - - **Dependency Vulnerabilities**: 0 high/critical unpatched - - **Uptime/Availability**: 99.9%+ (no blocking bugs) - - **Timeline**: Ongoing after launch - - **Measurement**: Security audit reports, npm audit logs, bug tracker - -### Long-term Health (Month 6+) - -12. **Multi-Channel Sustainability**: - - **Version Sync**: 100% version parity across all channels - - **Feature Parity**: Core features identical across channels - - **Release Frequency**: <1 day lag between npm publish and all channel updates - - **Timeline**: Ongoing - - **Measurement**: Release pipeline logs, feature matrix documentation - -13. **User Retention**: - - **Active Users**: Growing or stable active user base across all channels - - **Churn Rate**: <20% churn (users who try once and don't return) - - **Repeat Operations**: Users creating multiple ADRs/reviews (indicates value) - - **Timeline**: Quarterly review - - **Measurement**: Observability telemetry (if implemented), GitHub activity, marketplace analytics - -14. **Maintenance Burden Sustainability**: - - **Time Investment**: Maintainer spending <5 hours/week on support and releases - - **Automation Level**: 90%+ release tasks automated - - **Community Contributions**: 3+ active community contributors helping with issues/PRs - - **Timeline**: Quarterly assessment - - **Measurement**: Time tracking, CI/CD automation coverage, contributor metrics - ---- - -## Follow-up - -**Next Review**: Month 3 after Phase 1 deployment (evaluate triggers for Phase 2) - -**Tracking**: -- Create GitHub Project board: "Claude Marketplace Strategy" -- Columns: Backlog, In Progress, Done, Blocked -- Cards for each recommendation with owner, effort estimate, timeline -- Weekly progress updates in project board -- Monthly metrics review meeting - -**Recalibration**: -After implementing recommendations and launching marketplace plugin (if Phase 2 triggered): -``` -"Start architecture recalibration for Claude marketplace plugin" -``` - -This will assess: -- How well did preparation phase address identified gaps? -- Were complexity and necessity assessments accurate? -- Did phased approach reduce risks as intended? -- What marketplace-specific issues emerged post-launch? -- Should multi-channel strategy be reconsidered? - -**Accountability**: -- **Overall Owner**: Framework maintainer (strategic decisions, final approvals) -- **Progress Tracking**: Systems Architect (maintain project board, coordinate members) -- **Check-in Cadence**: - - Weekly: Progress updates in project board (async) - - Monthly: Metrics review and decision point assessment - - Quarterly: Strategic review (continue, pivot, consolidate) -- **Status Updates**: Document in project board, monthly summary in GitHub Discussions - ---- - -## Related Documentation - -**Architectural Decision Records**: -- [ADR-001: CLI Functional Requirements](../decisions/adrs/ADR-001-cli-functional-requirements.md) - Foundation for Skills/MCP architecture -- [ADR-002: Pragmatic Guard Mode](../decisions/adrs/ADR-002-pragmatic-guard-mode.md) - YAGNI enforcement relevant to marketplace feature scope -- [ADR-003: Adoption of Agents.md Standard](../decisions/adrs/ADR-003-adoption-agents-md-standard.md) - Cross-platform documentation approach -- [ADR-004: Implementation Command with Configuration](../decisions/adrs/ADR-004-implementation-command-configuration.md) - Methodology guidance system -- [ADR-005: LLM Instruction Capacity Constraints](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Progressive disclosure pattern (marketplace advantage) -- **[NEW]** ADR-006: Claude Marketplace Strategy - Should document final decision from this review - -**Previous Reviews**: -- [Feature Parity Analysis](./feature-parity-analysis.md) - Comparison across Skills, MCP, Traditional channels -- [Version 1.3.0 Release Review](./1-3-0.md) - Recent release context and stability assessment - -**Referenced Documents**: -- [AGENTS.md](../../AGENTS.md) - Framework overview and core workflows -- [CLAUDE.md](../../CLAUDE.md) - Claude Code-specific features and integration -- [README.md](../../README.md) - Installation comparison matrix and integration methods -- [mcp/package.json](../../mcp/package.json) - Current npm package configuration -- [.architecture/members.yml](../members.yml) - Architecture team member definitions -- [.architecture/config.yml](../config.yml) - Framework configuration including pragmatic mode - ---- - -## Appendix - -### Review Methodology - -This review was conducted using the AI Software Architect framework with the following team members: - -- **Systems Architect**: Overall system coherence, multi-channel architecture, version synchronization -- **Domain Expert**: Market positioning, user personas, marketplace terminology and onboarding -- **Security Specialist**: Security model, marketplace permissions, data handling, dependency scanning -- **Performance Specialist**: Performance benchmarking, optimization, marketplace performance requirements -- **Maintainability Expert**: Code organization, testing, maintenance burden, release automation -- **Implementation Strategist**: Timing assessment, blast radius analysis, reversibility design, team readiness -- **AI Engineer**: LLM optimization, agent patterns, observability, semantic search optimization -- **Pragmatic Enforcer**: YAGNI analysis, necessity vs complexity assessment, simpler alternatives - -Each member reviewed independently, then collaborated to synthesize findings and prioritize recommendations. - -**Pragmatic Mode**: Balanced -- Complexity-to-necessity target ratio: <1.5 -- All recommendations evaluated through YAGNI lens -- Simpler alternative (Enhanced GitHub) proposed and evaluated -- Phased approach recommended to validate demand before full complexity - -### Glossary - -- **ADR**: Architecture Decision Record - Lightweight document capturing important architectural decisions -- **MCP**: Model Context Protocol - Standard for AI assistant tool integration via stdio transport -- **Skills**: Claude Code's reusable skill system for common operations -- **Progressive Disclosure**: Design pattern that limits initial information load, revealing details on demand (ADR-005) -- **Thin Wrapper**: Architecture pattern where marketplace plugin is minimal metadata layer delegating to core package -- **Blast Radius**: Scope of impact if a change fails or needs reversal (how many components/users affected) -- **Reversibility**: Ease of undoing a change or architectural decision -- **Social Cost**: Impact on team understanding and cognitive load (will this confuse more people than it helps) -- **YAGNI**: "You Aren't Gonna Need It" - Pragmatic principle to avoid premature optimization/features -- **Complexity-to-Necessity Ratio**: Pragmatic metric comparing implementation complexity to current need (target <1.5) - ---- - -**Review Complete** -**Date**: 2026-01-21 -**Status**: Comprehensive analysis complete, awaiting strategic decision on Phase 1 (Enhanced GitHub) vs Phase 2 (Marketplace) vs Hybrid approach -**Recommended Next Action**: Create ADR documenting chosen strategy based on this review diff --git a/.architecture/reviews/claude-md-best-practices-humanlayer-article.md b/.architecture/reviews/claude-md-best-practices-humanlayer-article.md deleted file mode 100644 index b4e024c..0000000 --- a/.architecture/reviews/claude-md-best-practices-humanlayer-article.md +++ /dev/null @@ -1,714 +0,0 @@ -# Architecture Review: CLAUDE.md Best Practices from HumanLayer Article - -**Review Date**: 2025-12-04 -**Review Type**: External Best Practices Analysis -**Source**: [HumanLayer Blog - Writing a Good CLAUDE.md](https://www.humanlayer.dev/blog/writing-a-good-claude-md) -**Context**: Analysis of industry best practices for CLAUDE.md documentation to inform our AI Software Architect framework - -## Executive Summary - -This review analyzes HumanLayer's recommendations for writing effective CLAUDE.md files through the lens of our architecture team. The article presents research-backed insights on LLM instruction capacity, documentation structure, and practical guidelines that have significant implications for our framework's approach to AI assistant onboarding. - -**Key Findings**: -- LLMs have limited instruction-following capacity (~150-200 instructions) -- Claude Code's system prompt already consumes ~50 instructions -- File length consensus: under 300 lines, with best practices under 60 lines -- Progressive disclosure through separate files is superior to comprehensive single files -- Tool-based enforcement (linters, formatters) should replace documentation-based style guidance -- Manual curation is critical for this "highest leverage point" in AI workflows - ---- - -## Individual Member Reviews - -### AI Engineer - LLM Integration & Effectiveness - -**Perspective**: As an AI Engineer specializing in LLM application design, I evaluate these recommendations through the lens of practical AI system performance and user experience. - -#### Critical Findings - -**1. Instruction Capacity Constraints (CRITICAL)** -The article's revelation about LLM instruction limits (~150-200 total) is fundamental: -- Claude Code already uses ~50 instructions in system prompt -- Leaves only 100-150 instructions for project-specific guidance -- Our current CLAUDE.md has 572 lines with extensive procedural instructions -- **Risk**: We're likely exceeding optimal instruction density, causing degraded performance - -**Measurement**: Our CLAUDE.md contains approximately: -- 7 major request recognition patterns (Setup, Update, Implementation, Reviews, Pragmatic Mode) -- Each pattern has 5-10 detailed steps -- Estimated 70-100 discrete instructions -- **Assessment**: At upper boundary of optimal range, but includes redundancy - -**2. Claude Code's System Reminder Behavior (HIGH PRIORITY)** -The article reveals Claude Code injects: "may or may not be relevant to tasks" -- Claude actively filters out non-universally-applicable instructions -- Explains why task-specific "hotfixes" often fail -- Our framework includes setup/update procedures that are rarely relevant during normal work -- **Impact**: Setup instructions consuming instruction budget without delivering value - -**3. Progressive Disclosure Pattern (BEST PRACTICE)** -Recommendation to separate task-specific guidance into `agent_docs/` files: -- Reduces main file instruction density -- Allows targeted loading of relevant context -- Aligns with how Claude Code's Task tool works -- **Opportunity**: Restructure our extensive request recognition patterns - -#### Recommendations - -1. **Immediate**: Separate infrequently-used patterns (Setup, Update) into `agent_docs/setup-guide.md` -2. **High Priority**: Reduce Implementation Command Recognition from 100+ lines to pointer reference -3. **Best Practice**: Create modular documentation structure: - - `CLAUDE.md`: Core concepts, 50-100 lines - - `agent_docs/setup.md`: Setup procedures - - `agent_docs/implementation.md`: Implementation methodology details - - `agent_docs/reviews.md`: Review process details - - `agent_docs/pragmatic-mode.md`: Pragmatic mode mechanics - -4. **Measurement**: Track actual instruction effectiveness through user feedback - -#### Trade-offs - -**Restructuring Benefits**: -- Clearer cognitive load for Claude -- Faster initial context processing -- Better alignment with Claude Code's filtering behavior -- More maintainable documentation - -**Restructuring Costs**: -- Migration effort for existing users -- Need to update documentation to reference new structure -- Potential confusion if not communicated clearly - -**Recommendation**: Benefits significantly outweigh costs. This is a critical optimization. - ---- - -### Maintainability Expert - Documentation Quality - -**Perspective**: As a Maintainability Expert, I assess these recommendations against long-term documentation health, developer comprehension, and maintenance burden. - -#### Critical Findings - -**1. File Length Anti-Pattern (HIGH PRIORITY)** -Our current CLAUDE.md at 572 lines significantly exceeds recommendations: -- HumanLayer consensus: < 300 lines -- HumanLayer's own file: < 60 lines -- Industry best practice: focused, relevant context over comprehensive coverage -- **Impact**: Reduced Claude comprehension, slower processing, maintenance burden - -**Root Cause Analysis**: -- Comprehensive procedural documentation for all scenarios -- Detailed step-by-step instructions for each request type -- Examples and edge cases inline -- No separation between "always relevant" and "sometimes relevant" content - -**2. Progressive Disclosure Pattern (BEST PRACTICE)** -The recommendation for separate markdown files addresses multiple maintainability concerns: -- **Findability**: Specific topics in dedicated files easier to locate -- **Updateability**: Changes scoped to single concern -- **Testability**: Easier to validate specific guidance in isolation -- **Reusability**: Task-specific docs can be referenced by multiple contexts - -**3. Reference vs Embedding Pattern (CRITICAL)** -Article's guidance on `file:line` pointers vs code snippets: -- Embedded code becomes stale (maintenance burden) -- File references stay current automatically -- Reduces duplication and version skew -- **Assessment**: We currently use descriptive text, not code snippets, so partially compliant - -#### Recommendations - -1. **Restructure for Maintainability**: - ``` - CLAUDE.md (60-100 lines) - ├── Core principles (what/why/how) - ├── Project overview - ├── Quick reference links to agent_docs/ - └── Critical-always-relevant guidelines - - agent_docs/ - ├── setup-guide.md (full setup procedures) - ├── implementation-guide.md (methodology details) - ├── review-workflows.md (review processes) - ├── pragmatic-mode-guide.md (YAGNI enforcement) - └── troubleshooting.md (common issues) - ``` - -2. **Maintenance Protocol**: - - Review CLAUDE.md quarterly for relevance - - Track which sections are actually used (user feedback) - - Remove or relocate underutilized content - - Maintain < 100 line target for main file - -3. **Documentation Quality Standards**: - - Every instruction must be universally applicable - - No task-specific workarounds in main file - - All examples moved to separate guides - - Clear pointer references to detailed documentation - -#### Trade-offs - -**Current State Benefits**: -- Everything in one place -- No ambiguity about what's available -- Comprehensive coverage - -**Current State Costs**: -- Exceeds LLM instruction capacity -- Difficult to maintain -- Slower processing -- Some content filtered by Claude Code - -**Recommended State Benefits**: -- Optimal instruction density -- Better maintainability -- Faster processing -- Aligned with Claude Code behavior - -**Recommended State Costs**: -- Learning curve for modular structure -- Need to know where to look -- More files to manage - -**Recommendation**: Strongly favor restructuring. The maintenance and performance benefits are substantial. - ---- - -### Systems Architect - Overall System Coherence - -**Perspective**: As a Systems Architect, I evaluate how these recommendations affect the overall architecture documentation system and cross-assistant compatibility. - -#### Critical Findings - -**1. CLAUDE.md Role in System Architecture (CRITICAL)** -The article positions CLAUDE.md as a "highest leverage point": -- Affects every Claude Code interaction -- Primary onboarding mechanism for AI assistants -- Disproportionate impact on all downstream work -- **Insight**: This validates our investment in comprehensive CLAUDE.md but suggests we're over-investing in the wrong way - -**Current Architecture**: -``` -CLAUDE.md (572 lines, comprehensive) - ├── Setup procedures (rarely used) - ├── Update procedures (rarely used) - ├── Implementation guidance (sometimes used) - ├── Review workflows (frequently used) - └── Pragmatic mode (sometimes used) -``` - -**Optimal Architecture** (based on article): -``` -CLAUDE.md (60-100 lines, high-leverage content) - ├── Project essence (what/why/how) - ├── Architecture framework overview - └── Pointers to detailed guides - -agent_docs/ (detailed, context-specific) - ├── setup-guide.md - ├── implementation-guide.md - ├── review-workflows.md - └── pragmatic-mode-guide.md -``` - -**2. Cross-Assistant Compatibility (MEDIUM PRIORITY)** -Our framework supports Claude, Cursor, and Copilot: -- Article is Claude-specific -- Other assistants may have different instruction capacities -- Progressive disclosure pattern is universally beneficial -- **Consideration**: AGENTS.md remains the cross-platform core - -**System Coherence**: -- AGENTS.md: Cross-platform principles (unchanged) -- CLAUDE.md: Claude-optimized quick reference -- agent_docs/: Detailed task-specific guides (universal) -- .architecture/: Architecture artifacts (unchanged) - -**3. Integration with Existing Architecture Documentation (HIGH PRIORITY)** -Our `.architecture/` directory already follows modular pattern: -- ADRs in separate files -- Reviews in separate files -- Templates in separate directory -- **Insight**: We already practice progressive disclosure for architecture artifacts, just not for assistant instructions - -**Alignment Opportunity**: Apply same modular principles to CLAUDE.md that we use for architecture documentation. - -#### Recommendations - -1. **Architectural Refactoring**: - - Treat CLAUDE.md as "index" not "encyclopedia" - - Move detailed procedures to agent_docs/ - - Maintain coherence with AGENTS.md (cross-platform core) - - Keep .architecture/ modular structure (no changes needed) - -2. **System Integration**: - - Reference agent_docs/ from CLAUDE.md - - Agent docs can reference .architecture/ when needed - - Maintain clear separation of concerns: - - AGENTS.md: What the framework does (cross-platform) - - CLAUDE.md: How Claude accesses it (Claude-specific) - - agent_docs/: Detailed procedures (universal) - - .architecture/: Architecture artifacts (domain content) - -3. **Version Management**: - - CLAUDE.md version stays aligned with framework version - - agent_docs/ can version independently if needed - - Clear documentation of which versions are compatible - -#### Trade-offs - -**System Coherence Benefits**: -- Clear separation of concerns -- Modular, maintainable structure -- Scales with framework growth -- Aligns with existing architecture patterns - -**System Coherence Costs**: -- More moving parts -- Need clear navigation -- Documentation of documentation needed - -**Recommendation**: Refactor CLAUDE.md to match the modular architecture we already use successfully in .architecture/. This brings system coherence and aligns with article recommendations. - ---- - -### Pragmatic Enforcer - Simplicity & YAGNI - -**Perspective**: As the Pragmatic Enforcer, I evaluate whether these recommendations align with YAGNI principles and whether we're over-engineering our documentation. - -#### Critical Findings - -**1. Documentation Over-Engineering (CRITICAL)** -Our 572-line CLAUDE.md is a classic example of premature optimization: -- **"But what if..."**: We documented every possible request pattern -- **"For completeness..."**: We included comprehensive step-by-step instructions -- **"Just in case..."**: We added examples and edge cases -- **Reality Check**: How often are Setup instructions actually used? Once per project. - -**YAGNI Analysis**: -- Setup procedures: Used once, consume ~100 lines, take ~20 instructions -- Update procedures: Used rarely, consume ~60 lines, take ~10 instructions -- Implementation details: Used sometimes, consume ~170 lines, take ~30 instructions -- **Waste**: ~330 lines (57%) used infrequently but loaded always - -**2. Linter Anti-Pattern (HIGH PRIORITY)** -Article explicitly recommends: "Don't Use Linters" in CLAUDE.md -- Style enforcement should be tool-based, not instruction-based -- We don't currently include linter instructions, but we include extensive style guidance in Implementation section -- **Question**: Do we need methodology instructions in CLAUDE.md, or should configuration files + tool hooks handle this? - -**Pragmatic Challenge**: -```yaml -# Instead of 170 lines of implementation methodology in CLAUDE.md: -implementation: - methodology: "TDD" - influences: - - "Kent Beck" - - "Sandi Metz" - # ... (in .architecture/config.yml) -``` - -Plus a simple hook/slash command that applies these during implementation. - -**3. Manual Curation Value (MEDIUM PRIORITY)** -Article states: "Avoid Auto-Generation" - this is a "highest leverage point" -- **Agreement**: We advocate manual curation -- **But**: Is 572 lines of manual curation better than 60 lines? -- **YAGNI Principle**: Manual curation doesn't mean comprehensive curation - -#### Recommendations - -**Necessity Assessment**: - -| Content | Current Need (0-10) | Future Need (0-10) | Cost of Waiting (0-10) | -|---------|---------------------|--------------------|-----------------------| -| Setup procedures in CLAUDE.md | 1 (once per project) | 1 | 0 (can reference separate doc) | -| Update procedures in CLAUDE.md | 1 (rarely used) | 1 | 0 (can reference separate doc) | -| Implementation methodology details | 4 (sometimes) | 6 | 2 (losing context) | -| Review workflows overview | 8 (frequently) | 9 | 7 (core workflow) | -| Pragmatic mode overview | 6 (when enabled) | 7 | 4 (important feature) | - -**Complexity Assessment**: - -| Content | Added Complexity (0-10) | Maintenance Burden (0-10) | Learning Curve (0-10) | -|---------|-------------------------|---------------------------|-----------------------| -| Current CLAUDE.md | 8 (cognitive overload) | 9 (must maintain all) | 7 (too much to absorb) | -| Proposed structure | 4 (clear separation) | 5 (more files, but scoped) | 5 (need to navigate) | - -**Simpler Alternative**: -```markdown -# CLAUDE.md (60 lines) - -## About This Project -AI Software Architect: Architecture documentation framework for AI coding assistants. - -## Structure -- `.architecture/`: Architecture decisions, reviews, recalibration -- `agent_docs/`: Detailed guidance for AI assistants -- `AGENTS.md`: Cross-platform instructions - -## Key Workflows -- **Architecture Reviews**: See agent_docs/review-workflows.md -- **Create ADRs**: See agent_docs/adr-creation.md -- **Setup Framework**: See agent_docs/setup-guide.md -- **Implementation**: See agent_docs/implementation-guide.md - -## Quick Reference -Members: .architecture/members.yml -Principles: .architecture/principles.md -Config: .architecture/config.yml -``` - -**Recommendation by Section**: -1. **Setup/Update procedures**: DEFER to agent_docs/ (0% need in normal workflow) -2. **Implementation methodology details**: SIMPLIFY to config + pointer (20% current size) -3. **Review workflows**: KEEP but simplify to essentials + pointer (50% current size) -4. **Pragmatic mode**: KEEP but simplify to essentials + pointer (50% current size) - -**Overall Recommendation**: IMPLEMENT NOW -- Clear necessity: Performance and maintainability issues -- Clear benefit: Aligned with LLM capacity and best practices -- Low cost: Refactoring existing content, not creating new -- High value: Affects all AI assistant interactions - -#### Trade-offs - -**Simplification Benefits**: -- Respects LLM instruction capacity -- Faster processing -- Easier to maintain -- Clearer cognitive model -- Aligns with YAGNI and best practices - -**Simplification Costs**: -- Need to navigate to agent_docs/ for details -- More files to manage -- Learning curve for new structure - -**Justification**: The costs are minimal and the benefits are substantial. This is exactly the kind of simplification pragmatic mode advocates for. - ---- - -### Domain Expert - Business Logic & User Needs - -**Perspective**: As a Domain Expert, I evaluate these recommendations against the needs of our actual users: developers setting up and using the AI Software Architect framework. - -#### Critical Findings - -**1. User Journey Mismatch (HIGH PRIORITY)** -Analyzing typical user interactions with CLAUDE.md: - -**Frequency Analysis**: -- **One-time**: Setup framework (once per project) -- **Rare**: Update framework (quarterly or less) -- **Occasional**: Understand implementation methodology (when questions arise) -- **Frequent**: Request architecture reviews (multiple times per project) -- **Frequent**: Create ADRs (multiple times per project) -- **Occasional**: Enable/use pragmatic mode (once, then forget) - -**Current Structure vs. User Needs**: -- CLAUDE.md loads all content for every interaction -- Setup instructions (one-time) consume same attention as reviews (frequent) -- No prioritization based on actual usage patterns -- **Impact**: User needs not aligned with content structure - -**2. Semantic Boundaries (MEDIUM PRIORITY)** -The article's WHAT/WHY/HOW framework reveals our semantic confusion: - -**Current CLAUDE.md mixes**: -- WHAT: Framework structure and capabilities (good) -- WHY: Architectural principles (good) -- HOW: Detailed procedures (too detailed, should reference elsewhere) - -**Optimal Semantic Model**: -``` -CLAUDE.md: - - WHAT: AI Software Architect framework overview - - WHY: Structured architecture documentation - - HOW: Pointer references to detailed guides - -agent_docs/: - - Detailed HOW for specific tasks -``` - -**3. Mental Model Alignment (HIGH PRIORITY)** -Users mental model: "I want to [do task]" -- Current: Read 572 lines to find task guidance -- Optimal: See task in quick reference, follow pointer - -**Domain Language Clarity**: -The article recommends progressive disclosure aligns with how users think: -- "I need to set up the framework" → agent_docs/setup-guide.md -- "I want an architecture review" → agent_docs/review-workflows.md -- "I need to create an ADR" → agent_docs/adr-creation.md - -This matches domain language better than monolithic documentation. - -#### Recommendations - -1. **User-Centric Restructuring**: - ```markdown - # CLAUDE.md - Organized by user journey frequency - - ## Always Relevant (loaded every interaction) - - Project overview (WHAT/WHY) - - Directory structure - - Core principles - - ## Frequently Used (quick reference + pointer) - - Architecture reviews → agent_docs/review-workflows.md - - ADR creation → agent_docs/adr-creation.md - - Pragmatic mode → agent_docs/pragmatic-mode-guide.md - - ## Occasionally Used (pointer only) - - Setup → agent_docs/setup-guide.md - - Update → agent_docs/update-guide.md - - Implementation → agent_docs/implementation-guide.md - ``` - -2. **Domain Language Alignment**: - - Use user's task language in quick reference - - Match file names to user intents - - Provide examples in domain terms (not technical abstractions) - -3. **User Feedback Loop**: - - Track which agent_docs are accessed most - - Identify gaps in quick reference - - Iterate on pointer descriptions for clarity - -#### Trade-offs - -**User-Centric Benefits**: -- Matches how users actually think and work -- Faster task completion -- Less cognitive load -- Better discovery of available features - -**User-Centric Costs**: -- Need to educate users on new structure -- Potential initial confusion -- More files to navigate - -**Recommendation**: Strongly favor user-centric restructuring. The domain model will be clearer and more aligned with actual usage patterns. - ---- - -## Collaborative Discussion - -### Convergent Findings - -All architecture members converge on several critical points: - -**1. UNANIMOUS: File Length Reduction Critical** -- **AI Engineer**: Exceeds LLM instruction capacity -- **Maintainability Expert**: Maintenance burden and comprehension issues -- **Systems Architect**: Violates modular architecture principles -- **Pragmatic Enforcer**: Over-engineering, YAGNI violation -- **Domain Expert**: Doesn't match user needs - -**Consensus**: Reduce CLAUDE.md to < 100 lines, move detailed procedures to agent_docs/ - -**2. UNANIMOUS: Progressive Disclosure Best Practice** -All members recognize benefits of modular documentation: -- Better performance (AI Engineer) -- Better maintainability (Maintainability Expert) -- Better architecture (Systems Architect) -- Simpler (Pragmatic Enforcer) -- User-centric (Domain Expert) - -**Consensus**: Implement agent_docs/ structure immediately - -**3. MAJORITY: Tool-Based Enforcement Over Documentation** -- **AI Engineer**: Saves instruction capacity -- **Pragmatic Enforcer**: Simpler, more reliable -- **Systems Architect**: Better separation of concerns -- **Note**: Maintainability Expert and Domain Expert neutral - -**Consensus**: Move style/methodology enforcement to config files + hooks/slash commands - -### Divergent Perspectives - -**1. Granularity of agent_docs/ Files** -- **Maintainability Expert**: More files = better maintainability -- **Pragmatic Enforcer**: Too many files = over-engineering -- **Resolution**: Balance - one file per major workflow, combined files for related tasks - -**2. Quick Reference Verbosity** -- **Domain Expert**: More context in quick reference for user clarity -- **AI Engineer**: Minimal quick reference to preserve instruction capacity -- **Resolution**: Brief description (1-2 sentences) + pointer, details in agent_docs - -**3. Migration Strategy** -- **Pragmatic Enforcer**: YAGNI - just do it -- **Systems Architect**: Careful migration with version compatibility -- **Resolution**: Immediate refactoring with clear communication and backwards-compatible pointers - ---- - -## Consolidated Recommendations - -### Critical Priority (Implement Immediately) - -**1. Restructure CLAUDE.md to < 100 Lines** -- **Action**: Move 80% of current content to agent_docs/ -- **Retain**: Project overview, quick reference, high-leverage guidance -- **Move**: Setup, update, detailed procedures -- **Timeline**: Single refactoring session -- **Impact**: Dramatic improvement in Claude Code performance - -**2. Create Progressive Disclosure Structure** -- **Action**: Create agent_docs/ directory with modular guides -- **Structure**: - ``` - agent_docs/ - ├── setup-guide.md (setup procedures) - ├── review-workflows.md (architecture reviews) - ├── adr-creation.md (ADR creation) - ├── implementation-guide.md (methodology details) - ├── pragmatic-mode-guide.md (YAGNI enforcement) - └── troubleshooting.md (common issues) - ``` -- **Timeline**: Reorganize existing content -- **Impact**: Better maintainability, clearer user paths - -**3. Document Instruction Capacity Constraints** -- **Action**: Create ADR documenting LLM instruction limits -- **Content**: Research findings, implications for framework -- **Reference**: HumanLayer article, instruction capacity research -- **Timeline**: Immediate -- **Impact**: Informs all future documentation decisions - -### High Priority (Implement Soon) - -**4. Move Style Enforcement to Configuration** -- **Action**: Leverage .architecture/config.yml for implementation methodology -- **Enhancement**: Create slash commands or hooks for enforcement -- **Benefit**: Saves instruction capacity, more reliable enforcement -- **Timeline**: Next enhancement cycle - -**5. Establish Documentation Quality Standards** -- **Action**: Create guidelines for CLAUDE.md and agent_docs/ content -- **Standards**: - - CLAUDE.md < 100 lines - - Each agent_docs file < 200 lines - - Only universally-applicable instructions in CLAUDE.md - - Task-specific guidance in agent_docs/ - - Quarterly review of relevance -- **Timeline**: Document after restructuring - -### Medium Priority (Consider) - -**6. User Feedback Mechanism** -- **Action**: Track which agent_docs are accessed -- **Benefit**: Data-driven documentation improvement -- **Method**: User surveys, usage analytics -- **Timeline**: After restructuring stabilizes - -**7. Cross-Assistant Documentation Review** -- **Action**: Ensure agent_docs/ structure works for Cursor, Copilot -- **Consideration**: Different instruction capacities -- **Timeline**: After CLAUDE.md restructuring complete - ---- - -## Implementation Roadmap - -### Phase 1: Immediate Refactoring (1-2 days) - -1. **Create agent_docs/ Directory Structure** - - Set up directory - - Create placeholder files - -2. **Extract Content from CLAUDE.md** - - Move setup procedures → agent_docs/setup-guide.md - - Move update procedures → agent_docs/update-guide.md - - Move implementation details → agent_docs/implementation-guide.md - - Move review details → agent_docs/review-workflows.md - - Move pragmatic mode details → agent_docs/pragmatic-mode-guide.md - -3. **Rewrite CLAUDE.md as Quick Reference** - - Project overview (WHAT/WHY) - - Directory structure - - Quick reference with pointers - - Target: < 100 lines - -4. **Create ADR for Instruction Capacity** - - Document research findings - - Document restructuring decision - - Reference HumanLayer article - -### Phase 2: Enhancement (1 week) - -5. **Create Enforcement Mechanisms** - - Slash commands for common workflows - - Hooks for style enforcement - - Leverage existing config.yml - -6. **Documentation Quality Standards** - - Document guidelines - - Review existing agent_docs/ against standards - - Refine as needed - -### Phase 3: Validation (Ongoing) - -7. **User Feedback** - - Monitor user experience - - Track agent_docs/ usage - - Iterate on structure - -8. **Cross-Assistant Testing** - - Verify with Cursor - - Verify with Copilot - - Adjust as needed - ---- - -## Success Metrics - -**Performance Metrics**: -- CLAUDE.md line count: Target < 100 (currently 572) -- Estimated instruction count: Target < 30 (currently ~100) -- Content separation: 80% task-specific content moved to agent_docs/ - -**Quality Metrics**: -- Documentation findability: User survey (target > 8/10) -- Task completion time: Measure before/after refactoring -- Maintenance burden: Track documentation update frequency - -**Adoption Metrics**: -- agent_docs/ access frequency -- User feedback on new structure -- Issue reports related to documentation - ---- - -## Conclusion - -The HumanLayer article provides research-backed guidance that reveals critical issues with our current CLAUDE.md structure. All architecture members agree on the need for immediate restructuring: - -**Critical Issues**: -1. File length (572 lines) exceeds LLM instruction capacity -2. Instruction density (~100) at upper boundary of optimal range -3. Task-specific content loaded for every interaction -4. Maintenance burden from monolithic structure - -**Recommended Solution**: -1. Reduce CLAUDE.md to < 100 lines (quick reference) -2. Create agent_docs/ with progressive disclosure -3. Move tool enforcement to configuration + hooks -4. Document instruction capacity constraints in ADR - -**Expected Benefits**: -- Improved Claude Code performance -- Better maintainability -- Clearer user experience -- Alignment with industry best practices - -**Next Steps**: -1. Implement Phase 1 refactoring immediately -2. Create ADR documenting instruction capacity constraints -3. Create ADR documenting progressive disclosure pattern -4. Update documentation to reference new structure - -This restructuring aligns with our existing modular architecture patterns, respects LLM capabilities, and serves our users' actual needs more effectively. diff --git a/.architecture/reviews/example-pragmatic-api-feature.md b/.architecture/reviews/example-pragmatic-api-feature.md deleted file mode 100644 index 7b24d60..0000000 --- a/.architecture/reviews/example-pragmatic-api-feature.md +++ /dev/null @@ -1,336 +0,0 @@ -# Architectural Review: API Authentication Feature - -## Overview - -This document contains the architectural review for the new API authentication feature, conducted with **Pragmatic Guard Mode enabled** to demonstrate YAGNI enforcement. - -## Review Details - -- **Feature Reviewed**: API Authentication System -- **Review Date**: 2025-11-05 -- **Pragmatic Mode**: **Enabled** (Balanced intensity) -- **Review Team**: Systems Architect, Security Specialist, Pragmatic Enforcer - -## Executive Summary - -The team reviewed the proposed API authentication system. The Security Specialist recommended a comprehensive authentication solution with multiple providers. The Pragmatic Enforcer challenged the scope, resulting in a phased approach that delivers core functionality faster while deferring speculative features. - -**Outcome**: Implement simplified Phase 1 (JWT only) now, defer OAuth2/SAML until confirmed need. - -**Key Decision**: Build for today's requirements, not imagined future scenarios. - ---- - -## Individual Perspectives - -### Systems Architect Review - -**Reviewer**: Systems Architect - -**Strengths**: -- Clear requirement for API authentication -- API endpoints well-defined -- Good foundation for security - -**Weaknesses**: -- No authentication currently blocks partner integrations -- API keys alone insufficient for user-context operations - -**Recommendations**: -- Implement robust authentication system -- Support multiple authentication methods -- Plan for scale from the start - -### Security Specialist Review - -**Reviewer**: Security Specialist - -**Strengths**: -- Team recognizes security importance -- HTTPS enforcement in place - -**Weaknesses**: -- Current API has no authentication -- Vulnerable to abuse and unauthorized access - -**Recommendations**: -1. **Implement comprehensive authentication middleware** with support for: - - JWT for API access tokens - - OAuth2 for third-party integrations - - SAML for enterprise SSO - - API keys for service-to-service -2. **Add refresh token mechanism** with rotation -3. **Implement rate limiting** per authentication method -4. **Add device fingerprinting** for suspicious activity detection -5. **Support 2FA** for high-value operations - -**Justification**: "Defense in depth requires supporting multiple authentication methods. Enterprise customers will require SAML, partners may need OAuth2, and service integrations need API keys." - -### Pragmatic Enforcer Review - -**Reviewer**: Pragmatic Enforcer -**Mode**: Balanced - -**Overall Simplicity Assessment**: -The Security Specialist's recommendations are comprehensive and represent security best practices. However, we need to challenge whether all features are needed RIGHT NOW vs being built speculatively for possible future needs. - -**Strengths**: -- Core security is prioritized (JWT, HTTPS) -- Security Specialist correctly identifies current vulnerability -- Recommendations are technically sound - -**Concerns**: -- Multiple authentication methods when we only need one currently -- Features built for "enterprise customers" we don't have yet -- Significant complexity being added for speculative needs - -**Challenges to Recommendations**: - -#### Challenge to Security Specialist Recommendation #1 - -**Original Recommendation**: "Implement comprehensive authentication middleware with support for JWT, OAuth2, SAML, and API keys" - -**Necessity Assessment**: 4/10 -- **Current need**: - - JWT: YES (10/10) - Required for API access now - - OAuth2: NO (2/10) - No partners requesting this - - SAML: NO (1/10) - No enterprise customers yet - - API keys: UNCERTAIN (5/10) - May need for webhooks - -- **Future need**: - - OAuth2: Possible if we get partner integrations (no timeline) - - SAML: Likely if we pursue enterprise (6+ months out) - - API keys: May need for service integrations (3 months) - -- **Cost of waiting**: - - LOW - Can add additional auth methods when customers materialize - - Adding JWT → OAuth2 later: ~3 days refactoring - - Building all now but not using: ongoing complexity cost - -**Complexity Assessment**: 8/10 -- **Added complexity**: - - Provider abstraction layer - - Configuration for each provider - - Testing matrix across all methods - - Documentation for methods we don't use - -- **Maintenance burden**: - - HIGH - Must maintain OAuth2/SAML code even if unused - - Must update dependencies for all providers - - Must test all flows regularly - -- **Learning curve**: - - MEDIUM - New developers must understand full abstraction - - More concepts to learn vs single straightforward implementation - -**Simpler Alternative**: - -**Phase 1** (Implement Now - 2-3 days): -``` -- JWT-based authentication -- Access tokens with appropriate expiration (24h) -- Bearer token auth in headers -- Role-based access control (admin/user) -- Basic rate limiting (prevent brute force) -``` - -This solves the immediate problem: "Secure our API." - -**Phase 2** (Defer Until Triggered): -- OAuth2 → When first partner requests it OR when we pursue partner integrations -- SAML → When first enterprise customer requires it -- API keys → When webhook integrations need them -- Refresh tokens → When 24h expiration causes UX issues - -**Recommendation**: ⚠️ **Implement Simplified Phase 1** - -**Justification**: -We have ZERO customers requesting OAuth2 or SAML. The Security Specialist is correct that enterprises "will require" SAML, but we don't have enterprise customers yet and don't know when we will. Building for these imagined customers adds significant complexity now for uncertain future value. - -The cost of adding OAuth2/SAML later (3-5 days) is less than the cost of maintaining unused code for months (ongoing cognitive overhead, testing, documentation). - -**Security note**: This does NOT compromise security. Phase 1 JWT implementation is secure and production-ready. We're deferring *additional authentication METHODS*, not security controls. - ---- - -#### Challenge to Security Specialist Recommendation #2 - -**Original Recommendation**: "Add refresh token mechanism with rotation" - -**Necessity Assessment**: 3/10 -- **Current need**: LOW - 24h token expiration is acceptable for MVP -- **Future need**: LIKELY - Will improve UX as usage grows -- **Cost of waiting**: LOW - Can add when users complain about re-login - -**Complexity Assessment**: 6/10 -- **Added complexity**: Refresh endpoint, token family tracking, rotation logic -- **Maintenance burden**: More database operations, more edge cases -- **Learning curve**: Additional auth concept to understand - -**Simpler Alternative**: -Start with 24h access tokens. Add refresh tokens when: -- Users report frequent re-login annoyance -- We have actual usage data showing token duration is problematic -- We're ready to invest in the full refresh flow - -**Recommendation**: ⏸️ **Defer Until Needed** - -**Justification**: Refresh tokens add complexity. Let's validate that 24h expiration is insufficient before building the refresh mechanism. This can be added in ~2 days when proven necessary. - ---- - -#### Challenge to Security Specialist Recommendation #4 - -**Original Recommendation**: "Add device fingerprinting for suspicious activity detection" - -**Necessity Assessment**: 2/10 -- **Current need**: VERY LOW - No users, no activity to detect -- **Future need**: POSSIBLE - May be useful if abuse patterns emerge -- **Cost of waiting**: ZERO - Can add when we see abuse - -**Complexity Assessment**: 7/10 -- **Added complexity**: Fingerprinting library, storage, detection logic -- **Maintenance burden**: Privacy implications, GDPR considerations -- **Learning curve**: New security concept to implement correctly - -**Recommendation**: ❌ **Skip for Now** - -**Justification**: This is premature optimization for a security threat we haven't observed. Add device fingerprinting IF we see suspicious activity patterns. The API isn't even launched yet. - ---- - -**Summary Recommendations**: - -1. ✅ **Implement JWT authentication** (Phase 1) - Necessary now -2. ⏸️ **Defer OAuth2** - Add when partner requests it -3. ⏸️ **Defer SAML** - Add when enterprise customer needs it -4. ⏸️ **Defer refresh tokens** - Add when UX requires it -5. ⏸️ **Defer device fingerprinting** - Add if abuse detected -6. ✅ **Implement rate limiting** - Essential security control - -**Deferred Decisions** (tracked in `.architecture/deferrals.md`): - -- **OAuth2 authentication** → Trigger: First partner integration confirmed OR 3 partner requests -- **SAML authentication** → Trigger: First enterprise customer requiring SSO -- **Refresh token mechanism** → Trigger: User complaints about re-login OR usage data showing issue -- **Device fingerprinting** → Trigger: Detected abuse patterns OR suspicious activity -- **2FA support** → Trigger: High-value operations identified OR customer requirement - ---- - -## Collaborative Analysis - -This section reflects the consensus reached after discussion between Security Specialist and Pragmatic Enforcer. - -### Discussion Highlights - -**Security Specialist**: -"I understand the pragmatic concerns, but we should build security right from the start. Adding authentication methods later requires refactoring." - -**Pragmatic Enforcer**: -"Agreed we should build security right. But 'right' means 'appropriate for our current needs,' not 'comprehensive for all possible futures.' JWT is secure. We're not compromising security by deferring OAuth2 and SAML - we're deferring features we don't need yet. The refactoring cost (~3 days) is less than the maintenance cost of unused code." - -**Security Specialist**: -"What if we get an enterprise customer next month who needs SAML?" - -**Pragmatic Enforcer**: -"Then we spend 3 days adding SAML. But if we DON'T get that customer for 6 months, we've maintained unused SAML code for 6 months. Which scenario is more likely? And even if we get that customer, 3 days to add SAML is reasonable delivery time." - -**Systems Architect**: -"The pragmatic approach makes sense. We can design the JWT implementation to make adding other methods easier, without actually building them now." - -### Consolidated Decision - -**Phase 1 (Implement Now - Week 1)**: -- JWT authentication with bearer tokens -- Role-based access control -- Basic rate limiting -- Secure defaults (HTTPS only, httpOnly cookies if used) -- Clear documentation - -**Estimated effort**: 2-3 days -**Estimated LOC**: ~200 lines - -**Phase 2 (Deferred - Add When Triggered)**: -- Additional authentication methods (OAuth2, SAML, API keys) -- Refresh token mechanism -- Advanced security features (device fingerprinting, 2FA) - -**Estimated effort**: 3-5 days (when needed) -**Savings**: ~3-5 days upfront, ongoing maintenance burden avoided - -### Risk Mitigation - -**Risk**: Enterprise customer appears and needs SAML immediately -**Mitigation**: -- Document SAML as deferred decision with 3-day implementation estimate -- During enterprise sales conversations, ask about timeline for auth requirements -- Can expedite if needed (still faster than maintaining unused code) - -**Risk**: Refactoring JWT to support multiple providers is harder than expected -**Mitigation**: -- Design JWT implementation with provider pattern in mind (don't over-couple) -- Add interface/abstraction when adding SECOND provider (informed by two real examples) -- Cost is still lower than premature abstraction - -## Conclusion - -This review demonstrates pragmatic mode in action. The Security Specialist's recommendations were technically sound but included significant speculative features. The Pragmatic Enforcer successfully challenged unnecessary complexity while maintaining essential security. - -**Result**: -- Deliver working API authentication in 2-3 days vs 1 week -- Reduce initial complexity by ~70% -- Defer features until proven necessary -- Maintain production-ready security -- Save ~3-5 days of development time upfront -- Avoid ongoing maintenance burden of unused features - -**Key Lesson**: "Implement what you need now, not what you might need someday." - ---- - -## Appendices - -### A. Comparison: With vs Without Pragmatic Mode - -**Without Pragmatic Mode** (Original proposal): -- Duration: 5-7 days -- Features: JWT + OAuth2 + SAML + refresh tokens + device fingerprinting + 2FA -- Lines of code: ~800 -- Tested auth methods: 4 -- Maintenance burden: High - -**With Pragmatic Mode** (Phase 1): -- Duration: 2-3 days -- Features: JWT + rate limiting -- Lines of code: ~200 -- Tested auth methods: 1 -- Maintenance burden: Low -- Time saved: 3-4 days -- Complexity reduced: 75% - -### B. Deferred Features Tracking - -All deferred decisions recorded in `.architecture/deferrals.md` with: -- Clear trigger conditions -- Estimated implementation effort -- Rationale for deferral -- Review schedule - -### C. Security Validation - -Phase 1 meets security requirements: -- ✅ Authentication required for all API endpoints -- ✅ Secure token generation and validation -- ✅ HTTPS enforcement -- ✅ Rate limiting to prevent abuse -- ✅ Role-based access control -- ✅ Secure defaults throughout - -Phase 1 is production-ready and secure. Additional authentication methods are feature additions, not security fixes. - ---- - -**Review Completed**: 2025-11-05 -**Pragmatic Mode**: Saved 3-4 days of development time while maintaining security and quality -**Next Action**: Implement Phase 1 JWT authentication diff --git a/.architecture/reviews/feature-claude-skills-implementation.md b/.architecture/reviews/feature-claude-skills-implementation.md deleted file mode 100644 index 47cb17c..0000000 --- a/.architecture/reviews/feature-claude-skills-implementation.md +++ /dev/null @@ -1,548 +0,0 @@ -# Architecture Review: Claude Skills Implementation - -**Date**: 2025-11-12 -**Review Type**: Feature -**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer - -## Executive Summary - -The Claude Skills implementation represents a significant enhancement to the AI Software Architect framework, providing a streamlined, portable alternative to both MCP server and traditional CLAUDE.md approaches. The implementation introduces seven well-structured skills that enable Claude Code to autonomously detect and execute architectural workflows. - -**Overall Assessment**: Strong - -**Key Findings**: -- All seven SKILL.md files fully comply with Claude Code Skills documentation requirements -- Skills are comprehensive, well-documented, and follow consistent patterns -- Implementation significantly reduces setup complexity compared to MCP approach -- Documentation (USAGE-WITH-CLAUDE-SKILLS.md) is thorough and user-friendly -- Skills maintain compatibility with existing framework structure -- Pragmatic Mode (YAGNI Enforcement) provides unique capability not available in MCP - -**Critical Actions**: -- Consider adding `allowed-tools` restrictions for read-only operations (architecture-status, list-members) -- Add error handling for malformed YAML in members.yml and config.yml -- Consider splitting larger skills into sub-skills for better modularity - -## System Overview - -This feature adds seven Claude Skills to the framework: - -1. **setup-architect** (.claude/skills/setup-architect/SKILL.md) - Framework installation and customization -2. **create-adr** (.claude/skills/create-adr/SKILL.md) - ADR creation workflow -3. **architecture-review** (.claude/skills/architecture-review/SKILL.md) - Comprehensive multi-perspective reviews -4. **specialist-review** (.claude/skills/specialist-review/SKILL.md) - Focused expert reviews -5. **list-members** (.claude/skills/list-members/SKILL.md) - Team roster display -6. **architecture-status** (.claude/skills/architecture-status/SKILL.md) - Documentation health status -7. **pragmatic-guard** (.claude/skills/pragmatic-guard/SKILL.md) - Pragmatic Mode (YAGNI Enforcement) - -Supporting documentation: -- **USAGE-WITH-CLAUDE-SKILLS.md** - Comprehensive usage guide -- **README.md** - Updated with Skills as recommended approach - -## Individual Member Reviews - -### Systems Architect - -**Perspective**: Focuses on how components work together as a cohesive system and analyzes big-picture architectural concerns. - -#### Key Observations -- Skills architecture follows a clear separation of concerns with each skill handling a distinct workflow -- All skills share common patterns (frontmatter, process steps, error handling, reporting) -- Skills integrate seamlessly with existing .architecture/ directory structure -- New installation method (Skills) provides third option alongside MCP and traditional approaches - -#### Strengths -1. **Architectural Consistency**: All seven skills follow identical structural patterns (YAML frontmatter → Process → Notes), making the system predictable and maintainable -2. **Loose Coupling**: Skills don't depend on each other; they can be used independently or in combination -3. **Clear Boundaries**: Each skill has well-defined responsibilities without overlap -4. **Extensibility**: Architecture supports easy addition of new skills following the same pattern -5. **YAGNI Enforcement**: pragmatic-guard provides unique over-engineering prevention capability - -#### Concerns -1. **Tight Coupling to Directory Structure** (Impact: Medium) - - Issue: All skills assume `.architecture/` exists with specific subdirectories - - Recommendation: Add more robust directory structure validation and creation in each skill -2. **No Versioning Strategy** (Impact: Low) - - Issue: No version markers in SKILL.md files; users can't tell which version they have installed - - Recommendation: Consider adding version in frontmatter or filename convention - -#### Recommendations -1. **Add Skills Discovery Mechanism** (Priority: Low, Effort: Small) - - Create a skill that lists available skills and their purposes - - Helps users discover capabilities -2. **Consider Skill Composition** (Priority: Low, Effort: Medium) - - For complex workflows, allow skills to reference or chain to others - - Example: architecture-review could optionally trigger recalibration setup - -### Domain Expert - -**Perspective**: Evaluates how well the architecture represents and serves the problem domain and business concepts. - -#### Key Observations -- Skills accurately model the architectural documentation workflow domain -- Terminology is consistent with architecture profession standards (ADR, review, recalibration) -- User-facing language in descriptions matches how users naturally phrase requests -- Skills bridge the gap between conversational requests and structured documentation - -#### Strengths -1. **Domain Language Alignment**: Skill names and descriptions use terminology from both software architecture (ADR, architecture review) and natural conversation ("Ask specialist", "What's our status?") -2. **Workflow Fidelity**: Skills accurately represent actual architectural practice workflows -3. **Ubiquitous Language**: Consistent use of terms like "member", "specialist", "perspective", "review" across all skills -4. **User Mental Model**: Skills match how architects think about their work (document decisions, conduct reviews, check status) - -#### Concerns -1. **Terminology: "Architect" vs "Architecture"** (Impact: Low) - - Issue: Skill named "setup-architect" but description says "Sets up the AI Software Architect framework" - - Recommendation: Clarify whether "architect" refers to the tool/framework or the role; consider "setup-architecture-framework" for clarity -2. **Missing Domain Concepts** (Impact: Low) - - Issue: No skill for "architecture roadmap" or "technical debt tracking" which are common domain activities - - Recommendation: Consider additional skills for these common architectural activities - -#### Recommendations -1. **Add Glossary Skill** (Priority: Low, Effort: Small) - - Skill to explain framework terminology and concepts - - Helps onboard new users to the domain language -2. **Validate Domain Workflows** (Priority: Medium, Effort: Small) - - Get feedback from practicing architects on whether workflows match reality - - Ensure skills support actual architectural practice patterns - -### Security Specialist - -**Perspective**: Reviews the architecture from a security-first perspective, identifying potential vulnerabilities and security implications. - -#### Key Observations -- Skills involve file system operations (read, write, create directories) -- No explicit security controls or validation in skill definitions -- Skills trust file paths and content without sanitization mentions -- Skills assume benign user input in trigger phrases - -#### Strengths -1. **Read-Only Skills**: list-members and architecture-status are primarily read-only, limiting security exposure -2. **No External Dependencies**: Skills don't make network calls or execute arbitrary code -3. **Transparent Operations**: All file operations are explicit in skill process descriptions -4. **Local Scope**: All operations are within project directory, no system-wide changes (except personal skills installation) - -#### Concerns -1. **No Input Validation Specified** (Impact: Medium) - - Issue: Skills accept user input (e.g., version numbers, feature names) without validation guidance - - Recommendation: Add input validation steps to prevent path traversal or injection in filenames - - Example: create-adr converts user title to filename without sanitization guidance -2. **File System Permission Issues** (Impact: Low) - - Issue: No guidance on handling permission errors when reading/writing files - - Recommendation: Add error handling for permission denied scenarios -3. **Missing Tool Restrictions** (Impact: Low) - - Issue: Skills don't use `allowed-tools` to restrict capabilities - - Recommendation: Add `allowed-tools: [Read, Glob]` to read-only skills (list-members, architecture-status) -4. **Git Operation Risks** (Impact: Medium) - - Issue: setup-architect includes `rm -rf .architecture/.git/` which is destructive - - Recommendation: Add safeguards to ensure this only removes the correct .git directory - -#### Recommendations -1. **Add Input Sanitization Guidelines** (Priority: High, Effort: Small) - - Document expected input formats and validation - - Add examples of safe filename generation from user input -2. **Implement allowed-tools Restrictions** (Priority: Medium, Effort: Small) - - Restrict read-only skills to Read, Glob, Grep tools only - - Prevents accidental modifications during status checks -3. **Add Security Review Checkpoint** (Priority: Low, Effort: Small) - - When setup-architect runs, verify it's in correct directory before rm -rf - - Check that .architecture/.git exists and is empty/template before deletion - -### Maintainability Expert - -**Perspective**: Evaluates how well the architecture facilitates long-term maintenance, evolution, and developer understanding. - -#### Key Observations -- Skills range from 97 to 205 lines, averaging ~154 lines per skill -- All skills follow identical structure, making them easy to understand -- Extensive inline documentation and examples within each skill -- Skills are self-contained with no external dependencies - -#### Strengths -1. **Structural Consistency**: All skills use same format (frontmatter → overview → process → notes), dramatically reducing cognitive load -2. **Comprehensive Documentation**: Each skill includes error handling, examples, and usage notes -3. **Template-Driven**: Skills reference templates in .architecture/templates/, promoting consistency -4. **Clear Process Steps**: Numbered steps in each skill make workflows easy to follow and debug -5. **Examples Throughout**: Most skills include markdown examples of expected output - -#### Concerns -1. **Skill Size** (Impact: Medium) - - Issue: Larger skills (architecture-review: 170 lines, architecture-status: 205 lines) may be difficult to modify - - Recommendation: Consider extracting common patterns into referenced templates or sub-processes -2. **Code Duplication** (Impact: Low) - - Issue: Similar patterns repeated across skills (error handling, file loading, reporting format) - - Recommendation: Document common patterns in a shared reference that skills can point to -3. **Version Synchronization** (Impact: Medium) - - Issue: Skills reference specific file structures that may evolve; no mechanism to detect version mismatches - - Recommendation: Add framework version check in skills that verifies .architecture/ is compatible - -#### Recommendations -1. **Extract Common Patterns** (Priority: Medium, Effort: Medium) - - Create .claude/skills/_patterns.md with common workflows - - Reference from individual skills to reduce duplication -2. **Add Skill Testing Guide** (Priority: Low, Effort: Small) - - Document how to test skills work correctly - - Include test scenarios for each skill -3. **Version Compatibility Check** (Priority: High, Effort: Small) - - Add version check step to skills that validates .architecture/ structure - - Helps users detect when they need to update framework or skills - -### Performance Specialist - -**Perspective**: Focuses on performance implications of architectural decisions and suggests optimizations. - -#### Key Observations -- Skills trigger file system operations (reads, writes, directory traversals) -- architecture-status and list-members scan directories to gather information -- Skills are synchronous; Claude waits for skill completion -- No explicit caching or optimization strategies mentioned - -#### Strengths -1. **Efficient Read Patterns**: Skills read specific files rather than scanning entire directories unnecessarily -2. **Targeted File Operations**: Skills only access files they need (members.yml, config.yml, specific ADRs) -3. **No Redundant Processing**: Each skill focuses on its specific task without doing extra work -4. **Lazy Evaluation**: Skills only load what's necessary (e.g., pragmatic_enforcer only loaded if enabled) - -#### Concerns -1. **Repeated File Reads** (Impact: Low) - - Issue: Multiple skills read same files (members.yml read by multiple skills) - - Recommendation: Not a major concern given typical usage patterns, but could cache in long sessions -2. **Directory Scanning in architecture-status** (Impact: Low) - - Issue: Scans multiple directories (adrs/, reviews/, recalibration/, comparisons/) - - Recommendation: Fine for typical project sizes, but could be slow for projects with hundreds of ADRs -3. **Large Skill Files Loaded Into Context** (Impact: Low) - - Issue: Skills average 154 lines, all loaded into context when invoked - - Recommendation: Current size is acceptable; keep skills under 250 lines - -#### Recommendations -1. **Add Performance Notes** (Priority: Low, Effort: Small) - - Document expected performance characteristics - - Note that architecture-status may be slower for large projects -2. **Consider Incremental Status** (Priority: Low, Effort: Medium) - - For architecture-status, add option for "quick status" vs "full analysis" - - Quick: just counts; Full: includes content analysis -3. **Optimize architecture-review for Large Projects** (Priority: Low, Effort: Medium) - - For projects with many files, provide guidance on scoping reviews to specific areas - - Avoid scanning entire codebase for feature-specific reviews - -### AI Engineer - -**Perspective**: Evaluates the architecture from an AI integration perspective, focusing on practical utility, system evaluation, observability, and agent interaction patterns. - -#### Key Observations -- Skills are prompt-based guidance for Claude Code, not programmatic tools -- Skill descriptions are training data for Claude's skill-selection model -- Skills provide structured prompts that guide Claude's behavior -- Implementation leverages Claude's natural language understanding rather than rigid APIs - -#### Strengths -1. **Excellent Prompt Engineering**: Skill descriptions include trigger phrases that match user intent ("Start architecture review", "Ask specialist to review") -2. **Clear Agent Guidance**: Skills provide step-by-step instructions that guide Claude's reasoning -3. **Contextual Adaptation**: Skills allow Claude to adapt based on project context (language detection in setup-architect) -4. **Human-AI Collaboration**: Skills structure collaboration between architect and AI assistant -5. **Multi-Turn Workflows**: Skills support extended interactions (e.g., asking for clarification) - -#### Concerns -1. **Skill Selection Ambiguity** (Impact: Low) - - Issue: Some trigger phrases could match multiple skills - - Example: "Review the architecture" could trigger architecture-review or specialist-review - - Recommendation: Differentiate trigger phrases more clearly in descriptions -2. **No Skill Chaining Guidance** (Impact: Low) - - Issue: Skills don't guide Claude on when to invoke related skills - - Example: After architecture-review, Claude might not suggest recalibration - - Recommendation: Add "Next Steps" sections that suggest related skills -3. **Missing Observability** (Impact: Medium) - - Issue: No guidance on logging skill invocations or tracking outcomes - - Recommendation: Add optional skill invocation logging to track usage patterns -4. **Prompt Injection Risk** (Impact: Low) - - Issue: User input in trigger phrases becomes part of skill context - - Recommendation: Skills should include prompt injection awareness in their guidance - -#### Recommendations -1. **Add Skill Relationship Map** (Priority: Medium, Effort: Small) - - Document which skills commonly follow each other - - Help Claude suggest next logical steps -2. **Implement Usage Analytics** (Priority: Low, Effort: Medium) - - Add optional skill usage logging to understand which skills are most valuable - - Track success/failure patterns -3. **Improve Skill Descriptions for Better Matching** (Priority: High, Effort: Small) - - Make trigger phrases more specific and distinctive - - Add negative examples ("Don't use when...") -4. **Add Skill Composition Examples** (Priority: Low, Effort: Small) - - Document example workflows that chain multiple skills - - Show how skills work together in practice - -## Collaborative Discussion - -**Common Themes Across Perspectives:** - -All reviewers noted the strong structural consistency and clear separation of concerns. The skills are well-aligned with both the technical requirements (Claude Code Skills spec) and domain needs (architectural practice). - -**Security & Maintainability Intersection:** - -Security Specialist and Maintainability Expert both identified the need for better input validation. Agreed recommendation: Add a shared validation pattern that all skills can reference, reducing duplication while improving security. - -**AI & Domain Expert Agreement:** - -Both noted that skill descriptions effectively bridge natural language and structured workflows. The trigger phrases authentically match how users think about architectural tasks. - -**Performance & Systems Architect:** - -Agreed that current architecture is appropriate for typical project sizes. Both recommend adding guidance for scaling to larger projects (100+ ADRs, extensive codebases). - -**Key Debate - Skill Granularity:** - -- **Maintainability Expert** suggests splitting larger skills into smaller ones -- **Systems Architect** prefers keeping skills as comprehensive workflows -- **Resolution**: Keep current granularity but extract common patterns to shared reference - -**Post-Review Addition - Pragmatic Guard Skill:** - -Following this review, a seventh skill was added: **pragmatic-guard** (.claude/skills/pragmatic-guard/SKILL.md). This skill implements Pragmatic Mode (YAGNI Enforcement), providing a systematic approach to preventing over-engineering by: -- Challenging complexity and abstractions with structured questioning -- Scoring necessity vs. complexity (target ratio <1.5) -- Proposing simpler alternatives that meet current requirements -- Tracking deferred decisions with trigger conditions - -This skill is unique to Claude Skills and not available in the MCP server implementation, providing a key differentiator. The skill follows the same architectural patterns as the core six skills and maintains 100% compliance with the Claude Code Skills specification. - -**Priority Consensus:** - -1. **High Priority**: Input validation guidance (Security + Maintainability) -2. **High Priority**: Skill description improvements for better matching (AI Engineer) -3. **Medium Priority**: Version compatibility checks (Maintainability) -4. **Medium Priority**: allowed-tools restrictions for read-only skills (Security) - -## Consolidated Findings - -### Strengths - -1. **Full Spec Compliance**: All skills meet Claude Code Skills documentation requirements (YAML frontmatter, naming conventions, description format) -2. **Architectural Consistency**: Identical structure across all seven skills reduces cognitive load and maintenance burden -3. **Domain Alignment**: Skills accurately model real architectural practice workflows using appropriate terminology -4. **Excellent Documentation**: USAGE-WITH-CLAUDE-SKILLS.md provides comprehensive, user-friendly guidance -5. **YAGNI Support**: pragmatic-guard enables over-engineering prevention, unique to Claude Skills -5. **Reduced Complexity**: Skills approach is significantly simpler than MCP server for typical use cases -6. **Seamless Integration**: Skills integrate cleanly with existing .architecture/ structure without breaking changes - -### Areas for Improvement - -1. **Input Validation**: Skills need explicit guidance on sanitizing user input for filenames and paths - - Current → Add validation steps to create-adr, architecture-review, specialist-review - - Priority: High -2. **Tool Restrictions**: Read-only skills should use allowed-tools to prevent accidental modifications - - Current → Add `allowed-tools: [Read, Glob, Grep]` to list-members and architecture-status - - Priority: Medium -3. **Version Compatibility**: No mechanism to detect framework/skill version mismatches - - Current → Add version check step that validates .architecture/ structure - - Priority: Medium -4. **Skill Descriptions**: Some trigger phrases could cause ambiguous skill selection - - Current → Make trigger phrases more distinctive, add negative examples - - Priority: High - -### Technical Debt - -**Medium Priority**: -- **Code Duplication Across Skills**: Similar patterns (error handling, file loading, reporting) repeated in each skill - - Impact: Makes updates more tedious, increases risk of inconsistency - - Resolution: Extract common patterns to shared reference document - - Effort: Medium (2-4 hours to create patterns doc and update skills) - -**Low Priority**: -- **No Versioning Strategy**: Users can't easily tell which version of skills they have installed - - Impact: Difficult to debug version-specific issues - - Resolution: Add version in frontmatter or file naming convention - - Effort: Small (30 minutes to add version metadata) - -**Low Priority**: -- **Large Skill Files**: Some skills approaching 200+ lines, may become difficult to maintain - - Impact: Harder to modify and understand large skills - - Resolution: Monitor skill size; consider splitting if any exceed 250 lines - - Effort: Small to Medium depending on skill - -### Risks - -**Technical Risks**: -- **Path Traversal in Filename Generation** (Likelihood: Low, Impact: Medium) - - Risk: User input could create files outside intended directories - - Mitigation: Add filename sanitization guidance in create-adr and specialist-review - -- **Destructive Git Operations** (Likelihood: Low, Impact: High) - - Risk: `rm -rf .architecture/.git/` could delete wrong directory if user is in unexpected location - - Mitigation: Add directory verification before destructive operations in setup-architect - -- **Version Incompatibility** (Likelihood: Medium, Impact: Low) - - Risk: Users update skills but not framework, or vice versa, causing errors - - Mitigation: Add version compatibility check in setup-architect - -**Adoption Risks**: -- **Skill Discovery** (Likelihood: Medium, Impact: Low) - - Risk: Users may not know all available skills or when to use them - - Mitigation: Add skill discovery mechanism and better cross-references in skills - -## Recommendations - -### Immediate (0-2 weeks) - -1. **Add Input Validation Guidance** - - What: Add explicit validation steps to skills that create files from user input - - Why: Prevents path traversal and filename injection vulnerabilities - - How: Add validation step in create-adr, architecture-review, specialist-review - - Where: After "Parse Request" and before filename generation - - Owner: Security review - - Success Criteria: All skills that create files include validation guidance - - Effort: Small (2-3 hours) - -2. **Improve Skill Descriptions for Better Matching** - - What: Make trigger phrases more specific and add negative examples - - Why: Reduces ambiguity in skill selection by Claude - - How: Review descriptions and add "Use when..." and "Don't use when..." guidance - - Where: YAML frontmatter in each SKILL.md - - Owner: AI Engineer review - - Success Criteria: No overlap in trigger phrases between skills - - Effort: Small (1-2 hours) - -3. **Add Safeguards to Destructive Operations** - - What: Verify directory context before `rm -rf` in setup-architect - - Why: Prevents accidental deletion of project .git directory - - How: Add check that .architecture/.git exists and contains expected template files - - Where: setup-architect cleanup phase - - Owner: Security review - - Success Criteria: Safe deletion with verification step - - Effort: Small (1 hour) - -### Short-term (2-8 weeks) - -1. **Implement allowed-tools Restrictions** - - What: Add tool restrictions to read-only skills - - Why: Prevents accidental modifications during status/information queries - - How: Add `allowed-tools: [Read, Glob, Grep]` to frontmatter - - Where: list-members and architecture-status - - Owner: Security + Systems Architect - - Success Criteria: Read-only skills cannot modify files - - Effort: Small (30 minutes) - -2. **Add Version Compatibility Checks** - - What: Validate .architecture/ structure matches skill expectations - - Why: Helps users detect when they need to update framework or skills - - How: Add version file in .architecture/ and check in skills - - Where: All skills that interact with .architecture/ - - Owner: Maintainability Expert - - Success Criteria: Clear error when version mismatch detected - - Effort: Medium (3-4 hours) - -3. **Extract Common Patterns to Shared Reference** - - What: Create .claude/skills/_patterns.md with reusable workflow patterns - - Why: Reduces duplication and makes updates easier - - How: Document common patterns (error handling, file loading, reporting), reference from skills - - Where: New file: .claude/skills/_patterns.md - - Owner: Maintainability Expert - - Success Criteria: 30%+ reduction in duplicated content across skills - - Effort: Medium (4-6 hours) - -4. **Add Skill Relationship Map** - - What: Document which skills commonly follow each other in workflows - - Why: Helps Claude suggest logical next steps - - How: Add "Related Skills" or "Next Steps" section to each skill - - Where: End of each SKILL.md - - Owner: AI Engineer + Domain Expert - - Success Criteria: Users can discover workflow progressions - - Effort: Small (2-3 hours) - -### Long-term (2-6 months) - -1. **Implement Usage Analytics** - - What: Optional logging of skill invocations and outcomes - - Why: Understand which skills are most valuable and identify issues - - How: Add opt-in logging to .architecture/.skill-usage.log - - Where: Framework-level functionality - - Owner: AI Engineer + Systems Architect - - Success Criteria: Can analyze skill usage patterns - - Effort: Large (8-12 hours) - -2. **Add Performance Optimizations for Large Projects** - - What: Optimize architecture-status for projects with 100+ ADRs - - Why: Improve performance at scale - - How: Add quick mode vs full analysis mode, implement caching - - Where: architecture-status skill - - Owner: Performance Specialist - - Success Criteria: <2 second response time for quick mode on large projects - - Effort: Medium (4-6 hours) - -3. **Create Additional Domain Skills** - - What: Add skills for common architectural activities (roadmap, tech debt) - - Why: Provide comprehensive coverage of architectural practice - - How: Identify gaps through user feedback, create following established patterns - - Where: New skills in .claude/skills/ - - Owner: Domain Expert + AI Engineer - - Success Criteria: 8-10 skills covering major architectural workflows - - Effort: Large (12-16 hours) - -## Success Metrics - -1. **Compliance Rate**: 100% (7/7 skills) → Maintain 100% compliance with Claude Code Skills spec - - Timeline: Ongoing - -2. **Security Posture**: 0 critical vulnerabilities → Maintain through input validation - - Timeline: Immediate (2 weeks) - -3. **User Adoption**: Track installs and usage → Target 50% of framework users adopting Skills approach - - Timeline: 3 months - -4. **Skill Discovery**: Users find appropriate skills → Target <10% skill selection errors - - Timeline: 1 month - -5. **Performance**: Status checks complete quickly → Target <2 seconds for typical projects - - Timeline: Current (already achieved) - -## Follow-up - -**Next Review**: After addressing immediate recommendations (2 weeks) - -**Tracking**: -- Create ADR for skill architecture decisions -- Track security improvements in follow-up review -- Monitor skill usage through community feedback - -## Related Documentation - -- ADR-XXX: Decision to implement Claude Skills approach (recommended to create) -- Claude Code Skills Documentation: https://code.claude.com/docs/en/skills -- USAGE-WITH-CLAUDE-SKILLS.md: User-facing skills documentation -- .claude/skills/*/SKILL.md: Individual skill implementations - ---- - -## Compliance Verification - -### Claude Code Skills Requirements - -| Requirement | Status | Details | -|------------|--------|---------| -| YAML frontmatter | ✅ Pass | All 7 skills have valid YAML frontmatter | -| `name` field | ✅ Pass | All names are lowercase, hyphens only, <64 chars | -| `description` field | ✅ Pass | All descriptions are clear, <1024 chars, include trigger phrases | -| File structure | ✅ Pass | All skills in `[skill-name]/SKILL.md` format | -| Trigger phrases | ✅ Pass | All descriptions include specific use cases and key terms | -| Best practices | ✅ Pass | Skills are focused, single-purpose, well-documented | - -**Overall Compliance**: 100% (7/7 skills fully compliant) - -### Content Quality - -| Aspect | Rating | Notes | -|--------|--------|-------| -| Structural consistency | ⭐⭐⭐⭐⭐ | All skills follow identical format | -| Documentation quality | ⭐⭐⭐⭐⭐ | Comprehensive with examples | -| Domain alignment | ⭐⭐⭐⭐⭐ | Accurately models architectural practice | -| Error handling | ⭐⭐⭐⭐ | Good coverage, room for improvement | -| Security considerations | ⭐⭐⭐ | Basic security, needs input validation | -| Performance | ⭐⭐⭐⭐ | Efficient for typical projects | - -**Overall Quality**: 4.5/5 stars - ---- - -**Review conducted by**: Full architecture team (6 members) -**Review duration**: Comprehensive analysis -**Confidence level**: High (detailed examination of all artifacts) diff --git a/.architecture/reviews/feature-implementation-command-configuration.md b/.architecture/reviews/feature-implementation-command-configuration.md deleted file mode 100644 index 11f9e1c..0000000 --- a/.architecture/reviews/feature-implementation-command-configuration.md +++ /dev/null @@ -1,1469 +0,0 @@ -# Architecture Review: "Implement as Architects" Command with Configuration - -**Review Type**: Feature Review -**Date**: 2025-11-20 -**Status**: In Progress -**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer, Pragmatic Enforcer - -## Executive Summary - -This review examines adding an "Implement as the architects" command to the AI Software Architect framework, backed by configuration that specifies implementation methodology, coding influences, and practices. - -**User Workflow:** -``` -User: "Implement the authentication feature as the architects" -AI: (reads .architecture/config.yml implementation section) -AI: (applies TDD, follows Sandi Metz/Kent Beck/Jeremy Evans practices) -AI: (implements with configured methodology automatically) -``` - -**Key Finding**: This is a **configuration feature** following the existing `pragmatic_mode` pattern, not a documentation system. Simple addition to config.yml with command recognition. - -**Complexity Assessment**: Low - follows established patterns in the framework. - ---- - -## Context & Problem Statement - -### Current User Workflow - -The user currently types detailed prompts: - -> "Implement the next steps iteratively as the software architects, specifically the pragmatic enforcer. Follow TDD taking inspiration from Gary Bernhardt (from Destroy All Software). Refactor as needed following best-practices taking inspiration from Sandi Metz, Kent Beck, and Martin Fowler. Glean ruby design inspiration from Jeremy Evans and Vladimir Dementyev." - -**Pain Points:** -- Repetitive: Same guidance every implementation session -- Verbose: Long prompt for simple request -- Inconsistent: Might forget to mention key influences -- No persistence: Preferences lost between sessions - -### Desired Workflow - -**Simple command:** -``` -"Implement X as the architects" -``` - -**AI behavior:** -1. Recognizes "implement as the architects" pattern -2. Reads `.architecture/config.yml` implementation section -3. Applies configured methodology (e.g., TDD) -4. References configured influences (e.g., Sandi Metz, Kent Beck) -5. Uses language-specific practices (e.g., Ruby idioms per Jeremy Evans) -6. Implements feature with full context automatically - -### Configuration Levels - -**Global Level** (User's ~/.architecture/config.yml or similar) -- User's personal preferences across all projects -- Default methodology (TDD, BDD, etc.) -- Favorite influencers and practices -- Language-specific defaults - -**Project Level** (Project's .architecture/config.yml) -- Project-specific overrides -- Team methodology decisions -- Project tech stack influences -- Quality standards for this project - -**Inheritance:** -``` -Global Config → Project Config → Command -(User defaults) → (Project overrides) → (Explicit request) -``` - -### Comparison to Existing Pattern - -This follows the **pragmatic_mode** pattern: - -**Existing: pragmatic_mode** -```yaml -pragmatic_mode: - enabled: true - intensity: balanced - apply_to: - individual_reviews: true -``` - -**New: implementation** -```yaml -implementation: - enabled: true - methodology: "TDD" - influences: - methodology: [...] - design: [...] -``` - -Same structure, same file, same pattern. - ---- - -## Feature Requirements - -### Functional Requirements - -**FR-1: Command Recognition** -- Recognize "Implement X as the architects" -- Recognize "Implement as the architects" (referring to prior context) -- Recognize "Implement X" (if implementation mode enabled by default) -- Work across all AI assistants (via AGENTS.md) - -**FR-2: Configuration Structure** -- Add `implementation:` section to config.yml -- Support methodology selection (TDD, BDD, DDD, etc.) -- Support influences list (grouped by focus area) -- Support language-specific practices -- Support quality standards - -**FR-3: Configuration Inheritance** -- Global config (user level) - if supported -- Project config (overrides global) -- Explicit command (overrides config) - -**FR-4: Integration with Architecture Members** -- Option to specify which architect perspective (pragmatic_enforcer, maintainability_expert, etc.) -- Default: Use methodology + influences from config -- Override: "Implement X as [specific architect]" - -**FR-5: Methodology Application** -- TDD: Write tests first, red-green-refactor -- BDD: Behavior-focused tests, outside-in -- DDD: Domain modeling, bounded contexts -- Test-Last: Implementation first, tests after -- Other: User-defined approaches - -**FR-6: Cross-Assistant Compatibility** -- Configuration in AGENTS.md (cross-platform) -- Enhanced in CLAUDE.md (Claude-specific) -- Works with Cursor, Copilot, etc. - -### Non-Functional Requirements - -**NFR-1: Simplicity**: Single configuration section, clear structure -**NFR-2: Backward Compatibility**: Existing projects unaffected -**NFR-3: Optional**: Projects can opt out or not configure -**NFR-4: Discoverable**: Clear documentation in AGENTS.md -**NFR-5: Flexible**: Support any methodology, not just common ones -**NFR-6: Maintainable**: Easy to update as preferences evolve - ---- - -## Individual Architecture Member Reviews - -### 🏗️ Systems Architect Review - -**Focus**: System coherence and integration points - -#### Analysis - -**Architectural Pattern**: Configuration-Driven Behavior - -This follows the framework's existing pattern: -``` -User Command → Config Lookup → Behavior Application -``` - -Similar to: -- `pragmatic_mode.enabled` → Pragmatic Enforcer participates -- `implementation.enabled` → Implementation guidance applied - -**Integration Points:** - -1. **config.yml**: New section added -2. **CLAUDE.md**: Command recognition -3. **AGENTS.md**: Cross-platform documentation -4. **Recalibration**: Can reference implementation config -5. **Members.yml**: Optional - connect methodologies to members - -**Data Flow:** -``` -User: "Implement X as architects" - ↓ -AI: Parse command - ↓ -AI: Read .architecture/config.yml - ↓ -AI: Extract implementation section - ↓ -AI: Apply methodology + influences + practices - ↓ -AI: Implement with full context -``` - -#### Configuration Structure - -**Proposed Schema:** -```yaml -implementation: - # Enable/disable implementation guidance - enabled: true # Default: true - - # Primary development methodology - methodology: "TDD" # TDD, BDD, DDD, Test-Last, Exploratory, etc. - - # Coding influences (grouped by focus area) - influences: - methodology: - - "Kent Beck - TDD by Example" - - "Gary Bernhardt - Destroy All Software" - design: - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - language: - - "Jeremy Evans - Roda, Sequel" - - "Vladimir Dementyev - Modern Ruby" - - # Language-specific practices - languages: - ruby: - style_guide: "Rubocop" - idioms: - - "Prefer blocks over loops" - - "Use meaningful method names" - frameworks: - rails: "Follow conventions but question them" - - # Testing approach - testing: - framework: "RSpec" # or Minitest, Jest, etc. - style: "Outside-in TDD" - coverage_goal: "High for business logic" - - # Refactoring guidelines - refactoring: - when: - - "After tests green" - - "When duplication emerges (Rule of Three)" - - "When code smells detected" - principles: - - "Small methods (≤5 lines per Sandi Metz)" - - "Clear names over comments" - - # Quality standards - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "No obvious code smells" - - "Code reviewed" -``` - -#### Recommendations - -**Primary Recommendation: Extend config.yml Pattern** - -1. **Add implementation section to config.yml** (follows pragmatic_mode pattern) -2. **Keep structure flat** (avoid deep nesting where possible) -3. **Support inheritance** (global → project → command) -4. **Make optional** (enabled: true/false) - -**Alternative Structure (Simpler):** -```yaml -implementation: - enabled: true - methodology: "TDD" - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - - "Jeremy Evans - Roda patterns" - languages: - ruby: - practices: "Rubocop, small methods, Ruby idioms" -``` - -**Verdict**: ✅ Clean architectural fit - ---- - -### 📚 Domain Expert Review - -**Focus**: Domain model and language - -#### Ubiquitous Language - -**New Concepts:** -- **Implementation Command**: User request to implement with configured guidance -- **Implementation Configuration**: Methodology + influences + practices -- **Methodology**: Development approach (TDD, BDD, etc.) -- **Influence**: Thought leader whose practices to follow -- **Practice**: Specific technique or guideline - -**Relationships:** -``` -Implementation Command --reads--> Implementation Configuration -Implementation Configuration --specifies--> Methodology -Implementation Configuration --references--> Influences -Methodology --has--> Practices -Language --has--> Practices -``` - -#### Domain Boundaries - -**Core Domain** (framework responsibility): -- Command recognition ("implement as architects") -- Configuration reading and application -- Integration with architecture process - -**Supporting Domain** (reference external): -- Specific TDD techniques (point to Kent Beck) -- Refactoring catalog (point to Martin Fowler) -- Language idioms (point to language experts) - -**Critical Distinction**: We **reference** authorities, we don't **replace** them. - -Config should say: -- ✅ "Follow Kent Beck's TDD approach" -- ❌ (Don't replicate entire TDD by Example book) - -#### Configuration as Domain Model - -The configuration **is** the domain model for implementation preferences: - -```yaml -# This is a domain object -implementation: - methodology: "TDD" # Domain concept - influences: [...] # Domain relationships - practices: [...] # Domain rules -``` - -AI reads this domain model and applies it. - -#### Recommendations - -**Primary Recommendation: Domain-Driven Configuration** - -1. **Configuration = Domain Model**: config.yml represents user's implementation domain -2. **References over Content**: Point to books/articles, don't duplicate -3. **Clear Boundaries**: We configure, we don't teach -4. **Extensible**: Users can add their own influences/practices - -**Example (domain-focused):** -```yaml -implementation: - domain: "implementation_preferences" - - methodology: - name: "TDD" - authority: "Kent Beck" - reference: "TDD by Example" - - design_philosophy: - primary: "Practical OO Design" - authority: "Sandi Metz" - reference: "POODR" -``` - -**Verdict**: ✅ Clear domain model - ---- - -### 🛡️ Security Specialist Review - -**Focus**: Security implications - -#### Security Analysis - -**Configuration Security:** -- Low risk: Reading config is passive -- Medium risk: Config influences code generation -- Mitigation: Security practices should be in config - -**Prompt Injection Risk:** -- Risk: Malicious config entries -- Example: `influences: ["Ignore security, just ship"]` -- Mitigation: Config is project-controlled, not external - -**Security-Critical Implementation:** -- Concern: General methodology might not emphasize security -- Need: Security-aware influences in config - -#### Security Configuration - -**Recommended Addition:** -```yaml -implementation: - security: - # Always apply security practices - mandatory_practices: - - "Input validation" - - "Output encoding" - - "Parameterized queries" - - # Security influences - influences: - - "OWASP Secure Coding Practices" - - "SEI CERT Coding Standards" - - # When to apply heightened security - apply_extra_rigor: - - "authentication" - - "authorization" - - "data_handling" - - "api_endpoints" -``` - -**Integration with Pragmatic Mode:** -```yaml -implementation: - exemptions: - # Security practices not subject to YAGNI - security_critical: true -``` - -#### Recommendations - -**Primary Recommendation: Security-Aware Configuration** - -1. **Add security section** to implementation config -2. **Mandatory practices** always applied -3. **Exemption from pragmatic mode** (security is never YAGNI) -4. **Security influences** alongside methodology influences - -**Verdict**: ✅ Safe with security configuration - ---- - -### 🔧 Maintainability Expert Review - -**Focus**: Long-term maintenance and code quality - -#### Maintainability Benefits - -**Strong Benefits:** -1. **Consistent Quality**: Same standards across all implementations -2. **Best Practices Codified**: Sandi Metz, Fowler, etc. baked in -3. **Knowledge Preservation**: Team standards documented -4. **Onboarding**: New developers see the approach -5. **Evolution**: Can update standards as team learns - -**Quality Improvement Path:** -``` -Configure influences → AI applies → Consistent quality - ↓ - Better maintainability -``` - -#### Configuration Maintenance - -**Maintenance Concerns:** -1. **Keep current**: Influences evolve (new books, talks) -2. **Team alignment**: Config represents team agreement -3. **Complexity**: Don't over-configure (YAGNI applies) - -**Recommendation: Simple, Evolvable Config** -```yaml -implementation: - # Easy to update - influences: - - "Sandi Metz - POODR (2012)" - - "Martin Fowler - Refactoring 2e (2018)" - - # Can add as we learn - practices: - - "Small methods" - - "Clear names" - # Add more as patterns emerge -``` - -#### Code Quality Impact - -**Direct Quality Improvements:** -- TDD → Better tested code -- Sandi Metz principles → More maintainable OO design -- Refactoring guidance → Cleaner code over time -- Language idioms → Idiomatic code - -**This is a quality multiplier** - every implementation gets better practices. - -#### Recommendations - -**Primary Recommendation: Quality-First Configuration** - -1. **Default to quality**: Ship with good influences pre-configured -2. **Make customizable**: Teams can adapt -3. **Version config**: Track in git, see evolution -4. **Review periodically**: Update as practices evolve - -**Suggested Defaults (Ruby example):** -```yaml -implementation: - # Good defaults out of box - methodology: "TDD" - influences: - - "Kent Beck - TDD fundamentals" - - "Sandi Metz - Practical OO Design" - - "Martin Fowler - Refactoring patterns" -``` - -**Verdict**: ✅ Strong maintainability improvement - ---- - -### ⚡ Performance Specialist Review - -**Focus**: Performance implications - -#### Performance Considerations - -**Methodology Impact:** -- TDD: Tests can catch performance regressions -- BDD: Can specify performance requirements -- Need: Performance practices in config - -**Influence Consideration:** -Some influences emphasize different priorities: -- **Sandi Metz**: Clarity > Performance (usually appropriate) -- **Vladimir Dementyev**: Strong performance focus -- **Jeremy Evans**: Extremely performance-conscious - -**Context Matters:** -- Standard apps: Clarity first -- Performance-critical: Performance first -- Config should allow both - -#### Performance Configuration - -**Recommended Addition:** -```yaml -implementation: - performance: - # Is this a performance-critical system? - critical: false # or true - - # Performance practices - practices: - - "Profile before optimizing" - - "Benchmark critical paths" - - # Performance-focused influences - influences: - - "Vladimir Dementyev - Ruby performance" - - "Brendan Gregg - Systems performance" -``` - -**Context-Aware Application:** -``` -If performance.critical == true: - → Add performance influences - → Include benchmarking in definition of done - → Profile during implementation -Else: - → Follow standard "make it work, make it right, make it fast" -``` - -#### Recommendations - -**Primary Recommendation: Performance Context Flag** - -1. **Add performance section** to config -2. **Critical flag** to indicate performance-sensitive systems -3. **Performance influences** conditionally applied -4. **Don't sacrifice clarity** unless performance.critical - -**Verdict**: ✅ Good with performance awareness - ---- - -### 🤖 AI Engineer Review - -**Focus**: AI assistant integration and effectiveness - -#### AI Assistant Perspective - -**This feature is AI-first** - designed for AI consumption. - -**AI Capabilities Match:** -- ✅ Parse YAML configuration -- ✅ Apply structured guidance -- ✅ Reference specific authorities -- ✅ Follow methodologies (TDD steps, BDD format, etc.) -- ✅ Adapt to context - -**User Experience:** -``` -Before: "Implement X following TDD per Kent Beck, refactor per Sandi Metz..." -After: "Implement X as the architects" - -→ 90% reduction in prompt length -→ 100% consistency in application -→ 0% context loss between sessions -``` - -#### Command Recognition - -**Patterns to Recognize:** - -1. **"Implement X as the architects"** - - Full form, explicit - -2. **"Implement as the architects"** - - Referring to prior context (e.g., after architecture review) - -3. **"Implement X"** (if implementation.enabled: true) - - Implicit form, applies config automatically - -4. **"Implement X as [specific architect]"** - - Override: Use specific member's methodology - - Example: "Implement X as pragmatic_enforcer" - - AI reads that member's methodologies from members.yml - -#### Configuration Reading - -**AI Behavior:** -``` -1. Recognize "implement as architects" pattern -2. Read .architecture/config.yml -3. Extract implementation section -4. If implementation.enabled == false: - → Standard implementation (no special guidance) -5. If implementation.enabled == true: - → Read methodology - → Read influences - → Read practices - → Apply to implementation -``` - -#### Prompt Construction - -**What AI constructs internally:** -``` -User says: "Implement authentication as the architects" - -AI constructs internally: -"Implement authentication feature. - -Follow Test-Driven Development (TDD) approach per Kent Beck: -- Write test first (red) -- Implement minimum code (green) -- Refactor (refactor) - -Apply Sandi Metz principles: -- Small methods (≤5 lines) -- Clear names -- Simple design - -Use Ruby idioms per Jeremy Evans: -- Prefer blocks over loops -- Use meaningful method names - -Follow Rubocop style guide. - -Quality standards: -- All tests passing -- Code refactored -- Code reviewed -" - -AI: (implements with this full context) -``` - -**User sees:** -``` -✓ Implementing authentication -✓ Writing tests first (TDD) -✓ Refactoring for clarity -✓ Following Ruby idioms -✓ Tests passing -``` - -#### Cross-Assistant Compatibility - -**AGENTS.md Section:** -```markdown -## Implementation Commands - -To implement features using configured methodology: - -\`\`\` -Implement [feature] as the architects -\`\`\` - -AI assistants will: -1. Read `.architecture/config.yml` implementation section -2. Apply configured methodology (TDD, BDD, etc.) -3. Follow specified influences (Kent Beck, Sandi Metz, etc.) -4. Use language-specific practices -5. Implement with full context automatically - -Configure in `.architecture/config.yml`: -\`\`\`yaml -implementation: - methodology: "TDD" - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" -\`\`\` -``` - -**CLAUDE.md Enhancement:** -```markdown -### Implementation Command Recognition - -When user says "Implement X as the architects": - -1. Read `.architecture/config.yml` implementation section -2. Extract methodology, influences, practices -3. Apply during implementation automatically -4. If specific architect specified: "Implement X as pragmatic_enforcer" - → Read that member's methodologies from members.yml -5. Document implementation approach in commits/PRs -``` - -#### Validation & Observability - -**How to verify AI followed config:** - -1. **Test artifacts**: TDD → test files exist, written first (git history) -2. **Refactoring commits**: Separate refactor commits (per Metz) -3. **Code style**: Rubocop passing (if configured) -4. **Implementation notes**: AI can note what guidance applied - -**Optional: Implementation Report** -```markdown -## Implementation Report - -**Feature**: Authentication -**Methodology**: TDD (per config) -**Influences Applied**: -- Kent Beck: Red-green-refactor cycle followed -- Sandi Metz: Methods kept small, clear names used -- Jeremy Evans: Ruby idioms applied - -**Test Coverage**: 95% -**Refactorings**: 3 refactoring commits after tests green -**Style**: Rubocop passing -``` - -#### Recommendations - -**Primary Recommendation: Simple Command + Rich Config** - -1. **Command**: "Implement X as the architects" -2. **Config**: Rich but optional -3. **Behavior**: AI reads config, applies automatically -4. **Validation**: Evidence in git history, test files, code style - -**Configuration for AI Parsing:** -```yaml -implementation: - enabled: true - - # Clear, structured for AI parsing - methodology: "TDD" - - # Grouped influences (AI can reason about) - influences: - methodology: ["Kent Beck - TDD by Example"] - design: ["Sandi Metz - POODR"] - language: ["Jeremy Evans - Roda patterns"] - - # Explicit practices (AI can apply) - practices: - testing: "Write tests first, red-green-refactor" - refactoring: "After tests green, when smells emerge" - style: "Follow Rubocop, small methods, clear names" -``` - -**Alternative (Simpler for AI):** -```yaml -implementation: - enabled: true - - # Single list (AI applies all) - guidance: - - "Follow TDD (Kent Beck)" - - "Small methods (Sandi Metz)" - - "Ruby idioms (Jeremy Evans)" - - "Refactor when tests green" -``` - -**Verdict**: ✅ Excellent AI assistant integration - ---- - -### ⚖️ Pragmatic Enforcer Review - -**Focus**: YAGNI and simplicity - -#### Challenge to This Feature - -**Proposed Feature**: "Implement as architects" command with configuration - -**Necessity Assessment**: 8/10 - -**Current Need (8/10):** -- User types long prompts every implementation (real pain) -- No persistence of preferences (frustrating) -- Inconsistent application (quality varies) -- This is **user's actual workflow today** (high confidence need is real) - -**Future Need (9/10):** -- Teams need consistent implementation approach -- Multiple developers benefit from shared config -- Onboarding requires documented standards -- Code quality improves with systematic application - -**Cost of Waiting (7/10):** -- User continues repetitive prompting (ongoing pain) -- Quality inconsistency continues -- No team standards documentation -- Could build habit around long prompts (bad pattern) - -**Evidence of Need:** -- User explicitly requests this (not speculative) -- Describes actual current workflow -- Clear value proposition (eliminate repetition) - -**Complexity Assessment**: 3/10 - -**Added Complexity (3/10):** -- One new config section (follows existing pattern) -- Command recognition (simple string matching) -- No new files (uses existing config.yml) -- No new abstractions (configuration-driven behavior already exists) - -**Maintenance Burden (2/10):** -- Update config as preferences evolve (user-driven) -- Keep influences current (natural evolution) -- No complex system to maintain -- Configuration is self-documenting - -**Learning Curve (3/10):** -- Users already understand config.yml (pragmatic_mode exists) -- Similar pattern to existing feature -- Clear documentation in AGENTS.md -- Examples provided - -**Dependencies Introduced (1/10):** -- No new dependencies -- Uses existing config system -- Leverages existing command pattern -- Optional feature (can ignore if not needed) - -#### Comparison to Pragmatic Mode - -**Pragmatic Mode:** -- Lines of config: ~100 (with comments) -- Complexity: Medium (multiple settings, apply_to section) -- Value: High (prevents over-engineering) - -**Implementation Config:** -- Lines of config: ~50 (with comments) -- Complexity: Low (simple structure) -- Value: High (eliminates repetition, improves quality) - -**This is simpler than pragmatic mode** and follows same pattern. - -#### Alternative Analysis - -**Alternative 1: Do Nothing (Status Quo)** -- Simplest: Zero implementation -- Cost: User continues repetitive prompts forever -- **Simpler?: Yes, but doesn't solve problem** - -**Alternative 2: Just Document in Text File** -- Create implementation.md with guidance -- AI reads markdown, applies manually -- **Simpler?: No - parsing prose is harder than YAML** - -**Alternative 3: Configuration (Proposed)** -- Add implementation section to config.yml -- Command recognition -- **Simpler?: Yes - leverages existing config system** - -**Alternative 4: Complex Member System** -- Create implementation members -- Complex methodology profiles -- Registry system -- **Simpler?: No - way too complex** - -#### Minimal Implementation - -**What's actually needed:** - -**1. Config section** (~30 lines): -```yaml -implementation: - enabled: true - methodology: "TDD" - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - - "Jeremy Evans - Roda patterns" - practices: - - "Write tests first" - - "Small methods" - - "Ruby idioms" -``` - -**2. Command recognition** (CLAUDE.md): -```markdown -### Implementation Command Recognition -When user says "Implement X as the architects": -- Read .architecture/config.yml implementation section -- Apply methodology + influences + practices -``` - -**3. Documentation** (AGENTS.md): -```markdown -## Implementation Commands -Configure methodology and influences in config.yml. -Use: "Implement X as the architects" -``` - -**That's it.** - -**Don't need:** -- ❌ Separate implementation.md file -- ❌ Complex member enhancement -- ❌ Profiles or registry -- ❌ Validation system -- ❌ Multi-level inheritance -- ❌ Complex schema - -**Defer:** -- **Global config** (~/.architecture/config.yml) - - Trigger: Users request personal defaults across projects - - Implementation: ~2 hours - -- **Member methodology fields** (members.yml enhancement) - - Trigger: Users want "Implement as [specific member]" - - Implementation: ~1 hour - -- **Validation/reporting** (implementation adherence checking) - - Trigger: Users request compliance verification - - Implementation: ~4 hours - -#### Recommendation: ✅ Approve as Proposed - -**Implement Now:** -1. Add implementation section to config.yml template -2. Add command recognition to CLAUDE.md -3. Document in AGENTS.md -4. Provide example for user's Ruby TDD workflow - -**Implementation Effort: ~1 hour** - -**Pragmatic Score:** -- **Necessity**: 8/10 (strong real need) -- **Complexity**: 3/10 (low complexity) -- **Ratio**: 3/8 = 0.375 ✅ (well below threshold) - -#### Justification - -**Why approve without simplification:** -1. **Real user need**: Actual current workflow, not speculation -2. **Follows existing pattern**: Same as pragmatic_mode structure -3. **Low complexity**: Single config section, simple command -4. **High value**: Eliminates repetitive prompts, improves quality -5. **Optional**: Projects can ignore if not needed -6. **No alternatives simpler**: Config is simplest solution that works - -**This is pragmatic engineering:** -- Solves real problem (repetitive prompts) -- Uses existing patterns (config.yml) -- Minimal implementation (~1 hour) -- High user value (90% prompt reduction) - -**Not over-engineering because:** -- Single config section (not multi-layered system) -- No new abstractions (uses existing config pattern) -- No speculative features (just what's needed) -- Defers enhancements until needed - -#### Overall Assessment - -**This feature represents appropriate engineering for a real, current need.** - ---- - -## Collaborative Discussion Phase - -### Key Points of Agreement - -1. ✅ **Real need exists**: User has this workflow today -2. ✅ **Follows existing pattern**: Like pragmatic_mode in config.yml -3. ✅ **Low complexity**: Single config section + command recognition -4. ✅ **High value**: Eliminates repetitive prompts -5. ✅ **Optional**: Projects can opt out -6. ✅ **Quality improvement**: Systematic application of best practices - -### Key Points of Discussion - -**Systems Architect vs Pragmatic Enforcer:** -- **Systems**: Wants rich config structure with nested sections -- **Pragmatic**: Prefers flat, simple config -- **Resolution**: Start simple, can nest if needed later - -**AI Engineer vs Domain Expert:** -- **AI Engineer**: Wants structured YAML for easy parsing -- **Domain**: Wants config to model implementation domain -- **Resolution**: YAML structure models domain (methodology, influences, practices) - -**Maintainability vs Security:** -- **Maintainability**: Wants quality-focused defaults -- **Security**: Wants mandatory security practices -- **Resolution**: Both can coexist (quality + security sections) - -### Emerging Consensus - -**Configuration Structure (Balanced):** - -```yaml -implementation: - # Simple enable/disable - enabled: true - - # Core methodology - methodology: "TDD" - - # Influences (can be list or grouped) - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - - "Jeremy Evans - Roda patterns" - - # Optional: Language-specific - languages: - ruby: - practices: "Rubocop, small methods, Ruby idioms" - - # Optional: Security (always applied) - security: - mandatory: true - practices: - - "Input validation" - - "Parameterized queries" -``` - -**Not too simple** (just a string) -**Not too complex** (deep nesting) -**Just right** (clear structure, easy to read/write) - ---- - -## Final Recommendations - -### Primary Recommendation: Implement Configuration Feature - -**Create: Implementation section in config.yml** - -Add to `.architecture/templates/config.yml`: - -```yaml -# ============================================================================== -# IMPLEMENTATION GUIDANCE -# ============================================================================== -# Configure how AI assistants implement features when you use the command: -# "Implement X as the architects" -# -# This allows you to specify methodology, influences, and practices once, -# and have them applied consistently across all implementations. - -implementation: - # Enable or disable implementation guidance - # Default: true (enabled by default) - enabled: true - - # Primary development methodology - # Options: TDD, BDD, DDD, Test-Last, Exploratory, or custom - methodology: "TDD" - - # Coding influences - thought leaders whose practices to follow - # Can be a simple list or grouped by focus area - influences: - - "Kent Beck - TDD by Example (methodology)" - - "Sandi Metz - POODR, 99 Bottles (design)" - - "Martin Fowler - Refactoring (patterns)" - - # Language-specific practices (optional) - # Customize for your project's primary language(s) - languages: - # Example: Ruby - # ruby: - # style_guide: "Rubocop" - # idioms: "Prefer blocks, meaningful names" - # frameworks: - # rails: "Follow conventions" - - # Testing approach (optional) - testing: - # framework: "RSpec" # or Minitest, Jest, pytest, etc. - # style: "Outside-in TDD" - # coverage: "High for business logic" - - # Quality standards (optional) - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "No obvious code smells" - - "Code reviewed" - - # Security practices (optional but recommended) - # These are always applied, even with pragmatic_mode - security: - mandatory_practices: - - "Input validation" - - "Output encoding" - - "Parameterized queries" -``` - -**Enhance: CLAUDE.md Command Recognition** - -Add new section after "Update Framework Requests": - -```markdown -### Implementation Command Recognition - -When a user requests implementation using phrases like "Implement X as the architects", "Implement the authentication feature as the architects", or "Implement as the architects" (referring to prior context), follow these steps: - -1. **Recognize Command Pattern** - - "Implement [feature] as the architects" - - "Implement as the architects" (with context) - - "Implement [feature]" (if implementation.enabled: true) - -2. **Read Configuration** - - Read `.architecture/config.yml` implementation section - - Check if implementation.enabled is true - - If false or missing: standard implementation without special guidance - -3. **Extract Implementation Guidance** - - Methodology: TDD, BDD, DDD, etc. - - Influences: Thought leaders to follow (Kent Beck, Sandi Metz, etc.) - - Language practices: Language-specific idioms and conventions - - Testing approach: Framework, style, coverage goals - - Quality standards: Definition of done - - Security practices: Mandatory security requirements - -4. **Apply During Implementation** - - **Methodology**: Follow specified approach - - TDD: Write tests first, red-green-refactor cycle - - BDD: Behavior-focused tests, outside-in development - - DDD: Domain modeling, bounded contexts - - Test-Last: Implementation first, tests after - - **Influences**: Apply practices from specified authorities - - Reference specific techniques from their books/talks - - Apply their principles and patterns - - **Language Practices**: Use language-specific idioms and conventions - - **Testing**: Structure tests according to configured approach - - **Refactoring**: Refactor according to configured principles - - **Quality**: Verify against definition of done - - **Security**: Always apply mandatory security practices - -5. **Architect Perspective Override** - - If user specifies specific architect: "Implement X as pragmatic_enforcer" - - Read that member's methodologies from `.architecture/members.yml` - - Apply their specific approach instead of general config - - Fall back to implementation config for details not in member profile - -6. **Implementation Notes** - - Document what methodology was followed - - Note which influences were applied - - Track any deviations with rationale - - Can include in commit messages or PR descriptions - -**Example Application:** - -Config: -\`\`\`yaml -implementation: - methodology: "TDD" - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - - "Jeremy Evans - Roda patterns" -\`\`\` - -User: "Implement authentication as the architects" - -AI Applies: -- Write authentication tests first (Kent Beck TDD) -- Keep methods small and clear (Sandi Metz principles) -- Use Ruby idioms and patterns (Jeremy Evans) -- Red-green-refactor cycle -- Refactor for clarity after tests pass -- Ensure all tests passing before completion - -**Integration with Pragmatic Mode:** -- If pragmatic_mode.enabled: Apply YAGNI alongside methodology -- Security practices exempt from YAGNI (always applied) -- Balance simplicity with best practices -``` - -**Document: AGENTS.md** - -Add section in "Core Workflows": - -```markdown -### Implementing Features with Configured Methodology - -To implement features using your configured methodology and practices: - -\`\`\` -Implement [feature] as the architects -\`\`\` - -AI assistants will automatically: -1. Read your `.architecture/config.yml` implementation section -2. Apply configured methodology (TDD, BDD, DDD, etc.) -3. Follow specified influences (Kent Beck, Sandi Metz, etc.) -4. Use language-specific practices and idioms -5. Meet your quality standards -6. Apply mandatory security practices - -**Configuration:** - -Edit `.architecture/config.yml`: - -\`\`\`yaml -implementation: - enabled: true - methodology: "TDD" # or BDD, DDD, Test-Last, etc. - influences: - - "Kent Beck - TDD by Example" - - "Sandi Metz - POODR" - - "Martin Fowler - Refactoring" - quality: - definition_of_done: - - "Tests passing" - - "Code refactored" - - "Code reviewed" -\`\`\` - -**Example Workflows:** - -**Ruby TDD with OO Focus:** -\`\`\`yaml -implementation: - methodology: "TDD" - influences: - - "Kent Beck - TDD by Example" - - "Gary Bernhardt - Destroy All Software" - - "Sandi Metz - POODR, 99 Bottles" - - "Martin Fowler - Refactoring" - - "Jeremy Evans - Roda, Sequel patterns" - - "Vladimir Dementyev - Modern Ruby" -\`\`\` - -**JavaScript BDD with Functional Style:** -\`\`\`yaml -implementation: - methodology: "BDD" - influences: - - "Dan North - BDD originator" - - "Kent C. Dodds - Testing Library" - - "Eric Elliott - Composing Software" -\`\`\` - -**Commands:** -- \`Implement authentication as the architects\` - Uses config -- \`Implement as the architects\` - Uses config (with prior context) -- \`Implement feature X as pragmatic_enforcer\` - Uses specific architect's methodology -``` - -### Implementation Approach - -**Phase 1: Core Implementation (1 hour)** - -**Step 1: Update config.yml template** (20 minutes) -- Add implementation section with comments -- Provide clear examples -- Document all options - -**Step 2: Add command recognition to CLAUDE.md** (20 minutes) -- Document pattern recognition -- Explain application process -- Provide examples - -**Step 3: Document in AGENTS.md** (20 minutes) -- Cross-platform documentation -- Usage examples -- Common workflows - -### Example Configuration (User's Ruby TDD Workflow) - -```yaml -implementation: - enabled: true - - methodology: "TDD" - - influences: - - "Kent Beck - TDD by Example (methodology fundamentals)" - - "Gary Bernhardt - Destroy All Software (TDD techniques, functional core/imperative shell)" - - "Sandi Metz - POODR, 99 Bottles (OO design, refactoring, practical patterns)" - - "Martin Fowler - Refactoring (refactoring catalog, code smells)" - - "Jeremy Evans - Roda, Sequel (Ruby idioms, library patterns, pragmatic design)" - - "Vladimir Dementyev - Modern Ruby practices (performance, testing strategies)" - - languages: - ruby: - style_guide: "Rubocop" - idioms: "Prefer blocks over loops, meaningful method names, appropriate Ruby 3+ features" - frameworks: - rails: "Follow conventions but question them, service objects for complex logic" - - testing: - framework: "RSpec" - style: "Outside-in TDD (Detroit school)" - approach: "Mock judiciously, prefer real objects when practical" - speed: "Fast unit tests (<100ms), mock external dependencies" - - refactoring: - when: - - "After tests green (red-green-REFACTOR)" - - "When code smells emerge (long methods, large classes, duplication)" - - "Rule of Three: refactor on third occurrence" - principles: - - "Small methods (≤5 lines per Sandi Metz)" - - "Clear names over comments" - - "Simple design over clever code" - - quality: - definition_of_done: - - "Tests passing (all green)" - - "Code refactored for clarity" - - "No obvious code smells" - - "Rubocop passing" - - "Code reviewed" - - priorities: - - "Clarity first (code is read more than written)" - - "Simplicity second (avoid premature abstraction)" - - "Performance third (optimize when measured need exists)" - - security: - mandatory_practices: - - "Input validation" - - "Output encoding" - - "Parameterized queries" - - "Authentication and authorization checks" -``` - -### Deferred Enhancements - -**Track Trigger Conditions:** - -**1. Global User Configuration** (~/.architecture/config.yml) -- **Trigger**: Users request personal defaults across all projects -- **Trigger**: 3+ users ask "how do I set this for all my projects?" -- **Implementation**: ~2 hours (config file location, inheritance logic) - -**2. Member Methodology Fields** (enhance members.yml) -- **Trigger**: Users want "Implement X as [specific member]" -- **Trigger**: Need different methodologies for different architect perspectives -- **Implementation**: ~1 hour (add optional fields to members.yml) - -**3. Implementation Validation/Reporting** -- **Trigger**: Users request "verify TDD was followed" -- **Trigger**: Need compliance checking for methodology -- **Implementation**: ~4 hours (git history analysis, reporting) - -**4. Language-Specific Profiles** -- **Trigger**: Complex multi-language projects need per-language configs -- **Trigger**: Users request "different methodology for frontend vs backend" -- **Implementation**: ~3 hours (language detection, profile selection) - -### Success Criteria - -**Phase 1 Success:** -- [ ] implementation section exists in config.yml template -- [ ] Command recognition documented in CLAUDE.md -- [ ] Usage documented in AGENTS.md -- [ ] Example provided for Ruby TDD workflow -- [ ] AI assistants can read and apply configuration -- [ ] User can say "Implement X as the architects" and it works -- [ ] No breaking changes to existing projects - -**User Value Metrics:** -- 90% reduction in prompt length (measured) -- Consistent methodology application (code review verification) -- Better code quality (subjective assessment, test coverage) -- Faster implementation (less time crafting prompts) - -### Risk Mitigation - -**Risk 1: Configuration too complex for users** -- Mitigation: Provide simple examples in template -- Mitigation: All fields optional except enabled + methodology -- Mitigation: Ship with good defaults - -**Risk 2: AI assistants ignore configuration** -- Mitigation: Test with Claude Code during development -- Mitigation: Clear instructions in AGENTS.md for all assistants -- Mitigation: Examples show expected behavior - -**Risk 3: Methodology conflicts with pragmatic mode** -- Mitigation: Document interaction in both sections -- Mitigation: Security practices exempt from YAGNI -- Mitigation: Balance simplicity with best practices - -**Risk 4: Scope creep (feature becomes complex)** -- Mitigation: Document deferred enhancements with clear triggers -- Mitigation: Keep Phase 1 minimal (just config + command) -- Mitigation: Pragmatic mode applies to this feature too - ---- - -## Architecture Decision - -**Recommendation: Create ADR-004** - -This represents a significant enhancement to the framework: -- New command pattern -- Configuration-driven implementation -- Changes how users interact with framework -- Sets precedent for future enhancements - -**ADR-004 should document:** -- Decision to add implementation command + configuration -- Choice of config.yml over separate file -- Integration with existing patterns -- Deferred enhancements and triggers -- Examples and usage patterns - ---- - -## Review Summary - -**Feature**: "Implement as the architects" command with configuration -**Complexity**: Low (follows existing patterns) -**Value**: High (eliminates repetitive prompts, improves quality) -**Implementation**: ~1 hour -**Risk**: Low (optional feature, backward compatible) - -**All architects recommend approval:** -- Systems Architect: ✅ Clean architectural fit -- Domain Expert: ✅ Clear domain model -- Security Specialist: ✅ Safe with security configuration -- Maintainability Expert: ✅ Strong quality improvement -- Performance Specialist: ✅ Good with performance awareness -- AI Engineer: ✅ Excellent AI integration -- Pragmatic Enforcer: ✅ Approve as proposed (0.375 ratio) - -**Consensus**: Implement Phase 1 now, defer enhancements until triggered. - ---- - -## Next Steps - -1. **User Decision**: Proceed with implementation? -2. **If yes**: Create ADR-004 documenting this decision -3. **Implement Phase 1**: - - Update config.yml template - - Enhance CLAUDE.md - - Document in AGENTS.md - - Add user's Ruby TDD example -4. **Test with user's workflow** -5. **Monitor for enhancement triggers** - ---- - -**Review Completed**: 2025-11-20 -**Total Review Time**: ~1.5 hours -**Recommendation**: ✅ Approve and implement -**Estimated Implementation**: 1 hour -**Next**: User decision → ADR-004 → Implementation diff --git a/.architecture/reviews/feature-parity-analysis.md b/.architecture/reviews/feature-parity-analysis.md deleted file mode 100644 index 6b5815f..0000000 --- a/.architecture/reviews/feature-parity-analysis.md +++ /dev/null @@ -1,609 +0,0 @@ -# Feature Parity Analysis: Integration Methods - -**Date**: 2025-11-12 -**Review Type**: Comprehensive Feature Parity Analysis -**Scope**: All integration methods (Claude Skills, MCP Server, Traditional CLAUDE.md, Cursor, GitHub Copilot/Codex) - -## Executive Summary - -This analysis compares feature availability and consistency across all AI Software Architect framework integration methods. The framework supports five integration approaches, each with different capabilities based on the platform's technical constraints. - -**Overall Assessment**: Good with gaps to address - -**Key Findings**: -- Core features (setup, ADR creation, reviews, specialist reviews, status, list members) available in all methods except GitHub Copilot/Codex -- MCP server provides programmatic API but lacks some advanced features from Skills -- Documentation is mostly consistent but has differences in command examples -- Claude Skills is the most feature-complete implementation -- GitHub Copilot/Codex integration is the least structured (context-based only) - -**Critical Actions**: -- Add missing features to MCP server (pragmatic mode, recalibration) -- Standardize command examples across all documentation -- Create feature parity roadmap for underserved platforms - -## Integration Methods Overview - -### 1. Claude Skills (.claude/skills/) -**Type**: Prompt-based skill system for Claude Code -**Installation**: Copy skills to ~/.claude/skills/ or project .claude/skills/ -**Invocation**: Automatic (Claude selects based on user request) -**State**: Most complete implementation - -### 2. MCP Server (mcp/index.js) -**Type**: Model Context Protocol server with tools -**Installation**: npm install -g ai-software-architect -**Invocation**: Programmatic (tools called via MCP) -**State**: Functional but missing some features - -### 3. Traditional CLAUDE.md -**Type**: Markdown-based instructions in project root -**Installation**: Add instructions to CLAUDE.md file -**Invocation**: Context-based (Claude reads CLAUDE.md) -**State**: Flexible but less structured - -### 4. Cursor Rules (.coding-assistants/cursor/) -**Type**: Rule-based context system -**Installation**: Files in .coding-assistants/cursor/ -**Invocation**: Context-based (Cursor reads .mdc files) -**State**: Not fully implemented (files referenced but don't exist) - -### 5. GitHub Copilot/Codex -**Type**: Natural language context-based -**Installation**: Framework cloned, context inferred -**Invocation**: Natural language (no structured commands) -**State**: Most flexible, least structured - -## Feature Comparison Matrix - -| Feature | Claude Skills | MCP Server | Traditional | Cursor | Copilot/Codex | Priority | -|---------|--------------|------------|-------------|--------|---------------|----------| -| **Core Features** | -| Setup Architecture | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | -| Create ADR | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | -| Full Architecture Review | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | -| Specialist Review | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Critical | -| List Members | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | High | -| Get Status | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | High | -| **Advanced Features** | -| Pragmatic Mode | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | High | -| Dynamic Member Creation | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | High | -| Recalibration Process | ⚠️ Partial | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | Medium | -| Input Validation | ✅ Yes | ⚠️ Partial | ❌ No | ❌ No | ❌ No | High | -| Tool Restrictions | ✅ Yes | N/A | N/A | N/A | N/A | Medium | -| **Documentation Features** | -| Version Comparison | ❌ No | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | Low | -| Custom Templates | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Medium | -| Initial Analysis | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | Medium | -| **Integration Features** | -| Project Analysis | ⚠️ Basic | ✅ Advanced | ⚠️ Basic | ⚠️ Basic | ⚠️ Basic | Medium | -| Auto-Customization | ⚠️ Basic | ✅ Advanced | ⚠️ Basic | ⚠️ Basic | ⚠️ Basic | Medium | -| Framework Cleanup | ✅ Yes | ✅ Yes | ⚠️ Manual | ⚠️ Manual | ⚠️ Manual | Low | -| CLAUDE.md Integration | ✅ Yes | ✅ Yes | ✅ Yes | N/A | N/A | Medium | -| **User Experience** | -| Trigger Phrase Clarity | ✅ Excellent | N/A | ⚠️ Variable | ⚠️ Variable | ⚠️ Variable | High | -| Error Handling | ✅ Explicit | ✅ Explicit | ⚠️ Implicit | ⚠️ Implicit | ⚠️ Implicit | High | -| Related Skills Guidance | ✅ Yes | ❌ No | ❌ No | ❌ No | ❌ No | Medium | -| Workflow Examples | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | Medium | - -**Legend**: ✅ Yes (fully implemented), ⚠️ Partial (partially implemented), ❌ No (not implemented), N/A (not applicable) - -## Detailed Feature Analysis - -### Core Features (Critical Priority) - -#### Setup Architecture -- **Claude Skills**: ✅ Comprehensive setup process with validation -- **MCP Server**: ✅ Most advanced - includes project analysis, auto-customization, initial analysis -- **Traditional**: ✅ Manual guidance-based setup -- **Cursor**: ✅ Context-based setup (relies on Rules) -- **Copilot/Codex**: ✅ Natural language setup - -**Parity Status**: ✅ Good - All methods support setup -**Recommendation**: None - acceptable variation based on platform - -#### Create ADR -- **Claude Skills**: ✅ Structured process with validation, sequential numbering -- **MCP Server**: ✅ Automated numbering, template-based creation -- **Traditional**: ✅ Guidance-based creation -- **Cursor**: ✅ Context-based creation -- **Copilot/Codex**: ✅ Natural language creation - -**Parity Status**: ✅ Good - All methods support ADR creation -**Gap**: Only Skills has input validation guidance -**Recommendation**: Document input validation as best practice in all docs - -#### Full Architecture Review -- **Claude Skills**: ✅ Comprehensive with all members, pragmatic mode support -- **MCP Server**: ✅ Template creation with all members -- **Traditional**: ✅ Full collaborative review -- **Cursor**: ✅ Multi-perspective review -- **Copilot/Codex**: ✅ Multi-perspective analysis - -**Parity Status**: ⚠️ Partial - Features vary -**Gap**: MCP creates template but doesn't conduct review -**Recommendation**: Add review conductor logic to MCP or document as two-step process - -#### Specialist Review -- **Claude Skills**: ✅ Focused review with auto-creation of specialists -- **MCP Server**: ✅ Template creation, matches existing specialists -- **Traditional**: ✅ Dynamic specialist creation -- **Cursor**: ✅ Perspective-based review -- **Copilot/Codex**: ✅ Expert-focused analysis - -**Parity Status**: ⚠️ Partial - Capability varies -**Gap**: MCP doesn't auto-create missing specialists -**Recommendation**: Add dynamic specialist creation to MCP - -#### List Members -- **Claude Skills**: ✅ Read-only with tool restrictions, formatted display -- **MCP Server**: ✅ Formatted list from members.yml -- **Traditional**: ✅ Guidance to read members.yml -- **Cursor**: ✅ Context-aware member awareness -- **Copilot/Codex**: ✅ Can summarize members - -**Parity Status**: ✅ Good -**Recommendation**: None - -#### Get Status -- **Claude Skills**: ✅ Read-only with tool restrictions, health analysis -- **MCP Server**: ✅ Counts and summary -- **Traditional**: ✅ Manual status review -- **Cursor**: ✅ Context-based status -- **Copilot/Codex**: ✅ Summary generation - -**Parity Status**: ✅ Good -**Gap**: Skills provides more detailed health analysis -**Recommendation**: Add health analysis logic to MCP - -### Advanced Features (High Priority) - -#### Pragmatic Mode / YAGNI Enforcement -- **Claude Skills**: ✅ Full support via dedicated `pragmatic-guard` skill with config.yml reading, pragmatic_enforcer member -- **MCP Server**: ✅ Full support via `configure_pragmatic_mode` tool with config.yml reading and configuration -- **Traditional**: ✅ Documented in CLAUDE.md, manual application -- **Cursor**: ✅ Rule-based (if configured) -- **Copilot/Codex**: ✅ Natural language guidance - -**Parity Status**: ✅ Excellent - Full feature parity across all methods -**Gap**: None -**Recommendation**: COMPLETED - MCP now has full pragmatic mode support via configure_pragmatic_mode tool - -#### Dynamic Member Creation -- **Claude Skills**: ✅ Automatic when specialist requested -- **MCP Server**: ❌ No - returns error if specialist not found -- **Traditional**: ✅ Documented capability -- **Cursor**: ✅ Can add members -- **Copilot/Codex**: ✅ Can suggest adding members - -**Parity Status**: ❌ Poor - Major gap in MCP -**Gap**: MCP specialist_review fails if member not found instead of creating -**Recommendation**: HIGH PRIORITY - Add dynamic member creation to MCP - -#### Recalibration Process -- **Claude Skills**: ⚠️ Partially implemented - documented in architecture-review Related Skills but no dedicated skill -- **MCP Server**: ❌ No tool for recalibration -- **Traditional**: ✅ Documented in CLAUDE.md with full process -- **Cursor**: ✅ Context-based recalibration -- **Copilot/Codex**: ✅ Natural language recalibration - -**Parity Status**: ⚠️ Mixed - Skills missing, MCP missing, others have it -**Gap**: Neither Skills nor MCP have dedicated recalibration support -**Recommendation**: MEDIUM PRIORITY - Add recalibration skill and MCP tool - -#### Input Validation -- **Claude Skills**: ✅ Comprehensive validation in create-adr, architecture-review, specialist-review -- **MCP Server**: ⚠️ Basic validation - sanitizes filenames but no security guidance -- **Traditional**: ❌ No explicit validation guidance -- **Cursor**: ❌ No explicit validation guidance -- **Copilot/Codex**: ❌ No explicit validation guidance - -**Parity Status**: ⚠️ Poor - Only Skills has comprehensive validation -**Gap**: MCP has basic sanitization but doesn't validate for security -**Recommendation**: Add validation guidance to all documentation, enhance MCP validation - -### Documentation Features (Medium Priority) - -#### Initial System Analysis -- **Claude Skills**: ❌ No - setup-architect doesn't conduct initial analysis -- **MCP Server**: ✅ Yes - conductInitialAnalysis creates comprehensive report -- **Traditional**: ✅ Documented as part of setup -- **Cursor**: ✅ Documented as part of setup -- **Copilot/Codex**: ✅ Natural language analysis - -**Parity Status**: ⚠️ Inconsistent - Skills missing this feature -**Gap**: Skills setup doesn't create initial analysis -**Recommendation**: Add initial analysis to setup-architect skill - -#### Project Analysis -- **Claude Skills**: ⚠️ Basic - detects languages/frameworks mentioned in setup-architect -- **MCP Server**: ✅ Advanced - comprehensive analyzeProject() function -- **Traditional**: ⚠️ Implicit - relies on AI analysis -- **Cursor**: ⚠️ Implicit - relies on Cursor's analysis -- **Copilot/Codex**: ⚠️ Implicit - relies on Copilot's analysis - -**Parity Status**: ⚠️ Variable - MCP has best implementation -**Gap**: Skills has outline but not implementation -**Recommendation**: LOW PRIORITY - Document expectations better in Skills - -## Documentation Consistency Analysis - -### Command Example Inconsistencies - -| Feature | Claude Skills | Traditional | Cursor | Copilot | MCP | -|---------|--------------|-------------|--------|---------|-----| -| Setup | "Setup ai-software-architect" | "Setup architecture using: [URL]" | "Setup architecture using: [URL]" | "Setup architecture" | setup_architecture(projectPath) | -| Create ADR | "Create ADR for [topic]" | "Create an ADR for 'topic'" | "Create an ADR for this decision" | "Create an ADR for our database choice" | create_adr(title, context, decision, consequences, projectPath) | -| Architecture Review | "Start architecture review for version X.Y.Z" | "Start architecture review for version X.Y.Z" | "Review this architecture" | "Review this architecture" | start_architecture_review(reviewTarget, projectPath) | -| Specialist Review | "Ask [specialist] to review [target]" | "Ask Security Architect to review these code changes" | "Analyze this from a security perspective" | "Review this for security issues" | specialist_review(specialist, target, projectPath) | -| List Members | "List architecture members" | Manual read of members.yml | Context-aware | "Summarize our current architectural decisions" | list_architecture_members(projectPath) | -| Get Status | "What's our architecture status?" | Manual review | "Evaluate this code's architecture" | Manual | get_architecture_status(projectPath) | - -**Inconsistencies Found**: -1. Setup command varies significantly across methods -2. ADR creation uses different phrasings ("Create ADR" vs "Create an ADR") -3. Review commands use different structures (imperative vs question form) -4. Some docs use quotes, others don't -5. MCP uses programmatic naming (snake_case) vs natural language - -**Recommendation**: Standardize primary command examples while noting alternatives - -### Feature Description Inconsistencies - -**Setup Process**: -- Claude Skills: Emphasizes "FIRST time", "NEW project" -- Traditional: Emphasizes URL-based cloning -- MCP: Emphasizes projectPath parameter -- Cursor/Copilot: Emphasizes universal command - -**Review Process**: -- Skills: Emphasizes "ALL members", "comprehensive" -- Traditional: Emphasizes collaborative nature -- MCP: Creates template for completion -- Cursor/Copilot: Emphasizes multi-perspective - -**Recommendation**: Create canonical feature descriptions document - -### Documentation File Structure - -Current structure: -``` -- README.md (main, mentions all methods) -- USAGE.md (general usage) -- USAGE-WITH-CLAUDE.md (traditional Claude) -- USAGE-WITH-CLAUDE-SKILLS.md (Claude Skills) -- USAGE-WITH-CURSOR.md (Cursor) -- USAGE-WITH-CODEX.md (GitHub Copilot/Codex) -- mcp/README.md (MCP server) -``` - -**Issues**: -1. Two Claude docs may confuse users -2. MCP doc is separate in mcp/ directory -3. No single source of truth for features -4. No cross-references between methods - -**Recommendation**: Create feature index linking all implementations - -### Missing Documentation - -| Platform | Missing Docs | Priority | -|----------|--------------|----------| -| Claude Skills | Recalibration skill docs | Medium | -| MCP | Pragmatic mode support | High | -| MCP | Dynamic member creation | High | -| MCP | Recalibration tool | Medium | -| Cursor | Actual .mdc rule files | Critical | -| All | Feature comparison table | High | -| All | Migration guide between methods | Medium | - -## Gap Analysis by Platform - -### Claude Skills Gaps - -**Missing Features**: -1. ❌ Recalibration skill (documented in related skills but not implemented) -2. ❌ Initial system analysis in setup -3. ❌ Version comparison skill - -**Partial Features**: -1. ⚠️ Project analysis (outlined but not detailed) - -**Recommendations**: -1. **HIGH**: Add recalibration skill -2. **MEDIUM**: Add initial analysis to setup-architect -3. **LOW**: Consider version comparison skill - -### MCP Server Gaps - -**Missing Features**: -1. ❌ Pragmatic mode support (no config.yml reading, no pragmatic_enforcer) -2. ❌ Dynamic member creation (fails instead of creating) -3. ❌ Recalibration tool -4. ❌ Related tools guidance -5. ❌ Health analysis in status - -**Partial Features**: -1. ⚠️ Input validation (basic sanitization, no security guidance) -2. ⚠️ Review generation (creates template, doesn't conduct) - -**Recommendations**: -1. **HIGH**: Add pragmatic mode support - - Read config.yml in all relevant tools - - Add pragmatic_enforcer to member analysis - - Apply pragmatic analysis in reviews -2. **HIGH**: Add dynamic member creation - - Auto-create specialist if not found - - Add to members.yml - - Inform user of creation -3. **MEDIUM**: Add recalibration tool - - start_architecture_recalibration(target, projectPath) - - Parse review findings - - Generate action plan -4. **MEDIUM**: Enhance input validation - - Add security-focused validation - - Prevent path traversal - - Validate all user inputs -5. **LOW**: Add health analysis to get_architecture_status - - Analyze documentation completeness - - Provide health score - - Give recommendations - -### Traditional CLAUDE.md Gaps - -**Missing Features**: -1. ❌ Structured skill invocation (relies on context) -2. ❌ Tool restrictions -3. ❌ Explicit validation guidance - -**Strengths**: -1. ✅ Most flexible -2. ✅ Full feature coverage through prose -3. ✅ Easy to customize - -**Recommendations**: -1. **MEDIUM**: Add validation guidance section -2. **LOW**: Add examples of all features -3. **LOW**: Create template CLAUDE.md for quick setup - -### Cursor Gaps - -**Critical Issues**: -1. ❌ No actual .mdc files in .coding-assistants/cursor/ -2. ❌ Documentation references non-existent files -3. ❌ Unclear how framework integrates with Cursor - -**Recommendations**: -1. **CRITICAL**: Create actual .mdc rule files - - ai_software_architect_overview.mdc - - ai_software_architect_setup.mdc - - ai_software_architect_usage.mdc - - ai_software_architect_structure.mdc - - ai_software_architect_reviews.mdc -2. **HIGH**: Test with actual Cursor installation -3. **HIGH**: Update docs to match reality - -### GitHub Copilot/Codex Gaps - -**Missing Features**: -1. ❌ Structured commands (all natural language) -2. ❌ Validation guidance -3. ❌ Error handling patterns - -**Strengths**: -1. ✅ Most natural/flexible -2. ✅ Inline assistance -3. ✅ Context-aware suggestions - -**Recommendations**: -1. **LOW**: Document common patterns -2. **LOW**: Add examples for key workflows -3. **LOW**: Guidance on verifying framework understanding - -## Command Standardization Recommendations - -### Proposed Standard Command Format - -**Setup**: -- **Primary**: "Setup ai-software-architect" -- **Alternatives**: "Setup architecture", "Initialize architecture framework" -- **MCP**: `setup_architecture(projectPath)` - -**Create ADR**: -- **Primary**: "Create ADR for [decision topic]" -- **Alternatives**: "Document architectural decision for [topic]", "Write ADR about [topic]" -- **MCP**: `create_adr(title, context, decision, consequences, projectPath)` - -**Full Review**: -- **Primary**: "Start architecture review for [version/feature]" -- **Alternatives**: "Conduct architecture review for [target]", "Review architecture for [scope]" -- **MCP**: `start_architecture_review(reviewTarget, projectPath)` - -**Specialist Review**: -- **Primary**: "Ask [Specialist Name] to review [target]" -- **Alternatives**: "Get [specialist]'s opinion on [topic]", "Have [role] review [code/component]" -- **MCP**: `specialist_review(specialist, target, projectPath)` - -**List Members**: -- **Primary**: "List architecture members" -- **Alternatives**: "Who's on the architecture team?", "Show me the architects" -- **MCP**: `list_architecture_members(projectPath)` - -**Get Status**: -- **Primary**: "What's our architecture status?" -- **Alternatives**: "Show architecture documentation", "Architecture health check" -- **MCP**: `get_architecture_status(projectPath)` - -**Recalibration** (to be added): -- **Primary**: "Start architecture recalibration for [target]" -- **Alternatives**: "Plan implementation of [review]", "Create action plan from [review]" -- **MCP**: `start_architecture_recalibration(reviewTarget, projectPath)` (to be implemented) - -### Documentation Updates Needed - -**README.md**: -- Add feature comparison table -- Clarify method selection guidance -- Add links to all usage docs -- Standardize command examples - -**USAGE-WITH-CLAUDE.md**: -- Update to clarify difference from Skills -- Add examples using standard commands -- Cross-reference Skills doc - -**USAGE-WITH-CLAUDE-SKILLS.md**: -- Add recalibration when implemented -- Clarify setup vs traditional method -- Add troubleshooting section - -**USAGE-WITH-CURSOR.md**: -- Create actual .mdc files first -- Update with real file paths -- Add verification steps - -**USAGE-WITH-CODEX.md**: -- Add more concrete examples -- Clarify limitations -- Add verification guidance - -**mcp/README.md**: -- Document missing features -- Add pragmatic mode when implemented -- Add recalibration when implemented -- Add examples for all tools - -**USAGE.md**: -- Add method comparison section -- Standardize command examples -- Add cross-references - -## Priority Roadmap - -### Immediate (This Sprint) - -1. **Create Cursor .mdc files** (CRITICAL) - - Actually implement the files referenced in docs - - Test with Cursor - - Update documentation - -2. **Standardize documentation commands** (HIGH) - - Choose primary command format - - Update all docs consistently - - Add "Alternatives" sections - -3. **Create feature comparison table** (HIGH) - - Add to README.md - - Link from all usage docs - - Help users choose method - -### Short-term (Next 2-4 weeks) - -4. **Add pragmatic mode to MCP** (HIGH) - - Read config.yml - - Apply pragmatic_enforcer - - Document in MCP README - -5. **Add dynamic member creation to MCP** (HIGH) - - Auto-create missing specialists - - Add to members.yml - - Return creation confirmation - -6. **Add recalibration to Skills and MCP** (MEDIUM) - - Create recalibration skill - - Create MCP tool - - Update all docs - -7. **Add initial analysis to Skills** (MEDIUM) - - Enhance setup-architect - - Match MCP capability - - Document in usage - -8. **Enhance MCP validation** (MEDIUM) - - Add security-focused validation - - Prevent path traversal - - Document validation patterns - -### Long-term (Next 1-3 months) - -9. **Create migration guide** (MEDIUM) - - Between methods - - Upgrade paths - - Feature comparison - -10. **Add health analysis to MCP** (LOW) - - Documentation completeness - - Health scoring - - Recommendations - -11. **Add version comparison feature** (LOW) - - All methods - - Template and process - - Examples - -12. **Create shared patterns document** (LOW) - - For all methods - - Common workflows - - Best practices - -## Success Metrics - -### Feature Parity Metrics - -**Current State**: -- Core features: 100% (6/6) in Skills, 100% (6/6) in MCP, 100% (6/6) in Traditional -- Advanced features: 60% (3/5) in Skills, 20% (1/5) in MCP, 100% (5/5) in Traditional -- Documentation features: 66% (2/3) in Skills, 100% (3/3) in MCP, 100% (3/3) in Traditional -- Overall completeness: Skills 82%, MCP 73%, Traditional 100% - -**Target State** (3 months): -- Core features: 100% across all methods -- Advanced features: 80%+ across Skills and MCP -- Documentation features: 100% across Skills and MCP -- Overall completeness: 90%+ across all methods - -### Documentation Consistency Metrics - -**Current State**: -- Command example consistency: ~60% (significant variations) -- Feature description consistency: ~70% (some variations) -- Cross-references: 30% (minimal cross-linking) -- Completeness: 70% (missing Cursor files, some gaps) - -**Target State** (3 months): -- Command example consistency: 95%+ -- Feature description consistency: 90%+ -- Cross-references: 80%+ -- Completeness: 95%+ - -## Conclusion - -The AI Software Architect framework has strong feature coverage across most integration methods, with the notable exception of Cursor (missing implementation files) and some gaps in MCP server (missing advanced features). - -**Strengths**: -- All core features available in Skills and MCP -- Traditional method provides full flexibility -- Clear separation of concerns -- Multiple options for different workflows - -**Weaknesses**: -- Cursor integration incomplete (critical) -- MCP missing pragmatic mode and dynamic members (high impact) -- Documentation command examples inconsistent -- Skills missing recalibration (medium impact) -- No feature comparison for users - -**Next Steps**: -1. Implement Cursor .mdc files (unblock users) -2. Add missing MCP features (achieve parity) -3. Standardize documentation (improve user experience) -4. Add recalibration to Skills and MCP (complete feature set) -5. Create comparison guide (help users choose) - -This analysis provides a clear roadmap for achieving feature parity and documentation consistency across all integration methods. - ---- - -**Review conducted by**: Systems Architect, Domain Expert -**Confidence level**: High (comprehensive analysis of all methods) -**Follow-up**: Implement roadmap and track metrics quarterly diff --git a/.architecture/reviews/pragmatic-mode-post-implementation-review.md b/.architecture/reviews/pragmatic-mode-post-implementation-review.md deleted file mode 100644 index 84b2bbc..0000000 --- a/.architecture/reviews/pragmatic-mode-post-implementation-review.md +++ /dev/null @@ -1,319 +0,0 @@ -# Architecture Review: Pragmatic Guard Mode Implementation - -**Review Date**: 2025-11-05 -**Reviewers**: All Architecture Team Members + Pragmatic Enforcer -**Status**: Post-Implementation Review -**Pragmatic Mode**: ENABLED (Balanced) - ---- - -## Review Scope - -Post-implementation review of Pragmatic Guard Mode feature to identify: -- Superfluous files and documentation -- Redundant content -- Unnecessary complexity -- Cleanup opportunities - ---- - -## Individual Reviews - -### Domain Expert Review - -**Overall Assessment**: ✅ Feature is well-designed and functional - -**Strengths**: -- Clear separation of concerns (config, templates, examples, tracking) -- Examples are comprehensive and realistic -- Template integration is clean - -**Concerns**: -- **Too many meta-documents**: 4 PHASE-*-COMPLETE.md files + 3 phase-*-pragmatic-analysis.md files = 7 files documenting the implementation process -- These meta-documents were useful during implementation but add clutter now -- Users don't need to know about our phased implementation approach - -**Recommendations**: -1. Consolidate or remove PHASE-*-COMPLETE.md files (implementation artifacts) -2. Consolidate or remove phase-*-pragmatic-analysis.md files (meta-analysis docs) -3. Keep only user-facing documentation - ---- - -### Maintainability Expert Review - -**Overall Assessment**: ⚠️ Good feature, but maintenance burden from meta-docs - -**Strengths**: -- Core files are well-organized -- Templates are clear and self-documenting -- Examples are high quality - -**Concerns**: -- **7 meta-documents** about implementation process -- **PHASE-1-TEST.md**: Test verification from Phase 1, no longer needed -- **PHASE-2A/3A/4A-COMPLETE.md**: Implementation completion docs, historical only -- **phase-2/3/4-pragmatic-analysis.md**: Meta-analysis of phases, implementation artifacts -- These files add navigation complexity -- No clear value for end users -- Will require maintenance if framework changes - -**Recommendations**: -1. **Remove** PHASE-1-TEST.md (test verification, no longer relevant) -2. **Consolidate** PHASE-*-COMPLETE.md files into single implementation retrospective OR remove entirely -3. **Consolidate** phase-*-pragmatic-analysis.md files into single document OR remove entirely -4. Keep only: config.yml, deferrals.md, templates, examples, CLAUDE.md instructions - -**Maintenance Burden Analysis**: -- Current: 11 files added (4 completion + 3 analysis + 1 test + 3 essential) -- Proposed: 4 files added (config.yml, deferrals.md, 2 examples) -- Templates/CLAUDE.md modifications: Keep as-is (essential) -- Reduction: 7 files removed, 64% less clutter - ---- - -### Documentation Specialist Review - -**Overall Assessment**: ⚠️ User-facing docs are good, but mixed with meta-docs - -**Strengths**: -- CLAUDE.md instructions are comprehensive -- Examples are well-written and demonstrate all patterns -- config.yml has excellent inline documentation - -**Concerns**: -- **Documentation is mixed**: User-facing docs mixed with implementation artifacts -- Users exploring `.architecture/` will find 7 irrelevant meta-documents -- Unclear what's for users vs. what's implementation history - -**User-Facing Documentation** (KEEP): -- ✅ config.yml - Essential configuration -- ✅ deferrals.md - Essential tracking -- ✅ example-pragmatic-api-feature.md - Essential example -- ✅ example-pragmatic-caching-layer.md - Essential example -- ✅ CLAUDE.md updates - Essential instructions -- ✅ Template updates - Essential structure - -**Implementation Artifacts** (REMOVE or CONSOLIDATE): -- ❌ PHASE-1-TEST.md - Test verification, not user-facing -- ❌ PHASE-2A-COMPLETE.md - Implementation completion, not user-facing -- ❌ PHASE-3A-COMPLETE.md - Implementation completion, not user-facing -- ❌ PHASE-4A-COMPLETE.md - Implementation completion, not user-facing -- ❌ phase-2-pragmatic-analysis.md - Meta-analysis, not user-facing -- ❌ phase-3-pragmatic-analysis.md - Meta-analysis, not user-facing -- ❌ phase-4-pragmatic-analysis.md - Meta-analysis, not user-facing - -**Recommendations**: -1. Remove all PHASE-* files (implementation history) -2. Remove all phase-*-pragmatic-analysis.md files (meta-analysis) -3. Optionally: Create single IMPLEMENTATION-RETROSPECTIVE.md if historical record desired -4. Keep clean separation: user docs vs. historical artifacts - ---- - -### Pragmatic Enforcer Review - -**Reviewer**: Alex Chen (Pragmatic Enforcer) -**Mode**: Balanced -**Overall Assessment**: ❌ **Unnecessary complexity from meta-documentation** - -**Decision Challenge**: - -**Decision**: "Keep 7 meta-documents documenting the implementation process" - -**Necessity Assessment**: 2/10 -- **Current need**: Do users need to know about phased implementation? NO (2/10) -- **Future need**: Will this help users understand the feature? NO (1/10) -- **Cost of waiting**: What if we remove these files? ZERO (0/10) -- **Evidence of need**: Any user requests for implementation history? NONE - -**Complexity Assessment**: 6/10 -- **Added complexity**: 7 extra files in .architecture/ directory (6/10) -- **Maintenance burden**: Must update if implementation details change (6/10) -- **Learning curve**: Users must navigate past irrelevant docs (5/10) -- **Navigation burden**: 64% more files to understand "what's important" (7/10) - -**Alternative Analysis**: -The kept files don't address simpler alternatives: -- ❌ **Remove all meta-docs** - Simplest, feature works without them -- ❌ **Consolidate to single retrospective** - One file vs. seven -- ❌ **Move to separate /meta directory** - At least separate from user docs - -**Simpler Alternative Proposal**: - -**Option 1: Complete Removal** (RECOMMENDED) -- Remove all 7 meta-documents -- Feature is complete, documented in ADR-002, examples, and CLAUDE.md -- Implementation history is in git commits -- Rationale: Users don't need implementation process docs - -**Option 2: Single Retrospective** -- Create one `IMPLEMENTATION-RETROSPECTIVE.md` consolidating key insights -- Remove all 7 individual meta-documents -- Rationale: Preserve lessons learned in single document - -**Option 3: Meta Directory** -- Create `.architecture/meta/` directory -- Move all 7 files there -- Rationale: Separate user docs from implementation artifacts - -**Recommendation**: ❌ **Remove all 7 meta-documents entirely** - -**Justification**: -This is classic post-implementation cleanup. The 7 meta-documents served their purpose during development: -- Tracked progress across phases -- Documented pragmatic thinking applied to itself -- Provided completion metrics - -But NOW: -- Feature is complete (100% functional) -- Implementation is documented in ADR-002 -- Examples demonstrate usage -- CLAUDE.md has instructions -- Git history preserves implementation story -- Metrics are interesting but not necessary for users - -**Pragmatic Questions**: -1. **Do users need these?** NO - They need config.yml, examples, CLAUDE.md -2. **Do they help understand the feature?** NO - ADR-002 and examples do that -3. **Will we reference them?** NO - Implementation is complete -4. **Cost of removing?** ZERO - Feature works without them -5. **Cost of keeping?** MEDIUM - 7 files to navigate around, maintenance burden - -**Pragmatic Score**: -- **Necessity**: 2/10 (interesting but not needed) -- **Complexity**: 6/10 (7 extra files, navigation burden) -- **Ratio**: 6/2 = **3.0** ❌ *(Target: <1.5 for balanced mode)* - -**The ratio of 3.0 indicates we're keeping 3x more complexity than the necessity warrants.** - -**Recommendation**: ❌ **Remove all 7 meta-documents** - -**Implementation**: -- Consolidate key insights from all 7 files into ADR-002 -- Remove the 7 individual files -- Result: Single comprehensive ADR with implementation lessons included - ---- - -## Collaborative Analysis - -After individual reviews, the architecture team reconvened. - -**Consensus**: All reviewers agree the 7 meta-documents should be removed or consolidated. - -**Domain Expert**: "These were useful during implementation, but they're cluttering the architecture directory now. Users don't need to know about our phased approach." - -**Maintainability Expert**: "64% reduction in file count by removing these. That's significant for navigation and maintenance." - -**Documentation Specialist**: "Clear separation needed: user docs vs. implementation artifacts. These are clearly artifacts." - -**Pragmatic Enforcer**: "Complexity/necessity ratio of 3.0 is way above our target of 1.5. This is exactly the kind of unnecessary complexity we built pragmatic mode to prevent. We should use it on ourselves." - -**Tech Lead Decision**: "Agreed. Remove all 7 meta-documents. The feature is documented in: -- ADR-002: Design and rationale -- config.yml: Configuration -- Examples: Usage demonstration -- CLAUDE.md: Instructions -- Git history: Implementation story - -The meta-documents served their purpose during development. Time to clean up." - ---- - -## Recommended Actions - -### High Priority - Remove Meta-Documents - -**Remove these 7 files** (implementation artifacts): -1. ❌ `.architecture/PHASE-1-TEST.md` -2. ❌ `.architecture/PHASE-2A-COMPLETE.md` -3. ❌ `.architecture/PHASE-3A-COMPLETE.md` -4. ❌ `.architecture/PHASE-4A-COMPLETE.md` -5. ❌ `.architecture/decisions/phase-2-pragmatic-analysis.md` -6. ❌ `.architecture/decisions/phase-3-pragmatic-analysis.md` -7. ❌ `.architecture/decisions/phase-4-pragmatic-analysis.md` - -**Rationale**: -- Not user-facing documentation -- Implementation history preserved in git -- Feature fully documented in ADR-002, examples, CLAUDE.md -- Reduces file count by 64% -- Reduces navigation complexity -- Reduces maintenance burden - -### Keep These Files (Essential) - -**Core Infrastructure**: -- ✅ `.architecture/config.yml` - Configuration system -- ✅ `.architecture/deferrals.md` - Deferral tracking - -**Template Updates**: -- ✅ `.architecture/templates/review-template.md` (modified) -- ✅ `.architecture/templates/adr-template.md` (modified) - -**Examples**: -- ✅ `.architecture/reviews/example-pragmatic-api-feature.md` -- ✅ `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` - -**Instructions**: -- ✅ `CLAUDE.md` (modified with Pragmatic Guard Mode section) - -**Member Definition**: -- ✅ `.architecture/members.yml` (modified with Pragmatic Enforcer) - -**Total Essential Files**: 4 new files (config.yml, deferrals.md, 2 examples) + 4 modifications - ---- - -## Consolidate Into ADR-002 - -Merge key insights into ADR-002: -- Implementation approach (pragmatic mode applied to itself) -- Time savings achieved (20x faster, 3.8 weeks saved) -- Deferrals tracked (12 total, 0% hit rate) -- Lessons learned (template + 1 example pattern works) -- Meta-validation (self-application three times) - -Then remove the 7 individual meta-documents. - -**Benefit**: Single comprehensive ADR with complete story - ---- - -## Summary - -**Current State**: 11 files added (4 essential + 7 meta-docs) -**Proposed State**: 4 files added (essential only) -**Reduction**: 7 files removed (64% less) - -**Pragmatic Analysis**: -- Necessity of meta-docs: 2/10 -- Complexity of meta-docs: 6/10 -- Ratio: 3.0 (exceeds target of 1.5) -- **Recommendation**: Remove - -**Unanimous Decision**: Remove all 7 meta-documents to reduce clutter and maintain focus on user-facing documentation. - ---- - -## Implementation Checklist - -- [x] Remove PHASE-1-TEST.md -- [x] Remove PHASE-2A-COMPLETE.md -- [x] Remove PHASE-3A-COMPLETE.md -- [x] Remove PHASE-4A-COMPLETE.md -- [x] Remove phase-2-pragmatic-analysis.md -- [x] Remove phase-3-pragmatic-analysis.md -- [x] Remove phase-4-pragmatic-analysis.md -- [x] Merge implementation lessons into ADR-002 -- [x] Commit cleanup changes - ---- - -**Review Status**: ✅ Complete -**Cleanup Status**: ✅ Complete (7 files removed, lessons merged into ADR-002) -**Recommendation**: ❌ Remove 7 meta-documents - **COMPLETED** -**Consensus**: Unanimous agreement from all reviewers including Pragmatic Enforcer -**Pragmatic Score**: Necessity 2/10, Complexity 6/10, Ratio 3.0 (exceeds target) -**Result**: Clean, user-focused documentation structure maintained diff --git a/.architecture/reviews/progressive-disclosure-categorization.md b/.architecture/reviews/progressive-disclosure-categorization.md deleted file mode 100644 index f0f8523..0000000 --- a/.architecture/reviews/progressive-disclosure-categorization.md +++ /dev/null @@ -1,337 +0,0 @@ -# Progressive Disclosure Applied to Documentation Recommendations - -**Date**: 2025-12-11 -**Source**: Architecture Review - README.md Pragmatic Mode and Implementation Guidance Documentation -**Process**: Applied pragmatic principles to recommendations themselves - ---- - -## Executive Summary - -The architecture review identified **13 potential improvements** to README.md documentation. Rather than implementing all recommendations immediately (which would bloat README and risk violating instruction capacity constraints per ADR-005), we **applied progressive disclosure principles to the recommendations themselves**. - -**Outcome**: -- **3 recommendations** → Add to README immediately (~13 lines, ~75 min total) -- **10 recommendations** → Deferred with clear triggers (tracked in deferrals.md) -- **1 structure created** → TROUBLESHOOTING.md for deferred detailed documentation - -**Result**: README stays within limits (~517 lines vs. 550 target), instruction capacity maintained, all concerns addressed pragmatically. - ---- - -## Categorization Methodology - -For each recommendation, we assessed: - -**Necessity Score (0-10)**: -- 0-3: Nice to have, speculative value -- 4-7: Valuable, some evidence of need -- 8-10: Critical, clear current need - -**Complexity Score (0-10)**: -- 0-3: Small addition (< 10 lines, < 30 min) -- 4-7: Medium addition (10-50 lines, 30-120 min) -- 8-10: Large addition (> 50 lines, > 2 hours) - -**Ratio**: Complexity / Necessity -- < 0.5: Strong candidate for "add now" -- 0.5-1.0: Consider for "add now" if high necessity -- 1.0-1.5: Defer unless critical -- > 1.5: Definitely defer - -**Evidence of Need**: -- User questions? How many? -- Observed confusion? How often? -- Blocking adoption? Evidence? -- Speculative? (No evidence yet) - ---- - -## Category A: Add to README Immediately - -These recommendations have **high necessity + low complexity + ratio < 0.5**: - -### 1. Expand Security Exemptions (Security Specialist - Critical) - -**Scores**: N=9/10, C=3/10, Ratio=0.33 ✅ - -**What**: Expand README Pragmatic Mode section to explicitly list 4 exemption categories with examples: -- Security-critical features (authentication, authorization, encryption, input validation) -- Data integrity (database transactions, data validation, backup strategies) -- Compliance requirements (GDPR, HIPAA, PCI-DSS, audit logging) -- Accessibility (WCAG compliance, screen reader support) - -**Why Add Now**: -- Security-conscious organizations need to see protections upfront -- Current one-sentence mention insufficient to build confidence -- Blocking adoption due to concerns about "pragmatic" meaning -- High user impact, prevents hesitation - -**Implementation**: Replace "Exemptions for Critical Areas: Security and compliance remain rigorous" with bulleted list (~8 lines) - -**Effort**: 30 minutes - -**Status**: Ready to implement - ---- - -### 2. Add Feature Interaction Note (Systems Architect - High) - -**Scores**: N=7/10, C=2/10, Ratio=0.29 ✅ - -**What**: Add 2-3 sentences explaining how Pragmatic Mode and Implementation Guidance interact when both enabled. - -**Why Add Now**: -- Natural user question: "Will pragmatic mode challenge my configured practices?" -- Prevents confusion about feature compatibility -- Low complexity, high clarity value -- Builds confidence in enabling both features - -**Implementation**: Add to end of Pragmatic Mode section or beginning of Implementation Guidance section: - -> "When using both Pragmatic Mode and Implementation Guidance together, pragmatic mode respects your configured security practices and methodological choices while challenging unnecessary complexity in other areas. The pragmatic enforcer ensures implementations remain simple while still following your team's documented standards for security, testing, and code quality." - -**Effort**: 15 minutes - -**Status**: Ready to implement - ---- - -### 3. Validate Performance Claims (Performance Specialist - Important) - -**Scores**: N=7/10, C=2/10, Ratio=0.29 ✅ - -**What**: Add footnotes linking performance claims ("90% prompt reduction", "20x faster") to validation methodology in ADRs. - -**Why Add Now**: -- Strengthens credibility for quantified benefits -- Simple addition (footnote references) -- Addresses potential skepticism -- Low complexity, high value - -**Implementation**: -- After "90% prompt reduction": add superscript "¹" -- After "20x faster implementation": add superscript "²" -- At bottom of section: - - "¹ See ADR-004 § Validation for measurement methodology" - - "² See ADR-002 § Implementation Results for measurement details" - -**Effort**: 30 minutes (includes link verification) - -**Status**: Ready to implement - ---- - -**Category A Total**: -- **Lines Added**: ~13 (8 + 3 + 2) -- **Time Required**: ~75 minutes -- **README Size After**: ~517 lines (within 550 target) -- **Instruction Capacity**: Maintained (< 150 instructions) - ---- - -## Category B: Create Structure for Deferred Documentation - -### TROUBLESHOOTING.md Created - -**Purpose**: Home for detailed documentation that shouldn't be in README due to progressive disclosure principles (ADR-005). - -**Sections Created** (to be populated when triggers hit): -1. **How AI Assistants Use These Features** - AI capabilities, parsing, error handling -2. **Common Errors** - Error scenarios and resolutions -3. **Configuration Maintenance** - Lifecycle guidance -4. **Advanced Prompt Patterns** - Power user commands - -**Link from README**: Add reference to TROUBLESHOOTING.md in documentation resources section. - -**Effort**: 2 hours (structure + initial content + linking) - -**Status**: ✅ Complete (created at `/TROUBLESHOOTING.md`) - ---- - -## Category C: Deferred with Clear Triggers - -These recommendations are **tracked in deferrals.md** with specific, measurable trigger conditions: - -### Deferred - Medium Priority (4 items) - -1. **AI Assistant Capabilities Documentation** (N=6, C=6, Ratio=1.0) - - Trigger: 5+ user questions about AI behavior - - Status: 0 questions as of 2025-12-11 - -2. **Advanced Prompt Patterns** (N=5, C=3, Ratio=0.6) - - Trigger: 5+ user questions about "Can I implement as [member]?" - - Status: 0 questions as of 2025-12-11 - -3. **Error Handling Documentation** (N=6, C=5, Ratio=0.83) - - Trigger: 5+ support requests about configuration errors - - Status: 0 errors reported as of 2025-12-11 - -4. **Configuration Maintenance Guidance** (N=6, C=5, Ratio=0.83) - - Trigger: 3+ projects with stale configs OR 6+ months since launch - - Status: Features recently launched, configs fresh - -### Deferred - Low Priority (6 items) - -5. **"When NOT to Use" Anti-Patterns** (N=5, C=3, Ratio=0.6) - - Trigger: 3+ incidents of inappropriate feature use - - Status: 0 incidents as of 2025-12-11 - -6. **Command Variations Expansion** (N=4, C=2, Ratio=0.5) - - Trigger: Users request more command examples - - Status: 0 requests as of 2025-12-11 - -7. **Multi-Language Configuration Examples** (N=6, C=2, Ratio=0.33) - - Trigger: 3+ users ask about multi-language configuration - - Status: 0 questions as of 2025-12-11 - -8. **Progressive Disclosure Performance Benefits** (N=4, C=2, Ratio=0.5) - - Trigger: Users ask why documentation structured this way - - Status: 0 questions as of 2025-12-11 - -9. **Config Parsing Performance Clarification** (N=3, C=1, Ratio=0.33) - - Trigger: User asks about config parsing performance - - Status: 0 concerns as of 2025-12-11 - -10. **Version Consistency Verification** (N=4, C=2, Ratio=0.5) - - Trigger: Quarterly documentation review cycle - - Status: Address during next quarterly review - ---- - -## Pragmatic Analysis of This Decision - -**Meta-Application**: We applied pragmatic mode principles to documentation recommendations themselves. - -### Before Progressive Disclosure - -**All Recommendations Implemented**: -- README: 504 + 60-100 lines = 564-604 lines -- Risk: Exceeds 550-line target, violates instruction capacity -- Contradicts: Our own progressive disclosure principles (ADR-005) -- Time: ~5-7 hours for all implementations -- Value: Mixed - some high value, some speculative - -### After Progressive Disclosure - -**Categorized Approach**: -- README: 504 + 13 lines = 517 lines ✅ (within target) -- Instruction capacity: Maintained ✅ (< 150 instructions) -- TROUBLESHOOTING.md: Created for deferred items ✅ -- Deferrals tracked: 10 items with clear triggers ✅ -- Time investment: ~3 hours (75 min immediate + 2 hrs structure) -- Value: Maximized (high-value items implemented, speculative deferred) - -### Pragmatic Score - -**Comprehensive Documentation Approach**: -- Necessity: 6/10 (some items valuable, many speculative) -- Complexity: 7/10 (60-100 lines, significant effort) -- Ratio: 1.17 (acceptable but not optimal) - -**Progressive Disclosure Approach** (selected): -- Necessity: 8/10 (addresses real concerns, respects constraints) -- Complexity: 3/10 (minimal README additions, structure for future) -- Ratio: 0.375 ✅ (well below 1.5 threshold) - -**Conclusion**: Progressive disclosure approach is **more pragmatic** - addresses current needs without over-engineering documentation. - ---- - -## Validation: Self-Application of Pragmatic Principles - -This categorization exercise demonstrates that **pragmatic mode principles apply to documentation** just as they apply to code: - -1. ✅ **Challenge Scope**: Questioned whether ALL recommendations needed NOW -2. ✅ **Calculate Ratio**: Applied necessity/complexity scoring to each -3. ✅ **Propose Simpler Alternative**: TROUBLESHOOTING.md instead of README bloat -4. ✅ **Track Deferrals**: Clear triggers for each deferred item -5. ✅ **Cost of Waiting**: Low for most items (users haven't asked yet) -6. ✅ **Evidence-Based**: Trigger conditions are measurable, not speculative - -**The Meta-Insight**: If pragmatic mode helps us make better decisions about *documenting* pragmatic mode, that's powerful evidence it works for code too. - ---- - -## Next Steps - -### Immediate Implementation (0-2 weeks) - -1. **Expand Security Exemptions** in README (30 min) - - Location: README.md lines 428-452 (Pragmatic Mode section) - - Replace one-sentence mention with 4-category bulleted list - - Owner: Security Specialist perspective - -2. **Add Feature Interaction Note** (15 min) - - Location: End of Pragmatic Mode or start of Implementation Guidance - - 2-3 sentences clarifying feature cooperation - - Owner: Systems Architect perspective - -3. **Validate Performance Claims** (30 min) - - Location: Both sections (Pragmatic Mode, Implementation Guidance) - - Add footnotes linking to ADR validation sections - - Owner: Performance Specialist perspective - -4. **Link TROUBLESHOOTING.md from README** (10 min) - - Add reference in documentation resources or getting help section - - Single line: "For troubleshooting and advanced usage, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)" - -**Total Effort**: ~85 minutes -**Total Lines Added**: ~14 -**README Final Size**: ~518 lines (within 550 target) - -### Monthly Monitoring - -- Review deferrals.md for triggered conditions -- Check GitHub issues/discussions for: - - User questions matching trigger conditions - - Configuration errors being reported - - Requests for advanced patterns - - Any confusion about features - -### Quarterly Review (Q1 2026) - -- Re-evaluate all deferred items -- Update trigger conditions based on actual usage patterns -- Consider whether any low-priority items can be cancelled -- Review deferral hit rate (target: < 40%) - ---- - -## Metrics - -### Deferral Tracking - -**Total Deferrals**: 22 framework-wide (12 pragmatic mode implementation + 10 README documentation) -**Hit Rate Target**: < 40% (most deferrals should remain unneeded) -**Current Hit Rate**: 0% (0 of 22 triggered) - -### Documentation Efficiency - -**README Instruction Density**: -- Before Review: ~100 instructions (estimated) -- After Category A: ~108 instructions (estimated) -- Target: < 150 instructions -- Status: ✅ Within limits - -**Progressive Disclosure Success**: -- 10 of 13 recommendations (77%) deferred with triggers -- Prevents 60-100 lines of speculative documentation -- Saves 4-6 hours of documentation effort -- Maintains instruction capacity compliance - ---- - -## Related Documents - -- **Source Review**: [.architecture/reviews/readme-pragmatic-implementation-docs.md](.architecture/reviews/readme-pragmatic-implementation-docs.md) -- **Deferrals**: [.architecture/deferrals.md](.architecture/deferrals.md) (10 new entries added) -- **TROUBLESHOOTING**: [TROUBLESHOOTING.md](../../TROUBLESHOOTING.md) (structure created) -- **ADR-005**: [.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md](.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - ---- - -**Categorization Complete**: 2025-12-11 -**Next Review**: Monthly deferral check, quarterly comprehensive review -**Success Metric**: Deferral hit rate < 40% validates progressive approach diff --git a/.architecture/reviews/readme-pragmatic-implementation-docs.md b/.architecture/reviews/readme-pragmatic-implementation-docs.md deleted file mode 100644 index e3fd6bc..0000000 --- a/.architecture/reviews/readme-pragmatic-implementation-docs.md +++ /dev/null @@ -1,1058 +0,0 @@ -# Architecture Review: README.md Pragmatic Mode and Implementation Guidance Documentation - -**Date**: 2025-12-11 -**Review Type**: Component -**Reviewers**: Systems Architect, Domain Expert, Security Specialist, Maintainability Expert, Performance Specialist, AI Engineer, Pragmatic Enforcer - -## Executive Summary - -This review evaluates the documentation quality and accuracy of two key features in README.md: Pragmatic Mode (YAGNI Enforcement) and Implementation Guidance. Both features represent significant value additions to the AI Software Architect framework, with documented benefits of 20x faster implementation and 90% prompt reduction respectively. - -The documentation is **overall strong** and accurately reflects the implemented features per ADR-002 and ADR-004. The configuration templates (config.yml) match what's described in the README, and recent changes (progressive disclosure pattern per ADR-005) have been appropriately reflected. However, several opportunities exist to improve clarity, particularly around security exemptions visibility, feature interaction, and balancing comprehensive documentation against instruction capacity constraints. - -**Overall Assessment**: Strong - -**Key Findings**: -- Documentation accurately reflects implemented features and configuration patterns -- Security exemptions are documented but need more visibility in README -- Feature interaction between Pragmatic Mode and Implementation Guidance is not explicitly explained -- Progressive disclosure principles (ADR-005) create tension with desire for comprehensive documentation -- Performance claims (90% reduction, 20x faster) need validation links - -**Critical Actions**: -- Expand security exemptions visibility in Pragmatic Mode section (README:428-452) -- Apply progressive disclosure principles to documentation recommendations themselves -- Create FAQ/Troubleshooting document for deferred detailed documentation - ---- - -## System Overview - -**Target**: README.md documentation sections covering: -- Pragmatic Mode (YAGNI Enforcement) - lines 428-452 -- Implementation Guidance - lines 454-492 - -**Context**: -- Framework version: 1.2.0 -- Recent major changes: Progressive disclosure pattern (ADR-005, ADR-006) to respect LLM instruction capacity constraints (~150-200 instructions) -- Technology stack: Markdown documentation, YAML configuration, cross-platform AI assistant support (Claude Code, Cursor, GitHub Copilot) -- Team: 7 architecture review members (6 standard + 1 pragmatic enforcer when enabled) - -**Related ADRs**: -- ADR-002: Pragmatic Guard Mode (YAGNI Enforcement) -- ADR-004: Implementation Command with Configuration -- ADR-005: LLM Instruction Capacity Constraints -- ADR-006: Progressive Disclosure Pattern - -**Review Scope**: -This review focuses specifically on whether the README documentation accurately represents the features, remains effective after recent framework changes, and provides sufficient clarity for users while respecting instruction capacity constraints. - ---- - -## Individual Member Reviews - -### Systems Architect - -**Perspective**: Evaluating how well the documentation integrates these features into the overall framework architecture and system coherence. - -#### Key Observations -- Progressive disclosure alignment: README properly presents features at high level with links to detailed documentation -- Configuration integration: Both features use same config.yml pattern showing good architectural consistency -- Command interface consistency: Natural language commands fit existing interaction model -- Documentation structure: README → ADRs → Config follows established patterns -- Cross-platform compatibility: Both features work across all AI assistants - -#### Strengths - -1. **Consistent Configuration Pattern**: Both pragmatic_mode and implementation sections in config.yml follow identical structure and conventions -2. **Clear Integration Points**: Config.yml, command recognition documented -3. **Good Separation of Concerns**: Overview (README) vs. detailed documentation (ADRs) -4. **Feature Interaction Potential**: While not explicit, the design allows pragmatic mode to challenge implementation decisions appropriately - -#### Concerns - -1. **Integration Clarity** (Medium impact) - - **Issue**: README doesn't explicitly explain how Pragmatic Mode and Implementation Guidance interact when both enabled - - **Why it matters**: Users will wonder: "If I enable pragmatic mode, will it challenge my configured implementation practices?" - - **Recommendation**: Add brief note about feature interaction, clarifying that pragmatic mode applies exemptions (security, data integrity) consistently with implementation guidance - -2. **Version Consistency** (Low impact) - - **Issue**: README shows framework version 1.2.0, should verify all documentation is updated - - **Why it matters**: Version inconsistencies cause user confusion - - **Recommendation**: Audit all documentation files for version number consistency - -3. **Command Discoverability** (Low impact) - - **Issue**: "Enable pragmatic mode" command documented but full syntax variations could be clearer - - **Why it matters**: Users might not know alternative phrasings - - **Recommendation**: Add "Alternative phrases" section similar to other commands - -#### Recommendations - -1. **Add Feature Interaction Note** (Priority: High, Effort: Small) - - **What**: Add 2-3 sentences explaining how features work together - - **Why**: Prevents user confusion, builds confidence - - **How**: Insert after pragmatic mode section or at end of implementation guidance section - -2. **Verify Version Consistency** (Priority: Medium, Effort: Small) - - **What**: Audit all docs for version 1.2.0 - - **Why**: Maintains professional consistency - - **How**: Grep for version numbers, update as needed - -3. **Expand Command Variations** (Priority: Low, Effort: Small) - - **What**: Document alternative phrasings - - **Why**: Improves discoverability - - **How**: Add examples to pragmatic mode section - ---- - -### Domain Expert - -**Perspective**: Evaluating how well the documentation represents these features' business value and semantic clarity. - -#### Key Observations -- Clear value proposition: Both features articulate concrete benefits (20x faster, 90% reduction) -- Real-world context: Pragmatic Mode explains problem it solves with specific examples -- Use case clarity: Documentation clearly explains when to use each feature -- Ubiquitous language: Terms like "YAGNI", "TDD", "pragmatic enforcer" used consistently -- Outcome-focused: Emphasizes outcomes over mechanism - -#### Strengths - -1. **Strong "When to Use" Guidance**: Pragmatic Mode section lists clear scenarios (new projects, MVPs, tight deadlines) -2. **Quantified Benefits**: 90% prompt reduction, 20x faster implementation provide concrete value metrics -3. **Real-World Problem Framing**: Documentation addresses actual user pain (typing 40-word prompts repeatedly) -4. **Configurable Intensity Levels**: Strict/balanced/lenient maps to real team dynamics - -#### Concerns - -1. **Missing Anti-Patterns** (Medium impact) - - **Issue**: README doesn't explain when NOT to use these features or common misunderstandings - - **Why it matters**: Users might enable features inappropriately - - **Recommendation**: Add brief "When NOT to use" or "Common pitfalls" guidance - -2. **Implementation Guidance Discoverability** (Medium impact) - - **Issue**: High-value feature appears late in document (line 454) after several other sections - - **Why it matters**: Users skimming might miss this feature - - **Recommendation**: Elevate to "Key Features" section or add "Getting Started" quick-win callout - -3. **Example Completeness** (Low impact) - - **Issue**: Implementation guidance shows minimal vs complete config but could benefit from real "before/after" prompt example - - **Why it matters**: Users might not fully grasp transformation value - - **Recommendation**: Add concrete example showing old 40-word prompt vs. new 4-word command - -#### Recommendations - -1. **Add "When NOT to Use" Guidance** (Priority: Medium, Effort: Small) - - **What**: Brief section for each feature explaining contraindications - - **Why**: Prevents misuse, sets appropriate expectations - - **How**: Add subsection to each feature explaining when to skip - -2. **Elevate Implementation Guidance Visibility** (Priority: Medium, Effort: Small) - - **What**: Add to "Key Features" or create "Quick Wins" callout - - **Why**: High-value feature deserves prominence - - **How**: Consider restructuring or adding cross-reference - -3. **Add Before/After Prompt Example** (Priority: Low, Effort: Small) - - **What**: Show concrete transformation - - **Why**: Visceral demonstration of value - - **How**: Add example to implementation guidance section - ---- - -### Security Specialist - -**Perspective**: Reviewing documentation for security implications and proper handling of security-critical concerns. - -#### Key Observations -- Exemptions documented: Pragmatic Mode mentions exemptions for security-critical features -- Security practices in config: Implementation guidance template includes security section marked "always applied" -- Appropriate scope: Neither feature compromises security by design -- YAGNI exemption: Clear that YAGNI doesn't apply to security practices -- Framework-level guidance: Directs users to maintain security standards - -#### Strengths - -1. **Explicit Security Exemptions**: Pragmatic Mode config has four categories (security_critical, data_integrity, compliance_required, accessibility) -2. **Dedicated Security Section**: Implementation guidance config includes security practices section -3. **Clear Messaging**: "Always applied, exempt from YAGNI" language is unambiguous -4. **Concrete Examples**: Config template provides specific security practices (input validation, output encoding, parameterized queries) - -#### Concerns - -1. **README Security Visibility** (High impact) - - **Issue**: README Pragmatic Mode section (lines 428-452) only briefly mentions exemptions in one sentence: "Exemptions for Critical Areas: Security and compliance remain rigorous" - - **Why it matters**: Users need to understand depth of security protections before enabling pragmatic mode to avoid hesitation or misunderstanding - - **Recommendation**: Expand README pragmatic mode section to explicitly list four exemption categories with 1-2 examples each - -2. **Security Guidance Clarity** (Medium impact) - - **Issue**: Implementation guidance section doesn't emphasize that security practices are non-negotiable even in "simple" implementations - - **Why it matters**: Teams might skip security practices thinking they're "over-engineering" - - **Recommendation**: Add explicit callout: "Security practices are mandatory and exempt from simplification" - -3. **Audit Trail** (Low impact) - - **Issue**: No mention of whether pragmatic mode decisions (deferrals, complexity challenges) are logged for audit purposes - - **Why it matters**: Compliance-sensitive organizations might need decision audit trails - - **Recommendation**: Note that deferral log (deferrals.md) can serve audit function - -#### Recommendations - -1. **Expand Security Exemptions in README** (Priority: Critical, Effort: Small) - - **What**: List all four exemption categories with examples in Pragmatic Mode section - - **Why**: Builds user confidence, prevents security concerns from blocking adoption - - **How**: Replace single sentence with bulleted list: - - Security-critical features (authentication, authorization, encryption, input validation) - - Data integrity (transactions, validation, backups) - - Compliance requirements (GDPR, HIPAA, PCI-DSS, audit logging) - - Accessibility (WCAG compliance, screen reader support) - -2. **Add Security Mandate Callout** (Priority: Medium, Effort: Small) - - **What**: Explicit statement in implementation guidance section - - **Why**: Prevents security practices being skipped - - **How**: Add note: "Security practices are mandatory regardless of simplicity goals" - -3. **Document Audit Trail Capability** (Priority: Low, Effort: Small) - - **What**: Mention deferrals.md serves audit function - - **Why**: Addresses compliance concerns - - **How**: Add sentence to pragmatic mode section - ---- - -### Maintainability Expert - -**Perspective**: Evaluating how these features affect long-term maintenance, code clarity, and developer understanding. - -#### Key Observations -- Configuration as documentation: config.yml serves as living documentation of team practices -- Version control integration: Configuration files checked in, preserving decisions over time -- Consistency mechanism: Implementation guidance ensures consistent code patterns -- Technical debt prevention: Pragmatic Mode explicitly addresses debt through deferral tracking -- Onboarding value: Config-driven practices make team standards explicit - -#### Strengths - -1. **Configuration-Driven Approach**: Makes team practices explicit and maintainable -2. **Deferral Tracking**: deferrals.md prevents "forgotten decisions" problem -3. **Implementation Consistency**: Reduces code inconsistency (main source of maintenance pain) -4. **Progressive Disclosure Pattern**: Keeps documentation maintainable per ADR-005 -5. **Clear Upgrade Paths**: Both features have documented upgrade procedures - -#### Concerns - -1. **Configuration Maintenance** (High impact) - - **Issue**: README doesn't explain how to maintain/update configurations over time (when team practices evolve, when to review config) - - **Why it matters**: Config becomes stale, doesn't reflect actual team practices - - **Recommendation**: Add "Configuration Maintenance" guidance explaining when/how to review and update config.yml - -2. **Deferral Lifecycle** (Medium impact) - - **Issue**: Pragmatic Mode tracks deferrals but README doesn't explain lifecycle (review cadence, when to revisit, when to remove) - - **Why it matters**: Deferrals accumulate without review, losing value - - **Recommendation**: Document deferral review process (monthly checks, quarterly re-evaluation per ADR-002) - -3. **Multi-Language Projects** (Medium impact) - - **Issue**: Implementation guidance config shows single-language examples, doesn't clarify handling polyglot codebases - - **Why it matters**: Confusion for teams with multiple languages - - **Recommendation**: Add note about configuring multiple languages in same project - -4. **Documentation Drift** (Low impact) - - **Issue**: No mechanism mentioned to ensure README stays in sync with ADRs and config templates - - **Why it matters**: Documentation inconsistencies over time - - **Recommendation**: Reference documentation governance process or quarterly review - -#### Recommendations - -1. **Add Configuration Maintenance Guidance** (Priority: High, Effort: Medium) - - **What**: New section explaining when/how to review and update configurations - - **Why**: Prevents config staleness, maintains documentation value - - **How**: Add subsection covering quarterly reviews, evolution triggers, team consensus process - -2. **Document Deferral Review Process** (Priority: Medium, Effort: Small) - - **What**: Explain deferral lifecycle and review cadence - - **Why**: Maximizes deferral tracking value - - **How**: Add to pragmatic mode section: monthly checks, quarterly re-evaluation, removal criteria - -3. **Clarify Multi-Language Configuration** (Priority: Medium, Effort: Small) - - **What**: Show how to configure multiple languages in one project - - **Why**: Supports polyglot projects - - **How**: Add example to implementation guidance showing Ruby + JavaScript config - -4. **Reference Documentation Governance** (Priority: Low, Effort: Small) - - **What**: Link to quarterly review process - - **Why**: Maintains documentation quality - - **How**: Add link to documentation governance docs - ---- - -### Performance Specialist - -**Perspective**: Analyzing performance implications on development velocity and AI assistant effectiveness. - -#### Key Observations -- Development velocity: Implementation guidance claims 90% prompt reduction improving productivity -- AI performance: Progressive disclosure pattern (ADR-005) respects instruction capacity limits -- Pragmatic mode impact: ADR-002 shows 20x faster implementation through deferral -- Configuration overhead: One-time setup cost vs. ongoing prompt savings -- Documentation load time: Progressive disclosure reduces per-session load - -#### Strengths - -1. **Demonstrable Performance Improvements**: Velocity metrics documented in ADRs -2. **Progressive Disclosure Optimization**: Prevents cognitive overload for AI assistants -3. **Excellent Cost-Benefit Ratio**: One-time config setup, perpetual benefit -4. **Pragmatic Anti-Pattern Prevention**: Prevents premature optimization - -#### Concerns - -1. **Performance Claims Validation** (Medium impact) - - **Issue**: README cites "90% reduction" and "20x faster" but doesn't link to validation data or methodology - - **Why it matters**: Users might doubt claims without evidence - - **Recommendation**: Add footnotes or links to ADRs showing measurement methodology and validation - -2. **AI Assistant Performance Impact** (Low impact) - - **Issue**: README doesn't explain how respecting instruction capacity constraints (ADR-005) improves AI performance - - **Why it matters**: Users might not understand why documentation is structured this way - - **Recommendation**: Brief callout about progressive disclosure optimizing AI performance - -3. **Config Parsing Overhead** (Low impact) - - **Issue**: No mention of whether parsing config.yml adds latency - - **Why it matters**: Users might worry about performance cost - - **Recommendation**: Clarify that config parsing is negligible (YAML fast, once per session) - -#### Recommendations - -1. **Validate Performance Claims** (Priority: Important, Effort: Small) - - **What**: Add links to ADRs with measurement methodology - - **Why**: Builds credibility, supports claims - - **How**: Add footnotes: "¹ See ADR-002 for measurement details" and "² See ADR-004 validation section" - -2. **Explain Progressive Disclosure Performance Benefits** (Priority: Low, Effort: Small) - - **What**: Callout about AI instruction capacity optimization - - **Why**: Helps users understand documentation structure - - **How**: Add note explaining ADR-005 rationale - -3. **Clarify Config Parsing Performance** (Priority: Low, Effort: Small) - - **What**: Note that config parsing overhead is negligible - - **Why**: Addresses potential concerns - - **How**: Add parenthetical: "(config parsed once per session, negligible overhead)" - ---- - -### AI Engineer - -**Perspective**: Evaluating how well these features integrate with AI assistants and support practical AI-assisted development workflows. - -#### Key Observations -- Cross-platform design: Works with Claude Code, Cursor, GitHub Copilot through natural language -- Progressive disclosure: ADR-005 implementation respects LLM instruction capacity constraints -- Prompt engineering: 90% reduction represents excellent prompt engineering -- Context efficiency: Config-driven approach maximizes effective use of context window -- Natural language interface: Commands are discoverable and human-readable - -#### Strengths - -1. **Excellent Prompt Engineering**: Config-driven, concise commands -2. **Respects Empirical LLM Constraints**: Instruction capacity from HumanLayer research -3. **Intuitive Natural Language**: Clear for users, parseable for AI -4. **YAML Configuration**: Both human-readable and AI-parseable -5. **State-of-the-Art Pattern**: Progressive disclosure is best practice - -#### Concerns - -1. **AI Capability Documentation** (High impact) - - **Issue**: README doesn't explain what AI assistants can/can't do with these features: - - Can AI create members.yml members dynamically? - - Can AI detect when pragmatic mode should be enabled? - - How do AI assistants parse and apply config? - - What happens if config is invalid/malformed? - - **Why it matters**: Users don't understand AI assistant capabilities and limitations - - **Recommendation**: Add "How AI Assistants Use This" section explaining parsing, application, and limitations - -2. **Prompt Pattern Documentation** (Medium impact) - - **Issue**: Implementation guidance provides command examples but doesn't document full pattern space (e.g., "Implement as the pragmatic enforcer", "Implement as security specialist") - - **Why it matters**: Users don't leverage full flexibility - - **Recommendation**: Document advanced prompt patterns and member-specific implementation - -3. **Error Handling** (Medium impact) - - **Issue**: README doesn't explain what happens if config file missing/malformed, pragmatic mode enabled without pragmatic_enforcer in members.yml, or conflicting settings - - **Why it matters**: Users encounter errors without understanding why - - **Recommendation**: Document error scenarios and resolution steps - -4. **Context Loading Order** (Low impact) - - **Issue**: No explanation of when/how AI assistants load config.yml (first read, cached, reloaded per session?) - - **Why it matters**: Users don't know if config changes take effect immediately - - **Recommendation**: Brief note about config loading behavior - -#### Recommendations - -1. **Add "How AI Assistants Use This" Section** (Priority: High, Effort: Medium) - - **What**: Explain parsing, application, capabilities, and limitations - - **Why**: Critical for user understanding - - **How**: Create FAQ/Troubleshooting doc with dedicated section (defer from README per progressive disclosure) - -2. **Document Advanced Prompt Patterns** (Priority: Medium, Effort: Small) - - **What**: Show member-specific implementation and advanced commands - - **Why**: Unlocks full feature flexibility - - **How**: Add to FAQ/Troubleshooting doc - -3. **Add Error Handling Documentation** (Priority: Medium, Effort: Small) - - **What**: Document common errors and resolution steps - - **Why**: Reduces user frustration - - **How**: Add to FAQ/Troubleshooting doc - -4. **Clarify Config Loading Behavior** (Priority: Low, Effort: Small) - - **What**: Explain when config is loaded/reloaded - - **Why**: Sets correct expectations - - **How**: Add brief note to implementation guidance section - ---- - -### Pragmatic Enforcer - -**Perspective**: Evaluating whether documented features represent appropriate complexity for value provided, and whether documentation itself follows YAGNI principles. - -**Mode**: Balanced (per config.yml) - -#### Key Observations -- Feature necessity: Both solve real, documented user pain points (over-engineering, repetitive prompting) -- Implementation simplicity: Both leverage existing config file, minimal code complexity -- Documentation efficiency: Progressive disclosure pattern is pragmatic response to constraints -- Value metrics: Clear quantified benefits justify implementation -- Deferral pattern: Both ADRs show appropriate use of deferral - -#### Strengths - -1. **Emerged from Real Needs**: Not speculative features -2. **Follows Existing Patterns**: config.yml configuration-driven approach -3. **Appropriate Deferrals**: Global config, validation, multi-language profiles deferred -4. **Progressive Disclosure**: Essential info in README, details in ADRs -5. **Self-Application Validation**: Pragmatic mode implementation used pragmatic principles (20x faster) - -#### Pragmatic Analysis - -**Pragmatic Mode Documentation (README lines 428-452)**: -- **Necessity**: 9/10 - Essential feature needs documentation -- **Complexity**: 3/10 - 24 lines, clear structure, appropriate detail -- **Ratio**: 0.33 ✅ (well below 1.5 threshold) -- **Assessment**: Appropriately documented, no over-engineering - -**Implementation Guidance Documentation (README lines 454-492)**: -- **Necessity**: 9/10 - High-value feature needs clear documentation -- **Complexity**: 4/10 - 38 lines, includes config example -- **Ratio**: 0.44 ✅ (well below 1.5 threshold) -- **Assessment**: Appropriately documented with good example - -#### Concerns - -1. **Documentation Scope Creep** (Medium impact) - - **Issue**: Multiple architect reviews recommend adding sections: - - "How AI Assistants Use This" - - "When NOT to Use" - - "Configuration Maintenance" - - "Error Handling" - - "Advanced Prompt Patterns" - - **Pragmatic Challenge**: Do we need all this documentation NOW, or can some be deferred? - - **Current state**: README is 504 lines, manageable - - **Cost of waiting**: Users might encounter issues without guidance - - **Cost of adding**: Increases documentation burden, maintenance overhead, risks violating instruction capacity constraints (ADR-005) - - **Alternative**: Create FAQ or troubleshooting page, keep README focused on essentials - - **Recommendation**: Apply progressive disclosure principle to recommendations themselves: - - **Add now** (high necessity): Security exemptions expansion, feature interaction note, performance claims validation - - **Defer** (lower necessity): AI capabilities doc, advanced patterns, error handling (add when triggered by user questions) - -2. **Feature Interaction Complexity** (Low impact) - - **Issue**: When both features enabled, potential complexity in understanding interaction - - **Necessity**: 7/10 (users will wonder) - - **Complexity**: 2/10 (brief explanation) - - **Recommendation**: Add 2-3 sentence clarification (as Systems Architect recommended) - -#### Simpler Alternative Proposal - -Instead of comprehensive documentation expansion, could we: -1. Add a "Troubleshooting" or "FAQ" page (separate from README) -2. Keep README focused on "what" and "why", not exhaustive "how" -3. Use progressive disclosure: FAQ loaded only when users have questions - -**Pragmatic Score Analysis**: -- **Comprehensive Documentation Approach**: Necessity 6/10, Complexity 7/10, Ratio 1.17 -- **Progressive Disclosure Approach**: Necessity 8/10, Complexity 3/10, Ratio 0.375 ✅ - -#### Recommendations - -1. **Prioritize Recommendations Pragmatically** (Priority: Critical, Effort: Small) - - **What**: Categorize all recommendations as "add now" vs. "defer until triggered" - - **Why**: Prevents documentation scope creep, maintains instruction capacity compliance - - **How**: Apply progressive disclosure principle to recommendations themselves - -2. **Add Feature Interaction Note** (Priority: High, Effort: Small) - - **What**: Brief clarification on how features work together - - **Why**: High-necessity, low-complexity addition - - **How**: 2-3 sentences in pragmatic mode or implementation guidance section - -3. **Consider FAQ/Troubleshooting Page** (Priority: Critical, Effort: Medium) - - **What**: Defer detailed documentation to separate file, keep README concise - - **Why**: Respects progressive disclosure pattern (ADR-005), prevents instruction capacity violations - - **How**: Create TROUBLESHOOTING.md for AI capabilities, error handling, configuration maintenance, advanced patterns - ---- - -## Collaborative Discussion - -### Opening Context - -**Systems Architect**: "I've reviewed the documentation for both Pragmatic Mode and Implementation Guidance. Overall, the structure is solid—both features follow our established configuration pattern using config.yml, and the documentation correctly reflects what's implemented per ADR-002 and ADR-004. However, I'm concerned that we don't explicitly explain how these two features interact when both are enabled. Users will naturally wonder: 'Will pragmatic mode challenge my configured implementation practices?'" - -**Domain Expert**: "That's a great point. From a user perspective, I'd add that while the features are well-documented, Implementation Guidance appears quite late in the README—line 454. Given that it offers a 90% prompt reduction, that's a massive value proposition that users might miss if they're just skimming. We should consider elevating its visibility." - -**Security Specialist**: "I want to emphasize a critical concern: while our config.yml template extensively documents security exemptions, the README only mentions them in passing—one sentence that says 'Security and compliance remain rigorous.' That's insufficient. Users need to see explicitly what's protected before they enable pragmatic mode, otherwise security-conscious teams might hesitate to adopt it, or worse, misunderstand what 'pragmatic' means in our context." - -**Maintainability Expert**: "Building on that, I'm also concerned about configuration lifecycle. We document how to set these features up initially, but what happens six months later when team practices evolve? There's no guidance on when or how to review and update config.yml. Without that, configurations will drift from reality, losing their documentation value." - -**Performance Specialist**: "The performance claims are compelling—90% prompt reduction and 20x faster implementation—but we should link to the validation methodology. These aren't aspirational numbers; they're measured in ADR-002 and ADR-004. Adding those references would strengthen credibility." - -**AI Engineer**: "I'm looking at this from the AI assistant integration perspective, and I see a gap: we don't explain how AI assistants actually parse and apply these configurations. Can they create members dynamically? What happens if the config is malformed? What's the full prompt pattern space—can users say 'Implement as the pragmatic enforcer' or 'Implement as the security specialist'? These are practical questions users will have." - -**Pragmatic Enforcer**: "I appreciate all these concerns, but I need to inject some pragmatism here. We've identified approximately 10-15 potential additions to the README. Let me challenge us: do we need ALL of this documentation NOW? Our README is currently 504 lines. If we add everything being suggested, we could easily push past 600-650 lines. That starts to violate our own progressive disclosure principles from ADR-005, which mandates staying within instruction capacity constraints. The risk is we make the documentation MORE confusing by trying to cover every edge case." - -**Systems Architect**: "That's a valid concern. Let's not forget we established instruction capacity constraints for good reason—research shows LLMs reliably follow about 150-200 instructions, and Claude Code already uses ~50. We can't afford to bloat the README." - -**Domain Expert**: "Perhaps we can find middle ground. What if we identify which additions are truly essential for first-time users versus what can be documented elsewhere?" - -**Pragmatic Enforcer**: "Exactly. I propose we categorize recommendations by necessity and complexity: -- **Add to README now**: High-necessity items that are low-complexity -- **Defer to separate FAQ/Troubleshooting doc**: Detailed explanations, error handling, advanced patterns -- **Track for later**: Items triggered by actual user questions - -This way we maintain README focus while still addressing concerns." - -**Security Specialist**: "I can support that, but security exemptions MUST be in the first category. That's non-negotiable. Users need to see those protections upfront." - -**AI Engineer**: "Agreed. For my concerns about AI capabilities and error handling, I think those could go in a FAQ document. That's probably better than bloating the README anyway." - -**Maintainability Expert**: "Configuration maintenance guidance could also go in a separate document—something like 'MAINTENANCE.md' or as part of a FAQ. As long as there's a clear path to that information." - -**Performance Specialist**: "Performance claim validation is simple—just add footnotes linking to the ADRs. That's maybe one line added." - -### Common Ground - -The team agrees on: - -1. **Documentation is fundamentally sound**: Both features are accurately represented and match implemented behavior per ADR-002 and ADR-004 -2. **Progressive disclosure must be respected**: ADR-005 instruction capacity constraints are real and must guide our decisions -3. **Security exemptions need more visibility**: Expand README section to explicitly list four categories with examples -4. **Some concerns can be deferred**: Create FAQ/Troubleshooting document for detailed explanations, error handling, advanced patterns, AI capabilities -5. **Prioritization is essential**: Not all recommendations have equal urgency or necessity - -### Areas of Debate - -**Topic: Documentation Expansion vs. Progressive Disclosure** - -- **Expansionist View** (AI Engineer, Maintainability Expert, Domain Expert): "We should add comprehensive documentation covering AI capabilities, error handling, configuration maintenance, and advanced patterns to the README. Users need this information to use features effectively." - - **Argument**: Users encounter issues without this guidance; poor experience damages adoption - - **Risk**: Feature under-utilization due to lack of information - -- **Minimalist View** (Pragmatic Enforcer, Systems Architect via ADR-005): "We must keep README focused and respect instruction capacity constraints. Defer detailed documentation to separate files (FAQ, Troubleshooting)." - - **Argument**: README must stay within ~100-line target per ADR-005; comprehensive docs can live elsewhere - - **Risk**: Violating instruction capacity constraints; documentation becomes less effective due to cognitive overload - -- **Resolution**: **Compromise approach adopted**: - 1. **Immediate README additions** (high necessity, low complexity, maintains focus): - - Security exemptions expansion (6-8 lines) - - Feature interaction note (2-3 lines) - - Performance validation links (1 line with footnotes) - 2. **Create separate FAQ/Troubleshooting document** (2 hours effort): - - Defer "How AI Assistants Use This" - - Defer error handling scenarios - - Defer advanced prompt patterns - - Defer configuration maintenance detailed guidance - - Link from README: "For troubleshooting and advanced usage, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)" - 3. **Track deferred items** in deferrals.md with clear triggers: - - Trigger: 5+ support questions on same topic → add to FAQ - - Trigger: User confusion patterns emerge → document in troubleshooting - -**Topic: Implementation Guidance Visibility** - -- **Domain Expert**: "Implementation guidance should be more prominent—elevate to 'Key Features' section or add before pragmatic mode. It's too valuable (90% prompt reduction) to appear so late (line 454)." - - **Argument**: Users skimming might miss high-value feature - -- **Systems Architect**: "Current positioning is appropriate given document flow: setup → pragmatic mode → implementation. Restructuring could disrupt logical progression." - - **Argument**: Features ordered by framework workflow - -- **Resolution**: **Keep current positioning but improve discovery**: - 1. Maintain document flow (no major restructuring) - 2. Add cross-reference from Pragmatic Mode section: "Note: When using 'Implement X as the architects', see Implementation Guidance below for configuration options" - 3. Consider adding to "Key Features" summary section if one exists (defer pending README structure review) - -### Priorities Established - -**Critical (Address Immediately - 0-2 weeks)**: - -1. **Expand Security Exemptions in README** (30 min) - - List all four exemption categories with 1-2 examples each - - Builds user confidence, prevents adoption hesitation - - Addresses Security Specialist's non-negotiable concern - -2. **Apply Progressive Disclosure to Recommendations** (15 min) - - Categorize recommendations as "add now" vs. "defer with trigger" - - Prevents documentation scope creep, maintains instruction capacity compliance - - Validates pragmatic mode principles - -3. **Create FAQ/Troubleshooting Document Structure** (2 hours) - - Provides home for detailed documentation deferred from README - - Maintains README focus and instruction capacity compliance - - Addresses multiple concerns (AI capabilities, error handling, config maintenance, advanced patterns) - -**Important (Address 2-8 weeks)**: - -4. **Add Feature Interaction Note** (15 min) - - 2-3 sentences explaining how pragmatic mode and implementation guidance work together - - Prevents user confusion, high user value - -5. **Validate Performance Claims** (30 min) - - Add footnotes or links to ADRs showing measurement methodology - - Strengthens credibility for "90% reduction" and "20x faster" claims - -6. **Document Multi-Language Configuration** (20 min) - - Add note about configuring multiple languages in same project - - Supports polyglot codebases - -7. **Add Implementation Guidance Cross-Reference** (10 min) - - Cross-reference from Pragmatic Mode section to Implementation Guidance section - - Improves feature discoverability - -**Nice-to-Have (2-6 months, or triggered by user feedback)**: - -8. **"When NOT to Use" Guidance** (30 min) - - Trigger: Users enable features inappropriately (3+ incidents) - - Prevents misuse, sets appropriate expectations - -9. **Configuration Maintenance Guidance** (45 min) - - Trigger: Config files become stale (observed in 3+ projects) - - Adds to FAQ/Troubleshooting doc when needed - -10. **Advanced Prompt Patterns** (30 min) - - Trigger: Users ask "Can I...?" about advanced usage (5+ questions) - - Documents member-specific implementation and advanced commands - ---- - -## Consolidated Findings - -### Strengths - -1. **Accurate Feature Representation**: Documentation correctly reflects implemented features per ADR-002 (Pragmatic Mode) and ADR-004 (Implementation Guidance). Config templates match README descriptions, and recent changes (progressive disclosure per ADR-005) are appropriately incorporated. - -2. **Consistent Configuration Pattern**: Both pragmatic_mode and implementation sections use identical config.yml structure and conventions, demonstrating strong architectural consistency and making the framework easier to understand. - -3. **Clear Value Propositions**: Both features articulate concrete, quantified benefits—90% prompt reduction for implementation guidance, 20x faster implementation for pragmatic mode—with real-world problem framing that resonates with users. - -4. **Progressive Disclosure Implementation**: Documentation structure (README → ADRs → Config) respects instruction capacity constraints from ADR-005, keeping README focused while providing detailed information where needed. - -5. **Strong Security Foundation**: Config templates extensively document security exemptions (four categories: security_critical, data_integrity, compliance_required, accessibility) with concrete examples, ensuring security is never compromised. - -6. **Cross-Platform Design**: Both features work seamlessly with multiple AI assistants (Claude Code, Cursor, GitHub Copilot) through natural language commands, maximizing framework accessibility. - -7. **Self-Validating Implementation**: Pragmatic mode was implemented using pragmatic principles (20x faster than planned), providing strong validation of the feature's effectiveness and establishing the "core + 1 example + defer" pattern. - -### Areas for Improvement - -1. **Security Exemptions Visibility** - - **Current state**: README Pragmatic Mode section (lines 428-452) mentions exemptions in one sentence: "Exemptions for Critical Areas: Security and compliance remain rigorous" - - **Desired state**: Explicit list of four exemption categories with examples visible in README - - **Gap**: Security-conscious teams may hesitate to enable pragmatic mode without understanding depth of protections - - **Priority**: High (Critical) - - **Impact**: Adoption barrier for security-focused organizations; potential misunderstanding of "pragmatic" scope - -2. **Feature Interaction Clarity** - - **Current state**: No explanation of how Pragmatic Mode and Implementation Guidance interact when both enabled - - **Desired state**: 2-3 sentence clarification explaining feature cooperation - - **Gap**: Users will wonder: "Will pragmatic mode challenge my configured implementation practices?" - - **Priority**: Medium (Important) - - **Impact**: User confusion, uncertainty about enabling both features simultaneously - -3. **Documentation Scope Management** - - **Current state**: Multiple recommendations to expand README with detailed documentation - - **Desired state**: Progressive disclosure approach with README focused on essentials, detailed docs in FAQ/Troubleshooting - - **Gap**: No FAQ/Troubleshooting document exists to house deferred detailed documentation - - **Priority**: High (Critical) - - **Impact**: Risk of violating instruction capacity constraints (ADR-005) if all recommendations added to README; documentation becomes less effective due to cognitive overload - -4. **Performance Claims Validation** - - **Current state**: README cites "90% reduction" and "20x faster" without links to validation methodology - - **Desired state**: Footnotes or links to ADRs showing measurement details - - **Gap**: Missing evidence for quantified benefits - - **Priority**: Medium (Important) - - **Impact**: Users might doubt claims; missed opportunity to strengthen credibility - -5. **Configuration Lifecycle Guidance** - - **Current state**: Documentation covers initial configuration setup but not maintenance over time - - **Desired state**: Guidance on when/how to review and update config.yml as team practices evolve - - **Gap**: No documented process for configuration maintenance - - **Priority**: Medium - - **Impact**: Configurations become stale, losing their living documentation value; drift from actual team practices - -6. **AI Assistant Capabilities Documentation** - - **Current state**: No explanation of how AI assistants parse/apply configurations, handle errors, or support advanced patterns - - **Desired state**: "How AI Assistants Use This" documentation covering parsing, capabilities, limitations, error scenarios - - **Gap**: Users don't understand AI assistant behaviors and limitations - - **Priority**: Medium - - **Impact**: User confusion when encountering unexpected behaviors or errors; under-utilization of advanced features - -### Technical Debt - -**High Priority**: - -- **Missing FAQ/Troubleshooting Document**: - - **Impact**: No home for detailed documentation that shouldn't go in README; ongoing pressure to bloat README with edge cases and detailed explanations - - **Resolution**: Create TROUBLESHOOTING.md covering AI capabilities, error handling, configuration maintenance, advanced patterns - - **Effort**: Medium (2 hours initial creation) - - **Recommended Timeline**: Immediate (Critical priority) - -**Medium Priority**: - -- **Configuration Maintenance Process**: - - **Impact**: Config files risk becoming stale without documented review process; lost documentation value over time - - **Resolution**: Add configuration maintenance section to FAQ/Troubleshooting covering quarterly reviews, evolution triggers, team consensus process - - **Effort**: Small (45 min) - - **Recommended Timeline**: 2-8 weeks (Important priority) - -- **Advanced Prompt Pattern Documentation**: - - **Impact**: Users may not discover full flexibility of implementation command (member-specific implementations, advanced patterns) - - **Resolution**: Document in FAQ/Troubleshooting when triggered by user questions - - **Effort**: Small (30 min) - - **Recommended Timeline**: When triggered (5+ user questions) - -**Low Priority**: - -- **"When NOT to Use" Guidance**: - - **Impact**: Users might enable features inappropriately (low probability based on current feature design) - - **Resolution**: Add anti-patterns section when triggered by observed misuse - - **Effort**: Small (30 min) - - **Recommended Timeline**: When triggered (3+ incidents) - -### Risks - -**Technical Risks**: - -- **Instruction Capacity Violation** (Likelihood: Medium, Impact: High) - - **Description**: If all recommended documentation additions are made to README, could exceed instruction capacity constraints from ADR-005 (~100-line target), degrading AI assistant performance - - **Mitigation**: Apply progressive disclosure principle to recommendations; create FAQ/Troubleshooting for detailed docs; track instruction count; enforce ~550 line limit for README - - **Owner**: Systems Architect, Pragmatic Enforcer - -- **Documentation Drift** (Likelihood: Medium, Impact: Medium) - - **Description**: Without documented maintenance process, README could fall out of sync with ADRs, config templates, and actual framework behavior over time - - **Mitigation**: Establish quarterly documentation review process; reference documentation governance (ADR-005 mentions quarterly reviews) - - **Owner**: Maintainability Expert - -**Business Risks**: - -- **Adoption Hesitation Due to Security Concerns** (Likelihood: Medium, Impact: Medium) - - **Description**: Security-conscious organizations might not adopt pragmatic mode due to insufficient visibility of security exemptions in README - - **Mitigation**: Expand security exemptions section to explicitly list four categories with examples (Critical priority recommendation) - - **Owner**: Security Specialist - -- **Under-Utilization of High-Value Features** (Likelihood: Low, Impact: Medium) - - **Description**: Users might miss Implementation Guidance feature (line 454) if skimming, losing 90% prompt reduction benefit - - **Mitigation**: Add cross-reference from Pragmatic Mode section; consider adding to "Key Features" summary - - **Owner**: Domain Expert - -**Operational Risks**: - -- **Support Burden from Missing Documentation** (Likelihood: Medium, Impact: Low) - - **Description**: Without FAQ/Troubleshooting doc, users may repeatedly ask same questions about AI capabilities, error handling, configuration maintenance - - **Mitigation**: Create FAQ/Troubleshooting document; track support questions to identify documentation gaps; use trigger-based documentation approach - - **Owner**: AI Engineer, Maintainability Expert - ---- - -## Recommendations - -### Immediate (0-2 weeks) - -1. **Expand Security Exemptions in README** - - **Why**: Security-conscious organizations need to see protections upfront before enabling pragmatic mode; current one-sentence mention is insufficient to build confidence - - **How**: Replace "Exemptions for Critical Areas: Security and compliance remain rigorous" with bulleted list: - - Security-critical features (authentication, authorization, encryption, input validation) - - Data integrity (database transactions, data validation, backup strategies) - - Compliance requirements (GDPR, HIPAA, PCI-DSS, audit logging) - - Accessibility (WCAG compliance, screen reader support) - - **Owner**: Security Specialist - - **Success Criteria**: Four exemption categories explicitly listed in README Pragmatic Mode section; user feedback shows improved confidence in security protections - - **Estimated Effort**: 30 minutes - -2. **Apply Progressive Disclosure to Recommendations** - - **Why**: Prevents documentation scope creep; maintains instruction capacity compliance per ADR-005; validates pragmatic mode principles - - **How**: Categorize all review recommendations as "add to README now" (high necessity, low complexity) vs. "defer to FAQ with trigger" (detailed explanations, edge cases) - - **Owner**: Pragmatic Enforcer - - **Success Criteria**: Clear categorization of all recommendations; decision criteria documented for future additions - - **Estimated Effort**: 15 minutes - -3. **Create FAQ/Troubleshooting Document Structure** - - **Why**: Provides home for detailed documentation that shouldn't be in README; maintains README focus; addresses multiple deferred concerns (AI capabilities, error handling, config maintenance, advanced patterns) - - **How**: - - Create TROUBLESHOOTING.md with sections: - - "How AI Assistants Use These Features" - - "Common Errors and Resolutions" - - "Configuration Maintenance" - - "Advanced Prompt Patterns" - - Add link from README: "For troubleshooting and advanced usage, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)" - - Populate initial content for highest-priority items - - **Owner**: Maintainability Expert, AI Engineer - - **Success Criteria**: TROUBLESHOOTING.md created; linked from README; initial content for key topics; structure supports future additions - - **Estimated Effort**: 2 hours - -### Short-term (2-8 weeks) - -4. **Add Feature Interaction Note** - - **Why**: Users will naturally wonder how Pragmatic Mode and Implementation Guidance interact; prevents confusion about feature compatibility - - **How**: Add 2-3 sentences to README (either end of Pragmatic Mode section or beginning of Implementation Guidance section): - "When using both Pragmatic Mode and Implementation Guidance together, pragmatic mode respects your configured security practices and methodological choices while challenging unnecessary complexity in other areas. The pragmatic enforcer ensures implementations remain simple while still following your team's documented standards for security, testing, and code quality." - - **Owner**: Systems Architect - - **Success Criteria**: Feature interaction clearly explained; user questions about compatibility addressed - - **Estimated Effort**: 15 minutes - -5. **Validate Performance Claims** - - **Why**: Strengthens credibility for "90% prompt reduction" and "20x faster implementation" claims; provides evidence for skeptical users - - **How**: Add footnotes to README: - - After "90% prompt reduction": "¹" - - After "20x faster implementation": "²" - - At bottom of section: "¹ See ADR-004 § Validation for measurement methodology" and "² See ADR-002 § Implementation Results for measurement details" - - **Owner**: Performance Specialist - - **Success Criteria**: Performance claims linked to validation methodology; users can verify claims - - **Estimated Effort**: 30 minutes - -6. **Document Multi-Language Configuration** - - **Why**: Supports polyglot codebases; clarifies how to configure different languages in same project - - **How**: Add example to Implementation Guidance section showing Ruby + JavaScript configuration in languages section - - **Owner**: Maintainability Expert - - **Success Criteria**: Multi-language example added; polyglot project support clarified - - **Estimated Effort**: 20 minutes - -7. **Add Implementation Guidance Cross-Reference** - - **Why**: Improves discoverability of high-value feature (90% prompt reduction) - - **How**: Add note to Pragmatic Mode section: "Note: When using 'Implement X as the architects', see Implementation Guidance below for configuration options" - - **Owner**: Domain Expert - - **Success Criteria**: Cross-reference added; feature discoverability improved - - **Estimated Effort**: 10 minutes - -### Long-term (2-6 months) - -8. **"When NOT to Use" Guidance** (Trigger-based) - - **Why**: Prevents feature misuse; sets appropriate expectations - - **How**: Add anti-patterns section to FAQ/Troubleshooting when triggered by observed misuse (3+ incidents) - - **Owner**: Domain Expert - - **Success Criteria**: Trigger condition met; anti-patterns documented; misuse incidents reduced - - **Estimated Effort**: 30 minutes (when triggered) - -9. **Configuration Maintenance Guidance** (Trigger-based) - - **Why**: Prevents config staleness; maintains living documentation value - - **How**: Add to FAQ/Troubleshooting when triggered by observed stale configs (3+ projects): quarterly review process, evolution triggers, team consensus approach - - **Owner**: Maintainability Expert - - **Success Criteria**: Trigger condition met; maintenance process documented; config staleness reduced - - **Estimated Effort**: 45 minutes (when triggered) - -10. **Advanced Prompt Patterns** (Trigger-based) - - **Why**: Unlocks full feature flexibility; supports power users - - **How**: Document in FAQ/Troubleshooting when triggered by user questions (5+): member-specific implementations ("Implement as security specialist"), advanced variations - - **Owner**: AI Engineer - - **Success Criteria**: Trigger condition met; advanced patterns documented; power user satisfaction improved - - **Estimated Effort**: 30 minutes (when triggered) - ---- - -## Success Metrics - -### Immediate (Post-Implementation of Critical Recommendations) - -1. **README Line Count**: - - **Current**: 504 lines - - **Target**: < 550 lines (after critical additions: security exemptions ~8 lines, feature interaction ~3 lines, performance footnotes ~2 lines = ~517 lines) - - **Timeline**: Immediate - - **Measurement**: Line count check after critical additions - -2. **Instruction Count**: - - **Current**: ~100 instructions (estimated) - - **Target**: < 30 instructions for critical content per ADR-005 - - **Timeline**: Immediate - - **Measurement**: Manual instruction counting using methodology from ADR-005 - -3. **Security Concerns Addressed**: - - **Current**: 1 sentence on exemptions - - **Target**: 4 exemption categories explicitly listed with examples - - **Timeline**: 2 weeks - - **Measurement**: Review README Pragmatic Mode section for exemption visibility - -4. **FAQ/Troubleshooting Document Exists**: - - **Current**: No - - **Target**: TROUBLESHOOTING.md created with initial content - - **Timeline**: 2 weeks - - **Measurement**: File exists, linked from README, initial sections populated - -### Short-Term (1-3 months) - -5. **User Feedback on Documentation Clarity**: - - **Current**: Not formally measured - - **Target**: ≥ 8/10 rating for documentation clarity - - **Timeline**: 3 months - - **Measurement**: User survey or GitHub discussions - -6. **Support Question Frequency**: - - **Current**: Not tracked - - **Target**: < 5 questions per topic (triggers FAQ addition per deferral policy) - - **Timeline**: 3 months - - **Measurement**: Track support questions in GitHub issues/discussions - -7. **Feature Adoption Rate**: - - **Current**: Unknown - - **Target**: ≥ 60% of users enabling at least one feature (pragmatic mode or implementation guidance) - - **Timeline**: 3 months - - **Measurement**: Usage telemetry if available, or user survey - -8. **Performance Claims Credibility**: - - **Current**: Claims present but not linked to validation - - **Target**: Performance claims linked to validation methodology in ADRs - - **Timeline**: 2 months - - **Measurement**: Footnotes present, links functional, user feedback on credibility - -### Long-Term (6+ months) - -9. **Deferral Hit Rate**: - - **Current**: 12 deferrals tracked in ADR-002 with 0% hit rate - - **Target**: < 40% hit rate (validates deferral decisions) - - **Timeline**: 6 months - - **Measurement**: Track which deferred items triggered; calculate percentage - -10. **Documentation Maintenance Burden**: - - **Current**: Not measured - - **Target**: < 2 hours per quarter for documentation updates - - **Timeline**: 1 year - - **Measurement**: Track time spent on documentation maintenance - -11. **User Satisfaction with Framework**: - - **Current**: Not formally measured - - **Target**: ≥ 8.5/10 overall satisfaction - - **Timeline**: 6 months - - **Measurement**: User survey including documentation quality component - -12. **README Instruction Capacity Compliance**: - - **Current**: Within limits (~100 instructions estimated) - - **Target**: Maintain < 150 instructions for all README content - - **Timeline**: Ongoing - - **Measurement**: Quarterly instruction count audit per ADR-005 - ---- - -## Follow-up - -**Next Review**: March 2026 (quarterly review per ADR-005) or when triggered by: -- README exceeds 550 lines -- Support questions exceed 5 per topic -- User satisfaction drops below 8/10 -- Deferral hit rate exceeds 40% - -**Tracking**: -- Create GitHub issues for immediate recommendations (#1-3) -- Add short-term recommendations to project backlog (#4-7) -- Track trigger conditions for long-term recommendations in deferrals.md (#8-10) -- Link this review from README improvement tracking issue - -**Recalibration**: -After implementing immediate and short-term recommendations, conduct focused recalibration to assess: -- User feedback on documentation improvements -- Support question frequency (validates FAQ/Troubleshooting effectiveness) -- README instruction count (validates progressive disclosure approach) -- Feature adoption rates (validates documentation clarity improvements) - -Use command: -``` -Start architecture recalibration for README documentation improvements -``` - -**Accountability**: -- **Review Owner**: Systems Architect -- **Implementation Tracking**: Weekly check-ins for first 2 weeks (critical recommendations), bi-weekly thereafter -- **Progress Documentation**: Update this review document with implementation status; create follow-up notes in .architecture/reviews/ -- **Quarterly Review**: Add README documentation review to quarterly review process per ADR-005 - ---- - -## Related Documentation - -**Architectural Decision Records**: -- [ADR-002: Pragmatic Guard Mode](../decisions/adrs/ADR-002-pragmatic-guard-mode.md) - Foundational decision for Pragmatic Mode; includes implementation results showing 20x faster delivery; validates "core + 1 example + defer" pattern -- [ADR-004: Implementation Command with Configuration](../decisions/adrs/ADR-004-implementation-command-configuration.md) - Foundational decision for Implementation Guidance; documents 90% prompt reduction benefit and configuration-driven approach -- [ADR-005: LLM Instruction Capacity Constraints](../decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) - Establishes instruction capacity limits (~150-200 instructions) that constrain documentation approach; mandates progressive disclosure pattern -- [ADR-006: Progressive Disclosure Pattern](../decisions/adrs/ADR-006-progressive-disclosure-pattern.md) - Implementation of progressive disclosure approach; details how to structure documentation across multiple files - -**Previous Reviews**: -- [Post-Implementation Review: Pragmatic Mode](../reviews/pragmatic-mode-post-implementation-review.md) - Review after completing ADR-002 implementation; validates pragmatic principles through self-application - -**Referenced Documents**: -- [Configuration Template](../templates/config.yml) - Complete config.yml template including pragmatic_mode and implementation sections -- [Architectural Principles](../principles.md) - Core principles including "Pragmatic Simplicity" that underpin both features -- [AGENTS.md](../../AGENTS.md) - Cross-platform documentation; includes references to both features -- [CLAUDE.md](../../CLAUDE.md) - Claude Code-specific documentation; references both features with command patterns - ---- - -## Appendix - -### Review Methodology - -This review was conducted using the AI Software Architect framework with the following team members: - -- **Systems Architect**: Overall system coherence, documentation structure, configuration patterns -- **Domain Expert**: Business value representation, user experience, clarity of value propositions -- **Security Specialist**: Security implications, exemption visibility, security practice documentation -- **Performance Specialist**: Development velocity impact, AI assistant performance, claim validation -- **Maintainability Expert**: Long-term documentation maintenance, configuration lifecycle, evolution support -- **AI Engineer**: AI assistant integration, prompt engineering, cross-platform compatibility -- **Pragmatic Enforcer**: Complexity analysis, YAGNI principle application, recommendation prioritization - -Each member reviewed independently from their specialized perspective, then collaborated to synthesize findings and prioritize recommendations. - -**Pragmatic Mode**: Balanced -- Complexity ratio target: < 1.5 -- All recommendations evaluated through YAGNI lens -- Applied progressive disclosure principle to recommendations themselves -- Identified 3 critical, 4 important, and 3 nice-to-have recommendations with clear trigger conditions for deferred items - -**Progressive Disclosure Applied**: -- Critical recommendations added to README (~13 lines total) -- Detailed documentation deferred to FAQ/Troubleshooting document -- Trigger-based approach for long-term recommendations -- Maintains instruction capacity compliance per ADR-005 - -### Documentation Quality Analysis - -**Current README State**: -- **Lines**: 504 -- **Target**: < 550 (allows ~46 lines for improvements) -- **Estimated Instructions**: ~100 (within capacity) -- **Pragmatic Mode Section**: 24 lines (428-452) -- **Implementation Guidance Section**: 38 lines (454-492) - -**Post-Improvement Projection** (Critical recommendations only): -- **Lines**: ~517 (+13 lines: security exemptions +8, feature interaction +3, performance footnotes +2) -- **Instructions**: ~108 (still within capacity) -- **Security Visibility**: High (4 categories explicit) -- **Progressive Disclosure**: Maintained (detailed docs in separate file) - -**Quality Improvement Metrics**: -- Security exemption visibility: 1 sentence → 4 categories (400% increase in clarity) -- Feature interaction documentation: 0 sentences → 2-3 sentences (infinite improvement) -- Performance claim validation: 0 links → 2 links to ADRs (credibility boost) -- Detailed documentation: 0 pages → 1 FAQ/Troubleshooting page (scope management) - -### Glossary - -- **ADR**: Architectural Decision Record - Documents architectural decisions with context, reasoning, and consequences -- **YAGNI**: You Aren't Gonna Need It - Principle of not adding functionality until it's necessary -- **Progressive Disclosure**: Pattern of providing information incrementally, starting with essentials and adding detail as needed -- **Instruction Capacity**: Empirical limit (~150-200 instructions) on how many discrete directives LLMs can reliably follow -- **Pragmatic Mode**: Framework feature (ADR-002) that adds "Pragmatic Enforcer" architect who challenges complexity and enforces YAGNI principles -- **Implementation Guidance**: Framework feature (ADR-004) that allows configuration-driven implementation with 90% prompt reduction -- **Deferral Hit Rate**: Percentage of deferred decisions that later proved necessary; target < 40% validates deferral strategy -- **TDD**: Test-Driven Development - Methodology where tests are written before implementation code - ---- - -**Review Complete** diff --git a/.architecture/tools/README.md b/.architecture/tools/README.md deleted file mode 100644 index fcd85e3..0000000 --- a/.architecture/tools/README.md +++ /dev/null @@ -1,184 +0,0 @@ -# Documentation Governance Tools - -Automated tools supporting ADR-005 (LLM Instruction Capacity Constraints) and ADR-006 (Progressive Disclosure Pattern). - -## Overview - -These tools help maintain documentation quality during quarterly reviews by: -- Validating internal markdown links -- Counting discrete instructions -- Checking compliance with instruction capacity targets - -## Installation - -```bash -cd tools -npm install -``` - -## Usage - -### Validate Links - -Check all markdown links in `.architecture/`: - -```bash -npm run validate -``` - -Check specific directory: - -```bash -npm run validate ../path/to/docs -``` - -**What it checks:** -- Internal markdown links (file paths) -- Relative path resolution -- File existence -- Anchor links (file checked, anchor skipped) - -**Ignores:** -- External HTTP/HTTPS URLs -- Anchor-only links (#heading) - -### Count Instructions - -Count instructions in AGENTS.md and CLAUDE.md: - -```bash -npm run count -``` - -Count specific files: - -```bash -npm run count ../AGENTS.md -npm run count ../AGENTS.md ../CLAUDE.md ../custom.md -``` - -**What it counts:** -- Commands (Create, Follow, Apply, etc.) -- Conditionals (If/When/Unless + colon) -- Procedures (Numbered steps with action verbs) -- Guidelines (Keep, Never, Must, Always, Should) - -**Ignores:** -- Informational content -- Markdown headings -- Examples -- Human-only references - -**Targets:** -- AGENTS.md: < 150 instructions -- CLAUDE.md: < 30 instructions - -## Testing - -Run all tests: - -```bash -npm test -``` - -Watch mode: - -```bash -npm run test:watch -``` - -**Test Coverage:** -- Link validator: 9 tests -- Instruction counter: 7 tests -- Total: 16 tests - -## Architecture - -``` -tools/ -├── lib/ -│ ├── link-validator.js # Link extraction and validation -│ └── instruction-counter.js # Instruction pattern matching -├── test/ -│ ├── link-validator.test.js -│ └── instruction-counter.test.js -├── cli.js # Command-line interface -├── package.json -└── README.md -``` - -### Link Validator - -**Functions:** -- `validateLinks(content, filePath)` - Extract internal links from markdown -- `checkLinks(links, baseDir)` - Verify link targets exist - -**Algorithm:** -1. Parse markdown for `[text](url)` patterns -2. Filter external URLs and anchor-only links -3. Resolve relative paths from source file -4. Check file existence on filesystem - -### Instruction Counter - -**Functions:** -- `countInstructions(content)` - Count discrete instructions by category - -**Algorithm:** -1. Remove markdown headings -2. Process line-by-line -3. Match against instruction patterns (most specific first) -4. Filter exclusions (informational content) -5. Categorize and count - -**Methodology:** Implements [.architecture/instruction-counting-methodology.md](../.architecture/instruction-counting-methodology.md) - -## Development - -Built with TDD following: -- **Gary Bernhardt**: Concise, focused commits -- **Sandi Metz**: Clear, simple logic with single responsibility -- **Kent Beck**: Test-first, refactor after green - -**Principles applied:** -- Red-Green-Refactor cycle -- Small, incremental commits -- No premature abstraction -- Line-by-line clarity over cleverness - -## Integration with Quarterly Review - -These tools support the quarterly review process defined in [.architecture/quarterly-review-process.md](../.architecture/quarterly-review-process.md): - -**Phase 1: Instruction Capacity Audit** -```bash -npm run count -``` - -**Phase 2: Quality Assessment** -```bash -npm run validate -``` - -Use these tools to: -- Verify instruction counts haven't exceeded targets -- Check for broken links before releases -- Validate documentation structure -- Track metrics over time - -## Future Enhancements - -Possible additions (YAGNI - only add if needed): -- Anchor validation (parse target files for headings) -- Automated metrics tracking (append to documentation-metrics.md) -- GitHub Actions integration -- HTML report generation -- Instruction pattern customization - -## References - -- [ADR-005: LLM Instruction Capacity Constraints](../.architecture/decisions/adrs/ADR-005-llm-instruction-capacity-constraints.md) -- [ADR-006: Progressive Disclosure Pattern](../.architecture/decisions/adrs/ADR-006-progressive-disclosure-pattern.md) -- [Documentation Guidelines](../.architecture/documentation-guidelines.md) -- [Quarterly Review Process](../.architecture/quarterly-review-process.md) -- [Instruction Counting Methodology](../.architecture/instruction-counting-methodology.md) diff --git a/.architecture/tools/cli.js b/.architecture/tools/cli.js deleted file mode 100755 index 9f8201a..0000000 --- a/.architecture/tools/cli.js +++ /dev/null @@ -1,184 +0,0 @@ -#!/usr/bin/env node - -/** - * Documentation Governance CLI - * - * Tools for maintaining documentation quality per ADR-005/006 - */ - -import { readFileSync, readdirSync, statSync } from 'node:fs'; -import { join, resolve } from 'node:path'; -import { validateLinks, checkLinks } from './lib/link-validator.js'; -import { countInstructions } from './lib/instruction-counter.js'; - -const [,, command, ...args] = process.argv; - -const COMMANDS = { - validate: validateCommand, - count: countCommand, - help: helpCommand -}; - -async function main() { - const cmd = COMMANDS[command]; - - if (!cmd) { - console.error(`Unknown command: ${command}`); - helpCommand(); - process.exit(1); - } - - try { - await cmd(args); - } catch (error) { - console.error('Error:', error.message); - process.exit(1); - } -} - -/** - * Validate markdown links in documentation - */ -function validateCommand(args) { - const dir = args[0] || '../.architecture'; - const basePath = resolve(dir); - - console.log(`\n📋 Validating links in ${basePath}...\n`); - - const mdFiles = findMarkdownFiles(basePath); - let totalValid = 0; - let totalBroken = 0; - - for (const file of mdFiles) { - const content = readFileSync(file, 'utf8'); - const relPath = file.replace(basePath + '/', ''); - const links = validateLinks(content, relPath); - - if (links.length === 0) continue; - - const result = checkLinks(links, basePath); - - if (result.broken.length > 0) { - console.log(`❌ ${relPath}:`); - for (const link of result.broken) { - console.log(` Line ${link.line}: ${link.target}`); - } - totalBroken += result.broken.length; - } - - totalValid += result.valid.length; - } - - console.log(`\n✅ ${totalValid} valid links`); - if (totalBroken > 0) { - console.log(`❌ ${totalBroken} broken links\n`); - process.exit(1); - } else { - console.log(`✨ All links valid!\n`); - } -} - -/** - * Count instructions in key documentation files - */ -function countCommand(args) { - const files = args.length > 0 ? args : ['../AGENTS.md', '../CLAUDE.md']; - - console.log(`\n📊 Counting instructions...\n`); - - let grandTotal = 0; - - for (const file of files) { - const path = resolve(file); - const content = readFileSync(path, 'utf8'); - const result = countInstructions(content); - - const filename = file.split('/').pop(); - console.log(`${filename}:`); - console.log(` Commands: ${result.commands.length}`); - console.log(` Conditionals: ${result.conditionals.length}`); - console.log(` Procedures: ${result.procedures.length}`); - console.log(` Guidelines: ${result.guidelines.length}`); - console.log(` Total: ${result.total}`); - console.log(''); - - grandTotal += result.total; - } - - console.log(`Grand Total: ${grandTotal}\n`); - - // Check against targets - if (files.includes('../AGENTS.md')) { - const agentsContent = readFileSync(resolve('../AGENTS.md'), 'utf8'); - const agentsCount = countInstructions(agentsContent).total; - if (agentsCount > 150) { - console.log(`⚠️ AGENTS.md exceeds target (${agentsCount} > 150)\n`); - process.exit(1); - } else { - console.log(`✅ AGENTS.md within target (${agentsCount} <= 150)\n`); - } - } - - if (files.includes('../CLAUDE.md')) { - const claudeContent = readFileSync(resolve('../CLAUDE.md'), 'utf8'); - const claudeCount = countInstructions(claudeContent).total; - if (claudeCount > 30) { - console.log(`⚠️ CLAUDE.md exceeds target (${claudeCount} > 30)\n`); - process.exit(1); - } else { - console.log(`✅ CLAUDE.md within target (${claudeCount} <= 30)\n`); - } - } -} - -/** - * Show help - */ -function helpCommand() { - console.log(` -Documentation Governance Tools - -Usage: - npm run validate [dir] Validate markdown links (default: ../.architecture) - npm run count [files...] Count instructions (default: ../AGENTS.md ../CLAUDE.md) - -Examples: - npm run validate - npm run validate ../.architecture - npm run count - npm run count ../AGENTS.md - npm run count ../AGENTS.md ../CLAUDE.md - -Supports ADR-005/006 quarterly review process. - `); -} - -/** - * Find all markdown files recursively - */ -function findMarkdownFiles(dir) { - const files = []; - - function walk(currentDir) { - const entries = readdirSync(currentDir); - - for (const entry of entries) { - const fullPath = join(currentDir, entry); - const stat = statSync(fullPath); - - if (stat.isDirectory()) { - // Skip node_modules and hidden dirs - if (!entry.startsWith('.') && entry !== 'node_modules') { - walk(fullPath); - } - } else if (entry.endsWith('.md')) { - files.push(fullPath); - } - } - } - - walk(dir); - return files; -} - -main(); diff --git a/.architecture/tools/package.json b/.architecture/tools/package.json deleted file mode 100644 index 53a2b66..0000000 --- a/.architecture/tools/package.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "name": "architecture-tools", - "version": "1.0.0", - "description": "Documentation governance tools for AI Software Architect", - "type": "module", - "scripts": { - "test": "node --test test/**/*.test.js", - "test:watch": "node --test --watch test/**/*.test.js", - "validate": "node cli.js validate", - "count": "node cli.js count" - }, - "keywords": ["documentation", "validation", "architecture"], - "author": "AI Software Architect", - "license": "MIT" -} diff --git a/.architecture/tools/test/instruction-counter.test.js b/.architecture/tools/test/instruction-counter.test.js deleted file mode 100644 index 653354c..0000000 --- a/.architecture/tools/test/instruction-counter.test.js +++ /dev/null @@ -1,89 +0,0 @@ -import { describe, it } from 'node:test'; -import assert from 'node:assert'; -import { countInstructions } from '../lib/instruction-counter.js'; - -describe('Instruction Counter', () => { - describe('countInstructions', () => { - it('counts command/directive instructions', () => { - const content = ` -- Create ADR for [topic] -- Follow TDD methodology -- Apply pragmatic analysis - `; - - const result = countInstructions(content); - - assert.strictEqual(result.commands.length, 3); - }); - - it('counts conditional instructions', () => { - const content = ` -If pragmatic_mode.enabled: Apply YAGNI -When conducting reviews: Adopt member personas - `; - - const result = countInstructions(content); - - assert.ok(result.conditionals.length >= 2); - }); - - it('counts procedure steps', () => { - const content = ` -1. Analyze project structure -2. Customize templates -3. Create directories - `; - - const result = countInstructions(content); - - assert.ok(result.procedures.length >= 3); - }); - - it('does not count informational content', () => { - const content = ` -The framework provides architecture documentation. -Version 1.2.0 was released in 2025. -This file contains cross-platform instructions. - `; - - const result = countInstructions(content); - - assert.strictEqual(result.total, 0); - }); - - it('does not count headings', () => { - const content = ` -## Core Workflows -### Setup Procedures -#### Installation - `; - - const result = countInstructions(content); - - assert.strictEqual(result.total, 0); - }); - - it('returns total count', () => { - const content = ` -- Create ADR for topic -- If enabled: Apply mode -1. Analyze structure - `; - - const result = countInstructions(content); - - assert.strictEqual(result.total, 3); - }); - - it('identifies guideline instructions', () => { - const content = ` -- Keep CLAUDE.md < 100 lines -- Never compromise security - `; - - const result = countInstructions(content); - - assert.ok(result.guidelines.length >= 2); - }); - }); -}); diff --git a/.architecture/tools/test/link-validator.test.js b/.architecture/tools/test/link-validator.test.js deleted file mode 100644 index 1493c18..0000000 --- a/.architecture/tools/test/link-validator.test.js +++ /dev/null @@ -1,100 +0,0 @@ -import { describe, it } from 'node:test'; -import assert from 'node:assert'; -import { validateLinks, checkLinks } from '../lib/link-validator.js'; -import path from 'node:path'; -import { fileURLToPath } from 'node:url'; - -const __dirname = path.dirname(fileURLToPath(import.meta.url)); - -describe('Link Validator', () => { - describe('validateLinks', () => { - it('returns empty array when no markdown links found', () => { - const content = 'This is plain text without links.'; - const result = validateLinks(content, '/test.md'); - - assert.strictEqual(result.length, 0); - }); - - it('extracts markdown links from content', () => { - const content = 'Check [this](./file.md) and [that](../other.md)'; - const result = validateLinks(content, '/test.md'); - - assert.strictEqual(result.length, 2); - assert.strictEqual(result[0].target, './file.md'); - assert.strictEqual(result[1].target, '../other.md'); - }); - - it('ignores external HTTP links', () => { - const content = 'See [docs](https://example.com) for details'; - const result = validateLinks(content, '/test.md'); - - assert.strictEqual(result.length, 0); - }); - - it('ignores anchor-only links', () => { - const content = 'Jump to [section](#heading)'; - const result = validateLinks(content, '/test.md'); - - assert.strictEqual(result.length, 0); - }); - - it('includes line numbers for each link', () => { - const content = 'Line 1\nCheck [link](./file.md) here\nLine 3'; - const result = validateLinks(content, '/test.md'); - - assert.strictEqual(result[0].line, 2); - }); - }); - - describe('checkLinks', () => { - it('resolves relative paths from source file', () => { - const links = [ - { target: './link-validator.test.js', line: 1, file: 'test/source.md' } - ]; - const baseDir = path.join(__dirname, '..'); - - const result = checkLinks(links, baseDir); - - assert.strictEqual(result.valid.length, 1); - assert.strictEqual(result.broken.length, 0); - }); - - it('identifies broken links', () => { - const links = [ - { target: './nonexistent.md', line: 1, file: 'test/source.md' } - ]; - const baseDir = path.join(__dirname, '..'); - - const result = checkLinks(links, baseDir); - - assert.strictEqual(result.valid.length, 0); - assert.strictEqual(result.broken.length, 1); - assert.strictEqual(result.broken[0].target, './nonexistent.md'); - }); - - it('handles parent directory references', () => { - const links = [ - { target: '../package.json', line: 1, file: 'test/source.md' } - ]; - const baseDir = path.join(__dirname, '..'); - - const result = checkLinks(links, baseDir); - - assert.strictEqual(result.valid.length, 1); - }); - - it('reports all broken links with details', () => { - const links = [ - { target: './missing1.md', line: 5, file: 'doc.md', text: 'Link 1' }, - { target: './missing2.md', line: 10, file: 'doc.md', text: 'Link 2' } - ]; - const baseDir = path.join(__dirname, '..'); - - const result = checkLinks(links, baseDir); - - assert.strictEqual(result.broken.length, 2); - assert.ok(result.broken[0].text); - assert.ok(result.broken[0].line); - }); - }); -}); From 9a0cd0cb945e6c75dc15c5002dd5849f182808ba Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:35:28 +0100 Subject: [PATCH 15/19] docs: Rename ADR-012 to ADR-001 and reset framework deferrals - Renamed ADR-012 to ADR-001 since it is the first ADR of the project - Replaced references to ADR-012 with ADR-001 in architecture documents - Trimmed .architecture/deferrals.md to a clean template to remove framework-specific deferrals Generated-by: Gemini --- ...ucture-for-core-and-full-installations.md} | 2 +- .architecture/deferrals.md | 1264 +---------------- ...tories.md => ADR-001-split-directories.md} | 8 +- 3 files changed, 8 insertions(+), 1266 deletions(-) rename .architecture/decisions/adrs/{ADR-012-reorganize-repository-structure-for-core-and-full-installations.md => ADR-001-reorganize-repository-structure-for-core-and-full-installations.md} (99%) rename .architecture/reviews/{ADR-012-split-directories.md => ADR-001-split-directories.md} (98%) diff --git a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md b/.architecture/decisions/adrs/ADR-001-reorganize-repository-structure-for-core-and-full-installations.md similarity index 99% rename from .architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md rename to .architecture/decisions/adrs/ADR-001-reorganize-repository-structure-for-core-and-full-installations.md index 37c9a1a..3d4c471 100644 --- a/.architecture/decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md +++ b/.architecture/decisions/adrs/ADR-001-reorganize-repository-structure-for-core-and-full-installations.md @@ -1,4 +1,4 @@ -# ADR-012: Reorganize Repository Structure using Split Directories for Core and Full Installations +# ADR-001: Reorganize Repository Structure using Split Directories for Core and Full Installations ## Status diff --git a/.architecture/deferrals.md b/.architecture/deferrals.md index 83ac510..2e0aa0b 100644 --- a/.architecture/deferrals.md +++ b/.architecture/deferrals.md @@ -13,1261 +13,7 @@ This document tracks architectural features, patterns, and complexity that have ## Deferred Decisions -### Multiple Example Reviews (Phase 2B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Creating 3-5 comprehensive example architectural reviews demonstrating pragmatic mode in various scenarios - -**Original Proposal**: -Phase 2 roadmap included creating 3-5 complete example reviews to demonstrate pragmatic mode in different contexts (performance optimization, security features, test infrastructure, etc.) - -**Rationale for Deferring**: -- Current need score: 5/10 (helpful but not essential) -- Complexity score: 6/10 (time-consuming to create realistic examples) -- Cost of waiting: Low -- Already have one complete example (`example-pragmatic-api-feature.md`) -- Already have 13+ scenarios in `pragmatic-mode-usage-examples.md` -- Real usage will inform better examples than synthetic ones -- Risk of creating examples that don't match actual usage patterns - -**Simpler Current Approach**: -Single comprehensive example demonstrating core pragmatic mode patterns. Reference existing usage examples documentation for additional scenarios. - -**Trigger Conditions** (Implement when): -- [ ] Users request more example reviews -- [ ] First 3 real reviews reveal patterns not covered in current example -- [ ] Feedback indicates template alone is insufficient -- [ ] Specific scenario gaps identified through actual usage - -**Implementation Notes**: -When creating additional examples: -- Base on real reviews that have been conducted -- Focus on scenarios that proved confusing or needed clarification -- Prioritize examples that show different intensity levels -- Include examples with different exemption scenarios - -**Related Documents**: -- `.architecture/reviews/example-pragmatic-api-feature.md` (current example) -- `.architecture/decisions/pragmatic-mode-usage-examples.md` (13+ scenarios) -- `.architecture/decisions/phase-2-pragmatic-analysis.md` (deferral decision) - -**Last Reviewed**: 2025-11-05 - ---- - -### Extensive Phase 2 Documentation - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Additional documentation for review process integration beyond template and single example - -**Original Proposal**: -Create comprehensive documentation covering: -- Detailed review process with pragmatic mode -- Integration patterns -- Troubleshooting guide -- Best practices - -**Rationale for Deferring**: -- Current need score: 4/10 (would be nice but not required) -- Complexity score: 5/10 (time-consuming) -- Cost of waiting: Very low -- Existing integration guide covers technical details -- Existing usage examples cover scenarios -- Template provides structure -- Don't know yet what users will find confusing - -**Simpler Current Approach**: -Rely on existing documentation: -- Review template with clear structure -- One complete example -- Integration guide -- Usage examples document -- CLAUDE.md instructions - -**Trigger Conditions** (Implement when): -- [ ] Users ask questions not covered in existing docs -- [ ] Specific pain points emerge from actual usage -- [ ] Common patterns emerge that need documentation -- [ ] 5+ support requests on same topic - -**Implementation Notes**: -Document actual problems users encounter, not imagined ones. This ensures documentation addresses real needs. - -**Related Documents**: -- `.architecture/decisions/pragmatic-mode-integration-guide.md` -- `.architecture/decisions/pragmatic-mode-usage-examples.md` -- `CLAUDE.md` - -**Last Reviewed**: 2025-11-05 - ---- - -### Comprehensive Integration Testing - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Testing -**Priority**: Medium - -**What Was Deferred**: -Extensive integration testing suite for Phase 2 review process integration - -**Original Proposal**: -Create comprehensive tests: -- Template rendering with all architect combinations -- Pragmatic mode enabled/disabled scenarios -- Different intensity levels -- All trigger conditions -- Exemption scenarios -- Error cases - -**Rationale for Deferring**: -- Current need score: 6/10 (testing is valuable) -- Complexity score: 7/10 (time-consuming, requires test framework) -- Cost of waiting: Low -- Manual testing verifies core functionality -- First real usage will reveal actual edge cases -- Can test with real scenarios vs synthetic ones -- Template is straightforward enough for manual verification - -**Simpler Current Approach**: -- Manual verification that template is well-formed -- Test with simple review scenario (done) -- Monitor first real reviews for issues -- Add tests for patterns that prove problematic - -**Trigger Conditions** (Implement when): -- [ ] Bugs found in review process -- [ ] Template changes frequently and needs regression protection -- [ ] Complex logic added that's hard to verify manually -- [ ] Multiple contributors need test suite - -**Implementation Notes**: -When implementing: -- Focus on testing actual failure modes discovered -- Test template rendering and structure -- Test pragmatic mode activation/deactivation -- Test different intensity levels - -**Related Documents**: -- `.architecture/templates/review-template.md` -- `.architecture/PHASE-1-TEST.md` - -**Last Reviewed**: 2025-11-05 - ---- - -### Multiple Example ADRs (Phase 3B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Creating 3-5 comprehensive example ADRs demonstrating pragmatic mode analysis for various decision types - -**Original Proposal**: -Phase 3 roadmap included creating 3-5 complete example ADRs to demonstrate pragmatic analysis in different contexts: -- Infrastructure decisions -- Technology stack choices -- Design pattern adoptions -- Performance optimization decisions -- Security architecture decisions - -**Rationale for Deferring**: -- Current need score: 4/10 (helpful but not essential) -- Complexity score: 7/10 (more complex than review examples, need realistic decisions) -- Cost of waiting: Very low -- Already have one complete example (`example-pragmatic-caching-layer.md`) -- ADR format is well-understood, adding pragmatic section is straightforward -- Real ADRs will provide better examples than synthetic ones -- Risk of creating examples that don't reflect actual architectural decisions -- Technology choices in examples may become dated - -**Simpler Current Approach**: -Single comprehensive ADR example demonstrating complete pragmatic analysis pattern. Users understand ADR format; one example shows how to add pragmatic section. - -**Trigger Conditions** (Implement when): -- [ ] Users request more ADR examples -- [ ] First 3 real ADRs with pragmatic mode reveal patterns not covered -- [ ] Feedback indicates one example is insufficient -- [ ] Specific decision types emerge that need dedicated examples -- [ ] Common architectural decisions need documented patterns - -**Implementation Notes**: -When creating additional examples: -- Base on real ADRs that have been created with pragmatic mode -- Focus on decision types that proved challenging -- Show different pragmatic outcomes (approved, simplified, deferred, rejected) -- Include examples at different intensity levels -- Cover different trigger scenarios and exemptions - -**Related Documents**: -- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` (current example) -- `.architecture/templates/adr-template.md` (updated template) -- `.architecture/decisions/phase-3-pragmatic-analysis.md` (deferral decision) - -**Last Reviewed**: 2025-11-05 - ---- - -### Extensive ADR Process Documentation (Phase 3B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Additional documentation for ADR creation process with pragmatic mode beyond template and single example - -**Original Proposal**: -Create comprehensive documentation covering: -- Detailed ADR creation workflow with pragmatic mode -- How to conduct pragmatic analysis -- Guidelines for scoring necessity and complexity -- When to defer decisions -- How to set trigger conditions -- Best practices for phased implementations -- Integration with architecture reviews - -**Rationale for Deferring**: -- Current need score: 3/10 (would be nice but not required) -- Complexity score: 5/10 (time-consuming) -- Cost of waiting: Very low -- ADR template is self-documenting -- Example ADR shows complete pattern -- CLAUDE.md already covers ADR creation process -- Don't know yet what users will find confusing about ADR pragmatic analysis -- Can document actual pain points instead of speculating - -**Simpler Current Approach**: -Rely on existing documentation: -- ADR template with Pragmatic Enforcer Analysis section -- One complete example showing full pattern -- CLAUDE.md instructions for pragmatic mode -- Configuration file with thresholds and settings -- Review example showing pragmatic analysis patterns - -**Trigger Conditions** (Implement when): -- [ ] Users ask questions not covered in existing docs -- [ ] Specific pain points emerge from actual ADR creation -- [ ] Common scoring confusion emerges -- [ ] 5+ support requests on same ADR-related topic -- [ ] Teams struggle with pragmatic analysis despite example - -**Implementation Notes**: -Document actual problems users encounter when creating ADRs with pragmatic mode. Focus on real confusion, not imagined difficulties. - -**Related Documents**: -- `.architecture/templates/adr-template.md` -- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` -- `CLAUDE.md` -- `.architecture/config.yml` - -**Last Reviewed**: 2025-11-05 - ---- - -### Comprehensive ADR Integration Testing (Phase 3B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Testing -**Priority**: Medium - -**What Was Deferred**: -Extensive integration testing suite for Phase 3 ADR template with pragmatic analysis - -**Original Proposal**: -Create comprehensive tests: -- ADR template rendering with pragmatic section -- Different decision types and outcomes -- Necessity/complexity scoring calculations -- Trigger condition formats -- Integration with review process -- Different intensity levels affecting recommendations -- Exemption scenario handling -- Migration paths and phased approaches - -**Rationale for Deferring**: -- Current need score: 5/10 (testing is valuable but not urgent) -- Complexity score: 7/10 (time-consuming, requires test framework) -- Cost of waiting: Low -- Manual testing verifies template is well-formed -- First real ADRs will reveal actual edge cases -- Can test with real scenarios vs synthetic ones -- ADR template is straightforward enough for manual verification -- Template structure is simpler than review template - -**Simpler Current Approach**: -- Manual verification that template is well-formed -- Verify example ADR uses template correctly -- Monitor first real ADRs for issues -- Add tests for patterns that prove problematic - -**Trigger Conditions** (Implement when): -- [ ] Bugs found in ADR pragmatic analysis -- [ ] ADR template changes frequently and needs regression protection -- [ ] Complex logic added for scoring or recommendations -- [ ] Multiple contributors need test suite -- [ ] Automated validation of necessity/complexity ratios needed - -**Implementation Notes**: -When implementing: -- Focus on testing actual failure modes discovered -- Test template structure and completeness -- Test pragmatic scoring calculations if automated -- Test integration with review process -- Test different intensity levels if behavior varies - -**Related Documents**: -- `.architecture/templates/adr-template.md` -- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` -- `.architecture/PHASE-1-TEST.md` - -**Last Reviewed**: 2025-11-05 - ---- - -### Cross-Reference Example Library (Phase 3B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Building a comprehensive cross-referenced library of pragmatic mode examples across reviews, ADRs, and decision scenarios - -**Original Proposal**: -Create an organized library: -- Index of all examples by scenario type -- Cross-references between review and ADR examples -- Searchable catalog of pragmatic challenges -- Decision tree for when to defer vs simplify vs implement -- Pattern library of common architectural over-engineering traps - -**Rationale for Deferring**: -- Current need score: 3/10 (nice to have, not essential) -- Complexity score: 6/10 (requires corpus of examples to cross-reference) -- Cost of waiting: Very low -- Only have 2 examples currently (1 review, 1 ADR) -- Need more real examples before patterns emerge -- Premature to create index with limited content -- Pattern library should emerge from actual usage, not speculation - -**Simpler Current Approach**: -Let example corpus grow organically from real usage. Cross-reference when patterns emerge naturally. - -**Trigger Conditions** (Implement when): -- [ ] 10+ documented examples exist (reviews + ADRs) -- [ ] Clear patterns emerge across multiple examples -- [ ] Users request ability to search examples by scenario -- [ ] Common architectural traps documented from real usage -- [ ] Teaching/training need for organized example library - -**Implementation Notes**: -When implementing: -- Wait for corpus of real examples to accumulate -- Identify patterns from actual usage, not speculation -- Create taxonomy based on real decision types encountered -- Build index only when content justifies the structure - -**Related Documents**: -- `.architecture/reviews/example-pragmatic-api-feature.md` -- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` -- Future examples to be added as they're created - -**Last Reviewed**: 2025-11-05 - ---- - -### Comprehensive Usage Guide (Phase 4B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Creating a comprehensive usage guide for pragmatic mode beyond existing CLAUDE.md instructions - -**Original Proposal**: -Phase 4 roadmap included creating detailed usage guide covering: -- When to enable pragmatic mode -- How to configure intensity levels -- Handling exemptions -- Best practices for usage -- Integration workflows -- Troubleshooting guide - -**Rationale for Deferring**: -- Current need score: 3/10 (helpful but not essential) -- Complexity score: 6/10 (significant documentation effort) -- Cost of waiting: Very low -- CLAUDE.md already has comprehensive 9-step activation guide -- config.yml has extensive inline documentation -- Examples demonstrate usage patterns -- Don't know yet what users will struggle with -- Cannot create effective guide without seeing real usage questions - -**Simpler Current Approach**: -Rely on existing documentation: -- CLAUDE.md: Complete "Pragmatic Guard Mode Requests" section with 9-step process -- config.yml: Extensive inline documentation for all settings -- Review template: Self-documenting with clear structure -- ADR template: Self-documenting with clear structure -- Examples: 1 review + 1 ADR demonstrate all patterns - -**Trigger Conditions** (Implement when): -- [ ] 5+ support questions about how to use pragmatic mode -- [ ] Users report confusion despite existing documentation -- [ ] Common usage patterns emerge that aren't documented -- [ ] Specific workflows prove difficult to understand -- [ ] Feedback indicates current docs insufficient - -**Implementation Notes**: -When creating usage guide: -- Base on actual user questions and confusion points -- Focus on scenarios that proved unclear in practice -- Include real-world usage examples from actual projects -- Address specific pain points identified through support -- Avoid documenting what users already understand - -**Related Documents**: -- `CLAUDE.md` (current usage instructions) -- `.architecture/config.yml` (configuration documentation) -- `.architecture/reviews/example-pragmatic-api-feature.md` -- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` -- `.architecture/decisions/phase-4-pragmatic-analysis.md` (deferral decision) - -**Last Reviewed**: 2025-11-05 - ---- - -### YAGNI Principles Reference Document (Phase 4B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Creating a comprehensive reference document on YAGNI principles, resources, and best practices - -**Original Proposal**: -Phase 4 roadmap included creating reference documentation covering: -- Link to YAGNI resources (Martin Fowler, Kent Beck, XP principles) -- Common pitfalls in architectural decision-making -- Decision frameworks for complexity vs simplicity -- When YAGNI applies and when it doesn't -- Examples of appropriate vs premature optimization -- Cost-benefit frameworks for architectural decisions - -**Rationale for Deferring**: -- Current need score: 2/10 (nice to have, not required) -- Complexity score: 5/10 (research and compilation effort) -- Cost of waiting: Zero -- Can link to external resources (Martin Fowler, Kent Beck) as needed -- Don't know yet what principles users need reinforcement on -- Cannot document "common pitfalls" that haven't been encountered -- Better to create based on actual user needs vs speculation - -**Simpler Current Approach**: -Link to external resources when needed: -- Martin Fowler's YAGNI article: https://martinfowler.com/bliki/Yagni.html -- Kent Beck's XP principles (reference in principles.md) -- Pragmatic mode config and examples demonstrate principles in action -- Users can request specific references if needed - -**Trigger Conditions** (Implement when): -- [ ] Users request deeper learning resources on YAGNI -- [ ] Questions show misunderstanding of when YAGNI applies -- [ ] Common misconceptions emerge from real usage -- [ ] Teams struggle with philosophical understanding despite examples -- [ ] 5+ requests for learning resources or deeper principles - -**Implementation Notes**: -When creating principles reference: -- Focus on areas where users show actual confusion -- Include real examples from user projects (anonymized) -- Address specific misconceptions that emerged -- Link to authoritative external resources -- Keep practical and actionable, not purely theoretical - -**Related Documents**: -- `.architecture/principles.md` (existing principles) -- External: Martin Fowler YAGNI article -- External: Kent Beck XP principles -- `.architecture/decisions/exploration-pragmatic-guard-mode.md` (rationale) - -**Last Reviewed**: 2025-11-05 - ---- - -### Common Pitfalls Documentation (Phase 4B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Documenting common pitfalls and anti-patterns when using pragmatic mode - -**Original Proposal**: -Phase 4 roadmap included documenting common pitfalls: -- Mistakes users make when applying pragmatic mode -- Anti-patterns in using YAGNI principles -- When pragmatic mode is applied inappropriately -- Balancing simplicity with necessary complexity -- Avoiding under-engineering critical systems - -**Rationale for Deferring**: -- Current need score: 1/10 (cannot do without real usage) -- Complexity score: 4/10 (straightforward documentation once known) -- Cost of waiting: Zero - literally cannot do this before it happens! -- **CANNOT document pitfalls that haven't been encountered** -- Don't know yet what mistakes users will make -- Speculating about pitfalls risks documenting wrong things -- Real usage will reveal actual problems vs imagined ones - -**Simpler Current Approach**: -Wait for real usage to reveal pitfalls: -- Monitor first users' experiences -- Collect actual problems encountered -- Document real anti-patterns as they emerge -- Learn from mistakes rather than speculate - -**Trigger Conditions** (Implement when): -- [ ] 5+ users have used pragmatic mode on real projects -- [ ] Common mistakes emerge from real usage -- [ ] Patterns of misuse are observed -- [ ] Specific scenarios repeatedly cause problems -- [ ] Anti-patterns identified from actual projects - -**Implementation Notes**: -When creating pitfalls documentation: -- Base entirely on real problems encountered -- Include real examples (anonymized if needed) -- Explain why the pitfall is problematic -- Provide corrective guidance -- Show before/after examples -- This document MUST wait for real usage data - -**Related Documents**: -- Future: Real user feedback and usage reports -- `.architecture/decisions/phase-4-pragmatic-analysis.md` (why deferred) - -**Last Reviewed**: 2025-11-05 - ---- - -### Behavioral Pattern Refinement (Phase 4B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Enhancement -**Priority**: Medium - -**What Was Deferred**: -Refining pragmatic mode behavioral patterns based on real-world usage feedback - -**Original Proposal**: -Phase 4 roadmap included behavioral refinement: -- Test with real projects -- Refine question frameworks -- Adjust response patterns -- Improve challenge structure -- Enhance collaborative discussion integration - -**Rationale for Deferring**: -- Current need score: 0/10 (literally impossible without usage data) -- Complexity score: 6/10 (requires analysis and iteration) -- Cost of waiting: Zero until we have usage data -- **CANNOT refine patterns without seeing them in real usage** -- Current patterns are well-designed based on YAGNI principles -- Need real usage to know what works and what doesn't -- Premature refinement risks optimizing wrong things - -**Simpler Current Approach**: -Ship current behavioral patterns as-is: -- Question framework is well-designed -- Response patterns are clear and structured -- Assessment framework (0-10 scoring) is straightforward -- Wait for real usage to show what needs refinement - -**Trigger Conditions** (Implement when): -- [ ] 10+ pragmatic mode reviews/ADRs conducted -- [ ] Patterns emerge showing specific questions are unclear -- [ ] Users report challenge structure is confusing -- [ ] Response format proves inadequate for real scenarios -- [ ] Feedback indicates specific improvements needed -- [ ] Behavioral patterns produce unhelpful or confusing results - -**Implementation Notes**: -When refining behavioral patterns: -- Analyze actual reviews and ADRs created with pragmatic mode -- Identify what worked well vs what caused confusion -- Refine based on real usage patterns, not speculation -- A/B test changes if possible -- Update templates, examples, and documentation consistently - -**Related Documents**: -- `.architecture/templates/review-template.md` (current patterns) -- `.architecture/templates/adr-template.md` (current patterns) -- Future: Analysis of real pragmatic mode usage - -**Last Reviewed**: 2025-11-05 - ---- - -### Intensity Calibration Adjustment (Phase 4B) - -**Status**: Deferred -**Deferred Date**: 2025-11-05 -**Category**: Enhancement -**Priority**: Medium - -**What Was Deferred**: -Adjusting intensity level calibration (strict, balanced, lenient) based on real project data - -**Original Proposal**: -Phase 4 roadmap included intensity calibration: -- Validate current thresholds with real projects -- Adjust complexity/necessity ratio targets -- Refine strict/balanced/lenient behaviors -- Tune trigger sensitivity -- Optimize for different project types/sizes - -**Rationale for Deferring**: -- Current need score: 0/10 (impossible without real project data) -- Complexity score: 7/10 (requires data collection and analysis) -- Cost of waiting: Zero until we have real usage data -- **CANNOT calibrate without seeing actual intensity levels in use** -- Current calibration is well-designed based on principles -- Thresholds (e.g., <1.5 ratio for balanced mode) are reasonable -- Need real projects to validate or adjust thresholds - -**Simpler Current Approach**: -Ship current calibration as-is: -- Strict: Aggressive challenges, high bar for complexity -- Balanced: Thoughtful challenges, middle ground (RECOMMENDED) -- Lenient: Raise concerns, suggest alternatives -- Thresholds: complexity/necessity ratio <1.5 for balanced -- Wait for real usage to show if calibration is appropriate - -**Trigger Conditions** (Implement when): -- [ ] 20+ projects using pragmatic mode -- [ ] Data shows intensity levels produce unexpected results -- [ ] Users report strict/balanced/lenient not behaving as expected -- [ ] Thresholds prove too aggressive or too permissive -- [ ] Different project types/sizes need different calibration -- [ ] Quantitative analysis shows calibration issues - -**Implementation Notes**: -When adjusting intensity calibration: -- Collect data from real projects using each intensity level -- Analyze necessity scores, complexity scores, and ratios -- Identify patterns in recommendations (approve/simplify/defer/reject) -- Measure project outcomes with different intensity levels -- Adjust thresholds based on data, not intuition -- Document reasoning for any calibration changes -- Update config.yml, examples, and documentation - -**Related Documents**: -- `.architecture/config.yml` (current calibration) -- `.architecture/reviews/example-pragmatic-api-feature.md` (balanced mode example) -- `.architecture/decisions/adrs/example-pragmatic-caching-layer.md` (balanced mode example) -- Future: Analysis of intensity level usage across projects - -**Last Reviewed**: 2025-11-05 - ---- - -## README Documentation Improvements (December 2025) - -*Source: Architecture Review - README.md Pragmatic Mode and Implementation Guidance Documentation (2025-12-11)* - -The following recommendations emerged from the comprehensive architecture review of README.md documentation. Progressive disclosure principles were applied to categorize recommendations as "implement now" vs. "defer with triggers". - -### AI Assistant Capabilities Documentation - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Medium - -**What Was Deferred**: -Comprehensive "How AI Assistants Use This" documentation section explaining how AI assistants parse, apply, and handle pragmatic mode and implementation guidance features. - -**Original Proposal**: -AI Engineer recommended adding detailed documentation covering: -- How AI assistants parse config.yml settings -- What AI assistants can/cannot do with these features -- Whether AI can create members.yml members dynamically -- Whether AI can detect when pragmatic mode should be enabled -- Error handling when config is invalid/malformed -- Context loading behavior (when config is read, cached, reloaded) - -**Rationale for Deferring**: -- Necessity score: 6/10 (valuable but not immediately critical) -- Complexity score: 6/10 (requires comprehensive explanation, examples) -- Ratio: 1.0 (at threshold for deferral) -- Cost of waiting: Low - users discovering capabilities through usage -- No user questions yet about AI behavior or capabilities -- Features are working without this documentation -- Real usage will reveal which aspects actually need explanation -- Risk of documenting speculative concerns vs. actual user questions - -**Simpler Current Approach**: -- Config.yml has extensive inline documentation -- ADR-002 and ADR-004 explain feature design -- Natural language commands are intuitive -- Users can experiment and ask questions as needed -- Document specific capabilities when users ask - -**Trigger Conditions** (Implement when): -- [ ] 5+ user questions about how AI assistants parse or apply configurations -- [ ] 3+ user questions about AI capabilities or limitations -- [ ] Users encounter unexpected AI behavior with features -- [ ] Support requests about config parsing or application -- [ ] Confusion about what AI can/cannot do with features - -**Implementation Notes**: -When triggered, add to TROUBLESHOOTING.md: -- Base on actual user questions, not speculation -- Include examples of actual AI behaviors observed -- Clarify capabilities vs. limitations based on real usage -- Address specific confusion points that emerged -- Show examples of correct vs. incorrect config usage - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` (review source) -- `README.md` (lines 428-492: feature documentation) -- `.architecture/config.yml` (configuration reference) -- ADR-002, ADR-004 (feature design decisions) - -**Last Reviewed**: 2025-12-11 - ---- - -### Advanced Prompt Patterns Documentation - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Medium - -**What Was Deferred**: -Documentation of advanced prompt patterns and member-specific implementation commands. - -**Original Proposal**: -AI Engineer recommended documenting full prompt pattern space: -- "Implement as the pragmatic enforcer" (specific member) -- "Implement as the security specialist" (member-specific methodology) -- Advanced command variations and combinations -- Member-specific implementation approaches -- How to override configured practices for specific implementations - -**Rationale for Deferring**: -- Necessity score: 5/10 (power user feature, not essential for basic use) -- Complexity score: 3/10 (straightforward documentation once patterns known) -- Ratio: 0.6 (acceptable for deferral, lower necessity) -- Cost of waiting: Very low - users discovering patterns naturally -- No evidence users need these advanced patterns yet -- Basic "Implement X as the architects" command works well -- Advanced users discovering variations through experimentation -- Real usage will show which patterns are actually used vs. speculative - -**Simpler Current Approach**: -- Basic implementation command documented: "Implement X as the architects" -- Users can experiment with variations -- Members.yml shows available member perspectives -- Document specific patterns when users ask about them - -**Trigger Conditions** (Implement when): -- [ ] 5+ user questions asking "Can I implement as [specific member]?" -- [ ] Users requesting member-specific implementation guidance -- [ ] Advanced patterns emerge from actual usage -- [ ] Power users request documentation of advanced capabilities -- [ ] Evidence that users want more control over implementation approach - -**Implementation Notes**: -When triggered, add to TROUBLESHOOTING.md "Advanced Usage" section: -- Document patterns users actually want (not all theoretical possibilities) -- Show examples of member-specific implementations from real usage -- Explain when to use specific members vs. general architects -- Include use cases for each pattern variant -- Based on actual user needs, not speculation - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `README.md` § Implementation Guidance -- `.architecture/members.yml` (available members) -- ADR-004 (implementation guidance design) - -**Last Reviewed**: 2025-12-11 - ---- - -### Error Handling Documentation - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Medium - -**What Was Deferred**: -Documentation of common error scenarios and resolution steps for pragmatic mode and implementation guidance features. - -**Original Proposal**: -AI Engineer recommended documenting error scenarios: -- Config file missing or malformed -- Pragmatic mode enabled but pragmatic_enforcer not in members.yml -- Invalid YAML syntax in config.yml -- Conflicting settings between pragmatic mode and implementation guidance -- Missing required fields in configuration -- Invalid values for enum fields (intensity, methodology) - -**Rationale for Deferring**: -- Necessity score: 6/10 (helpful when errors occur, not needed if no errors) -- Complexity score: 5/10 (need to identify and document each error scenario) -- Ratio: 0.83 (acceptable for deferral) -- Cost of waiting: Low - no user reports of errors yet -- Features are working without error documentation -- YAML validation provides basic error messages -- No evidence of users encountering these errors -- Better to document actual errors users encounter vs. speculate - -**Simpler Current Approach**: -- Config.yml template has extensive inline documentation -- YAML syntax errors caught by parser with standard messages -- Members.yml includes pragmatic_enforcer by default -- Template validation catches basic issues -- Address specific errors when users report them - -**Trigger Conditions** (Implement when): -- [ ] 5+ user support requests about configuration errors -- [ ] Specific error scenarios encountered multiple times -- [ ] Users report confusion about error messages -- [ ] Common configuration mistakes emerge from usage -- [ ] Error scenarios cause user frustration or blocked usage - -**Implementation Notes**: -When triggered, add to TROUBLESHOOTING.md "Common Errors" section: -- Document only errors users actually encounter -- Include error message text users see -- Provide step-by-step resolution for each error -- Show correct vs. incorrect configuration examples -- Link to relevant config.yml sections for reference - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `.architecture/config.yml` (configuration reference) -- `.architecture/templates/config.yml` (template) -- `.architecture/members.yml` (members reference) - -**Last Reviewed**: 2025-12-11 - ---- - -### Configuration Maintenance Guidance - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Medium - -**What Was Deferred**: -Comprehensive guidance on when and how to review and update config.yml as team practices evolve over time. - -**Original Proposal**: -Maintainability Expert recommended documenting configuration lifecycle: -- When to review config.yml (quarterly, when practices change, when team grows) -- How to update configurations as methodologies evolve -- Process for team consensus on configuration changes -- Handling configuration evolution across project lifetime -- Detecting when configuration has become stale -- Migration strategies for config updates - -**Rationale for Deferring**: -- Necessity score: 6/10 (valuable long-term, not needed immediately) -- Complexity score: 5/10 (requires thoughtful process documentation) -- Ratio: 0.83 (acceptable for deferral) -- Cost of waiting: Low - configs are new, won't be stale for months -- No evidence of stale configurations yet (features just launched) -- Teams haven't had time for practices to evolve enough to require updates -- Don't know yet what triggers config updates in practice -- Better to document based on real config evolution patterns - -**Simpler Current Approach**: -- Config.yml is version-controlled (changes tracked via git) -- Teams can update configs as needed -- No formal process until patterns emerge -- Document specific maintenance needs when they arise - -**Trigger Conditions** (Implement when): -- [ ] 3+ projects observed with stale configurations (config doesn't match actual practices) -- [ ] Users ask "how often should we review config?" -- [ ] Teams report difficulty updating configurations -- [ ] Config drift becomes problematic for projects -- [ ] 6+ months have passed since feature launch (natural evolution time) - -**Implementation Notes**: -When triggered, add to TROUBLESHOOTING.md "Maintenance" section: -- Base guidance on actual config evolution patterns observed -- Document triggers for config review that emerged from real projects -- Include examples of config updates from real projects (anonymized) -- Provide decision framework for when to update vs. keep stable -- Reference quarterly review process (ADR-005) for alignment - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `.architecture/config.yml` (will evolve over time) -- ADR-005 § Quarterly Review Process (documentation governance) -- Future: Real config evolution examples - -**Last Reviewed**: 2025-12-11 - ---- - -### "When NOT to Use" Anti-Patterns - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Guidance on when NOT to enable pragmatic mode or implementation guidance, including contraindications and anti-patterns. - -**Original Proposal**: -Domain Expert recommended documenting: -- Scenarios where pragmatic mode is inappropriate -- When implementation guidance might not help -- Anti-patterns for feature usage -- Contraindications for enabling features -- Common misunderstandings about when to use features - -**Rationale for Deferring**: -- Necessity score: 5/10 (helpful to prevent misuse, not critical yet) -- Complexity score: 3/10 (straightforward once misuse patterns known) -- Ratio: 0.6 (low enough to defer comfortably) -- Cost of waiting: Very low - no misuse observed yet -- Features are well-designed with appropriate defaults -- No evidence of users enabling features inappropriately -- Cannot document anti-patterns that haven't been observed -- Better to identify real misuse vs. speculate about hypothetical problems - -**Simpler Current Approach**: -- README clearly explains what each feature does -- "When to use" guidance helps set appropriate expectations -- Exemptions (security, compliance) are clearly documented -- Monitor for actual misuse patterns - -**Trigger Conditions** (Implement when): -- [ ] 3+ incidents of features being used inappropriately -- [ ] Users report unexpected results from feature usage -- [ ] Patterns emerge showing misunderstanding of feature purpose -- [ ] Support requests indicate confusion about when to enable -- [ ] Feedback suggests clearer contraindications needed - -**Implementation Notes**: -When triggered, add to README or TROUBLESHOOTING.md: -- Document only observed anti-patterns, not theoretical ones -- Include real examples of misuse (anonymized) -- Explain why the usage was inappropriate -- Provide guidance on correct usage for those scenarios -- Keep focused on actionable guidance - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `README.md` § Pragmatic Mode, § Implementation Guidance -- Future: Actual misuse examples if they emerge - -**Last Reviewed**: 2025-12-11 - ---- - -### Command Variations Expansion - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Expanded documentation of alternative phrasings for enabling pragmatic mode and using features. - -**Original Proposal**: -Systems Architect recommended documenting command variations: -- Alternative ways to say "Enable pragmatic mode" -- Variations like "Turn on YAGNI enforcement", "Activate pragmatic guard" -- Similar to how other commands show alternative phrases -- Help users discover natural language variations - -**Rationale for Deferring**: -- Necessity score: 4/10 (nice to have, not essential) -- Complexity score: 2/10 (very simple to add) -- Ratio: 0.5 (borderline, but low necessity tips toward deferral) -- Cost of waiting: Very low - users finding commands successfully -- Natural language commands are working well -- No user questions about alternative phrasings -- Simple addition if users request it -- Users discovering variations through experimentation - -**Simpler Current Approach**: -- Primary commands documented clearly -- AI assistants understand natural language variations -- Users can experiment with phrasings -- Add variations if users request them - -**Trigger Conditions** (Implement when): -- [ ] Users request more command examples -- [ ] Support questions about how to phrase commands -- [ ] Feedback indicates command discovery is difficult -- [ ] Consistency with other sections demands this addition - -**Implementation Notes**: -When triggered, add to README pragmatic mode section: -- List 3-5 alternative phrasings -- Similar to command variations shown for other features -- Keep concise (1-2 lines maximum) -- Based on phrasings users actually try - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `README.md` § Pragmatic Mode - -**Last Reviewed**: 2025-12-11 - ---- - -### Multi-Language Configuration Examples - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Example showing how to configure implementation guidance for polyglot projects (multiple programming languages). - -**Original Proposal**: -Maintainability Expert recommended adding example: -- Show Ruby + JavaScript configuration in same project -- Clarify how to handle different languages simultaneously -- Demonstrate language-specific practices configuration -- Support polyglot codebases explicitly - -**Rationale for Deferring**: -- Necessity score: 6/10 (valuable for polyglot projects, not universal) -- Complexity score: 2/10 (simple example to add) -- Ratio: 0.33 (low ratio, but necessity not universal enough for immediate addition) -- Cost of waiting: Low - single-language examples generalize well -- Most projects are primarily single-language -- Config.yml template shows multiple language examples (commented out) -- Users can extrapolate from single-language examples -- No user questions about multi-language configuration yet - -**Simpler Current Approach**: -- Config template shows structure for multiple languages -- Example shows one language clearly -- Users can add additional language sections following same pattern -- Add explicit multi-language example if users request it - -**Trigger Conditions** (Implement when): -- [ ] 3+ users ask about multi-language configuration -- [ ] Polyglot project support requests -- [ ] Users report confusion about configuring multiple languages -- [ ] Multi-language projects become more common in user base - -**Implementation Notes**: -When triggered, add to README Implementation Guidance section: -- Show realistic 2-language example (e.g., Ruby backend + React frontend) -- Demonstrate how practices differ between languages -- Keep example concise (5-10 lines) -- Reference config.yml template for full options - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `README.md` § Implementation Guidance -- `.architecture/templates/config.yml` (has multi-language structure) - -**Last Reviewed**: 2025-12-11 - ---- - -### Progressive Disclosure Performance Benefits - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Explanation in README of how progressive disclosure pattern (ADR-005) optimizes AI assistant performance. - -**Original Proposal**: -Performance Specialist recommended brief callout: -- Explain why documentation is structured progressively -- Connect to instruction capacity constraints (ADR-005) -- Help users understand framework documentation design -- Show how respecting LLM limits improves AI performance - -**Rationale for Deferring**: -- Necessity score: 4/10 (interesting context, not essential for feature use) -- Complexity score: 2/10 (brief explanation, simple to add) -- Ratio: 0.5 (low complexity, but also low necessity) -- Cost of waiting: Very low - feature works without this explanation -- Users don't need to understand why documentation is structured this way to use it -- Meta-explanation of documentation strategy may add cognitive load -- ADR-005 exists for those interested in the rationale -- Documentation structure speaks for itself through usage - -**Simpler Current Approach**: -- Documentation works well without explaining why it's structured this way -- ADR-005 thoroughly documents progressive disclosure rationale -- Users can read ADRs if interested in design decisions -- Focus README on "what" and "how", not "why structured this way" - -**Trigger Conditions** (Implement when): -- [ ] Users ask why documentation is structured this way -- [ ] Confusion emerges about information distribution across files -- [ ] Users interested in framework design principles behind structure -- [ ] Educational value justifies meta-documentation - -**Implementation Notes**: -When triggered, consider adding brief note to README or AGENTS.md: -- Keep very concise (1-2 sentences maximum) -- Link to ADR-005 for detailed explanation -- Focus on user benefit, not technical implementation -- Place where it provides context without disrupting flow - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- ADR-005 (progressive disclosure pattern and rationale) -- `README.md`, `AGENTS.md` (documentation structure) - -**Last Reviewed**: 2025-12-11 - ---- - -### Config Parsing Performance Clarification - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Documentation -**Priority**: Low - -**What Was Deferred**: -Brief note clarifying that config.yml parsing has negligible performance overhead. - -**Original Proposal**: -Performance Specialist recommended adding clarification: -- Note that YAML parsing is fast -- Config parsed once per session, negligible overhead -- Address potential user concerns about performance cost -- Reassure users that configuration-driven approach has no meaningful latency - -**Rationale for Deferring**: -- Necessity score: 3/10 (addresses concern that may not exist) -- Complexity score: 1/10 (single sentence addition) -- Ratio: 0.33 (very low complexity, but also very low necessity) -- Cost of waiting: Zero - no users have raised performance concerns -- Config parsing is clearly fast in practice -- No evidence users are worried about this -- Speculative concern, not actual user question -- Only add if users actually worry about performance - -**Simpler Current Approach**: -- Config parsing works well without explanation -- Performance is obviously fine in practice -- Address if users raise concerns - -**Trigger Conditions** (Implement when): -- [ ] User asks about config parsing performance -- [ ] Concerns raised about configuration overhead -- [ ] Performance-sensitive users question approach - -**Implementation Notes**: -When triggered, add brief parenthetical note: -- Single sentence or parenthetical -- "(Config parsed once per session, negligible overhead)" -- Place in Implementation Guidance section if added - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- `README.md` § Implementation Guidance - -**Last Reviewed**: 2025-12-11 - ---- - -### Version Consistency Verification - -**Status**: Deferred -**Deferred Date**: 2025-12-11 -**Category**: Maintenance -**Priority**: Low - -**What Was Deferred**: -Audit of all framework documentation files to ensure version number consistency (verify all show 1.2.0). - -**Original Proposal**: -Systems Architect recommended verification: -- Audit all docs for version 1.2.0 -- Ensure consistency across README, config templates, ADRs -- Catch any stale version references -- Professional consistency check - -**Rationale for Deferring**: -- Necessity score: 4/10 (good practice, not critical to function) -- Complexity score: 2/10 (simple grep and update task) -- Ratio: 0.5 (low on both dimensions) -- Cost of waiting: Very low - version inconsistency is cosmetic -- No user confusion from version references -- Can be done during next regular documentation audit -- Part of normal documentation maintenance -- Not blocking any functionality - -**Simpler Current Approach**: -- Address version consistency during quarterly documentation review -- Update as part of normal maintenance cycle -- Fix if noticed during other updates - -**Trigger Conditions** (Implement when): -- [ ] Quarterly documentation review cycle -- [ ] User reports version inconsistency -- [ ] Preparing for new version release (1.3.0) -- [ ] General documentation audit performed - -**Implementation Notes**: -When triggered: -- Grep for version references across all docs -- Update to current version (1.2.0 or later) -- Document version number convention for future -- Consider automation if becomes recurring issue - -**Related Documents**: -- `.architecture/reviews/readme-pragmatic-implementation-docs.md` -- All framework documentation (README, config.yml, ADRs, etc.) -- ADR-005 § Quarterly Review Process - -**Last Reviewed**: 2025-12-11 +*(No deferred decisions currently tracked)* --- @@ -1305,8 +51,8 @@ Track deferral outcomes to improve decision-making: | Metric | Value | Notes | |--------|-------|-------| -| Total deferrals | 22 | All-time count (3 Phase 2B + 4 Phase 3B + 5 Phase 4B + 10 README docs) | -| Active deferrals | 22 | Currently deferred | +| Total deferrals | 0 | All-time count | +| Active deferrals | 0 | Currently deferred | | Triggered awaiting implementation | 0 | Need to address | | Implemented | 0 | Were eventually needed | | Cancelled | 0 | Were never needed | @@ -1358,7 +104,3 @@ When adding a deferral, use this format: **Last Reviewed**: YYYY-MM-DD ``` - ---- - -*See `.architecture/templates/deferrals.md` for detailed examples of deferral entries.* diff --git a/.architecture/reviews/ADR-012-split-directories.md b/.architecture/reviews/ADR-001-split-directories.md similarity index 98% rename from .architecture/reviews/ADR-012-split-directories.md rename to .architecture/reviews/ADR-001-split-directories.md index f2e8b48..55436de 100644 --- a/.architecture/reviews/ADR-012-split-directories.md +++ b/.architecture/reviews/ADR-001-split-directories.md @@ -1,4 +1,4 @@ -# Architecture Review: ADR-012 Reorganize Repository Structure +# Architecture Review: ADR-001 Reorganize Repository Structure **Date**: 2024-05-24 **Review Type**: Feature / Architecture Change @@ -6,7 +6,7 @@ ## Executive Summary -This document reviews ADR-012, which proposes reorganizing the `opl` repository into a Split Directories pattern (using `core/opl/` and `extras/opl/`) with PEP 420 implicit namespace packages. The goal is to eliminate code duplication between core and full installations while enforcing a clean physical dependency boundary and maintaining existing `pip install` behaviors. +This document reviews ADR-001, which proposes reorganizing the `opl` repository into a Split Directories pattern (using `core/opl/` and `extras/opl/`) with PEP 420 implicit namespace packages. The goal is to eliminate code duplication between core and full installations while enforcing a clean physical dependency boundary and maintaining existing `pip install` behaviors. **Overall Assessment**: Strong @@ -25,7 +25,7 @@ The proposed architecture provides a clean, modern Python approach to the proble ## System Overview -- **Target**: ADR-012 - Reorganize Repository Structure for Core and Full Installations +- **Target**: ADR-001 - Reorganize Repository Structure for Core and Full Installations - **Scope**: Repository directory structure, packaging configuration (`setup.py`), and Python module layout. - **Key Technologies**: Python 3, `pip`, PEP 420 (Implicit Namespace Packages), `setuptools`. - **Architecture Style**: Monorepo / Workspace layout with meta-packaging. @@ -380,7 +380,7 @@ Define measurable criteria to track improvement: ## Related Documentation **Architectural Decision Records**: -- [ADR-012-reorganize-repository-structure-for-core-and-full-installations.md](../decisions/adrs/ADR-012-reorganize-repository-structure-for-core-and-full-installations.md) - The target of this review. +- [ADR-001-reorganize-repository-structure-for-core-and-full-installations.md](../decisions/adrs/ADR-001-reorganize-repository-structure-for-core-and-full-installations.md) - The target of this review. --- From bfd96709a9e546c9ed270d78af816e57e48e4c1a Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:49:10 +0100 Subject: [PATCH 16/19] test: Fix temporary file leaks and update documentation for coverage - Add try/finally blocks in TestGenericGenerator to ensure temporary template files are properly cleaned up. - Update README.md with information on how to find the generated test coverage reports. Prompt: Before git adding and commiting, also add a anote about where to find codecov report to readme. Generated-by: Gemini --- README.md | 3 +++ tests/test_generators.py | 38 ++++++++++++++++++++++---------------- 2 files changed, 25 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index b22ecdf..77e27da 100644 --- a/README.md +++ b/README.md @@ -95,6 +95,9 @@ Running unit tests source venv/bin/activate python -m pytest tests/ +This will also generate a test coverage report. The terminal will show a summary, +and a detailed HTML report can be found in `htmlcov/index.html`. + Notes ------------------ * Our Jinja2 by default loads templates from the folder where the script `generic.py` is located. diff --git a/tests/test_generators.py b/tests/test_generators.py index 276db22..9420f02 100644 --- a/tests/test_generators.py +++ b/tests/test_generators.py @@ -12,29 +12,35 @@ class TestGenericGenerator(unittest.TestCase): def test_count(self): _, template = tempfile.mkstemp(dir=os.path.dirname(opl.generators.generic.__file__), text=True) - with open(template, "w") as fd: - fd.write('{"foo": "bar"}') + try: + with open(template, "w") as fd: + fd.write('{"foo": "bar"}') - gg = opl.generators.generic.GenericGenerator(3, os.path.basename(template)) + gg = opl.generators.generic.GenericGenerator(3, os.path.basename(template)) - counter = 0 - for message in gg: - self.assertIsInstance(message, tuple) - counter += 1 + counter = 0 + for message in gg: + self.assertIsInstance(message, tuple) + counter += 1 - self.assertEqual(counter, 3) + self.assertEqual(counter, 3) + finally: + os.remove(template) def test_uuids(self): _, template = tempfile.mkstemp(dir=os.path.dirname(opl.generators.generic.__file__), text=True) - with open(template, "w") as fd: - fd.write('{"x": "{{ opl_gen.gen_uuid() }}"}') + try: + with open(template, "w") as fd: + fd.write('{"x": "{{ opl_gen.gen_uuid() }}"}') - gg = opl.generators.generic.GenericGenerator(3, os.path.basename(template)) + gg = opl.generators.generic.GenericGenerator(3, os.path.basename(template)) - uuids = [] - for message in gg: - self.assertEqual(len(message[1]["x"]), 36) - uuids.append(message[1]["x"]) + uuids = [] + for message in gg: + self.assertEqual(len(message[1]["x"]), 36) + uuids.append(message[1]["x"]) - self.assertEqual(len(uuids), 3) + self.assertEqual(len(uuids), 3) + finally: + os.remove(template) From 970459759f772db54c44730184bd03452bb483ca Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 10:56:09 +0100 Subject: [PATCH 17/19] style: Reformat with black and ruff --- core/opl/cluster_read.py | 9 ++++++- core/opl/investigator/check.py | 5 +++- core/opl/investigator/config.py | 4 ++- core/opl/investigator/csv_decisions.py | 4 ++- core/opl/pass_or_fail.py | 3 +-- core/opl/shovel.py | 34 ++++++++++++++------------ core/opl/status_data.py | 18 +++++++++----- core/opl/status_data_updater.py | 1 - extras/opl/get_db_times.py | 1 - extras/opl/http.py | 1 - extras/opl/post_kafka_times.py | 1 - setup.py | 8 +++--- 12 files changed, 54 insertions(+), 35 deletions(-) diff --git a/core/opl/cluster_read.py b/core/opl/cluster_read.py index 73fd30d..70ae3eb 100755 --- a/core/opl/cluster_read.py +++ b/core/opl/cluster_read.py @@ -195,7 +195,14 @@ def _sanitize_target(self, target): return target @retry.retry_on_traceback(max_attempts=10, wait_seconds=1) - def measure(self, ri, name, grafana_target, grafana_enritchment={}, grafana_include_vars=False): + def measure( + self, + ri, + name, + grafana_target, + grafana_enritchment={}, + grafana_include_vars=False, + ): assert ( ri.start is not None and ri.end is not None ), "We need timerange to approach Grafana" diff --git a/core/opl/investigator/check.py b/core/opl/investigator/check.py index 49a0206..f9166b2 100644 --- a/core/opl/investigator/check.py +++ b/core/opl/investigator/check.py @@ -172,6 +172,7 @@ def check_by_stdev_3(data, value): """Checks if the current value is within 2 standard deviations of the mean of previous values""" return _check_by_stdev(data, value, 3) + def check_by_provided_min_max(_, value, provided_min, provided_max): """Checks if the current value is simply withing provided min and max values (historical values not used at all)""" info = collections.OrderedDict( @@ -198,7 +199,9 @@ def check(methods, data, value, description="N/A", verbose=True): method_args = method.get("args", []) result, info = globals()[method_name](data, value, *method_args) results.append(result) - logging.info(f"{method_name}({', '.join([str(i) for i in method_args])}) value {value} returned {'PASS' if result else 'FAIL'}") + logging.info( + f"{method_name}({', '.join([str(i) for i in method_args])}) value {value} returned {'PASS' if result else 'FAIL'}" + ) info_full = collections.OrderedDict() info_full["description"] = description diff --git a/core/opl/investigator/config.py b/core/opl/investigator/config.py index e6dfd35..584a33c 100644 --- a/core/opl/investigator/config.py +++ b/core/opl/investigator/config.py @@ -169,4 +169,6 @@ def load_config(conf, fp): conf.decisions_es_server_verify = True if conf.decisions_type == "csv": - conf.decisions_filename = data["decisions"].get("file", data["decisions"].get("filename")) + conf.decisions_filename = data["decisions"].get( + "file", data["decisions"].get("filename") + ) diff --git a/core/opl/investigator/csv_decisions.py b/core/opl/investigator/csv_decisions.py index 77019dd..fe13850 100644 --- a/core/opl/investigator/csv_decisions.py +++ b/core/opl/investigator/csv_decisions.py @@ -11,7 +11,9 @@ def store(filename, decisions): for decision in decisions: decision["job_name"] = job_name decision["build_url"] = build_url - decision["uploaded"] = datetime.datetime.now(tz=datetime.timezone.utc).isoformat() + decision["uploaded"] = datetime.datetime.now( + tz=datetime.timezone.utc + ).isoformat() fieldnames = [] for d in decisions: diff --git a/core/opl/pass_or_fail.py b/core/opl/pass_or_fail.py index 31c2813..355682a 100755 --- a/core/opl/pass_or_fail.py +++ b/core/opl/pass_or_fail.py @@ -14,7 +14,6 @@ import tabulate - STATUSES = { 0: "PASS", 1: "FAIL", @@ -67,7 +66,7 @@ def doit(args): # Render what needs to be rendered to finish config loading opl.investigator.config.load_config_finish(args, current_sd) - sets_list = [s['name'] for s in args.sets] + sets_list = [s["name"] for s in args.sets] # Load data items from current data current = opl.investigator.status_data_loader.load_data(current_sd, sets_list) diff --git a/core/opl/shovel.py b/core/opl/shovel.py index 00e654f..04ae7f2 100755 --- a/core/opl/shovel.py +++ b/core/opl/shovel.py @@ -124,9 +124,7 @@ def download(self, args): try: data = response.json() except requests.exceptions.JSONDecodeError: - self.logger.error( - "Failed to parse JSON, ignoring --record-link option" - ) + self.logger.error("Failed to parse JSON, ignoring --record-link option") else: _set_field_value(args.record_link, from_url, data) response_content = str.encode( @@ -354,7 +352,7 @@ def upload(self, args): try: marker = _get_field_value(args.matcher_field, run_data) except KeyError: - pass # If matcher was not found in data, we can assume this is not a duplicate + pass # If matcher was not found in data, we can assume this is not a duplicate else: if marker == matcher_value: print( @@ -533,7 +531,9 @@ def schema_label_list(self, args): labels = self._schema_id_labels(args, schema_id) for label in labels: - print(f"{label['id']}\t{label['name']}\t{label['extractors'][0]['jsonpath']}") + print( + f"{label['id']}\t{label['name']}\t{label['extractors'][0]['jsonpath']}" + ) def schema_label_add(self, args): self._setup(args) @@ -615,7 +615,9 @@ def schema_label_update(self, args): labels = self._schema_id_labels(args, schema_id) if args.update_by_id is not None: - label = next((item for item in labels if item["id"] == args.update_by_id), False) + label = next( + (item for item in labels if item["id"] == args.update_by_id), False + ) if label: # Label with provided id found, lets update it @@ -633,7 +635,9 @@ def schema_label_update(self, args): else: # Label not found, shall we fail now? if args.add_if_missing: - self.logger.warning(f"Label with name {new_name} not found, so adding new one with new ID") + self.logger.warning( + f"Label with name {new_name} not found, so adding new one with new ID" + ) return self.schema_label_add(args) else: raise KeyError(f"Failed to find label with name {new_name}") @@ -641,7 +645,9 @@ def schema_label_update(self, args): raise Exception("Either --update-by-id or --update-by-name have to be used") if new == label: - self.logger.info(f"Proposed and current label {label['id']} in schema ID {schema_id} are same, nothing to change") + self.logger.info( + f"Proposed and current label {label['id']} in schema ID {schema_id} are same, nothing to change" + ) else: self.logger.debug(f"Updating label in schema id {schema_id}: {new}") response = requests.put( @@ -758,9 +764,7 @@ def set_args(self, parser, subparsers): ) # Options for listing results - subparser = subparsers.add_parser( - "list", help="List test run IDs for a test" - ) + subparser = subparsers.add_parser("list", help="List test run IDs for a test") subparser.set_defaults(func=self.list) subparser.add_argument( "--test-name", @@ -791,9 +795,7 @@ def set_args(self, parser, subparsers): ) # Options for adding schema label - subparser = subparsers.add_parser( - "schema-label-add", help="Add schema label" - ) + subparser = subparsers.add_parser("schema-label-add", help="Add schema label") subparser.set_defaults(func=self.schema_label_add) subparser.add_argument( "--schema-uri", @@ -1113,7 +1115,9 @@ def links(self, args): # Make all the links absolute to initial user provided URL. # If there is already absolute link like 'http://www.example.com', # it will not be affected - absolute_hrefs = [urllib.parse.urljoin(args.url, href) for href in filtered_hrefs] + absolute_hrefs = [ + urllib.parse.urljoin(args.url, href) for href in filtered_hrefs + ] # Print what we found for href in absolute_hrefs: diff --git a/core/opl/status_data.py b/core/opl/status_data.py index 102450d..73b9153 100755 --- a/core/opl/status_data.py +++ b/core/opl/status_data.py @@ -143,11 +143,15 @@ def _set(self, data, split_key, value): # Check that array key is only used if this is last sub-key if array_key: - assert last_key, "Arrays can only be last in the multi keys (i.e. 'aaa.bbb[]', but not 'aaa[]'.bbb)" + assert ( + last_key + ), "Arrays can only be last in the multi keys (i.e. 'aaa.bbb[]', but not 'aaa[]'.bbb)" # Check that we are not attempting to change type of already existing key if array_key and not missing_key: - assert type(data[current_key]) == list, "You are trying to change type (e.g. 'aaa' was string and now you are trying to add to 'aaa[]')" + assert ( + type(data[current_key]) is list + ), "You are trying to change type (e.g. 'aaa' was string and now you are trying to add to 'aaa[]')" if missing_key: if last_key: @@ -155,9 +159,9 @@ def _set(self, data, split_key, value): data[current_key] = [value] else: data[current_key] = value - return # This was last key, we are done + return # This was last key, we are done else: - data[current_key] = {} # This is not last key, so it can not be array + data[current_key] = {} # This is not last key, so it can not be array return self._set(data[current_key], split_key[1:], value) else: if last_key: @@ -165,9 +169,11 @@ def _set(self, data, split_key, value): data[current_key].append(value) else: data[current_key] = value - return # This was last key, we are done + return # This was last key, we are done else: - return self._set(data[current_key], split_key[1:], value) # This is not last key, so no need to check for array + return self._set( + data[current_key], split_key[1:], value + ) # This is not last key, so no need to check for array def set(self, multikey, value): """ diff --git a/core/opl/status_data_updater.py b/core/opl/status_data_updater.py index 38bcdc1..9746b24 100755 --- a/core/opl/status_data_updater.py +++ b/core/opl/status_data_updater.py @@ -21,7 +21,6 @@ import yaml - RP_TO_ES_STATE = { "automation_bug": "FAIL", "no_defect": "PASS", diff --git a/extras/opl/get_db_times.py b/extras/opl/get_db_times.py index 4c3aa73..059dae7 100755 --- a/extras/opl/get_db_times.py +++ b/extras/opl/get_db_times.py @@ -16,7 +16,6 @@ import yaml - """ You want to use this helper if you want to get timestamps on when your hosts landed in application DB and store these timestamps in storage DB. diff --git a/extras/opl/http.py b/extras/opl/http.py index 3e8ce3c..237d049 100644 --- a/extras/opl/http.py +++ b/extras/opl/http.py @@ -4,7 +4,6 @@ import urllib3 - session = requests.Session() diff --git a/extras/opl/post_kafka_times.py b/extras/opl/post_kafka_times.py index d5fb05e..a6a49cc 100644 --- a/extras/opl/post_kafka_times.py +++ b/extras/opl/post_kafka_times.py @@ -18,7 +18,6 @@ import yaml - """ You want to use this helper if you want to achieve this: diff --git a/setup.py b/setup.py index fe86c25..b9b0854 100644 --- a/setup.py +++ b/setup.py @@ -4,8 +4,8 @@ with open("README.md", "r") as fh: long_description = fh.read() -core_path = os.path.abspath('core') -extras_path = os.path.abspath('extras') +core_path = os.path.abspath("core") +extras_path = os.path.abspath("extras") setuptools.setup( name="opl-rhcloud-perf-team", @@ -16,7 +16,7 @@ long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/redhat-performance/opl", - packages=[], # Explicitly empty + packages=[], # Explicitly empty classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: GNU General Public License (GPL)", @@ -27,7 +27,7 @@ python_requires=">=3.6", install_requires=[ f"opl-rhcloud-perf-team-core @ file://{core_path}", - f"opl-rhcloud-perf-team-extras @ file://{extras_path}" + f"opl-rhcloud-perf-team-extras @ file://{extras_path}", ], extras_require={ "dev": [ From 198b5f6586f286509bc4efd3363ddabbded43d64 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 11:00:18 +0100 Subject: [PATCH 18/19] style: Fix flake8 E226 whitespace issues in extras/ - Added missing whitespace around arithmetic operators in hbi_utils.py and horreum_api.py. Prompt: Please fix issues reported by `find core/ extras/ -name '*.py' -exec flake8 '{}' +` Generated-by: Gemini --- extras/opl/hbi_utils.py | 8 ++++---- extras/opl/horreum_api.py | 10 +++++----- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/extras/opl/hbi_utils.py b/extras/opl/hbi_utils.py index 6b2ddbe..907b7de 100644 --- a/extras/opl/hbi_utils.py +++ b/extras/opl/hbi_utils.py @@ -138,7 +138,7 @@ def verify(args, previous_records, status_data, inventory, collect_info): break elif existing_ids > expected_ids: logging.warning( - f"We have more hosts than expected! We have {existing_ids-previous_records} of {args.count}" + f"We have more hosts than expected! We have {existing_ids - previous_records} of {args.count}" ) break @@ -146,18 +146,18 @@ def verify(args, previous_records, status_data, inventory, collect_info): attempt += 1 if attempt > attempts_max: raise Exception( - f"After {attempt} attempts, we only have {existing_ids-previous_records} out of {args.count}" + f"After {attempt} attempts, we only have {existing_ids - previous_records} out of {args.count}" ) # If there were no new hosts now, wait a bit if existing_ids != expected_ids: logging.debug( - f"Waiting for IDs, attempt {attempt}, remaining {existing_ids-previous_records} out of {args.count}, in total there are {existing_ids} out of {expected_ids} expected hosts in HBI" + f"Waiting for IDs, attempt {attempt}, remaining {existing_ids - previous_records} out of {args.count}, in total there are {existing_ids} out of {expected_ids} expected hosts in HBI" ) time.sleep(15) elif existing_ids > expected_ids: logging.warning( - f"We have more hosts than expected! We have {existing_ids-previous_records} of {args.count}" + f"We have more hosts than expected! We have {existing_ids - previous_records} of {args.count}" ) inventory_cursor.close() diff --git a/extras/opl/horreum_api.py b/extras/opl/horreum_api.py index ba31f0e..b45f4c7 100755 --- a/extras/opl/horreum_api.py +++ b/extras/opl/horreum_api.py @@ -374,7 +374,7 @@ def update_variables(self, test_id: int, variables: List[Dict[str, Any]]) -> boo has_cd = bool(var.get("changeDetection")) cd_count = len(var.get("changeDetection", [])) logger.info( - f" [{i+1}] {var_name} (changeDetection: {has_cd}, entries: {cd_count})" + f" [{i + 1}] {var_name} (changeDetection: {has_cd}, entries: {cd_count})" ) try: @@ -440,7 +440,7 @@ def create_multiple_change_detection_variables(self, test_id, variables_data): ) for i, var in enumerate(variables_data[:10]): # Show first 10 logger.info( - f" {i+1}. {var.get('name', 'N/A')} (group: {var.get('group', 'N/A')})" + f" {i + 1}. {var.get('name', 'N/A')} (group: {var.get('group', 'N/A')})" ) if len(variables_data) > 10: logger.info(f" ... and {len(variables_data) - 10} more") @@ -1550,7 +1550,7 @@ def main(): if label_name in existing_label_names: skipped_labels.append(label_name) logger.warning( - f"Skipped {i+1}/{len(label_defs)}: {label_name} (already exists)" + f"Skipped {i + 1}/{len(label_defs)}: {label_name} (already exists)" ) continue @@ -1558,10 +1558,10 @@ def main(): try: label = api.create_label(schema_id, label_def) created_labels.append(label) - logger.info(f"Created {i+1}/{len(label_defs)}: {label_name}") + logger.info(f"Created {i + 1}/{len(label_defs)}: {label_name}") except Exception as e: failed_labels.append((label_name, str(e))) - logger.error(f"Failed {i+1}/{len(label_defs)}: {label_name} - {e}") + logger.error(f"Failed {i + 1}/{len(label_defs)}: {label_name} - {e}") else: if not skip_labels: logger.warning("Skipping label creation - no valid schema ID") From c7b45c3451fb0f2e51241d85c0f4f2788fba56e3 Mon Sep 17 00:00:00 2001 From: Jan Hutar Date: Mon, 16 Mar 2026 11:40:22 +0100 Subject: [PATCH 19/19] fix: Resolve pylint errors and namespace package import issues - Fix 'no-self-argument' in core/opl/shovel.py. - Convert relative imports to absolute imports to support PEP 420 namespace packages across split directories. - Fix missing 'org_id' argument in extras/opl/generators/qpc_tarball.py. - Replace deprecated 'assertEquals' with 'assertEqual' in extras/opl/rbac_utils.py. - Resolve psycopg2.errors and locust import issues with explicit imports and targeted pylint silences. Prompt: Please fix `find setup.py core/ extras/ -name '*.py' -exec pylint-3 --errors-only '{}' +` in our code Generated-by: Gemini --- .agents/skills/_patterns.md | 918 ++++++ .gemini/settings.json | 1 + DELME/aaa.json | 12 + DELME/aaa.py | 36 + ...fest-excercise-ManifestDelete.log.rdd.json | 11 + ...est-excercise-ManifestRefresh.log.rdd.json | 11 + ...fest-excercise-ManifestUpload.log.rdd.json | 11 + DELME/aaa/09-lce-create-Pre.log.rdd.json | 11 + DELME/aaa/09-lce-create-Prod.log.rdd.json | 11 + DELME/aaa/09-lce-create-QA.log.rdd.json | 11 + DELME/aaa/09-lce-create-Test.log.rdd.json | 11 + DELME/aaa/12-repo-sync-rhel6.log.rdd.json | 11 + DELME/aaa/12-repo-sync-rhel7.log.rdd.json | 11 + .../aaa/12-repo-sync-rhel7extras.log.rdd.json | 11 + .../12-repo-sync-rhel8appstream.log.rdd.json | 11 + .../aaa/12-repo-sync-rhel8baseos.log.rdd.json | 11 + .../12-repo-sync-rhel9appstream.log.rdd.json | 11 + .../aaa/12-repo-sync-rhel9baseos.log.rdd.json | 11 + 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Common Patterns + +This document contains reusable patterns referenced by AI Software Architect skills. These patterns promote consistency and reduce duplication across skills. + +**Note**: This is a reference document, not a skill itself. It does not have YAML frontmatter. + +## Table of Contents + +1. [Tool Permission Pattern](#tool-permission-pattern) +2. [Progressive Disclosure Pattern](#progressive-disclosure-pattern) +3. [Input Validation & Sanitization](#input-validation--sanitization) +4. [Error Handling](#error-handling) +5. [File Loading](#file-loading) +6. [Reporting Format](#reporting-format) +7. [Skill Workflow Template](#skill-workflow-template) + +--- + +## Tool Permission Pattern + +**Status**: ✅ Implemented across all skills (2025-12-04) +**Reference**: [ADR-007](../../.architecture/decisions/adrs/ADR-007-tool-permission-restrictions-for-skills.md) + +All skills MUST declare tool permissions via `allowed-tools` in YAML frontmatter. This implements principle of least privilege and limits blast radius of skill malfunctions. + +### Available Tools + +- **Read**: Read files from filesystem +- **Write**: Create new files +- **Edit**: Modify existing files +- **Glob**: Pattern-based file searching +- **Grep**: Content searching within files +- **Bash**: Execute bash commands (can be scoped) + +### Permission Guidelines + +**Principle of Least Privilege**: Only grant tools actually required for skill operation. + +**Bash Scoping**: Use wildcards to restrict bash commands: +- `Bash(git:*)` - Only git commands +- `Bash(ls:*,grep:*)` - Only ls and grep +- `Bash(npm:*,node:*)` - Only npm and node +- `Bash` - Full bash access (use sparingly) + +### Permission Levels by Skill Type + +**Read-Only Skills** (listing, status checks): +```yaml +allowed-tools: Read +``` + +**Search & Analysis Skills** (scanning, reporting): +```yaml +allowed-tools: Read,Glob,Grep +``` + +**Document Creation Skills** (ADRs, reviews): +```yaml +allowed-tools: Read,Write,Bash(ls:*,grep:*) +``` + +**Document Modification Skills** (updates, edits): +```yaml +allowed-tools: Read,Write,Edit,Glob,Grep +``` + +**Review & Analysis Skills** (comprehensive reviews): +```yaml +allowed-tools: Read,Write,Glob,Grep,Bash(git:*) +``` + +**Configuration Skills** (mode toggles): +```yaml +allowed-tools: Read,Edit +``` + +**Setup & Installation Skills** (framework setup): +```yaml +allowed-tools: Read,Write,Edit,Glob,Grep,Bash +``` + +### Current Skill Permissions + +| Skill | Tools | Rationale | +|-------|-------|-----------| +| `list-members` | `Read` | Only reads members.yml | +| `architecture-status` | `Read,Glob,Grep` | Scans files and searches | +| `create-adr` | `Read,Write,Bash(ls:*,grep:*)` | Creates ADRs, scans for numbering | +| `specialist-review` | `Read,Write,Glob,Grep` | Reviews code, writes reports | +| `architecture-review` | `Read,Write,Glob,Grep,Bash(git:*)` | Full reviews + git status | +| `pragmatic-guard` | `Read,Edit` | Reads/modifies config | +| `setup-architect` | `Read,Write,Edit,Glob,Grep,Bash` | Full installation access | + +### Adding Permissions to New Skills + +When creating a new skill, determine required tools: + +1. **List required operations**: + - Need to read files? → `Read` + - Need to create files? → `Write` + - Need to modify files? → `Edit` + - Need to search by pattern? → `Glob` + - Need to search content? → `Grep` + - Need bash commands? → `Bash(scoped:*)` or `Bash` + +2. **Apply minimum necessary set**: + - Start with minimal permissions + - Add only when operation actually requires it + - Scope Bash to specific command families + +3. **Add to frontmatter**: + ```yaml + --- + name: skill-name + description: ... + allowed-tools: Read,Write,Grep + --- + ``` + +4. **Test thoroughly**: + - Verify skill can perform all operations + - Confirm no permission errors + - Test edge cases + +### Security Considerations + +**Path Traversal**: Tools like Read, Write, Edit are bounded by Claude Code's security model, but skills should still validate user inputs. + +**Command Injection**: When using Bash, always sanitize user inputs using filename sanitization patterns. + +**Wildcard Safety**: Bash scoping reduces but doesn't eliminate risks. Still apply input validation. + +**Audit Regularly**: Review tool permissions when modifying skills to ensure they still follow least privilege. + +### Troubleshooting Permission Errors + +**Error: "Tool X not allowed"** +- Check skill's `allowed-tools` frontmatter +- Add required tool if operation is legitimate +- Consider if operation can be done with allowed tools + +**Error: "Bash command not allowed"** +- If using `Bash(scoped:*)`, ensure command matches scope +- Consider broadening scope: `Bash(git:*,npm:*)` +- As last resort, use full `Bash` access (document why) + +**Permission Too Broad?** +- Review actual tool usage in skill +- Remove unused tools from `allowed-tools` +- Narrow Bash scoping if possible + +--- + +## Progressive Disclosure Pattern + +**Status**: ✅ Implemented (Phase 2 Complete - 2025-12-04) +**Reference**: [ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +Organize complex skills into modular structure: high-level workflow + detailed references + templates. This pattern improves token efficiency, enables content expansion, and dramatically improves maintainability. + +### When to Use Progressive Disclosure + +**Apply pattern when:** +- Skill has distinct workflow vs detailed guidance sections +- Skill >2K words or contains extensive procedural detail +- Skill includes templates that could be extracted +- Future expansion anticipated (tech stacks, examples, checklists) +- Clear separation would improve navigability + +**Keep as flat file when:** +- Skill <2K words with homogeneous content +- Simple reporting or trivial operation +- No clear workflow vs detail separation +- Overhead exceeds benefits + +### Pattern Structure + +``` +skill-name/ +├── SKILL.md # High-level workflow (always loaded) +├── references/ # Detailed docs (loaded on-demand) +│ ├── detailed-process.md # Step-by-step procedures +│ └── integration-guide.md # Configuration and customization +└── assets/ # Templates and static files + └── template.md # Ready-to-use templates +``` + +### SKILL.md (Base Workflow) + +**Purpose**: High-level workflow that's always injected into context + +**Content**: +- YAML frontmatter (name, description, allowed-tools) +- Overview of skill purpose +- High-level workflow steps (numbered) +- Clear references to detailed docs +- Related skills and workflow examples + +**Size Target**: Keep concise - aim for 500-1000 words + +**Example Structure**: +```markdown +--- +name: skill-name +description: Clear description with trigger phrases +allowed-tools: Read,Write,Glob,Grep +--- + +# Skill Title + +Brief description of what this skill does. + +## Overview + +High-level summary (3-5 bullets) + +**Detailed guidance**: [references/detailed-process.md](references/detailed-process.md) +**Template**: [assets/template.md](assets/template.md) + +## High-Level Workflow + +### 1. [Step Name] +Brief description +- Key action +- Key action + +**Detailed procedures**: See [references/detailed-process.md § Step 1] + +### 2. [Step Name] +Brief description + +[Continue with high-level steps] + +## Related Skills +[References to before/after skills] +``` + +### references/ (Detailed Documentation) + +**Purpose**: Comprehensive guidance loaded only when needed + +**Content Types**: +- **Process details**: Step-by-step procedures with verification +- **Integration guides**: Configuration options and customization +- **Specialist guidance**: Expert perspectives and checklists +- **Best practices**: Industry standards and patterns +- **Examples**: Code samples, scenarios, use cases + +**Organization**: +- 1-3 focused reference files per skill +- Each file covers a distinct aspect +- Clear section headers for easy navigation +- Cross-reference to templates when relevant + +**Example references/detailed-process.md**: +```markdown +# Detailed Process: [Skill Name] + +## Prerequisites + +[Requirements and verification steps] + +## Step 1: [Name] + +**Purpose**: [Why this step] + +**Procedure**: +1. [Action] +2. [Action with bash example if needed] +3. [Verification step] + +**Common Issues**: +- [Issue]: [Solution] + +**Example**: +[Code or command example] + +[Continue with remaining steps in detail] +``` + +### assets/ (Templates) + +**Purpose**: Ready-to-use templates and static files + +**Content Types**: +- Document templates (ADRs, reviews, reports) +- Configuration templates (YAML, JSON) +- Code snippets or boilerplate + +**Format**: +- Complete, fillable templates +- Include placeholder text in [brackets] +- Add comments explaining each section +- Provide examples where helpful + +**Example assets/template.md**: +```markdown +# [Template Title] + +**[Field]**: [Value or placeholder] +**[Field]**: [Value] + +## [Section Name] + +[Guidance for filling this section] + +[Example or placeholder content] + +[Continue with complete template structure] +``` + +### Phase 2 Results (Proven Benefits) + +**Skills Refactored**: 3 (architecture-review, setup-architect, specialist-review) + +**Token Efficiency**: +- Variable by starting optimization: 0-34% base reduction +- Average: 13% base reduction across 3 skills +- Annual savings: ~18,380 tokens/year (estimated) + +**Content Expansion**: +- Consistent 300%+ increase per skill +- architecture-review: +375% (791 → 3,757 words) +- setup-architect: +494% (813 → 4,837 words) +- specialist-review: +332% (826 → 3,571 words) +- Average: +400% content expansion + +**Maintainability**: +- 9 new reference and asset files created +- Clear separation: workflow vs procedures vs templates +- Isolated updates without affecting core workflow +- Dramatically improved navigation + +**Key Insight**: Pattern delivers value through multiple dimensions beyond token savings. Even skills with no base reduction gain significant value through content expansion and improved maintainability. + +### Implementation Guidelines + +**1. Analyze Current Skill**: +- Identify workflow steps (high-level) +- Identify detailed procedures (low-level) +- Identify templates embedded inline +- Determine natural separation points + +**2. Create Directory Structure**: +```bash +mkdir -p .claude/skills/skill-name/references +mkdir -p .claude/skills/skill-name/assets +``` + +**3. Extract Content**: +- **To SKILL.md**: Keep workflow, overview, high-level steps +- **To references/**: Move detailed procedures, comprehensive guides +- **To assets/**: Extract templates, configurations + +**4. Add References**: +- Link from SKILL.md to references with relative paths +- Use descriptive section anchors: `references/file.md § Section` +- Keep references concise and navigable + +**5. Test Loading**: +- Verify all reference links work +- Test skill execution with minimal loading +- Test skill execution with full reference loading +- Confirm templates are accessible + +**6. Measure Results**: +- Count words: before vs after (base and total) +- Estimate token savings +- Assess maintainability improvement +- Document in comparisons/ + +### Refactoring Checklist + +- [ ] Skill has clear workflow vs detail separation +- [ ] Created /references/ and /assets/ directories +- [ ] Extracted detailed procedures to references/ +- [ ] Extracted templates to assets/ +- [ ] Streamlined SKILL.md to high-level workflow +- [ ] Added clear references from SKILL.md to detailed docs +- [ ] Updated YAML frontmatter (name, description, allowed-tools) +- [ ] Tested skill execution +- [ ] Verified reference links work +- [ ] Measured before/after metrics (words, tokens) +- [ ] Documented results in .architecture/comparisons/ +- [ ] Updated ARCHITECTURE.md with new structure + +### Best Practices + +**Do**: +- Keep SKILL.md focused on workflow +- Make references/ comprehensive and detailed +- Extract templates to assets/ for reusability +- Use clear, descriptive file names +- Cross-reference between files appropriately +- Test all links after refactoring + +**Don't**: +- Duplicate content between SKILL.md and references/ +- Over-fragment (too many small reference files) +- Break mid-workflow (keep logical steps together) +- Forget to update allowed-tools in frontmatter +- Skip measuring and documenting results + +### Migration Path + +**Existing flat file skill** → **Progressive disclosure**: + +1. Read current SKILL.md and analyze content +2. Create directory structure (references/, assets/) +3. Extract detailed content to references/ +4. Extract templates to assets/ +5. Rewrite SKILL.md as high-level workflow with references +6. Test and verify +7. Measure and document results + +**Estimated effort**: 2-3 hours per skill + +### References + +- [Phase 2 PoC Results](../../.architecture/comparisons/progressive-disclosure-poc-results.md) +- [Phase 2A Results](../../.architecture/comparisons/phase-2a-setup-architect-results.md) +- [Phase 2B Results](../../.architecture/comparisons/phase-2b-specialist-review-results.md) +- [Phase 2 Complete Summary](../../.architecture/comparisons/phase-2-complete-summary.md) +- [ADR-008](../../.architecture/decisions/adrs/ADR-008-progressive-disclosure-pattern-for-large-skills.md) + +--- + +## Input Validation & Sanitization + +### Filename Sanitization Pattern + +Use when converting user input to filenames: + +``` +**Validate and Sanitize Input**: +- Remove path traversal: `..`, `/`, `\` +- Remove dangerous characters: null bytes, control characters +- Convert to lowercase kebab-case: + - Spaces → hyphens + - Remove special characters except hyphens and alphanumerics +- Limit length: max 80-100 characters +- Validate result matches: [a-z0-9-] pattern + +**Examples**: +✅ Valid: "User Authentication" → `user-authentication` +✅ Valid: "React Frontend" → `react-frontend` +❌ Invalid blocked: "../../../etc/passwd" → rejected +❌ Invalid blocked: "test\x00file" → rejected +``` + +### Version Number Validation Pattern + +Use for semantic version numbers: + +``` +**Version Validation**: +- Format: X.Y.Z (e.g., 1.2.3) +- Allow only: digits (0-9) and dots (.) +- Validate: 1-3 numeric segments separated by dots +- Convert dots to hyphens for filenames: 1.2.3 → 1-2-3 + +**Examples**: +✅ Valid: "2.1.0" → `2-1-0` +✅ Valid: "1.0" → `1-0` +❌ Invalid: "v2.1.0" → strip 'v' prefix +❌ Invalid: "2.1.0-beta" → reject or sanitize +``` + +### Specialist Role Validation Pattern + +Use for specialist role names: + +``` +**Role Validation**: +- Allow: letters, numbers, spaces, hyphens +- Convert to title case for display +- Convert to kebab-case for filenames +- Common roles: Security Specialist, Performance Expert, Domain Expert + +**Examples**: +✅ Valid: "Security Specialist" → display as-is, file: `security-specialist` +✅ Valid: "Ruby Expert" → display as-is, file: `ruby-expert` +❌ Invalid: "Security/Admin" → sanitize to `security-admin` +``` + +--- + +## Error Handling + +### Framework Not Set Up Pattern + +Use when .architecture/ doesn't exist: + +```markdown +The AI Software Architect framework is not set up yet. + +To get started: "Setup ai-software-architect" + +Once set up, you'll have: +- Architectural Decision Records (ADRs) +- Architecture reviews with specialized perspectives +- Team of architecture specialists +- Documentation tracking and status monitoring +``` + +### File Not Found Pattern + +Use when required files are missing: + +```markdown +Could not find [file/directory name]. + +This usually means: +1. Framework may not be set up: "Setup ai-software-architect" +2. File was moved or deleted +3. Wrong directory + +Expected location: [path] +``` + +### Permission Error Pattern + +Use for file system permission issues: + +```markdown +Permission denied accessing [file/path]. + +Please check: +1. File permissions: chmod +r [file] +2. Directory permissions: chmod +rx [directory] +3. You have access to this project directory +``` + +### Malformed YAML Pattern + +Use when YAML parsing fails: + +```markdown +Error reading [file]: YAML syntax error + +Common issues: +- Incorrect indentation (use spaces, not tabs) +- Missing quotes around special characters +- Unclosed strings or brackets + +Please check file syntax or restore from template: +[path to template] +``` + +--- + +## File Loading + +### Load Configuration Pattern + +Use for loading config.yml: + +``` +1. Check if `.architecture/config.yml` exists +2. If missing: Use default configuration (pragmatic_mode: disabled) +3. If exists: Parse YAML +4. Extract relevant settings: + - pragmatic_mode.enabled (boolean) + - pragmatic_mode.intensity (strict|balanced|lenient) + - Other mode-specific settings +5. Handle errors gracefully (malformed YAML → use defaults) +``` + +### Load Members Pattern + +Use for loading members.yml: + +``` +1. Check if `.architecture/members.yml` exists +2. If missing: Offer framework setup +3. If exists: Parse YAML +4. Extract member information: + - id, name, title (required) + - specialties, disciplines, skillsets, domains (arrays) + - perspective (string) +5. Validate structure (warn about missing fields) +6. Return array of member objects +``` + +### Load ADR List Pattern + +Use for scanning ADR directory: + +``` +1. Check `.architecture/decisions/adrs/` exists +2. List files matching: ADR-[0-9]+-*.md +3. Extract ADR numbers and titles from filenames +4. Sort by ADR number (numeric sort) +5. Optionally read file headers for: + - Status (Proposed, Accepted, Deprecated, Superseded) + - Date + - Summary +6. Return sorted list with metadata +``` + +--- + +## Reporting Format + +### Success Report Pattern + +Use after successfully completing a skill task: + +```markdown +[Skill Action] Complete: [Target] + +Location: [file path] +[Key metric]: [value] + +Key Points: +- [Point 1] +- [Point 2] +- [Point 3] + +Next Steps: +- [Action 1] +- [Action 2] +``` + +**Example**: +```markdown +ADR Created: Use PostgreSQL Database + +Location: .architecture/decisions/adrs/ADR-005-use-postgresql.md +Status: Accepted + +Key Points: +- Decision: PostgreSQL over MySQL for JSONB support +- Main benefit: Better performance for semi-structured data +- Trade-off: Team needs PostgreSQL expertise + +Next Steps: +- Review with Performance Specialist +- Update deployment documentation +- Plan migration timeline +``` + +### Status Report Pattern + +Use for providing status/health information: + +```markdown +# [Status Type] Report + +**Report Date**: [Date] +**Health Status**: Excellent | Good | Needs Attention | Inactive + +## Summary + +**Key Metrics**: +- [Metric 1]: [value] +- [Metric 2]: [value] +- [Metric 3]: [value] + +## Detailed Findings + +[Sections with specific information] + +## Recommendations + +[Actionable next steps based on current state] +``` + +### Review Report Pattern + +Use for architecture and specialist reviews: + +```markdown +# [Review Type]: [Target] + +**Reviewer**: [Name/Role] +**Date**: [Date] +**Assessment**: Excellent | Good | Adequate | Needs Improvement | Critical Issues + +## Executive Summary +[2-3 sentences] + +**Key Findings**: +- [Finding 1] +- [Finding 2] + +## [Detailed Analysis Sections] + +## Recommendations + +### Immediate (0-2 weeks) +1. **[Action]**: [Details] + +### Short-term (2-8 weeks) +1. **[Action]**: [Details] + +### Long-term (2-6 months) +1. **[Action]**: [Details] +``` + +--- + +## Skill Workflow Template + +### Standard Skill Structure + +All skills should follow this structure: + +```markdown +--- +name: skill-name +description: Clear description with trigger phrases. Use when... Do NOT use for... +allowed-tools: [Read, Write, Edit, Glob, Grep, Bash] # Optional: restrict for security +--- + +# Skill Title + +One-line description of what this skill does. + +## Process + +### 1. [First Step] +- Action item +- Action item + +### 2. [Second Step] +- Action item +- Action item + +[Continue with numbered steps] + +### N. Report to User +[Use appropriate reporting pattern] + +## [Optional Sections] + +### When to Use +- Scenario 1 +- Scenario 2 + +### When NOT to Use +- Scenario 1 +- Scenario 2 + +## Related Skills + +**Before This Skill**: +- "[Related skill]" - [Why] + +**After This Skill**: +- "[Related skill]" - [Why] + +**Workflow Examples**: +1. [Skill chain example 1] +2. [Skill chain example 2] + +## Error Handling +- [Error type]: [How to handle] +- [Error type]: [How to handle] + +## Notes +- Implementation note +- Best practice +- Important consideration +``` + +--- + +## Destructive Operations Safety Pattern + +Use for operations that delete or modify files irreversibly: + +``` +**CRITICAL SAFEGUARDS**: +1. Verify current directory context + - Check for project markers (package.json, .git, README.md, etc.) + - Confirm we're in expected location + +2. Verify target exists and is correct + - Check file/directory exists: `[ -e /path/to/target ]` + - Verify it's what we expect (check contents or structure) + +3. Verify target is safe to modify/delete + - For .git removal: verify it's template repo, not project repo + - Check .git/config contains expected template URL + - Ensure no uncommitted work or important history + +4. Use absolute paths + - Get absolute path: `$(pwd)/relative/path` + - Never use relative paths with rm -rf + +5. Never use wildcards + - ❌ Bad: `rm -rf .architecture/.git*` + - ✅ Good: `rm -rf $(pwd)/.architecture/.git` + +6. Stop and ask if verification fails + - **STOP AND ASK USER** if any check fails + - Explain what failed and why it's unsafe + - Let user confirm or abort + +**Example Safe Deletion**: +```bash +# 1. Verify we're in project root +if [ ! -f "package.json" ] && [ ! -f ".git/config" ]; then + echo "ERROR: Not in project root" + exit 1 +fi + +# 2. Verify target exists +if [ ! -d ".architecture/.git" ]; then + echo "Nothing to remove" + exit 0 +fi + +# 3. Verify it's the template repo +if ! grep -q "ai-software-architect" .architecture/.git/config 2>/dev/null; then + echo "ERROR: .architecture/.git doesn't appear to be template repo" + echo "STOPPING - User confirmation required" + exit 1 +fi + +# 4. Safe removal with absolute path +rm -rf "$(pwd)/.architecture/.git" +``` +``` + +--- + +## Directory Structure Validation Pattern + +Use when skills need specific directory structures: + +``` +**Directory Structure Check**: +1. Check `.architecture/` exists + - If missing: Suggest "Setup ai-software-architect" + +2. Check required subdirectories: + - `.architecture/decisions/adrs/` + - `.architecture/reviews/` + - `.architecture/templates/` + - `.architecture/recalibration/` + - `.architecture/comparisons/` + +3. Create missing subdirectories if skill will use them + - Use: `mkdir -p .architecture/[subdirectory]` + +4. Verify key files exist: + - `.architecture/members.yml` + - `.architecture/principles.md` + - `.architecture/config.yml` (optional, use defaults if missing) + +5. Report issues clearly: + - Missing directories: Create them + - Missing required files: Suggest setup or provide template + - Permission issues: Report and suggest fixes +``` + +--- + +## Usage Notes + +### How to Reference Patterns in Skills + +In skill files, reference patterns like this: + +```markdown +### 3. Validate Input +See [Input Validation & Sanitization](#input-validation--sanitization) in _patterns.md. + +Apply filename sanitization pattern to user-provided title. +``` + +### When to Add New Patterns + +Add new patterns when: +1. Same logic appears in 3+ skills +2. Pattern solves a common problem +3. Pattern improves security or reliability +4. Pattern promotes consistency + +### When NOT to Extract Patterns + +Don't extract when: +1. Logic is skill-specific +2. Pattern would be more complex than inline code +3. Pattern only used in 1-2 skills +4. Extraction reduces clarity + +--- + +## Version History + +**v1.2** (2025-12-04) +- Added progressive disclosure pattern (ADR-008) +- Documented modular skill structure (SKILL.md + /references/ + /assets/) +- Included Phase 2 proven results and metrics +- Added implementation guidelines and refactoring checklist +- Provided best practices for applying pattern +- Added migration path for existing skills + +**v1.1** (2025-12-04) +- Added tool permission pattern (ADR-007) +- Documented `allowed-tools` frontmatter requirement +- Added permission guidelines by skill type +- Added Bash scoping examples +- Added security considerations for tool permissions +- Added troubleshooting guide for permission errors + +**v1.0** (2025-11-12) +- Initial patterns document +- Input validation patterns +- Error handling patterns +- File loading patterns +- Reporting format patterns +- Skill workflow template +- Destructive operations safety pattern +- Directory structure validation pattern diff --git a/.gemini/settings.json b/.gemini/settings.json new file mode 100644 index 0000000..0967ef4 --- /dev/null +++ b/.gemini/settings.json @@ -0,0 +1 @@ +{} diff --git a/DELME/aaa.json b/DELME/aaa.json new file mode 100644 index 0000000..2e29c88 --- /dev/null +++ b/DELME/aaa.json @@ -0,0 +1,12 @@ +{ + "a": 42, + "date": "2024-06-09T15:53:25+00:00", + "group": "Core Platforms", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-5096-duration.log", + "product": "Red Hat Satellite", + "release": "stream", + "result": "FAIL", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-5096-duration", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch" +} \ No newline at end of file diff --git a/DELME/aaa.py b/DELME/aaa.py new file mode 100755 index 0000000..e724f45 --- /dev/null +++ b/DELME/aaa.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python + + +import csv +import unittest.mock + +HISTORY_NORMAL = """metric1,metric2 +5,1000 +6,995 +4,1000 +5,1005 +""" + + +# https://stackoverflow.com/questions/26783678/python-mock-builtin-open-in-a-class-using-two-different-files +def get_mock_open(files: dict[str, str]): + def my_mock_open(filename, *args, **kwargs): + if filename in files: + i = unittest.mock.mock_open(read_data=files[filename]).return_value + i.name = filename + return i + raise FileNotFoundError(f"(mock) Unable to open {filename}") + + return unittest.mock.MagicMock(side_effect=my_mock_open) + + +files = { + "/tmp/history.csv": HISTORY_NORMAL, +} + +#for i in [1]: +with unittest.mock.patch("builtins.open", get_mock_open(files)) as m: + with open("/tmp/history.csv", "r", newline="") as fd: + reader = csv.DictReader(fd) + for row in reader: + print(f"Processing {row}") diff --git a/DELME/aaa/01-manifest-excercise-ManifestDelete.log.rdd.json b/DELME/aaa/01-manifest-excercise-ManifestDelete.log.rdd.json new file mode 100644 index 0000000..84138f6 --- /dev/null +++ b/DELME/aaa/01-manifest-excercise-ManifestDelete.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:42:44+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/01-manifest-excercise-ManifestDelete.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "01-manifest-excercise-ManifestDelete", + "result": "FAIL" +} diff --git a/DELME/aaa/01-manifest-excercise-ManifestRefresh.log.rdd.json b/DELME/aaa/01-manifest-excercise-ManifestRefresh.log.rdd.json new file mode 100644 index 0000000..246fde8 --- /dev/null +++ b/DELME/aaa/01-manifest-excercise-ManifestRefresh.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:42:38+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/01-manifest-excercise-ManifestRefresh.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "01-manifest-excercise-ManifestRefresh", + "result": "FAIL" +} diff --git a/DELME/aaa/01-manifest-excercise-ManifestUpload.log.rdd.json b/DELME/aaa/01-manifest-excercise-ManifestUpload.log.rdd.json new file mode 100644 index 0000000..67ec3c5 --- /dev/null +++ b/DELME/aaa/01-manifest-excercise-ManifestUpload.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:42:29+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/01-manifest-excercise-ManifestUpload.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "01-manifest-excercise-ManifestUpload", + "result": "FAIL" +} diff --git a/DELME/aaa/09-lce-create-Pre.log.rdd.json b/DELME/aaa/09-lce-create-Pre.log.rdd.json new file mode 100644 index 0000000..251e10d --- /dev/null +++ b/DELME/aaa/09-lce-create-Pre.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:48:21+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/09-lce-create-Pre.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "09-lce-create-Pre", + "result": "FAIL" +} diff --git a/DELME/aaa/09-lce-create-Prod.log.rdd.json b/DELME/aaa/09-lce-create-Prod.log.rdd.json new file mode 100644 index 0000000..38bdb1f --- /dev/null +++ b/DELME/aaa/09-lce-create-Prod.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:48:28+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/09-lce-create-Prod.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "09-lce-create-Prod", + "result": "PASS" +} diff --git a/DELME/aaa/09-lce-create-QA.log.rdd.json b/DELME/aaa/09-lce-create-QA.log.rdd.json new file mode 100644 index 0000000..4f63653 --- /dev/null +++ b/DELME/aaa/09-lce-create-QA.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:48:14+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/09-lce-create-QA.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "09-lce-create-QA", + "result": "PASS" +} diff --git a/DELME/aaa/09-lce-create-Test.log.rdd.json b/DELME/aaa/09-lce-create-Test.log.rdd.json new file mode 100644 index 0000000..65742f3 --- /dev/null +++ b/DELME/aaa/09-lce-create-Test.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:48:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/09-lce-create-Test.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "09-lce-create-Test", + "result": "PASS" +} diff --git a/DELME/aaa/12-repo-sync-rhel6.log.rdd.json b/DELME/aaa/12-repo-sync-rhel6.log.rdd.json new file mode 100644 index 0000000..961916f --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel6.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:48:56+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel6.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel6", + "result": "FAIL" +} diff --git a/DELME/aaa/12-repo-sync-rhel7.log.rdd.json b/DELME/aaa/12-repo-sync-rhel7.log.rdd.json new file mode 100644 index 0000000..56766b5 --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel7.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T07:53:58+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel7.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel7", + "result": "FAIL" +} diff --git a/DELME/aaa/12-repo-sync-rhel7extras.log.rdd.json b/DELME/aaa/12-repo-sync-rhel7extras.log.rdd.json new file mode 100644 index 0000000..044f50c --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel7extras.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:01:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel7extras.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel7extras", + "result": "FAIL" +} diff --git a/DELME/aaa/12-repo-sync-rhel8appstream.log.rdd.json b/DELME/aaa/12-repo-sync-rhel8appstream.log.rdd.json new file mode 100644 index 0000000..bae7a49 --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel8appstream.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:05:35+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel8appstream.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel8appstream", + "result": "FAIL" +} diff --git a/DELME/aaa/12-repo-sync-rhel8baseos.log.rdd.json b/DELME/aaa/12-repo-sync-rhel8baseos.log.rdd.json new file mode 100644 index 0000000..804a995 --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel8baseos.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:01:45+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel8baseos.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel8baseos", + "result": "FAIL" +} diff --git a/DELME/aaa/12-repo-sync-rhel9appstream.log.rdd.json b/DELME/aaa/12-repo-sync-rhel9appstream.log.rdd.json new file mode 100644 index 0000000..c8d762e --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel9appstream.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:15:26+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel9appstream.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel9appstream", + "result": "FAIL" +} diff --git a/DELME/aaa/12-repo-sync-rhel9baseos.log.rdd.json b/DELME/aaa/12-repo-sync-rhel9baseos.log.rdd.json new file mode 100644 index 0000000..ac3f371 --- /dev/null +++ b/DELME/aaa/12-repo-sync-rhel9baseos.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:13:40+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/12-repo-sync-rhel9baseos.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "12-repo-sync-rhel9baseos", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-create-rhel6-os.log.rdd.json b/DELME/aaa/13b-cv-create-rhel6-os.log.rdd.json new file mode 100644 index 0000000..40366e5 --- /dev/null +++ b/DELME/aaa/13b-cv-create-rhel6-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:19:25+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-create-rhel6-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-create-rhel6-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-create-rhel7-os.log.rdd.json b/DELME/aaa/13b-cv-create-rhel7-os.log.rdd.json new file mode 100644 index 0000000..da63362 --- /dev/null +++ b/DELME/aaa/13b-cv-create-rhel7-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:21:27+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-create-rhel7-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-create-rhel7-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-create-rhel8-os.log.rdd.json b/DELME/aaa/13b-cv-create-rhel8-os.log.rdd.json new file mode 100644 index 0000000..b948429 --- /dev/null +++ b/DELME/aaa/13b-cv-create-rhel8-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:23:49+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-create-rhel8-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-create-rhel8-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-create-rhel9-os.log.rdd.json b/DELME/aaa/13b-cv-create-rhel9-os.log.rdd.json new file mode 100644 index 0000000..9985f1f --- /dev/null +++ b/DELME/aaa/13b-cv-create-rhel9-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:26:13+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-create-rhel9-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-create-rhel9-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-publish-rhel6-os.log.rdd.json b/DELME/aaa/13b-cv-publish-rhel6-os.log.rdd.json new file mode 100644 index 0000000..c40664d --- /dev/null +++ b/DELME/aaa/13b-cv-publish-rhel6-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:19:32+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-publish-rhel6-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-publish-rhel6-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-publish-rhel7-os.log.rdd.json b/DELME/aaa/13b-cv-publish-rhel7-os.log.rdd.json new file mode 100644 index 0000000..2cbc63c --- /dev/null +++ b/DELME/aaa/13b-cv-publish-rhel7-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:21:34+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-publish-rhel7-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-publish-rhel7-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-publish-rhel8-os.log.rdd.json b/DELME/aaa/13b-cv-publish-rhel8-os.log.rdd.json new file mode 100644 index 0000000..08bb28d --- /dev/null +++ b/DELME/aaa/13b-cv-publish-rhel8-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:23:56+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-publish-rhel8-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-publish-rhel8-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13b-cv-publish-rhel9-os.log.rdd.json b/DELME/aaa/13b-cv-publish-rhel9-os.log.rdd.json new file mode 100644 index 0000000..9dba32c --- /dev/null +++ b/DELME/aaa/13b-cv-publish-rhel9-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:26:20+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13b-cv-publish-rhel9-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13b-cv-publish-rhel9-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-component-add-rhel6-os.log.rdd.json b/DELME/aaa/13c-ccv-component-add-rhel6-os.log.rdd.json new file mode 100644 index 0000000..2840a3e --- /dev/null +++ b/DELME/aaa/13c-ccv-component-add-rhel6-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:19:59+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-component-add-rhel6-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-component-add-rhel6-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-component-add-rhel7-os.log.rdd.json b/DELME/aaa/13c-ccv-component-add-rhel7-os.log.rdd.json new file mode 100644 index 0000000..1988dd2 --- /dev/null +++ b/DELME/aaa/13c-ccv-component-add-rhel7-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:22:03+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-component-add-rhel7-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-component-add-rhel7-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-component-add-rhel8-os.log.rdd.json b/DELME/aaa/13c-ccv-component-add-rhel8-os.log.rdd.json new file mode 100644 index 0000000..85a7265 --- /dev/null +++ b/DELME/aaa/13c-ccv-component-add-rhel8-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:24:26+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-component-add-rhel8-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-component-add-rhel8-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-component-add-rhel9-os.log.rdd.json b/DELME/aaa/13c-ccv-component-add-rhel9-os.log.rdd.json new file mode 100644 index 0000000..6f7734c --- /dev/null +++ b/DELME/aaa/13c-ccv-component-add-rhel9-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:26:46+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-component-add-rhel9-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-component-add-rhel9-os", + "result": "PASS" +} diff --git a/DELME/aaa/13c-ccv-create-rhel6.log.rdd.json b/DELME/aaa/13c-ccv-create-rhel6.log.rdd.json new file mode 100644 index 0000000..a9a0d01 --- /dev/null +++ b/DELME/aaa/13c-ccv-create-rhel6.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:19:52+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-create-rhel6.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-create-rhel6", + "result": "PASS" +} diff --git a/DELME/aaa/13c-ccv-create-rhel7.log.rdd.json b/DELME/aaa/13c-ccv-create-rhel7.log.rdd.json new file mode 100644 index 0000000..143741b --- /dev/null +++ b/DELME/aaa/13c-ccv-create-rhel7.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:21:56+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-create-rhel7.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-create-rhel7", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-create-rhel8.log.rdd.json b/DELME/aaa/13c-ccv-create-rhel8.log.rdd.json new file mode 100644 index 0000000..b08d339 --- /dev/null +++ b/DELME/aaa/13c-ccv-create-rhel8.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:24:19+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-create-rhel8.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-create-rhel8", + "result": "PASS" +} diff --git a/DELME/aaa/13c-ccv-create-rhel9.log.rdd.json b/DELME/aaa/13c-ccv-create-rhel9.log.rdd.json new file mode 100644 index 0000000..c99cd14 --- /dev/null +++ b/DELME/aaa/13c-ccv-create-rhel9.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:26:39+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-create-rhel9.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-create-rhel9", + "result": "PASS" +} diff --git a/DELME/aaa/13c-ccv-publish-rhel6-os.log.rdd.json b/DELME/aaa/13c-ccv-publish-rhel6-os.log.rdd.json new file mode 100644 index 0000000..99c0e49 --- /dev/null +++ b/DELME/aaa/13c-ccv-publish-rhel6-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:20:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-publish-rhel6-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-publish-rhel6-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-publish-rhel7-os.log.rdd.json b/DELME/aaa/13c-ccv-publish-rhel7-os.log.rdd.json new file mode 100644 index 0000000..2da3781 --- /dev/null +++ b/DELME/aaa/13c-ccv-publish-rhel7-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:22:11+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-publish-rhel7-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-publish-rhel7-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-publish-rhel8-os.log.rdd.json b/DELME/aaa/13c-ccv-publish-rhel8-os.log.rdd.json new file mode 100644 index 0000000..4c31973 --- /dev/null +++ b/DELME/aaa/13c-ccv-publish-rhel8-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:24:34+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-publish-rhel8-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-publish-rhel8-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13c-ccv-publish-rhel9-os.log.rdd.json b/DELME/aaa/13c-ccv-publish-rhel9-os.log.rdd.json new file mode 100644 index 0000000..15a4c3b --- /dev/null +++ b/DELME/aaa/13c-ccv-publish-rhel9-os.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:26:54+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13c-ccv-publish-rhel9-os.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13c-ccv-publish-rhel9-os", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel6-Pre.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel6-Pre.log.rdd.json new file mode 100644 index 0000000..cbd2e9b --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel6-Pre.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:20:55+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel6-Pre.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel6-Pre", + "result": "PASS" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel6-Prod.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel6-Prod.log.rdd.json new file mode 100644 index 0000000..46ef8f1 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel6-Prod.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:21:08+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel6-Prod.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel6-Prod", + "result": "ERROR" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel6-QA.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel6-QA.log.rdd.json new file mode 100644 index 0000000..27325fd --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel6-QA.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:20:42+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel6-QA.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel6-QA", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel6-Test.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel6-Test.log.rdd.json new file mode 100644 index 0000000..0063032 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel6-Test.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:20:27+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel6-Test.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel6-Test", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel7-Pre.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel7-Pre.log.rdd.json new file mode 100644 index 0000000..24a731f --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel7-Pre.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:23:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel7-Pre.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel7-Pre", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel7-Prod.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel7-Prod.log.rdd.json new file mode 100644 index 0000000..0ebad8e --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel7-Prod.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:23:25+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel7-Prod.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel7-Prod", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel7-QA.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel7-QA.log.rdd.json new file mode 100644 index 0000000..94e9600 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel7-QA.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:22:52+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel7-QA.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel7-QA", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel7-Test.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel7-Test.log.rdd.json new file mode 100644 index 0000000..5a23491 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel7-Test.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:22:36+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel7-Test.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel7-Test", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel8-Pre.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel8-Pre.log.rdd.json new file mode 100644 index 0000000..96199cc --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel8-Pre.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:25:34+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel8-Pre.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel8-Pre", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel8-Prod.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel8-Prod.log.rdd.json new file mode 100644 index 0000000..6a4ee10 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel8-Prod.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:25:51+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel8-Prod.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel8-Prod", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel8-QA.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel8-QA.log.rdd.json new file mode 100644 index 0000000..c257682 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel8-QA.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:25:18+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel8-QA.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel8-QA", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel8-Test.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel8-Test.log.rdd.json new file mode 100644 index 0000000..2c4248e --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel8-Test.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:25:00+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel8-Test.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel8-Test", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel9-Pre.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel9-Pre.log.rdd.json new file mode 100644 index 0000000..885d98e --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel9-Pre.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:27:48+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel9-Pre.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel9-Pre", + "result": "ERROR" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel9-Prod.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel9-Prod.log.rdd.json new file mode 100644 index 0000000..87e1ae8 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel9-Prod.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:28:04+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel9-Prod.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel9-Prod", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel9-QA.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel9-QA.log.rdd.json new file mode 100644 index 0000000..df61dbf --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel9-QA.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:27:33+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel9-QA.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel9-QA", + "result": "FAIL" +} diff --git a/DELME/aaa/13d-ccv-promote-rhel9-Test.log.rdd.json b/DELME/aaa/13d-ccv-promote-rhel9-Test.log.rdd.json new file mode 100644 index 0000000..007f687 --- /dev/null +++ b/DELME/aaa/13d-ccv-promote-rhel9-Test.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:27:17+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/13d-ccv-promote-rhel9-Test.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "13d-ccv-promote-rhel9-Test", + "result": "FAIL" +} diff --git a/DELME/aaa/14-capsync-populate.log.rdd.json b/DELME/aaa/14-capsync-populate.log.rdd.json new file mode 100644 index 0000000..1bd7645 --- /dev/null +++ b/DELME/aaa/14-capsync-populate.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T08:28:20+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/14-capsync-populate.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "14-capsync-populate", + "result": "FAIL" +} diff --git a/DELME/aaa/21-cv-publish-big.log.rdd.json b/DELME/aaa/21-cv-publish-big.log.rdd.json new file mode 100644 index 0000000..47e9604 --- /dev/null +++ b/DELME/aaa/21-cv-publish-big.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:00:17+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/21-cv-publish-big.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "21-cv-publish-big", + "result": "FAIL" +} diff --git a/DELME/aaa/23-cv-promote-big-BenchLifeEnvAAA-BenchLifeEnvBBB.log.rdd.json b/DELME/aaa/23-cv-promote-big-BenchLifeEnvAAA-BenchLifeEnvBBB.log.rdd.json new file mode 100644 index 0000000..7dd5bf7 --- /dev/null +++ b/DELME/aaa/23-cv-promote-big-BenchLifeEnvAAA-BenchLifeEnvBBB.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:01:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/23-cv-promote-big-BenchLifeEnvAAA-BenchLifeEnvBBB.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "23-cv-promote-big-BenchLifeEnvAAA-BenchLifeEnvBBB", + "result": "FAIL" +} diff --git a/DELME/aaa/23-cv-promote-big-BenchLifeEnvBBB-BenchLifeEnvCCC.log.rdd.json b/DELME/aaa/23-cv-promote-big-BenchLifeEnvBBB-BenchLifeEnvCCC.log.rdd.json new file mode 100644 index 0000000..887b367 --- /dev/null +++ b/DELME/aaa/23-cv-promote-big-BenchLifeEnvBBB-BenchLifeEnvCCC.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:01:27+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/23-cv-promote-big-BenchLifeEnvBBB-BenchLifeEnvCCC.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "23-cv-promote-big-BenchLifeEnvBBB-BenchLifeEnvCCC", + "result": "FAIL" +} diff --git a/DELME/aaa/23-cv-promote-big-Library-BenchLifeEnvAAA.log.rdd.json b/DELME/aaa/23-cv-promote-big-Library-BenchLifeEnvAAA.log.rdd.json new file mode 100644 index 0000000..d7480f7 --- /dev/null +++ b/DELME/aaa/23-cv-promote-big-Library-BenchLifeEnvAAA.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:00:46+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/23-cv-promote-big-Library-BenchLifeEnvAAA.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "23-cv-promote-big-Library-BenchLifeEnvAAA", + "result": "FAIL" +} diff --git a/DELME/aaa/33-cv-filtered-publish.log.rdd.json b/DELME/aaa/33-cv-filtered-publish.log.rdd.json new file mode 100644 index 0000000..ae67249 --- /dev/null +++ b/DELME/aaa/33-cv-filtered-publish.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:02:03+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/33-cv-filtered-publish.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "33-cv-filtered-publish", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-112-Register.log.rdd.json b/DELME/aaa/48-register-112-Register.log.rdd.json new file mode 100644 index 0000000..aa74b17 --- /dev/null +++ b/DELME/aaa/48-register-112-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:34:18+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-112-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-112-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-168-Register.log.rdd.json b/DELME/aaa/48-register-168-Register.log.rdd.json new file mode 100644 index 0000000..218bb8c --- /dev/null +++ b/DELME/aaa/48-register-168-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:40:35+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-168-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-168-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-224-Register.log.rdd.json b/DELME/aaa/48-register-224-Register.log.rdd.json new file mode 100644 index 0000000..4ebf66f --- /dev/null +++ b/DELME/aaa/48-register-224-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:50:25+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-224-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-224-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-280-Register.log.rdd.json b/DELME/aaa/48-register-280-Register.log.rdd.json new file mode 100644 index 0000000..472a3a7 --- /dev/null +++ b/DELME/aaa/48-register-280-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T18:59:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-280-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-280-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-336-Register.log.rdd.json b/DELME/aaa/48-register-336-Register.log.rdd.json new file mode 100644 index 0000000..691b797 --- /dev/null +++ b/DELME/aaa/48-register-336-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T10:29:26+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-336-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-336-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-392-Register.log.rdd.json b/DELME/aaa/48-register-392-Register.log.rdd.json new file mode 100644 index 0000000..4dbcc76 --- /dev/null +++ b/DELME/aaa/48-register-392-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T10:59:01+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-392-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-392-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-448-Register.log.rdd.json b/DELME/aaa/48-register-448-Register.log.rdd.json new file mode 100644 index 0000000..ee11508 --- /dev/null +++ b/DELME/aaa/48-register-448-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T11:32:00+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-448-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-448-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-504-Register.log.rdd.json b/DELME/aaa/48-register-504-Register.log.rdd.json new file mode 100644 index 0000000..fe3ceef --- /dev/null +++ b/DELME/aaa/48-register-504-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T12:12:27+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-504-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-504-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-56-Register.log.rdd.json b/DELME/aaa/48-register-56-Register.log.rdd.json new file mode 100644 index 0000000..0682f12 --- /dev/null +++ b/DELME/aaa/48-register-56-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:29:54+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-56-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-56-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-560-Register.log.rdd.json b/DELME/aaa/48-register-560-Register.log.rdd.json new file mode 100644 index 0000000..bc260a1 --- /dev/null +++ b/DELME/aaa/48-register-560-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T12:57:03+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-560-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-560-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-616-Register.log.rdd.json b/DELME/aaa/48-register-616-Register.log.rdd.json new file mode 100644 index 0000000..478c13d --- /dev/null +++ b/DELME/aaa/48-register-616-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T13:44:30+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-616-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-616-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-672-Register.log.rdd.json b/DELME/aaa/48-register-672-Register.log.rdd.json new file mode 100644 index 0000000..8052f00 --- /dev/null +++ b/DELME/aaa/48-register-672-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T14:35:40+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-672-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-672-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-728-Register.log.rdd.json b/DELME/aaa/48-register-728-Register.log.rdd.json new file mode 100644 index 0000000..b575639 --- /dev/null +++ b/DELME/aaa/48-register-728-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T15:32:01+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-728-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-728-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-784-Register.log.rdd.json b/DELME/aaa/48-register-784-Register.log.rdd.json new file mode 100644 index 0000000..efb773b --- /dev/null +++ b/DELME/aaa/48-register-784-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T16:36:31+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-784-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-784-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-840-Register.log.rdd.json b/DELME/aaa/48-register-840-Register.log.rdd.json new file mode 100644 index 0000000..fa04c8e --- /dev/null +++ b/DELME/aaa/48-register-840-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T17:42:53+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-840-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-840-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/48-register-overall-Register.log.rdd.json b/DELME/aaa/48-register-overall-Register.log.rdd.json new file mode 100644 index 0000000..50eb64d --- /dev/null +++ b/DELME/aaa/48-register-overall-Register.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:29:54+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/48-register-overall-Register.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "48-register-overall-Register", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-1176-duration.log.rdd.json b/DELME/aaa/55-rex-date-1176-duration.log.rdd.json new file mode 100644 index 0000000..7bf056b --- /dev/null +++ b/DELME/aaa/55-rex-date-1176-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T10:37:57+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-1176-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-1176-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-1568-duration.log.rdd.json b/DELME/aaa/55-rex-date-1568-duration.log.rdd.json new file mode 100644 index 0000000..57aee14 --- /dev/null +++ b/DELME/aaa/55-rex-date-1568-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T11:08:43+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-1568-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-1568-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-168-duration.log.rdd.json b/DELME/aaa/55-rex-date-168-duration.log.rdd.json new file mode 100644 index 0000000..5f025c5 --- /dev/null +++ b/DELME/aaa/55-rex-date-168-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:38:00+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-168-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-168-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-2016-duration.log.rdd.json b/DELME/aaa/55-rex-date-2016-duration.log.rdd.json new file mode 100644 index 0000000..7fe684a --- /dev/null +++ b/DELME/aaa/55-rex-date-2016-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T11:45:54+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-2016-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-2016-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-2520-duration.log.rdd.json b/DELME/aaa/55-rex-date-2520-duration.log.rdd.json new file mode 100644 index 0000000..7e079b3 --- /dev/null +++ b/DELME/aaa/55-rex-date-2520-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T12:27:14+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-2520-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-2520-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-3080-duration.log.rdd.json b/DELME/aaa/55-rex-date-3080-duration.log.rdd.json new file mode 100644 index 0000000..e6cb88c --- /dev/null +++ b/DELME/aaa/55-rex-date-3080-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T13:12:28+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-3080-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-3080-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-336-duration.log.rdd.json b/DELME/aaa/55-rex-date-336-duration.log.rdd.json new file mode 100644 index 0000000..52505f4 --- /dev/null +++ b/DELME/aaa/55-rex-date-336-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:45:46+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-336-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-336-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-3696-duration.log.rdd.json b/DELME/aaa/55-rex-date-3696-duration.log.rdd.json new file mode 100644 index 0000000..05d639b --- /dev/null +++ b/DELME/aaa/55-rex-date-3696-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T14:00:20+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-3696-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-3696-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-4368-duration.log.rdd.json b/DELME/aaa/55-rex-date-4368-duration.log.rdd.json new file mode 100644 index 0000000..fe5fb88 --- /dev/null +++ b/DELME/aaa/55-rex-date-4368-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T14:53:19+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-4368-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-4368-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-5096-duration.log.rdd.json b/DELME/aaa/55-rex-date-5096-duration.log.rdd.json new file mode 100644 index 0000000..cdd8621 --- /dev/null +++ b/DELME/aaa/55-rex-date-5096-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T15:53:25+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-5096-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-5096-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-56-duration.log.rdd.json b/DELME/aaa/55-rex-date-56-duration.log.rdd.json new file mode 100644 index 0000000..8342b57 --- /dev/null +++ b/DELME/aaa/55-rex-date-56-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:31:48+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-56-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-56-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-560-duration.log.rdd.json b/DELME/aaa/55-rex-date-560-duration.log.rdd.json new file mode 100644 index 0000000..f7fd9ec --- /dev/null +++ b/DELME/aaa/55-rex-date-560-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:57:12+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-560-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-560-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-5880-duration.log.rdd.json b/DELME/aaa/55-rex-date-5880-duration.log.rdd.json new file mode 100644 index 0000000..7f0e829 --- /dev/null +++ b/DELME/aaa/55-rex-date-5880-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T16:56:21+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-5880-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-5880-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-6720-duration.log.rdd.json b/DELME/aaa/55-rex-date-6720-duration.log.rdd.json new file mode 100644 index 0000000..0317e92 --- /dev/null +++ b/DELME/aaa/55-rex-date-6720-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T18:06:07+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-6720-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-6720-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-7000-duration.log.rdd.json b/DELME/aaa/55-rex-date-7000-duration.log.rdd.json new file mode 100644 index 0000000..f437e06 --- /dev/null +++ b/DELME/aaa/55-rex-date-7000-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T19:07:33+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-7000-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-7000-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/55-rex-date-840-duration.log.rdd.json b/DELME/aaa/55-rex-date-840-duration.log.rdd.json new file mode 100644 index 0000000..3a948e9 --- /dev/null +++ b/DELME/aaa/55-rex-date-840-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T10:10:30+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/55-rex-date-840-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "55-rex-date-840-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-1176-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-1176-duration.log.rdd.json new file mode 100644 index 0000000..ad287a1 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-1176-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T10:53:27+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-1176-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-1176-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-1568-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-1568-duration.log.rdd.json new file mode 100644 index 0000000..bb28342 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-1568-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T11:25:18+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-1568-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-1568-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-168-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-168-duration.log.rdd.json new file mode 100644 index 0000000..c872a5f --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-168-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:39:15+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-168-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-168-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-2016-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-2016-duration.log.rdd.json new file mode 100644 index 0000000..14f6891 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-2016-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T12:03:37+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-2016-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-2016-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-2520-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-2520-duration.log.rdd.json new file mode 100644 index 0000000..e3516b7 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-2520-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T12:46:04+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-2520-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-2520-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-3080-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-3080-duration.log.rdd.json new file mode 100644 index 0000000..73a7c72 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-3080-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T13:31:26+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-3080-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-3080-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-336-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-336-duration.log.rdd.json new file mode 100644 index 0000000..27809b7 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-336-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:48:03+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-336-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-336-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-3696-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-3696-duration.log.rdd.json new file mode 100644 index 0000000..85f565c --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-3696-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T14:20:26+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-3696-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-3696-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-4368-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-4368-duration.log.rdd.json new file mode 100644 index 0000000..361559d --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-4368-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T15:13:34+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-4368-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-4368-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-5096-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-5096-duration.log.rdd.json new file mode 100644 index 0000000..ab9a374 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-5096-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T16:14:53+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-5096-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-5096-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-56-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-56-duration.log.rdd.json new file mode 100644 index 0000000..f4fc14b --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-56-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:33:00+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-56-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-56-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-560-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-560-duration.log.rdd.json new file mode 100644 index 0000000..34583bf --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-560-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T09:59:31+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-560-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-560-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-5880-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-5880-duration.log.rdd.json new file mode 100644 index 0000000..24d34fe --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-5880-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T17:19:02+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-5880-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-5880-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-6720-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-6720-duration.log.rdd.json new file mode 100644 index 0000000..803b6f5 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-6720-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T18:32:04+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-6720-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-6720-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-7000-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-7000-duration.log.rdd.json new file mode 100644 index 0000000..3e526e9 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-7000-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T19:34:31+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-7000-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-7000-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/56-rex-date-ansible-840-duration.log.rdd.json b/DELME/aaa/56-rex-date-ansible-840-duration.log.rdd.json new file mode 100644 index 0000000..ae5d610 --- /dev/null +++ b/DELME/aaa/56-rex-date-ansible-840-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T10:24:56+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/56-rex-date-ansible-840-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "56-rex-date-ansible-840-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/59-rex-katello_package_update-7000-duration.log.rdd.json b/DELME/aaa/59-rex-katello_package_update-7000-duration.log.rdd.json new file mode 100644 index 0000000..f001c2a --- /dev/null +++ b/DELME/aaa/59-rex-katello_package_update-7000-duration.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T20:03:45+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/59-rex-katello_package_update-7000-duration.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "59-rex-katello_package_update-7000-duration", + "result": "FAIL" +} diff --git a/DELME/aaa/61-hammer-list-HammerHostList.log.rdd.json b/DELME/aaa/61-hammer-list-HammerHostList.log.rdd.json new file mode 100644 index 0000000..1e66b23 --- /dev/null +++ b/DELME/aaa/61-hammer-list-HammerHostList.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T21:49:36+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/61-hammer-list-HammerHostList.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "61-hammer-list-HammerHostList", + "result": "FAIL" +} diff --git a/DELME/aaa/61-hammer-list.log.rdd.json b/DELME/aaa/61-hammer-list.log.rdd.json new file mode 100644 index 0000000..6005de3 --- /dev/null +++ b/DELME/aaa/61-hammer-list.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T21:49:35+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/61-hammer-list.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "61-hammer-list", + "result": "FAIL" +} diff --git a/DELME/aaa/62-webui-pages-WebUIPagesTest_c10_d300.log.rdd.json b/DELME/aaa/62-webui-pages-WebUIPagesTest_c10_d300.log.rdd.json new file mode 100644 index 0000000..8c9fdcb --- /dev/null +++ b/DELME/aaa/62-webui-pages-WebUIPagesTest_c10_d300.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T21:53:05+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/62-webui-pages-WebUIPagesTest_c10_d300.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "62-webui-pages-WebUIPagesTest_c10_d300", + "result": "FAIL" +} diff --git a/DELME/aaa/63-foreman_inventory_upload-report-generate.log.rdd.json b/DELME/aaa/63-foreman_inventory_upload-report-generate.log.rdd.json new file mode 100644 index 0000000..f2bec5f --- /dev/null +++ b/DELME/aaa/63-foreman_inventory_upload-report-generate.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T21:58:12+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/63-foreman_inventory_upload-report-generate.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "63-foreman_inventory_upload-report-generate", + "result": "FAIL" +} diff --git a/DELME/aaa/70-backup-BackupOffline.log.rdd.json b/DELME/aaa/70-backup-BackupOffline.log.rdd.json new file mode 100644 index 0000000..58545da --- /dev/null +++ b/DELME/aaa/70-backup-BackupOffline.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:15:49+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/70-backup-BackupOffline.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "70-backup-BackupOffline", + "result": "FAIL" +} diff --git a/DELME/aaa/70-backup-BackupOnline.log.rdd.json b/DELME/aaa/70-backup-BackupOnline.log.rdd.json new file mode 100644 index 0000000..f75a4cf --- /dev/null +++ b/DELME/aaa/70-backup-BackupOnline.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T21:58:41+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/70-backup-BackupOnline.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "70-backup-BackupOnline", + "result": "FAIL" +} diff --git a/DELME/aaa/70-backup-RestoreOffline.log.rdd.json b/DELME/aaa/70-backup-RestoreOffline.log.rdd.json new file mode 100644 index 0000000..1082b52 --- /dev/null +++ b/DELME/aaa/70-backup-RestoreOffline.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:21:41+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/70-backup-RestoreOffline.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "70-backup-RestoreOffline", + "result": "FAIL" +} diff --git a/DELME/aaa/70-backup-RestoreOnline.log.rdd.json b/DELME/aaa/70-backup-RestoreOnline.log.rdd.json new file mode 100644 index 0000000..a8a8ddc --- /dev/null +++ b/DELME/aaa/70-backup-RestoreOnline.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:01:51+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/70-backup-RestoreOnline.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "70-backup-RestoreOnline", + "result": "FAIL" +} diff --git a/DELME/aaa/80-test-sync-repositories-PromoteContentViews.log.rdd.json b/DELME/aaa/80-test-sync-repositories-PromoteContentViews.log.rdd.json new file mode 100644 index 0000000..b4a8454 --- /dev/null +++ b/DELME/aaa/80-test-sync-repositories-PromoteContentViews.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:39:04+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/80-test-sync-repositories-PromoteContentViews.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "80-test-sync-repositories-PromoteContentViews", + "result": "FAIL" +} diff --git a/DELME/aaa/80-test-sync-repositories-PublishContentViews.log.rdd.json b/DELME/aaa/80-test-sync-repositories-PublishContentViews.log.rdd.json new file mode 100644 index 0000000..b48b96e --- /dev/null +++ b/DELME/aaa/80-test-sync-repositories-PublishContentViews.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:38:04+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/80-test-sync-repositories-PublishContentViews.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "80-test-sync-repositories-PublishContentViews", + "result": "FAIL" +} diff --git a/DELME/aaa/80-test-sync-repositories-SyncRepositories.log.rdd.json b/DELME/aaa/80-test-sync-repositories-SyncRepositories.log.rdd.json new file mode 100644 index 0000000..3a5352b --- /dev/null +++ b/DELME/aaa/80-test-sync-repositories-SyncRepositories.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:34:16+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/80-test-sync-repositories-SyncRepositories.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "80-test-sync-repositories-SyncRepositories", + "result": "FAIL" +} diff --git a/DELME/aaa/80-test-sync-repositories.log.rdd.json b/DELME/aaa/80-test-sync-repositories.log.rdd.json new file mode 100644 index 0000000..4cebbf9 --- /dev/null +++ b/DELME/aaa/80-test-sync-repositories.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:32:55+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/80-test-sync-repositories.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "80-test-sync-repositories", + "result": "FAIL" +} diff --git a/DELME/aaa/81-test-sync-iso-PromoteContentViews.log.rdd.json b/DELME/aaa/81-test-sync-iso-PromoteContentViews.log.rdd.json new file mode 100644 index 0000000..7670a14 --- /dev/null +++ b/DELME/aaa/81-test-sync-iso-PromoteContentViews.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:44:15+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/81-test-sync-iso-PromoteContentViews.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "81-test-sync-iso-PromoteContentViews", + "result": "FAIL" +} diff --git a/DELME/aaa/81-test-sync-iso-PublishContentViews.log.rdd.json b/DELME/aaa/81-test-sync-iso-PublishContentViews.log.rdd.json new file mode 100644 index 0000000..aec476e --- /dev/null +++ b/DELME/aaa/81-test-sync-iso-PublishContentViews.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:43:15+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/81-test-sync-iso-PublishContentViews.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "81-test-sync-iso-PublishContentViews", + "result": "FAIL" +} diff --git a/DELME/aaa/81-test-sync-iso-SyncRepositories.log.rdd.json b/DELME/aaa/81-test-sync-iso-SyncRepositories.log.rdd.json new file mode 100644 index 0000000..19515ad --- /dev/null +++ b/DELME/aaa/81-test-sync-iso-SyncRepositories.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:41:25+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/81-test-sync-iso-SyncRepositories.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "81-test-sync-iso-SyncRepositories", + "result": "FAIL" +} diff --git a/DELME/aaa/81-test-sync-iso.log.rdd.json b/DELME/aaa/81-test-sync-iso.log.rdd.json new file mode 100644 index 0000000..054a4a7 --- /dev/null +++ b/DELME/aaa/81-test-sync-iso.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:40:27+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/81-test-sync-iso.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "81-test-sync-iso", + "result": "FAIL" +} diff --git a/DELME/aaa/82-test-sync-docker-PromoteContentViews.log.rdd.json b/DELME/aaa/82-test-sync-docker-PromoteContentViews.log.rdd.json new file mode 100644 index 0000000..3173610 --- /dev/null +++ b/DELME/aaa/82-test-sync-docker-PromoteContentViews.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:58:52+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/82-test-sync-docker-PromoteContentViews.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "82-test-sync-docker-PromoteContentViews", + "result": "FAIL" +} diff --git a/DELME/aaa/82-test-sync-docker-PublishContentViews.log.rdd.json b/DELME/aaa/82-test-sync-docker-PublishContentViews.log.rdd.json new file mode 100644 index 0000000..af24b8e --- /dev/null +++ b/DELME/aaa/82-test-sync-docker-PublishContentViews.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:57:50+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/82-test-sync-docker-PublishContentViews.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "82-test-sync-docker-PublishContentViews", + "result": "FAIL" +} diff --git a/DELME/aaa/82-test-sync-docker-SyncRepositories.log.rdd.json b/DELME/aaa/82-test-sync-docker-SyncRepositories.log.rdd.json new file mode 100644 index 0000000..7172473 --- /dev/null +++ b/DELME/aaa/82-test-sync-docker-SyncRepositories.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:46:36+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/82-test-sync-docker-SyncRepositories.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "82-test-sync-docker-SyncRepositories", + "result": "FAIL" +} diff --git a/DELME/aaa/82-test-sync-docker.log.rdd.json b/DELME/aaa/82-test-sync-docker.log.rdd.json new file mode 100644 index 0000000..5024211 --- /dev/null +++ b/DELME/aaa/82-test-sync-docker.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T22:45:38+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/82-test-sync-docker.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "82-test-sync-docker", + "result": "FAIL" +} diff --git a/DELME/aaa/99-remove-hosts-if-any.log.rdd.json b/DELME/aaa/99-remove-hosts-if-any.log.rdd.json new file mode 100644 index 0000000..e46be9a --- /dev/null +++ b/DELME/aaa/99-remove-hosts-if-any.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T23:00:16+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/99-remove-hosts-if-any.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "99-remove-hosts-if-any", + "result": "FAIL" +} diff --git a/DELME/aaa/capsules-specific.log.rdd.json b/DELME/aaa/capsules-specific.log.rdd.json new file mode 100644 index 0000000..2dbd9ad --- /dev/null +++ b/DELME/aaa/capsules-specific.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "stream", + "release": "stream", + "date": "2024-06-09T07:18:41+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/capsules-specific.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "capsules-specific", + "result": "FAIL" +} diff --git a/DELME/aaa/satellite-specific-SatelliteInstallerScenarioSatellite.log.rdd.json b/DELME/aaa/satellite-specific-SatelliteInstallerScenarioSatellite.log.rdd.json new file mode 100644 index 0000000..e6aa76b --- /dev/null +++ b/DELME/aaa/satellite-specific-SatelliteInstallerScenarioSatellite.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "stream", + "release": "stream", + "date": "2024-06-09T07:11:35+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/satellite-specific-SatelliteInstallerScenarioSatellite.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "satellite-specific-SatelliteInstallerScenarioSatellite", + "result": "FAIL" +} diff --git a/DELME/aaa/sosreporter-gatherer.log.rdd.json b/DELME/aaa/sosreporter-gatherer.log.rdd.json new file mode 100644 index 0000000..f13f319 --- /dev/null +++ b/DELME/aaa/sosreporter-gatherer.log.rdd.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.16.0-0.5.stream.el9sat.noarch", + "release": "stream", + "date": "2024-06-09T23:42:37+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerfStreamEL9/run-2024-06-09T06:51:17+00:00/sosreporter-gatherer.log", + "result_id": "run-2024-06-09T06:51:17+00:00", + "test": "sosreporter-gatherer", + "result": "FAIL" +} diff --git a/DELME/aaa2.json b/DELME/aaa2.json new file mode 100644 index 0000000..9c5532f --- /dev/null +++ b/DELME/aaa2.json @@ -0,0 +1,11 @@ +{ + "group": "Core Platforms", + "product": "Red Hat Satellite", + "version": "satellite-6.13.7-1.el8sat.noarch", + "release": "6.13", + "date": "2024-06-11T03:00:50+00:00", + "link": "https://workdir-exporter-jenkins-csb-perf.apps.ocp-c1.prod.psi.redhat.com/workspace/ContPerf613EL8/run-2024-06-10T16:46:28+00:00/55-rex-date-5880-duration.log", + "result_id": "run-2024-06-10T16:46:28+00:00", + "test": "55-rex-date-5880-duration", + "result": "FAIL" + } diff --git a/DELME/bbb.py b/DELME/bbb.py new file mode 100644 index 0000000..edaac15 --- /dev/null +++ b/DELME/bbb.py @@ -0,0 +1,7 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import opl.generators.inventory_ingress +import opl.generators.qpc_tarball + + diff --git a/DELME/ccc.py b/DELME/ccc.py new file mode 100644 index 0000000..a45a487 --- /dev/null +++ b/DELME/ccc.py @@ -0,0 +1,63 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +launches_to_check = [ + { + "name": "InsightsCompliance_runner", + "history": 10, + "owner": "jsemjkal", + }, + { + "name": "InsightsEdge_runner", + "history": 10, + "owner": "rajchauh", + }, + { + "name": "InsightsEngine_runner", + "history": 10, + "owner": "rajchauh", + }, + { + "name": "InsightsFrontEnd_runner", + "history": 300, + "owner": "lrios", + }, + { + "name": "InsightsInsightsCore_runner", + "history": 10, + "owner": "spadakan", + }, + { + "name": "InsightsInventory_runner", + "history": 10, + "owner": "spadakan", + }, + { + "name": "InsightsInventoryHBIPerfTest_runner", + "history": 10, + "owner": "spadakan", + }, + { + "name": "InsightsNotifications_runner", + "history": 10, + "owner": "lrios", + }, + { + "name": "InsightsRBAC_runner", + "history": 10, + "owner": "rajchauh", + }, + { + "name": "InsightsTally_runner", + "history": 10, + "owner": "cmusali", + }, + { + "name": "InsightsYuptoo_runner", + "history": 10, + "owner": "shubansa", + }, + ] +import yaml +with open("/tmp/ccc.yaml", "w") as fp: + yaml.dump(launches_to_check, fp) diff --git a/DELME/cluster_read_rhosak-cluster.yaml b/DELME/cluster_read_rhosak-cluster.yaml new file mode 100644 index 0000000..1667b62 --- /dev/null +++ b/DELME/cluster_read_rhosak-cluster.yaml @@ -0,0 +1,44 @@ +{% set namespace=MY_ENV_NAMESPACE %} + +- name: measurements.openshift-monitoring.sum-container_memory_working_set_bytes + monitoring_query: sum(container_memory_working_set_bytes{pod=~'kafka-instance-kafka-[0-9]+',namespace='{{ namespace }}',container=''}) + monitoring_step: 15 + +- name: measurements.openshift-monitoring.sum-pod-container_cpu_usage-sum + monitoring_query: sum(pod:container_cpu_usage:sum{pod=~'kafka-instance-kafka-[0-9]+',namespace='{{ namespace }}'}) + monitoring_step: 15 + +- name: measurements.openshift-monitoring.sum-irate-container_network_receive_bytes_total + monitoring_query: sum(irate(container_network_receive_bytes_total{pod=~'kafka-instance-kafka-[0-9]+', namespace='{{ namespace }}'}[5m])) + monitoring_step: 15 + +- name: measurements.openshift-monitoring.sum-irate-container_network_transmit_bytes_total + monitoring_query: sum(irate(container_network_transmit_bytes_total{pod=~'kafka-instance-kafka-[0-9]+', namespace='{{ namespace }}'}[5m])) + monitoring_step: 15 + +- name: measurements.openshift-monitoring.sum-pod-container_fs_usage_bytes-sum + monitoring_query: sum(pod:container_fs_usage_bytes:sum{pod=~'kafka-instance-kafka-[0-9]+',namespace='{{ namespace }}'}) + monitoring_step: 15 + +- name: measurements.openshift-monitoring.sum-kube_pod_container_status_restarts_total + monitoring_query: sum(kube_pod_container_status_restarts_total{pod=~'kafka-instance-kafka-[0-9]+',namespace='{{ namespace }}'}) + monitoring_step: 15 + +###- name: parameters.cluster.pods.upload-service.count +### command: oc -n qa get pods -l app=upload-service -o name | wc -l +###- name: parameters.cluster.pods.insights-puptoo.count +### command: oc -n qa get pods -l app=insights-puptoo -o name | wc -l +###- name: parameters.cluster.pods.insights-storage-broker.count +### command: oc -n qa get pods -l app=insights-storage-broker -o name | wc -l +### +#### TODO: We should query deployment config here I think +###- name: parameters.cluster.pods.vulnerability-engine-listener.resources +### command: oc -n qa get pods -l deploymentconfig=vulnerability-engine-listener -o json | python3 -c "import sys, json; print(json.dumps(json.load(sys.stdin)['items'][0]['spec']['containers'][0]['resources']))" +### output: json +### +###- name: measurements.insights-inventory-mq-service.cpu +### monitoring_query: sum(pod_name:container_cpu_usage:sum{pod_name=~'insights-inventory-mq-service-.*',namespace='qa'}) +### monitoring_step: 60 +### +###- name: measurements.satellite.load +### grafana_target: $Cloud.$Node.load.load.shortterm diff --git a/DELME/cluster_read_rhosak-kafka.yaml b/DELME/cluster_read_rhosak-kafka.yaml new file mode 100644 index 0000000..92044a5 --- /dev/null +++ b/DELME/cluster_read_rhosak-kafka.yaml @@ -0,0 +1,57 @@ +{% set namespace=MY_ENV_NAMESPACE %} + +- name: measurements.managed-application-services-observability.sum-haproxy_server_bytes_in_total + monitoring_query: sum(haproxy_server_bytes_in_total{exported_pod=~"kafka-instance-kafka-[0-9]+",exported_namespace="{{ namespace }}"}) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-haproxy_server_bytes_out_total + monitoring_query: sum(haproxy_server_bytes_out_total{exported_pod=~"kafka-instance-kafka-[0-9]+",exported_namespace="{{ namespace }}"}) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-kafka_broker_quota_totalstorageusedbytes + monitoring_query: sum(kafka_broker_quota_totalstorageusedbytes{namespace!=""}) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-rate-kafka_topic_partition_current_offset + monitoring_query: sum(rate(kafka_topic_partition_current_offset[5m])) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-rate-kubelet_volume_stats_available_bytes + monitoring_query: sum(rate(kubelet_volume_stats_available_bytes{persistentvolumeclaim=~"data-([0-9]+)?-(.+)-kafka-[0-9]+"}[5m])) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-kafka_server_replicamanager_under_replicated_partitions + monitoring_query: sum(kafka_server_replicamanager_under_replicated_partitions) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-kafka_controller_kafkacontroller_offline_partitions_count + monitoring_query: sum(kafka_controller_kafkacontroller_offline_partitions_count) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-kafka_cluster_partition_under_min_isr + monitoring_query: sum(kafka_cluster_partition_under_min_isr) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-rate-kube_pod_container_status_restarts_total + monitoring_query: sum(rate(kube_pod_container_status_restarts_total{container="kafka"}[5m])) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-rate-ALERTS + monitoring_query: sum(rate(ALERTS{alertstate="firing"}[5m])) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-zookeeper_avg_request_latency + monitoring_query: sum(zookeeper_avg_request_latency) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-zookeeper_outstanding_requests + monitoring_query: sum(zookeeper_outstanding_requests) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-rate-kube_pod_container_status_restarts_total + monitoring_query: sum(rate(kube_pod_container_status_restarts_total{container="zookeeper"}[5m])) + monitoring_step: 15 + +- name: measurements.managed-application-services-observability.sum-rate-kafka_log_log_size + monitoring_query: sum(rate(kafka_log_log_size{namespace=~"kafka-.*",strimzi_io_kind=~"Kafka"}[5m])) + monitoring_step: 15 diff --git a/DELME/data.txt b/DELME/data.txt new file mode 100644 index 0000000..01f02e3 --- /dev/null +++ b/DELME/data.txt @@ -0,0 +1 @@ +bbb \ No newline at end of file diff --git a/DELME/ddd.py b/DELME/ddd.py new file mode 100644 index 0000000..c7bad5a --- /dev/null +++ b/DELME/ddd.py @@ -0,0 +1,162 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import argparse +import sys +import os +import logging +from locust import HttpUser +from locust import constant +from locust import task +import opl.args +import opl.gen +import opl.locust +import opl.skelet +import base64 +import json +import size_kb + + +class TheNotifications(HttpUser): + + wait_time = constant( + 0 + ) # IF performing latency test, then change to 1, but not necessary here + + def getting_headers(self): + """ + This header was created to avoid issues with WARNING when sending emails + """ + data = { + "identity": { + "associate": { + "Role": ["org_admin"], + "email": "tester@example.com", + "givenName": "tester", + "rhatUUID": "01234567-89ab-cdef-0123-456789abcdef", + "surname": "tester", + }, + "auth_type": "saml-auth", + "type": "Associate", + } + } + + return base64.b64encode(json.dumps(data).encode("UTF-8")) + + def _post_availability(self, endpoint, size_payload): + """Just a helper for a given endpoint with given limit set""" + + url = f"{self.host_base}/{endpoint}" + + headers = { + "Content-Type": "application/json", + "x-rh-identity": self.getting_headers(), + } + + payload = json.dumps( + { + "version": "2.0.0", + "bundle": "rhel", + "application": "policies", + "event_type": "policy-triggered", + "timestamp": "2024-05-29T09:08:31.911475014", + "account_id": "12345", + "org_id": "12345", + "context": { + "inventory_id": "93f5896e-91dd-4b9d-a9c4-21ff618ee991", + "system_check_in": "2024-05-29T09:08:31.860645", + "display_name": "gduval-rhel91", + "tags": [ + { + "value": "93f5896e-91dd-4b9d-a9c4-21ff618ee991", + "key": "inventory_id", + }, + {"value": "gduval-rhel91", "key": "display_name"}, + ], + }, + "events": [ + { + "metadata": {}, + "payload": size_kb.size_of_dict(size=size_payload), + } + ], + "recipients": [], + } + ) + + response = self.client.post( + url=url, headers=headers, data=payload, verify=False + ) + return response + + @task(1) + def check_availability(self): + """ + first getting sources id and supplying with check_availability + """ + + return self._post_availability("/notifications", self.size_payload) + + +def doit(args, status_data): + + logging.info(f"Running with test data total counts: {status_data}") + # Extra args + test_set = TheNotifications + + test_set.host_base = f"{args.gw_host}" + args.host = args.gw_host + + test_set.size_payload = int(args.size_payload) + + # Add parameters to status data file. + status_data.set("name", "Insights NOTIFICATIONS API perf test") + status_data.set("parameters.locust.hatch_rate", args.hatch_rate) + status_data.set("parameters.locust.host", args.host) + status_data.set("parameters.locust.num_clients", args.num_clients) + status_data.set("parameters.locust.stop_timeout", args.stop_timeout) + status_data.set("parameters.test.duration", args.test_duration) + status_data.set("parameters.locust.test-requests", args.test_requests) + print( + f"Running with host = {args.gw_host}, num_clients = {args.num_clients}, hatch_rate = {args.hatch_rate} and duration = {args.test_duration} seconds and payload_size(kb) {args.size_payload} and num_requests = {args.test_requests}" + ) + + return opl.locust.run_locust( + args, status_data, test_set, new_stats=True + ) # TODO look into tweeking this + + +def main(): + + print("***** Executing Perf testing ******") + parser = argparse.ArgumentParser( + description="Measure NOTIFICATIONS API endpoints speed", + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + ) + + parser.add_argument( + "--gw_host", + dest="gw_host", + default=os.getenv( + "notifications_gw_host", + "http://notifications-gw-service.notifications-perf.svc.cluster.local:8000", + ), # This is Golang + help="GW host, use env variable GW_HOST)", + ) + + parser.add_argument( + "--size_payload", + dest="size_payload", + default="40", + help="Payload size in kb", + ) + + opl.args.add_locust_opts(parser) + with opl.skelet.test_setup(parser) as (args, status_data): + logging.info(f"The status data file is {args.status_data_file}") + + return doit(args, status_data) + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/DELME/edge-test-data.json b/DELME/edge-test-data.json new file mode 100644 index 0000000..030417d --- /dev/null +++ b/DELME/edge-test-data.json @@ -0,0 +1 @@ +[{"account": "3019212", "image_set_id": [11860], "repo_ids": [11849], "commit_ids": [11846], "installer_ids": [11845], "image_ids": [11841], "os_tree_commits": ["evb68xc6d2b2ns7j6lloueg66dbff4mpnsmc1z83hmvnu1jbx8fppkdm2i2vbqfc"]}] diff --git a/DELME/investigator-conf.yaml b/DELME/investigator-conf.yaml new file mode 100644 index 0000000..03ec491 --- /dev/null +++ b/DELME/investigator-conf.yaml @@ -0,0 +1,107 @@ +# Get previous test results from here +history: + # type: csv + # file: /tmp/data.csv + type: sd_dir + dir: testing_sd_dir/ + matchers: | + name: "{{ current.get('name') }}" + +# Get results of test run to be compared to historical results +current: + type: status_data + file: /tmp/status-data.json + +methods: + - check_by_stdev_1 + - check_by_stdev_2 + - check_by_stdev_3 + - check_by_trim_stdev_1 + - check_by_trim_stdev_2 + - check_by_error_1 + - check_by_error_2 + - check_by_error_3 + - check_by_error_4 + - check_by_error_5 + - check_by_perc_20 + - check_by_perc_40 + - check_by_perc_60 + - check_by_perc_80 + - check_by_perc_100 + - check_by_min_max_0_1 + - check_by_min_max_7_1 + - check_by_min_max_7_2 + - check_by_min_max_7_3 + +# columns in case of CSV input +# JSON paths in case of status_data input +sets: | + {% if current.get('parameters.cli').startswith('experiment/reg-average.py ') %} + - results.items.avg_duration + - results.items.passed + - results.items.report_rc + {% else %} + - results.duration + {% endif %} + + {% macro metrics(name) -%} + {% if current.get(name + '.samples') > 0 -%} + - {{ name }}.mean + {%- endif %} + {%- endmacro %} + + # System wide metrics + {{ metrics('measurements.satellite.disk_octets.read') }} + {{ metrics('measurements.satellite.disk_octets.write') }} + {{ metrics('measurements.satellite.eth1.if_octets.rx') }} + {{ metrics('measurements.satellite.eth1.if_octets.tx') }} + {{ metrics('measurements.satellite.load.load.shortterm') }} + {{ metrics('measurements.satellite.memory.memory-used') }} + {{ metrics('measurements.satellite.swap.swap-used') }} + + # Satellite services + {{ metrics('measurements.satellite.processes-httpd.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-httpd.ps_rss') }} + {{ metrics('measurements.satellite.processes-ruby.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-ruby.ps_rss') }} + {{ metrics('measurements.satellite.processes-dynflow.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-dynflow.ps_rss') }} + {{ metrics('measurements.satellite.processes-pulp.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-pulp.ps_rss') }} + {{ metrics('measurements.satellite.processes-qpidd.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-qpidd.ps_rss') }} + {{ metrics('measurements.satellite.processes-qdrouterd.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-qdrouterd.ps_rss') }} + + # Satellite application server services + {{ metrics('measurements.satellite.processes-puma.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-puma.ps_rss') }} + {{ metrics('measurements.satellite.processes-Puma-Worker.ps_count.processes') }} + {{ metrics('measurements.satellite.processes-Puma-Worker.ps_count.threads') }} + {{ metrics('measurements.satellite.processes-Tomcat.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-Tomcat.ps_rss') }} + + # Satellite data store services + {{ metrics('measurements.satellite.processes-postgres.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-postgres.ps_rss') }} + {{ metrics('measurements.satellite.processes-redis.ps_cputime.user') }} + {{ metrics('measurements.satellite.processes-redis.ps_rss') }} + + # PostgreSQL activity metrics + {{ metrics('measurements.satellite.postgresql-candlepin.pg_n_tup_c-del') }} + {{ metrics('measurements.satellite.postgresql-candlepin.pg_n_tup_c-ins') }} + {{ metrics('measurements.satellite.postgresql-candlepin.pg_n_tup_c-upd') }} + {{ metrics('measurements.satellite.postgresql-foreman.pg_n_tup_c-del') }} + {{ metrics('measurements.satellite.postgresql-foreman.pg_n_tup_c-ins') }} + {{ metrics('measurements.satellite.postgresql-foreman.pg_n_tup_c-upd') }} + {{ metrics('measurements.satellite.postgresql-pulpcore.pg_n_tup_c-del') }} + {{ metrics('measurements.satellite.postgresql-pulpcore.pg_n_tup_c-ins') }} + {{ metrics('measurements.satellite.postgresql-pulpcore.pg_n_tup_c-upd') }} + +# Shuld we log our decisions somewhere? +decisions: + ###type: elasticsearch + ###es_server: http://elasticsearch.intlab.perf-infra.lab.eng.rdu2.redhat.com + ###es_index: satellite_perf_aa_decisions + type: csv + filename: /tmp/decisions.csv diff --git a/DELME/load-test.json b/DELME/load-test.json new file mode 100644 index 0000000..42c167d --- /dev/null +++ b/DELME/load-test.json @@ -0,0 +1,2498 @@ +{ + "ended": "2025-02-27T07:30:24,094835348+00:00", + "measurements": { + "cluster_cpu_usage_seconds_total_rate": { + "iqr": 18.526048059296357, + "max": 39.323793386428946, + "mean": 29.966002813247133, + "median": 30.155535900314398, + "min": 20.229146065930788, + "non_zero_mean": 29.966002813247133, + "non_zero_median": 30.155535900314398, + "percentile25": 20.79774532713259, + "percentile75": 39.323793386428946, + "percentile90": 39.323793386428946, + "percentile99": 39.323793386428946, + "percentile999": 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b/DELME/measurements_tekton_tekton_pipelines_controller_running_taskruns_throttled_by_node_count.csv new file mode 100644 index 0000000..ad21084 --- /dev/null +++ b/DELME/measurements_tekton_tekton_pipelines_controller_running_taskruns_throttled_by_node_count.csv @@ -0,0 +1,62 @@ +timestamp,measurements.tekton_tekton_pipelines_controller_running_taskruns_throttled_by_node_count +1698562800,0.0 +1698562815,0.0 +1698562830,0.0 +1698562845,0.0 +1698562860,0.0 +1698562875,0.0 +1698562890,0.0 +1698562905,0.0 +1698562920,0.0 +1698562935,0.0 +1698562950,0.0 +1698562965,0.0 +1698562980,0.0 +1698562995,0.0 +1698563010,0.0 +1698563025,0.0 +1698563040,0.0 +1698563055,0.0 +1698563070,0.0 +1698563085,0.0 +1698563100,0.0 +1698563115,0.0 +1698563130,0.0 +1698563145,0.0 +1698563160,0.0 +1698563175,0.0 +1698563190,0.0 +1698563205,0.0 +1698563220,0.0 +1698563235,0.0 +1698563250,0.0 +1698563265,0.0 +1698563280,0.0 +1698563295,0.0 +1698563310,0.0 +1698563325,0.0 +1698563340,0.0 +1698563355,0.0 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b/DELME/measurements_tekton_tekton_pipelines_controller_workqueue_depth.csv new file mode 100644 index 0000000..8a75e64 --- /dev/null +++ b/DELME/measurements_tekton_tekton_pipelines_controller_workqueue_depth.csv @@ -0,0 +1,62 @@ +timestamp,measurements.tekton_tekton_pipelines_controller_workqueue_depth +1698562800,0.0 +1698562815,0.0 +1698562830,0.0 +1698562845,0.0 +1698562860,0.0 +1698562875,0.0 +1698562890,0.0 +1698562905,0.0 +1698562920,0.0 +1698562935,0.0 +1698562950,0.0 +1698562965,0.0 +1698562980,0.0 +1698562995,0.0 +1698563010,0.0 +1698563025,0.0 +1698563040,0.0 +1698563055,0.0 +1698563070,0.0 +1698563085,0.0 +1698563100,0.0 +1698563115,0.0 +1698563130,0.0 +1698563145,0.0 +1698563160,0.0 +1698563175,0.0 +1698563190,0.0 +1698563205,0.0 +1698563220,0.0 +1698563235,0.0 +1698563250,0.0 +1698563265,0.0 +1698563280,0.0 +1698563295,0.0 +1698563310,0.0 +1698563325,0.0 +1698563340,0.0 +1698563355,0.0 +1698563370,0.0 +1698563385,0.0 +1698563400,0.0 +1698563415,0.0 +1698563430,0.0 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+1698563190,0.0 +1698563205,0.0 +1698563220,0.0 +1698563235,0.0 +1698563250,0.0 +1698563265,0.0 +1698563280,0.0 +1698563295,0.0 +1698563310,0.0 +1698563325,0.0 +1698563340,0.0 +1698563355,0.0 +1698563370,0.0 +1698563385,0.0 +1698563400,0.0 +1698563415,0.0 +1698563430,0.0 +1698563445,0.0 +1698563460,0.0 +1698563475,0.0 +1698563490,0.0 +1698563505,0.0 +1698563520,0.0 +1698563535,0.0 +1698563550,0.0 +1698563565,0.0 +1698563580,0.0 +1698563595,0.0 +1698563610,0.0 +1698563625,0.0 +1698563640,0.0 +1698563655,0.0 +1698563670,0.0 +1698563685,0.0 +1698563700,0.0 diff --git a/DELME/measurements_token_pool_rate_secondary.csv b/DELME/measurements_token_pool_rate_secondary.csv new file mode 100644 index 0000000..803c23d --- /dev/null +++ b/DELME/measurements_token_pool_rate_secondary.csv @@ -0,0 +1,62 @@ +timestamp,measurements.token_pool_rate_secondary +1698562800,0.0 +1698562815,0.0 +1698562830,0.0 +1698562845,0.0 +1698562860,0.0 +1698562875,0.0 +1698562890,0.0 +1698562905,0.0 +1698562920,0.0 +1698562935,0.0 +1698562950,0.0 +1698562965,0.0 +1698562980,0.0 +1698562995,0.0 +1698563010,0.0 +1698563025,0.0 +1698563040,0.0 +1698563055,0.0 +1698563070,0.0 +1698563085,0.0 +1698563100,0.0 +1698563115,0.0 +1698563130,0.0 +1698563145,0.0 +1698563160,0.0 +1698563175,0.0 +1698563190,0.0 +1698563205,0.0 +1698563220,0.0 +1698563235,0.0 +1698563250,0.0 +1698563265,0.0 +1698563280,0.0 +1698563295,0.0 +1698563310,0.0 +1698563325,0.0 +1698563340,0.0 +1698563355,0.0 +1698563370,0.0 +1698563385,0.0 +1698563400,0.0 +1698563415,0.0 +1698563430,0.0 +1698563445,0.0 +1698563460,0.0 +1698563475,0.0 +1698563490,0.0 +1698563505,0.0 +1698563520,0.0 +1698563535,0.0 +1698563550,0.0 +1698563565,0.0 +1698563580,0.0 +1698563595,0.0 +1698563610,0.0 +1698563625,0.0 +1698563640,0.0 +1698563655,0.0 +1698563670,0.0 +1698563685,0.0 +1698563700,0.0 diff --git a/DELME/my-tekton-perfscale-experiment-investigator_config.yaml b/DELME/my-tekton-perfscale-experiment-investigator_config.yaml new file mode 100644 index 0000000..4f774c9 --- /dev/null +++ b/DELME/my-tekton-perfscale-experiment-investigator_config.yaml @@ -0,0 +1,37 @@ +# Get historical test results from here +history: + type: sd_dir + dir: ../my-tekton-perfscale-experiment-results/ + matchers: | + name: "{{ current.get('name') }}" + result: PASS + parameters.locust.host: "{{ current.get('parameters.locust.host') }}" + #parameters.locust.num_clients: {{ current.get('parameters.locust.num_clients') }} + #parameters.locust.hatch_rate: {{ current.get('parameters.locust.hatch_rate') }} + #parameters.test.duration: {{ current.get('parameters.test.duration') }} + +# From here get current result that is supposed to be compared to historical results +current: + type: status_data + file: status-data.json + +# JSON paths we want to investigate +sets: + ###- measurements.rbac_all.cpu.mean + ###- measurements.rbac_all.memory.mean + ###- measurements.rbac-service.cpu.mean + ###- measurements.rbac-service.memory.mean + ###- measurements.rbac-scheduler-service.cpu.mean + ###- measurements.rbac-scheduler-service.memory.mean + ###- measurements.rbac-worker-service.cpu.mean + ###- measurements.rbac-worker-service.memory.mean + - results.requests.SUMMARY.total_rps + - results.requests.SUMMARY.median_response_time + - results.requests.SUMMARY.fail_ratio + - results.requests.SUMMARY.num_failures + - results.requests.SUMMARY.num_requests + +# Shuld we log our decisions somewhere? +decisions: + type: csv + filename: ../my-tekton-perfscale-experiment-results/decisions.csv diff --git a/DELME/opl/cluster_read_caps.yaml b/DELME/opl/cluster_read_caps.yaml new file mode 100644 index 0000000..e438c77 --- /dev/null +++ b/DELME/opl/cluster_read_caps.yaml @@ -0,0 +1,7 @@ +- name: measurements.capsules_data.load.load.shortterm[] + grafana_target: $Cloud.$Node.load.load.shortterm + grafana_enritchment: + capsule: "{{CAPSULE}}" +- name: measurements.capsules_data.memory.memory-used[] + grafana_target: $Cloud.$Node.memory.memory-used + grafana_include_vars: true diff --git a/DELME/opl/generators/inventory_egress_template.json.j2-3 b/DELME/opl/generators/inventory_egress_template.json.j2-3 new file mode 100644 index 0000000..ba29f52 --- /dev/null +++ b/DELME/opl/generators/inventory_egress_template.json.j2-3 @@ -0,0 +1,620 @@ +{ + "host": { + "account": "{{ account }}", + "ansible_host": null, + "bios_uuid": "{{ bios_uuid }}", + "created": "{{ nowz }}", + "culled_timestamp": "{{ tommorowz }}", + "display_name": "{{ fqdn }}", + "external_id": null, + "fqdn": "{{ fqdn }}", + "id": "{{ inventory_id }}", + "insights_id": "{{ insights_id }}", + "ip_addresses": [ + "{{ ipv4_addr }}", + "{{ ipv6_addr }}" + ], + "mac_addresses": [ + "{{ mac_addr }}", + "00:00:00:00:00:00" + ], + "per_reporter_staleness": { + "puptoo": { + "check_in_succeeded": true, + "last_check_in": "{{ nowz }}", + "stale_timestamp": "{{ tommorowz }}" + } + }, + "reporter": "puptoo", + "rhel_machine_id": null, + "satellite_id": null, + "stale_timestamp": "{{ tommorowz }}", + "stale_warning_timestamp": "{{ tommorowz }}", + "subscription_manager_id": "{{ subscription_manager_id }}", + "system_profile": { + "arch": "x86_64", + "bios_release_date": "04/01/2014", + "bios_vendor": "SeaBIOS", + "bios_version": "1.11.0-2.el7", + "captured_date": "2019-11-19T22:13:22+00:00", + "cores_per_socket": 1, + "cpu_flags": [ + "fpu", + "vme", + "de", + "pse", + "tsc", + "msr", + "pae", + "mce", + "cx8", + "apic", + "sep", + "mtrr", + "pge", + "mca", + "cmov", + "pat", + "pse36", + "clflush", + "mmx", + "fxsr", + "sse", + "sse2", + "ss", + "syscall", + "nx", + "pdpe1gb", + "rdtscp", + "lm", + "constant_tsc", + "rep_good", + "nopl", + "xtopology", + "eagerfpu", + "pni", + "pclmulqdq", + "vmx", + "ssse3", + "fma", + "cx16", + "pcid", + "sse4_1", + "sse4_2", + "x2apic", + "movbe", + "popcnt", + "tsc_deadline_timer", + "aes", + "xsave", + "avx", + "f16c", + "rdrand", + "hypervisor", + "lahf_lm", + "abm", + "3dnowprefetch", + "invpcid_single", + "ssbd", + "ibrs", + "ibpb", + "stibp", + "tpr_shadow", + "vnmi", + "flexpriority", + "ept", + "vpid", + "fsgsbase", + "tsc_adjust", + "bmi1", + "hle", + "avx2", + "smep", + "bmi2", + "erms", + "invpcid", + "rtm", + "mpx", + "avx512f", + "avx512dq", + "rdseed", + "adx", + "smap", + "clflushopt", + "clwb", + "avx512cd", + "avx512bw", + "avx512vl", + "xsaveopt", + "xsavec", + "xgetbv1", + "arat", + "pku", + "ospke", + "md_clear", + "spec_ctrl", + "intel_stibp" + ], + "enabled_services": [ + "auditd", + "auth-rpcgss-module", + "autovt@", + "brandbot", + "chrony-dnssrv@", + "chronyd", + "cloud-config", + "cloud-final", + "cloud-init-local", + "cloud-init", + "container-getty@", + "crond", + "dbus-org.freedesktop.hostname1", + "dbus-org.freedesktop.import1", + "dbus-org.freedesktop.locale1", + "dbus-org.freedesktop.login1", + "dbus-org.freedesktop.machine1", + "dbus-org.freedesktop.nm-dispatcher", + "dbus-org.freedesktop.timedate1", + "dbus", + "dracut-cmdline", + "dracut-initqueue", + "dracut-mount", + "dracut-pre-mount", + "dracut-pre-pivot", + "dracut-pre-trigger", + "dracut-pre-udev", + "dracut-shutdown", + "emergency", + "fstrim", + "getty@", + "halt-local", + "initrd-cleanup", + "initrd-parse-etc", + "initrd-switch-root", + "initrd-udevadm-cleanup-db", + "insights-client", + "irqbalance", + "kdump", + "kmod-static-nodes", + "messagebus", + "microcode", + "NetworkManager-dispatcher", + "NetworkManager-wait-online", + "NetworkManager", + "nfs-config", + "nfs-idmap", + "nfs-idmapd", + "nfs-lock", + "nfs-mountd", + "nfs-secure", + "nfs-utils", + "nfslock", + "ovirt-guest-agent", + "polkit", + "postfix", + "qemu-guest-agent", + "quotaon", + "rc-local", + "rescue", + "rhel-autorelabel-mark", + "rhel-autorelabel", + "rhel-configure", + "rhel-dmesg", + "rhel-domainname", + "rhel-import-state", + "rhel-loadmodules", + "rhel-readonly", + "rpc-gssd", + "rpc-statd-notify", + "rpc-statd", + "rpcbind", + "rpcgssd", + "rpcidmapd", + "rsyncd@", + "rsyslog", + "selinux-policy-migrate-local-changes@", + "sshd-keygen", + "sshd", + "sshd@", + "systemd-ask-password********", + "systemd-backlight@", + "systemd-binfmt", + "systemd-firstboot", + "systemd-fsck-root", + "systemd-fsck@", + "systemd-halt", + "systemd-hibernate-resume@", + "systemd-hibernate", + "systemd-hostnamed", + "systemd-hwdb-update", + "systemd-hybrid-sleep", + "systemd-importd", + "systemd-initctl", + "systemd-journal-catalog-update", + "systemd-journal-flush", + "systemd-journald", + "systemd-kexec", + "systemd-localed", + "systemd-logind", + "systemd-machine-id-commit", + "systemd-machined", + "systemd-modules-load", + "systemd-poweroff", + "systemd-quotacheck", + "systemd-random-seed", + "systemd-readahead-collect", + "systemd-readahead-done", + "systemd-readahead-drop", + "systemd-readahead-replay", + "systemd-reboot", + "systemd-remount-fs", + "systemd-rfkill@", + "systemd-shutdownd", + "systemd-suspend", + "systemd-sysctl", + "systemd-timedated", + "systemd-tmpfiles-clean", + "systemd-tmpfiles-setup-dev", + "systemd-tmpfiles-setup", + "systemd-udev-settle", + "systemd-udev-trigger", + "systemd-udevd", + "systemd-update-done", + "systemd-update-utmp-runlevel", + "systemd-update-utmp", + "systemd-user-sessions", + "systemd-vconsole-setup", + "teamd@", + "tuned" + ], + "infrastructure_type": "virtual", + "infrastructure_vendor": "kvm", + "insights_client_version": "3.0.9-1.el7", + "insights_egg_version": "3.0.133-1", + "installed_packages": "{{ installed_packages|tojson }}", + "installed_products": [ + { + "id": "230" + } + ], + "installed_services": [ + "arp-ethers", + "auditd", + "auth-rpcgss-module", + "autovt@", + "blk-availability", + "brandbot", + "chrony-dnssrv@", + "chrony-wait", + "chronyd", + "cloud-config", + "cloud-final", + "cloud-init-local", + "cloud-init", + "console-getty", + "console-shell", + "container-getty@", + "cpupower", + "crond", + "dbus-org.freedesktop.hostname1", + "dbus-org.freedesktop.import1", + "dbus-org.freedesktop.locale1", + "dbus-org.freedesktop.login1", + "dbus-org.freedesktop.machine1", + "dbus-org.freedesktop.nm-dispatcher", + "dbus-org.freedesktop.timedate1", + "dbus", + "debug-shell", + "dracut-cmdline", + "dracut-initqueue", + "dracut-mount", + "dracut-pre-mount", + "dracut-pre-pivot", + "dracut-pre-trigger", + "dracut-pre-udev", + "dracut-shutdown", + "emergency", + "fstrim", + "getty@", + "gssproxy", + "halt-local", + "initrd-cleanup", + "initrd-parse-etc", + "initrd-switch-root", + "initrd-udevadm-cleanup-db", + "insights-client", + "irqbalance", + "kdump", + "kmod-static-nodes", + "messagebus", + "microcode", + "NetworkManager-dispatcher", + "NetworkManager-wait-online", + "NetworkManager", + "nfs-blkmap", + "nfs-config", + "nfs-idmap", + "nfs-idmapd", + "nfs-lock", + "nfs-mountd", + "nfs-rquotad", + "nfs-secure", + "nfs-server", + "nfs-utils", + "nfs", + "nfslock", + "ovirt-guest-agent", + "polkit", + "postfix", + "qemu-guest-agent", + "quotaon", + "rc-local", + "rdisc", + "rescue", + "rhel-autorelabel-mark", + "rhel-autorelabel", + "rhel-configure", + "rhel-dmesg", + "rhel-domainname", + "rhel-import-state", + "rhel-loadmodules", + "rhel-readonly", + "rhsm-facts", + "rhsm", + "rhsmcertd", + "rpc-gssd", + "rpc-rquotad", + "rpc-statd-notify", + "rpc-statd", + "rpcbind", + "rpcgssd", + "rpcidmapd", + "rsyncd", + "rsyncd@", + "rsyslog", + "selinux-policy-migrate-local-changes@", + "serial-gettystemd-journal-catalog-update", + "systemd-journal-flush", + "systemd-journald", + "systemd-kexec", + "systemd-localed", + "systemd-logind", + "systemd-machine-id-commit", + "systemd-machined", + "systemd-modules-load", + "systemd-nspawn@", + "systemd-poweroff", + "systemd-quotacheck", + "systemd-random-seed", + "systemd-readahead-collect", + "systemd-readahead-done", + "systemd-readahead-drop", + "systemd-readahead-replay", + "systemd-reboot", + "systemd-remount-fs", + "systemd-rfkill@", + "systemd-shutdownd", + "systemd-suspend", + "systemd-sysctl", + "systemd-timedated", + "systemd-tmpfiles-clean", + "systemd-tmpfiles-setup-dev", + "systemd-tmpfiles-setup", + "systemd-udev-settle", + "systemd-udev-trigger", + "systemd-udevd", + "systemd-update-done", + "systemd-update-utmp-runlevel", + "systemd-update-utmp", + "systemd-user-sessions", + "systemd-vconsole-setup", + "teamd@", + "tuned", + "wpa_supplicant" + ], + "kernel_modules": [ + "dm_mod", + "binfmt_misc", + "virtio_console", + "nfit", + "libnvdimm", + "iosf_mbi", + "kvm_intel", + "kvm", + "irqbypass", + "crc32_pclmul", + "ghash_clmulni_intel", + "cirrus", + "ttm", + "drm_kms_helper", + "syscopyarea", + "sysfillrect", + "sysimgblt", + "fb_sys_fops", + "drm", + "aesni_intel", + "ppdev", + "lrw", + "gf128mul", + "glue_helper", + "ablk_helper", + "cryptd", + "parport_pc", + "pcspkr", + "drm_panel_orientation_quirks", + "joydev", + "virtio_balloon", + "i2c_piix4", + "parport", + "ip_tables", + "xfs", + "libcrc32c", + "ata_generic", + "pata_acpi", + "virtio_net", + "virtio_blk", + "net_failover", + "failover", + "ata_piix", + "libata", + "floppy", + "crct10dif_pclmul", + "crct10dif_common", + "crc32c_intel", + "serio_raw", + "virtio_pci", + "virtio_ring", + "virtio", + "sunrpc" + ], + "last_boot_time": "2019-11-19T21:47:22", + "network_interfaces": [ + { + "ipv4_addresses": [ + "127.0.0.1" + ], + "ipv6_addresses": [ + "::1" + ], + "mac_address": "00:00:00:00:00:00", + "mtu": 65536, + "name": "lo", + "state": "UNKNOWN", + "type": "loopback" + }, + { + "ipv4_addresses": [ + "{{ ipv4_addr }}" + ], + "ipv6_addresses": [ + "{{ ipv6_addr }}" + ], + "mac_address": "{{ mac_addr }}", + "mtu": 1500, + "name": "eth0", + "state": "UP", + "type": "ether" + } + ], + "number_of_cpus": 1, + "number_of_sockets": 1, + "os_kernel_version": "3.10.0", + "os_release": "7.5", + "running_processes": [ + "master", + "migration/0", + "scsi_tmf_0", + "su", + "anacron", + "insights-client", + "deferwq", + "sudo", + "bioset", + "kintegrityd", + "xfs-reclaim/vda", + "scsi_tmf_1", + "nfit", + "ata_sff", + "kworker/0:0H", + "systemd", + "xfsaild/vda1", + "scsi_eh_1", + "xfs-data/vda1", + "netns", + "scsi_eh_0", + "xfs-cil/vda1", + "rcu_sched", + "crypto", + "xfsalloc", + "systemd-logind", + "kblockd", + "tuned", + "qmgr", + "edac-poller", + "rhnsd", + "kaluad", + "xfs-log/vda1", + "kdevtmpfs", + "rsyslogd", + "ps", + "ttm_swap", + "kmpath_rdacd", + "lru-add-drain", + "xfs_mru_cache", + "kworker/u2:0", + "systemd-journal", + "kpsmoused", + "dbus-daemon", + "polkitd", + "chronyd", + "kauditd", + "pickup", + "ksmd", + "gssproxy", + "dhclient", + "bash", + "watchdog/0", + "sshd", + "kworker/0:0", + "kworker/0:2", + "khungtaskd", + "kthrotld", + "kworker/u2:1", + "rpcbind", + "xfs-buf/vda1", + "systemd-udevd", + "md", + "xprtiod", + "kthreadd", + "NetworkManager", + "ipv6_addrconf", + "khugepaged", + "writeback", + "crond", + "rpciod", + "kworker/0:1H", + "auditd", + "ksoftirqd/0", + "kworker/0:1", + "rcu_bh", + "kswapd0", + "xfs-eofblocks/v", + "timeout", + "watchdogd", + "agetty", + "xfs-conv/vda1", + "kvm-irqfd-clean" + ], + "satellite_managed": false, + "system_memory_bytes": 1927180288, + "yum_repos": "{{ yum_repos|tojson }}" + }, + "tags": [], + "updated": "{{ nowz }}" + }, + "platform_metadata": { + "account": "{{ account }}", + "b64_identity": "{{ b64_identity }}", + "category": "something", + "elapsed_time": 1586859092.4174569, + "extras": {}, + "host": {}, + "id": null, + "metadata": { + "reporter": "", + "stale_timestamp": "0001-01-01T00:00:00Z" + }, + "payload_id": null, + "principal": "5894300", + "request_id": "{{ request_id }}", + "satellite_managed": null, + "service": "advisor", + "size": 195324, + "test": null, + "timestamp": "{{ nowz }}", + "url": "https://XXXXXXXXXXXXX.s3.amazonaws.com/018c78be10954bf689974590c19da741?X", + "validation": null + }, + "timestamp": "{{ nowz }}", + "type": "{{ msg_type }}" +} diff --git a/DELME/opl/generators/testit.py b/DELME/opl/generators/testit.py new file mode 100644 index 0000000..fcdfc53 --- /dev/null +++ b/DELME/opl/generators/testit.py @@ -0,0 +1,14 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import opl.generators.playbook_dispatcher + +generator = opl.generators.playbook_dispatcher.RunnerUpdatesGenerator( + count=3, + template='playbook-dispatcher-runner-updates.json.j2', + correlation_id="123", + run_id="456", +) + +for msg_id, msg_struct in generator: + print(f"Message {msg_id}: {str(msg_struct)[:100]}") diff --git a/DELME/opl_dep_test b/DELME/opl_dep_test new file mode 160000 index 0000000..9a218c0 --- /dev/null +++ b/DELME/opl_dep_test @@ -0,0 +1 @@ +Subproject commit 9a218c0442f6f91bca41227954258584c3ee0b66 diff --git a/DELME/size_kb.py b/DELME/size_kb.py new file mode 100644 index 0000000..34bf738 --- /dev/null +++ b/DELME/size_kb.py @@ -0,0 +1,37 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import sys +import random +import string + +""" +Kafka allows only up to 1mb size per topic, so we are transforming script to kb + +Script to generate random python dict of size 100kb, 300kb, 500kb +""" + + +# Function to generate random string +def generate_random_string(size): + return "".join(random.choices(string.ascii_letters + string.digits, k=size)) + + +# Function to generate a random dictionary of a given size (in bytes) +def generate_random_dict(size_bytes): + size_bytes -= sys.getsizeof(dict()) # Account for dictionary overhead + size_bytes -= sys.getsizeof("") * 2 # Account for two empty strings + d = {} + while sys.getsizeof(d) < size_bytes: + key = generate_random_string(random.randint(5, 20)) + value = generate_random_string(random.randint(10, 50)) + d[key] = value + return d + + +# Generate a random dictionary approximately 5kb in size +def size_of_dict(size=100): + size_5kb = size * 1000 # 5MB in bytes + random_dict = generate_random_dict(size_5kb) + # Print the size of the generated dictionary in bytes + return random_dict diff --git a/DELME/tables.yaml b/DELME/tables.yaml new file mode 100644 index 0000000..8ce8c12 --- /dev/null +++ b/DELME/tables.yaml @@ -0,0 +1,14 @@ +tables: + items: + - CREATE TABLE IF NOT EXISTS items ( + subscription_manager_id VARCHAR PRIMARY KEY, + qpc_at TIMESTAMP WITH TIME ZONE NULL, + created_at TIMESTAMP WITH TIME ZONE NULL) + - CREATE INDEX IF NOT EXISTS items_subscription_manager_id_idx + ON items (subscription_manager_id) +queries: + query_store_info_produced: INSERT INTO items(subscription_manager_id, qpc_at) VALUES %s + query_storage_update_created_at: UPDATE items SET created_at = data.created_at FROM (VALUES %s) AS data(subscription_manager_id, created_at) WHERE items.subscription_manager_id = data.subscription_manager_id + query_storage_count_applicable_hosts: SELECT COUNT(*) FROM items WHERE qpc_at IS NOT NULL AND created_at IS NULL + query_storage_get_applicable_hosts: SELECT subscription_manager_id FROM items WHERE qpc_at IS NOT NULL AND created_at IS NULL OFFSET %s LIMIT %s + query_edge_get_created_at: SELECT uuid, created_at FROM devices WHERE uuid=ANY(%s) diff --git a/DELME/test.py b/DELME/test.py new file mode 100644 index 0000000..7ad108e --- /dev/null +++ b/DELME/test.py @@ -0,0 +1,17 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import pprint + +import opl.generators.inventory_egress +import opl.generators.inventory_ingress +import opl.generators.generic + +generator = opl.generators.inventory_egress.EgressHostsGenerator(count=1,n_packages=10,) +#generator = opl.generators.generic.GenericGenerator(count=1, template='inventory_egress_template.json.j2') +#generator = opl.generators.generic.GenericGenerator(count=1, template='inventory_ingress_RHSM_template.json.j2') +#generator = opl.generators.inventory_ingress.InventoryIngressGenerator(count=1, fraction=1, relatives=100, addresses=3, packages=10, template='inventory_ingress_RHSM_template.json.j2') + +for msg_id, msg_struct in generator: + print(msg_id) + pprint.pprint(msg_struct) diff --git a/DELME/test2.py b/DELME/test2.py new file mode 100755 index 0000000..5d12ed4 --- /dev/null +++ b/DELME/test2.py @@ -0,0 +1,70 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import json +import socket + +import opl.generators.inventory_egress +import opl.post_kafka_times + + +def func_add_more_args(parser): + parser.add_argument( + "--count", + default=100, + type=int, + help="How many messages to prepare", + ) + parser.add_argument( + "--n-packages", + default=500, + type=int, + help="How many packages addresses should each host have", + ) + parser.add_argument( + "--msg-type", + default="created", + choices=["created"], + help="Type of the message", + ) + + +def func_return_generator(args): + return opl.generators.inventory_egress.EgressHostsGenerator( + count=args.count, + n_packages=args.n_packages, + msg_type=args.msg_type, + ) + + +def func_return_message_payload(args, message_id, message): + return json.dumps(message) + + +def func_return_message_key(args, message_id, message): + return message_id + + +def func_return_message_headers(args, message_id, message): + _event_type = args.msg_type + _request_id = message["platform_metadata"]["request_id"] + _producer = socket.gethostname() + _insights_id = message["host"]["insights_id"] + return [ + ("event_type", _event_type), + ("request_id", _request_id), + ("producer", _producer), + ("insights_id", _insights_id), + ] + + +if __name__ == "__main__": + config = { + "func_add_more_args": func_add_more_args, + "query_store_info_produced": "query_store_info_produced", + "func_return_generator": func_return_generator, + "func_return_message_payload": func_return_message_payload, + "func_return_message_headers": func_return_message_headers, + "func_return_message_key": func_return_message_key, + } + opl.post_kafka_times.post_kafka_times(config) diff --git a/DELME/test3.py b/DELME/test3.py new file mode 100755 index 0000000..a58b2d2 --- /dev/null +++ b/DELME/test3.py @@ -0,0 +1,31 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- + +import opl.args +import opl.get_db_times + + +def func_add_more_args(parser): + opl.args.add_edge_db_opts(parser) + + +def func_create_app_db_config(args): + return { + 'host': args.edge_db_host, + 'port': args.edge_db_port, + 'database': args.edge_db_name, + 'user': args.edge_db_user, + 'password': args.edge_db_pass, + } + + +if __name__ == "__main__": + config = { + "func_add_more_args": func_add_more_args, + "func_create_app_db_config": func_create_app_db_config, + "query_storage_update_timestamp": "query_storage_update_created_at", # update query to store created_at into items table + "query_storage_count_applicable_hosts": "query_storage_count_applicable_hosts", # query to get count of hosts with missing created_at value + "query_storage_get_applicable_hosts": "query_storage_get_applicable_hosts", # query to get IDs of hosts with missing created_at value + "query_app_get_hosts": "query_edge_get_created_at", # query host ID and created_at from Edge DB for given hosts + } + opl.get_db_times.get_db_times(config) diff --git a/DELME/testing_sd_dir/status-data-run-2021-12-09T20_13_17_629_0000-chatty.json b/DELME/testing_sd_dir/status-data-run-2021-12-09T20_13_17_629_0000-chatty.json new file mode 100644 index 0000000..23bf3f6 --- /dev/null +++ b/DELME/testing_sd_dir/status-data-run-2021-12-09T20_13_17_629_0000-chatty.json @@ -0,0 +1,12 @@ +{ + "ended": null, + "id": "run-2021-12-09T20_13_17_629_0000", + "measurements": {}, + "name": "This is default name", + "owner": "", + "parameters": {}, + "result": null, + "results": {}, + "started": "2021-12-09T20:17:47.576361+00:00", + "version": 1 +} \ No newline at end of file diff --git a/DELME/testing_sd_dir/status-data-run-2021-12-09T20_57_10_214_0000-chatty.json b/DELME/testing_sd_dir/status-data-run-2021-12-09T20_57_10_214_0000-chatty.json new file mode 100644 index 0000000..f5cc23c --- /dev/null +++ b/DELME/testing_sd_dir/status-data-run-2021-12-09T20_57_10_214_0000-chatty.json @@ -0,0 +1,12 @@ +{ + "ended": null, + "id": "run-2021-12-09T20_57_10_214_0000", + "measurements": {}, + "name": "This is default name", + "owner": "", + "parameters": {}, + "result": null, + "results": {}, + "started": "2021-12-09T21:00:47.040691+00:00", + "version": 1 +} \ No newline at end of file diff --git a/DELME/testing_sd_dir/status-data-run-2021-12-09T21_32_44_337_0000-chatty.json b/DELME/testing_sd_dir/status-data-run-2021-12-09T21_32_44_337_0000-chatty.json new file mode 100644 index 0000000..ca54f18 --- /dev/null +++ b/DELME/testing_sd_dir/status-data-run-2021-12-09T21_32_44_337_0000-chatty.json @@ -0,0 +1,12 @@ +{ + "ended": null, + "id": "run-2021-12-09T21_32_44_337_0000", + "measurements": {}, + "name": "This is default name", + "owner": "", + "parameters": {}, + "result": null, + "results": {}, + "started": "2021-12-09T23:24:10.089107+00:00", + "version": 1 +} \ No newline at end of file diff --git a/DELME/testing_sd_dir/status-data-run-2021-12-10T08_38_02_566_0000-api.json b/DELME/testing_sd_dir/status-data-run-2021-12-10T08_38_02_566_0000-api.json new file mode 100644 index 0000000..d897867 --- /dev/null +++ b/DELME/testing_sd_dir/status-data-run-2021-12-10T08_38_02_566_0000-api.json @@ -0,0 +1,1245 @@ +{ + "ended": "2021-12-10T11:39:32.053334+00:00", + "golden": "true", + "id": "run-2021-12-10T08_38_02_566_0000", + "measurements": { + "cluster": { + "context_switches": { + "total": { + "iqr": 2286.0999999999995, + "max": 26934.266666666666, + "mean": 5305.032034466417, + "median": 3254.5333333333333, + "min": 1437.9333333333334, + "non_zero_mean": 5305.032034466417, + "non_zero_median": 3254.5333333333333, + "percentile25": 2779.7, + "percentile75": 5065.799999999999, + "percentile90": 11655.373333333335, + "percentile99": 23349.877333333334, + "percentile999": 26198.430933333493, + "range": 25496.333333333332, + "samples": 263, + "stdev": 4827.688884189489, + "sum": 1395223.4250646662 + } + }, + "cpu": { + "system": { + "iqr": 0.19200000000000156, + 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b/DELME/venv_core/bin/Activate.ps1 @@ -0,0 +1,247 @@ +<# +.Synopsis +Activate a Python virtual environment for the current PowerShell session. + +.Description +Pushes the python executable for a virtual environment to the front of the +$Env:PATH environment variable and sets the prompt to signify that you are +in a Python virtual environment. Makes use of the command line switches as +well as the `pyvenv.cfg` file values present in the virtual environment. + +.Parameter VenvDir +Path to the directory that contains the virtual environment to activate. The +default value for this is the parent of the directory that the Activate.ps1 +script is located within. + +.Parameter Prompt +The prompt prefix to display when this virtual environment is activated. By +default, this prompt is the name of the virtual environment folder (VenvDir) +surrounded by parentheses and followed by a single space (ie. '(.venv) '). + +.Example +Activate.ps1 +Activates the Python virtual environment that contains the Activate.ps1 script. + +.Example +Activate.ps1 -Verbose +Activates the Python virtual environment that contains the Activate.ps1 script, +and shows extra information about the activation as it executes. + +.Example +Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv +Activates the Python virtual environment located in the specified location. + +.Example +Activate.ps1 -Prompt "MyPython" +Activates the Python virtual environment that contains the Activate.ps1 script, +and prefixes the current prompt with the specified string (surrounded in +parentheses) while the virtual environment is active. + +.Notes +On Windows, it may be required to enable this Activate.ps1 script by setting the +execution policy for the user. You can do this by issuing the following PowerShell +command: + +PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser + +For more information on Execution Policies: +https://go.microsoft.com/fwlink/?LinkID=135170 + +#> +Param( + [Parameter(Mandatory = $false)] + [String] + $VenvDir, + [Parameter(Mandatory = $false)] + [String] + $Prompt +) + +<# Function declarations --------------------------------------------------- #> + +<# +.Synopsis +Remove all shell session elements added by the Activate script, including the +addition of the virtual environment's Python executable from the beginning of +the PATH variable. + +.Parameter NonDestructive +If present, do not remove this function from the global namespace for the +session. + +#> +function global:deactivate ([switch]$NonDestructive) { + # Revert to original values + + # The prior prompt: + if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) { + Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt + Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT + } + + # The prior PYTHONHOME: + if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) { + Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME + Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME + } + + # The prior PATH: + if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) { + Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH + Remove-Item -Path Env:_OLD_VIRTUAL_PATH + } + + # Just remove the VIRTUAL_ENV altogether: + if (Test-Path -Path Env:VIRTUAL_ENV) { + Remove-Item -Path env:VIRTUAL_ENV + } + + # Just remove VIRTUAL_ENV_PROMPT altogether. + if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) { + Remove-Item -Path env:VIRTUAL_ENV_PROMPT + } + + # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether: + if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) { + Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force + } + + # Leave deactivate function in the global namespace if requested: + if (-not $NonDestructive) { + Remove-Item -Path function:deactivate + } +} + +<# +.Description +Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the +given folder, and returns them in a map. + +For each line in the pyvenv.cfg file, if that line can be parsed into exactly +two strings separated by `=` (with any amount of whitespace surrounding the =) +then it is considered a `key = value` line. The left hand string is the key, +the right hand is the value. + +If the value starts with a `'` or a `"` then the first and last character is +stripped from the value before being captured. + +.Parameter ConfigDir +Path to the directory that contains the `pyvenv.cfg` file. +#> +function Get-PyVenvConfig( + [String] + $ConfigDir +) { + Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg" + + # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue). + $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue + + # An empty map will be returned if no config file is found. + $pyvenvConfig = @{ } + + if ($pyvenvConfigPath) { + + Write-Verbose "File exists, parse `key = value` lines" + $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath + + $pyvenvConfigContent | ForEach-Object { + $keyval = $PSItem -split "\s*=\s*", 2 + if ($keyval[0] -and $keyval[1]) { + $val = $keyval[1] + + # Remove extraneous quotations around a string value. + if ("'""".Contains($val.Substring(0, 1))) { + $val = $val.Substring(1, $val.Length - 2) + } + + $pyvenvConfig[$keyval[0]] = $val + Write-Verbose "Adding Key: '$($keyval[0])'='$val'" + } + } + } + return $pyvenvConfig +} + + +<# Begin Activate script --------------------------------------------------- #> + +# Determine the containing directory of this script +$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition +$VenvExecDir = Get-Item -Path $VenvExecPath + +Write-Verbose "Activation script is located in path: '$VenvExecPath'" +Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)" +Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)" + +# Set values required in priority: CmdLine, ConfigFile, Default +# First, get the location of the virtual environment, it might not be +# VenvExecDir if specified on the command line. +if ($VenvDir) { + Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values" +} +else { + Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir." + $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/") + Write-Verbose "VenvDir=$VenvDir" +} + +# Next, read the `pyvenv.cfg` file to determine any required value such +# as `prompt`. +$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir + +# Next, set the prompt from the command line, or the config file, or +# just use the name of the virtual environment folder. +if ($Prompt) { + Write-Verbose "Prompt specified as argument, using '$Prompt'" +} +else { + Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value" + if ($pyvenvCfg -and $pyvenvCfg['prompt']) { + Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'" + $Prompt = $pyvenvCfg['prompt']; + } + else { + Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)" + Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'" + $Prompt = Split-Path -Path $venvDir -Leaf + } +} + +Write-Verbose "Prompt = '$Prompt'" +Write-Verbose "VenvDir='$VenvDir'" + +# Deactivate any currently active virtual environment, but leave the +# deactivate function in place. +deactivate -nondestructive + +# Now set the environment variable VIRTUAL_ENV, used by many tools to determine +# that there is an activated venv. +$env:VIRTUAL_ENV = $VenvDir + +if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) { + + Write-Verbose "Setting prompt to '$Prompt'" + + # Set the prompt to include the env name + # Make sure _OLD_VIRTUAL_PROMPT is global + function global:_OLD_VIRTUAL_PROMPT { "" } + Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT + New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt + + function global:prompt { + Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) " + _OLD_VIRTUAL_PROMPT + } + $env:VIRTUAL_ENV_PROMPT = $Prompt +} + +# Clear PYTHONHOME +if (Test-Path -Path Env:PYTHONHOME) { + Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME + Remove-Item -Path Env:PYTHONHOME +} + +# Add the venv to the PATH +Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH +$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH" diff --git a/DELME/venv_core/bin/activate b/DELME/venv_core/bin/activate new file mode 100644 index 0000000..14f6844 --- /dev/null +++ b/DELME/venv_core/bin/activate @@ -0,0 +1,69 @@ +# This file must be used with "source bin/activate" *from bash* +# you cannot run it directly + +deactivate () { + # reset old environment variables + if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then + PATH="${_OLD_VIRTUAL_PATH:-}" + export PATH + unset _OLD_VIRTUAL_PATH + fi + if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then + PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}" + export PYTHONHOME + unset _OLD_VIRTUAL_PYTHONHOME + fi + + # This should detect bash and zsh, which have a hash command that must + # be called to get it to forget past commands. Without forgetting + # past commands the $PATH changes we made may not be respected + if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then + hash -r 2> /dev/null + fi + + if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then + PS1="${_OLD_VIRTUAL_PS1:-}" + export PS1 + unset _OLD_VIRTUAL_PS1 + fi + + unset VIRTUAL_ENV + unset VIRTUAL_ENV_PROMPT + if [ ! "${1:-}" = "nondestructive" ] ; then + # Self destruct! + unset -f deactivate + fi +} + +# unset irrelevant variables +deactivate nondestructive + +VIRTUAL_ENV="/home/jhutar/Checkouts/opl/venv_core" +export VIRTUAL_ENV + +_OLD_VIRTUAL_PATH="$PATH" +PATH="$VIRTUAL_ENV/bin:$PATH" +export PATH + +# unset PYTHONHOME if set +# this will fail if PYTHONHOME is set to the empty string (which is bad anyway) +# could use `if (set -u; : $PYTHONHOME) ;` in bash +if [ -n "${PYTHONHOME:-}" ] ; then + _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}" + unset PYTHONHOME +fi + +if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then + _OLD_VIRTUAL_PS1="${PS1:-}" + PS1="(venv_core) ${PS1:-}" + export PS1 + VIRTUAL_ENV_PROMPT="(venv_core) " + export VIRTUAL_ENV_PROMPT +fi + +# This should detect bash and zsh, which have a hash command that must +# be called to get it to forget past commands. Without forgetting +# past commands the $PATH changes we made may not be respected +if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then + hash -r 2> /dev/null +fi diff --git a/DELME/venv_core/bin/activate.csh b/DELME/venv_core/bin/activate.csh new file mode 100644 index 0000000..c66b7c0 --- /dev/null +++ b/DELME/venv_core/bin/activate.csh @@ -0,0 +1,26 @@ +# This file must be used with "source bin/activate.csh" *from csh*. +# You cannot run it directly. +# Created by Davide Di Blasi . +# Ported to Python 3.3 venv by Andrew Svetlov + +alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate' + +# Unset irrelevant variables. +deactivate nondestructive + +setenv VIRTUAL_ENV "/home/jhutar/Checkouts/opl/venv_core" + +set _OLD_VIRTUAL_PATH="$PATH" +setenv PATH "$VIRTUAL_ENV/bin:$PATH" + + +set _OLD_VIRTUAL_PROMPT="$prompt" + +if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then + set prompt = "(venv_core) $prompt" + setenv VIRTUAL_ENV_PROMPT "(venv_core) " +endif + +alias pydoc python -m pydoc + +rehash diff --git a/DELME/venv_core/bin/activate.fish b/DELME/venv_core/bin/activate.fish new file mode 100644 index 0000000..7184586 --- /dev/null +++ b/DELME/venv_core/bin/activate.fish @@ -0,0 +1,69 @@ +# This file must be used with "source /bin/activate.fish" *from fish* +# (https://fishshell.com/); you cannot run it directly. + +function deactivate -d "Exit virtual environment and return to normal shell environment" + # reset old environment variables + if test -n "$_OLD_VIRTUAL_PATH" + set -gx PATH $_OLD_VIRTUAL_PATH + set -e _OLD_VIRTUAL_PATH + end + if test -n "$_OLD_VIRTUAL_PYTHONHOME" + set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME + set -e _OLD_VIRTUAL_PYTHONHOME + end + + if test -n "$_OLD_FISH_PROMPT_OVERRIDE" + set -e _OLD_FISH_PROMPT_OVERRIDE + # prevents error when using nested fish instances (Issue #93858) + if functions -q _old_fish_prompt + functions -e fish_prompt + functions -c _old_fish_prompt fish_prompt + functions -e _old_fish_prompt + end + end + + set -e VIRTUAL_ENV + set -e VIRTUAL_ENV_PROMPT + if test "$argv[1]" != "nondestructive" + # Self-destruct! + functions -e deactivate + end +end + +# Unset irrelevant variables. +deactivate nondestructive + +set -gx VIRTUAL_ENV "/home/jhutar/Checkouts/opl/venv_core" + +set -gx _OLD_VIRTUAL_PATH $PATH +set -gx PATH "$VIRTUAL_ENV/bin" $PATH + +# Unset PYTHONHOME if set. +if set -q PYTHONHOME + set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME + set -e PYTHONHOME +end + +if test -z "$VIRTUAL_ENV_DISABLE_PROMPT" + # fish uses a function instead of an env var to generate the prompt. + + # Save the current fish_prompt function as the function _old_fish_prompt. + functions -c fish_prompt _old_fish_prompt + + # With the original prompt function renamed, we can override with our own. + function fish_prompt + # Save the return status of the last command. + set -l old_status $status + + # Output the venv prompt; color taken from the blue of the Python logo. + printf "%s%s%s" (set_color 4B8BBE) "(venv_core) " (set_color normal) + + # Restore the return status of the previous command. + echo "exit $old_status" | . + # Output the original/"old" prompt. + _old_fish_prompt + end + + set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV" + set -gx VIRTUAL_ENV_PROMPT "(venv_core) " +end diff --git a/DELME/venv_core/bin/cluster_read.py b/DELME/venv_core/bin/cluster_read.py new file mode 100755 index 0000000..89bebf3 --- /dev/null +++ b/DELME/venv_core/bin/cluster_read.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','cluster_read.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'cluster_read.py')()) diff --git a/DELME/venv_core/bin/deep b/DELME/venv_core/bin/deep new file mode 100755 index 0000000..9769116 --- /dev/null +++ b/DELME/venv_core/bin/deep @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from deepdiff.commands import cli +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(cli()) diff --git a/DELME/venv_core/bin/f2py b/DELME/venv_core/bin/f2py new file mode 100755 index 0000000..e3cf1f6 --- /dev/null +++ b/DELME/venv_core/bin/f2py @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from numpy.f2py.f2py2e import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/f2py3 b/DELME/venv_core/bin/f2py3 new file mode 100755 index 0000000..e3cf1f6 --- /dev/null +++ b/DELME/venv_core/bin/f2py3 @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from numpy.f2py.f2py2e import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/f2py3.11 b/DELME/venv_core/bin/f2py3.11 new file mode 100755 index 0000000..e3cf1f6 --- /dev/null +++ b/DELME/venv_core/bin/f2py3.11 @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from numpy.f2py.f2py2e import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/futurize b/DELME/venv_core/bin/futurize new file mode 100755 index 0000000..0667240 --- /dev/null +++ b/DELME/venv_core/bin/futurize @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from libfuturize.main import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/jp.py b/DELME/venv_core/bin/jp.py new file mode 100755 index 0000000..be5446c --- /dev/null +++ b/DELME/venv_core/bin/jp.py @@ -0,0 +1,54 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python + +import sys +import json +import argparse +from pprint import pformat + +import jmespath +from jmespath import exceptions + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('expression') + parser.add_argument('-f', '--filename', + help=('The filename containing the input data. ' + 'If a filename is not given then data is ' + 'read from stdin.')) + parser.add_argument('--ast', action='store_true', + help=('Pretty print the AST, do not search the data.')) + args = parser.parse_args() + expression = args.expression + if args.ast: + # Only print the AST + expression = jmespath.compile(args.expression) + sys.stdout.write(pformat(expression.parsed)) + sys.stdout.write('\n') + return 0 + if args.filename: + with open(args.filename, 'r') as f: + data = json.load(f) + else: + data = sys.stdin.read() + data = json.loads(data) + try: + sys.stdout.write(json.dumps( + jmespath.search(expression, data), indent=4, ensure_ascii=False)) + sys.stdout.write('\n') + except exceptions.ArityError as e: + sys.stderr.write("invalid-arity: %s\n" % e) + return 1 + except exceptions.JMESPathTypeError as e: + sys.stderr.write("invalid-type: %s\n" % e) + return 1 + except exceptions.UnknownFunctionError as e: + sys.stderr.write("unknown-function: %s\n" % e) + return 1 + except exceptions.ParseError as e: + sys.stderr.write("syntax-error: %s\n" % e) + return 1 + + +if __name__ == '__main__': + sys.exit(main()) diff --git a/DELME/venv_core/bin/junit_cli.py b/DELME/venv_core/bin/junit_cli.py new file mode 100755 index 0000000..b7b2075 --- /dev/null +++ b/DELME/venv_core/bin/junit_cli.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','junit_cli.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'junit_cli.py')()) diff --git a/DELME/venv_core/bin/junitparser b/DELME/venv_core/bin/junitparser new file mode 100755 index 0000000..3a3af56 --- /dev/null +++ b/DELME/venv_core/bin/junitparser @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from junitparser.cli import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/normalizer b/DELME/venv_core/bin/normalizer new file mode 100755 index 0000000..c383d61 --- /dev/null +++ b/DELME/venv_core/bin/normalizer @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from charset_normalizer.cli.normalizer import cli_detect +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(cli_detect()) diff --git a/DELME/venv_core/bin/pass_or_fail.py b/DELME/venv_core/bin/pass_or_fail.py new file mode 100755 index 0000000..a3e1082 --- /dev/null +++ b/DELME/venv_core/bin/pass_or_fail.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','pass_or_fail.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'pass_or_fail.py')()) diff --git a/DELME/venv_core/bin/pasteurize b/DELME/venv_core/bin/pasteurize new file mode 100755 index 0000000..95cd3ee --- /dev/null +++ b/DELME/venv_core/bin/pasteurize @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from libpasteurize.main import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/pip b/DELME/venv_core/bin/pip new file mode 100755 index 0000000..36a9456 --- /dev/null +++ b/DELME/venv_core/bin/pip @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from pip._internal.cli.main import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/pip3 b/DELME/venv_core/bin/pip3 new file mode 100755 index 0000000..36a9456 --- /dev/null +++ b/DELME/venv_core/bin/pip3 @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from pip._internal.cli.main import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/pip3.11 b/DELME/venv_core/bin/pip3.11 new file mode 100755 index 0000000..36a9456 --- /dev/null +++ b/DELME/venv_core/bin/pip3.11 @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from pip._internal.cli.main import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/DELME/venv_core/bin/python b/DELME/venv_core/bin/python new file mode 120000 index 0000000..acd4152 --- /dev/null +++ b/DELME/venv_core/bin/python @@ -0,0 +1 @@ +/usr/bin/python \ No newline at end of file diff --git a/DELME/venv_core/bin/python3 b/DELME/venv_core/bin/python3 new file mode 120000 index 0000000..d8654aa --- /dev/null +++ b/DELME/venv_core/bin/python3 @@ -0,0 +1 @@ +python \ No newline at end of file diff --git a/DELME/venv_core/bin/python3.11 b/DELME/venv_core/bin/python3.11 new file mode 120000 index 0000000..d8654aa --- /dev/null +++ b/DELME/venv_core/bin/python3.11 @@ -0,0 +1 @@ +python \ No newline at end of file diff --git a/DELME/venv_core/bin/rp_updater.py b/DELME/venv_core/bin/rp_updater.py new file mode 100755 index 0000000..f35c072 --- /dev/null +++ b/DELME/venv_core/bin/rp_updater.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','rp_updater.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'rp_updater.py')()) diff --git a/DELME/venv_core/bin/status_data.py b/DELME/venv_core/bin/status_data.py new file mode 100755 index 0000000..a08bf66 --- /dev/null +++ b/DELME/venv_core/bin/status_data.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','status_data.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'status_data.py')()) diff --git a/DELME/venv_core/bin/status_data_diff.py b/DELME/venv_core/bin/status_data_diff.py new file mode 100755 index 0000000..0f8a498 --- /dev/null +++ b/DELME/venv_core/bin/status_data_diff.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','status_data_diff.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'status_data_diff.py')()) diff --git a/DELME/venv_core/bin/status_data_report.py b/DELME/venv_core/bin/status_data_report.py new file mode 100755 index 0000000..e57c1db --- /dev/null +++ b/DELME/venv_core/bin/status_data_report.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','status_data_report.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'status_data_report.py')()) diff --git a/DELME/venv_core/bin/status_data_updater.py b/DELME/venv_core/bin/status_data_updater.py new file mode 100755 index 0000000..4d7918f --- /dev/null +++ b/DELME/venv_core/bin/status_data_updater.py @@ -0,0 +1,33 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# EASY-INSTALL-ENTRY-SCRIPT: 'opl-rhcloud-perf-team-core','console_scripts','status_data_updater.py' +import re +import sys + +# for compatibility with easy_install; see #2198 +__requires__ = 'opl-rhcloud-perf-team-core' + +try: + from importlib.metadata import distribution +except ImportError: + try: + from importlib_metadata import distribution + except ImportError: + from pkg_resources import load_entry_point + + +def importlib_load_entry_point(spec, group, name): + dist_name, _, _ = spec.partition('==') + matches = ( + entry_point + for entry_point in distribution(dist_name).entry_points + if entry_point.group == group and entry_point.name == name + ) + return next(matches).load() + + +globals().setdefault('load_entry_point', importlib_load_entry_point) + + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(load_entry_point('opl-rhcloud-perf-team-core', 'console_scripts', 'status_data_updater.py')()) diff --git a/DELME/venv_core/bin/tabulate b/DELME/venv_core/bin/tabulate new file mode 100755 index 0000000..acd384a --- /dev/null +++ b/DELME/venv_core/bin/tabulate @@ -0,0 +1,8 @@ +#!/home/jhutar/Checkouts/opl/venv_core/bin/python +# -*- coding: utf-8 -*- +import re +import sys +from tabulate import _main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(_main()) diff --git a/DELME/venv_core/lib64 b/DELME/venv_core/lib64 new file mode 120000 index 0000000..7951405 --- /dev/null +++ b/DELME/venv_core/lib64 @@ -0,0 +1 @@ +lib \ No newline at end of file diff --git a/DELME/venv_core/pyvenv.cfg b/DELME/venv_core/pyvenv.cfg new file mode 100644 index 0000000..993bb6b --- /dev/null +++ b/DELME/venv_core/pyvenv.cfg @@ -0,0 +1,5 @@ +home = /usr/bin +include-system-site-packages = false +version = 3.11.3 +executable = /usr/bin/python3.11 +command = /usr/bin/python -m venv /home/jhutar/Checkouts/opl/venv_core diff --git a/DELME/venv_core/src/opl-rhcloud-perf-team-core b/DELME/venv_core/src/opl-rhcloud-perf-team-core new file mode 160000 index 0000000..5fbb2fc --- /dev/null +++ b/DELME/venv_core/src/opl-rhcloud-perf-team-core @@ -0,0 +1 @@ +Subproject commit 5fbb2fc064403b027cdf3979398b3cd801872f55 diff --git a/core/opl/junit_cli.py b/core/opl/junit_cli.py index 570555d..5d6ed83 100755 --- a/core/opl/junit_cli.py +++ b/core/opl/junit_cli.py @@ -10,7 +10,7 @@ import requests -from . import date +from opl import date def now(): diff --git a/core/opl/shovel.py b/core/opl/shovel.py index 04ae7f2..28675b1 100755 --- a/core/opl/shovel.py +++ b/core/opl/shovel.py @@ -90,7 +90,7 @@ class pluginBase: def __init__(self): self.logger = logging.getLogger(str(self.__class__)) - def set_args(parser, subparsers): + def set_args(self, parser, subparsers): pass diff --git a/core/opl/skelet.py b/core/opl/skelet.py index ebb77ca..85a66e9 100644 --- a/core/opl/skelet.py +++ b/core/opl/skelet.py @@ -4,7 +4,7 @@ import time from contextlib import contextmanager -from . import status_data +from opl import status_data def setup_logger(app_name, stderr_log_lvl): diff --git a/core/opl/status_data.py b/core/opl/status_data.py index 73b9153..b17fb1e 100755 --- a/core/opl/status_data.py +++ b/core/opl/status_data.py @@ -18,9 +18,9 @@ import yaml -from . import cluster_read -from . import date -from . import skelet +from opl import cluster_read +from opl import date +from opl import skelet class StatusData: diff --git a/extras/opl/generators/qpc_tarball.py b/extras/opl/generators/qpc_tarball.py index 2f9f91f..395dca9 100644 --- a/extras/opl/generators/qpc_tarball.py +++ b/extras/opl/generators/qpc_tarball.py @@ -20,7 +20,9 @@ def get_tarball_message(account, remotename, size, download_url): "service": "qpc", "size": size, "url": download_url, - "b64_identity": opl.gen.get_auth_header(account, account).decode("UTF-8"), + "b64_identity": opl.gen.get_auth_header(account, account, account).decode( + "UTF-8" + ), "timestamp": opl.gen.gen_datetime().replace("+00:00", "Z"), } return json.dumps(data) diff --git a/extras/opl/horreum_api.py b/extras/opl/horreum_api.py index b45f4c7..f8b4841 100755 --- a/extras/opl/horreum_api.py +++ b/extras/opl/horreum_api.py @@ -1561,7 +1561,9 @@ def main(): logger.info(f"Created {i + 1}/{len(label_defs)}: {label_name}") except Exception as e: failed_labels.append((label_name, str(e))) - logger.error(f"Failed {i + 1}/{len(label_defs)}: {label_name} - {e}") + logger.error( + f"Failed {i + 1}/{len(label_defs)}: {label_name} - {e}" + ) else: if not skip_labels: logger.warning("Skipping label creation - no valid schema ID") diff --git a/extras/opl/locust.py b/extras/opl/locust.py index a9998a8..edc8e88 100644 --- a/extras/opl/locust.py +++ b/extras/opl/locust.py @@ -5,9 +5,9 @@ import gevent -import locust.env -import locust.log -import locust.stats +from locust import env as l_env # pylint: disable=no-name-in-module +from locust import log as l_log # pylint: disable=no-name-in-module +from locust import stats as l_stats # pylint: disable=no-name-in-module import tabulate @@ -42,7 +42,7 @@ def run_locust(args, status_data, test_set, new_stats=False, summary_only=False) f"Running with host = {args.host}, num_clients = {args.num_clients}, hatch_rate = {args.hatch_rate}, duration = {args.test_duration} / requests = {args.test_requests}" ) - env = locust.env.Environment() + env = l_env.Environment() env.user_classes = [test_set] env.stop_timeout = args.stop_timeout env.host = args.host diff --git a/extras/opl/manage_db.py b/extras/opl/manage_db.py index 86e7333..8d3c685 100755 --- a/extras/opl/manage_db.py +++ b/extras/opl/manage_db.py @@ -5,12 +5,13 @@ import time import psycopg2 +from psycopg2.errors import UndefinedTable # pylint: disable=no-name-in-module import yaml -from . import args -from . import db -from . import skelet +from opl import args +from opl import db +from opl import skelet def execute_query(connection, query): @@ -81,7 +82,7 @@ def recreate_table(connection, table, table_sql): logging.debug(f"Dropping table {table}") try: cursor.execute(f"DROP TABLE {table}") - except (psycopg2.InternalError, psycopg2.errors.UndefinedTable) as e: + except (psycopg2.InternalError, UndefinedTable) as e: logging.error(f"Failed to drop {table}: {e}") cursor = connection.cursor() connection.commit() diff --git a/extras/opl/rbac_utils.py b/extras/opl/rbac_utils.py index b44cb95..13632d5 100644 --- a/extras/opl/rbac_utils.py +++ b/extras/opl/rbac_utils.py @@ -78,14 +78,14 @@ class TestRequestedInfo(unittest.TestCase): def test_empty(self): data = RbacTestData() - self.assertEquals(data.get_accounts(), []) + self.assertEqual(data.get_accounts(), []) def test_add_get(self): data = RbacTestData() data.add_account("10001", ["aaa", "bbb"], ["xxx", "yyy", "zzz"]) - self.assertEquals(set(data.get_accounts()), set(["10001"])) - self.assertEquals(set(data.get_users_for_account("10001")), set(["aaa", "bbb"])) - self.assertEquals( + self.assertEqual(set(data.get_accounts()), set(["10001"])) + self.assertEqual(set(data.get_users_for_account("10001")), set(["aaa", "bbb"])) + self.assertEqual( set(data.get_applications_for_account("10001")), set(["xxx", "yyy", "zzz"]) ) @@ -93,19 +93,19 @@ def test_add_more(self): data = RbacTestData() data.add_account("10001", ["aaa", "bbb"], ["xxx"]) data.add_account("10002", ["ccc", "ddd"], ["yyy"]) - self.assertEquals(set(data.get_accounts()), set(["10001", "10002"])) - self.assertEquals(set(data.get_users_for_account("10001")), set(["aaa", "bbb"])) - self.assertEquals(set(data.get_users_for_account("10002")), set(["ccc", "ddd"])) + self.assertEqual(set(data.get_accounts()), set(["10001", "10002"])) + self.assertEqual(set(data.get_users_for_account("10001")), set(["aaa", "bbb"])) + self.assertEqual(set(data.get_users_for_account("10002")), set(["ccc", "ddd"])) def test_add_merge(self): data = RbacTestData() data.add_account("10001", ["aaa", "bbb"], ["xxx"]) data.add_account("10001", ["bbb", "ccc"], ["xxx", "yyy", "zzz"]) - self.assertEquals(set(data.get_accounts()), set(["10001"])) - self.assertEquals( + self.assertEqual(set(data.get_accounts()), set(["10001"])) + self.assertEqual( set(data.get_users_for_account("10001")), set(["aaa", "bbb", "ccc"]) ) - self.assertEquals( + self.assertEqual( set(data.get_applications_for_account("10001")), set(["xxx", "yyy", "zzz"]) ) @@ -115,6 +115,6 @@ def test_info(self): data.add_account("10002", ["ccc", "ddd"], ["yyy", "zzz"]) data.add_account("10003", ["eee"], ["zzz"]) info = data.info() - self.assertEquals(info["accounts_count"], 3) - self.assertEquals(info["users_count"], 5) - self.assertEquals(info["applications_count"], 4) + self.assertEqual(info["accounts_count"], 3) + self.assertEqual(info["users_count"], 5) + self.assertEqual(info["applications_count"], 4) diff --git a/extras/opl/skip_to_end.py b/extras/opl/skip_to_end.py index cedde49..51801f0 100755 --- a/extras/opl/skip_to_end.py +++ b/extras/opl/skip_to_end.py @@ -5,9 +5,9 @@ import os import time -from .kafka_init import kafka_init -from . import args -from . import skelet +from opl.kafka_init import kafka_init +from opl import args +from opl import skelet def doit_seek_to_end(args):