The KubeStellar Console includes an AI Capability Maturity Model (ACMM) dashboard for measuring AI-assisted development maturity.
We scanned kubernetes-sigs/kubebuilder and found 16 criteria detected, including:
β
Full prerequisite suite, AGENTS.md, custom skills, CI matrix, test coverage metrics, CI/CD maturity, and production feedback signals
π View your full ACMM score β
Three additions that would close L2 Instructed gaps:
CLAUDE.md β project instructions for Claude Code and other agents
.github/copilot-instructions.md β Copilot workspace instructions
.editorconfig β cross-editor consistency (ACMM L2 signal)
CLAUDE.md in particular lets agent contributors (Claude Code, Copilot, Codex) read your conventions automatically β especially valuable for a scaffolding project where generated code patterns matter.
Add the badge to README.md:
[](https://console.kubestellar.io/acmm?repo=kubernetes-sigs/kubebuilder)
Paper: https://arxiv.org/abs/2604.09388
The KubeStellar Console includes an AI Capability Maturity Model (ACMM) dashboard for measuring AI-assisted development maturity.
We scanned kubernetes-sigs/kubebuilder and found 16 criteria detected, including:
β Full prerequisite suite,
AGENTS.md, custom skills, CI matrix, test coverage metrics, CI/CD maturity, and production feedback signalsπ View your full ACMM score β
Three additions that would close L2 Instructed gaps:
CLAUDE.mdβ project instructions for Claude Code and other agents.github/copilot-instructions.mdβ Copilot workspace instructions.editorconfigβ cross-editor consistency (ACMM L2 signal)CLAUDE.mdin particular lets agent contributors (Claude Code, Copilot, Codex) read your conventions automatically β especially valuable for a scaffolding project where generated code patterns matter.Add the badge to README.md:
Paper: https://arxiv.org/abs/2604.09388