From 05f034a3b6e7bd6712ef3b1e79b534a5966b2fd8 Mon Sep 17 00:00:00 2001
From: lodge <jay.logelin@gmail.com>
Date: Sat, 25 Oct 2025 12:51:27 -0300
Subject: [PATCH] chore: updated build

---
 README.md |  8 ++++----
 build.zig | 20 ++++++++++++++++++--
 2 files changed, 22 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 4535e7d..05ad98b 100644
--- a/README.md
+++ b/README.md
@@ -94,7 +94,7 @@ The `examples/` directory contains several demonstrations:
 Demonstrates homomorphic integer addition using a full adder circuit:
 
 ```bash
-build add_two_numbers -Doptimize=ReleaseFast -Dcpu=native 
+zig build add_two_numbers
 ```
 
 This example adds two 16-bit numbers (402 + 304 = 706) entirely in the encrypted domain using homomorphic XOR, AND, and OR gates. See [examples/README.md](examples/README.md) for details.
@@ -110,9 +110,9 @@ zig build test
 Run specific test modules:
 
 ```bash
-zig test src/gates.zig --test-filter "gates all" -Doptimize=ReleaseFast -Dcpu=native 
-zig test src/utils.zig  -Doptimize=ReleaseFast -Dcpu=native 
-zig test src/key.zig --test-filter "secret key" -Doptimize=ReleaseFast -Dcpu=native 
+zig test src/gates.zig --test-filter "gates all"
+zig test src/utils.zig
+zig test src/key.zig --test-filter "secret key"
 ```
 
 **Note**: The full test suite includes cloud key generation which takes ~30 seconds. Use test filters to run faster subsets during development.
diff --git a/build.zig b/build.zig
index 240f579..074a1c4 100644
--- a/build.zig
+++ b/build.zig
@@ -1,8 +1,24 @@
 const std = @import("std");
 
 pub fn build(b: *std.Build) void {
-    const target = b.standardTargetOptions(.{});
-    const optimize = b.standardOptimizeOption(.{});
+    // Default to native CPU with all features for best performance
+    const target = b.standardTargetOptions(.{
+        .default_target = .{
+            .cpu_arch = null, // Use native architecture
+            .os_tag = null, // Use native OS
+            .abi = null, // Use native ABI
+            .cpu_model = .native, // Use native CPU model (enables CPU-specific optimizations)
+        },
+    });
+
+    // Default to ReleaseFast for optimal performance
+    // TFHE is computationally intensive, so we want fast execution by default
+    // Can still override with -Doptimize=Debug for debugging
+    const optimize = b.option(
+        std.builtin.OptimizeMode,
+        "optimize",
+        "Prioritize performance, safety, or binary size (-O flag)",
+    ) orelse .ReleaseFast;
 
     // Create a module for the main source
     const main_module = b.addModule("main", .{