A New Method for Stable Software: Micro Code Reviews for the AI Era

Short summary

AI code generation has outpaced traditional code review methods. The author proposes git-lrc, a lightweight technique that runs code review at commit time to catch architectural issues, data leaks, and behavioral regressions in AI-generated code. It's a practical, cheap verification method for developers moving quickly.

• •AI tools (Copilot, Cursor, Claude Code) generate code faster than humans can manually review
• •Micro code reviews integrate at git commit stage to catch issues before they're finalized
• •Lightweight verification catches bad patterns, security issues, and unintended behavioral changes

Generated with AI, which can make mistakes.