AI Code Review Workflow Pack
Executable CLI validators, review checklists, evidence logs, Cursor/Claude rules, CI integration, and policy config for reviewing AI-generated code changes. Not just prompts – real local tools for safer AI-assisted development.
What you get
- Review checklist generator – Generate structured checklists for unified diffs.
- Review log validator – Validate review logs with pass/fail exit codes.
- Evidence log generator – Create audit-quality JSON/HTML records for every review.
- Cursor rules and Claude Code project rules generators – Enforce AI code review rules in your IDE.
- Policy-driven review enforcement – JSON config that defines what must be reviewed.
- Pre-commit hook and GitHub Actions review gate – Automated enforcement in CI.
- 169 passing tests and full source code – Transparent, verifiable, no hidden behavior.
How it works
Feed a unified diff into the review checklist generator. It produces a structured checklist. Run the validator on your completed review log. If any required items are missing, it exits with a failure code – perfect for CI gates. Generate audit-quality evidence logs for compliance trails.
Best for
Solo developers, small teams, agencies, and tech leads who use AI coding agents but still need structured review evidence before merge.
What this is not
- Not a security audit tool or vulnerability scanner.
- Not a code review replacement – it structures your review process.
- Not a SaaS – local tools you run on your machine.
- Not a subscription – one-time purchase.
Requirements
Python 3.10+. Runs locally and offline. No SaaS required.
Related products
- Basic Kit – lightweight checklist for solo developers.
- Pro Kit – expanded risk scoring, client-ready deliverables.
- Secret/Config Diff Scanner – catch API keys and risky config changes in AI-generated diffs.