Most AI code review tools stop after producing findings.
The problem is that AI can generate convincing but incorrect suggestions.
I wanted a safer workflow.
So I built LearnCodeGuide PR Review.
How it works:
- Collect changed files from the pull request
- First AI performs review and proposes fixes
- Second AI validates findings
- Generate a single structured GitHub review comment
Output includes:
- Health Score
- Executive Summary
- Per-file findings
- Suggested fixes
If a CRITICAL issue is detected, the action can fail the job before merge.
The goal isn't replacing developers.
The goal is adding a second layer of review before code reaches production.
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