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How are you guys handling code reviews when a lot of the code is written by AI?
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How are you guys handling code reviews when a lot of the code is written by AI?

DEV Community: github·Edward Izgorodin·about 16 hours ago
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GitHub, Google, Anthropic's Claude Code team and one team that published its checks write down these changes between them. Keep pull requests small: Google's engineering practices guide says "In general, the right size for a CL is one self-contained change", and GitHub's docs say "Small, focused pull requests are easier to review and safer to merge." Run checks before a person reads the diff: GitHub's tutorial on how to review AI-generated code begins its first step with "Always run automated tests and static analysis tools first." Make the author explain the change: the Claude Code team's pull request template asks how the change was tested and how to undo it.…

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