Based on 28 visible X reactions from 45 accounts; directional sample.
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@OpenAIDevs AGENTS.md rules are policy code. I’d test each new rule against historical PRs before merging it: does it catch the original defect, how many false positives does it create, and what context does it need? Otherwise repeated review comments become permanent automated noise.
@jxnlco This is the highest return habit I have found with coding agents. Any review comment you find yourself repeating twice belongs in the rules file, and after a few weeks those reviews mostly go quiet. The trap is letting the file grow, mine works best under about 15 rules.
@OpenAIDevs I love this, and hopefully this helps me make more progress than I did with my last set of weekly usage. Thank you @OpenAI for all the work you do continuously improving your product
@OpenAIDevs Repository-specific review rules in AGENTS.md is a big upgrade. The repeated reviewer nitpicks are exactly what should be automated.
@OpenAIDevs ohh wow, this is actually great feature which can help to improve code review accurately and efficiently!
@OpenAIDevs If only there was another thing people kept repeating, just bring back 4o. #4oForAll
Codex Code Review can now use custom repository rules in AGENTS.md. Start with a check your reviewers keep repeating. Keep it concise and scoped so Codex can catch repository-specific issues even when the relevant context is siloed. https://developers.openai.com/blog/custom-code-review-rules-for-codex
codex tip: teach code review what your team keeps repeating. add a “Code Review Rules” section to AGENTS.md. codex will apply your repo-specific guidance and cite it on pull requests. https://developers.openai.com/blog/custom-code-review-rules-for-codex
Based on 28 visible X reactions from 45 accounts; directional sample.
Ask a question below.
Published answers will appear here.
Codex can now use custom review rules from AGENTS.md, so the context that usually lives in a few reviewers’ heads can be applied to every PR quite useful