The author describes a strategy for managing code reviews when using multiple AI coding agents that generate more code than can be manually reviewed. The approach involves making code quality rules stricter than a human team would tolerate, moving these rules into configuration files with documented exceptions, and ensuring the rules themselves are pure, tested functions. This system aims to automate code quality checks, allowing the author to merge pull requests without direct review. AI
IMPACT This workflow shift suggests AI agents can automate code quality checks, potentially reducing manual review burden for developers.
RANK_REASON The item is a personal reflection on a workflow strategy using AI coding tools, rather than a direct announcement or research finding.
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