A developer integrated an AI model, CLAUDE.md, to review code commits, but found it doesn't directly catch bugs. Instead, the AI's feedback forces a triage decision on each comment, which has significantly altered the developer's workflow. The developer categorizes feedback into three buckets: 'Fix it, no discussion' for unambiguous, low-risk changes; 'Ask first' for ambiguous or architecturally significant suggestions requiring human judgment; and 'Skip silently' for duplicate or irrelevant comments. This triage process, rather than the AI's direct code review, has reduced review fatigue by preventing misinterpretations and unnecessary re-work. AI
IMPACT This approach highlights how AI can augment developer workflows by forcing structured decision-making on feedback, potentially reducing review fatigue.
RANK_REASON Developer's personal experience and workflow changes using an AI tool, not a product release or research.
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