Initial AI code reviewer was too noisy, producing many low-value comments and false positives
Requiring the AI to log explicit reasoning improved traceability and reduced arbitrary findings
Simplifying the toolset to only essential components increased review precision
Splitting tasks into specialized micro-agents allowed focused, accurate analysis
These changes cut false positives by 51% and halved comments per pull request
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