From Noise to Precision: AI Code Review, Reimagined

Cubic's AI code review agent, initially plagued by excessive noise and false positives, underwent a significant transformation. Three key architectural revisions led to a 51% reduction in false positives. These improvements included requiring explicit reasoning from the AI before feedback, streamlining the toolset to essential components, and employing specialized micro-agents for focused tasks. The result? A smoother, more efficient code review process with increased developer trust and productivity.