Data Bricklaying Diary
Oct 21, 2026 · R&D Management
AI Code Review: Why Two Agents Miss the Same Bugs and How to Fix It
The article explains why simply adding a reviewer AI agent after a developer agent fails when both share requirement misunderstandings, and proposes a structured multi-agent review process: independent judgment against acceptance criteria first, automated mechanical checks, risk-based review division, actionable findings with trigger conditions and verification steps, reverse test validation via mutation and negative testing, and review conclusions tied to specific commits with expiration tracking.
AI code reviewGoogle engineering practicescode review best practices
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