LinkedIn has developed a multi-agent AI code review system to address the bottleneck of code reviews at scale. The system uses multiple AI models in parallel, with findings deduplicated and cross-validated to ensure high signal and relevance. A 3-tier customization framework allows for adaptation to specific codebase conventions and organizational policies. The system is operated as critical enterprise infrastructure with a focus on speed, reliability, and observability, achieving a high acceptance rate of 63.9% for automated review bots. This iteration focuses on enhancing the system's adaptability to diverse codebases through a 3-tier customization framework and improving its operational rigor as critical enterprise infrastructure, including staged rollouts, paged on-call, and end-to-end observability.
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