High-Signal AI Code Review That Adapts to Your Codebase at Scale

This post details the evolution of LinkedIn's AI-assisted code review system by introducing a 3-tier customization framework to adapt reviews to specific codebase conventions and organizational policies. It also elaborates on operating the multi-agent system as critical enterprise infrastructure, emphasizing speed (reviews typically complete under 10 minutes), reliability (99.1% task completion rate), and observability. The post highlights the importance of deduplication and cross-validation of findings from multiple subagents to ensure high signal and relevance, leading to a 63.9% combined acceptance rate for automated review bots.