AI Code Review at Scale: Lessons from LinkedIn

Understand the key design patterns behind a production AI code review system — multi-agent consensus, 3-tier codebase context, evaluation methodology, and infrastructure requirements — so you can apply these principles when building or adopting AI review tooling at your own team.

3 sections · 5 lessons

Course outline

Architecture: How the System Is Designed

  1. Why multi-agent consensus beats a single model
  2. The 3-tier context framework

Measurement: Knowing If It Actually Works

  1. Acceptance rates vary sharply by category
  2. Two-sided evaluation: pre-merge and post-merge

Infrastructure: What It Takes to Run at Scale

  1. Production infrastructure, not a prototype

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