DoorDash Multi-Model AI Reviewer Raises Code Issue Detection to 53.6%

Rohan Paul@rohanpaul_aiTECH

DoorDash showed open-source models can lift AI code review when used together. And that harnesses now matter. Single-pass AI reviewers caught only 30.7% of weighted PR issues. The company’s production reviewer raised that to 53.6%, while costing $3.91 per PR. That jump came from splitting review into two jobs, scouting first, then verifying. A scout model scans the diff for risky areas before deeper reviewers test claims. The strongest run used Kimi K2.6 as scout and Claude Fable 5 as reviewer. That setup hit 65.2% weighted recall, 75.3% F1, and $3.81 per PR. Composer 2.5 with GPT 5.5 medium reached 92.2% precision, but much lower recall.

DoorDash Multi-Model AI Reviewer Raises Code Issue Detection to 53.6%

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