Meta paper: cross-vendor agent review lifts correct patches from 45.8% to 62.5%
rohanpaul_ai · x · 2026-10-06
A Meta paper (RankEvolve) shows that having coding agents from different vendors review each other's patches catches far more silent bugs than giving one agent a bigger budget: mixing Claude Code and Codex raised fully correct patches from 45.8% to 62.5% at matched spend. The key is uncorrelated mistakes — same-product agents fail alike, so review has little to catch — and the effect replicated on an unrelated training codebase. Practical tip: use different AI vendors to critique your work.
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