The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AI

תקציר מקורי באנגליתDevelopers using autonomous agents wrote 741% more code but shipped only 30% more software. The bottleneck is human review, and "just review harder" doesn't scale. Reviewer effectiveness collapses past about 400 lines, and agents now open 10,000-line PRs. Laurie Voss (Head of Developer Relations at Arize AI, co-founder of npm) reviews what the industry is actually doing about it. The evidence covers OpenAI's zero-human-code product, METR's finding that about half of SWE-bench-passing PRs wouldn't be merged, and Cognition's FrontierCode (88% on SWE-bench Pro vs. 29% on real mergeability). She explains why a mergeability benchmark would immediately become a training signal for frontier models. She also covers how Cursor and GitHub run review in production, why multi-pass review and default s