"If AI can do it, humans shouldn't": team lets AI agent review PRs
Yuchenj_UW · x · 2026-10-28
Yuchen Jin shares her team's AI-native rule: if AI can do it, humans shouldn't touch it. With AI already writing 95% of their code, PRs were still stuck waiting for human approvals — so they built an AI review agent and things immediately improved. Her thesis: how fast an organization becomes AI-native determines whether it thrives or dies.
More from coding & agent
- CodeRabbit Secure adds cross-repo Deep Scan, sandbox exploit verification and merge blocking — nevrekaraishwa2 · 2026-10-28
- Hyphenate raises $45M Series A after 86x revenue growth as agents run 90% of finance work — ahuja_priyank · 2026-10-28
- Aletheia: open-source local memory & rules hub for AI coding tools via MCP, REST and CLI — MissionArea990 · 2026-10-28
- Open-source anymove turns one AI video into motion capture for any creature at $0.26 per clip — noahsolomon · 2026-10-28
- When to stop correcting an AI agent and restart the task instead — ZinchaDEV · 2026-10-28
- MASS paper: one model plays the whole agent team to bootstrap recursive self-improvement — idanbeck · 2026-10-28