Type: url
Original: https://tech.meituan.com/2026/05/07/Agent-AI-Coding.html
Status: generated
Summary
A Meituan technical-team post (2026-05-07) on how a team whose code is over 90% AI-generated refactored a 310,000-line agent-evaluation system without pausing delivery. It argues that managing AI coding follows the same logic as evaluating agents — first align people with each other on standards, then encode that consensus as AI Rules and Skills — and describes AI-assisted technical-debt discovery, SOP-driven migration, folding refactoring into feature work, a Pre-PR self-review mechanism and a human-in-the-loop test-case SOP.