You don’t need an AI reviewer that “sounds smart.” You need a gate that stops risky PRs before they hit main. This post shows a production-ready minimum setup: OpenAI Responses generates structured risk output, GitHub Actions enforces tiered policies, and critical failures can trigger a one-click rollback. ...
你不需要一个“会聊天”的 AI 审查器，你需要一个能阻断坏改动进主干的风险闸门。 这篇给一套可上线的最小方案：OpenAI Responses 负责生成结构化审查结论，GitHub Actions 负责分级阻断，发现高风险时自动回滚到安全提交。 ...
Structured Outputs 最容易翻车的地方，不是“模型不听话”，而是你把 schema 当成了永远不变的圣旨。 线上一旦进入版本演进期，最常见的事故就是：字段新增后老消费端崩、枚举值扩展后校验误杀、坏样本把整条链路拖死，最后只能半夜回滚，像在给自己写惊悚片。 ...
The hardest part of Structured Outputs is not getting JSON once. It is surviving schema changes without turning production into a small fire with excellent logs and terrible business results. Once a Go service starts evolving prompts and response contracts, the usual failure modes show up fast: a new required field breaks older consumers, an enum expands and strict validation kills valid requests, or one bad sample drags the whole chain into retries and rollback panic. ...