大厂工程师的AI流水线困境
论证要点
- 作者引用voxium的叙述:入职大厂半个月,发现规格、代码、测试、PRD、工单及其解决、报告等全部由Claude Code生成。
- 团队中没有人喜欢这种工作方式,但被迫尽可能多地交付,高层多次表示推送代码不是瓶颈,质疑为何进展缓慢。
- 工程师每天工作12到13小时,主要动作只是按回车;从L1到L7,所有人都在做同样的事:跟Claude对话。
- 没有人阅读任何产出,包括代码、测试和文档,整个流程缺乏人类理解与审查。
对实践的启示
对做AI应用或使用AI干活的人而言,这则观察警示:若只追求生成速度而忽视人类阅读与理解,团队可能陷入虚假交付,工程师沦为操作员,质量与责任无人承担。
原文摘引
Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code.
People are working 12 to 13 hours a day just to press enter. Nobody is reading anything.
Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude.
▸ 展开原文全文(7 段,抓取自 Simon Willison)
20th September 2026
It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude.
— voxium
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