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@Simon Willison's Weblog
引用 voxium：一家大公司里所有工程产出都由 Claude Code 生成
Simon Willison 引用 X 用户 voxium 的自述：其入职一家大公司半个月，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，团队无人喜欢这种方式，却被要求尽可能多地产出。管理层多次表示推代码不是瓶颈，质疑为何仍慢；员工每天工作 12 至 13 小时只为按回车，从 L1 到 L7 工程师都在做同样的事，没人阅读任何内容。该帖为个人经验陈述，未提供公司名称或可验证数据。
AI推荐理由 这是一条来自 X 的匿名从业者自述，经 Simon Willison 引用转载，属于个人经验陈述而非可验证报道。其新信息在于描述一种极端的大公司 AI 编码落地场景：规格、代码、测试、PRD、工单及其解决、报告全部由 Claude Code 生成，团队无人阅读，L1 到 L7 工程师都在'和 Claude 对话'，管理层认为推代码不是瓶颈。该内容对理解 AI 编码工具在大型组织中的实际使用方式、审查缺失和工程文化风险有参考价值，但缺乏公司、团队、数据等可核实细节，且为单方叙述，不能当作行业普遍事实。
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> 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](https://twitter.com/v0xium/status/2101526107128529120)
Tags: [ai-misuse](https://simonwillison.net/tags/ai-misuse), [llms](https://simonwillison.net/tags/llms), [ai](https://simonwillison.net/tags/ai), [generative-ai](https://simonwillison.net/tags/generative-ai)