工程师称 Claude Code 让工作变得“吞噬灵魂”

争议焦点： AI 曾被承诺将让程序员的生产力大幅提升。但一名软件工程师的爆红帖文称，AI 正把员工变成几乎没有技能的“无人机”，他们“每天工作 12 到 13 小时，只是为了按下 Enter 键”。

这名工程师因担心遭到雇主报复，以用户名 voxium 匿名在 X 上发帖。他称自己在一家未披露名称的公司担任的新角色“吞噬灵魂”。

毫无疑问，可能有不少人都会这样形容自己的工作，但让 voxium 痛苦的根源是 Claude Code。

他说，Anthropic 的 AI 如今正在生成从产品规格、测试到工单和报告在内的一切内容。

voxium 周日写道：“这里没有人知道任何事情。人们每天工作 12 到 13 小时，只是为了按下 Enter 键。”

这名工程师补充称，员工如今被要求尽可能快地交付产品，几乎没有时间审查 Claude 的输出，或理解正在生成的代码。

Voxium 表示，如果员工能获得更多时间检查代码，他并不会介意这种情况。

“这里从 L1 到 L7 工程师，所有人，真的所有人，都在做同一件事：和 Claude 对话，”他补充道。“没有任何胜利感。没有人在解决 Bug。实际上，已经没有人在思考了。”

有些人看到这一幕或许会想：问题在哪里——谁不愿意拿钱却几乎不用做事？但大多数人在工作失去意义时都会感到挣扎。Voxium 告诉 Business Insider，如果工程师失去理解代码和解决困难问题的机会，“就什么都不剩了……甚至连灵魂也没有。将不再有任何目标。”

他补充说，真正的问题在于企业领导者痴迷于推出更多功能。他表示，管理层经常以 Sprint 周期、Pull Request 以及交付功能的绝对数量来衡量成功，即使这些新增内容几乎没有改善用户的产品体验。

还有几名回复该帖的程序员表示，这种情况与他们自己公司正在发生的事如出一辙。除了同样面临目标感丧失的问题外，一些人还担心，随着 Claude 接管编码工作流中的更多任务，这将导致裁员。

该帖收到了许多知名人士的回复，其中包括 Elon Musk；他留下了自己常用的感叹：“Yikes（糟糕）”。

All-In Podcast 联合主持人 Chamath Palihapitiya 警告称，AI 正在把一代技术专家变成“在赌场老虎机前按按钮的人”。

早在 2025 年，一项研究显示，AI 编程助手实际上正在拖慢有经验的开发者。此后，我们又了解到，AI 编程正演变为“循环工程（loop engineering）”——一种能够自行提示自身的系统。

作为 AI 编程助手可能严重出错的提醒，今年 4 月，一名 Agent 只用了九秒钟，便通过一次对云服务提供商的 API 调用，删除了一家初创公司的生产数据库及其备份。

A hot potato: One of the many things we were promised that AI would enable was making coders super productive. But one software engineer's viral post claims it is reducing employees to little more than unskilled drones who work "12 to 13 hours a day just to press enter."

The engineer, who posted anonymously on X under the username voxium for fear of reprisal from his employer, called his new role at an undisclosed company "soul-sucking."

There are doubtlessly quite a few people who would describe their jobs the same way, but the source of voxium's misery is Claude Code.

He says that Anthropic's AI is now generating everything from product specifications and tests to tickets and reports.

"Nobody knows anything here," voxium wrote on Sunday. "People are working 12 to 13 hours a day just to press enter."

The engineer added that employees are now pressured to ship products as fast as possible, leaving them with little time to review Claude's output or understand the code being created.

Voxium said he wouldn't mind the situation if workers were given more time to check the code.

"Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude," he added. "There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore."

Some people might look at this and wonder what the problem is – who wouldn't want to be paid to do very little? But most people struggle when their work has no meaning. Voxium told Business Insider that if engineers lose the opportunity to understand the code and solve difficult problems, "there is nothing left ... Not even our soul. There will be no purpose."

He added that the real problem is corporate leaders' obsession with pushing out more features. He said management often judges success by sprint cycles, pull requests, and the sheer number of features shipped, even when those additions do little to improve the product for users.

Several other coders who replied to the message said the situation mirrored what was happening at their own companies. In addition to facing the same loss of purpose, some fear it will lead to job cuts as Claude takes over more tasks in the coding workflow.

The post received plenty of replies from high-profile figures, including Elon Musk, who added his favorite "Yikes" exclamation.

Chamath Palihapitiya, co-host of the All-In Podcast, warned that AI was turning a generation of technical experts into people "pushing a button in front of casino slot machines."

Back in 2025, a study showed that AI coding assistants were actually slowing down experienced developers. Since then, we've heard how AI coding is evolving into "loop engineering" – a system that prompts itself.

As a reminder that AI coders can get things very wrong, one agent in April took only nine seconds to wipe a startup's production database and its backups with a single API call to its cloud provider.