Karl Marx 会怎么看我的编程智能体
What Karl Marx Would Say About My Coding Agents
Every 的工程师 Loren Stewart 搭建了一套"代码工厂"：先用 LLM 制定计划并让另一个智能体审核，再把计划拆成可并行的小块，由智能体完成几乎全部实现、调试和互相审查，通过自动检查与独立智能体审批后合并。他借用 Karl Marx 的异化理论，反思把编码交给智能体后失去的试错过程，并讨论何时该自动化、何时该监督、何时该亲手写代码。
Four ways AI disconnects you from your code—and when to automate, supervise, or code by hand
Oct 30, 2026 · 7 min read
Loren Stewart, an engineer working on Every’s Slack agent, has built himself a software factory that can produce a new feature while he goes about his day. But handing off the coding also meant losing the trial and error that helped him learn and made the work satisfying. In today’s piece, he turns to Karl Marx’s theory of alienation to understand that loss and considers when to automate, when to supervise, and when to do the work himself. I think many of us will recognize this question, whether or not we write code.—Kate Lee
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For the past couple of months, I’ve been perfecting a code factory.
I develop a plan with an LLM, review it myself, and have another agent review the plan. Then the factory decomposes the plan into small chunks that can be worked on in parallel. My agents do nearly all the implementation work after planning. They use a browser and terminal to hammer out the new features, find bugs, review other agents’ work, and fix resulting issues. Changes go in only after they pass automated checks and a separate agent reviews and approves every issue.
I can start my factory, go about my day, and return to a new feature or an entire app. The result may be better than what I would have written myself. It certainly arrives faster.
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来源：Every：最新文章 · every.to