斯坦福 CS146S 如何教 AI 原生工程：Mihail Eric 与 Monaco 访谈
[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco — Latent Space
斯坦福 CS146S 第二期由 Mihail Eric 主讲，把开源维护者引入课程：学生需学习陌生代码库、提出改动，并向可能合并补丁的维护者解释方案。课程为期十周，起因是编码智能体一个提示词就能完成去年的作业。
正文
What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers into the course. Students have to learn an unfamiliar repo, propose a change, and ...Latent.SpaceNov 8·121 minListen to this conversation121 minRead transcriptWatch on YouTube
What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers into the course. Students have to learn an unfamiliar repo, propose a change, and explain the patch to the person who might merge it.
Watch the full interview and screenshares on YouTube.
Show notes
Stanford CS146S — The ten-week syllabus and assignments.
The Emperor Has No Clothes — Mihail builds a coding agent from scratch.
Demystifying Claude Code — Mihail traces a real agent harness.
Monaco’s agent workspaces — How the team sets up a workspace for each agent.
How to Kill the Code Review — Our essay on what happens when code generation outruns review.
Basis’s Authority Map — How agents distinguish current behavior from earlier design decisions.
Stripe’s Minions — A look inside Stripe’s background coding agents.
AI Engineer CODE Summit — The conference mentioned in the opening.
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Opening excerpt from The Thinking Mode, EO Studio.Thanks for reading
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