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[百万名AI工程师特刊] 斯坦福大学如何教授AI原生工程 — 米哈伊尔·埃里克,摩纳哥

原文标题 · [One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco

当编程智能体可通过一个提示完成去年的作业时,你会如何分配任务?在斯坦福大学CS146S课程的第二次运行中,米哈伊尔·埃里克将开源维护者引入课程中。学生需学习一个陌生的代码仓库,提出一个修改建议,并……

来源:Latent Space · latent.space

正文为英文,可一键机器翻译(仅首次需要等待)

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.

We invited Mihail, who teaches The Modern Software Developer at Stanford and leads AI at Monaco, to celebrate one million subscribers on the AI Engineer YouTube channel. He opens up the course syllabus and shows us which lessons survived contact with his own engineering team. Monaco built its agent workspaces, bought its code review tools, and gave an on-call agent access to Datadog and GitHub. We ask how he decides which tools his team needs to own.

Watch the full interview and screenshares on YouTube.

Show notes

Timestamps

0:00 One million AI Engineer subscribers and the CODE Summit
0:51 Mihail Eric and Stanford CS146S
5:26 What junior engineers need to learn now
10:02 Open-source maintainers review the students’ code
15:04 A tour of the ten-week syllabus
24:04 The loop, tools and harness inside a coding agent
32:18 Context engineering for a large codebase
38:15 Skills that make you understand the diff
46:42 The Monaco.com dispute and the airplane banner
50:23 What Monaco does for sales teams
59:21 Inside Monaco’s engineering team
1:01:40 “You buy to learn, and you build to keep”
1:05:24 Making repos agent-ready and closing the on-call loop
1:12:37 When code review becomes the bottleneck
1:20:37 Security, dependencies and permissions
1:30:13 Background agents and Stripe’s Minions
1:34:16 MCP portals and why infrastructure converges
1:41:22 Building the software factory
1:45:24 What work is left for developers?
1:52:16 From personal adoption to team autonomy

Opening excerpt from The Thinking Mode, EO Studio.