斯坦福 CS146S 如何教 AI 原生工程：Mihail Eric 谈智能体时代的软件教学
[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco
斯坦福 CS146S 第二期课程把开源维护者请进课堂，学生需学习陌生代码库、提出改动并向可能合并代码的维护者解释补丁。授课者 Mihail Eric 同时负责 Monaco 的 AI 业务，他公开了十周课程大纲，并介绍 Monaco 为每个智能体配置工作区、采购代码审查工具、让 on-call 智能体接入 Datadog 和 GitHub。他总结工具策略为“买来学习，自建来保留”。
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
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.
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.
来源：Latent Space · latent.space