[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco
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…
Annons
Annons
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 Summit0:51 Mihail Eric and Stanford CS146S5:26 What junior engineers need to learn now10:02 Open-source maintainers review the students’ code15:04 A tour of the ten-week syllabus24:04 The loop, tools and harness inside a coding agent32:18 Context engineering for a large codebase38:15 Skills that make you understand the diff46:42 The Monaco.com dispute and the airplane banner50:23 What Monaco does for sales teams59:21 Inside Monaco’s engineering team1:01:40 “You buy to learn, and you build to keep”1:05:24 Making repos agent-ready and closing the on-call loop1:12:37 When code review becomes the bottleneck1:20:37 Security, dependencies and permissions1:30:13 Background agents and Stripe’s Minions1:34:16 MCP portals and why infrastructure converges1:41:22 Building the software factory1:45:24 What work is left for developers?1:52:16 From personal adoption to team autonomy Opening excerpt from The Thinking Mode, EO Studio.