How Stanford CS146S Teaches AI-Native Engineering: An Interview with Mihail Eric and Monaco
The second installment of Stanford CS146S, taught by Mihail Eric, brings open source maintainers into the course: students must learn unfamiliar codebases, propose changes, and explain their solutions to maintainers who may merge the patches. The course runs for ten weeks, and the motivation is that a single prompt to a coding agent can now complete last year's assignments.
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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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