Stanford CS146S Adds Maintainer-Led Coding-Agent Assignments
In an AI Engineer YouTube interview, Mihail Eric described how Stanford’s second run of CS146S incorporated open-source maintainers. Students learn an unfamiliar repository, propose a change and explain their patch to the maintainer who may merge it. Eric said many assignments from the first run could now be completed with one prompt. He also described Monaco’s use of coding agents to ship software and investigate outages. The team evaluated code-review products, continued using Devin, and built agent workspaces so background agents could run the product, reproduce failures and test patches.
The revised coursework emphasizes repository understanding, maintainer intent, potential breakage and discussion with a senior maintainer rather than only one-prompt implementation. Monaco’s practices provide a reported engineering example of pairing purchased tools with purpose-built agent workspaces.
The AI Engineer YouTube channel just crossed one million subscribers. Thank you to everyone who’s watched a talk, sent one to a teammate, or put something they learned into production. For this special, we wanted to sit down with someone who has to answer a question a lot of us are asking at work: what should a software engineer actually learn now?
Mihail Eric has two places to test his answer. He teaches The Modern Software Developer at Stanford and leads AI at Monaco, where his colleagues use coding agents to ship software and investigate outages. I asked him to take us through the syllabus, then tell us which parts survived contact with his own engineering team.
This is also meant as a preview for all of you joining us in San Francisco for AIE Code next week, as required knowledge for all the conversations with the speakers, sponsors and attendees you’re about to have. If you can see this as a LS subscriber and haven’t got a ticket yet, you can use this code for 30% off (no refunds, sorry)
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