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Stanford updates AI engineering course for agent-native students

By PulseAugur Editorial · [2 sources] ·

Stanford University is adapting its AI-native engineering curriculum to account for the widespread use of coding agents among students. Professor Mihail Eric has updated the CS146S course syllabus to incorporate assignments where students must interact with open-source maintainers, ensuring they understand code context and the review process beyond agent-generated suggestions. At Monaco, where Eric also leads AI, the team has developed custom agent workspaces and utilizes tools like Devin for code review, while also building internal systems like Hal to assist both engineers and sales teams with code-related tasks. AI

IMPACT Highlights the evolving skills needed for software engineers in an AI-native environment, emphasizing human oversight of AI-generated code.

RANK_REASON Article discusses educational curriculum and internal tooling at a company, not a new release or significant industry event.

Read on Latent Space (swyx) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Stanford updates AI engineering course for agent-native students

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Article discusses educational curriculum and internal tooling at a company, not a new release or significant industry event.
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COVERAGE [2]

  1. Latent Space (swyx) TIER_1 English(EN) · swyx .ai ·

    How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco

    What happens when students can one-shot last year’s homework? Inside CS146S and the engineering team at Monaco.

  2. Latent Space (swyx) TIER_1 English(EN) · Latent.Space ·

    [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 ...

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