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Stanford teaches AI-native engineering with coding agents

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

Latent Spaceby swyx .ai ()16 min read
Part of a story covered by 2 sourcesStanford CS146S Teaches AI-Native Engineering via Code ReviewsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

Mihail Eric shares Stanford CS146S syllabus and Monaco agent workflows.

Mihail Eric teaches The Modern Software Developer at Stanford and leads AI at Monaco. The AI Engineer YouTube channel reached one million subscribers. Stanford CS146S students contribute to open-source projects by reviewing patches. Monaco builds custom agent workspaces for code review and debugging.

Key facts
  • CS146S includes nine assignments and a capstone
  • Students review maintainer patches on open-source repos
  • Monaco uses agents like Hal for outage investigation
  • Repos predicted to become agent-run software factories
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From the original article

16 min read at latent.space

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

Latent Space

By swyx .ai · latent.space

Read the full article at Latent Space

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.