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[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco — Latent Space

AchievementResearchNov 8, 2026

In the second run of Stanford's CS146S course, students learn an unfamiliar open-source repo, propose a change, and explain their patch to the maintainer who might merge it. Instructor Mihail Eric, who leads AI at Monaco, discussed the syllabus and his engineering team's practices, including agent workspaces, purchased code review tools, and an on-call agent with access to Datadog and GitHub. The interview marks one million subscribers on the AI Engineer YouTube channel.

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latent.spaceBloghttps://latent.space/p/one_million_ai_engineer_special_how_stanford_teaches_ai-native_engineering_mihail_eric_monaco/This source pairs the CS146S syllabus with Eric's own engineering practices at Monaco, including agent workspaces, purchased review tools, and an on-call agent tied to Datadog and GitHub.
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GitHubCompanyStanfordCompanyStripeCompanyDatadogCompanyMonacoCompanyBasisCompanyMihail EricPerson
Canonical: https://latent.space/p/one_million_ai_engineer_special_how_stanford_teaches_ai-native_engineering_mihail_eric_monaco/