[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco
Latent Space interviews Mihail Eric, who teaches Stanford's CS146S course, for 2:00:44 on how Stanford teaches AI-native engineering, the ten-week syllabus, coding-agent internals and the software factory.
Key points Tap a time to jump
The guest is Mihail Eric, who teaches Stanford's CS146S Modern Software Developer course and leads AI at Monaco
What junior engineers need to learn now that AI can complete last year's homework
Students read an unfamiliar open-source repo, propose a change, and have maintainers review their code
A walk through the ten-week syllabus
The loop, tools and harness inside a coding agent
Context engineering for a large codebase
Making repos agent-ready and closing the on-call loop
What happens when code review becomes the bottleneck
Security, dependencies and permissions
From personal adoption to team autonomy
Comments
More to watch
All →- 23:14Copilot Fusion and the Pareto Frontier — Jay Parikh, EVP of CoreAI, Microsoft
- 50:50Mini Brains, Beating Heart Organoids, and the AI That Predicts Them — Fabian Theis, Helmholtz Munich (50:50)
- 1:04LifeVal: Measuring AI progress on the tasks that matter in everyday life (1:04)
- 1:42:27How Anthropic's IPO Could Help Finance Its GPUs — Jamin Ball, Altimeter (1:42:27)
Latest news
All →- Nov 9Anthropic Launches Claude Fable 5.2 and Mythos 5.2
- Nov 9Oxford Study: Frontier AI Agents Struggle to Coordinate With Strangers
- Nov 9Thinking Machines Reportedly Nears $5B Round at $40B Valuation
- Nov 9Meta Expands Instagram AI Age Estimation Worldwide
- Nov 9Anthropic Reportedly Pays $3.4B for 1.7 GW of Gas Generators
- Nov 9Google Adds TPU 8tx and 8i Max to Eighth-Gen Lineup
Today
Nov 10 Tuesday- BriefAnthropic Reportedly Pays $3.4B for 1.7 GW of Gas Generators
13 stories · Nov 9
- GitHubGitHub Weekly Vol.5: 6 Projects Worth a Look This Week
Tested or read — weeklyAll →
- Quiz
- Call
™