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As AI agents write most code, engineers shift from coding to designing systems that constrain, verify, and improve AI output. The article argues this transition is already underway, with companies like Artemis seeing engineers ship dozens of AI-written pull requests daily.
- Artemis engineers went from merging 2 pull requests daily in January to 30 in August 2026 by having AI agents write code while engineers design systems and set constraints
- Verification loops—not just better models—enable scale: SpaceX's Grok team ships ~2,000 pull requests monthly through robust testing and reviewer agents
- Great system design requires three properties: resilience (AI validates its own work), self-organization (systems learn from failures), and hierarchy (composable, reusable components)
A former Meta React compiler engineer and Netflix EM discusses how to build and manage multiple AI agents to automate routine work. The post highlights a SpaceXAI engineer running 10-20 agents coordinated by a "Chief of Staff" agent, framing this practical approach as more valuable than paid courses on agentic systems.
- A former SpaceX AI engineer (ex-Cursor) runs 10-20 Grok agents to automate 90% of routine work, coordinated by a "Chief of Staff" agent
- The podcast guest, an ex-Meta React compiler engineer and former Netflix EM, approaches agent tech with skepticism, detailing specific problems before showing how they're solved
- The poster frames this 50-minute conversation as more valuable than paid courses on agentic engineering