2 links tagged with all of: multi agent systems + engineering
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Jeff Dean's lecture breaks down the full AI engineering pipeline from building LLMs to orchestrating multi-agent systems, targeting developers who skip prompt engineering courses and need to understand how production AI actually works.
- Most developers learn AI wrong by focusing on prompt engineering instead of production systems fundamentals
- The lecture covers the complete stack: orchestration, RAG, evals, context engineering, and inference
- One person can coordinate 100 agents using proper engineering practices
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