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

Modern software development is undergoing a paradigm shift as autonomous coding agents redefine the software development lifecycle. Mihail Eric, adjunct professor at Stanford and head of AI at Monaco, outlines a curriculum focused on context engineering, agent-ready codebases, and the transition from manual coding to managing AI-driven software factories. Key insights include the necessity of moving beyond vanilla prompting toward sophisticated context management, the emergence of background agents for SRE and CI/CD, and the critical role of human oversight in verifying AI-generated code. As coding agents become standard, the engineer's role evolves from writing individual lines of code to orchestrating complex, multi-agent systems. Success in this new era requires deep technical intuition, a focus on verifiable systems, and the ability to navigate the trade-offs between building proprietary infrastructure and leveraging evolving third-party agentic tools.