Towards Self-Driving Code Bases: Orchestrating Thousands of AI Agents to Build a Browser

An in-depth look at Cursor’s ambitious system that turned thousands of AI agents into a coordinated software factory. From the single-genius Opus 4.5 to a recursive, isolated hierarchy, we explore how isolation, slack, and precise prompting solved memory and throughput bottlenecks, why disk IO proved the ultimate constraint, and how the organization mirroring Conway’s law emerged as the fastest path to scalable code. Practical takeaways for teams eyeing AI-driven development.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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