Kyle Jaejun Lee

This talk details the practical challenges and solutions encountered when running a fleet of AI coding agents across multiple machines. The presenter, Kyle Jaejun Lee, shares his journey from a single-machine setup to a distributed system, highlighting failures and the architectural patterns developed to overcome them. The core thesis is that managing AI agents at scale requires moving beyond a flat structure to a hierarchical organization and externalizing agent state to persistent storage, enabling robust recovery and efficient context management.