What We Can Learn About Agent Architecture from the Claude Code Source Leak

A source map accidentally shipped with Anthropic’s Claude Code exposed parts of its internal structure.

The analysis shows that practical AI agents are built around loops, state, tool orchestration, permissions, and guardrails.

This shifts the competitive focus from choosing the best model to designing the best execution architecture.

The case offers a concrete reference for understanding what makes an agent truly operable in production.