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Claw Code's public docs and parity repo offer a useful blueprint for how modern AI coding agents are actually structured beyond the model layer.
Hooks, plugin registries, and persistent sessions are what turn an AI coding assistant into an extensible platform instead of a one-shot demo.
Claw Code's parity repo shows why modern coding agents often split responsibilities between Rust for runtime-critical paths and Python for orchestration and migration.
A coding model becomes a real agent only when tool execution, permission policy, and MCP integration are designed as one coherent system.