Agent-Friendly Repository Bootstrapping Guide
To maximize the efficiency of AI coding agents, repositories should move away from raw directory traversal or full-codebase searching, which are slow, expensive, and error-prone. This guide outlines how to build an "Agent-Friendly" codebase using precompiled indices, clear instruction files, and automated verification tools.
📌 1. The Core Strategy
Instead of forcing agents to scan directories recursively, we build a documentation-as-code (DaC) layer supported by automated scripts:
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