Give an agent repository context

AI

Help an agent build an accurate mental model of the repository before edits.

Context

  • Project purpose and constraints
  • Runtime/toolchain and package manager
  • Critical directories and ownership boundaries

Agent instructions

  • Summarize architecture and key modules before proposing changes.
  • List entry points, tests, and validation commands.
  • Call out assumptions and unknowns explicitly.

Verification

  • Agent summary matches repo structure.
  • Commands are runnable and accurate.
  • No invented components or scripts.

Expected result: A concise repo map and a low-risk execution plan.

Compatible tools: GitHub Copilot, Claude Code, Cursor, Windsurf, Aider