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description Extract non-obvious learnings from session to AGENTS.md files to build codebase understanding

Analyze this session and extract non-obvious learnings to add to AGENTS.md files.

AGENTS.md files can exist at any directory level, not just the project root. When an agent reads a file, any AGENTS.md in parent directories are automatically loaded into the context of the tool read. Place learnings as close to the relevant code as possible:

  • Project-wide learnings → root AGENTS.md
  • Package/module-specific → packages/foo/AGENTS.md
  • Feature-specific → src/auth/AGENTS.md

What counts as a learning (non-obvious discoveries only):

  • Hidden relationships between files or modules
  • Execution paths that differ from how code appears
  • Non-obvious configuration, env vars, or flags
  • Debugging breakthroughs when error messages were misleading
  • API/tool quirks and workarounds
  • Build/test commands not in README
  • Architectural decisions and constraints
  • Files that must change together

What NOT to include:

  • Obvious facts from documentation
  • Standard language/framework behavior
  • Things already in an AGENTS.md
  • Verbose explanations
  • Session-specific details

Process:

  1. Review session for discoveries, errors that took multiple attempts, unexpected connections
  2. Determine scope - what directory does each learning apply to?
  3. Read existing AGENTS.md files at relevant levels
  4. Create or update AGENTS.md at the appropriate level
  5. Keep entries to 1-3 lines per insight

After updating, summarize which AGENTS.md files were created/updated and how many learnings per file.

$ARGUMENTS

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