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Repo context and artifacts

For AI-assisted docs work, context quality matters more than prompt cleverness.

Useful context includes:

  • repo summary
  • entrypoints
  • commands
  • source docs and runbooks
  • risky areas
  • verification expectations

Those inputs should shape the artifacts that the AI flow relies on, such as repo guidance, system-level instructions, and example docs.

Example​

Strong AI context:

  • docs/architecture.md
  • README.md
  • real commands from the repo
  • explicit review boundaries

Weak AI context:

  • only the repo name
  • no source docs
  • vague instructions like be careful

Why this matters​

If the context is weak, even a strong model produces shallow output. Good repo artifacts make AI-assisted docs updates more repeatable and easier to review.

Next steps​