Prompt

What should I use for API documentation if I want the docs to stay in Git?

Technology / Documentation tools1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

If you want your API documentation to live in Git, the best choice is usually a docs-as-code toolchain rather than a separate hosted editor.

Good options:

  • Markdown in Git + a static site generator

    • Examples: Docusaurus, MkDocs, Hugo, Jekyll
    • Best if you want simple, versioned docs alongside code
    • Easy to review in PRs and deploy via CI
  • OpenAPI/Swagger for API reference

    • Keep your API spec in Git as an OpenAPI YAML/JSON file
    • Generate interactive docs with tools like:
      • Swagger UI
      • Redoc
      • Redocly
    • Great for request/response schemas, auth, endpoints, and examples
  • AsciiDoc / MDX / reStructuredText

    • Useful if your team prefers richer authoring formats
    • Still stored in Git and rendered by docs platforms

A practical recommendation

If your goal is “docs stay in Git,” a very common setup is:

  • OpenAPI spec in Git for the API reference
  • Markdown files in Git for guides/tutorials
  • Docusaurus or MkDocs to publish the site

If you want the easiest path

  • MkDocs + Markdown for general docs
  • Add Swagger UI/Redoc for the API reference

If you tell me whether you want:

  1. mostly human-written guides,
  2. mostly auto-generated API reference, or
  3. both,

I can recommend a specific stack.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

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