Prompt

How do I stop manual changes from breaking my API docs?

Technology / Documentation tools1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

The best way to stop manual changes from breaking your API docs is to make the docs generated from a single source of truth and enforce that in CI.

What to do

  1. Generate docs from code or schema

    • Use OpenAPI/Swagger, JSON Schema, gRPC/proto annotations, or framework decorators.
    • Avoid hand-editing published docs whenever possible.
  2. Keep docs in the repo, but don’t edit them manually

    • Treat generated docs like build artifacts.
    • If you need custom notes, store them in separate source files/templates that the generator uses.
  3. Add validation in CI

    • Run a docs generation step in your pipeline.
    • Fail the build if the generated docs differ from the committed docs.
    • Optionally validate the OpenAPI spec for breaking changes.
  4. Automate publishing

    • Regenerate docs on every merge/release.
    • Publish from the built artifact, not from a manually maintained copy.
  5. Use contract tests

    • Test that responses match the schema.
    • Test endpoints that docs claim exist actually exist.

Good workflow

  • Developer changes API code
  • CI generates OpenAPI spec/docs
  • CI compares against the checked-in spec/docs
  • If there’s a mismatch, the build fails
  • Docs get published only from the verified generated output

If you still need manual edits

Use one of these:

  • markdown templates + includes
  • doc overrides file separate from generated spec
  • post-processing step that adds human-written sections after generation

Rule of thumb

If a human edits the final API doc directly, it will drift.
If humans edit the inputs and the docs are generated, drift is much harder.

If you want, I can suggest a setup for your stack (for example: FastAPI, Spring, Express, Django, .NET, or OpenAPI-first).

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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