Prompt

How do I generate SDKs and docs from the same spec?

Technology / Documentation tools1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

A common way is to keep one source-of-truth API spec and run multiple generators from it.

Typical setup

Use a spec format like:

  • OpenAPI for REST APIs
  • GraphQL schema for GraphQL APIs
  • AsyncAPI for event-driven APIs

Then generate:

  • SDKs with a code generator
  • Docs with a documentation generator

Example with OpenAPI

If you have an openapi.yaml, you can generate both:

SDKs

Use tools like:

  • OpenAPI Generator
  • Swagger Codegen

Example:

openapi-generator-cli generate -i openapi.yaml -g typescript-axios -o ./sdk

Docs

Use tools like:

  • Redoc
  • Swagger UI
  • Stoplight Elements

Example with Redoc:

redocly build-docs openapi.yaml

Recommended workflow

  1. Write and maintain the spec in version control.
  2. Validate the spec in CI.
  3. Generate SDKs for each target language.
  4. Generate docs from the same spec.
  5. Publish both on release.

Good practice

  • Keep the spec authoritative; don’t hand-edit generated SDKs.
  • Use templates/config to customize generated output.
  • Version the spec so SDKs and docs stay in sync.

Minimal pipeline example

# Generate docs
redocly build-docs openapi.yaml -o docs.html

# Generate SDK
openapi-generator-cli generate -i openapi.yaml -g python -o ./python-sdk

If you want, I can give you:

  • a full CI pipeline example
  • a GitHub Actions workflow
  • or a setup for OpenAPI + TypeScript/Python SDKs + docs

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.

Which AI systems does Obsurfable collect answers from?

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

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

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