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AI API Documentation Generator

Docs that write themselves. Always up to date.

The Problem

API documentation is a chore that developers hate. It's always out of date, incomplete, or missing examples. Teams either spend hours maintaining docs manually or ship terrible developer experience. Meanwhile, good docs are the difference between a beloved API and one that never gets adopted.

The Solution

Connect your GitHub repo, and AI analyzes your code to generate complete API documentation. It extracts endpoints, parameters, response types, and even generates realistic examples. Hosted docs update automatically on every push.

How it works:

1

Connect GitHub

OAuth to your repo

2

AI analyzes code

Extracts endpoints, types, params

3

Publish docs

Beautiful, interactive docs site

Market Research

Documentation tools are a proven market. ReadMe raised $30M+, and Stoplight was acquired for $100M+. But existing tools still require manual input—there's opportunity for truly automated solutions.

  • Poor documentation is the #1 reason developers abandon APIs (Survey)
  • OpenAPI/Swagger is standard but painful to write manually
  • Mintlify raised $20M for docs—market is heating up

AI Prompts to Build This

Copy and paste these into Claude, Cursor, or your favorite AI tool.

1. Project Setup

Create a Next.js app for an API Documentation Generator. Features: - GitHub OAuth to connect repositories - Dashboard showing connected repos and their docs status - Settings to configure which folders contain API code - Preview mode to see generated docs before publishing - Custom domain support for hosted docs Use Supabase for auth and database. Store: user, repos, generated_docs, custom_domains.

2. Core Feature

Create the documentation generator: 1. Fetch API route files from GitHub (look for /api/, /routes/, common patterns) 2. For each file, send to Claude with prompt: "Analyze this API code and extract: HTTP method, endpoint path, query parameters, request body schema, response schema, description" 3. Generate OpenAPI spec from extracted data 4. Convert OpenAPI to interactive documentation using Redoc or custom renderer 5. Create example requests with realistic mock data 6. Generate code snippets for curl, JavaScript, Python Run this on GitHub webhook for push events to keep docs updated.

3. Docs Site

Create the hosted documentation site: - Clean, modern design similar to Stripe or Vercel docs - Left sidebar with endpoint navigation grouped by resource - Main content area with: endpoint description, parameters table, request/response examples - Right sidebar with code snippets (toggleable languages) - Built-in search across all endpoints - Dark/light mode toggle - "Try it" button to make live requests (if user adds API key) Deploy each user's docs to a subdomain: {project}.docs.yourdomain.com

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