AI-Generated Documentation
README files, API docs, inline comments, and architecture docs.
5 min read
1 quiz questionsGood documentation explains why, not just what. AI can generate comprehensive documentation quickly, but you need to prompt it to include the context that makes docs actually useful.
README Generator
Complete README with all essential sections.
Generate a README.md for this project: Project name: [NAME] What it does: [ONE SENTENCE] Tech stack: [LANGUAGES/FRAMEWORKS] Include these sections: 1. One-paragraph description (what problem it solves, for whom) 2. Quick Start (get running in under 5 commands) 3. Key features (bullet list, 5-8 features) 4. Project structure (tree diagram of important directories) 5. Environment variables (table: name, description, required?, example) 6. API endpoints (if applicable: method, path, description) 7. Contributing (how to set up dev environment, run tests, submit PRs) 8. License Tone: friendly but professional. No fluff.
API Documentation
Complete API endpoint documentation from code.
Document this API endpoint: ``` [PASTE ROUTE HANDLER CODE] ``` Generate documentation including: - Endpoint: METHOD /path - Description: What it does (1-2 sentences) - Authentication: Required? What type? - Request: Headers, body (with TypeScript interface), query params - Response: Success (with example JSON), Error cases (status codes + messages) - Example: curl command - Notes: Rate limits, pagination, edge cases
Prompt Templates
Architecture Doc
Architecture overview for onboarding new developers.
Generate an architecture overview document for [PROJECT]. Describe: the high-level system design, how components communicate, data flow for the main use case, key design decisions and why they were made, and known trade-offs. Use simple diagrams (ASCII or Mermaid syntax). Target audience: new team members.
Test Your Knowledge
Knowledge Check
1 / 1
What makes documentation most useful for developers?
Key Takeaways
- ✓Good docs explain why, not just what
- ✓Include a Quick Start section — developers want to run it first
- ✓API docs need examples (curl commands, response JSON)
- ✓AI documentation is a first draft — add your project-specific context