AI API Documentation Writer

Inspiration: API documentation is crucial for developer ecosystems but often neglected by developers who prefer coding to writing. Good documentation dramatically reduces API adoption barriers.

Target Customers: SaaS companies publishing APIs, independent developers, software development teams.

Pain Points:

• Time-consuming and boring: Developers prefer coding over documentation writing
• Incomplete information: Documentation often lacks usage examples and context
• Outdated content: Code updates frequently leave documentation behind

Solution (Micro-SaaS): An AI tool that semi-automatically generates API documentation by parsing code comments and gathering additional context from developers.

MVP Core Features:

• Code input: Paste functions/classes or upload files
• AI comment parsing: Extract JSDoc, DocString, and other comment formats to understand function purpose, parameters, and return values
• Guided information gathering: AI asks developers for missing information like typical use cases
• Documentation generation:
  • Endpoint descriptions: Clear functionality explanations
  • Parameter tables: Type, required status, and descriptions
  • Code examples: Multi-language request examples (cURL, JavaScript, Python)
  • Response examples: Sample responses for different status codes
• Markdown export: Ready for documentation hosting platforms

Development Investment: Medium. Requires code parsing capabilities and structured output generation.

Competitive Advantage: Focus on "explanatory" content generation from code rather than just specification formatting, with emphasis on usability and examples.