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    • Outdated content: Code updates frequently leave documentation behind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.