generating-documentation

To generate OpenAPI specifications and TypeScript code documentation, you can automate the extraction process using TypeDoc conventions. This approach renders API specs and produces library docs automatically, creating comprehensive reference materials from your existing code comments.

Automating Architecture Decision Records and system diagrams involves applying MADR templates and generating Mermaid or PlantUML visualizations. This process standardizes architecture documentation and creates clear system visualizations directly from your technical decisions.

Yes, Docusaurus and MkDocs are supported for generating multi-layer developer documentation sites. The automation workflow configures documentation pipelines to produce API docs, code references, and architectural guides directly within these static site generators.

Automated documentation generation works with Python and Go libraries by applying Sphinx conventions and extracting code comments. It supports documenting REST and GraphQL APIs across these languages, producing standardized technical references for external and internal consumption.

Setting up a documentation pipeline for REST and GraphQL APIs requires configuring your OpenAPI specifications and generation workflows. Once configured, running the workflow produces API documentation, code docs, ADRs, and system diagrams automatically across your project.

You need MADR templates for architecture documentation when managing complex architectures requiring decision tracking. Using MADR templates standardizes Architecture Decision Records, ensuring consistent documentation of technical choices and their rationales across your system.