WMR uses advanced language models to parse source code, understanding functions, classes, dependencies, and architectural patterns to extract meaningful insights.
The tool can be integrated into CI/CD pipelines to automatically regenerate documentation whenever code changes are pushed, ensuring docs stay synchronized with the latest codebase.
WMR generates documentation in various formats such as Markdown, HTML, and PDF, allowing seamless integration into existing wikis, static site generators, or developer portals.
A built-in web editor enables users to review, edit, and enhance AI-generated drafts before finalizing, providing a collaborative space for team feedback.
WMR analyzes git commit messages and history to infer feature evolution, bug fixes, and project milestones, enriching documentation with historical context.
Open-source maintainers use WMR to automatically generate and update API documentation and contributor guides for their repositories. This ensures that community contributors and users always have access to accurate, up-to-date information without requiring maintainers to manually write extensive docs. The result is improved project adoption and reduced support burden.
Development teams in enterprises integrate WMR into their CI/CD pipelines to maintain internal documentation for microservices, libraries, and APIs. As code evolves rapidly across multiple teams, WMR keeps architectural diagrams and interface descriptions current, facilitating cross-team collaboration and reducing knowledge silos.
Engineering managers leverage WMR to create comprehensive onboarding documentation that explains codebase structure, key modules, and development conventions. New hires can quickly understand the project landscape, accelerating their time-to-productivity and reducing reliance on senior developers for repetitive explanations.
Teams building public or internal APIs use WMR to generate interactive API references from their code annotations and OpenAPI specifications. This automates the creation of developer portals with endpoint details, request/response examples, and authentication guides, ensuring consistency between implementation and documentation.
Organizations modernizing legacy systems employ WMR to analyze undocumented or poorly commented codebases, producing initial documentation that reveals system functionality and dependencies. This serves as a foundational reference for refactoring efforts, risk assessment, and planning migration strategies.
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