doc-writer

Automate technical documentation updates by running Python scripts that analyze source code and render templates. This generates architecture overviews, READMEs, and changelogs, ensuring your knowledge base stays aligned with codebase changes.

Codebase alignment for project knowledge bases ensures your documentation reflects the latest source code changes. It synchronizes a `.knowledge/` directory with current architecture and conventions, making project context accessible and accurate.

Yes, you need Python to generate architecture overviews and changelogs automatically. The documentation generation process relies on Python scripts to analyze source code and render the required template files.

Automated documentation generation works for quick onboarding by providing necessary project context. It creates up-to-date architecture overviews and conventions that new team members need to understand the software project quickly.

The best way to keep a `.knowledge/` directory up-to-date is to run automated documentation generation after completing a feature. This analyzes source code changes and updates the knowledge base synchronization automatically.

Technical documentation drifts from the current codebase when updates are manual and infrequent. Automating documentation generation with source code analysis after feature completion prevents this misalignment and maintains an accurate knowledge base.