Background
Out-of-sync code and documentation is a common problem in software development, which can lead to inefficient team collaboration and difficulty in getting new developers up to speed. As projects evolve and code changes are made, maintaining documentation manually is time-consuming and easy to miss updates.
Core Solutions
DeepDocs solves the document synchronization problem in the following ways:
- automated testing: Integration into GitHub workflows, automatically scanning for changes after each code commit
- Intelligent Matching: AI analyzes the correlation between code changes and existing documentation, pinpointing the parts that need updating
- retained format: Keep the original Markdown formatting and style intact when updating the content of a document.
- Version control friendly: Submit updates by creating a separate branch for easy team review
procedure
- Install DeepDocs GitHub app and configure monitored code repositories
- Create the deepdocs.yml configuration file in the project root directory
- Trigger initial scan for full document synchronization
- Automatically initiate incremental updates on subsequent code commits
caveat
First time users need to make sure that the project already has basic documents, DeepDocs focuses on updating rather than creating new documents. For multi-warehouse projects, you will need to install the application in all relevant warehouses.
This answer comes from the articleDeepDocs: the GitHub AI tool that automatically updates code documentationThe