DeepDocs' deep scanning feature is a powerful tool designed for legacy projects or technical debt cleanup. For projects that have not updated their documentation for a long time, manually checking and fixing all the outdated content can often be time-consuming. deepDocs is able to batch identify and fix all the documentation that needs to be updated through a comprehensive analysis performed at the code base level.
The special thing about this feature is that it can be triggered manually by modifying the reinit string in the configuration file. Once activated, DeepDocs performs a full library scan, detecting all inconsistencies between the document and the current code state. This process has several significant advantages over manual processing: first, speed of execution, which allows the analysis of an entire project in a matter of minutes; second, accuracy, where the AI algorithm does not miss any point in the document that needs to be updated; and third, maintainability, where all changes retain the original document structure and formatting.
In practice, Deep Scan is particularly well suited for document overhauls when preparing for a new release, or for document modernization when taking over a legacy project. The detailed change reports it generates allow teams to quickly understand all document updates and complete compliance checks efficiently.
This answer comes from the articleDeepDocs: the GitHub AI tool that automatically updates code documentationThe
