DeepDocs' continuous documentation update feature is its most valuable core feature. Whenever a development team commits new code changes to a GitHub repository, DeepDocs automatically triggers its analytics engine to identify exactly what documentation content is affected by those code changes.
The workflow of this feature is divided into three main steps: first, DeepDocs parses the code differences and identifies key change points that may affect the documentation; second, it intelligently matches the corresponding content in the relevant documentation; and finally, it automatically generates a documentation update and commits it to a new GitHub branch.
Typical application scenarios include: updating API documentation due to changes in API interfaces, supplementing usage instructions corresponding to new function points, and adjusting sample code due to changes in function parameters. The whole process does not require manual intervention, and all updates are accompanied by a detailed change report, which is convenient for the development team to review.
This automated approach not only dramatically reduces the amount of work required to manually maintain documents, but more importantly, ensures that documents are always up-to-date and avoids inconsistencies between old and new versions.
This answer comes from the articleDeepDocs: the GitHub AI tool that automatically updates code documentationThe
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