DeepWiki has a built-in intelligent conversation system based on Devin AI that revolutionizes the way developers query and understand code. This feature supports developers to ask a variety of questions in natural language about the functionality, structure or dependencies of the code, and the system generates contextually relevant and precise answers based on the content of the code base.
Dialog is implemented in three layers: the first layer deals with simple queries, such as function usage or module functionality; the second layer answers structural questions, including class inheritance or API design ideas; and the third layer deals with complex questions, such as identifying performance bottlenecks or potential bugs, through deep research patterns. users can simply ask questions in the input box at the bottom of the documentation page and get instant, professional-level answers. The user only needs to ask a question in the input box at the bottom of the documentation page to get professional-level answers instantly.
Compared with the traditional way of retrieving code manually, AI dialog improves the code query efficiency by 300%. Practical examples show that in React project maintenance, 90% code understanding questions can be satisfactorily answered by the DeepWiki dialog function. This feature is especially suitable for open source project contributors to quickly locate the parts that need to be modified in an unfamiliar code base.
This answer comes from the articleDeepWiki: Automatically Generate GitHub Repository Documentation and Talk to It with AIThe
