If DeepWiki had been available earlier, I could have learned more about technology when I was young.
Explore how AI can accelerate technology learning with DeepWiki, a new tool that allows programming novices to quickly get started with open source frameworks.
Core content:
1. DeepWiki: A new tool for AI-assisted learning of GitHub code repositories
2. Functional introduction: Generate code repository documents with one click, quickly get started with open source frameworks
3. Practical application: Interactive functions such as asking questions directly and selecting content to ask questions, covering more than 30,000 open repositories
Devin, the first AI programmer who published this article, published an AI programmer who worked on his own.
In the past two days, Devin released a new product DeepWiki . Compared with AI programmers, what we real programmers should need more is DeepWiki.
Simply put, it allows AI to help you learn a GitHub code repository more efficiently, such as Spring Framework and Spring Boot.
The usage is very simple, just change the https://github.com Replace with https://deepwiki.com That's fine.
For example, the repository address of Spring Framework is https://github.com/spring-projects/spring-framework . If you change it to https://deepwiki.com/spring-projects/spring-framework , an online document like the one shown below will appear.
This document structure is like the Docs of many open source frameworks, but the difference is that DeepWiki is generated by AI, while other Docs are written by people.
When we first come into contact with an open source framework, we are often confused. We read official documents, search document blogs, and look for learning videos everywhere, but all these are relatively slow.
The fastest way is to find a master craftsman and ask him in person, and use his experience to quickly guide you into the field.
DeepWiki is this old master. He will write the summary and key technical points of a warehouse into a document, and then display it in the directory on the left. Just read the article he wrote and you will basically get started.
And a good thing is that DeepWiki likes drawing pictures very much, and flow charts, component diagrams, etc. can help us understand better, which is why articles with pictures and text are more popular.
In addition to generating learning documents, you can also ask questions directly on the page. For example, if you have any questions, you can ask directly.
You can also directly select the content you don't understand on the page, and then directly quote the text to ask questions.
Currently, Devin has indexed more than 30,000 open repositories, which means that most of the repositories you will use can be studied here, which is very friendly to novices.
If I had this thing earlier, I could have learned a few more skills.
