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Now, I did actually switch the project here.

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I went back to this Node.js Express project I started working on in the previous course

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section, and it's this project where I now want to explore some other chat-related features

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offered by Cursor.

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For example, its Docs feature, which is really neat and convenient.

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Let's say here in this application, in this Node application, I have a public folder that

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contains some content, some images, whatever, that should be served publicly, statically,

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you could say, which means if this web server here, this Node.js Express web server would

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be up and running, requests to any files in the public folder should directly be forwarded

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to these files and these files should be served back to the visitors without any other steps

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involved.

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Now to add this code, we could use a chat instruction, add code to serve files from

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public folder statically, and it would probably work.

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But to be sure, we can bring in some Docs and refer to the Express Docs, which is the

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documentation of the Express.js library I'm using here.

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And Cursor is aware of many Docs.

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If you go to Docs, you'll see there are lots of Docs, well, it's not scrollable, but there

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are lots of Docs here for React, for AWS stuff, for Django if you're doing Python development,

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for all these popular libraries essential, for Node.js itself, everything's here.

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But if something were not here, you could also add a new Doc and just copy in a link

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to some documentation web page and the content of that page would be considered for future

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responses.

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That's an amazing feature.

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Here I'll just use the Express documentation.

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So I'll go to Docs and use the Express documentation.

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And then hit generate to hopefully get some code that does the trick.

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Yeah, so this wasn't too difficult.

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It adds the right code here.

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But this documentations feature where you can add extra resources to your chat prompts

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as context for these prompts, that's a super amazing feature because that also ensures

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that if you're using Cursor with some relatively new or lesser known package, you can bring

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in that extra documentation knowledge and Cursor has a higher chance of generating good

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code.

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Because that's often the problem with AI models.

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They're trained on old data, so if you're working with a new library, with a new package,

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the model might not know it or not know it that well.

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Well, you can bring in the extra documentation to solve that problem.

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So that is an amazing feature offered by Cursor.