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From what I see, it's not better than GitHub Copilot for my use case. I work in large code bases, where the code in one files depends on the code in other files. Copilot seems to only be aware of code in current file, unless I write very long prompts to direct it to specifically look in some other files.

So for making changes to existing code, Copilot isn't helpful and neither seems to Cursor.

I can use Copilot to write some new methods to parse strings or split strings or convert to/from JSON or make http calls. Bat anything that implies using or changing existing code doesn't yield good results.




If you are using vscode in the copilot chat you can use @workspace and it tries to get the relevant files and context.


Are you using the @codebase feature? It will perform a search across the codebase for files relevant to your query and suggest changes across files.

https://docs.cursor.com/chat/codebase


Ai assistant tuned for your sepecific large code base seems like the best final destination. I am not sure if this is on the horizion, miles away or just something that is of such little marginal benefit that it would only be useful internally for a handful of orgs.

Certainly for writting my emails for me I would quite like an Ai fine-tuned to my written voice.


Have you actually used Cursor? It does not seem like it. I'd suggest trying it before dismissing it.

> Copilot seems to only be aware of code in current file

Cursor does not have this limitation


From my experience using both:

* Cursor is massively faster than Copilot

* Cursor is absolutely aware of the codebase when you add it to the workspace (ctrl/cmd+b)




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