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I guess this only works for very small codebase?
by singpolyma3 2y ago
I guess this only works for very small codebase?
- OsrsNeedsf2P 2y agoCorrect, but it's the same as what OP shared. You should use Aider/Cursor for proper indexing/intelligent codebase referencing
- boredemployee 2y agonot sure if it's cursor's fault, but very often it doesn't give me the real or complete code of my codebase when auto editing/auto completing. any tips?
- soco 2y agoI'm still puzzled how come people are convinced by Cursor, while my experience was meh at best. Can it index your stuff? okay it can. Can it refactor a simple function? No it cannot, it can't even rename a damn Java class. How can I trust it to generate then code based on my codebase? So, what is your use case then? Or can anybody point me to some blog/articles/videos showing some real use cases for Cursor? Real as in, something that it provenly can do?
- risyachka 2y agoI think you know the correct answer:)
- soco 2y agoI hoped to be wrong but no comment so far even tried to bring a based argument... eh, maybe I'll try again in a year.
- jcgrillo 2y agoCorrect. It's Web 3.0 2.0. You're supposed to play along to make the stock prices go up and to the right.
- astar1 2y ago>Java found the problem
- kristiandupont 2y ago>Can it refactor a simple function? Certainly, I do that several times a day.
- rob 2y agoListen, I don't want to brag too much, but it even made me a function today.
- starfezzy 2y agoCramming thousands of tokens of potentially irrelevant context through unclear indexing paths isn't "proper". The best results come from feeding precisely targeted context directly into the prompt, where you know exactly what the model sees and how it processes it. The prompt receives the most accurate use of attention—whereas god knows what the pipeline is for cursor or what extra layers and context restrictions they add on top of base Claude. Giving the model a clean project hierarchy accomplishes a lot efficiently in terms of context tokens. The key is ensuring it only sees what's relevant, without diluting its attention. Tools like reopmix and OP's version, feeding targeted context straight into models like Claude or Google's offerings, outperform Copilot and Cursor in my experience, even though they use the same base models. Use the highest-quality attention (the prompt context) directly, rather than layers of uncertainty and "proper indexing".