Cursor AI

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  DerekZZ 2025-03-30 12:44

  5.0

  Interesting:4,Helpfulness:4,IDE:5,Correctness:4

  Prompt: Implement a Trie tree in java for quick word matching.

  Using cursor to develop production worthy codes in company is fantastic. Converting user prompt to ready to ship code is so easy and I just didn't code VS code for a long time. Ready to switch to new coding IDE. For example, implementing a trie tree structure take time and find production ready code from Google or Bing it's not easy. But cursor actually produces a clean version of trie tree implementation. With only a few naming changing, you got your production worthy code.

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  aigc_coder 2025-03-30 12:23

  0.0

  Interesting:0,4:0,Helpfulness:4,Correctness:1

  Using cursor and Claude Sonnet models helps the front end development of html, css and javascript generation quickly and trustworthy. It can actually produce a working demo with just three files: styles.css, index.html and scripts.js. It's great for small team without front-end engineers to produce great looking demos.

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  codemonkey 2024-10-31 17:12

  4.0

  Interesting:4,Helpfulness:4,Correctness:4

  Prompt: Implement the function of transformer model, users typed some lines such as "def transformer(x):"

  Another more complicated task I tested on Cursor Code Editor is to write a python code to implement the Transformer function as in paper "Attention is all you need". The code I am writing include function name "def transformer(x):" and some of the beginning lines like "q=torch.linear(". And with the suggested code, I wrap up the transformer function in less than one minutes. So it can really help me increase the productivity of writing code. The only drawback is when I want to modify the code and use backspace to delete some lines, it seems like Cursor doesn't know what to do and give no hints for a while. Unless I start writing something else. And the newly suggested code will usually be quite different from the previously suggested ones. ``` ## Machine Learning ### Input import torch def transformer(x): ndim = 16 q=torch.linear(ndim, ndim)(x) k=torch.linear(ndim, ndim)(x) v=torch.linear(ndim, ndim)(x) attn = torch.matmul(q, k.transpose(-2, -1)) attn = attn / math.sqrt(ndim) attn = torch.softmax(attn, dim=-1) ### Cursor Suggested Code: out = torch.matmul(attn, v) out = torch.linear(ndim, ndim)(out) return out ```

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  codemonkey 2024-10-31 17:05

  5.0

  Interesting:5,Helpfulness:5,Succinct:5,Correctness:5

  Prompt: write a python coding function of calculating fabonacci series

  I just downloaded Cursor on Mac and tried some coding task. The first task is to write a fabonacci function in python. And once I typed the name "fabonacci(n)" and end the function name with the colon ":", there is a code hint tab poping-up suggesting the remaining code. The suggested codes are correct and are very succinct. Very Helpful AI coding tools. ``` def fabonacci(n): if n == 0: return 0 elif n == 1: return 1 else: return fabonacci(n-1) + fabonacci(n-2) ```

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