AI editor code completion natural language programming based on VSCode multi-language support code debugging

Review Summary

Advantage

AI code editor based on VSCode
Code completion and suggestions
High accuracy of code suggestions, especially in common languages
Multi-language support

Shortcoming

Expensive
Depends on internet connection
Limited context understanding in complex projects
No free version, only two-week trial
Security concerns for private code base

Response speed

Average response time of 0.8 seconds, excellent among similar tools

Language support

AI code editor based on VSCode, supporting multiple programming languages such as JavaScript, TypeScript, Python, Java, C++, etc.

Integration capabilities

Various plugins for VSCode can be used

Expert conclusion

 Cursor is a powerful AI code editor, especially for those who like to use AI technology for programming. Its code completion and suggestion features enable developers to write code more efficiently, and its price and integration capabilities make it an attractive choice.

In-depth analysis of core functions

Smart code completion

Cursor can provide code suggestions for entire lines or even entire functions based on the context, and supports multiple programming languages.

# Generate sorting function based on user input
def generate_sort_function():
  """
  Dynamically generate sorting function based on user input fields and sorting methods.
  User input example:
  Field name: age
  Sorting method: ascending/descending
  Returns a key function that can be used for list.sort or sorted.
  """
  field = input("Please enter the sorting field name: ").strip()
  order = input("Please enter the sorting method (ascending/descending): ").strip()
  reverse = order == "descending"

def sort_func(data_list):
  """
  Sort data_list, data_list is a dictionary list or object list.
  """
  try:
  data_list.sort(key=lambda x: x[field] if isinstance(x, dict) else getattr(x, field), reverse=reverse)
  except Exception as e:
  print(f"Sort error: {e}")
  return sort_func

# Example usage
if __name__ == "__main__":
  # Assume the following data
  data = [
    {"name": "Alice", "age": 30},
    {"name": "Bob", "age": 25},
    {"name": "Charlie", "age": 35}
  ]
  sort_func = generate_sort_function()
  sort_func(data)
  print(data)

Natural language transcoding

Convert annotation descriptions into executable code to speed up the development process.

// Create a React component to display a card with a title
import React from 'react';

function Card({ title, children }) {
  return (
    <div style={{
        border: '1px solid #ddd',
        borderRadius: '8px',
        padding: '16px',
        boxShadow: '0 2px 8px rgba(0,0,0,0.05)',
        background: '#fff',
        maxWidth: '400px',
        margin: '16px auto'
      }}>
      <h2 style={{ marginTop: 0 }}>{title}</h2>
      <div>
        {children}
      </div>
    </div>
  );
}

export default Card;

Code interpretation function

Cursor can explain what complex code snippets do:


const memoizedFn = useCallback(() => {
    // Complex calculation logic
    }, [dependencies]);

Cursor interpretation：

This code uses React's useCallback hook to create a memoized function, recreating the function only when dependencies change, optimizing performance and avoiding unnecessary re-rendering.

Test case generation

Automatically generate test cases based on function signatures:


function sum(a, b) {
    return a + b;
}

// src/components/fun.test.js 
const { sum } = require('./fun'); 

test('adds 1 + 2 to equal 3', () => { 
  expect(sum(1, 2)).toBe(3); 
}); 

test('adds -1 + 1 to equal 0', () => { 
  expect(sum(-1, 1)).toBe(0); 
}); 

test('adds 0 + 0 to equal 0', () => { 
  expect(sum(0, 0)).toBe(0); 
}); 

test('adds 100 + 200 to equal 300', () => { 
  expect(sum(100, 200)).toBe(300); 
});

Rating calculation

Latitude	Code completion quality	Language/framework support	Debugging capabilities	Document generation	Summary
Features	4.5	4.5	4.5	4.5	4.5

Latitude	Improved coding speed	Error reduction rate	Response speed		Summary
Efficiency improvement	4.8	4.5	4		4.43

Latitude	Data security	Privacy protection	Compliance certification	Custom model	Summary
Security and privacy	4	5	5	5	4.75

Latitude	Learning curve	Interface design	Ease of integration	Customization	Summary
Ease of use	4	4	5	5	4.5

Latitude	Reasonable pricing	Free quota			Summary
Cost-effectiveness	4	3			3.5

Features	Efficiency improvement	Security and privacy	Ease of use	Cost-effectiveness	Summary
4.5*0.35	4.43*0.25	4.75*0.2	4.5*0.15	3.5*0.5	4.4825

User Reviews and Feedback

Front-end developer

"Cursor saves me a lot of time, and I can focus more on solving problems instead of writing code. "

Data scientist

"Cursor's code completion and suggestion functions are very accurate and save me a lot of time. "