Cursor编程初体验,搭载GPT-4大模型,你的AI助手,自然语言编程来了

背景

这两天体验了下最新生产力工具Cursor,基于最新的 GPT-4 大模型,目前免费国内可访问不限次数跨平台,你确定不来体验一把?官方的 Slogan

Build Software. Fast. Write, edit, and chat about your code with GPT-4
In partnership with OpenAI

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  • 在进行初步体验时,以下几点需要了解:
  1. Cursor编程的上下文是你所在的代码文件,即如果你的文件后缀名为.py,那么在具体沟通时,就无需再出现“使用Python实现……”这种多余的前提,可以用更具体的限制;
  2. 代码生成之后还会提示合并还是丢弃:Accept或者Reject
  3. 支持回滚:如果想撤销某次的PromptCtrl+Z, Reject
  4. 偶尔会出现生产的代码不完整的问题,只需问一句:没写完吧?
  5. Ctrl+K,生成代码或者对选定的代码段进行优化;
  6. Ctrl+L,对聊模式,对编程问题或者选定的代码段直接提问;
  • 支持的语言

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  • 聊天模式

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  • 提示合并还是丢弃

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以下通过12个简单的问题,从语言支持语法支持业务场景代码解释代码优化等方面来体验一把这个编程生产力利器。

理论上,对于复杂的任务,只要分解到GPT能够理解的那一步,都可以胜任。程序员的AI助手(它竟然可以帮我们找Bug~~),自然语言编程真的来了。至于下面生成的代码能不能用,还需要进行实际验证,但目测从语言支持、语义理解以及逻辑推理等方面来看,可用率至少80%吧。

语言支持

编程语言支持: TypeScript , HTML , CSS , Python , C , Rust , Go , CSharp , Java , PHP , SQL 等数十种。

Node.js

// Welcome to Cursor

// 1. Try generating with command K on a new line. Ask for a new react component of an error popup.
// 2. Then, select the outputted code and hit chat. Ask if there's a bug. Ask how to improve.
// 3. Try selecting some code and hitting edit. Ask the bot to add a button that updates a statefield.
// 4. To try out cursor on your own projects, go to file menu (top left) and open a folder.
const bcrypt = require('bcryptjs');

const password = 'myPassword123';
const salt = bcrypt.genSaltSync(10);
const hash = bcrypt.hashSync(password, salt);

console.log(hash);

const isMatch = bcrypt.compareSync('myPassword123', hash);
console.log(isMatch); // true

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Python

# Welcome to Cursor

# 1. Try generating with command K on a new line. Ask for a pytorch script of a feedforward neural network
# 2. Then, select the outputted code and hit chat. Ask if there's a bug. Ask how to improve.
# 3. Try selecting some code and hitting edit. Ask the bot to add residual layers.
# 4. To try out cursor on your own projects, go to the file menu (top left) and open a folder.
# K-Means Clustering Algorithm

import numpy as np
import matplotlib.pyplot as plt

class KMeans:
    def __init__(self, k=2, max_iter=100):
        self.k = k
        self.max_iter = max_iter
        
    def fit(self, X):
        self.centroids = {}
        
        # Initialize centroids randomly
        for i in range(self.k):
            self.centroids[i] = X[np.random.choice(len(X))]
        
        # Iterate until convergence or max iterations reached
        for i in range(self.max_iter):
            self.clusters = {}
            for j in range(self.k):
                self.clusters[j] = []
            
            # Assign each data point to the closest centroid
            for x in X:
                distances = [np.linalg.norm(x - self.centroids[c]) for c in self.centroids]
                closest_centroid = distances.index(min(distances))
                self.clusters[closest_centroid].append(x)
            
            # Update centroids to be the mean of their assigned data points
            for c in self.clusters:
                self.centroids[c] = np.mean(self.clusters[c], axis=0)
    
    def predict(self, X):
        predictions = []
        for x in X:
            distances = [np.linalg.norm(x - self.centroids[c]) for c in self.centroids]
            closest_centroid = distances.index(min(distances))
            predictions.append(closest_centroid)
        return predictions

# Example usage
X = np.array([[1, 2], [1.5, 1.8], [5, 8], [8, 8], [1, 0.6], [9, 11]])
kmeans = KMeans(k=2)
kmeans.fit(X)
predictions = kmeans.predict(X)
colors = ['r', 'g', 'b', 'c', 'm', 'y']
for i in range(len(X)):
    plt.scatter(X[i][0], X[i][1], color=colors[predictions[i]])
plt.show()

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Java

public static String friendlyTime(long timestamp) {
    long current = System.currentTimeMillis();
    long diff = current - timestamp;
    if (diff < 10 * 60 * 1000) {
        return "刚刚";
    } else if (diff < 24 * 60 * 60 * 1000) {
        return "今天";
    } else if (diff < 2 * 24 * 60 * 60 * 1000) {
        return "昨天";
    } else if (diff < 3 * 24 * 60 * 60 * 1000) {
        return "前天";
    } else {
        return "更早之前";
    }
}

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Java

public class Array {
    public static void main(String[] args) {
        int[] arr = {1, 7, 8, 4, 3, 6, 2, 5, 9};
        Arrays.sort(arr); // sort the array in ascending order
        for (int i = 0; i < arr.length; i++) {
            System.out.print(arr[i] + " ");
        }
        System.out.println();
        for (int i = arr.length - 1; i >= 0; i--) {
            System.out.print(arr[i] + " ");
        }
    }
}

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Java

public static void main(String[] args) {
    String[] arr1 = {"q", "w", "e", "r", "t"};
    String[] arr2 = {"a", "w", "d", "s", "r", "g"};

    Set<String> set1 = new HashSet<>(Arrays.asList(arr1));
    Set<String> set2 = new HashSet<>(Arrays.asList(arr2));

    // Intersection
    Set<String> intersection = new HashSet<>(set1);
    intersection.retainAll(set2);
    System.out.println("Intersection: " + intersection);

    // Union
    Set<String> union = new HashSet<>(set1);
    union.addAll(set2);
    System.out.println("Union: " + union);
}

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SQL

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USE poetry;
SELECT poems.title, poems.content, poems_author.name 
FROM poems 
JOIN poems_author 
ON poems.author_id = poems_author.id 
LIMIT 10;

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语法支持

public class Min {
  public static void main(String[] args) {
    int[] arr = {8, 1, 4, 0, -3};
    int min = Arrays.stream(arr).min().getAsInt();
    System.out.println("The minimum value in the array is: " + min);
  }
}

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业务场景

import torch
from PIL import Image
import requests
from io import BytesIO

# Load model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True)

# Define class names
class_names = ['smoke', 'fire']

# Define function to predict image
def predict_image(image_url):
    # Load image from URL
    response = requests.get(image_url)
    img = Image.open(BytesIO(response.content))
    
    # Predict image
    results = model(img)
    
    # Get class predictions
    class_predictions = results.pred[0].softmax(-1)
    
    # Get class indices
    class_indices = class_predictions.argmax(-1).tolist()
    
    # Get class names
    class_names_predicted = [class_names[i] for i in class_indices]
    
    return class_names_predicted

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import java.sql.*;

public class Database {
    public static void main(String[] args) {
        try {
            // Connect to local database
            String url = "jdbc:mysql://localhost:3306/poetry";
            String user = "root";
            String password = "root";
            Connection connection = DriverManager.getConnection(url, user, password);

            // Read first 5 rows from poems table
            Statement statement = connection.createStatement();
            ResultSet resultSet = statement.executeQuery("SELECT * FROM poems LIMIT 5");

            // Print results
            while (resultSet.next()) {
                System.out.println(resultSet.getString("title") + " by " + resultSet.getString("author") + " " + resultSet.getString("content") + " " + resultSet.getString("style") + " " + resultSet.getString("dynasty") + " " + resultSet.getString("notes"));
            }
			// Export results to Excel
			ResultSetToExcelConverter converter = new ResultSetToExcelConverter(resultSet);
			converter.export("poems.xlsx");

			DingTalkClient client = new DefaultDingTalkClient("https://oapi.dingtalk.com/robot/send?access_token=ACCESS_TOKEN");
            OapiRobotSendRequest request = new OapiRobotSendRequest();
            request.setMsgtype("text");
            OapiRobotSendRequest.Text text = new OapiRobotSendRequest.Text();
            text.setContent("Results from database query: " + resultSet.toString());
            request.setText(text);
            client.execute(request);

            // Close connection
            resultSet.close();
            statement.close();
            connection.close();
        } catch (SQLException e) {
            System.out.println("Error connecting to database: " + e.getMessage());
        }
    }
}

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import org.eclipse.milo.opcua.sdk.client.OpcUaClient;
import org.eclipse.milo.opcua.stack.core.types.builtin.NodeId;
import org.eclipse.milo.opcua.stack.core.types.builtin.QualifiedName;
import org.eclipse.milo.opcua.stack.core.types.builtin.Variant;
import org.eclipse.milo.opcua.stack.core.types.structured.ReadValueId;
import org.eclipse.milo.opcua.stack.core.types.structured.ReadValueId;
import org.eclipse.milo.opcua.stack.core.types.structured.ReadResponse;
import org.eclipse.milo.opcua.stack.core.types.structured.WriteValue;
import org.eclipse.milo.opcua.stack.core.types.structured.WriteResponse;

import java.util.concurrent.CompletableFuture;

public class OPCClient {

    public static void main(String[] args) throws Exception {
        // Create a new OPC UA client
        OpcUaClient client = OpcUaClient.create("opc.tcp://localhost:12686/example");

        // Connect to the server
        client.connect().get();

        // Read a value from the server
        NodeId nodeId = new NodeId(2, "/HelloWorld/ScalarTypes/Int32");
        ReadValueId readValueId = new ReadValueId(nodeId, QualifiedName.DEFAULT, null, null);
        CompletableFuture<ReadResponse> readResponse = client.read(readValueId);
        Variant value = readResponse.get().getResults()[0].getValue().getValue();

        System.out.println("Value: " + value);

        // Write a value to the server
        WriteValue writeValue = new WriteValue(nodeId, QualifiedName.DEFAULT, new Variant(42));
        CompletableFuture<WriteResponse> writeResponse = client.write(writeValue);
        Boolean success = writeResponse.get().getResults()[0].isGood();

        System.out.println("Write success: " + success);

        // Disconnect from the server
        client.disconnect().get();
    }
}

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代码解释

public static int test(int n) {
		int cnt = 0;
		while(0 != n) {
			n = n & (n - 1);
			++cnt;
		}
		return cnt;
	}
	public static void main(String[] args) {
		System.out.println(test(15));
	}
}

先将上述代码写入一个.java文件,然后 Ctrl+K 输入以下问题。

// 这段代码是一个Java程序,其中定义了一个名为test的静态方法,该方法接受一个整数参数n并返回一个整数。该方法使用while循环计算n的二进制表示中1的个数,并将其存储在cnt变量中。最后,该方法返回cnt的值。在main方法中,该程序调用test方法并将15作为参数传递给它,然后将结果打印到控制台。

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代码优化

public class Improve {
	public static int test(int n) {
		int cnt = 0;
		while(0 != n) {
			if((n & 1) != 0) {
				++cnt;
				n >>= 1;				
			} else {
				n >>= 1;				
			}			
		}
		return cnt;	}

	public static void main(String[] args) {
		System.out.println(test(15));
	}
}

先将上述代码写入一个.java文件,然后选择需要优化的代码段或者全选, Ctrl+K 输入以下问题。

public class Improve {
    public static int test(int n) {
        int cnt = 0;
        cnt = Integer.bitCount(n);
        return cnt;
    }

    public static void main(String[] args) {
        System.out.println(test(15));
    }
}

从结果看, Cursor 将我们自己编写的通过位运算右移计算二进制表示中1的个数,改成了一个内置方法调用。

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小总结

其实,除了上述的入门体验,还有其他很多事情可以做,eg: 编写测试用例,解决力扣编程问题,网络爬虫,制作网页,小游戏编程,you name it,这一切仅受限于我们的想象力。

以下引用池建强的一句话:

人们需要警惕的是,当年因为汽车的诞生而失业的马车夫,他们并不是转行去干司机了,而是真失业了,或者去干别的苦力活。
当上时代司机的,是另一群人。

If you have any questions or any bugs are found, please feel free to contact me.

Your comments and suggestions are welcome!

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