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Cursor AI, as an AI programming assistant based on VS Code, provides developers with a more convenient coding experience through functions such as automatic completion, code optimization, intelligent rewriting and AI proxy. This guide will deeply analyze the core functions of Cursor AI to help you make full use of AI to help program.
Cursor's AI proxy mode automatically completes complex tasks and maintains visibility and control over developers at all times. You can select the "Proxy" mode in Composer to allow AI to handle tasks such as code optimization, automatic completion, error repair, etc. to improve development efficiency.
Through custom search models, Cursor AI can understand your code base and automatically obtain relevant context information. This means that developers can directly provide accurate code suggestions without manually adding context.
Cursor allows AI to automatically create and execute terminal commands, and by default, it requires developer confirmation to ensure code security and accuracy.
Cursor can automatically detect lint code errors and perform fixes, reducing the workload of manual debugging and making the code more neat and standardized.
Cursor has powerful multi-line code completion capabilities, which not only predicts the developer's next input, but also provides suggestions that conform to the code logic based on the context, reducing the time for repeated inputs.
Complete the modification of multiple code blocks at once, greatly improving development efficiency.
If the code logic is flawed or is not clearly expressed, Cursor AI can automatically optimize the code to make it easier to read and more in line with best practices.
Cursor AI can predict where you will move the cursor next , helping developers browse code more smoothly and improve operational efficiency.
Cursor has built-in intelligent AI chat assistant that can understand the entire code base and answer developers' questions. For example, you can ask:
✅ “Is there any error in this code?”
✅ “How to optimize this function?”
Developers can use Ctrl + Shift + L or "@" to directly add code blocks to the context, and even interact across the entire code base (Ctrl + Enter).
Using @Codebase or Ctrl + Enter , Cursor searches for relevant code in the code base to help you find solutions quickly.
Entering "@" in the chat input box can quickly reference code files or functions, allowing AI to understand the background of the problem more accurately.
Cursor allows users to upload images , such as error logs, architecture diagrams, etc. AI can provide more accurate suggestions based on visual information.
If the question requires the latest information, Cursor can also search for web data , ensuring that AI answers contain the latest technological trends and solutions (using the @Web directive).
Cursor supports mainstream development documents, and uses @LibraryName to directly call related API documents. If you need a custom document, you can add it using @Docs → Add new doc .
After selecting the code, press Ctrl + K to enter AI editing instructions, such as "Optimize this function" or "Convert code to Python".
If the code is not selected, press Ctrl + K directly to quickly generate a brand new code snippet.
Enter Ctrl + K in the terminal and you can describe the commands you need to execute in natural language, such as: "Create a new Git branch and switch to that branch", and Cursor will automatically convert to the correct shell command.
After selecting the code, click " Quick Question " to obtain AI parsing, quickly resolve the questions, and improve debugging efficiency.