If you are using Cursor AI for the first time, this tutorial will introduce in detail the familiarity with the Cursor interface, configuration and key configuration functions to help you get started quickly and optimize your development experience.
After installing Cursor, you need to make some basic environment configuration to ensure that the AI functions work properly.
Cursor is compatible with VS Code plug-ins . If you need language-specific support (such as Python, JavaScript, Go), you can install related plug-ins in Extensions .
Recommended plugins:
Python : Python plug-in (supports Lint, debugging, formatting)
ESLint : JavaScript/TypeScript Code Check
Prettier : Code Format Tool
GitHub Copilot (optional): Auxiliary code completion
✅Open project folder : File -> Open Folder
, select your project directory.
✅Set the default terminal: Ctrl + Shift + P
Enter Select Default Profile
and select Bash
or PowerShell
.
If you have ever used VS Code , it will be very easy to get started with Cursor. It retains VS Code's core functions such as file management, search, and extension support, and enhances AI code assistance capabilities.
Interface introduction:
Left panel : file structure, search, temporary files, similar to VS Code.
Settings tab : Here, you can enable AI automatic completion, code indexing, file exclusion and other functions to customize the Cursor experience according to your personal needs.
✅After automatic completion is enabled, Cursor will provide intelligent completion suggestions when you enter the code, improve programming efficiency and reduce duplicate input.
✅Code Index Cursor will index the project and provide context-related code suggestions and queries. This is very helpful for managing large projects, especially when dealing with complex code bases.
✅File Exclusion You can exclude sensitive files or irrelevant code, let AI ignore these contents, protect privacy and reduce interference.
✅Other Advanced Features Cursor also provides some beta features such as large token window models that support long text processing , suitable for complex projects and large-scale code analysis.