Cursor - AI Code Editor

Cursor is a modern, AI-native code editor with built-in GPT-4, Claude, and reasoning models. It provides intelligent code completion, chat-driven development, multi-file edits, and project-aware refactoring.

🔗 Official Website →

locale: “en”

What Is Cursor?

Cursor is an AI-native code editor (VS Code compatible) that understands your project, completes code with context, chats inline, and can edit multiple files coherently. It’s more than autocomplete—it’s an AI pair programmer integrated into your editor.

Key Highlights

• Chat-driven coding inside the editor
• Project-aware intelligent completion (accept with Tab)
• Codebase understanding (indexes your repo)
• Full VS Code extension and keybinding compatibility

Plans

• Free: core features for learning and light usage
• Pro ($20/month): unlimited completion, faster models, multi-file edits
• Business ($40/user/month): admin controls, enforced privacy mode, SSO, audit logs, priority support

Core Features

1) Cursor Tab (Intelligent Completion)

# You type:
def calculate_fibonacci(

# Cursor completes:
def calculate_fibonacci(n: int) -> int:
   """Compute the nth Fibonacci number."""
   if n <= 1:
      return n
   return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)

Highlights:

• Understands file and repository context
• Predicts intent and supports multi-line completions
• Competitive accuracy and speed

2) Cmd/Ctrl + K (Inline Edit)

Select code → Cmd/Ctrl + K → enter instruction

Examples:
"Add error handling"
"Optimize this function"
"Add type hints"
"Convert to async"
"Add unit tests"

Cursor applies the edit directly to the selection.

3) Cursor Chat (Inline Assistant)

You: How to implement an LRU cache?

Cursor:
Here is an implementation of an LRU (Least Recently Used) cache:

[generated code]

class LRUCache:
   def __init__(self, capacity: int):
      ...
    
   def get(self, key: int) -> int:
      ...
    
   def put(self, key: int, value: int) -> None:
      ...

Would you like an explanation of the approach?

Advanced mentions:

• @codebase: ask about the whole repo
• @file: reference a specific file
• @web: search online resources
• @docs: consult framework/library docs

4) Cmd/Ctrl + L (Long-form Session)

Purpose-built for multi-step tasks and refactors:

You: I want to refactor the auth module to a safer JWT design.

Cursor:
Analyzing current auth module...
3 files need changes:
1. auth/jwt.py
2. middleware/auth.py
3. routes/login.py

Proposed plan:
[detailed steps]

Proceed?

5) Multi-file Editing (Composer)

You: Convert all class components to function components.

Cursor:
Found 15 class components
Modified files:
- components/Header.jsx ✅
- components/Footer.jsx ✅
- components/Sidebar.jsx ✅
...

All edits applied. Update tests as well?

6) Bug Detection and Fixes

Cursor detected:

⚠️ TypeError: Cannot read property 'name' of undefined
   at UserProfile.render (UserProfile.jsx:25)

Suggested fix:
Add null checks or use optional chaining

[Apply fix]

Usage Tips

Prompting Best Practices

Poor instruction:

"Make it better"

Better instruction:

"Add input validation, handle edge cases for empty arrays,
and improve error messages"

Project-wide Guidance

Create a .cursorrules file to set conventions:

# .cursorrules
We use:
- React 18 with TypeScript
- Tailwind CSS for styling
- React Query for data fetching
- Vitest for testing

Conventions:
- Function components and Hooks
- Prefer named exports
- Types for all components
- Use async/await over .then()

Cursor will follow these rules across the repo.

Useful Shortcuts

Common Workflows

1) Rapid Prototyping

You: Create a Todo app with React + TypeScript.

Cursor scaffolds:
- App.tsx (main component)
- TodoList.tsx (list)
- TodoItem.tsx (item)
- types.ts (types)
- hooks/useTodos.ts (hook)
- styles/App.css (styles)

Working prototype in minutes.

2) Refactoring

You: Split this large component into smaller ones.

Cursor:
Suggested split:
1. UserAvatar
2. UserStats
3. UserActions

Created files and updated imports.

3) Debugging

You: This code occasionally crashes in production.

Cursor:
Potential issues:
1. Missing null checks
2. Async race conditions
3. Memory leak risk

Proposed fixes:
[concrete code changes]

4) Test Authoring

You: @file UserService.ts write unit tests.

Cursor generates:
- Happy path tests
- Edge cases
- Error handling
- Mocks and stubs
- 95%+ coverage target

5) Documentation

You: Add JSDoc to all public methods.

Cursor:
Added documentation to 80+ methods with params, returns, and examples.

Comparison with Other AI Coding Tools

Pros and Limitations

Pros

1. Deep integration (full editor, not just a plugin)
2. Strong project understanding and coherent edits
3. Multiple top-tier models (GPT-4, Claude 3.5, reasoning models)
4. Composer for large refactors and consistency

Limitations

1. Requires internet connectivity
2. Some learning curve for prompts and workflows
3. Pro plan recommended for heavy usage
4. Review privacy needs for sensitive codebases

Privacy and Security

Data Handling

• Free/Pro: data may be used to improve models (opt-out available)
• Business: data is not used for training
• Privacy mode: disable uploads for stricter control

Security

• TLS in transit
• No long-term code retention by default
• SOC 2 and GDPR practices

Best Practices

Do not include:

• API keys and secrets
• Customer-sensitive data
• Company confidential information

Practical Examples

Example 1: Build a REST API

You: Create a user management API with Express + TypeScript.

Cursor generates structure:
├── src/
│  ├── routes/users.ts
│  ├── controllers/userController.ts
│  ├── models/User.ts
│  ├── middleware/auth.ts
│  ├── utils/validation.ts
│  └── app.ts
├── tests/
│  └── users.test.ts
└── swagger.yaml

Includes CRUD, auth, validation, errors, tests, and API docs.

Example 2: Migrate to TypeScript

You: Migrate this project from JavaScript to TypeScript.

Cursor:
1. Add tsconfig.json
2. Rename .js to .ts
3. Add types
4. Fix type errors
5. Update package.json

Migrated 50+ files in minutes.

Example 3: Performance Tuning

You: @codebase find bottlenecks and optimize.

Cursor analysis:
1. components/DataTable.jsx - unnecessary re-renders
2. utils/api.js - missing request caching
3. hooks/useData.js - memory leak

Applied optimizations; expect 40-60% improvement.

FAQ

Is Cursor better than GitHub Copilot?

Cursor is broader in scope. Copilot specializes in completion; Cursor adds chat, multi-file edits, and project understanding.

Will my VS Code extensions work?

Yes. Cursor is VS Code-compatible and supports your existing extensions and settings.

Is the Free plan enough?

Great for learning and occasional use. Professionals benefit from Pro.

Is my code used for training?

Free/Pro default to allowed (you can opt out). Business code is not used for training.

What languages are supported?

Most popular languages: Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, C#, and more.

Resources

• Docs: https://docs.cursor.sh
• Video tutorials: search “Cursor AI tutorial” on YouTube
• Community: Official Discord
• Example repos: cursor-examples on GitHub

What’s New

Composer (Multi-file Edits)

• Edit multiple files at once
• Keep style consistent
• Auto-update imports and references

Agent Mode

• Let AI run commands and tests
• Iterate until success on complex tasks

Docs Integration

• Query official docs inline
• Up-to-date framework usage and APIs

Summary

Cursor is a next-generation AI coding environment that understands your project and helps you design, implement, refactor, and fix code faster. For many developers, it boosts productivity 2×.

Pro ($20/mo) offers excellent value for professional work. If you’re still using a traditional editor, try Cursor—it can change how you build software.

Get started: download from cursor.sh and try it free.