Cursor: The AI-First Code Editor That Rewrites How You Program

Photo by Luca Bravo on Unsplash

There’s GitHub Copilot — a plugin that adds autocomplete to your existing editor. And then there’s Cursor — an entire code editor rebuilt from the ground up around AI, where the AI isn’t a plugin but the foundation. If you’re a developer spending more than a few hours a day writing code, Cursor may be the most impactful tool you adopt this year.

What is Cursor?

Cursor is an AI-first code editor built as a fork of VS Code. This means:

• All your VS Code extensions work natively
• Familiar keyboard shortcuts and interface
• Deep AI integration that goes far beyond autocomplete
• Codebase-wide context for every AI interaction

Where Copilot adds AI to VS Code, Cursor is VS Code with AI baked into every layer. The result is a fundamentally different coding experience.

Core Features

1. Tab — Predictive Multi-Line Completion

Cursor Tab is the editor’s signature feature — an autocomplete system that goes far beyond single-line suggestions:

• Multi-line predictions: Predicts entire blocks, not just the next token
• Diff-aware suggestions: Knows what you just changed and suggests logical next edits
• Cursor prediction: Anticipates where your cursor will move next and fills in that edit preemptively
• Smart context: Considers your recent edits, open files, and project structure

Press Tab to accept a prediction. The experience feels like the editor has learned your intent, not just your syntax.

2. Chat — AI That Knows Your Entire Codebase

Cursor Chat (Cmd+L / Ctrl+L) opens an AI chat panel that has access to your entire codebase:

You: What does the AuthService do and where is it used?

Cursor: AuthService (src/services/auth.service.ts) handles JWT token 
generation, validation, and refresh. It's injected into:
- UsersController (3 endpoints)  
- MiddlewareAuth (for protected routes)
- WebSocketGateway (for socket authentication)
The main flow is: login → generateToken → storeRefreshToken...

This isn’t a generic answer. Cursor has indexed your actual codebase and answers from that context.

Key Chat capabilities:

• @file: Reference specific files in your question (@src/users/users.service.ts)
• @code: Reference specific functions or classes
• @docs: Pull in documentation from libraries you use
• @web: Search the web for additional context
• @codebase: Ask anything about your entire project

3. Composer — Multi-File Code Generation

Composer (Cmd+I / Ctrl+I) is the most powerful feature: AI that makes coordinated edits across multiple files simultaneously:

Example workflow:

You: "Add a user preferences system. Users should be able to set 
theme (light/dark) and notification settings. Include database 
migration, service layer, controller endpoints, and frontend form."

Cursor: I'll create the following changes:
→ migrations/add-user-preferences.sql (new)
→ models/UserPreferences.ts (new)  
→ services/preferences.service.ts (new)
→ controllers/preferences.controller.ts (new)
→ frontend/components/PreferencesForm.tsx (new)
→ App.tsx (modified - add preferences route)
[Preview all changes]

Composer shows you diffs across all affected files before applying anything. You review, then accept or reject individual changes.

4. Inline Edit (Cmd+K)

Select code, press Cmd+K, describe the change in natural language:

• “Refactor this to use async/await instead of callbacks”
• “Add error handling and logging to this function”
• “Convert this class component to a functional component with hooks”
• “Optimize this SQL query — it’s causing N+1 problems”

The AI makes the edit in-place, and you see the diff with inline accept/reject controls.

Photo by Caspar Camille Rubin on Unsplash

Getting Started

Installation

1. Download from cursor.sh
2. On first launch, import your VS Code settings (extensions, keybindings, themes) with one click
3. Choose your AI model (Claude 3.5 Sonnet is the recommended default)
4. Start coding

The import step is key — you get all your VS Code configurations instantly, so there’s virtually zero setup friction.

Indexing Your Codebase

For Chat and Composer to work with your codebase:

1. Open your project folder
2. Cursor automatically indexes it in the background
3. A spinner in the status bar shows indexing progress
4. Once done, the AI has full context of your project

Large codebases (100k+ files) index in a few minutes. The index stays up to date as you edit.

Choosing Your Model

Cursor supports multiple AI models:

Switch models per-chat using the dropdown in the chat panel.

Cursor vs. GitHub Copilot

The comparison everyone asks about:

Copilot wins if: You prefer staying in your existing VS Code setup, or you use non-VS-Code editors (JetBrains, Neovim)

Cursor wins if: You want the deepest AI integration, codebase-wide context, and multi-file generation

Pricing

The Pro plan is the practical entry point for daily use. 500 fast requests is generous for most workflows — power users who rely heavily on Composer may hit limits.

Privacy and Security

A common concern for professional developers:

Privacy Mode (enabled in Settings):

• Your code is never used to train AI models
• Requests are not stored
• Compliant with most corporate security policies

By default (without Privacy Mode):

• Code may be used to improve Cursor’s models
• Review your company’s policies before using on sensitive codebases

For enterprise teams, the Business plan comes with stronger data processing agreements.

Real-World Workflow: A Day with Cursor

Morning: Starting a new feature

You describe the feature in Composer. Cursor scaffolds the files, creates the database schema, writes tests stubs, and sets up the route. You review the diffs and accept what looks right. 30 minutes of setup work reduced to 5.

Mid-morning: Debugging a tricky issue

You paste the error in Chat, type @auth.service.ts, and ask what could cause this. Cursor reads the actual file and gives you a specific explanation referencing your actual code structure.

Afternoon: Code review prep

You select a complex function and use Cmd+K to add comprehensive JSDoc comments. Then use Composer to write unit tests for the entire module. Tests that would take an hour to write manually appear in under a minute.

End of day: Refactoring

You ask Composer to refactor a messy legacy module — split it into smaller services, add TypeScript types where they’re missing, and update all the import paths. It shows you a diff across 12 files. You review, adjust two files manually, then accept the rest.

Tips for Getting the Most Out of Cursor

1. Be specific in prompts: “Add error handling” is weak. “Add try-catch blocks, log errors with winston at the error level, and return a standardized ApiError response” is strong.

2. Use @references aggressively: The more context you give via @file and @code, the better the output.

3. Review Composer diffs carefully: Cursor’s multi-file changes are powerful but can occasionally miss edge cases. Always review before accepting.

4. Keep Chat open alongside your code: Use it as a “rubber duck” that actually knows your codebase.

5. Use .cursorrules: Create a .cursorrules file in your project root to set project-specific AI behavior:

   You are working on a Next.js 14 app with TypeScript strict mode.
   Always use server components unless client interactivity is required.
   Follow the repository's existing patterns for error handling.
   Use Zod for input validation. Write Jest tests for all new utilities.
   

Limitations

• Cost at scale: Heavy Composer usage can exhaust the 500 fast request limit
• Context limits: Even with codebase indexing, very large projects may not fully fit in context
• Accuracy: Like all AI coding tools, Cursor makes mistakes — always review generated code before committing
• Vendor lock: Cursor-specific workflows (.cursorrules, Composer) don’t transfer to other editors

Conclusion

Cursor represents the next evolution of coding environments. It’s not AI as an add-on; it’s an editor designed with AI at its core. For developers who adopt it fully — using Tab, Chat, and Composer in combination — the productivity gains are substantial and real, not just theoretical.

The best way to understand Cursor is to try it. Import your VS Code config, open a project you’re actively working on, and spend a day coding with it. Most developers who do this don’t go back.

Download free at cursor.sh

Using Cursor on your team? What’s the feature your team uses most? Let us know in the comments.