If you’ve been writing code with a traditional editor and wondering what all the AI fuss is about, Cursor is the tool most likely to change your mind. Built on top of VS Code, Cursor integrates large language models directly into your editing workflow — not as a plugin bolted on after the fact, but as a first-class citizen of the IDE. This guide walks you through setup, the core features worth knowing, and the tips that separate power users from beginners.
What Is Cursor?
Cursor is a fork of Visual Studio Code developed by Anysphere. It ships with its own AI layer that can read your entire codebase, understand context across files, suggest multi-line completions, and hold multi-turn conversations about your code without leaving the editor. Under the hood it can use GPT-4o, Claude 3.7 Sonnet, or Cursor’s own fine-tuned models depending on your plan.
Because it’s based on VS Code, almost every extension you already use works inside Cursor. Your keybindings, themes, and settings transfer over. The migration cost is essentially zero.
Installing Cursor
- Go to cursor.com and download the installer for your OS (Windows, macOS, or Linux).
- Run the installer. On first launch, Cursor prompts you to import your VS Code settings and extensions — click Import from VS Code to carry everything over automatically.
- Sign in or create a free account. The free tier gives you 2,000 completions per month and 50 slow “premium” model requests.
- Choose your default AI model under Cursor Settings → Models. For most developers,
claude-3-7-sonnetorgpt-4ooffers the best balance of speed and quality.
Core Features
Inline Completions (Tab)
Cursor’s autocomplete goes far beyond single-line suggestions. Press Tab and it will complete entire functions, fill in boilerplate, or continue a pattern it infers from the surrounding code. Unlike GitHub Copilot’s ghost text, Cursor shows a diff-style preview so you can see exactly what will be inserted before accepting.
Chat Sidebar (Ctrl+L)
Open the chat panel with Ctrl+L (or Cmd+L on Mac). From here you can ask questions about your codebase, request refactors, or get explanations. The key advantage over external chatbots: Cursor automatically includes relevant file context. You don’t need to copy-paste code — it knows what you’re looking at.
Composer / Multi-File Editing (Ctrl+I)
Composer is Cursor’s most powerful feature. Press Ctrl+I to open a full-screen editing session where you describe a change in plain English and Cursor applies it across multiple files simultaneously. For example:
Add input validation to all API route handlers in /src/routes and write Jest tests for each one.Cursor will plan the changes, show you a diff for every affected file, and let you accept or reject each one individually. This is where the productivity gains become dramatic for larger refactors.
Codebase Indexing
Cursor indexes your entire project into a vector database stored locally. This allows the chat to answer questions like “where is the authentication logic?” or “which functions call this database method?” without you having to navigate manually. Indexing runs in the background and updates as you edit.
Enable it under Cursor Settings → Features → Codebase indexing.
Rules for AI
One of Cursor’s underused features is the .cursorrules file. Drop this in your project root to give the AI standing instructions about your codebase:
You are working in a Next.js 14 App Router project.
- Always use TypeScript with strict mode
- Prefer server components unless client interactivity is required
- Use Tailwind CSS for styling, no CSS modules
- All API calls go through /src/lib/api.tsEvery chat and completion in that project will respect these rules, making responses dramatically more accurate and on-brand for your stack.
Keyboard Shortcuts Worth Memorizing
| Action | Windows/Linux | macOS |
|---|---|---|
| Open chat | Ctrl+L | Cmd+L |
| Open Composer | Ctrl+I | Cmd+I |
| Accept completion | Tab | Tab |
| Reject completion | Esc | Esc |
| Ask about selection | Ctrl+Shift+L | Cmd+Shift+L |
| Toggle sidebar | Ctrl+B | Cmd+B |
Practical Tips for Developers
Be specific in Composer prompts. Vague instructions like “improve this code” produce mediocre results. Specific ones like “extract the database query logic from UserController into a UserRepository class following the repository pattern” work dramatically better.
Use @ mentions to pin context. In the chat, type @filename or @symbol to explicitly pull in a specific file or function. This overrides Cursor’s automatic context selection when you know exactly what needs to be included.
Iterate in chat before using Composer. For complex changes, talk through the approach in the chat sidebar first. Once you’ve agreed on an architecture, paste the plan into Composer for execution. This two-step process avoids large unwanted diffs.
Set up per-workspace model preferences. Some projects benefit from faster, cheaper models for autocomplete and heavier models only for Composer tasks. Configure this under Settings → Models → Per-workspace overrides.
Check the Cursor changelog regularly. The team ships updates aggressively — features like background agents, web search in chat, and auto-debugging were all added within a single quarter. Staying current pays off.
Cursor vs VS Code + Copilot
The question most developers ask is whether Cursor is worth switching from VS Code with GitHub Copilot. The honest answer depends on your workflow.
If you mainly want single-line completions while you type, Copilot is excellent and deeply integrated into the GitHub ecosystem. But if you want multi-file refactors, codebase-aware chat, and the ability to describe features rather than write every line, Cursor’s Composer is genuinely in a different class. Most developers who try Composer for a real project don’t go back.
The free tier is generous enough to evaluate both. The Pro plan at $20/month is comparable to Copilot Individual and adds unlimited fast completions plus 500 premium model requests per month.
Getting the Most Out of Cursor in 2026
The developers making the best use of Cursor treat it as a pair programmer, not an autocomplete engine. They describe intent, review diffs critically, and maintain .cursorrules files that encode their team’s conventions. They use Composer for the 20% of work that is repetitive scaffolding and save their own focus for architecture and logic decisions.
Install it, import your VS Code settings, and spend an afternoon trying Composer on a real refactor. The productivity gap will be obvious within a few hours.