Cursor AI Editor — The AI Code Assistant Built on VS Code

What if your code editor could understand your entire project — not just the file you have open — and help you build features, fix bugs, and refactor code just by describing what you want in plain English? That's the core promise of Cursor AI, and it's one of the most genuinely useful AI tools to land in the developer ecosystem in years.

Cursor is built directly on top of Visual Studio Code, so if you're already a VS Code user, the transition is nearly frictionless. All your extensions, themes, and keybindings carry over. The difference is everything that's been added on top.

What Is Cursor AI?

Cursor is a fork of VS Code developed by Anysphere that integrates large language models (Claude, GPT-4, and others) deeply into the editing experience. Rather than bolting AI on as a sidebar plugin the way GitHub Copilot does, Cursor treats AI as a first-class part of the editor itself.

The result is a coding environment where you can:

• Chat with your entire codebase, not just the current file
• Ask the editor to write, rewrite, or explain code inline
• Apply multi-file edits from a single natural language instruction
• Reference docs, files, and functions directly in the chat window

Key Features Breakdown

Cursor vs GitHub Copilot — What's the Difference?

GitHub Copilot is a plugin. It lives inside VS Code (or JetBrains, Neovim, etc.) and primarily accelerates code completion. It's excellent at what it does, but it operates mostly at the line and function level.

Cursor is an editor. The AI isn't a plugin sitting on top — it's integrated into how you navigate, edit, and think about your project. The key practical differences:

• Codebase awareness: Cursor indexes your entire project and can reason across files. Copilot mostly works with what's in your current open buffers.
• Multi-file edits: Cursor's Composer can touch 10 files in one instruction. Copilot works file-by-file.
• Model choice: Cursor lets you switch between Claude, GPT-4o, and other models depending on the task. Copilot uses GitHub's model stack.
• Chat quality: Because Cursor has full project context, its chat answers tend to be more accurate and actionable than Copilot's.

Getting Started with Cursor

1. Download Cursor from cursor.sh — it installs like any other desktop app on Windows, Mac, or Linux.
2. Import your VS Code settings — on first launch Cursor offers to import your extensions, keybindings, and themes from VS Code automatically.
3. Open your project folder — Cursor will index it in the background. The larger the codebase, the longer this takes on first run.
4. Try Cmd+K on a function — highlight any code block, press Cmd+K (or Ctrl+K on Windows), type "add error handling to this function" and watch it rewrite in place.
5. Open the chat with Cmd+L — ask a question about your project. Start simple: "What does this codebase do?" or "Where are API calls made?"

Is Cursor Worth It in 2025?

When this post was first written in late 2024, Cursor was already impressive. Since then it's only gotten better — with faster models, improved codebase indexing, and the addition of agent-style workflows where Cursor can autonomously make a series of edits to complete a task end-to-end.

For solo developers and small teams especially, the productivity gains are real. Tasks that used to require careful searching through a codebase, writing boilerplate by hand, or context-switching to ChatGPT are now handled inline in seconds. It's worth the 10 minutes to install and try — the free tier is generous enough to get a genuine feel for it.