Cursor AI: The AI Code Editor Explained

What is Cursor AI?

Cursor is an AI-powered code editor made by Anysphere. It looks and feels like Visual Studio Code — it started as a fork of it — but rebuilds the editing experience around AI assistance. Instead of bolting a chatbot onto a sidebar, Cursor wires AI into the places you actually work: the file you are typing in, the terminal, and the project as a whole.

That distinction matters. Generic AI chat tools answer questions about code you paste into them. Cursor reads your project, understands how the pieces relate, and makes changes directly in your files with your approval.

The three core features

Tab — predictive autocomplete

Cursor's Tab feature predicts your next edit, not just the next token. It suggests whole diffs: rename a variable and it offers to update every usage; change a function signature and it proposes the matching edits at the call sites. You accept suggestions with the Tab key, which is where the feature gets its name.

Chat — ask your codebase questions

The built-in chat can see your open file, highlighted selection, or the entire indexed project. Typical uses: "where is the auth middleware applied?", "why would this query return duplicates?", or "write a test for this function." Because the chat has real project context, its answers reference your actual files instead of inventing generic examples.

Agent mode — multi-file changes from a prompt

Agent mode takes a task in plain English — "add rate limiting to all public API routes" — then plans the change, edits the relevant files, runs commands where needed, and shows you the diff to review. You stay in control: nothing lands without your approval, and you can stop or redirect it mid-task.

How Cursor differs from a plain editor with a plugin

Editor plugins like GitHub Copilot add AI suggestions to an existing editor. Cursor's bet is that deeper integration wins: codebase indexing, multi-file awareness, and an agent that can execute a plan. In practice the difference shows up on tasks that span more than one file — refactors, feature scaffolding, or tracing a bug across layers.

Because Cursor is VS Code-compatible, switching costs are low: you can import your extensions and settings and try it on a real project rather than a toy example.

Getting started

1. Download Cursor from the official site (macOS, Windows, and Linux are supported) and sign in.
2. Import your VS Code settings and extensions when prompted.
3. Open a project and let Cursor index it — this powers the context-aware features.
4. Start small: use Tab completions for a day, then try Chat on a file you know well, then hand agent mode a scoped task.

Cursor offers a free tier with limited AI usage, and paid plans that unlock more usage of the strongest models. Pricing tiers change over time, so check the official pricing page for current details.

Tips for getting good results

• Scope your prompts. "Fix the bug" invites guesswork; "the date filter returns yesterday's rows in UTC+ timezones — fix the boundary logic in reports.ts" gets precise edits.
• Review diffs like a code review. AI edits are drafts. The diff view exists so you can reject the parts that are wrong.
• Keep files reasonably small. Indexing works better when responsibilities are separated — which is also just good engineering.
• Use it for tests and documentation. These are high-value, low-risk tasks where AI assistance shines.

Frequently Asked Questions

Is Cursor AI free?

Cursor has a free tier with limited AI usage. Paid plans add more usage and access to stronger models. Exact limits and prices change, so consult the official pricing page.

Is Cursor the same as VS Code?

Cursor began as a fork of Visual Studio Code, so the interface, extensions, and keybindings are compatible — but the AI features (Tab, Chat, agent mode) are Cursor's own.

Does Cursor send my code to the cloud?

AI features work by sending relevant code context to model providers. Cursor offers a privacy mode intended to prevent code from being stored or used for training; teams with strict requirements should review the current privacy documentation.

Can Cursor write an entire feature by itself?

Agent mode can scaffold and implement multi-file changes, but results are best when you give it a clear, scoped task and review the diff. Treat it as a fast junior collaborator, not an autopilot.

Which AI models does Cursor use?

Cursor routes requests to leading frontier models and lets you choose between them for chat and agent tasks. The available model list evolves as providers release new versions.