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Claude Code vs Cursor: Which AI Coding Tool Fits Your Team?

Claude Code is Anthropic's AI coding agent that works in the terminal, VS Code, JetBrains, a desktop app and the web, planning and making changes across many files. Cursor is an AI code editor built on VS Code, known for Tab autocomplete and its Agent. Cursor can use Claude models on certain plans, and Claude Code can run inside Cursor.

If you run a business and someone on your team says "we should use Claude Code" while someone else swears by Cursor, it can sound like a choice between two rival products. It isn't quite that. They overlap a lot, they come at coding from different directions, and you can run Claude Code inside Cursor if you want both.

This guide compares them using only what Anthropic and Cursor publish in their own documentation. I've written it for owners and managers who need to understand the difference well enough to make a sensible call, not for engineers choosing a keyboard shortcut.

What is the difference between Claude Code and Cursor?

The simplest way to put it: Claude Code is an AI agent that works in your existing tools, and Cursor is a code editor with AI built into it.

  • Claude Code is Anthropic's agentic coding tool. It reads your codebase, edits files, runs commands and connects to your developer tools. It started in the terminal and now also runs in VS Code and JetBrains, in a desktop app and on the web.
  • Cursor is a desktop code editor built on the VS Code codebase. It describes itself as a coding agent for building software, and it wraps AI features such as an Agent and Tab autocomplete around a full editor.

So the starting question is less "which AI is smarter" and more "do you want an agent that slots into your current setup, or an editor where the AI is part of the furniture?"

Claude Code vs Cursor at a glance

Claude CodeCursor
The basicsAn agentic coding tool from AnthropicAn AI code editor built on VS Code
Where it runsTerminal, VS Code, JetBrains, desktop app, web and the Claude mobile appDesktop app on macOS 12 and later, Windows 10 and later, and Linux, plus a terminal CLI and cloud agents
ModelsAnthropic's Claude modelsCursor's own models, such as Composer, plus models from OpenAI, Anthropic and Google on certain plans
Signature featurePlans and makes changes across many files, then verifies themTab autocomplete as you type, plus an Agent with Plan Mode
Standing instructionsA CLAUDE.md file read at the start of every sessionProject settings and rules inside the editor
Runs on a scheduleYes, with Routines in the cloud or scheduled tasks on your machineCloud Agents can be started from the web, the iOS app, desktop, GitHub or Slack

What does Claude Code do well?

Anthropic's documentation focuses on Claude Code taking a plain-language request and carrying it through. You describe what you want, and Claude Code plans the change, writes code across multiple files and checks it works. A few things stand out for a business:

  • It works directly with git, so it can write commit messages, create branches and open pull requests for a developer to review.
  • It connects to outside tools through MCP, such as Google Drive, Jira or Slack, so it can pull in the context a job needs.
  • A CLAUDE.md file in the project holds standing instructions, which is a tidy way to record how your team likes things done.
  • It can run on a schedule, either in the cloud with Routines even when your computer is off, or as scheduled tasks on your own machine.

Installation is one command in the terminal on Mac, Linux or WSL, with a PowerShell command for Windows. Most ways of using it need a Claude subscription or an Anthropic Console account. If you're new to it, my guide on how to use Claude Code walks through the first session.

What does Cursor do well?

Cursor's strength is that it feels like the editor many developers already know. It's built on the VS Code codebase and can import your VS Code extensions, themes, settings and keybindings in one click, so switching takes minutes rather than days.

  • Tab is Cursor's AI autocomplete. It suggests code as you type, including edits across several lines and files, and you accept with the Tab key.
  • Agent searches the project, reads the relevant files and makes changes you review in a diff view. It can run tests and checks too.
  • Plan Mode drafts a plan for your approval before the Agent changes anything.
  • Auto picks a model for you, balancing intelligence, speed and reliability.
  • Cloud Agents run in isolated cloud machines and can be started from GitHub or Slack as well as the app.

If Cursor isn't quite right for your team, there are other AI code editors worth comparing.

Can Cursor use Claude models?

Yes, with a caveat. Cursor's documentation lists Claude models from Anthropic among those it supports, but third-party models are only unlocked on certain plans. On Cursor's Free and Plus plans you get Cursor's own models, such as Composer. Check the plan page before assuming your team will get Claude inside Cursor.

Can you use Claude Code and Cursor together?

You can. Anthropic publishes an install link for Cursor alongside VS Code, so Claude Code can run inside the Cursor editor. Some teams do exactly that: Cursor for the editing experience and Tab autocomplete, Claude Code for larger, multi-file jobs and anything that needs to open a pull request.

Which should a small business choose?

Here's how I'd frame it for an owner rather than a developer:

  • You have a developer who lives in VS Code: Cursor is the gentler switch, because their setup comes across in one click.
  • You want an agent to take on whole jobs and hand back a pull request: Claude Code fits that pattern well.
  • You're not technical but want small internal tools: Claude Code in the desktop app or on the web is the easier entry point, because you describe the result in plain words.
  • You can't decide: run Claude Code inside Cursor for a month and see which parts your team uses.

Whichever you pick, agree some ground rules first. Decide who reviews AI-written code before it goes live, where secrets and passwords are kept away from the tools, and which projects are off limits.

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Prompts to try in either tool

Copy this prompt

Read this project and explain, in plain English for a non-developer,
what it does, how the main parts fit together and where the riskiest code is.
Don't change any files. Finish with three questions I should ask my developer.

Copy and paste this prompt

Plan a small change: add a contact form field called [field name] that saves to [where it's stored].
Show me the plan and the files you'd touch before making any edits.
After I approve, make the change and run the existing tests.

Tools that work with Claude Code and Cursor

Both sit in the middle of a wider toolkit. GitHub is the usual home for the code and the pull requests either tool creates. Slack and Jira are where tasks come from and updates go. VS Code and JetBrains matter for Claude Code's editor extensions, and Google Drive is a common source of specs through Claude Code's MCP connections.

If you're a founder without a technical background and want help choosing and setting up AI coding tools safely, this is the implementation help I offer, or see how I work with business owners.

Frequently asked questions

Is Claude Code better than Cursor?

Neither is better for everyone. Claude Code is an agent that works in your terminal, editor, desktop or the web; Cursor is a full AI code editor built on VS Code. Many teams use both.

Can I use Claude Code inside Cursor?

Yes. Anthropic publishes an install link for Cursor alongside VS Code, so Claude Code can run inside the Cursor editor.

Does Cursor use Claude?

Cursor supports Claude models from Anthropic, but third-party models are only unlocked on certain plans. Its Free and Plus plans use Cursor's own models, such as Composer.

Is Cursor based on VS Code?

Yes. Cursor is built on the VS Code codebase and can import VS Code extensions, themes, settings and keybindings in one click.

Do I need to be a developer to use Claude Code?

Not always. You describe what you want in plain language, and the desktop app and web version are friendlier starting points, but someone should still review code before it goes live.

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
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