GitHub Copilot vs Cursor

GitHub Copilot

Copilot installs as an extension into your existing VS Code or JetBrains setup; none of your keyboard shortcuts, theme, or other extensions change, you just start getting line-by-line or function-level suggestions.

Cursor

In Cursor, when you say 'add this feature,' it can find and edit the relevant 5-6 files itself, because it holds the whole project structure in context; for large, multi-file changes it's more comprehensive than Copilot's line-by-line suggestions.

Which one should you choose?

If you want to add AI assistance to your existing editor (VS Code, JetBrains) without switching, Copilot works with less friction. Cursor offers an editor experience that understands your whole project context and can make multi-file changes in one go, but it requires switching editors.

What are GitHub Copilot and Cursor?

GitHub Copilot is GitHub's AI coding assistant. It installs as an extension in editors such as VS Code, JetBrains IDEs, Visual Studio and Neovim. It suggests line and function completions as you type, and a chat panel lets you ask it to explain or fix code. It runs on your GitHub account, so it ties in closely with repositories and pull requests.

Cursor is a separate code editor built for AI from the ground up. It is based on VS Code's open source core, so it feels familiar to VS Code users, and you can import your settings and extensions. It is known for indexing the whole project as context and proposing changes across several files at once.

Key differences

Setup: Copilot plugs into the editor you already have, so your habits stay intact. Moving to Cursor means switching editors.
Editor choice: if you use JetBrains, Visual Studio or Neovim, Copilot works there directly. Cursor offers a VS Code-based experience.
Project-wide edits: in Cursor, turning a request into a multi-file change you review and accept is central to the product. Copilot is moving in that direction too, but it started from inline suggestions.
Enterprise fit: Copilot comes with GitHub's organization management and policy controls, so approval is often easier at companies already on GitHub.

Which one fits whom?

If you are used to IntelliJ or PyCharm, your company runs GitHub Enterprise, or you mainly want smart completions, Copilot is the right pick. Setup takes minutes.

If you already use VS Code and want to hand the AI bigger tasks, such as adding a new API endpoint to a module and writing its tests, Cursor is worth trying. The gap shows most in large refactors.

Before you switch

When moving to Cursor, import your VS Code settings, then check that each extension you rely on actually works.
Get your security team's sign-off before sending company code to any AI tool, and know where private code and secrets end up.
Before accepting multi-file changes, read the diff line by line and run the tests.
Both products update quickly. Check the current feature list on their official sites before deciding.

Bottom line

Choose GitHub Copilot if you do not want to change editors or you work in JetBrains. Choose Cursor if you are a VS Code user who wants to give the AI project-wide tasks. Trying one real task in each for a day will quickly show which suits the way you work.