Cursor AI: The AI Code Editor Explained

Most AI coding tools are add-ons: a chat panel or autocomplete grafted onto an editor that was designed before AI existed. Cursor took a different bet — rebuild the editor itself around AI. The result is a coding experience where you increasingly describe the change you want and review the diff, rather than typing every character. For a lot of developers, that shift is the moment AI coding stops being a novelty and starts being how they actually work.

What makes Cursor different

Cursor is built on VS Code, so it looks and feels familiar — your extensions, keybindings, and themes mostly carry over. What’s new is that AI is woven through the whole experience. Its headline feature is editing across multiple files from a single instruction: ask for a change, and it proposes edits throughout your project, which you approve as diffs. It also understands your codebase as context, so its suggestions fit your existing patterns.

Who should use it

• Working developers who want AI deeply integrated rather than sitting in a side panel.
• Anyone doing refactors or changes that span many files.
• VS Code users who want to keep their setup while gaining AI-native editing.

Expert tips

• Describe intent, then review diffs. Let it draft the change across files, but read every diff before accepting.
• Give it context. Point it at the relevant files so its edits match your architecture.
• Use it to learn a codebase. Ask it to explain how a feature works before you change it.
• Keep commits small. Reviewing AI edits in focused chunks catches mistakes early.

Common mistakes to avoid

• Accepting multi-file edits blindly. A broad change can introduce subtle bugs — review, don’t rubber-stamp.
• Expecting it to design your architecture. It executes well; the big decisions are still yours.
• Ignoring tests. AI-assisted edits still need your test suite to catch regressions.

Cursor vs Copilot: which should you actually use?

Most developers weighing Cursor are really asking how it compares to GitHub Copilot, since that’s the tool they already know. The two solve overlapping problems in genuinely different ways, and the right choice comes down to how you like to work.

Copilot is an assistant that lives inside your existing editor as brilliant autocomplete — it suggests the next line or function as you type, with almost no change to your setup. It’s the low-friction choice: install it, keep everything else the same, and start moving faster on routine code. Cursor rebuilds the editor itself around AI, and its signature ability is editing across multiple files from a single instruction — you describe a change and review the diffs it proposes throughout your project. That’s a different mental model: less “complete my line,” more “make this change for me.”

In practice, developers who mostly want smart completion in a familiar environment tend to stay with Copilot, while those doing a lot of refactoring or multi-file work often prefer Cursor once they adjust to editing by intent. Because Cursor is built on VS Code, trying it costs little — your extensions and shortcuts largely carry over. The honest recommendation: if Copilot already feels like enough, you don’t need to switch; if you frequently wish your assistant could change several files at once from one description, Cursor is worth a serious trial.

Frequently asked questions

Is Cursor better than GitHub Copilot?

They’re different. Copilot is excellent autocomplete inside your existing editor; Cursor is a full AI-native editor that excels at multi-file changes. Developers who edit across many files often prefer Cursor.

Do I have to learn a new editor?

Barely. Cursor is built on VS Code, so most of your settings, extensions, and shortcuts carry over and it feels familiar from day one.

Final verdict

Cursor represents a genuine shift in how coding feels — from typing every line to describing changes and reviewing them. It’s not for everyone: if you just want smart autocomplete, Copilot is simpler. But if you’re ready to work at the level of intent, especially across a real codebase, Cursor is one of the most compelling tools available. Try it on a project you know well, and you’ll quickly feel whether editing by intent suits you.

Sources: hands-on use of Cursor on real codebases, checked against its official documentation at the time of writing.