Cursor: Why This AI Code Editor Made Me Switch From VS Code
I've been using VS Code for years. It's familiar, extensible, and with GitHub Copilot, has decent AI assistance built in. I didn't think I needed another editor.
Then I tried Cursor for a week. Then another week. Two months later, VS Code is no longer my primary editor.
What Makes Cursor Different from VS Code + Copilot
The fundamental difference is that Cursor treats your entire codebase as context, not just the current file.
With GitHub Copilot, the AI sees what's on your screen and makes suggestions based on that. With Cursor, you can reference any file in your project, ask questions that span multiple files, and make changes that affect your entire codebase from a single prompt.
The Ctrl+K shortcut opens an edit mode where you can describe what you want to change in plain English and Cursor makes the edits directly in your code. It's not just suggesting — it's editing. And because it can reference the full codebase, it makes edits that are contextually appropriate for your project's specific patterns and architecture.
The Chat Feature Is Actually Useful
Cursor's built-in chat is significantly more useful than the equivalent in VS Code + Copilot because of the codebase awareness.
You can literally ask "Why does the user auth sometimes fail?" and Cursor will search through your code, identify the relevant files, and give you a specific, grounded answer rather than a generic explanation of how authentication works.
Ask "How does this project handle database errors?" and it will read your actual error handling code and explain your specific implementation.
Real Workflow Improvements
The feature I use most is multi-file edits. In VS Code, making a change that touches multiple files requires editing each file manually, even with AI assistance. In Cursor, you describe the change you want to make and it applies it across every relevant file simultaneously.
The "@codebase" mention in chat searches your entire codebase semantically. Ask "@codebase where do we validate email addresses?" and it finds the relevant code even if the implementation doesn't obviously match the search terms.
Referencing documentation with "@Docs" lets you add documentation for any library to Cursor's context. Ask it to implement a feature using a specific library and it will reference the actual current docs, not training data from months ago.
The Downsides
Cursor is VS Code under the hood, which means most VS Code extensions work, but not all. A few extensions I relied on had minor compatibility issues.
The subscription cost is $20/month for Pro, which is separate from any other AI tool subscriptions you have. If you're already paying for ChatGPT and Copilot, adding Cursor means you're accumulating AI tool costs.
The AI requests have limits — on Pro you get a certain number of "fast" requests per month before it slows down or you pay more. Heavy users hit this ceiling.
Is It Worth Switching?
For developers who work on multi-file, complex codebases: yes, genuinely. The codebase-aware features are not incremental improvements — they represent a qualitatively different way of working with AI assistance.
For developers who mostly write standalone scripts or simple applications: VS Code + Copilot is probably sufficient and cheaper.
For developers working in teams: check how your team handles the sync of Cursor settings, because the configuration and rules system works best when the whole team adopts it.
My two months with Cursor has convinced me that codebase-aware AI is where professional coding tools need to be heading. The question isn't whether this approach is better — it clearly is. The question is whether the current price and feature set work for your specific situation.