Cursor

Cursor was built from the ground up as a code editor with AI at its core, rather than bolted on as an extension to an existing editor — and that difference is genuinely noticeable in use. We asked it to refactor a mid-sized React component spread across several files, and it understood the relationships between those files well enough to apply consistent changes across all of them, without needing the project structure explained manually each time. That's precisely what sets it apart from traditional AI coding extensions that treat each file in isolation.

The "Composer" feature (editing multiple files at once from a single request) saved real time on large refactors, and the "Tab" predictive completion is noticeably sharper than standard autocomplete because it anticipates developer intent based on recent edits in the same session, not just the immediate cursor context. Since it's built on a VS Code foundation, switching over from VS Code is smooth and doesn't require learning an entirely new interface.

The clearest downside is cost under heavy use: the limited "fast requests" on the free plan run out quickly during intensive daily work, making an upgrade to the Pro plan almost necessary for professional developers. It also depends entirely on an internet connection — smart features stop working offline entirely, unlike some competitors that offer a local-model fallback. Cursor is the best fit for developers working on medium-to-large projects who genuinely need broad codebase context; for occasional, simple coding tasks, a GitHub Copilot extension inside an existing editor may be sufficient and cheaper to adopt.