Cursor Review: Worth Switching Editors For?

Most AI coding tools autocomplete. You type, they finish the line, you accept or you do not. Useful, but it does not change the shape of the work.

Cursor is built around a different premise: describe a change, and it edits across however many files that change touches. That is a meaningfully different product, and it is why developers actually switch editors for it.

I used it for a month on a real TypeScript codebase — roughly 40,000 lines, existing conventions, real tests.

The switching cost is close to zero

Cursor is a VS Code fork. On first launch it imports your extensions, settings, keybindings and theme. Within five minutes it looked and behaved exactly like my existing setup.

This matters more than it sounds. Editor switching normally fails because of a thousand small frictions, not because the new editor is worse. Removing that friction is most of why Cursor got adoption where standalone AI IDEs did not.

What multi-file editing actually feels like

The clearest example from my month: I needed to rename a core domain concept across the codebase — a type, its database column, the API contract, and about thirty call sites.

A find-and-replace gets you maybe 60% there and breaks things in ways you find later. Doing it properly is an hour of careful work.

I described the change in a sentence. Cursor produced a diff spanning fourteen files: the type definition, the migration, the API types, the call sites, and the tests. It got twelve of the fourteen right. The two it got wrong were a string literal in a config file it should have left alone, and a test fixture where it changed the assertion instead of the input.

Twelve out of fourteen in about ninety seconds, with two errors I caught in review. That is a real productivity change — but note that it only works because I reviewed the diff properly.

Scoping requests well

The single biggest factor in output quality was how I framed the request.

Works well: "Add a retryCount field to the Job type, default it to 0 in the constructor, and increment it in the failure handler in worker.ts."

Works badly: "Make the job system more resilient."

The second produces a sprawling diff touching things you did not want touched. The model is not bad at the task — the task was never specified.

The mental model that helped: write the request as if you were handing a ticket to someone competent who has never seen the codebase. Name files. Name types. State the acceptance condition.

Where it falls down

Over-eagerness. Ask it to fix one function and it will sometimes reformat the file, "improve" adjacent code, or add error handling you did not want. On a team with a strict diff-hygiene culture this is genuinely irritating.

Confidence on unfamiliar libraries. Where the codebase used a less common internal library, it invented plausible-looking method names. They compiled in the sense that TypeScript accepted the shape, but the methods did not exist at runtime.

Cost stacking. If your company already pays for another AI coding assistant, Cursor is an additional subscription. The value case has to clear that combined bar, not the standalone one.

Large monorepos strain it. On the 40k-line project it was excellent. Colleagues on much larger monorepos report it picking the wrong context more often.

How it scored

How it compares

The short version: Copilot is the cheaper, safer, more enterprise-friendly default. Cursor is the one that changes how you work. If your team is standardised on GitHub tooling and wants low friction, Copilot. If you want the agent workflow, Cursor.

Who should buy it

Buy it if: you work on a codebase you know well, you do a lot of refactoring, and you are disciplined about reviewing diffs.

Skip it if: you are learning to program — the speed actively gets in the way of building understanding — or you work in an environment where the code cannot leave your network without review.