I used GitHub Copilot for about fourteen months. At first it felt like a superpower. By month ten it felt like autocomplete that occasionally guessed wrong in interesting ways. I stuck with it because switching costs are real and the integration was frictionless.
Then I tried Cursor for a week on a real project — migrating a Postgres-backed service from a legacy ORM to Drizzle. That was three months ago. I haven't switched back.
What Actually Changed
The thing Copilot does well is line-level and block-level completion. You type a function signature and it guesses the body. You write a comment and it writes the code. This is useful. I'm not dismissing it.
What Cursor added — and what I didn't expect to matter as much as it does — is project-level context. The diff between "complete this function" and "refactor this service knowing these are the constraints" is not incremental. It's categorical.
Specifically: I ran an architecture-wide rename. Four files, twelve references, two test suites. With Copilot this was a manual find-replace exercise that I'd accept suggestions on. With Cursor's Composer, I described the rename in one sentence. It made the changes, flagged the one case where the rename wasn't semantically clean, and explained why. That took six minutes. The manual version would have taken forty.
Where Copilot Is Still Better
This is an opinion piece, not a benchmark. But I want to be fair.
Copilot's inline suggestions are still faster to accept in flow. The tab-to-complete interaction model is deeply integrated into how I type, and Cursor's equivalent has slightly more latency in my setup — not measured, just felt.
The GitHub integration is also meaningfully better. Copilot's PR summaries and issue suggestions are genuinely useful if you're spending time in the GitHub UI. I don't spend much time in the GitHub UI, so this doesn't move the needle for me.
The Specific Moment I Stopped Switching Back
I had a bug in a webhook handler. The error was being swallowed in a catch block and logged as a warning instead of surfacing. Classic. I'd read this code a dozen times and missed it because the catch block was three files away from where I was looking.
I described the symptom to Cursor. It found the catch block. It found two other places in the same codebase where the same pattern existed. It suggested a structured logging change that would surface these silently in the future. It was right on all counts.
That's not what Copilot does. That's not what any inline autocomplete tool does. That's a different category of assistance.
Cost and Practicalities
Cursor Pro is $20/month as of this writing, same as Copilot Individual. The AI usage is capped; if you're a heavy user you'll hit rate limits. I've hit them twice in three months, both during long Composer sessions. It's annoying but not a dealbreaker.
The setup requires switching editors if you're in VS Code, which Cursor is based on. My extensions transferred cleanly. My keybindings needed a half hour of adjustment. That's a real cost and I'm not pretending otherwise.
Where I Land
Copilot is a good autocomplete tool. Cursor is something closer to a pair programmer that can see your whole codebase. Those are different things, and for my workload — services in TypeScript, infrastructure in Python, migration-heavy work — the second thing is more useful.
Your workload might be different. If you're doing greenfield work with well-scoped functions, Copilot might be exactly right. But if you're operating in existing codebases with accumulated complexity, the context depth matters.
We ran this for three months on real client work. The verdict isn't tentative.