I Replaced GitHub Copilot with Cursor – 90-Day Results & Benchmarks
By Alex Chen | EasyOutcomes.ai
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Why I Finally Made the Switch
I used GitHub Copilot for two years. I evangelized it. I wrote internal docs about it. When junior engineers on my team asked what to use, I said Copilot without hesitating.
Then I started noticing something uncomfortable: I was getting slower.
Not dramatically — but the friction was accumulating. Copilot’s completions were good inside a file, but it had no memory of what I built yesterday. Every session started cold. And the privacy terms had quietly gotten murkier — I work on client projects with NDAs, and “your code may be used to improve the model” is not language I can sign off on with a straight face.
A colleague at a former Google team sent me a Cursor trial link in January. I messed around with it for a week and immediately understood what the fuss was about. Then I did what I always do before recommending anything: I actually tested it properly.
Ninety days. Five real projects. Logged data. Here’s what I found.
The Testing Setup
I’m not going to pretend this was a double-blind academic study. It wasn’t. But it was systematic enough to draw real conclusions.
Projects tested across:
Methodology:
The Benchmarks
Completion Acceptance Rate
| Tool | Accepted | Modified | Rejected |
| Copilot | 41% | 28% | 31% |
| Cursor | 58% | 22% | 20% |
Cursor’s acceptance rate was meaningfully higher across all five projects. The gap was widest on the TypeScript SaaS work — Cursor’s understanding of the existing codebase made suggestions feel like they came from someone who’d read the repo.
Time-to-Working-Feature
I tracked 34 comparable tasks (17 per tool, matched by complexity tier).
| Complexity | Copilot Avg | Cursor Avg | Delta |
| Simple (< 1hr) | 34 min | 26 min | -24% |
| Medium (1–4hr) | 2h 41min | 1h 58min | -26% |
| Complex (4hr+) | 7h 12min | 5h 03min | -30% |
The delta grows with complexity. Cursor’s multi-file context awareness compounds on larger tasks.
Multi-File Context Quality
| Capability | Copilot | Cursor |
| Current file context | ✅ Excellent | ✅ Excellent |
| Open tabs context | ✅ Good | ✅ Good |
| Full codebase context | ❌ Limited | ✅ Strong |
| Referenced file context | ❌ No | ✅ Yes (@ mentions) |
| Conversation memory (session) | ❌ No | ✅ Yes |
Practical example: refactoring a Python service, updating all callers of a function with a changed signature. With Copilot: manual grep + open tabs. With Cursor: described the change in chat, asked it to find all callers across the repo, produced a comprehensive diff in one pass. Caught two edge cases it missed — but 90% of the work done in 30 seconds.
Privacy: The Part That Actually Made Me Switch
Copilot’s Individual plan sends your code to GitHub’s servers for processing. Their terms allow using “suggestions and related data” for product improvement. For open source personal projects: fine. For client work with IP considerations: not fine.
Cursor’s Privacy Mode (available on all paid plans):
I enabled Privacy Mode on day one and haven’t thought about it since.
Pricing Comparison (2026)
| Plan | Copilot | Cursor |
| Free tier | Limited (students/OSS) | Yes (2,000 completions/mo) |
| Individual | $10/mo | $20/mo |
| Business | $19/user/mo | $40/user/mo |
| Enterprise | Custom | Custom |
Cursor costs 2x Copilot at the individual tier. Based on my benchmarks, that premium is justified for multi-file, complex work. For pure inline autocomplete on simple projects, Copilot’s $10 plan is harder to argue against.
Pros & Cons
Cursor
Pros:
Cons:
GitHub Copilot
Pros:
Cons:
Who Should Use What
Use Cursor if:
Stick with Copilot if:
The Verdict
Cursor is the better tool. That’s my conclusion after 90 days of real testing.
The 26–30% time savings on complex tasks is real and it compounds. For someone billing hourly, Cursor pays for itself quickly. For someone shipping a product, it means faster iteration cycles.
The caveat: if you’re doing mostly simple work or just getting started, Copilot’s lower price and simpler UX is a legitimate choice. Don’t let anyone tell you $20/mo is obvious money for every developer — it depends entirely on how you work.
But if you’re regularly navigating complex, multi-file codebases and you haven’t tried Cursor yet, you’re leaving meaningful productivity on the table.
Try Cursor free → #
GitHub Copilot → #
Alex Chen is a former Google engineer and AI tool evangelist at EasyOutcomes.ai. He tests coding assistants in real production environments so you don’t have to.
This post contains affiliate links. If you purchase through our links, we may earn a commission at no extra cost to you. This does not affect our editorial independence or the tools we recommend.