Cursor vs GitHub Copilot (2026): a 30-day real-world test
We moved our dev team to Cursor for 30 days. Here are the actual numbers, the genuine frustrations, and the cases where Copilot is still the right answer.
Quick verdict by use case
| Feature | Cursor | GitHub Copilot | Edge |
|---|---|---|---|
| Multi-file editing | Best-in-class Composer | Good but slower | Cursor |
| VS Code integration | Native (it IS VS Code) | Plugin | Cursor |
| Code completion rate | 71% acceptance in tests | 58% acceptance | Cursor |
| JetBrains support | Early-stage plugin | Excellent native | GitHub Copilot |
| IP indemnification | Business plan | Business & Enterprise | GitHub Copilot |
| GitHub PR integration | Via API | Native best-in-class | GitHub Copilot |
| Price (individual) | $20/month | $10/month | GitHub Copilot |
Multi-file editing: why this changes everything
Cursor's Composer mode accepts a plain-English description and makes coordinated edits across your entire codebase simultaneously. In our 30-day test, tasks involving coordinated multi-file changes — renaming a service, refactoring an interface — took 40-60% less time in Cursor than Copilot. We tracked 47 such tasks. Average time reduction: 52%.
For single-file completion, the gap narrows to 10-15% in Cursor's favour. Meaningful but not transformative for developers who work primarily file by file.
JetBrains: where Copilot wins clearly
Cursor is VS Code only in any practical sense. If your team uses IntelliJ, PyCharm, or WebStorm, Copilot's native integration is significantly better. For Java, Kotlin, and Python teams on JetBrains, this is the deciding factor.
VS Code team focused on productivity → Cursor. JetBrains team → Copilot. Enterprise compliance requirements → Copilot. Individual on budget → Copilot ($10 vs $20).