We gave both tools the same six refactors, pulled from real, messy client repositories — not curated demo projects. Same prompts, same starting commit, same reviewer grading the output blind, so a preference for either tool's interface couldn't quietly tilt the score.
How we tested it
Each task was a refactor an engineer had actually requested in a past sprint: a cross-file rename, a prop-drilling cleanup, a Next.js routing migration, an error-handling pass, a test-suite update after an API change, and a dependency bump that touched twelve files. We logged turns-to-completion, whether the first attempt introduced new type errors, and how much manual cleanup the human reviewer needed afterward.
What we found
Claude Code finished four of the six tasks in a single pass, including the cross-file rename — the task that gave Cursor's agent the most trouble. Cursor split that one into three separate edit rounds before it stopped introducing new type errors, mostly because it kept losing track of a type definition that lived outside the files it had open.
Cursor pulled ahead on exactly one task: the Next.js routing migration. Its native editor integration meant it could re-check file state without a round-trip, which mattered on a task with a lot of small, interdependent file moves.
Head to head
| Criteria | Claude Code | Cursor |
|---|---|---|
| Turns to complete | 1.7 avg | 2.9 avg |
| Context window | 200K | 128K |
| IDE integration | Terminal-first | Native editor |
| New type errors on first pass | 1 of 6 | 3 of 6 |
| Price / mo | $20 | $20 |
Best for larger, multi-file refactors where you'd rather describe the change once than babysit it. If you live inside VS Code and want inline diffs as you type, Cursor is still the better everyday driver — the gap only shows up on the harder, cross-file work.
Where does OpenAI's Codex fit in?
This test only covered Claude Code and Cursor — but OpenAI's Codex CLI is the one closing the gap fastest. In JetBrains' survey of 15,000+ professional developers (published August 2026), Codex's adoption jumped from 3% in January to 16% by May–July, and awareness of it rose from 27% to 65% over the same stretch. Claude Code still leads by a wide margin on primary-tool share — 31% of developers name it their main assistant — but Codex is no longer a rounding error.
On raw capability, the race is closer than the adoption numbers suggest: Artificial Analysis's Coding Agent Index puts Claude Opus 4.7 (the model behind Claude Code) at 66 and GPT-5.5 (behind Codex) at 65 — a near-tie — with Cursor's Composer 2.5 at 62. GPT-5.5's top-effort setting also costs noticeably more per task than Claude Opus 4.7's ($4.82 vs. $4.10).
We haven't run Codex through our own six-refactor test — the numbers above are third-party survey and benchmark data, not a Monster Tango head-to-head. If we test it directly, it gets a real ranking here instead of an estimate.
Does Cursor's context window limit actually matter in practice?
Only on the largest refactor in our set — the twelve-file dependency bump. On anything smaller than that, both tools had headroom to spare.