Cursor vs Windsurf: A Runnable Test for Your Team

TL;DR — Cursor vs Windsurf needs a test you can inspect. Download our identical coding task and grader, then compare the patch, failures and review time. Our vendor comparison is pending because a Windsurf execution environment was unavailable. There is no measured winner here.

A confident editor recommendation is cheap. A patch you can trust takes work.

The old version of this comparison assigned Cursor to existing codebases and Windsurf to fresh builds. We have removed that blanket recommendation. This page does not have a completed experiment supporting it. Neither an editor's reputation nor an impressive demo tells you how much review your team will need.

What we can offer now is a runnable task, a fixed acceptance check and a clear record of what still needs testing. You can use the same procedure to evaluate your own workflow without accepting our preferences as evidence.

Download the Cursor vs Windsurf task pack

Get the standalone benchmark runner and the full experiment protocol. The runner uses Node built-ins and Git; it installs no packages. The protocol names the required runtime and explains each command.

The Cursor vs Windsurf fixture is deliberately small: a JavaScript function that returns a page of orders. Its starting implementation gets the page boundary wrong. The editor must repair that bug and add a status filter that runs before pagination. It must preserve input order, leave the original data untouched and reject invalid options.

This is a maintenance task with a feature addition. It can expose a plausible patch that passes an easy example while still mishandling a boundary. It cannot represent an entire production application. That limitation is part of the experiment.

Each editor gets a separate folder with identical starting code and the same written prompt. The grader stays outside those folders. You retain the original output before asking for revisions, so a rescue conversation cannot disappear from the record.

What a Cursor vs Windsurf test measures

The runner checks default output, a later page, both supported status filters, input preservation, empty and beyond-the-end results, and invalid pagination options. It reports each check separately. The fixture's initial failure is a control showing there is a real task to solve; it is not a result attributed to either editor.

A generated receipt includes fingerprints of the starting source and prompt, the resulting source fingerprint, the module diff and acceptance outcomes. Fingerprints let a reviewer confirm whether two trials started from the same bytes. The receipt also carries generation duration, reviewer minutes and intervention count from the operator's metadata.

Those timings are supplied by the person running the experiment. The harness does not independently observe an editor session. It requires a transcript file and valid metadata, but file presence cannot prove that a particular product produced a patch. A reviewer still has to inspect the evidence. The receipt explicitly leaves vendor execution unverified.

The grader runs the candidate's JavaScript locally. Use a disposable workspace without credentials, and inspect the candidate before executing it. The process deadline bounds a hung check; it is not a security sandbox. Review the whole folder as well as the captured module diff, because an out-of-scope file is still a scope problem.

Keep your Cursor vs Windsurf comparison fair

Start with a fresh conversation and the same prompt in each product. Record the installed editor version, selected model, mode, permissions and any project rules. Save the exact prompt that was actually sent, not just the template you intended to use.

If the selected models differ, report a comparison of product and model together. Do not attribute every difference to the editor. Likewise, a run through a command-line agent does not measure every part of an editor interface. Name the surface you used.

Keep generation time and review time separate. An agent finishing quickly is useful only if someone can understand and accept the patch. Record every follow-up, manual edit and failed command. If you fix the output yourself, preserve the initial failure and identify the repair.

For repeated trials, use fresh fixtures, alternate the running order and declare the time budget before starting. Publish unsuccessful attempts alongside successful ones. A single result on this small task can guide the next question; it cannot establish a universal winner.

Cursor vs Windsurf results: both product runs pending

As of October 21, 2026, this pack has no completed Cursor-versus-Windsurf comparison. Windsurf runtime access was unavailable in our execution environment. Missing access is an experiment blocker, not evidence of poor coding performance. We have not substituted another agent or assigned a score to the missing run.

Product identity also needs care. On that date, the legacy Windsurf Cascade documentation redirected to Devin Desktop's Cascade documentation. That documentation observation does not establish that installed versions are interchangeable. A future report must identify the actual product and version it ran.

The official Cursor documentation describes code understanding, planning, building, debugging and review workflows. Those documented capabilities are useful context, but they do not supply comparative measurements for this task. We will need the actual prompts, patches, failures and review records before making a performance claim.

How should you choose before the benchmark is complete?

Use the pack to make your evaluation concrete. Ask whether the proposed patch is correct, whether it respects scope and whether your reviewer can explain it. Then test a representative task from your own application under the same review discipline. A pagination exercise cannot tell you whether an editor understands your architecture or handles a difficult migration.

Check current billing and usage terms directly when evaluating cost. This page does not repeat subscription prices or convert elapsed time into a dollar claim. If you publish spending, keep the dated receipt and explain what it covers.

For editor setup and codebase context, start with our Cursor IDE guide. For the wider choice of tools, read best AI coding assistant. Treat those as context for your evaluation, not as replacements for checking the resulting code.

Bring the evidence into your team workflow

Download the pack, run it locally and keep the receipts. Nothing in the runner uploads your source, transcript or measurements. Before sharing results, remove credentials, private code and personal paths.

If your team needs help establishing the review rules around AI coding, talk to us about your workflow. Bring a short summary you have reviewed: the task, what failed and where review took effort. Keep raw client code and private transcripts out of the enquiry. That gives us a concrete starting point for deciding what to improve.