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Windsurf became Devin Desktop in June 2026. The real feature differences between it and Cursor today, and how to actually choose.

Mythili Raju
Author

Salman Khan
Reviewer
Published on: August 27, 2026
Cognition, the company behind the Devin coding agent, signed a definitive agreement to acquire Windsurf on July 14, 2025. On June 2, 2026, that acquisition finished: Windsurf shipped as Devin Desktop, described in Cognition's own announcement as "the next generation of Windsurf."
Most pages ranking for "Windsurf vs Cursor" right now were written before that finished, or mention the acquisition only as a footnote. Searching that phrase still means something, roughly a thousand people a month type it, but the product on the other side of the comparison has changed shape.
This covers what actually changed, where the two editors genuinely differ today, and a framework for choosing that does not depend on a pricing table going stale in three months.
TL;DR
Windsurf was acquired by Cognition in July 2025 and rebuilt as Devin Desktop in June 2026, an agent command center for managing several coding agents at once rather than a single-session editor. Cursor kept its single-agent, editor-first model and added a separate terminal CLI. Neither one verifies that its own output actually renders correctly in a browser.
Not under that name, and not as a standalone company. Windsurf itself was Codeium's rebrand from April 2025. Cognition's own acquisition announcement, dated July 14, 2025, states Cognition "signed a definitive agreement to acquire Windsurf, the agentic IDE."
The product itself did not go dark during that year. It kept shipping as Windsurf under new ownership until Cognition's Devin Desktop announcement on June 2, 2026, which opens: "We're excited to announce Devin Desktop, the next generation of Windsurf." That is the current product, and it is what any "Windsurf vs Cursor" search is now actually comparing against.
More than a new coat of paint on the old Windsurf editor. Cognition's announcement frames Devin Desktop around an "Agent Command Center," positioned to "plan, delegate, review, and ship without leaving your editor" across "fleets of local and cloud agents."
Two specific, verifiable changes matter more than the rename itself:
The same report describes existing Windsurf settings, plans, extensions, keybindings, and MCP connections porting over automatically when a user's editor updated after the June 2 release, so the transition for existing users was designed to be invisible day-to-day even though the underlying product changed considerably.
The pre-rebrand comparisons still ranking for this keyword measure two single-agent editors against each other. That comparison no longer describes the current products.
| Dimension | Devin Desktop (formerly Windsurf) | Cursor |
|---|---|---|
| Core model | Agent Command Center managing multiple local and cloud agents | Single agent per session, focused on one task at a time |
| Agent protocol | Agent Client Protocol (ACP), open to non-Devin agents | Cursor's own agent, proprietary to the product |
| Terminal counterpart | Devin Desktop is itself the desktop surface; cloud agents run outside it | Separate Cursor CLI product, same account and model access |
| IDE core | Full IDE described as backwards-compatible with Windsurf | Mature, editor-first product; the CLI is the newer addition |
The practical question shifted with the product. It used to be "which single agent writes better code." It is now closer to "do you want one focused agent, or a command center coordinating several."
Devin Desktop's session view is built around managing several running agents at once, each tracked as a session with its own status: working, waiting for review, or done, alongside a shared task board and pull request links.
Cursor's agent runs inside the editor's own panel, one session at a time, with the same account and model access it shares with Cursor CLI when you switch to the terminal. Cursor's own documentation lets you choose the model per session with a --model flag, the same mechanism the CLI exposes.
Neither difference is a defect. A team running one well-scoped task at a time gets little extra value from a fleet manager. A team parallelizing several independent tasks, three reviewers on one PR, or several small fixes at once, gets real value from Devin Desktop's command-center model that a single-agent editor cannot offer without external tooling.
Note: TestMu AI's Kane CLI works the same way from either editor's terminal: a plain-English objective, a real Chrome browser, a pass or fail. Try TestMu AI free!
Cursor's CI story is documented and specific. Cursor's own GitHub Actions documentation shows installing the CLI, exporting CURSOR_API_KEY from a repository secret, and invoking agent -p "<prompt>" --model gpt-5 in a workflow step. Our Cursor CLI guide covers the full flag reference, including the three output formats built for parsing in a pipeline.
Devin Desktop's own public documentation does not lay out an equivalent CI recipe as explicitly at the time of writing; its automation story centers on cloud agents dispatched from the desktop command center rather than a documented headless CLI invocation. If your workflow specifically needs a scriptable, CI-triggerable agent command today, Cursor's documented path is the more concrete option to build against right now.
For code-level claims, both are reasonably trustworthy: a change either agent reports is usually a change that actually exists in the diff, and a test command it ran either passed or it didn't.
Neither closes the gap that matters most for shipped features: confirming a page renders, a form submits, or a redirect lands where it should. Both are code-surface tools, however many agents Devin Desktop is coordinating at once. Kane CLI from TestMu AI fills that gap identically from either side: a plain-English objective, a real Chrome browser, and a standard exit code (0 passed, 1 failed, 2 environment error, 3 timeout) that a pull request check or a Devin Desktop task can gate on the same way it gates on a unit test.
A worked example of wiring that exact check into a pipeline step is in our guide to agent-native CI, written for the same class of problem: an agent's own report of success is not evidence a browser would agree.
Both run per-seat subscription tiers, and both have changed those tiers within the last year, Windsurf's most recently during the Devin Desktop transition itself.
Printing specific dollar figures here would be stale within a quarter and would not survive the next pricing update either vendor ships. Check each vendor's own current pricing page directly before deciding; a comparison that quotes last year's numbers is worse than no comparison at all.
Match the tool to the shape of the work, not to whichever name is more familiar.
Trial both against one real task in your own codebase before standardizing on either. Whichever wins, wire in a browser-level check before you trust its output on anything user-facing; start with the Kane CLI documentation to add that step.
Author
Mythili is a Community Contributor at TestMu AI with 3+ years of experience in software testing and marketing. She holds certifications in Automation Testing, KaneAI, Selenium, Appium, Playwright, and Cypress. At TestMu AI, she leads go-to-market (GTM) strategies, collaborates on feature launches, and creates SEO optimized content that bridges technical depth with business relevance. A graduate of St. Joseph’s University, Bangalore, Mythili has authored 35+ blogs and learning hubs on AI-driven test automation and quality engineering. Her work focuses on making complex QA topics accessible while aligning content strategy with product and business goals.
Reviewer
Salman is a Test Automation Evangelist and Community Contributor at TestMu AI, with over 6 years of hands-on experience in software testing and automation. He has completed his Master of Technology in Computer Science and Engineering, demonstrating strong technical expertise in software development, testing, AI agents and LLMs. He is certified in KaneAI, Automation Testing, Selenium, Cypress, Playwright, and Appium, with deep experience in CI/CD pipelines, cross-browser testing, AI in testing, and mobile automation. Salman works closely with engineering teams to convert complex testing concepts into actionable, developer-first content. Salman has authored 120+ technical tutorials, guides, and documentation on test automation, web development, and related domains, making him a strong voice in the QA and testing community.
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