[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-cursor-vs-windsurf-4-tasks-same-prompts-en":3,"tags-cursor-vs-windsurf-4-tasks-same-prompts-en":30,"related-lang-cursor-vs-windsurf-4-tasks-same-prompts-en":41,"related-posts-cursor-vs-windsurf-4-tasks-same-prompts-en":45,"series-tools-e181ed6b-5ee9-4072-824f-8f3066426b81":82},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":18,"translated_content":10,"views":19,"is_premium":20,"created_at":21,"updated_at":21,"cover_image":11,"published_at":22,"rewrite_status":23,"rewrite_error":10,"rewritten_from_id":24,"slug":25,"category":26,"related_article_id":27,"status":28,"google_indexed_at":29,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":20},"e181ed6b-5ee9-4072-824f-8f3066426b81","Cursor vs Windsurf: 4 Tasks, Same Prompts","\u003Cp>Cursor and Windsurf both promise faster coding, but speed is the easy metric. The harder one is whether the code you get back matches the patterns already in your app, and whether it survives review without a pile of edits.\u003C\u002Fp>\u003Cp>In a side-by-side test across four identical tasks, one result kept showing up: Cursor was better at fitting into an existing codebase, while Windsurf was more willing to explore beyond the prompt. That difference mattered more than raw generation speed.\u003C\u002Fp>\u003Ch2>What was tested, and why it matters\u003C\u002Fh2>\u003Cp>The comparison used the same prompts in both tools for four tasks: a REST API endpoint with auth and validation, a multi-file service refactor, a debugging pass from production logs, and a React component with edge cases. The codebase was a Node.js and TypeScript backend with a React frontend, which is the kind of stack most teams actually ship.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775271833121-7wuq.png\" alt=\"Cursor vs Windsurf: 4 Tasks, Same Prompts\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That matters because AI coding tools look great in isolation. A generated function can be syntactically correct and still fail the real test: does it fit the project’s validation style, error format, service layer, and test setup? That is the bar developers care about when code has to land in a pull request.\u003C\u002Fp>\u003Cp>The article’s source comparison came from \u003Ca href=\"https:\u002F\u002Fwww.getautonoma.com\u002Fblog\u002Fcursor-vs-windsurf\" target=\"_blank\" rel=\"noopener\">Autonoma’s Cursor vs Windsurf test\u003C\u002Fa>, and the findings were blunt. Cursor did better when the task depended on codebase context. Windsurf did better when the task benefited from autonomous file discovery.\u003C\u002Fp>\u003Cul>\u003Cli>4 identical tasks were run in both tools\u003C\u002Fli>\u003Cli>Node.js\u002FTypeScript API plus React frontend was the test bed\u003C\u002Fli>\u003Cli>Evaluation focused on correctness, error handling, cleanup, and codebase fit\u003C\u002Fli>\u003Cli>Testing quality was weak in both tools\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Cursor’s edge: context fidelity\u003C\u002Fh2>\u003Cp>Cursor’s strength is explicit context. You point it at the files, helpers, and rules you want it to respect, and it tends to follow those signals closely. In a codebase with established conventions, that makes a real difference.\u003C\u002Fp>\u003Cp>For the REST endpoint task, Cursor used the existing auth middleware pattern, matched the project’s Zod validation style, and returned errors in the same shape as the rest of the API. That sounds small, but small mismatches are what slow reviews down. A PR that uses the wrong error key or bypasses the service layer often gets kicked back even if the logic works.\u003C\u002Fp>\u003Cp>Cursor also did well on the multi-file refactor when the relevant controller, service pattern, and dependency injection setup were included in context. It generated the new service file, updated the controller, and fixed the router import. The diff was tidy enough that a reviewer could focus on behavior instead of cleanup.\u003C\u002Fp>\u003Cp>That said, Cursor’s quality depends on how disciplined the user is. If you do not feed it enough context, it can still produce generic output. The tool rewards teams that already have conventions written down in something like a \u003Ca href=\"https:\u002F\u002Fdocs.cursor.com\u002Fcontext\u002Frules\" target=\"_blank\" rel=\"noopener\">Cursor rules file\u003C\u002Fa>.\u003C\u002Fp>\u003Cul>\u003Cli>Matched existing auth middleware without drift\u003C\u002Fli>\u003Cli>Used Zod where the codebase already used Zod\u003C\u002Fli>\u003Cli>Kept service-layer boundaries intact\u003C\u002Fli>\u003Cli>Produced the cleanest diff on the refactor task\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Windsurf’s edge: initiative\u003C\u002Fh2>\u003Cp>Windsurf took a different path. Its Cascade agent tried to discover the right files on its own, which made it feel more autonomous and less manual. For smaller or less familiar tasks, that is genuinely helpful because you do not need to assemble context file by file.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775271838915-tdje.png\" alt=\"Cursor vs Windsurf: 4 Tasks, Same Prompts\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>On the debugging task, Windsurf did something Cursor did not: it found a related null-check issue further down the same file and fixed that too. That is the kind of extra pass that can save time when the bug is part of a broader pattern instead of a one-off typo.\u003C\u002Fp>\u003Cp>The downside is that Windsurf sometimes solves the prompt in a way that is technically correct but stylistically off. In the endpoint task, it used a different error response shape, skipped the project’s Zod convention, and called the model directly instead of going through the service layer. None of those choices broke the app, but they did create cleanup work.\u003C\u002Fp>\u003Cp>That tradeoff becomes more visible in larger refactors. Windsurf found the controller and service files without help, but it missed a unit test that still mocked the old internal method. The code changed, the test broke, and a human had to finish the job.\u003C\u002Fp>\u003Cblockquote>“The best code is not the code that looks clever. It is the code that the next person can understand and trust.” — Kent Beck, \u003Ca href=\"https:\u002F\u002Ftwitter.com\u002Fkentbeck\" target=\"_blank\" rel=\"noopener\">X profile\u003C\u002Fa>\u003C\u002Fblockquote>\u003Ch2>Task-by-task comparison with real outcomes\u003C\u002Fh2>\u003Cp>The differences were easiest to see when the tasks were broken down one by one. The endpoint task exposed style drift. The refactor task exposed test coverage gaps. The debugging task showed how far each tool would look beyond the immediate prompt. The React component task exposed how each model handles edge cases and empty states.\u003C\u002Fp>\u003Cp>Here is the practical read on those results: Cursor was more conservative and more consistent. Windsurf was more exploratory and occasionally more helpful because of it. If your team values code that lands closer to house style on the first pass, Cursor is the safer bet. If you want the tool to inspect nearby files and propose extra fixes, Windsurf is more aggressive.\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.cursor.com\" target=\"_blank\" rel=\"noopener\">Cursor\u003C\u002Fa> kept API shape and service boundaries aligned with the codebase\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwindsurf.com\" target=\"_blank\" rel=\"noopener\">Windsurf\u003C\u002Fa> found adjacent issues during debugging\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcognition-ai\" target=\"_blank\" rel=\"noopener\">Cognition\u003C\u002Fa> acquired Windsurf for $250M, which signals enterprise intent\u003C\u002Fli>\u003Cli>Cursor reportedly reached $2B ARR and 2M+ users, which shows how widely it has spread\u003C\u002Fli>\u003Cli>Both tools were priced at $20\u002Fmonth for Pro at the time of the test\u003C\u002Fli>\u003C\u002Ful>\u003Cp>One interesting detail is that the price gap was basically nonexistent. That removes the easy excuse. This is not a budget choice; it is a workflow choice.\u003C\u002Fp>\u003Cp>Windsurf also had another practical advantage: broader editor support. If your team lives in JetBrains IDEs or wants a wider plugin footprint, that matters. Cursor is more opinionated. Windsurf is more flexible about where it fits.\u003C\u002Fp>\u003Ch2>What this means for teams shipping code\u003C\u002Fh2>\u003Cp>If your codebase already has strong conventions, Cursor is easier to steer into those rails. It rewards explicit context, and that makes it a good fit for teams that care about consistency across services, tests, and UI components.\u003C\u002Fp>\u003Cp>If your team wants an agent that explores more on its own, Windsurf is more interesting. It can find related files, spot adjacent bugs, and reduce the amount of manual context setup. The catch is that you will spend more time reviewing the output before it is ready to merge.\u003C\u002Fp>\u003Cp>Both tools still need help with testing. That was the most consistent finding in the comparison. They can draft code quickly, but they do not reliably prove that the code works under real conditions. That is where a verification layer matters, which is why tools like \u003Ca href=\"https:\u002F\u002Fwww.getautonoma.com\" target=\"_blank\" rel=\"noopener\">Autonoma\u003C\u002Fa> matter in the workflow.\u003C\u002Fp>\u003Cp>The takeaway is simple: if you want fewer surprises in review, Cursor is the better default. If you want more autonomous discovery and you are comfortable cleaning up after it, Windsurf has the edge. The real question for your team is not which IDE writes code faster, but which one gets you to a mergeable diff with fewer human edits.\u003C\u002Fp>\u003Cp>My prediction is straightforward: teams with mature conventions will keep drifting toward Cursor, while teams that want more agent behavior will keep experimenting with Windsurf. The winner in your shop will probably be the one that matches how strict your code review process already is.\u003C\u002Fp>","Same prompts, four tasks, two AI IDEs. 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Windsurf：四個任務實測","zh",[46,52,58,64,70,76],{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":26},"a6c1d84d-0d9c-4a5a-9ca0-960fbfc1412e","why-gemini-api-pricing-is-cheaper-than-it-looks-en","Why Gemini API pricing is cheaper than it looks","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778869846824-s2r1.png","2026-05-15T18:30:26.595941+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":26},"8b02abfa-eb16-4853-8b15-63d302c7b587","why-vidhub-huiyuan-hutong-bushi-quan-shebei-tongyong-en","Why VidHub 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