Windsurf vs Cursor: Which AI IDE Should You Choose?

Cursor and Windsurf have spent two years leapfrogging each other so closely that picking between them feels like picking a religion. Both are VS Code forks with AI woven into the editor; both will plan, write, and refactor code from a prompt; both ship model updates fast enough that any screenshot comparison ages in weeks. I have used both on real projects this past year — a Django codebase with tests, a Next.js app, and assorted scripting work — and while the headline features look identical on paper, the daily experience of working with each is not.

I wrote this for developers trying to decide where their subscription goes and which editor gets reshaped into muscle memory. My criteria: how the agent handles multi-file changes on an existing codebase (not greenfield toys), the quality and safety of its edits (does it respect your architecture or bulldoze it), the smoothness of the human-in-the-loop flow — reviewing, accepting, reverting — and the real cost at the tier where daily agent use does not hit a wall. Pricing is what was listed at time of writing; both vendors adjust plans frequently, so hedge. Here is what my testing actually showed.

Windsurf

Windsurf's pitch is "flow" — the AI working alongside you inside the editor without breaking your concentration — and its Cascade agent is the vehicle. Cascade takes a task, builds an internal plan, reads the relevant files, and streams multi-file edits with checkpoints you can step through. In my testing on a mid-sized Django project, the standout was how Cascade maintains context across a long session: I asked for a feature, then asked for a test, then asked it to fix what the test caught, and it did not lose the thread the way some agents do after three turns. The tab autocomplete is also excellent — it predicts whole logical edits, not just the next token, and I found myself accepting completions I did not expect. The limits I hit: its plans could be too optimistic about blast radius on gnarly refactors, and I reviewed every diff. At time of writing, Windsurf has a free tier with limited agent credits and paid tiers per user per month for fuller agent access — the plan names and credit rules have shifted, so check the current page. Best for: developers who want a calm, guided agent workflow and great inline predictions. Honest limitation: when the agent's plan is wrong, untangling its multi-file edit takes longer than doing the refactor yourself.

Cursor

Cursor is the more aggressive of the two — it leans into agent-driven development with Composer/agent mode, background agents that can run tasks in parallel, and a design that assumes you are delegating real work, not nudging autocomplete. In my testing the difference that mattered most was iteration speed on feature work: I described a change, Cursor proposed a plan, applied edits across the codebase, and let me accept or reject per file — and its code fit my existing patterns more often than not, picking up my conventions from nearby files. Model choice is another strength; switching between frontier models per task is first-class, and I made real use of that — one model for planning, another for bulk edits. Where it bites: heavy agent use burns through usage limits faster than you expect on lower paid tiers, and accepting edits blindly piles up review debt. At time of writing, Cursor offers a free tier with limited completions and agent requests, plus paid tiers per user per month at roughly the price of the underlying models' subscriptions — verify current numbers before budgeting. Best for: developers who want to delegate whole tasks and are disciplined about reviewing diffs. Honest limitation: it rewards a careful reviewer and punishes a trusting one.

Where they actually differ

Running both on the same codebase exposed the real trade-offs. On tab completion, Windsurf felt more predictive of my intent at the keystroke level; on whole-task delegation, Cursor's agent loop felt faster and more willing to attempt large changes. Diff review: both are per-file accept/reject, but Cursor's background agents mean you can queue work and review later, which is a genuine productivity shift — or a review pile-up, depending on your habits. Codebase comprehension: both index and search your repository well; in my experience Cursor was quicker to find the right insertion point in a large repo, while Windsurf's inline documentation of what it is about to do made me more comfortable saying yes. Reliability: both are shipping weekly, and I have had bad updates from each — pin a version if your team cannot afford surprise churn. Editor base: both are VS Code forks, so extensions and keybindings transfer; Windsurf has been shedding some VS Code compatibility along the way, which matters if you depend on niche extensions. Neither one eliminates the review step; both change how much of the typing you do versus how much of the checking. On failure modes, from my log of mistakes: Windsurf's worst habit is completing a task elegantly in the wrong place — a tidy change to a module that should not have been touched — while Cursor's is doing more than I asked and burying the extra in a long diff. Neither is common, and both are caught by the same discipline: read the file list before you read the code, and ask what the agent touched that you did not request.

What switching between them is actually like

I moved a project from Cursor to Windsurf and back, and the migration cost is lower than the marketing suggests but not zero. Keybindings, themes, and extensions carry over since both are VS Code forks — that part took minutes. What does not carry over: the rules and prompt files each tool uses to steer its agents, the session history your context has accumulated, and any habits built around one tool's particular review flow. I rebuilt my project rules twice, and each time the agent behaved subtly differently for a day or two until the new instructions bedded in. There is also the invisible cost of competence: after a month with one tool I had internalised its quirks — when to trust its plan, which edits to inspect first — and switching reset that judgement to zero. My advice from doing it: if you want to compare, run both on the same small project for two weeks before touching your main codebase, and decide before you have to migrate anything real.

How to choose

Base it on your delegation style. If you think in tasks and want to hand off multi-file work while you keep moving — especially with background agents — Cursor is the stronger fit, provided you build a review habit. If you want AI that lives inside your keystrokes, keeps a long session coherent, and shows its work before acting, Windsurf suits a more guided pace. For teams, the honest questions are boring and important: which editor's update cadence can your CI and extension stack tolerate, which pricing tier covers your actual agent usage at time of writing, and where does source control protect you — because with both tools, branch discipline and small commits are what keep agent output reviewable. I would trial both on the same real ticket before deciding; the winner for you is about workflow friction, not benchmark scores. If it helps, the tiebreaker in my own workflow was review time: whichever tool produces diffs I can check fastest is worth more than the one that writes slightly more code per prompt, because checking is the part that scales badly as agents improve.

FAQ

Can either one handle a large legacy codebase?
Yes, with expectations in order. Both index big repositories and make sensible multi-file edits in my experience, but on legacy code the agent's assumptions about your architecture need checking every time. I keep changes small and let the tool work within them. The practical pattern that worked for me: let the agent find the code and propose the change, but hand-write the seams between old and new behaviour, since that is where legacy assumptions live.

Is my code sent to the cloud?
Both tools process most AI requests on their servers by default, and both offer settings aimed at privacy-conscious teams — Cursor has privacy mode and Windsurf has comparable controls. In practice I treat every prompt as if it leaves my machine regardless of settings, and I keep credentials and customer data out of prompts entirely. If code leaving your machine is a hard constraint, read each vendor's current data policy before your team commits; these policies change.

Do I need to pay for frontier model subscriptions on top?
Not usually. At time of writing, both include model access in their paid tiers, with premium models sometimes metered against usage limits. The subscription is normally all you need — the bill grows with agent usage, not with extra model accounts. The exception is teams running heavy background or parallel agents; at that point usage overages are the line item to watch, and I would confirm current overage rules with each vendor before rollout.