Windsurf AI IDE: The Cursor Alternative Explained

Why this matters

Most AI coding tools bolt autocomplete onto a text editor. Windsurf bets differently: give the AI an agent that reads your terminal, browses the web, calls MCP servers, and tracks everything you do — so you can say "fix the auth bug" instead of copying stack traces back and forth.

Windsurf is the IDE from Codeium, the autocomplete company. In April 2025 they rebranded to Windsurf as the IDE became the main product. By late 2025, Cognition AI (makers of Devin) had acquired them for ~$250M — putting Windsurf at the intersection of agentic AI and fast autocomplete.

If you've used Cursor, the short answer is: Windsurf bets harder on autonomy. Cursor is a highly capable copilot. Windsurf wants to drive.

The setup

Windsurf is a standalone editor built on VS Code. Download it from windsurf.com, sign in, and your VS Code extensions migrate automatically. The free tier gives you a taste of Cascade; the Pro plan runs $20/month and matches Cursor's pricing exactly.

You don't need to configure anything to get started. Open a project folder and Windsurf indexes it. Within a minute, Cascade knows your file tree, your dependencies, and which linter you're running.

Step 1: Orient yourself in the editor

The layout is familiar — file tree left, editor center, Cascade panel right. Two things to notice immediately:

Chat vs Write mode. The Cascade panel has a toggle. Chat mode answers questions about your code without touching files. Write mode (also called Code mode) can create and edit files, run terminal commands, and install packages. You'll live in Write mode for most real work.

The context bar. At the top of the Cascade input you can pin files, paste error messages, or attach a screenshot from the built-in browser. Windsurf tracks your recent actions automatically, so Cascade already knows what file you had open and what you last edited — you don't have to paste it.

Step 2: Run Cascade for multi-file work

This is where Windsurf earns its reputation. Give Cascade a goal, not a task.

// Example Cascade prompt (Write mode)
Add a rate-limiting middleware to all /api routes.
Use the existing Redis client in lib/redis.ts.
Log blocked requests to the activity_events table.
Don't break existing tests.

Cascade will:

1. Map the relevant files automatically
2. Show you a todo list it generated for the task
3. Make edits across multiple files, running your linter after each change
4. Use the terminal to run tests and fix failures it caused

Two things make this different from Cursor's Composer: the planning agent running in the background continuously refines the approach while the execution model handles each step, and checkpoints let you name a snapshot before a big change and revert to it if things go sideways.

Cascade can make up to 20 tool calls per prompt, so complex tasks — add auth, update three routes, write a migration, update the README — usually complete in a single conversation turn.

See cursor vs windsurf 2026 for a direct head-to-head on agentic tasks.

Step 3: Let Supercomplete do the inline work

Between Cascade sessions, Supercomplete handles the gap. It's Windsurf's tab-completion engine, and it goes further than most autocomplete tools.

Where GitHub Copilot completes the current line, Supercomplete predicts your intent — it factors in what you just edited, what's in your terminal, and the shape of the surrounding function. If you rename a variable in one place, it often suggests the rename propagation before you ask.

The practical difference: you spend less time context-switching into Cascade for small changes. Rename a prop, update a type signature, add an import — Supercomplete handles these inline with a single Tab press.

This is the Codeium DNA showing through. Windsurf's SWE-1.5 model runs at ~950 tokens per second, so suggestions arrive before you've finished thinking.

For more on getting value from AI autocomplete, see prompting patterns for code.

Step 4: Connect MCP servers (optional)

MCP (Model Context Protocol) lets Cascade talk to external systems — your database, your deployment pipeline, a third-party API. Windsurf's MCP support is one of the strongest in the category, with enterprise admin controls that Cursor currently lacks.

To connect a server, open Settings → MCP and add a config block:

{
  "mcpServers": {
    "supabase": {
      "command": "npx",
      "args": ["-y", "@supabase/mcp-server-supabase@latest"],
      "env": {
        "SUPABASE_ACCESS_TOKEN": "your-token"
      }
    }
  }
}

Once connected, Cascade can query your database schema, run migrations, and check deployment logs as part of its normal tool-calling flow. You don't prompt it differently — it decides when to reach for the MCP tool based on context.

This matters most for full-stack work where the gap between "write the code" and "verify it works in production" used to require a dozen manual steps.

Common mistakes

Leaving Write mode on during exploration. Cascade is eager. If you're asking questions and it decides it knows the answer, it will edit files. Use Chat mode when you're not ready for changes.

Sending huge context manually. Windsurf's real-time awareness means Cascade already has your recent file history. Pasting the entire file manually is usually redundant and burns your quota faster.

Ignoring checkpoints. Before any large refactor, name a checkpoint. Reverting Cascade changes after the fact is harder than in Cursor — checkpoints are your safety net.

Expecting Cursor muscle memory to transfer. The agentic flow feels different. Give it a week before judging — the biggest adjustment is trusting Cascade to run multiple steps without approving each one.

Not reviewing the todo list. When Cascade generates a plan, read it. If step 3 says "drop the users table," that's a good moment to course-correct.

What's next

Windsurf is the right pick if you want the AI to drive and you're comfortable reviewing diffs rather than typing every line. It's particularly strong for greenfield features, refactors that touch many files, and any workflow where you'd otherwise spend time copy-pasting between terminal, browser, and editor.

Cursor still wins on fine-grained control and transparency — if you want to feel every step of the AI's reasoning, Cursor's inline editing and explicit context management are easier to trust.

For more on the comparison, read cursor vs windsurf 2026 or cursor 2026 features guide. And if you're new to building with AI tools in general, what is vibecoding is a good place to start.