Windsurf is an AI code editor built on VS Code — and its standout feature is Cascade, an agentic mode that doesn’t just suggest code but plans and executes multi-step tasks across your entire project. If you’ve only used inline autocomplete tools like GitHub Copilot or prompt-based chat like Cursor‘s Cmd+K, Cascade will feel like a fundamentally different kind of tool. This tutorial explains how to get value from it without losing control of your codebase.
Getting Set Up
Download Windsurf from codeium.com/windsurf. It’s a VS Code fork, so your existing extensions, themes, and keybindings transfer over automatically. Sign in, and your settings import in one step. The free tier gives you limited Cascade flows per day — enough to follow this tutorial and test the tool on a real task before deciding on the Pro plan ($15/month).
Cascade lives in the right-side panel. Open it with Cmd+L (Mac) or Ctrl+L (Windows). You’ll see a chat input at the bottom and a flow log above it that tracks every action Cascade takes in real time.
Understanding How Cascade Is Different
Most AI coding tools are reactive — you select code, prompt a change, review the result. Cascade is proactive. When you give it a task, it:
- Reads and maps the relevant parts of your codebase
- Formulates a multi-step plan
- Edits files, creates new ones, and deletes what’s no longer needed
- Runs terminal commands (installs, tests, builds)
- Checks its own output and self-corrects when something fails
This makes Cascade genuinely powerful for large tasks — and genuinely risky if you hand it a vague prompt and walk away. The quality of what it does is almost entirely determined by the quality of what you ask for.
The Tasks Cascade Does Best
Scaffolding New Features
Cascade excels when you’re adding something new to an existing project. Example prompt: “Add a user authentication system to this Express app. Use JWT tokens. Store users in the existing PostgreSQL database. Follow the same patterns used in the existing route handlers.”
Notice what’s included: the specific technology, the database to use, and — critically — a reference to your existing patterns. That last part matters enormously. Without it, Cascade will make architectural decisions that may not fit your codebase.
Refactoring Across Multiple Files
Manual refactors that touch ten files are painful. Cascade handles them in one flow. Example: “Refactor the entire codebase to replace all instances of the deprecated `fetchUser()` function with the new `getUserById()` function. Update all callers and make sure the parameter types match.”
Cascade will read all affected files, make consistent changes, and flag any ambiguous cases for your review rather than guessing.
Debugging With Context
Paste an error log directly into Cascade and ask it to find and fix the root cause. Because Cascade has access to your full project structure — not just the file you’re currently viewing — it can trace errors across files in a way that single-file chat tools cannot. Example: “I’m getting this error when I run the test suite: [paste error]. Find the root cause and fix it without changing the test expectations.”
Writing Tests
Cascade is particularly good at generating test suites for existing code because it can read the implementation, understand what it’s doing, and write tests that match the actual behavior. Example: “Write unit tests for the `userService.ts` file using Jest. Cover the happy path and all the error states. Match the test style in the existing test files.”
How to Write Effective Cascade Prompts
Cascade prompts work differently from standard code chat. A few principles that make a significant difference:
- Be specific about scope. “Refactor the authentication module” is too broad. “Refactor the token validation logic in `auth/validate.ts` to use the new `TokenService` class instead of direct JWT calls” is right-sized.
- Reference your existing patterns. Always tell Cascade to follow the patterns already in the codebase — “use the same error handling pattern as in `userController.ts`” — otherwise it will make its own choices.
- Specify what NOT to change. If you want only part of a file touched, say so explicitly: “Don’t modify the database connection logic. Only change the query builder functions.”
- Give it the right context file. Use @filename in your prompt to pull specific files into Cascade’s context. For complex tasks, explicitly reference the files it should read before starting.
Staying in Control: The Non-Negotiable Habits
Cascade’s power comes with a real risk: it can make sweeping changes to your project fast. These habits keep you from spending an hour undoing a cascade (pun intended) of unwanted edits:
- Always commit or stash before running a large Cascade flow. This gives you a clean rollback point. Non-negotiable, even for small tasks.
- Watch the flow log in real time. Don’t walk away while Cascade is running. The flow log shows every file it’s touching and every command it’s running — if something looks wrong, stop the flow immediately.
- Review the diff before accepting. Windsurf shows a full diff of all changes before they’re applied. Read it. Even a brief scan catches obvious mistakes before they’re committed to your working files.
- Run your tests after every Cascade flow. Cascade checks its own output, but it’s checking against what it thinks the requirements are — not necessarily what your existing test suite expects.
When to Use Cursor Instead
Cascade is not always the right tool, even inside Windsurf. For quick, single-file edits, inline rewrites, or simple question-and-answer coding tasks, Cascade’s planning overhead is unnecessary. Use Windsurf’s standard chat panel (without Cascade) or switch to Cursor‘s Cmd+K for those tasks — it’s faster and more predictable for targeted changes.
Cascade earns its place on tasks that would require you to manually touch more than three files, involve setting up new infrastructure, or require sequential steps where each depends on the previous one.
Pricing
- Free tier: Limited Cascade flows per day — enough for testing
- Pro ($15/month): Unlimited Cascade flows, priority inference, access to all models including Claude
- Teams plan: Shared billing, admin controls, SSO
Conclusion
Cascade changes what’s possible in a solo development session. Tasks that used to take an afternoon — scaffolding a new feature, refactoring across a large codebase, generating a full test suite — become hour-long flows. The key is treating it like a capable junior developer, not an infallible autocomplete: give it clear instructions, watch what it does, and review every diff before it lands. Browse our full AI coding tools directory to compare Windsurf against Cursor, GitHub Copilot, and other options in this space.
