Windsurf
AI-native code editor built around agents that edit multiple files and run commands, with local and cloud runs.
Quick facts
| Pricing | Freemium |
|---|---|
| Free tier | Yes — free tier with a monthly prompt allowance |
| Platforms | macOS, Windows, Linux |
| Developer | Windsurf |
| Website | https://windsurf.com/ |
What Windsurf is
Windsurf is an AI-native code editor built around agents rather than autocomplete. The core idea is that you describe a task and the editor's agent reads the relevant files, edits several of them, runs commands and reports back, while you watch the diff. It can run agents locally in the editor or in the cloud, and a single surface lets you manage several at once — delegate, review, ship. Context is gathered automatically from the codebase rather than by pasting files, which is what separates it from a chat window beside an editor. It supports the common languages and integrates with repositories, terminals and test suites. The limits are familiar for agentic coding: large refactors still need review, the agent can be confidently wrong about project conventions, and credit-based pricing means long sessions cost more than short ones. A tab-completion mode still exists for people who prefer to keep typing.
Best for
- Multi-file changes that would otherwise be hours of editing
- Delegating a scoped task and reviewing the diff later
- Teams that want agent work inside the editor rather than a separate tool
Not ideal for
- Repositories where every change needs line-by-line control
- Work that must stay entirely offline
Pros
- Agent edits several files and runs commands in one task
- Local and cloud runs from the same surface
- Context is gathered without pasting files
Cons
- Agents can misread project conventions
- Credit-based usage makes long sessions costly
- Smaller extension ecosystem than established editors
Pricing in detail
The free tier includes a monthly allowance of agent prompts with limited access to faster models. Paid plans are billed monthly or annually and raise the prompt allowance, add access to stronger models and more concurrent agents; team plans add admin and billing controls. Because usage is metered in prompts rather than seats, a heavy day of refactoring can consume a plan faster than a month of small edits.