Windsurf
Free tierAgentic AI code editor from Codeium — Cascade agent handles multi-file tasks end to end.
Free tier available·Technical·Powered by Multiple providers: OpenAI, Anthropic (Claude), Google (Gemini), SpaceXAI, plus open-source models; proprietary SWE-2 model·API available
Key strengths
AI-powered IDE with agent management (Devin Desktop / Agent Command Center)Multi-agent orchestration via Spaces and Kanban viewSupercomplete predictive code completionFast Context for instant codebase navigationAccess to multiple frontier models (OpenAI, Claude, Gemini, SWE-2)Support for MCP servers and language server extensionsVPC/dedicated deployment for enterpriseTrusted by 1M+ developers and 4000+ enterprise customers
Free tier + paid plans · from $20 USD/mo
Mountain View, US
Founded 2024
Self-hostable
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Recent changes
- Plans updated: Free plan at $0 with light quota and limited models; Pro at $20/month with increased quotas and frontier model access; Max at $200/month with significantly higher quotas; Teams at $80/month base + $40/month per full dev seat (up to 200 users); Enterprise pricing on request.
- Models updated: Multiple providers: OpenAI, Anthropic (Claude), Google (Gemini), SpaceXAI, plus open-source models; proprietary SWE-2 model
- API: now available
- Self-hosting: now available
- Models updated: Multiple providers: OpenAI, Anthropic (Claude), Google (Gemini), SpaceXAI, plus leading open source models, and Cognition's own SWE-2
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Windsurf — Documentation & Developer Resources
Windsurf exposes several integration and extension surfaces for developers:
- API access — a programmable interface for embedding Windsurf capabilities into custom workflows and tooling
- MCP server support — connect Model Context Protocol servers to extend what agents can do and what context they can access
- Language server protocol (LSP) extensions — first-class support for
rust-analyzer,clangd,gopls,ESLint,Prettier, and the Windsurf Pyright Extension for Python - Self-hosting / VPC deployment — enterprise teams can deploy Windsurf in a dedicated or VPC environment, keeping code and context within their own infrastructure
- Multi-model configuration — developers can configure which model provider handles which task type, choosing from OpenAI, Anthropic (Claude), Google (Gemini), SpaceXAI, open-source models, or the proprietary SWE-2 model
- Spaces & Kanban API surface — multi-agent orchestration is manageable programmatically, supporting automated task assignment and status tracking
Key integrations for engineering workflows: GitHub, GitLab, Bitbucket (source control); Jira, Linear (issue tracking); Slack (notifications); Sentry (error monitoring); Vercel, Datadog (deployment & observability); Stripe (billing context); Notion, Figma, Atlassian Confluence (documentation & design).
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