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 — Technical Use Cases
- Multi-agent task orchestration — use Spaces and the Kanban view to assign parallel workstreams to multiple AI agents, coordinating feature development, bug triage, and code review simultaneously
- AI-assisted refactoring at scale — leverage Fast Context for instant codebase indexing so agents can navigate large monorepos and apply consistent refactors across files
- Polyglot development — language server integrations (
rust-analyzer,clangd,gopls, Pyright) mean Windsurf's AI features work natively across Rust, C/C++, Go, and Python projects - Custom agent tooling via MCP — connect Model Context Protocol servers to give agents access to internal APIs, databases, or proprietary context sources
- CI/CD and observability integration — connect Sentry for error context, Vercel for deployment status, and Datadog for monitoring signals, feeding real operational data into agent decision-making
- Enterprise air-gapped or VPC deployment — self-host Windsurf in a dedicated environment to meet data residency and compliance requirements
- Model routing strategies — configure task-specific model selection across OpenAI, Claude, Gemini, SWE-2, and open-source models to optimize for cost, latency, or capability per task type
- Programmatic workflow automation — use the Windsurf API to integrate agent management into existing developer portals, internal tooling, or CI pipelines
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