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 leading open source models, and Cognition's own SWE-2·API available
Key strengths
AI-powered IDE with agent management (Devin Desktop / Spaces)Multi-agent orchestration and Kanban viewSupercomplete next-thought code predictionFast Context for instant codebase searchSupport for multiple frontier model providersFree SWE-2 model accessVPC/enterprise deployment optionsExtensive integrations via MCP servers and language servers
Free tier + paid plans · from $20 USD/mo
Mountain View, US
Founded 2024
Self-hostable
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Recent changes
- 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
- Starting price: $15/mo → $20/mo
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Technical Use Cases
- Multi-agent task delegation: Assign parallel coding tasks to multiple cloud agents, monitor progress via the Kanban view, and merge results — reducing bottlenecks in large feature development.
- Codebase-wide refactoring: Use Fast Context to give agents instant, accurate awareness of the full repository before executing large-scale refactors or migrations.
- Frontier model benchmarking: Switch between OpenAI, Claude, Gemini, SpaceXAI, and SWE-2 on a per-task basis to evaluate output quality without leaving the IDE.
- CI/CD and toolchain integration: Leverage the Windsurf API alongside GitHub, GitLab, or Bitbucket integrations to trigger agent workflows from pull request events or pipeline stages.
- Observability-linked debugging: Connect Sentry and Datadog to surface runtime errors directly in the IDE, then invoke agents to diagnose and patch issues in context.
- Enterprise self-hosted deployment: Run Windsurf within a VPC to satisfy data residency, security, and compliance requirements while retaining full agent and model capabilities.
- Language-server-enhanced development: Combine rust-analyzer, clangd, gopls, or ESLint with AI completions for a deeply integrated, language-aware coding experience.
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