Windsurf is an AI-powered Integrated Development Environment (IDE) designed to enhance developer productivity through intelligent code assistance and automation.
51 Score™
89
Technology Innovation 87
Stability & Maturity 87
Technology Innovation 87
Technology Innovation 87
Traffic / month
3,652,714
Market Categories
Applications
Use Case
ML Development Platforms
Business Function
Software Development & Engineering
Industry
Technology & Software
Headquarters Location
San Francisco, CA, USA
Product Name
Windsurf Editor
Parent Company
Codeium
Founder
Varun Mohan
Web2vsWeb3
Web2
Access Model
SaaS
Pricing Model
Pricing Plan
Target Users
SMEs
Token Name (Optional)
NA
Competitors
GitHub Copilot, Tabnine
Feature completness
80% (Core features: code completion, search, generation. Lacks advanced debugging or CI/CD integration.)
Product differentiation
Applications
Customer feedback
ML Development Platforms
Years in business
3,652,714
Funding type
Applications
Funding stage
ML Development Platforms
Funding amount
ML Development Platforms
Employee count
ML Development Platforms
Employee growth
ML Development Platforms
Tech stack modernity
Windsurf uses cloud-native architecture, integrates modern LLMs like GPT-4 and Claude via Model Context Protocol, supports VSCode/JetBrains IDEs, and offers deep context indexing - cloud provider not publicly disclosed.
Product Roadmap
Plans to expand language support and add more AI-powered features.
Enterprise readiness
Windsurf enables seamless IDE integration, scales across large teams with VPC/self-hosted setups, and supports enterprise SLAs with SOC 2 compliance and audit logging.
Security & Compliance Readiness
Windsurf offers enterprise-grade security with SOC 2 compliance,HIPPA, self-hosted/VPC deployments, audit and attribution logging.
API Type
Plans to expand language support and add more AI-powered features.
API Quality
Production-Ready
Documentation Link
Documentation quality assessment
Documentation is clear and easy to understand
Support Methods
Responsive customer support.
Critical capabilities
AI-powered autocomplete, chat-based assistance, multi-file editing via Cascade agents, deep context awareness, command execution, rule-based customization, Model Context Protocol support, terminal integration, AI-generated commit messages, advanced configuration options, and local/remote code indexing.
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