Codeium
FreemiumFree AI code completion and chat for developers. Supports 70+ languages with fast, context-aware autocomplete and in-editor AI assistance.
What does this tool do?
Windsurf is an AI-powered IDE (built on VS Code architecture) that positions itself as a competitor to Cursor, focusing on agentic coding through its 'Cascade' AI assistant. Unlike simple autocomplete tools, Windsurf attempts to handle multi-step coding tasks autonomously—it can create folders, auto-fix lint errors, execute terminal commands, deploy applications, and maintain context across your codebase through a 'Memories' feature that remembers project structure and coding patterns. The tool supports Model Context Protocol (MCP) integrations with services like Figma, Slack, and Stripe, enabling the AI to interact with external tools directly. It claims 94% of code is AI-generated for users, though this metric conflates both substantial work and boilerplate generation.
AI analysis from Feb 23, 2026
Key Features
- Cascade AI agent with multi-step task execution and autonomous terminal command capability
- Codebase memory system that learns project structure, coding patterns, and linting rules
- MCP (Model Context Protocol) server support with pre-configured integrations for Figma, Slack, Stripe, PostgreSQL, Playwright, and Neon
- Automatic lint error detection and auto-fixing of generated code
- Drag-and-drop image-to-code conversion for converting design mockups into functional UI
- Turbo Mode for automated terminal command execution and deployment without user confirmation
- Native JetBrains IDE integration alongside web-based editor
- First-class support for multiple model providers (not limited to single LLM)
Use Cases
- 1Rapidly prototyping web applications from high-level prompts, reducing boilerplate setup time
- 2Building full-stack applications with AI handling folder structure, component creation, and deployment
- 3Automating repetitive development tasks like lint fixing and terminal command execution without context-switching
- 4Integrating design mockups directly into code by dragging Figma images into the editor
- 5Onboarding junior developers who need guided AI assistance to understand and navigate existing codebases
- 6Enterprise teams standardizing on an IDE with centralized AI governance and token-usage transparency
- 7Cross-functional projects requiring AI coordination between code, design tools (Figma), and communication platforms (Slack)
Pros & Cons
Advantages
- Agentic capabilities go beyond autocomplete—AI can autonomously execute terminal commands, create files, and deploy code with Turbo Mode enabled
- MCP server integration allows AI to interact natively with external tools (Figma, Slack, Stripe, databases), reducing manual context-switching
- Memory system provides codebase context persistence, allowing AI to understand project patterns and lint rules across sessions
- Transparent token-based pricing model explicitly mentioned in testimonials, suggesting fairer cost structure than competitors
- Native JetBrains IDE integration (via Cascade) serves developers already invested in IntelliJ/PyCharm ecosystem
Limitations
- Auto-execution of terminal commands and deployments (Turbo Mode) introduces security risks if AI generates malicious or unintended commands without proper guardrails
- No publicly visible pricing details on the website; claims of fairness are anecdotal and lack transparent comparison
- Heavy reliance on AI quality means productivity gains depend entirely on model accuracy—errors compound when autonomous execution is enabled
- Still a relatively new entrant competing against established Cursor; long-term support and feature velocity uncertain
- The 94% AI-generated code metric is misleading and conflates boilerplate with substantive development work
Pricing Details
Pricing details not publicly available. Website mentions a 'token-based pricing model' and 'clear and fair token usage plans' in a testimonial, but specific tier costs, free trial limits, and plan comparisons are not disclosed.
Who is this for?
Full-stack and frontend developers seeking autonomous AI coding assistance; teams with 4,000+ enterprise deployments; developers already using JetBrains IDEs; startups and agencies building rapidly with minimal manual boilerplate; tech-forward teams comfortable with AI auto-execution of code changes.