Compare Kiro vs Windsurf

Both tools in AI Coding

Kiro

AI CodingFreemium

Agentic AI IDE by Amazon with spec-driven development, structured requirements, agent hooks, and CLI support for building production-quality software.

0 upvotesadvanced

Windsurf

AI CodingFreemium

AI-powered code editor with Cascade agent, memory, and MCP support, trusted by 1M+ developers to write 94% of their code with AI assistance.

0 upvotesintermediate
Pricing

Pricing Comparison

KiroKiro
Free$0

50 credits/month, basic spec and chat features, standard models

Pro$19/mo

1,000 credits/month, all spec features, autopilot, agent hooks, MCP

Pro Plus$40/mo

2,000 credits/month, priority queue, advanced models

Power$200/mo

10,000 credits/month, maximum concurrency, enterprise features

WindsurfWindsurf
Free$0

Light usage quota, tab completions, Cascade chat, previews and deploys

Pro$20/mo

Standard daily quota, all models, priority support, Turbo mode

Max$200/mo

Maximum daily quota, highest-tier models, power user access

Teams$40/user/mo

Shared quota management, admin controls, team collaboration

Features

Feature Comparison

KiroKiro
Spec-driven DevelopmentEARS Notation RequirementsArchitecture GenerationTask DecompositionAutonomous Agent ExecutionAgent HooksEvent-triggered AutomationMCP IntegrationCLI 2.0 SupportHeadless CI/CDAutopilot ModeMultimodal ChatContext ManagementSteering FilesAdvanced Code NavigationBug Fix AutomationComplex Codebase SupportDocumentation GenerationUnit Test GenerationEnterprise Security
WindsurfWindsurf
Cascade AI AgentCodebase MemoryMCP Server SupportAuto Lint FixingTurbo ModeDrag and Drop Image InputTerminal Command ExecutionPlugin StoreMulti-model SupportContext-aware CompletionsTab AutocompleteLive PreviewsDeploy IntegrationTeam CollaborationEnterprise SSORules EngineContinue My WorkCodebase SearchMulti-file EditingCode Explanation
Fit

Best For & Not For

KiroKiro
✅ Best For
Professional developers building complex features on large codebases
Engineering teams needing structured, spec-driven AI development workflows
Developers who need explicit requirements and acceptance criteria before coding
Teams automating documentation and test generation on save events
DevOps engineers integrating AI into CI/CD pipelines via the CLI
Amazon AWS users wanting native cloud-integrated AI development
❌ Not For
Beginners wanting a simple no-setup AI coding assistant
Developers who prefer free-form conversational coding without structure
Teams needing lightweight credit-efficient tools for simple tasks
Users building small scripts or one-off automation without complex codebases
WindsurfWindsurf
✅ Best For
Full-stack developers building complex features across multiple files
Frontend developers converting designs to code using drag-and-drop
Teams needing AI that understands their full codebase context
Enterprises requiring secure, auditable AI coding with SSO
Developers who want an agentic AI that can execute autonomously
Solo founders building MVPs quickly with minimal boilerplate
❌ Not For
Developers needing a pure cloud-based IDE without a local install
Teams primarily working in JetBrains IDEs (Windsurf is VS Code based)
Users needing built-in design tools without MCP setup
Developers who prefer manual control over all code changes
Availability

Platform & Accessibility

KiroKiro
desktopapi
WindsurfWindsurf
desktop
Use & Audience

Tasks & Who It's For

Integrations

Integrations

KiroKiro
Development
GitHubAWSVS Code
Webhooks & API
MCP Servers
WindsurfWindsurf
Development
GitHubGitLabVS CodeOpen VSX Registry
Communication
Slack
Use Cases

Real-world Use Cases

KiroKiro
1
An engineering team uses Kiro's spec-driven mode to convert a product manager's feature brief into structured requirements, then agents implement the full feature autonomously
2
A developer sets up an agent hook that automatically generates JSDoc comments every time a new TypeScript function is saved
3
A DevOps engineer uses Kiro CLI in headless mode to auto-generate unit tests as part of a GitHub Actions CI/CD pipeline
WindsurfWindsurf
1
A solo developer uses Cascade to build an entire SaaS MVP with authentication, dashboard, and payment integration in a weekend by describing each feature in plain English
2
A frontend engineer drags a Figma screenshot into Cascade and gets matching React components with Tailwind CSS in seconds
3
An enterprise team connects their GitHub, Figma, and Stripe MCP servers to Windsurf, giving Cascade full context to make cross-service code changes
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