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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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✕
Kiro AI
✓ verifiedFreemium
Kiro spec-driven AI IDE from prototype to production; notable AWS-backed dev product.
👁 3.8M/mo
✕
DeepSeek V4
✓ verifiedFree
DeepSeek's official domain and foundation-model line; major AI lab.
👁 430M/mo
Pricing
Community: Free
Professional: $36
Team: $75
Enterprise: Custom
Freelance Hires: $15 - $110+
Full-time Hires: 20% of the annual salary
No public pricing
Free trial available
KIRO FREE: $0 /mo. per user
KIRO PRO: $19 /mo. per user
KIRO PRO+: $39 /mo. per user
No public pricing
Core features
- ✦Notebooks for analysis and modeling
- ✦App Builder for interactive visualizations
- ✦AI-powered assistance for query generation and code writing
- ✦Collaboration and sharing tools
- ✦Integration with data warehouses and other tools
- ✦AI-powered candidate matching
- ✦Vetted remote talent pool
- ✦Freelance and full-time hiring options
- ✦Global reach (190 countries)
- ✦Secure payments and compliant global hires
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
- ✦AI IDE for prototype to production
- ✦Spec-driven development
- ✦Agent hooks for task automation (e.g., generating documentation, unit tests, code optimization)
- ✦Multimodal chat
- ✦Model Context Protocol (MCP) integration for connecting to docs, databases, APIs
- ✦Autopilot mode for autonomous execution of large tasks
- ✦Configurable agent interaction via steering files
- ✦Support for state-of-the-art AI models (Claude Sonnet 3.7, Sonnet 4)
- ✦VS Code compatibility (Open VSX plugins, themes, settings)
- ✦Image input for UI design or architecture guidance
- ✦General large language models (LLM)
- ✦Code generation models
- ✦Mixture of Experts (MoE) models
- ✦API access to models
- ✦Context Caching
Use cases
- →Exploratory analysis
- →Data science
- →Operational reporting
- →Self-serve data tools
- →Hiring a remote full-stack developer for a web application project.
- →Finding a freelance UX designer to improve user experience.
- →Scaling a marketing team with remote content writers and SEO specialists.
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
- →Building secure file sharing applications from scratch quickly.
- →Creating games without extensive manual coding.
- →Accelerating development from concept to working prototype in a short timeframe (e.g., a weekend).
- →Generating detailed user stories and capturing requirements like a product manager.
- →Automating routine development tasks such as documentation generation, unit testing, and code performance optimization.
- →Implementing complex features on larger codebases with fewer prompts and less repetition.
- →Chatbots and conversational AI
- →Code completion and generation
- →Reasoning and problem-solving
- →Text generation and summarization
- →Mathematical problem solving
- →Search
- →Writing
- →Reading
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