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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.

Kiro AI logo
Kiro AI
✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo
Magic Patterns logo
Magic Patterns
✓ verifiedFreemium

AI prototyping tool that generates UI matching your design system, letting product teams test features fast.

242K visits/mo3.8K saves
Cosine logo
Cosine
✓ verifiedPaid

Cosine builds Lumen, code-specialist AI models you can deploy where your data lives for secure, sovereign coding.

31K visits/mo
Pricing

No public pricing

Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)

No public pricing

Starter: $19/mo (4M credits)
Team: $199/mo (47M credits)
Enterprise: $999/mo (240M credits)
Core features
  • CSV to API conversion
  • Data parsing (CSV to JSON)
  • Filtering capabilities
  • Spec-driven development (requirements, design, tasks)
  • Parallel agents, local or cloud
  • Property-based and correctness testing
  • Works in IDE, CLI, web and mobile
  • Multiple models (Claude, open-weight, Auto)
  • Headless CLI for CI/CD
  • Context from tools like Figma and Terraform
  • AI UI generation from prompts
  • Match existing styling and design systems
  • Rapid, high-fidelity prototyping
  • Live team editing and sharing
  • Enterprise security and compliance
  • Lumen code-specialist models (Scout, Outpost, Sovereign)
  • Deployable on-prem, air-gapped or sovereign
  • Coding agent, CLI and cloud surfaces
  • Benchmarked on cost-per-successful-task
  • Support for niche programming languages
Use cases
  • Sharing CSV data with a team via an API
  • Creating a public API from CSV data
  • Filtering and accessing specific data within a CSV file programmatically
  • Turning prompts into maintainable, spec-matched code
  • Catching bugs unit tests miss
  • Reviewing PRs and fixing bugs in CI/CD
  • Prototype new product features
  • Test designs with customers
  • Build design-system-consistent mockups
  • Automating software development tasks
  • Secure, sovereign or air-gapped AI coding
  • Working with niche programming languages
  • Cybersecurity and red-team code work
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