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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 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
CatDoes logo
CatDoes
✓ verifiedFreemium

Describe an app or site in plain language and an autonomous AI agent codes, tests, and ships it for iOS, Android, or web.

57K visits/mo10K saves
Airbyte logo
Airbyte
✓ verifiedFreemium

Open-source data-movement platform now adding a context/action layer for AI agents; 600+ connectors and flexible pricing.

222K 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)
Free: $0 (25 starting credits)
Paid plans from $20/mo
Agents Free: $0/mo (1000 AOs)
Agents Individual: $29/mo (5000 AOs)
Agents Team: $299/mo (10,000 AOs)
Data Standard: from $10/mo
Data Plus: from $500/mo
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
  • Autonomous AI agent that builds and ships apps
  • iOS, Android, and web output
  • Built-in CatDoes Cloud backend
  • Full code editing and export
  • GitHub import and error monitoring
  • 600+ data connectors
  • ELT replication and CDC
  • Open-source and managed cloud options
  • Airbyte Agents context store (MCP/SDK/CLI)
  • Capacity- and volume-based pricing
  • Governance: SSO, RBAC, encryption
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
  • Turn an idea into a shippable app without coding
  • Convert an existing website into a mobile app
  • Prototype and launch internal or customer-facing tools
  • Building data pipelines to warehouses
  • Syncing SaaS data for analytics
  • Giving AI agents live business context
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