| What it does | AI design engineer for building production-ready frontend
| An agentic engineering platform that takes assigned issues to reviewed, tested pull requests
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| NL
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| Pricing model | Not given
| Freemium
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| Pricing | Free: 300 credits per month (150 on sign-up, 50 daily); Pro: $20/month with 2,000 credits per month; Team: $40/user/month; Enterprise: Custom pricing
| Free: 3 credits when you connect your first repository. Credit packs: 10 credits for $49, 50 credits for $199, 100 credits for $349 (one-time purchases, credits never expire). Starter plan: $170/month for 50 credits plus 5 agents at once. Scale plan: $480/month for 160 credits plus 8 agents at once.
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| Key features | - Context Graphs for semantic code understanding and component reuse
- Best practices for 400+ frontend libraries and frameworks
- Native Figma integration with design parsing
- Plan and Debug modes for complex features
- Browser-based testing and UI refinement
- Skills library for frontend development tasks
- Terminal access and autonomous command execution
- MCP server integration and parallel agent runs
- Support for multiple AI models with auto-routing
| - Planner agent creates implementation and testing specs from tickets and docs
- Builder agent writes code, runs formatters, linters, type checks and tests in sandbox
- Reviewer agent validates code against plan and project guidelines
- Tester agent runs deployment pipeline and validates acceptance criteria
- Real-time mission monitoring with cost attribution per stage
- Configure different agents and models per role
- Integrates with Linear, Jira, GitHub Issues or CLI
- Human checkpoints to pause pipeline at any stage
- Zero-trust security with encrypted credentials never entering sandbox
- Scheduled maintenance tasks with auto-merge option
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| What makes it different | - Handles frontend-specific complexity that general-purpose agents struggle with
- Understands and reuses existing code through semantic Context Graphs
- Integrated design-to-code workflow with Figma parsing
- Can test and refine code in a real browser environment
- Works within existing developer workflows and tech stacks
| - Only platform where all agents review and test before person reads PR
- Mix agents and models by role for cost and quality optimization
- Bring your own AI provider contracts and run inference on your accounts
- Works with existing tools, repositories and CI/CD pipelines
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 48 ▲ +1 (up) since last check | 6 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 8 | 1 |
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| Citation Flow (Majestic) | 38 | 29 |
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| Referring domains (Majestic) | 659 | 53 |
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Kombai
SHIP