| What it does | An agentic engineering platform that takes assigned issues to reviewed, tested pull requests
| Memory, rules and git blame for your coding agents
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| Stage | Startup
| Startup
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| Founded | 2026
| Not given
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| Based in | NL
| DE
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| Pricing model | Freemium
| Freemium
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| 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.
| Free for personal use with all features; Team plan $20 per active seat per month, billed yearly (minimum 3 seats). First 10 teams pay $10 per active seat for 12 months.
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| Key features | - 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
| - Session storage with secret redaction on local machine before upload
- Git blame integration showing which agent session wrote each code line
- Memory across agents allowing pickup of previous work
- Handoff between agents when Claude hits token limits
- Rules from corrections that persist across all agent sessions
- Session condensing showing only key moments and code
- Team rules reviewed like pull requests before reaching agents
- Team memory persisting when members leave
- Session attribution on pull requests showing which commits came from sessions
- MCP server for agents to search and learn from shared sessions
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| What makes it different | - 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
| - Real sessions only, no fabricated runs, showing actual agent failures and interventions
- Secrets redacted on your machine before any data leaves, with server-side verification
- Open source MIT plugin with full control over your data
- Works with five different coding agents from one plugin
- Team data stays on your own PostgreSQL server if you choose
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ▼ −1 (down) since last check | 10 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 2 |
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| Citation Flow (Majestic) | 29 | 35 |
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| Referring domains (Majestic) | 53 | 10 |
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