| What it does | Autonomous AI software engineer that connects to GitHub to resolve issues and ship pull requests
| 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 | US
| NL
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| 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 | - GitHub integration for issue assignment and pull request automation
- Evidence-backed pull requests with test results and recordings
- Automated bug reproduction and verification
- Dedicated computer environment per session
- Mobile access to monitor tasks
- Cloud and local runtime options
- Test automation and code verification
| - 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 | - Evidence-based code changes with recorded proof of testing and verification
- 22% more cost efficient than competitor models
- Opinionated architecture that improves the entire development loop
- Built for trust with real repositories and careful verification
- Maintains human judgment while automating mechanical coding tasks
| - 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 |
| DR (Domain Rating by Ahrefs) | 30 ▲ +1 (up) since last check | 6 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 10 | 1 |
| Citation Flow (Majestic) | 34 | 29 |
| Referring domains (Majestic) | 245 | 53 |