| What it does | An AI debug engineer that finds why code failed and opens a pull request for you to review
| The model training platform for AI teams
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Free trial
| Freemium
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| Pricing | Pro: $39 per project per month (100 investigations, 5 pull requests per month, 1 million events per month, 30 days history, 1 repository, 3 members). Team: $149 per project per month (1,000 investigations, 20 pull requests per month, 10 million events per month, 90 days history, unlimited repositori
| Free: $0/month with $50 in credits once, 1 seat per project, every feature, console, CLI and MCP server, community Discord support. Pro: $120/month with $120 in credits every month, unlimited seats, priority support. Enterprise: Custom pricing, contact for details.
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| Key features | - Session replay of customer visits with all clicks, requests and errors on one page
- Automatic root cause analysis identifying the exact line of code that failed
- Automatic pull request generation with proposed fixes ready for review
- Support for React, Next.js, Vue, Nuxt, SvelteKit, Angular, Express, NestJS, Fastify, FastAPI, Django, Go and more
- OpenTelemetry integration for Java, .NET, Ruby and PHP
- Grouping of the same bug across multiple users with affected user count
- Privacy protection removing passwords, card numbers and API keys before sending
- Investigation reports with confidence levels and evidence citations
- Live demo with real shop and real failures without account required
| - OpenTelemetry agent tracing and trace import from Langfuse, LangSmith, Braintrust and Galileo
- Generated evals and Agent Optimizer runs that return scored code diffs
- Data Workshop with dataset preparation and quality checks
- Model training with recommended settings for LoRA or full fine-tuning
- Benchmarks against your current model on the same eval set
- Hosted OpenAI-compatible inference and downloadable model weights
- Console, CLI and MCP server access
- OpenAI-compatible API for trained models
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| What makes it different | - Reduces small bug debugging from ~4 hours to one pull request review
- Every fix is a pull request on its own branch with no automatic merging
- Analyzes the exact version of code that was live, not your current branch
- SDK and server are open source under Apache 2.0 license
- Self-hosting coming soon for teams preferring on-premise deployment
| - Own your trained models with downloadable weights and checkpoints
- Zero third-party training with data never leaving your pipeline
- Open source and self-hostable with Docker Compose
- Built by security and defense intelligence pioneers
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▲ +3 (up) since last check | 44 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 10 |
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| Citation Flow (Majestic) | 18 | 35 |
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| Referring domains (Majestic) | 6 | 201 |
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Bugwalk
Overmind