| What it does | Open source code review inside your coding agent before you push
| The AI Reliability Platform
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| Stage | Startup
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| Founded | 2024
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| Based in | US
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| Pricing model | Open source
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| Pricing | Free. Open source under Apache 2.0 license.
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| Key features | - 22 built-in scanners for secrets, security, dependencies and lint errors
- Code graph showing callers and importers of changed code
- Separate reviewer process using Claude Code or Codex
- Script-based validation of review completeness
- Works with Claude Code, Cursor, Codex and Cline
- Terminal, agent and CI integration
- GitHub Action for pull request reviews
- Pre-commit and pre-push hooks
- Custom scanner configuration from GitHub
- No telemetry or data collection
| - Synthetic data generation for fine-tuning and distillation
- Dynamic evaluation datasets for edge cases
- Runtime guardrails for policy enforcement
- Hallucination detection
- Data leakage prevention
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| What makes it different | - No API key, account or server required - runs entirely on your local machine
- Separate reviewer process with no memory of the coding session that produced the code
- Open source Apache 2.0 license with full transparency
- Integrated directly into coding agents without additional configuration
- Findings only on changed lines, not whole repository
| - Realistic synthetic personas and datasets for evaluation
- Covers entire AI lifecycle from training to production
- Works across any LLM and deployment environment
- Blocks bad outputs before users encounter them
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 41 ● no change since last check | 65 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 17 |
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| Citation Flow (Majestic) | 22 | 41 |
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| Referring domains (Majestic) | 316 | 1251 |
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Guardrails AI