| What it does | AI DevOps Agent for GitHub Actions that detects, analyzes, and fixes CI pipeline issues
| AI debugging for modern engineering teams
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | US
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Essential: $8 per committer per month (billed annually) or $12 on-demand. Enterprise: custom pricing. Free trial available for 14 days with no credit card required.
| Free Trial: 3 bug fixes per month. Pro: $33/month for 15 bug fixes per month (or $24.75/month billed as $297/year with annual discount). Super User: $60/month for 30 bug fixes per month (or $45/month billed as $540/year with annual discount). Enterprise: Custom pricing with custom bug fix volume.
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| Key features | - AI DevOps Assistant for conversational CI workflow queries
- AI-Powered Pipeline Fixes for automatic failure detection and remediation
- CubeScore™ with North Star Metrics tracking MTTR, Success Rate, Throughput, and Duration
- Real-time monitoring and alerts
- Weekly email CI reports and insights
- Actionable insights to address pipeline issues
- Cost tracking and optimization with granular visibility
- Secure read-only GitHub Actions integration
| - Automated alert triage from monitoring stack
- Root cause analysis across distributed systems
- Issue reproduction in controlled environment
- Validated fix generation with test cases
- VS Code extension for local debugging
- GitHub App for automated analysis
- Self-hosted deployment option
- Integration with logs, traces, metrics and alerts
- Visible reasoning chain for every fix
- Triage sessions shareable and reloadable
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| What makes it different | - First AI DevOps Agent specifically built for GitHub Actions
- Quantifies hidden CI costs from context switching
- AI-powered root cause analysis and intelligent fixes
- Conversational AI interface for CI data queries
- CubeScore™ metric system for CI lifecycle evaluation
| - Validation-first approach with reproduction tests and regression verification
- Built specifically for debugging existing bugs, not writing new code
- Handles complex distributed systems with stateful, auditable workflows
- No hard upper limit on context, processes automated log and trace ingestion
- Local deployment keeps code on user's machine
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 27 ● no change since last check | 36 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 32 | 13 |
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| Referring domains (Majestic) | 113 | 73 |
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CICube
FixBugs