GhostMachine is an autonomous Site Reliability Engineering (SRE) orchestrator. When the target application crashes, it ingests the OpenTelemetry trace, synthesizes a reproduction test, drafts a patch via LLM, statically analyzes it for security, and ships a verified Pull Request to GitHub in under 90 seconds.
GhostMachine is an autonomous Site Reliability Engineering (SRE) system designed to detect, diagnose, and remediate production faults in real-time. It acts as an AI-driven control plane that continuously monitors your infrastructure for errors.
When an application crashes, GhostMachine instantly receives the OpenTelemetry trace and gets to work. It synthesizes a failing reproduction test, drafts a patch using advanced language models, verifies the fix in an ephemeral sandbox, and automatically submits a verified Pull Request—all in under 90 seconds.
| Mean Time to Remediate | ~52s |
| Direct Inference Cost | $0.0235 |
| Sandbox Compute Cost | $0.0028 |
| Auto Remediation Cost | $0.0263 |
| Manual Labor Baseline | $42.50 |
| Net Operational Savings | +99.93% |
| Pass Rate (First Attempt) | 75% |
| AST Policy Violations | 0 (Blocked) |
GhostMachine is actively monitoring the Tim O'Hagan CMS. You can witness it in action by intentionally injecting faults and watching the autonomous remediation process in real-time.
LAUNCH CHAOS INJECTION