Claude-Code

Agentic ChatOps triages infrastructure alerts and predicts the consequences of each proposed fix before it acts — auto-resolving only the remediations a causal world-model can prove safe, behind a fail-closed, machine-verified prediction gate. Agentic ChatOps is a production system run by one person across 300+ infrastructure objects and five sites. Three AI subsystems triage alerts, investigate root causes, and propose fixes; a human approves every change. Two parts make it genuinely novel. First, a causal world-model of the infrastructure — a dependency graph that predicts the consequences of a proposed action before it can be approved, then verifies the outcome against that prediction in code. No remediation reaches a human’s approval without a machine-computed prediction attached, and the operator stays ring 0. Second, the whole agentic federation now runs under a self-governing control plane: a self-monitoring layer that inventories every moving part as a component with declared liveness and pages me the moment one goes dark, plus a Kubernetes-style self-healing controller that keeps the platform alive — reactivating dropped workflows, re-running failed jobs, restarting the scheduler — while never touching the mission decisions that stay behind the human gate. ...