3 steps to escaping the “break-fix” trap

AI-accelerated development is creating more code deployments and more potential failures, pushing operations teams into a reactive 'break-fix' cycle of constant firefighting. Three strategies are proposed to escape this trap: shifting from manual triage to event-driven suppression using automated runbooks and ML-driven orchestration rules; automating incident response to protect release cadence and enable smaller, more frequent deployments; and offloading repetitive 'toil' to AI agents to reduce burnout and retain senior engineering talent. The core argument is that the same AI driving development complexity can be applied to operations to absorb the resulting incident load.