
The traditional boundary between human intervention and automated execution has blurred into a seamless environment where systems now anticipate failure before a single line of telemetry reaches a dashboard. In the current landscape of software engineering, the transition toward AI-native DevOps is no longer a peripheral experiment but the central driver of operational excellence. As microservices architectures continue to grow










