AI in DevOps is moving from assistance → autonomy. Current real use cases: • Log anomaly detection • Predictive failure alerts • Auto-remediation scripts • Pipeline optimization • Cost optimization insights But companies still require: Human validation Policy governance Risk approval Incident ownership AI accelerates execution. Humans retain accountability. Future DevOps engineers must learn: ➡️ How to work with AI, not compete with it. ai in devops (devops automation tools ai devops future, int
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