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An overview of bringing AI into Linux-based CI/CD to ship software faster and safer. It covers AI-driven code review, smart test selection/generation, flaky-test and anomaly detection, predictive failure alerts, automated rollbacks, and resource optimization. The piece shares integration patterns and best practices, with emphasis on security, observability, and human-in-the-loop controls.