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Software delivery is undergoing a fundamental transformation. As systems grow more complex and deployment cycles accelerate, traditional DevOps practices are reaching their limits. The next evolution—Cognitive DevOps—integrates artificial intelligence, machine learning, and large language models (LLMs) to create intelligent, predictive, and self-optimizing software delivery pipelines.
This book provides a comprehensive guide to building AI-augmented DevOps systems, enabling organizations to move beyond automation toward autonomous decision-making in software engineering.
Beginning with the evolution of software engineering and DevOps, the book introduces the concept of Cognitive DevOps and explores how AI can enhance every stage of the CI/CD lifecycle. It demonstrates how LLMs are transforming development workflows—from code understanding and generation to automated code reviews and intelligent feedback systems.
Key highlights include:
With a strong focus on real-world applications, predictive intelligence, and AI integration, this book bridges the gap between software engineering, DevOps practices, and modern AI capabilities.
Ideal for:
This book equips readers with the knowledge and tools needed to design next-generation CI/CD pipelines that are intelligent, adaptive, and resilient by design.