AI-Driven DevOps Transformation: A Paradigm Shift in Software Development

Software development has undergone a paradigm change with the introduction of Artificial Intelligence (AI) into DevOps processes. This study examines the complex effects of AI on every stage of the software development lifecycle, from the creation of the code to its deployment and use. Through the viewpoint of “The Intelligent Evolution of Coding,” we explore how productivity benefits, traditional coding habits are being reshaped, and software is being strengthened against security risks thanks to AI-driven code creation and analysis. After that, the story switches to the revolutionary trip “From CI/CD to Autonomous Pipelines,” explaining how AI is streamlining software releases, improving pipelines for continuous integration and deployment, and encouraging development and operations teams to work together more effectively. The paper highlights the symbiotic connection that characterizes the future of software development by emphasizing the dynamic partnership between human knowledge and machine intelligence throughout this research. To fully realize the promise of AI-driven DevOps, businesses must negotiate this disruptive environment with careful attention to ethical implementation, workforce upskilling, and the development of learning ecosystems. In the end, the study imagines a world in which technological advancements enhance human potential, stimulating creativity, resiliency, and flexibility in the dynamic field of software development.