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In the changing era of software development, Artificial Intelligence (AI) integration has become a disruptive trend, especially in the areas of software development. This paper focused on addressing existing gaps in understanding the impact of GenAI in DevOps CI/CD pipelines, the goal of this research is to fulfill the gap by investigating the potential of GenAI and evaluating the broader impact of AI techniques on CI/CD, in order to improve the effectiveness, speed, and quality of process related to development of software. Continuous Integration ensures the instant integration of any changes made to code into a shared repository whereas Continuous Delivery speeds up the delivery lifecycle, minimizes manual intervention, and automates the deployment of software to production environment.The methodology is to identify and analyze the current landscape of AI-powered DevOps tools, further investigate different AI techniques which can be applied to CI/CD pipelines, and then evaluating the impact of AI on CI/CD efficiency and effectiveness. The research use both qualitative and quantitative approaches, by a questionnaire-based survey to collect data from industry professionals.The findings shows that even if CI/CD pipelines have advancement, problems still exist, requiring the use of GenAI to achieve more benefits. GenAI emerges as a shifting technology, parallelly responsible AI is needed to address ethical concerns for AI decision-making. This research will be beneficial for software developers, DevOps teams, and organizations who wants to enhance the reliability, and ethical dimensions of their CI/CD processes. By addressing existing gaps and understanding the potential of AI in DevOps, this research contributes to both developments in theory and real-world applications in the rapidly evolving field of software development.
Sharma et al. (Wed,) studied this question.