AI-Generated code for cloud devOps: Automating infrastructure as code

Talati, Dhruvitkumar V. (2025) AI-Generated code for cloud devOps: Automating infrastructure as code. International Journal of Science and Research Archive, 14 (3). pp. 339-345. ISSN 2582-8185

The adoption of cloud computing and DevOps practices has transformed the IT landscape, enabling organizations to rapidly deploy and manage their infrastructure. This paper explores the role of AI-generated code in automating the Infrastructure as Code process, which is a critical component of the DevOps approach. Through an analysis of the latest research, this paper discusses the benefits of AI-powered automation, the challenges in implementing it, and the future implications for the IT industry. The findings suggest that AI-generated code can significantly improve the efficiency, consistency, and security of cloud infrastructure deployment, aligning with the principles of the DevSecOps paradigm. The relentless pursuit of efficiency and speed in software delivery has led to the widespread adoption of DevOps, a methodology that emphasizes collaboration, automation, and continuous improvement. Furthermore, as computers can only handle a limited amount of information at any given time, artificial intelligence has become the solution that can be used to store, process, and analyze large amounts of data, which is crucial for the success of DevOps initiatives.