Authors: Olivia Parker, Rebecca Turner, Samantha Green, Katherine Lewis, Chaitanya Srinivas, Akhilesh Achari
Abstract: The emergence of Generative Artificial Intelligence (Generative AI) is transforming software engineering practices by introducing intelligent automation across the software development lifecycle. In cloud computing environments, where applications must continuously evolve to meet dynamic scalability, performance, security, and reliability requirements, traditional software engineering approaches often face challenges related to complexity, resource management, and rapid deployment demands. This research explores the concept of Autonomous Cloud Software Engineering Through Generative AI Technologies, a framework that leverages advanced AI models to automate software design, code generation, testing, deployment, monitoring, maintenance, and optimization processes within cloud platforms. By integrating large language models, machine learning algorithms, cloud-native architectures, and DevOps practices, the proposed approach enables intelligent decision-making, self-adaptive system behavior, and continuous software improvement with minimal human intervention. The framework facilitates automated requirement analysis, intelligent code synthesis, predictive defect detection, infrastructure optimization, and autonomous operational management, thereby enhancing development productivity and software quality. Furthermore, Generative AI-driven automation supports rapid innovation, reduces development costs, accelerates release cycles, and improves system resilience in highly distributed cloud environments. The study examines the architectural components, enabling technologies, implementation strategies, benefits, and challenges associated with autonomous cloud software engineering and highlights its potential to redefine the future of intelligent software development. The findings suggest that the convergence of Generative AI and cloud computing establishes a robust foundation for creating adaptive, scalable, and self-managing software ecosystems capable of meeting the evolving demands of modern digital enterprises.
DOI: http://doi.org/10.5281/zenodo.20797458
