European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Generative AI in Cloud-Native Development: Automating Code, Configs, and Deployment

Abstract

Generative AI is transforming cloud-native development through sophisticated automation capabilities across the software engineering lifecycle. By leveraging large language models and AI-powered tools, organizations can accelerate infrastructure provisioning, optimize application configurations, and enhance deployment reliability. This article explores how AI technologies are revolutionizing code generation, configuration management, and deployment orchestration in cloud environments. The integration of natural language processing, code understanding, and pattern recognition capabilities enables context-aware automation that reduces manual effort while improving system quality. Through examination of implementation patterns across financial services, e-commerce, healthcare, and telecommunications sectors, the article demonstrates how AI-powered cloud development delivers tangible business value through enhanced operational efficiency, accelerated innovation cycles, and improved system resilience.

Keywords: AI-driven development, cloud-native transformation, configuration optimization, deployment orchestration, infrastructure automation

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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