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

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.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-05-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n38145156
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Srikanth Vissarapu
European Journal of Computer Science and Information Technology
Cloud Computing and Resource Management
article

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

Srikanth Vissarapu
article en

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.

European Journal of Computer Science and Information TechnologyVol. 13(38)
Metrica (United States) (US), Metacomp Technologies (United States) (US)
Openalex Percentile: Top 81%
Cloud Computing and Resource Management
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