Advancing Software Development through Generative AI Revolutionizing Cloud-Based Solutions for Scalable and Efficient Applications

Authors

  • Rakesh Kumar Mali

Keywords:

Generative AI, Software Development, Cloud Solutions, Scalability, Code Automation.

Abstract

Generative AI has evolved at lightning pace, making huge waves in a number of industries, but particularly software development and cloud-based solutions. This paper describes the impact Generative AI makes on the next level of software development by skipping rewriting code,improving debugging, and creating adaptative architectures for scalable and effective cloud apps. To help in this, developers can use large language models and deep learning techniques to generate valid code snippets, predict system failures, and reduce resource usage in cloud with intelligent optimizations.

References

Zhang, L., Zhang, Y., & Wang, X. (2020). Generative deep learning models for software engineering tasks. International Journal of Software Engineering and Knowledge Engineering, https://doi.org/10.1142/S0218194020500303 30(8), 1167-1187.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. In Advances in Neural Information Processing Systems (NeurIPS) (pp. 5998-6008).

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Published

2024-12-22

How to Cite

Rakesh Kumar Mali. (2024). Advancing Software Development through Generative AI Revolutionizing Cloud-Based Solutions for Scalable and Efficient Applications. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2692–2709. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2190

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