Accelerating Product Innovation: Impact of Serverless Computing and Generative AI on Application Development

This research explores the integration of serverless computing and Generative AI in modern application development, highlighting the potential benefits of this convergence. Serverless computing offers scalability and cost efficiency by abstracting infrastructure management, while Generative AI, exemplified by tools like GPT-4, enhances productivity by assisting in ideation, prototyping, and code generation. The study compares two applications of similar complexity—one developed traditionally and the other using these technologies. The results indicate a significant reduction in development time, improved efficiency, and automatic scalability in the AI-assisted application. Challenges such as low-fidelity wireframes and occasional buggy code generation were identified, underscoring the need for further AI advancements. Overall, the combination of serverless computing and Generative AI shows great promise in transforming application development, fostering innovation, and optimizing resource use.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/uemcon62879.2024.10754724
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Accelerating Product Innovation: Impact of Serverless Computing and Generative AI on Application Development

Sriram Panyam, Praveen Gujar, Gunjan Paliwal, Anujkumarsinh Donvir
1 citations
Big Data and Business Intelligence
0.53
article

Accelerating Product Innovation: Impact of Serverless Computing and Generative AI on Application Development

Sriram Panyam, Praveen Gujar, Gunjan Paliwal, Anujkumarsinh Donvir
article en
1 citations

Abstract

This research explores the integration of serverless computing and Generative AI in modern application development, highlighting the potential benefits of this convergence. Serverless computing offers scalability and cost efficiency by abstracting infrastructure management, while Generative AI, exemplified by tools like GPT-4, enhances productivity by assisting in ideation, prototyping, and code generation. The study compares two applications of similar complexity—one developed traditionally and the other using these technologies. The results indicate a significant reduction in development time, improved efficiency, and automatic scalability in the AI-assisted application. Challenges such as low-fidelity wireframes and occasional buggy code generation were identified, underscoring the need for further AI advancements. Overall, the combination of serverless computing and Generative AI shows great promise in transforming application development, fostering innovation, and optimizing resource use.

Seattle University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Big Data and Business Intelligence
0.53
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