The Impact of Generative AI on Modern Software Development: Revolutionizing the Development Lifecycle

This comprehensive article explores the transformative impact of Generative Artificial Intelligence (GenAI) on software development practices. The article examines how GenAI is revolutionizing various aspects of the development lifecycle, from code generation and testing to team collaboration and ethical considerations. The article analyzes the emergence of AI-powered development tools, their impact on workflow automation, and the democratization of software development. It also addresses the challenges and implications for workforce evolution, emphasizing the importance of ethical considerations in AI implementation. Through this article current trends and future projections, the article provides insights into how organizations can effectively integrate GenAI while maintaining high standards of quality and ethical responsibility in software development.

Authors

Institutions

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-02-10
DOI
https://doi.org/10.32628/cseit251112219
Citations
1
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
4.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Generative AI on Modern Software Development: Revolutionizing the Development Lifecycle

Tejeswar Reddy Velpucharla
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Scientific Computing and Data Management
4.17
article

The Impact of Generative AI on Modern Software Development: Revolutionizing the Development Lifecycle

Tejeswar Reddy Velpucharla
article en
1 citations

Abstract

This comprehensive article explores the transformative impact of Generative Artificial Intelligence (GenAI) on software development practices. The article examines how GenAI is revolutionizing various aspects of the development lifecycle, from code generation and testing to team collaboration and ethical considerations. The article analyzes the emergence of AI-powered development tools, their impact on workflow automation, and the democratization of software development. It also addresses the challenges and implications for workforce evolution, emphasizing the importance of ethical considerations in AI implementation. Through this article current trends and future projections, the article provides insights into how organizations can effectively integrate GenAI while maintaining high standards of quality and ethical responsibility in software development.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(1)
Edenspace Systems (United States) (US)
Openalex Percentile: Top 7%
Scientific Computing and Data Management
4.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Impact of Generative AI on Modern Software Development: Revolutionizing the Development Lifecycle — Tejeswar Reddy Velpucharla · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS