Democratizing Software Engineering through Generative AI and Vibe Coding: The Evolution of No-Code Development

The integration of generative artificial intelligence (AI) into software development processes represents a paradigm shift in how individuals interact with technology creation tools. This article examines the emergence of intuitive programming approaches colloquially termed "vibe coding" alongside traditional no-code and low code platforms, analyzing their combined potential to democratize software engineering practices. Through systematic analysis of current research, It identifies key technological frameworks, implementation challenges, and potential socioeconomic implications of AI-assisted development environments. The article findings suggest that generative AI fundamentally transforms the accessibility paradigm by bridging natural language expression with functional software creation, potentially reducing traditional barriers to entry while introducing new considerations regarding technical depth, sustainability, and equity in software production ecosystems.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-17
DOI
https://doi.org/10.32996/jcsts.2025.7.4.66
Citations
4
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
2.85
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article

Democratizing Software Engineering through Generative AI and Vibe Coding: The Evolution of No-Code Development

Akhilesh Gadde
4 citations
Journal of Computer Science and Technology Studies
Modular Robots and Swarm Intelligence
2.85
article

Democratizing Software Engineering through Generative AI and Vibe Coding: The Evolution of No-Code Development

Akhilesh Gadde
article en
4 citations

Abstract

The integration of generative artificial intelligence (AI) into software development processes represents a paradigm shift in how individuals interact with technology creation tools. This article examines the emergence of intuitive programming approaches colloquially termed "vibe coding" alongside traditional no-code and low code platforms, analyzing their combined potential to democratize software engineering practices. Through systematic analysis of current research, It identifies key technological frameworks, implementation challenges, and potential socioeconomic implications of AI-assisted development environments. The article findings suggest that generative AI fundamentally transforms the accessibility paradigm by bridging natural language expression with functional software creation, potentially reducing traditional barriers to entry while introducing new considerations regarding technical depth, sustainability, and equity in software production ecosystems.

Journal of Computer Science and Technology StudiesVol. 7(4)
Stony Brook University (US)
Openalex Percentile: Top 10%
Modular Robots and Swarm Intelligence
2.85
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