React-Nex – A Modular Component Library with AI-Driven Code Generation

React-Nex is a modular and efficient NPM package designed to streamline the development process by enabling selective installation of only the necessary components. The project comprises three main repositories: a components repository, a documentation website, and a core repository. The documentation website not only provides instructions for using the components but also features an AI-driven code generation system. This system leverages Retrieval-Augmented Generation (RAG) to dynamically generate and modify component code based on user prompts. The component codes are stored as vector embeddings in a vector database, enabling efficient retrieval and customization. This paper outlines the architecture, functionality, and implementation details of React-Nex, highlighting its innovative approach to modular development and AI-assisted code generation. Keywords: Modular Component Library, React-Nex, AI-Driven Code Generation, Selective Installation, Web Development, NPM Package, Pre-built UI Elements, Code Embeddings.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-13
DOI
https://doi.org/10.55041/ijsrem44477
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

React-Nex – A Modular Component Library with AI-Driven Code Generation

Sanjeev J. Wagh, Smit Vadhel
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Modular Robots and Swarm Intelligence
article

React-Nex – A Modular Component Library with AI-Driven Code Generation

Sanjeev J. Wagh, Smit Vadhel
article en

Abstract

React-Nex is a modular and efficient NPM package designed to streamline the development process by enabling selective installation of only the necessary components. The project comprises three main repositories: a components repository, a documentation website, and a core repository. The documentation website not only provides instructions for using the components but also features an AI-driven code generation system. This system leverages Retrieval-Augmented Generation (RAG) to dynamically generate and modify component code based on user prompts. The component codes are stored as vector embeddings in a vector database, enabling efficient retrieval and customization. This paper outlines the architecture, functionality, and implementation details of React-Nex, highlighting its innovative approach to modular development and AI-assisted code generation. Keywords: Modular Component Library, React-Nex, AI-Driven Code Generation, Selective Installation, Web Development, NPM Package, Pre-built UI Elements, Code Embeddings.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 93%
Modular Robots and Swarm Intelligence
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React-Nex – A Modular Component Library with AI-Driven Code Generation — Sanjeev J. Wagh, Smit Vadhel · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS