The future of software development: integrating AI and machine learning into front-end technologies
1 Shoprite Cape Town, South Africa.
2 Independent Researcher, Dallas Texas, USA.
3 School of Computer Science, Cyber Technology Institute, De Montfort University, UK.
Review
Global Journal of Advanced Research and Reviews, 2024, 02(01), 069–077.
Article DOI: 10.58175/gjarr.2024.2.1.0031
Publication history:
Received on 24 July 2024; revised on 31 August 2024; accepted on 03 September 2024
Abstract:
This paper explores the integration of artificial intelligence (AI) and machine learning into front-end development, highlighting the transformative potential these technologies hold for the future of software development. By automating routine tasks, enhancing predictive capabilities, and improving user engagement, AI and machine learning are set to revolutionize how digital applications are created and experienced. However, this integration is accompanied by significant technical challenges, including the complexity of AI systems, performance concerns, and ethical issues such as data privacy and bias. The paper also discusses current applications and emerging trends in AI-powered front-end technologies, providing a comprehensive overview of the benefits and obstacles. It emphasizes the importance of ongoing research, innovation, and ethical considerations in maintaining the U.S. tech sector's competitive edge in this rapidly evolving field. The findings suggest that while AI and machine learning offer substantial opportunities for innovation, careful implementation is essential to ensure these technologies contribute positively to the future of software development.
Keywords:
Artificial Intelligence; Machine Learning; Front-end Development; Automation; User Engagement; Ethical Considerations
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0