Evaluating the Role of AI Tools in Frontend Development for Improving Web Design Efficiency

Authors

  • Rameshwari Ganesh Mule Department of Computer Science, Sarhad College of Arts, Commerce and Science, Pune Author
  • Dr. Sonali Sagar Gholve Assistant Professor and Head, Department of Computer Science, Sarhad College of Arts, Commerce and Science, Pune Author

DOI:

https://doi.org/10.59828/ijercs.v2i1.10

Abstract

Frontend development has become an essential part of modern web application development because it directly affects how users experience a website. Artificial Intelligence (AI) tools have begun to play a useful role in frontend work in recent years. They assist developers create code more quickly, enhance design structure, minimise repetitive effort, and expedite debugging. These days, students and novices who wish to create more responsive and clean user interfaces are using these technologies in addition to seasoned developers.

This paper studies how AI tools are influencing frontend development and whether they actually improve web design efficiency. Common frontend tasks like component development, responsive layout design, debugging, accessibility support, and UI/UX enhancement are the main topics of this presentation. Additionally, it compares standard manual frontend workflows with AI-assisted technologies.

The study finds that AI tools can be helpful in saving time, improving productivity, and supporting better design decisions. The paper concludes that AI should not be treated as a replacement for frontend developers, but as a practical support system that works best when combined with human creativity, logic, and design judgment.

Keywords: Responsive Design, UI/UX, Frontend Development, Web Design, AI Tools, User Interface, Web Development Efficiency, Code Automation, and Developer Productivity.

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Published

2026-01-30

How to Cite

Evaluating the Role of AI Tools in Frontend Development for Improving Web Design Efficiency. (2026). International Journal of Emerging Research in Computer Science, 2(1), 25-28. https://doi.org/10.59828/ijercs.v2i1.10