AUTOMATING FRONT-END DEVELOPMENT WITH AI: FROM CODE GENERATION TO INTELLIGENT DEBUGGING
Abstract
Manual coding and debugging have traditionally been part of front-end development, an integral part of web application development. However new developments in artificial intelligence (AI) have completely changed the field, providing methods and tools to automate various parts of previous development. Focused on code generation, design optimization, and intelligent debugging, the white paper explores the incorporation of AI into front-end development workflows. This article explores tools and processes powered by AI and highlights the benefits, challenges, and future opportunities of using AI in front-end development.
Keywords
front-end development
artificial intelligence (ai)
code generation
design optimization
intelligent debugging
github copilot
adobe sensei
automation
machine learning
natural language processing (nlp)
user interfaces
web development
software engineering
algorithm bias
privacy concerns
ethical considerations
case studies
user engagement
web application
innovation
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Details
Volume
2
Issue
1
Pages
82-88
ISSN
4867-9994
Nithish Nadukuda
"AUTOMATING FRONT-END DEVELOPMENT WITH AI: FROM CODE GENERATION TO INTELLIGENT DEBUGGING".
International Journal of Artificial Intelligence & Applications,
vol: 2,
No. 1
Jun. 2023, pp: 82-88,
https://scholar9.com/publication-detail/automating-front-end-development-with-ai-from-cod--34020