AUTOMATING FRONT-END DEVELOPMENT WITH AI: FROM CODE GENERATION TO INTELLIGENT DEBUGGING
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, InnovationAbstract
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.
References
GitHub Copilot. (n.d.). Retrieved from https://copilot.github.com/
Adobe Sensei. (n.d.). Retrieved from https://www.adobe.com/sensei.html
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Smith, J., & Johnson, A. (2023). "Automating Front-End Development with AI: From Code Generation to
Intelligent Debugging." Journal of Artificial Intelligence in Software Engineering, 15(2), 112-128.
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https://academy.constructor.org/blog/the-rise-of-ai-in-uxui-design
https://resources.github.com/artificial-intelligence/what-is-ai-code-generation/
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Copyright (c) 2023 Nithish Nadukuda (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
