Analysis of the Application and Prospects of Artificial Intelligence in Various Frontend Frameworks

Abstract

In recent years, the rapid development of artificial intelligence has influenced software engineering thoroughly. Especially in front-end development, the combination of artificial intelligence with front-end frameworks such as Vue, React and Angular is becoming a significant factor in advancing productivity and developing efficiency. This paper mainly investigates the application mechanism of AI over different front-end frameworks, and also researches the prospects of future development. This study aims to analyze the different aspects of AI integration over several frameworks, comparing their characteristics’ influence on their performance in generating code and converting the layout design into code. Research adopts literature analysis and comparative study, combining existing AI development tools and academic materials. The accuracy, capacity and adaptiveness of AI within the front-end frameworks are discussed in this paper. The findings indicate that AI has established a significant efficiency advantage in front-end development by generating components automatically, optimizing the logic between code, and solving debug errors. However, due to differences in syntax features and data complexity, AI’s effectiveness varies from different front-end frameworks.