Opportunities and Challenges in the Cultivation of Software Development Professionals in the Context of Large Language Models
Ping Chen, Syazwina Binti Alias · 2024
In the context of the rapid development of Large Language Models (LLMs), the field of software development has undergone significant transformations presenting both opportunities and challenges for software development professional cultivation. This study systematically analyzes the applications of LLMs in software development and their impact on this cultivation, exploring the opportunities and challenges in enhancing programming efficiency, promoting personalized learning, improving interdisciplinary skills, and addressing over-reliance on LLMs and related tools. Through literature analysis, this study reviews the impact of LLMs on programming efficiency, code quality, and project management and evaluates the requirements and directions for professional cultivation in response to these changes. The research results indicate that while LLMs bring numerous opportunities, they also pose challenges such as rapid technological updates and a tendency toward over-reliance on tools. Therefore, this study proposes a series of optimized professional cultivation strategies to adapt to the technological developments and industry demands of the new era, thereby enhancing the capability of higher education institutions to cultivate software professionals who meet future needs.