Abstract

The rapid advancement of large language models (LLMs) has introduced Vibe Coding, a paradigm in which programmers express intent in natural language and AI systems generate code accordingly. This paper reviews the concept of Vibe Coding, analyzes its pedagogical benefits and implementation challenges, and proposes a hybrid teaching model for integrating Vibe Coding into programming curricula. The proposed approach aims to help students develop both foundational programming competence and practical capabilities for effective collaboration with AI tools.

Keywords: AI-assisted programming, large language models, prompt engineering, Vibe Coding