Transforming Software Development: A Study on the Integration of Multi-Agent Systems and Large Language Models for Automatic Code Generation

This paper explores the integration of Multi-Agent Systems (MAS) and Large Language Models (LLMs) for auto-matic code generation, addressing the limitations of traditional manual coding. By conducting a comprehensive review of existing literature and analyzing a practical case study, we demonstrate how MAS and LLMs can collaboratively enhance software development processes. The research focuses on the technical and theoretical challenges of this integration, highlighting the potential for improved productivity, adaptability, and quality in code generation. The findings contribute to AI-based software engineering by revealing new research directions in collective intelligence and automated programming.