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Program Code Generation: Single LLMs vs. Multi-Agent Systems

Published in 2025 7th International Conference on Natural Language Processing (ICNLP) • Mar 21, 2025
NobleIDNI9P96W53R41S85
Authors:
Baskhad Idrisov
,
Esther Eisenacher
,
Tim Schlippe

Abstract

This paper investigates the effectiveness of single large language models (LLMs) versus multi-agent systems in generating program code. Using AutoGen, we examine whether assigning detailed role descriptions enhances code quality in both setups. Key metrics such as lines of code, cyclomatic complexit...

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