Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development
A new study analyzed conversational patterns between AI agents in software development tasks, specifically focusing on the Fibonacci game. Researchers examined interactions between 'Designer' and 'Programmer' agents across seven open-source Large Language Models (LLMs), including Gemma, LLaMA, DeepSeek, MiniCPM, and Qwen. The analysis revealed significant differences in efficiency, consistency, and effectiveness, with the DeepSeek-R1 pair uniquely converging to the correct solution from the first iteration. AI
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