AI agents' programming conversations analyzed across 7 LLMs

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

影响 Provides insights into agent coordination and convergence for autonomous software engineering tasks.

排序理由 Academic paper analyzing LLM agent interactions in software development. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

• DeepSeek-R1
• Gemma
• LLaMA
• MiniCPM
• Qwen
• Srijita Basu

• 论文
• 模型发布

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