Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development

ArXi:2605.24138v1 Announce Type: cross Large Language Models (LLMs) are increasingly applied to software engineering (SE), yet their potential for autonomous, role-oriented collaboration remains largely underexplored. Understanding how multiple LLM-based agents coordinate, maintain role alignment, and converge on solutions is critical for SE, as naively allowing agents to interact does not reliably lead to correct or stable outcomes.