When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding

Xu Yang, Lunyiu Nie, Ethan Chandra +3

Multi-agent Large Language Model (LLM) systems offer a way to decompose complex tasks, such as coding, through parallelization and context isolation. However, adding agents in prac…