Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering

A paper measures where tokens are spent in LLM multi-agent software engineering workflows.

This arXiv paper studies token consumption in LLM-based multi-agent software engineering. Using 30 ChatDev tasks with a GPT-5 reasoning model, the authors map internal phases to SDLC stages such as design, coding, review, testing, and documentation. Preliminary results suggest code review dominates token usage, averaging 59.4%, while input tokens form the largest share, pointing to inefficiencies in agent collaboration.

摘要由 AI 整理,以原文為準。