Researchers have published a new study analyzing the computational costs of AI coding agents by quantifying exactly where language model tokens are consumed during agentic software engineering tasks. The paper breaks down token usage across various developmental phases to identify major cost drivers and help developers optimize the efficiency of automated programming systems.