AI协作时代工程信号：vLLM与SGLang拉取请求纵向分析
原标题：Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen
AI 摘要
该研究对vLLM和SGLang两个AI基础设施项目的33,228个合并拉取请求进行了纵向分析，发现PR吞吐量分别增长21倍和17.9倍，周期时间缩短，作者多样性增加，评论密度上升，而PR大小保持稳定。研究认为这些变化主要由人类驱动，并讨论了其对生物医学AI代理和生物信息学流水线开发的启示。
正文节选
[Page 1] Engineering Signals of Human–AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Development Jiada Li1*, Xuesong Ye2, Olamide Olowoniyi3 1* Independent Researcher, Albany, NY, 12205, Email: jiadali2017@gmail.com 2 Georgia Institute of Technology, Atlanta, GA, 30332 3 Independent Researcher, Albany, NY,