2170 个 Jev 项目的使用模式研究
中山大学与港中大分析 2170 个 GitHub 项目：77% 用 Jev 判断属性、52% 打分排序、31% 选下一步动作。
RESEARCHERS JUST ANALYZED 2,170 GITHUB PROJECTS BUILT ON JEV. The first study of how people actually use it, from Sun Yat-sen University and CUHK. What they found: 1,865 new repos in the first week after launch, plus 305 existing projects that added Jev. 43,750 stars in that week alone. 77% use it to judge an attribute. Is this spam? Is this code risky? 52% use it to score or rank. 31% use it to pick the next action. 70% use it for two or more of those jobs. The pattern is obvious once you see it: most AI agents are full of tiny decisions that never needed an expensive model. Paper in the replies. Save this. follow @cyrilXBT
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