Building a Codebase Classifier with Jev
A developer shares building a codebase classifier with Jev, suggesting it may solve overengineered code from agents, and asks what to test next.
Simple Jev: Turning Open Models into Structured Decision Interfaces
Simple Jev reuses shared-context KV cache, reads only the next-token logits of candidate labels, and assembles choice, score, and truth judgment server-side, avoiding per-token decoding and JSON generation.
如果分类结果最终要喂给业务系统，生成一段 JSON 往往不是最省事的路径。Simple Jev 把开放模型变成结构化决策接口。 https://github.com/featherless-ai/simple-jev… 它复用共享上下文的 KV cache，只读取各问题候选标签的下一 token logits，再由服务端组装 choice、score 和真值判断。省掉逐 token 解码与 JSON
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