⌁ 评测与可观测性
I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
基础收录 当前收录包含项目简介与链接,尚无可核对的 Jev 决策点。
→打开项目链接查看原始资料与实现。
I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
基础收录当前收录包含项目简介与链接,尚无可核对的 Jev 决策点。
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- 2026-09-18