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jevharness

jevharness — LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection…

jevharness is LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution. - TianyuCodings/JevHarness. It is ranked #510 on the Dev Radar, in AI dev tools, first seen 20 h ago and shared in 1 post (15.6k views).

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GitHub - TianyuCodings/JevHarness: LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} TianyuCodings / JevHarness Public Notifications You must be signed in to change notification settings Fork 0 Star 5 main Branches Tags…

What people said about jevharness on X

🔥牛逼!让 Jev 自我优化、自己解决复杂问题,不用再手写 instruction、criteria、候选集! JevHarness:LLM 自动生成任务专属决策流程,冻结后每次只跑代码 + 快速 Jev 判断。有数据还能用轨迹持续进化。宝可梦 5 轮迭代,胜率 25% → 75%。 主要亮点: 🔹LLM 写一次策略,Jev 做高速模糊判断 🔹自动生成特征、问题、判据和动作逻辑 🔹可用奖励 + 全轨迹反射 / GEPA 自我优化 🔹自带 Coding Agent skill,丢仓库地址就能开干 🔹可回放每一步 Jev 选择的对战 Demo 关键操作…

@NFT_Chen, 20 h ago · 200 likes · see the post

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FAQ

What is jevharness?

LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution. - TianyuCodings/JevHarness It was first shared on X 20 h ago and is ranked #510 on the Dev Radar.

Is jevharness free?

It is open source.

Who shared jevharness?

1 account on X, including @NFT_Chen, in 1 post totalling 15.6k views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 20.7k posts from 4.9k X accounts over the last 21 days, 2.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-22 08:21 UTC. Full method.