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.
LLM2Jev: Turn Any LLM into a Local Jev Model
LLM2Jev brings Jev's unified Choice/Score/Noul framework to local setups with ready-made HuggingFace causal models, no cloud tuning or commercial APIs required.
💥Awesome! Instantly transform any LLM into a Jev model with a localized decision engine! LLM2Jev brings Jev's unified Choice / Score / Noul framework to your local setup: ready-made HuggingFace causal models, no cloud tuning, no buying commercial APIs. Key Highlights
· 137 likesOpen on X
More like this
Jev Enables LLM-as-a-Judge at 20–200x Speed and 40–400x Lower Cost
Jev was used to pick which model is AGI, offering 20–200x speed and 40–400x lower cost, making LLM-as-a-judge extremely fast and nearly free.
Testing apps with TypeSafe Jev & OpenCode
Filip shares a small demo showing how fast testing apps can be with TypeSafe Jev and OpenCode.
