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.
Codex integration with Jev cuts token usage by 90%
A user shares that integrating Codex with Jev reduced token quota consumption by 90%, and demonstrates Jev classifying "Should I buy a gaming console?" as purchase consultation with 97% probability and 0.96 confidence.
After integrating Codex with Jev, my token quota consumption was reduced by 90%. I actually tested inputting a single sentence: "Should I buy a gaming console?" Jev quickly classifies it as "purchase consultation," with 97% probability and 0.96 confidence, then proceeds
· 1.1K 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.
