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.
Jev: Typed decisions with confidence scores
Stop paying ChatGPT for a yes. Jev returns typed decisions with a confidence score, and output tokens cost $0. A cheaper fit for yes/no calls in your app.
Stop paying ChatGPT to say yes. Jev returns typed decisions with a confidence score, and output tokens cost $0. If your app makes yes/no calls through a chatbot, you're overpaying. #LLM #AI
· 0 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.
