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.
TypeSafe AI Launches Jev Classification and Routing Model
TypeSafe AI introduces Jev, a developer-focused model that classifies and routes instead of generating text, with 70-500 ms latency, $0.042 per million input tokens, and free responses.
🔥 TypeSafe AI lancia un innovativo modello per sviluppatori che non genera testo ma sceglie, classifica e smista in 70-500 millisecondi, con un milione di token in ingresso a solo 0,042 dollari e con risposte gratuite 👇 https://gomoot.com/jev-non-parla-ma-classifica-e-decide-200-volte-piu-veloce-degli-altri-modelli-ai/… #AI #jev #LLM #typesafe
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Jev Enables LLM-as-a-Judge at 20–200x Speed and 40–400x Lower Cost
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Testing apps with TypeSafe Jev & OpenCode
Filip shares a small demo showing how fast testing apps can be with TypeSafe Jev and OpenCode.
