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.
Java SDK and Spring AI Integration for TypeSafe Jev
Java SDK and Spring AI integrations for TypeSafe AI's Jev. Jev is not a chat model: send it a state and typed questions, and get numbers back with a confidence in about 300 ms, with judge, self-refine and guardrail advisors, RAG triage, tool selection and more.
Java SDK + #SpringAI integrations for @typesafeai 's Jev. Not a chat model! Send it a state and typed questions, get numbers back with a confidence, in ~300 ms. Judge, self-refine + guardrail advisors, RAG triage, tool selection and more. https://spring.io/blog/2026/09/21/spring-ai-typesafe-structured-judgment…
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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.
