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 Benchmark Lab: Stress Testing with 200 Ground-Truth Cases
Jev Benchmark Lab runs 200 ground-truth cases across 20 suites, evaluating accuracy, consistency, adversarial failures, option-order bias, answer flips, probability drift, and latency—letting the numbers decide.
Jev doesn’t need another demo. It needs a stress test. Jev Benchmark Lab runs 200 ground-truth cases across 20 suites, exposing accuracy, consistency, adversarial failures, option-order bias, answer flips, probability drift and latency. Let the numbers decide.
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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.
