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.
QuickE2E: End-to-End Testing Library Using Jev Decision Models
QuickE2E is an open-source end-to-end agentic testing library that uses Jev decision models for fast decisions and quick browser navigation, claiming 10x faster and 200x cheaper than normal LLMs.
Introducing QuickE2E A plain-English end-to-end agentic testing library for any web app. It uses Jev decision models to achieve fast decisions and quick browser navigation. 10x faster and 200x cheaper than normal LLMs. Get Started Here: https://github.com/dmoka/quicke2e Fully Open
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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.
