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.
MLOps Tradeoffs: Jev vs LLMs in Production
An MLOps practitioner shares production tradeoffs: Jev's millisecond latency vs LLM multi-second delays, enum and probability schemas vs parsing JSON, type hallucination design differences, and cost shape.
Production tradeoffs I care about as MLOps: • Latency: Jev ms-class vs LLM multi-second (p95 kills UX + agent loops) • Schema: enums + probs vs “parse the JSON and pray” • Hallucination on types: Jev can’t emit an invalid choice by design; LLMs still can • Cost shape: Jev
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Testing apps with TypeSafe Jev & OpenCode
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