Podcast: Jev as a new decision layer for coding agents
A Superlinear podcast episode discusses placing Jev between deterministic code and expensive LLM reasoning, covering browser loops, real-time feedback, test selection and model routing experiments.
New episode: Jev and the new decision layer for coding agents. @typesafeai’s Jev gives us a new place to put intelligence: between deterministic code and expensive LLM reasoning. We look at: - fast browser-use loops, including @thdxr’s OpenCode demo. - live feedback while you type, including @rileybrown’s real-time post analyzer. - our own experiments with test selection and local decision models, plus how fine-tuning could work - model, reasoning-effort, skill, and tool routing. If cheap, fast judgment can sit inside these loops continuously, how should we redesign agent systems around it?