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.
Managing Coding Agent Memory with Jev
The author runs Jev (about 0.3s per call) on every Claude Code message to decide what to remember, saving key decisions and bugs to JEVMEM.md, which is more efficient than using an LLM (about 3s).
A 10th: deciding what a coding agent should remember. I run Jev on every Claude Code message (decision? bug? replaces an older one?) and save the keepers to JEVMEM.md in the repo. At 0.3s a call that's cheap enough for every message. An LLM would add about 3s each.
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