Working note on building a Jev harness for coding agents
An independent builder's note maps five coding-agent calls (files, model, safety, done, context) to Jev's Score, Choice and Noul types, cutting cost per 1,000 decisions from $605 to $0.17.
Jev Founder, Diogo Almeida, just released an independent working note on building a Jev harness for coding agents Not affiliated with the Jev team, just a builder mapping the loop Section 1 - the split: why harnesses already make these calls, just badly, with regex parsing prose replies Section 2 - five calls to move: files, model, safety, done, context, each one a typed Score, Choice or Noul instead of free text Section 3 - what it saves: ~400x cheaper per decision vs a cached frontier model, 0.2s median per call vs seconds of LLM latency $605 per 1,000 decisions on cold frontier calls down to $0.17 on Jev Bookmark it and read it tonight Then go rebuild your own agent loop
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