Dev Uses Jev to Dynamically Tune GPT-6 Reasoning Effort Inside Codex, Cutting Costs 50%
brandon_galang · x · 2026-09-21
Developer @miu21590 shows a novel use of Jev: instead of picking a model before a task, Jev adjusts GPT-6's reasoning effort inside Codex during the task — more thinking when stuck, less for routine steps. In their tests this cut Astra costs by 50%, ran faster, and preserved prompt caching.
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