⌁ CLI & Pipelines MIT E1 · source linked
I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
ϟ JEV · Decision point Jev returns a structured decision for the local program; consult the source for the exact decision policy.
→Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
cli-git-gatestyped-decisions
I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
ϟ JEV · Decision pointJev returns a structured decision for the local program; consult the source for the exact decision policy.
→Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
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- 2026-09-18
Source note Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.