index / ddfeyes/jev-mode
jev-mode
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.
Agent and Dev Tooling?RoutingListedPython
Repository
Stars2
LanguagePython
LicenseMIT
Created2026-09-18
Last pushed2026-09-18
Officialno
Judgment
Genuine Jev project0.91
gate 0.5
Uses Jev at runtime0.87
Is a meta list0.03
Is a reimplementation0.06
Quality scales
Substance2.11 / 3
gate 0.5
Docs2.90 / 3
Novelty2.78 / 3
Composite score0.85
Category distribution
Jev's confidence in this category is below 0.5, so the category is shown with a question mark. It is not a listing condition: this entry's status was decided by genuine and substance alone.
Agent and Dev Tooling0.52
SDKs and Clients0.47
Applications0.01
Research and Evals0.00
Games and Simulation0.00
Integrations0.00
Learning0.00
Other0.00
Assigned categoryAgent and Dev Tooling (uncertain)
Category probability0.52
Category confidence0.45
PatternRouting
Pattern confidence0.92
Curation
StatusListed
Reasongate passed
README pickno
Overridenone
Sources
- search:jev typesafe
- search:topic:jev
- search:jev in:name,description,readme created:2026-09-18
- list:hellogumbo/awesome-jev
Provenance
Modeljev-1.13.0
Question setv2
Judged at2026-09-19 10:54 UTC