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.
Where Jev makes the decision
Jev returns a structured decision for the local program; consult the source for the exact decision policy.
Why it matters
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
Claims & evidence
Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.
About Jev
Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.
Source: ddfeyes/jev-mode — 2 stars, MIT. Listed by Awesome Jev.