Agent tooling

jev-mode

@ddfeyes2PythonMITupdated 2026-09-18

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.

ddfeyes/jev-mode

Where it calls Jev

DEFAULT_ENDPOINT = "https://api.typesafe.ai/v1/systemone"

src/jev_mode/client.py:24

The link points at the commit we read, so the line number still holds.

This one cannot run here

Its question set is assembled at runtime, or never written out literally in the code, so there is nothing to lift. The source link above will show you.

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