Build blueprint
Dependency Update Gate
A bot deciding auto-merge, test-more, human-review, defer, or block for every update.
- Problem
- Automated dependency PRs create noise and hide the few updates requiring immediate action.
- Why Jev
- Update disposition is a repeated typed choice over changelog, diff, usage, and risk state.
- Architecture
- Update metadata + repository usage → risk Scores/Choice → CI policy → action.
- Current alternative
- Version-range rules and manual Dependabot triage.
- Jev advantage
- Semantic triage can cover every package without a generative review call.
- Unknowns
- Changelog quality and ecosystem-specific risk features.
Why this confidence: Useful solo-developer wedge with measurable historical outcomes.
This is an authored hypothesis derived from the research corpus. Nothing here demonstrates product demand, or that Jev performs well on this particular workload. Run the validation experiment before building past the MVP.
Sources
Limitations
- Changelog quality and ecosystem-specific risk features.
- This is a research hypothesis, not evidence of product demand or Jev performance in this workflow.
Supporting research
- Confidence gate PlausibleAutomation proceeds above a threshold; ambiguous cases go to another check or a person.
- HA-Jev ObservedA Home Assistant custom integration exposing Jev evaluations as sensors and automation actions.
- Routing, classification, verification, and workflow control are the dominant early mental models. PlausibleThose categories recur in the collected launch discussion and align with the documented output primitives.
- Probabilistic predicate + deterministic action PlausibleJev supplies fuzzy predicates while TypeScript, policies, and workflows execute constrained actions.