Summary
The review-first update flow currently focuses on pinned git sources and, separately, fetch checksum updates. Package version increases outside those paths still lack comparable AI-assisted review.
Problem
Version bumps can carry significant behavioral or supply-chain impact, especially for major releases or tools with broad system integration. Today there is no first-class review step that helps evaluate whether a version increase looks routine, risky, or underexplained.
Goal
Extend AI-assisted review so package version increases can be evaluated with at least a basic level of context and red-flag detection.
Initial scope
A first pass does not need perfect package-manager coverage. It can start with lightweight heuristics and the most available metadata.
Possible inputs include:
- old version vs new version
- whether the bump crosses a major version boundary
- release notes or changelog text when available, especially from GitHub releases
- commit message context from the update change itself
Done looks like
- There is a defined review path for package version increases, not just git/fetch pin changes.
- The review can identify obvious red flags such as major-version jumps without clear rationale.
- GitHub-backed sources can use release metadata when available.
- The behavior is explicitly documented as a first-pass review aid, not a full semantic compatibility guarantee.
Non-goals
- Perfect understanding of every package ecosystem in the first implementation.
- Blocking all updates on rich release-note availability.
Notes
The long-term direction may include storing release-note or changelog hints in source metadata, but the first step can be much simpler.
Summary
The review-first update flow currently focuses on pinned git sources and, separately, fetch checksum updates. Package version increases outside those paths still lack comparable AI-assisted review.
Problem
Version bumps can carry significant behavioral or supply-chain impact, especially for major releases or tools with broad system integration. Today there is no first-class review step that helps evaluate whether a version increase looks routine, risky, or underexplained.
Goal
Extend AI-assisted review so package version increases can be evaluated with at least a basic level of context and red-flag detection.
Initial scope
A first pass does not need perfect package-manager coverage. It can start with lightweight heuristics and the most available metadata.
Possible inputs include:
Done looks like
Non-goals
Notes
The long-term direction may include storing release-note or changelog hints in source metadata, but the first step can be much simpler.