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Use cases

Cache the dependency install that reinstalls from scratch

Pipeline speed and cost|The work pauses for the plan, and the review bar is raised so that smaller suggestions also block the merge, not only serious findings.

A full install on every run, replaced with a cache, and timings recorded both with and without it.

The ticket

Add dependency caching to the pipeline so installs stop running from scratch.

Acceptance criteria

  • The cache key is derived from the lockfile
  • Cold and warm timings are both recorded
  • A lockfile change correctly invalidates the cache
  • The cache cannot serve stale dependencies

What lands as proof

Both cold and warm timings, plus a demonstration that changing the lockfile busts the cache.

Why teams defer it

  • A wrong cache key serves stale dependencies, which produces confusing failures far from the cause.
  • It edits pipeline files, so it needs an approver who understands the pipeline.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: add dependency caching to the pipeline so installs stop running from scratch. Work that serves that outcome is in scope, and anything outside it is left for a separate ticket, so the pull request stays reviewable.
How do I know the work is done?
The pull request carries the evidence, not only the diff. Here that means cold and warm timings recorded in the description, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
The run stops for the plan, and the review bar is raised afterwards so that smaller suggestions block the merge too, not only serious findings.

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