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Use cases

Write a one-off backfill script with a dry-run mode

Data layer and migrations|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 one-off data fix delivered as a reviewed script with a dry run, with execution left to a person.

The ticket

Write a backfill script with a dry-run mode and attach its output.

Acceptance criteria

  • A dry-run mode reports what would change without changing it
  • Dry-run output is attached to the pull request
  • It processes in batches and can resume after interruption
  • Execution stays with a person, not with this ticket

What lands as proof

Dry-run output showing the exact rows and values that would change, reviewed before anything runs.

Why teams defer it

  • A backfill that goes wrong is expensive and hard to reverse, so it needs a reviewer who understands the data.
  • Writing it to be resumable takes longer than writing it to run once, and the difference only matters when it fails halfway.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: write a backfill script with a dry-run mode and attach its output. 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 dry-run output attached, the execution stays with the team, 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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