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Use cases

Narrow a scheduled job that scans more than it needs

Performance and cost|The work pauses once the plan is written. Somebody reads the approach and approves it before any code exists, and the run continues from there.

A job that scans the whole table every run, narrowed to the rows that actually changed.

The ticket

Narrow a scheduled job so it processes only the records that need it.

Acceptance criteria

  • The job processes only changed or eligible records
  • A test proves the narrowed scope still catches everything it should
  • Runtime and rows scanned are recorded before and after
  • A full run remains available for recovery

What lands as proof

A correctness test on the narrowed scope, alongside the runtime saving. The saving alone is not enough.

Why teams defer it

  • It runs at night, so nobody feels the cost until it stops finishing before morning.
  • Narrowing the scope risks missing records, which is a correctness argument rather than a performance one.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: narrow a scheduled job so it processes only the records that need it. 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 timing plus a correctness test on the narrowed scope, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
The run stops once the plan is written. Somebody reads the approach and approves it before any code exists, which is the cheapest moment to redirect the work.

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