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Use cases

Triage an unlabelled bug queue into reproducible and not

Bug backlog and defect hunting|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 queue nobody can prioritise, split by evidence into reproducible and not.

The ticket

Attempt to reproduce each ticket in an untriaged queue and record the result on it.

Acceptance criteria

  • Every ticket carries a reproduction attempt and its outcome
  • Reproducible ones get steps and an environment
  • Non-reproducible ones state what was tried before being closed
  • Duplicates are linked rather than closed silently

What lands as proof

Every ticket annotated with evidence, so the next prioritisation meeting works from facts.

Why teams defer it

  • Triage produces no shipped code, so it loses to anything that does.
  • It needs somebody with enough product knowledge to judge each report, which is usually the busiest person.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: attempt to reproduce each ticket in an untriaged queue and record the result on 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 each ticket updated with a reproduction attempt and its result, 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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