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Use cases

Work the crash tracker by user impact, one issue per ticket

Bug backlog and defect hunting|Everything this ticket has to prove is checked by machine, so it can be handed over as it is. A person still reads the pull request and decides whether to merge it.

The crash affecting the most users, taken one issue at a time rather than as an inbox.

The ticket

Fix the crash affecting the most users, with a test that reproduces it.

Acceptance criteria

  • The tracker issue is linked and its user count recorded
  • A test reproduces the crash
  • The fix handles the cause, not only the reported stack frame
  • The issue is resolved in the tracker after the fix ships

What lands as proof

The tracker issue, the reproducing test, and the affected-user count that justified picking this one.

Why teams defer it

  • The tracker is a firehose, so it gets checked after incidents rather than as routine work.
  • Turning a stack trace into a reproduction is most of the effort and none of the visible progress.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: fix the crash affecting the most users, with a test that reproduces 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 stack trace linked, reproduction test, fix, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
None is required before the run starts. Every claim this ticket makes can be checked by machine, so the agent works straight through and a person reviews the finished pull request like any other.

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