Use cases
Engineering teams run the debugging agent across a range of scenarios, from catching a bug a coding agent introduces mid-feature to keeping a low-traffic internal tool covered without a dedicated on-call rotation.
Triggers for a debugging sessionβ
| Situation | Benefit of using Multiplayer | |
|---|---|---|
| Your coding agent shipped a bug that only shows up once it's live | The fix is grounded in targeted, unsampled production data | Read more |
| You're mid-feature and don't want to context-switch into debugging | Multiplayer works in any environment and the bug gets caught and routed while the code is still fresh in your head | Read more |
| More than one coding agent touches the same codebase | Multiplayer catches the bug regardless of which agent in the chain introduced it, so you're not auditing each agent separately | Read more |
| A test fails and you don't know why at the system level | Your coding agent gets the full-stack context behind the failure | Read more |
By where it's runningβ
| Situation | Benefit of using Multiplayer | |
|---|---|---|
| The bug is on mobile | Your coding agent gets real device data to work from, rather than a bug report with no repro steps | Read more |
| The bug is customer-facing and support sees it before engineering does | The session is already captured by the time the report reaches the engineering team, so there's something concrete to work from right away | Read more |
| The bug is in an internal tool nobody's actively monitoring | Coverage doesn't depend on how much traffic a tool gets, so low-usage internal tools get the same debugging loop as high-usage tools | Read more |
Next stepsβ
π If youβre ready to trial Multiplayer with your own app, you can follow the steps in the quickstart.
π If you have any questions shoot us an email! π