A bug ticket lands. The old workflow was hours of engineering time before a line of code changed: read the report, reproduce the issue, hunt down the root cause, draft a fix.

That first pass now happens before an engineer touches the ticket. The shift changes which problems get human attention. Routine bugs route around engineering; novel ones get more of it.

Adding one tag to a bug ticket hands the full context to an AI agent. The agent reads the ticket, traces the root cause through the relevant code, flags whether a code change is needed, and recommends a specific fix. What used to take an engineer an hour or more of investigation lands as a written analysis in minutes.

If the recommendation holds up to review, a second tag tasks the agent with implementing the fix and opening a pull request. Simpler bugs now move from report to pull request with minimal human engineering time in the middle.

Engineering time is being pulled up the stack. The hours that used to sit at the front of the queue—re-reading tickets and reproducing reported behavior—are now spent on problems where judgment and deep system context matter.

Our shipping cadence moves with it. Bugs that used to sit in triage queues for days clear faster, and the capacity engineers spent reading tickets shows up in shipped work instead.

What once required hours of triage, reproduction, and investigation just to understand a bug now produces a proposed fix in minutes.

See the latest from Abnormal's product and engineering teams.