A bug that comes back is a failure of method, not of luck

A bug hunt usually starts in panic and ends in relief: someone tinkers, the error disappears from the screen and everyone moves on. The problem is that “gone from the screen” is not “over.” Without a method to reproduce, isolate and prove the fix, the same bug comes back wearing a different costume — and trust in the system drains away with it.

TriageBug exists to take the improvisation out of the hunt. Instead of jumping straight to a guess, it forces a path: reproduce deterministically, isolate the cause, fix it and — the step almost everyone skips — prove that the correct behavior is now guaranteed by a check that fails if the bug returns.

Speed comes from method, not from haste

It sounds counterintuitive, but the “fix and pray” shortcut is the slowest path: it pushes the cost to the next occurrence, now without context. Hunting with method is fast because every closed bug closes for real — the regression becomes a sensor, not a hope.

The voice here is direct and operational, of someone who gets their hands dirty. But energy without direction is just agitation. The differentiator is triage: knowing what is urgent, what is recurring and what already has proof of definitive death.

When the hunt is over, you can know

The question that haunts every team — “is it really over?” — stops being a feeling. It’s over when the check that used to reproduce the bug now fails if it returns. That is the end signal: objective, repeatable and independent of whoever is on call.