81% of engineering leaders in a survey linked an outage to AI coding tools

Undo sells debugging tools, so read these numbers as a seller's survey of what leaders remember rather than a count of incidents. The pattern underneath is still worth acting on, because it matches what teams describe in private: AI made writing code cheap and moved the cost to the stage where someone has to work out why it broke. The figure that stands out is the 93% who said a hallucination had sent a team after the wrong root cause, which means the same tools are now trusted to explain failures they may have caused. If you are building internal tools with an AI assistant, judge it by how long a fix takes and how often things break, not by how much gets shipped. Track both for a month before and after you widen its use, and keep a person who understands the code on anything that touches money or customers.