Every engineer knows this feeling: All that time they imagined they could spend on building the next big thing is actually drained by break-fix work.
Many teams still approach incidents with reactive, manual methods. They scramble to find the right runbook, pull the right people and piece together context from a patchwork of tools. The cost is measured in downtime, poor customer experience, team morale and business continuity.
Enter AI, heralded as the holy grail for engineering productivity.
But is it really a game-changer, or is it just…
