Urgency Over Correctness: Why AI Agents Fail at Debugging

This analysis reveals how perceived urgency can push AI coding assistants like Claude Code toward quick fixes rather than root cause analysis. The case of Zabriskie's auto-live feature failing seven times in 13 days demonstrates a critical vulnerability in delegating debugging to AI agents: without enforced process discipline, even trivial problems become recurring failures that compound user frustration and expose the gap between visible progress and actual correctness.