The Session Trap: How LLM Memory Loss Enabled a Three-Month Debugging Loop

This incident exposes a critical vulnerability in LLM-assisted debugging: confident 'fixes' without verification combined with session amnesia allow the same bugs to persist undetected for months. It reveals why treating independent debugging sessions as a continuous conversation is a recipe for systematic failure, and why AI-assisted workflows require rigorous verification rather than blind trust in model assertions.