The "DO IT" Glitch: When AI Agents Accidentally Eat Their Own Code
Executive Overview In the rapidly evolving landscape of software development, where Large Language Models (LLMs) and autonomous AI agents are increasingly steering production environments, a silent and insidious risk has emerged. It is a risk not born of malicious intent, but of semantic confusion—the phenomenon of an AI destroying its own foundational architecture and then…
