ColdFusion
May 25, 2026
1. The AI Coding Superpower Paradox
AI coding tools are powerful for experienced developers but dangerous for those without technical expertise. The gap between appearing to work and actually working safely is substantial.
2. Hallucination in AI-Generated Code
AI coding tools frequently hallucinate by inventing non-existent APIs, phantom endpoints, and functions that don't exist in any library, leading to code that appears functional but fails in production.
3. Real-World Security Disaster: The Pickle Module Case
An AI-generated multiplayer game used Python's pickle module for networking, creating a remote code execution vulnerability that allowed attackers to execute arbitrary code on users' machines.
4. The Foundation Problem
AI-generated code can appear to work while missing critical foundations in security, architecture, and safety—making it dangerous to deploy without thorough expert review.