The Hidden Costs of AI Code: Why Demos Succeed But Production Fails

Code accuracy in AI-generated applications spans five critical dimensions—functional correctness, security, architectural design, structural integrity, and maintainability—yet most evaluations test only whether code executes without errors. This narrow assessment misses structural flaws and security vulnerabilities that surface only under production conditions, making it essential for non-technical founders to understand that code passing demo environments may still fail catastrophically in real-world use.