When Non-Developers Code: Security and Responsibility in the Age of AI

As AI coding assistants lower the barrier to software development, non-technical professionals can now build production systems—democratizing an industry historically gatekept by formal training. However, this accessibility paradox introduces significant security risks: without professional oversight, AI-generated code handling sensitive user data and payment systems can expose vulnerabilities that formal code review might catch. The article presents a practical security framework, arguing that responsibility now falls equally on both experienced developers and AI-empowered newcomers.