Vibe Coders Are Missing the Hard Part

LLMs have changed the tech world. Hobbyists think they’re developers. CEOs think AI can replace engineers. Both see a machine writing code and assume that’s the job. But writing code is only the tip of the iceberg. In this video, I break down what vibe coders often miss: requirements, architecture, security, testing, reliability, maintainability, performance, documentation, and production thinking. AI is powerful - but only if you understand what sits below the surface. Vibe coding automates the tip. Engineering is everything underneath. Timestamps: 0:00 What people get wrong about AI coding 0:26 Code is only the surface 0:38 Vibe coding vs engineering workflow 0:55 Why architecture matters 1:13 Version control and real collaboration 1:39 Requirements engineering 2:04 Software architecture 2:33 Testing beyond “it works” 2:43 Deployment and production reality 3:02 Security is not optional 3:23 Underengineering vs overengineering 3:49 Ownership and long-term responsibility 4:10 TL;DR - AI is a multiplier