바이브 코딩의 환상과 AI 코드 수준 그리고 미래

AI coding excels at generating executable code but struggles to understand and deliver what users actually want. The core issue is that models lack implicit knowledge and 'taste'—the intuitive judgment about good products—while RLHF training optimizes for code execution rather than product quality. As models improve, this gap will narrow, but achieving AGI-level intelligence requires mastering human-like product sense and common sense, not just technical execution.