Garry Tan의 "Skillify" — AI 에이전트의 실패를 영구적 구조 수정으로 바꾸는 방법론

Garry Tan's Skillify methodology brings essential software engineering rigor to AI agents by transforming failures into permanent, test-verified structural modules. It addresses the reliability gap by separating latent LLM reasoning from deterministic code execution, ensuring that agent capabilities do not decay over time. This shift toward a test-driven architecture is critical for moving AI agents from experimental prototypes to robust, production-grade systems.