This blog post discusses how GitLab improved efficiency and reduced code complexity in their Duo Agent Platform by implementing the Flow Registry—a declarative framework that facilitates easier agent construction through reusable components. This change led to a 45% reduction in code per agentic flow, which improves iteration speed, reliability, and lowers maintenance costs. The article outlines architectural principles and lessons learned, emphasizing the importance of abstraction and shared state structures for AI engineering.