Agentic AI is shifting the traditional trade-off between using an existing component library and building a custom one. For Angular teams, the cost of creating and maintaining a custom component library has historically been too high, but AI agents can now handle repetitive tasks like generating components, writing tests, improving accessibility, refactoring APIs, and updating documentation. Combined with code distribution platforms (like shadcn/ui or Spartan for Angular), teams can start with a solid foundation and incrementally own and evolve their components. Key practices include incremental adoption, treating the library as an external dependency with a stable public API, using Angular's @angular/aria package for accessibility primitives, and providing AI agents with clear conventions and design system context. The post also outlines when not to build your own (complex components like data grids, teams needing broad coverage quickly) and suggests a hybrid approach: custom components for core design system, external libraries for complex specialized components.
