Pydantic AI with Samuel Colvin

In this episode of Software Engineering Daily, Samuel Colvin, the creator of Pydantic and Pydantic AI, discusses the origins and evolution of Pydantic, its move to type-safe data validation, and its impact on AI infrastructure. He also discusses LogFire, an observability platform, and the principles that guide the development of Pydantic AI, emphasizing type safety, engineering discipline, and open-source sustainability. Samuel shares insights on agent frameworks, the importance of type safety and observability, and the upcoming Pydantic AI Gateway. He touches on the challenges and future directions of AI tooling, and the balance between providing useful abstractions and allowing for innovation.