Samuel Colvin, the creator of Pydantic and Logfire, discusses the evolution of Pydantic as a critical tool in AI engineering. He reveals its staggering monthly downloads and integration with OpenAI. Colvin also explores the innovative use of graphs in agent engineering, emphasizing their importance for control and observability. Furthermore, he shares insights on the challenges of integrating AI models and the quest for adaptable APIs in observability. He also introduces Pydantic.run as a resource for better user experiences.

David Seddon, a Django expert at Octopus Energy, and Samuel Colvin, the creator of Pydantic, dive into the integration of Rust into Python for enhanced performance. They discuss the massive shifts in the Python ecosystem and the benefits of using Rust, particularly through the Pydantic library. Topics include managing a large-scale Django monolith, the stricter parsing behavior of Pydantic, and the introduction of Logfire for observability. The conversation also highlights tools like Jitter and the architectural strategies for building Python packages.

Samuel Colvin, Founder of Pydantic, discusses the growth and developer experience of their data validation framework, Pydantic. They prioritize empathy in API design and engage with the community through surveys. The podcast also touches on the challenges of open-source development and the roadmap for the future.