Samuel Colvin, the CEO and founder of Pydantic, speaks with host Gregory M. Kapfhammer about the ecosystem of Pydantic’s Python frameworks, including Pydantic, Pydantic AI, and Pydantic Logfire. Along with discussing the design, implementation, and use of these frameworks, they dive into the refactoring of Pydantic and the follow-on performance improvements. They also explore ways in which Python programmers can use these three frameworks to build, test, evaluate, and monitor their own applications that interact with both local and cloud-based large language models.
Brought to you by IEEE Computer Society and IEEE Software magazine.
Show Notes
Related Episodes
- SE Radio 656: Ivett Ordog on Rewrite versus Refactor
- SE Radio 624: Marcelo Trylesinski on FastAPI
- SE Radio 622: Wolf Vollprecht on Python Tooling in Rust
- SE Radio 610: Phillip Carter on Observability for Large Language Models
- SE Radio 591: Yechezkel Rabinovich on Kubernetes Observability
- SE Radio 556: Alex Boten on Open Telemetry
- SE Radio 534: Andy Dang on AI-ML Observability
- SE Radio 507: Kevin Hu on Data Observability
- SE Radio 431: Ken Youens-Clark on Learning Python
- SE Radio 455: Jamie Riedesel on Software Telemetry
- SE Radio 337: Ben Sigelman on Distributed Tracing
- SE Radio 220: Jon Gifford on Logging and Logging Infrastructure
