Our guest is Samuel Colvin, Co-Founder and CEO of pydantic: a data validation library with millions of downloads per month.
In our conversation, we first discuss Pydantic and their observability platform: logfire. We then dive into agents where Samuel shares his vision on how to build production ready agents and what makes PydanticAI different than other frameworks.
If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.
👉 From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=63e5e3
👉 8-hour GenAI Primer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/8-hour-genai-primer?ref=63e5e3
Follow Samuel on LinkedIn: https://www.linkedin.com/in/samuel-colvin/
Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/
---
(00:00) Intro
(02:10) How Samuel Got into AI
(04:06) What is Pydantic?
(06:44) Observability with Logfire
(13:28) PydanticAI
(17:33) Agent Frameworks
(24:40) PydanticAI vs Other Agent Frameworks
(32:06) Strengths and Weaknesses of Agents
(36:43) Future Challenges with AI Agents
(46:45) Career Advice
Remember Everything You Learn from Podcasts
