Samuel Colvin

LLMs are increasingly being used to take actions, call APIs, and write code. But giving AI agents the ability to run code opens up a surprisingly tricky question: how much control do you actually hand over?

Everyone is talking about agents, and right after that, they’re talking about agent-to-agent communications. Not surprisingly, various nascent, competing protocols are popping up to handle it. But maybe all we need is MCP — the OG of GenAI communication protocols (it's from way back in 2024!). Last year, Jason Liu gave the second most watched AIE talk — “Pydantic is all you need”.

We think people are over-complicating AI application development. With the right abstractions, there's no need to reinvent software engineering for AI applications — existing tools like Pydantic can form the foundation of the AI engineering stack. The key challenge today is identifying patterns that allow you to build maintainable, AI-powered components within larger software systems.

The motivation behind this panel is to provide insights to the audience with regards to funding open source projects, manage the community interaction, and options people might find attractive in order to be paid while doing Open source.

Pydantic Logfire — Uncomplicated Observability From the team behind Pydantic, Logfire is a new type of observability platform built on the same belief as our open source library — that the most powerful tools can be easy to use.

Pydantic is a data validation library for Python that has seen massive adoption over the last few years - it's used by major datascience and ML libraries like Spacy, Huggingface and jinja-ai - overall Pydantic is downloaded over 50m times a month!

[Pydantic](https://docs.pydantic.dev/) is a data validation library for Python that has seen massive adoption over the last few years - it's used by major datascience and ML libraries like [Spacy](https://spacy.io/usage/v3#features-types),...

Pydantic is a data validation library for Python that has seen massive adoption over the last few years - it is estimated that Pydantic is now used by about 10% of professional web developers!