2025-09-24 –, Katherine Johnson @ TNW City
As AI-powered agents and workflows grow in complexity, understanding their internal behavior becomes critical. In this hands-on workshop, you’ll build an agent and explore how observability tooling in PyCharm can help you trace, inspect, and debug its behavior at every stage – without having to leave the IDE.
This workshop introduces a practical workflow for building AI agents using LangGraph, with a focus on observability tooling in PyCharm to manage growing complexity. As the agent’s logic becomes more advanced, we’ll show how tracing and inspection tools help developers understand behavior, diagnose issues, and stay in control of what the agent is doing.
In this workshop, you will:
Build AI agents using LangGraph.
Use observability tooling in PyCharm to trace and debug agent behavior.
Make use of your confident Python skills and basic LLM knowledge.
Yaroslav Sokolov leads the development of the AI Toolkit at JetBrains. He previously worked as a machine learning engineer, building the local deep learning models behind full line code completion – the main source of AI-powered code suggestions in JetBrains IDEs. His current focus is on building tools that promote best ML practices while remaining intuitive and accessible for developers without a machine learning background.
tbd