Sebastian Springer
Sebastian Springer works at MaibornWolff in Munich and is primarily concerned with the various aspects of client- and server-side JavaScript. His focus is on the question of how to improve the world with web technologies. From JavaScript in vehicles and other everyday objects to the implementation of extensive enterprise platforms, the scripting language can now be found in all areas of life. This raises the question of how architectures, code quality and development tools are evolving to keep up with these demands. Sebastian gets to the bottom of these questions and passes on his knowledge to web developers as a consultant, trainer and author. Follow Sebastian on LinkedIn and on X.
Sessions
In this interactive hands-on workshop, you’ll dive deep into the development of modern AI applications using Node.js. Together, we’ll build a sophisticated application step by step, leveraging the power of LangChain and LangGraph. You’ll learn how to implement a modular architecture for your AI projects and how to handle complex tasks by intelligently chaining components with LangChain.
The workshop covers the seamless integration of Large Language Models (LLMs) and how to extend their capabilities through tool-calling to interact with external systems and data sources. With LangGraph, we’ll take it a step further by implementing dynamic logic such as loops and conditional executions to build adaptive, stateful AI agents. You’ll also learn how to create standardized interfaces on both the client and server side using the Model Context Protocol (MCP), and how to integrate them into your host application.
Many AI applications today are still limited to chat interfaces directly connected to a Large Language Model (LLM). This talk explores how the full potential of AI agents goes far beyond these basic chatbot implementations. You’ll learn how thoughtful architectures and specialized tools in JavaScript like LangChain or LangGraph enable the development of more complex and autonomous AI solutions.
Through concrete, practical examples, real-world use cases will be demonstrated—showcasing how AI agents can be applied to solve real problems, from intelligent data analysis and preparation, to automated multi-step workflows, and even proactive assistant systems. Discover how leveraging the right frameworks and design principles can significantly expand the capabilities of your AI applications. The goal is to equip and inspire you to think beyond traditional chat apps and design the next generation of intelligent, action-oriented agents for your projects.