Munich Datageeks December 🎄 Edition

We are thrilled to announce our next (Christmas Special) Meetup on December 17th at jambit.
Format:

• 2 talks (each ca. 40 min incl. discussion)
• Time for networking + food + drinks before, in between and after the presentations
• Talks are held in English
• We will be taking photos and/or film footage at the event. These will be used to share news about our meetups and to publicize upcoming events.

The lineup:

First talk:
Enrico Rizzardi - Agentic RAG in Action

Abstract:
Discover the potential of Agentic RAG (Retrieval-Augmented Generation) in this developer-focused session. We’ll explore the benefits, challenges, and bleeding-edge innovations using LangGraph, with insights into debugging and tracing via PhoenixArize. Learn testing methodologies and gain a clear understanding of this emerging AI paradigm. No hands-on, just fresh ideas to inspire your next project!

Bio:
Enrico Rizzardi is a software developer and GenAI enthusiast. With over a decade of experience as a full-stack and front-end developer, he transitioned to focusing on GenAI topics this year. Enrico has collaborated with clients in the banking, energy, and automotive sectors and has been with jambit for more than seven years.

Second talk:
Daniel Schwendner - Smart Testing at Scale: How Reinforcement Learning Optimizes Software Testing in Massive Codebases

Abstract:
Working with large, multi-language codebases comes with unique challenges, particularly in software testing within continuous integration pipelines. Long feedback loops, resource limitations, and an overwhelming volume of tests can slow down development significantly.
This talk introduces a lightweight, AI-powered solution using Reinforcement Learning to address these challenges. By intelligently prioritizing and selecting test cases, this approach speeds up feedback, reduces test times, and maintains high accuracy.

Bio:
Daniel Schwendner is a DevOps Engineer passionate about improving code quality. He has extensive experience in this domain, from developing safer coding practices and analyzing source code to ensuring the security of deployed applications. Daniel also shares his knowledge and insights online as @code_byter.