The Event Modeling and Event Sourcing Podcast

The Event Modeling and Event Sourcing Podcast

Episode 35 - Programming Languages Don't Matter

January 21, 2026

Show Notes

Summary

In this episode, Adam and Martin discuss the recent workshop focused on event modeling and event sourcing, highlighting the implementation aspects and the rapid learning curve of participants. They explore the importance of frameworks, the polyglot approach to development, and the evolving role of AI in modern programming. The conversation also touches on the significance of teaching and making a difference in learners’ lives. In this conversation, Adam Dymitruk and Martin Dilger explore various innovative projects involving Raspberry Pi, the integration of AI in everyday applications, and the potential of event sourcing and event modeling. They discuss the Ralph Loop, a coding experiment that allows AI to learn and improve over time, and the implications of AI on business processes and open-source software. The conversation highlights the importance of leveraging AI for efficiency and the evolving landscape of technology.

Chapters

00:18 Workshop Insights: Event Modeling and Sourcing
07:18 Learning and Implementation: Fast-Paced Progress
12:18 Frameworks and Languages: The Polyglot Approach
18:18 AI and Modern Development: Evolving Standards
24:17 Reflections on Teaching: Making a Difference
32:11 Innovative Raspberry Pi Projects
34:31 Event Sourcing and Sensor Technology
36:18 AI in Everyday Applications
38:11 Leveraging AI for Business Processes
39:28 AI-Assisted Learning and Event Modeling
42:17 Exploring Google’s Guided Learning
45:53 The Ralph Loop: A Coding Experiment
51:41 Learning from Iteration: The Ralph Loop Explained
56:15 Reverse Engineering Legacy Code with AI
01:19 The Future of Open Source and AI