The Event Modeling and Event Sourcing Podcast

The Event Modeling and Event Sourcing Podcast

Episode 37 - Version 2 of Everything: The Looming Schema Migration Nightmare

February 12, 2026

Show Notes

Summary

In this episode, Adam and Martin discuss the latest developments in event modeling and event sourcing, focusing on the Ralph Loop technique and its integration with AI. They explore the challenges and successes of implementing these technologies, share insights from their recent experiments, and outline plans for upcoming workshops. The conversation emphasizes the importance of iterative development and community engagement in advancing these methodologies. In this conversation, Adam Dymitruk and Martin discuss the transformative impact of AI and automation on the software development landscape. They explore how AI can replace mundane tasks, the future of code generation, and the significance of event modeling as a new programming paradigm. The discussion highlights the challenges and opportunities presented by rapid technological advancements, emphasizing the need for a structured approach to integrating AI into development workflows. In this conversation, Martin and Adam explore the evolving landscape of skills and AI in the workplace, discussing the importance of breaking down complex tasks into manageable pieces for learning. They delve into the implications of AI on business models and the nature of work, emphasizing the need for human insight in system design. The discussion also touches on personal projects, community engagement, and the balance between using frameworks versus custom solutions in software development.

Chapters

00:18 Introduction and Overview of Recent Developments
03:19 Exploring the Ralph Loop Technique
06:07 Integrating AI with Event Modeling
09:12 Workshop Planning and Community Engagement
12:21 Challenges in AI Implementation
15:17 Refining Skills and Local AI Solutions
18:13 The Ralph Loop in Practice
21:23 Iterative Development and Learning
24:23 Future Directions and Tooling for Event Modeling
27:37 Automation and AI Integration
30:33 The Changing Landscape of Work
31:54 The Future of Code Generation
38:13 Event Modeling as the New Programming Language
43:34 AI in Event Modeling and Code Generation
51:52 The Role of AI in Modern Development
58:52 Breaking Down Skills for Learning
01:19 The Evolving Role of AI in Work
01:20 Business Models in the Age of AI
01:24 Creating Beyond AI: Personal Projects and Innovations
01:27 Community Engagement and Future Directions
01:30 Automation and Event Modeling in Real-World Applications
01:32 Frameworks vs. Custom Solutions: A Developer’s Dilemma
01:35 The Balance of Control and Convenience in Development