Episode 41 - Reverse Engineering Using Event Modeling
March 15, 2026
Show Notes
Summary
In this episode, Adam and Martin discuss the evolving landscape of work in the age of AI, emphasizing the shift from traditional coding to a focus on specifications and event modeling. They explore the benefits of automating legacy code analysis with AI, the importance of accurate documentation, and the challenges faced in implementing event sourcing. The conversation highlights the potential of AI to enhance software development processes and the need for a paradigm shift in how developers approach coding and specifications. In this conversation, Martin and Adam discuss the challenges and opportunities in academia and industry, particularly in the context of event modeling and software development. They explore the disconnect between traditional academic approaches and modern industry practices, emphasizing the need for flexibility and openness to new ideas. The discussion also touches on the importance of optimizing performance in AI, the shift towards open-source solutions, and the future of event modeling tools. They highlight the significance of questioning the majority mindset and the potential for innovation in technology.
Chapters
00:18 The Evolution of Work in the Age of AI
03:16 Event Modeling: A Tool for Understanding Specifications
06:22 Automating Legacy Code Analysis with AI
09:23 The Role of Documentation in Software Development
12:19 AI’s Impact on Software Development and Event Sourcing
15:23 Challenges in Implementing Event Sourcing
18:24 The Future of AI and Event Sourcing in Software Development
35:13 Defending Old Paradigms in Academia
38:32 The Disconnect Between Academia and Industry
40:18 Challenging the Majority Mindset
42:15 Event Modeling Conference Insights
46:52 Dynamic Consistency Boundaries and Aggregates
53:13 Optimizing Performance in AI and Event Modeling
01:00:38 The Shift Towards Linux and Open Source
01:07:42 The Future of Event Modeling Tools