Episode 49 - Working Software is a Detail
June 7, 2026
Show Notes
Summary
In this episode, Adam and Martin discuss the intricacies of event modeling and event sourcing, reflecting on their experiences at recent conferences and the evolving landscape of software development. They critique traditional agile methodologies, emphasizing the importance of comprehensive documentation over mere working software. The conversation also explores the integration of AI in software development, the future of event sourcing, and the challenges faced by the industry in adapting to new technologies. In this conversation, Adam Dymitruk and Martin discuss the evolving landscape of AI development, focusing on the costs associated with AI per developer, the importance of event modeling as a framework for AI usage, and the challenges of enterprise adoption. They explore the risks of AI in production, the growing fatigue surrounding AI discussions in the industry, and the need for structured approaches to leverage AI effectively. The conversation highlights the balance between innovation and risk in software development, emphasizing the necessity for clear requirements and guidelines. In this conversation, Martin and Adam discuss the limitations of AI in project management, the challenges of coding practices in the age of AI, and the importance of community contributions in software development. They explore the future of event modeling and the writing of engaging books that cater to both technical and non-technical audiences. The discussion emphasizes the need for solid guidelines, guardrails, and a collaborative approach to building systems that can adapt to the evolving landscape of technology.
Chapters
00:18 Introduction and Conference Planning
03:14 Reflections on Conference Experiences
06:19 Event Modeling and AI Integration
09:22 The Future of Software Development
12:09 Critique of Agile Methodologies
15:21 The Importance of Comprehensive Documentation
18:15 Event Modeling as a Solution
21:29 The Role of AI in Software Development
24:15 Predictions for the Future of AI and Event Sourcing
29:02 The Cost of AI Development
32:04 Event Modeling and AI Frameworks
35:05 Writing and Using AI in Development
39:26 Enterprise Adoption and Competition
41:26 The Risks of AI in Production
52:20 AI Fatigue and Industry Trends
55:13 The Limitations of AI in Project Management
57:22 Navigating AI Fatigue and Coding Practices
01:00:07 Event Modeling and Code Generation
01:03:16 Community Contributions and Collaboration
01:06:29 The Future of Event Modeling Books and Learning
01:18:17 Closing Thoughts and Future Plans