Episode 49 - Working Software is a Detail

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