In this episode of the Ruby AI Podcast, co-hosts Valentino Stoll and Joe Leo engage in a lively discussion with guest Justin Searls. They explore the evolving landscape of software development with agentic AI tools, comparing traditional agile methodologies with emerging AI-driven practices. Justin Searls his experiences with refactoring and the challenges of integrating AI tools into development workflows. The conversation touches on the suitability of AI in coding, philosophical perspectives on reinforcing proper software practices, and the future potential of these technologies. Justin also provides valuable insights on configuring AI tools for better productivity and discusses his personal coping strategies with the frustrations of modern AI capabilities.00:00 Introduction and Hosts Banter00:30 Guest Introduction: Justin Searls03:13 Justin's Career and Conference Talks07:52 The Evolution of Agile and Development Practices16:07 Challenges with AI and Iterative Development27:47 Recalibrating Development Processes28:00 Adoption of Pivotal Labs' Methods28:28 Continuous Integration and Testing29:21 AI in Development: Current State and Challenges30:16 The Role of AI Agents in Development32:17 Frustrations with AI Tools35:03 Philosophical Reflections on AI in Development36:16 Generative vs. Subtractive AI37:06 The Future of AI in Software Development39:27 Balancing Coding Enjoyment and Productivity44:02 Capability vs. Suitability in AI Tools46:35 Prompt Engineering Tips and Tricks52:39 Closing Thoughts and Plugs

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