Building Software With Thorsten Ball: Decoupling Code for Agents, Finding "Your Pain" and Germans Use the Winky Face
"Elderly German Landlord.. she would use these winky face emojis""Memes in blogs feel cheap""Dude.... you didn't even run this"TakeawaysThe podcast jingle was created using AI technology.Thorsten's journey into programming began in his teenage years.He transitioned from music to software engineering after realizing his passion for coding.The internet has significantly influenced Thorsten's life and career choices.AI-generated content is becoming a cultural phenomenon in Germany.Thorsten believes that some people can tolerate challenges better than others.He emphasizes the importance of continuous learning in programming.Thorsten's perspective on emojis highlights their humorous use but criticizes their overuse in UIs.The conversation reflects on the evolution of user experience in technology.Thorsten's career path showcases the diverse opportunities in the tech industry. The wink emoji is a cultural nuance in Germany.Training in tech is often on-the-job rather than formal.AI tools require engineers to rethink their approach to coding.Engineers need to understand the business context of their work.Dumb code can be generated quickly with AI, but structuring is key.Feedback loops are essential for effective AI integration.The software industry has unique training challenges compared to others.AI can assist in generating data visualization tools.Engineers should build tools that help them validate AI outputs.The landscape of software engineering is rapidly changing due to AI.Chapters00:00 Podcast Jingle and Creative Process02:34 Introduction to Torsten Ball and His Work05:06 The Journey into Programming07:44 The Impact of AI on Content Creation10:23 Cultural Phenomena in Media13:23 Exploring Global Trends in Social Media17:59 The Evolution of Social Media Platforms18:21 Journey into Programming and Early Interests20:53 Rediscovering Programming and the Joy of Learning24:45 Career Path and the Impact of the Internet27:48 Transitioning to Remote Work and Personal Life29:11 The Emoji Debate: A Personal Perspective35:24 The Importance of Training in Tech42:26 The Future of Software Development in an AI World44:23 Evaluating Software Engineering and Product Quality45:35 The Shift in Engineering Skills and Training Needs47:29 Navigating the Challenges of AI in Software Development51:11 Structuring Codebases for AI Integration55:48 Leveraging AI for Efficient Debugging and Development01:00:33 Creating Feedback Loops with AI Tools01:05:20 The Future of AI in Software Engineering
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In Person!!! Topic of Agent Payments, Friendly Acquisitions, GPT-5, Endless Model Name and Many Free Ideas
Chapters00:00 Introduction and Context of the Podcast07:23 Updates on SimplePoll and AI Integration18:14 Telemetry and Continuous Improvement in Development24:30 Acquisitions and Industry Insights32:37 Discussion on GPT-5 and Future of AI Models39:13 Consumer Experience with AI Models48:29 The Future of AI Content Verification58:17 The Impact of AI on Content Creation01:05:39 Community Engagement and Trends
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Uncut with Danilo Leal, Design Engineer at Zed, Prototyping in React and Built in Rust, Designing for an AI Assisted UX
TDLR: 10 episodes in and we are going full uncut conversation with Danilo Leal. One of the magician Design Engineers working on the Zed code editor. “I'll be making a jingle”“We prototype everything in React before Rust”Danilo Leal represents a new breed of designer and engineer.The role of design is becoming more approachable with technology.AI is changing the landscape of coding and design.Prototyping in React allows for rapid iteration and testing.Debugging in Zed involves traditional methods and new tools.Collaboration is key in modern development environments.The future of coding may involve multiple agents working in parallel.AI can enhance workflows but requires careful context management.The editor's role is evolving with the integration of AI tools.Design processes are becoming more integrated with coding practices.Chapters00:00 Introduction and Setup02:38 Meeting Danilo Leal: Background and Career05:33 The Evolution of Design and Engineering08:17 Transitioning to Material UI11:13 The Role of AI in Design14:10 Prototyping and Development Process16:58 The Future of Design and Technology28:28 The Comfort of Familiarity in Development29:18 Debugging Strategies in Zed30:09 Building Tools and Prototyping in Zed33:13 The Evolution of GPUI and Design Process35:16 Future of GPUI and General Purpose Applications38:11 AI's Role in Enhancing Workflow40:44 Parallelization and Task Management in Development43:47 The Future of Editors and Asynchronous Tasks48:32 The Role of Code in the Age of AI54:28 Integrating Context and Knowledge in Codebases
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Sub Agent or Super Agent, MCP UI Over Lunch, Bitter Lesson Learnings, Locking in on Prompts and Trying to Live in the Future
TLDRMatt caught whitebait for dinner during his outdoor adventures.Wing foiling is a new sport gaining popularity.Sub agents are necessary for exploring context windows in AI.A2A and MCP servers are the future of AI integration.AI-assisted code review can streamline the development process.Prompting techniques are evolving and require careful consideration.Living in the future means adapting to rapid technological changes.Time zones can create unexpected challenges in programming.The importance of personalized AI tooling is growing.Understanding the intricacies of AI models is crucial for effective use.Chapters00:00 Cactus Conversations and Personal Anecdotes01:00 Fishing Adventures and Culinary Delights03:32 Water Sports and Outdoor Activities06:16 Exploring Sub-Agents and Context Management08:03 A2A Protocols and Future of Agent Interactions10:54 Challenges with Claude Code and Testing Workflows13:17 Sub-Agents: Benefits and Limitations17:59 Navigating Code Actions and Permissions20:21 Building Personalized AI Tools for Code Review24:05 Challenges in Prompt Writing and Feedback Loops30:11 Innovations in UI Rendering and Client-Server Interaction37:12 The Future of Advertising and Technology39:24 Living in the Future: Startup Ambitions40:36 Anticipating Future Needs in Technology42:57 The Role of Agents and Micro Payments45:25 The Art of Prompting AI49:34 The Future of Work and Communication51:47 Time Zones and Programming Challenges
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Study Says AI Makes Developers Slower? F1 Movie Review, Coding and Testing for AI, Free Perplexity and Free Ideas
NewsThe pod has twitter/x - https://x.com/badagentpodWil’s new brand - tritanclub.comLinksBoris Tane post on Cloudflare DOs + Drizzle - https://boristane.com/blog/durable-objects-database-per-user/Experience with Claude Code - https://sankalp.bearblog.dev/my-claude-code-experience-after-2-weeks-of-usage/Focus on inputs not outputs: https://john-rush.com/posts/ai-20250701.htmlEmmett Shear’s Tweet Thread on AI use and speed - https://x.com/eshear/status/1944867426635800865TLDRThe experience level of developers affects their efficiency with AI tools.Proficiency in using AI coding agents requires practice and skill.Co-locating tests with code can improve the development process.Strict linting rules are essential for maintaining code quality.Different coding tasks require different approaches to AI assistance.The evolution of coding practices is influenced by new technologies.Understanding the limitations of AI tools is crucial for effective use.Developers need to adapt to new tools and workflows continuously.The future of development will likely involve more AI integration. Claude Code/TUI offers flexibility for running various applications.The evolution of coding agents is crucial for developers.Metrics of success in AI should focus on efficiency and user satisfaction.AI models should balance between asking questions and executing tasks.Personal experiences shape our understanding of AI tools.Innovations in coding tools can significantly enhance productivity.The future of AI involves deeper human interaction and understanding.Celebrating milestones is important for motivation and growth.Development workflows are being transformed by AI capabilities.Continuous learning and adaptation are key in the tech industry.
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