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.

Chapters

00:00 Introduction and Setup
02:38 Meeting Danilo Leal: Background and Career
05:33 The Evolution of Design and Engineering
08:17 Transitioning to Material UI
11:13 The Role of AI in Design
14:10 Prototyping and Development Process
16:58 The Future of Design and Technology
28:28 The Comfort of Familiarity in Development
29:18 Debugging Strategies in Zed
30:09 Building Tools and Prototyping in Zed
33:13 The Evolution of GPUI and Design Process
35:16 Future of GPUI and General Purpose Applications
38:11 AI's Role in Enhancing Workflow
40:44 Parallelization and Task Management in Development
43:47 The Future of Editors and Asynchronous Tasks
48:32 The Role of Code in the Age of AI
54:28 Integrating Context and Knowledge in Codebases

TLDR

• Matt 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.

Chapters

00:00 Cactus Conversations and Personal Anecdotes
01:00 Fishing Adventures and Culinary Delights
03:32 Water Sports and Outdoor Activities
06:16 Exploring Sub-Agents and Context Management
08:03 A2A Protocols and Future of Agent Interactions
10:54 Challenges with Claude Code and Testing Workflows
13:17 Sub-Agents: Benefits and Limitations
17:59 Navigating Code Actions and Permissions
20:21 Building Personalized AI Tools for Code Review
24:05 Challenges in Prompt Writing and Feedback Loops
30:11 Innovations in UI Rendering and Client-Server Interaction
37:12 The Future of Advertising and Technology
39:24 Living in the Future: Startup Ambitions
40:36 Anticipating Future Needs in Technology
42:57 The Role of Agents and Micro Payments
45:25 The Art of Prompting AI
49:34 The Future of Work and Communication
51:47 Time Zones and Programming Challenges

News
The pod has twitter/x - https://x.com/badagentpod
Wil’s new brand - tritanclub.com

Links

Boris 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.html

Emmett Shear’s Tweet Thread on AI use and speed - https://x.com/eshear/status/1944867426635800865

TLDR

• The 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.