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.

“UI is so over”

“If all humans were perfect robots”

"I just got stoned and did open source."

"I rewrote their entire CLI."

Sunil Pai's Backstory and Career Journey from India to London

The Evolution of React and Sunil's Contributions

Transition to Cloudflare and the Concept of Durable Objects

Building PartyKit and Its Impact

The Role of AI Agents and Their Integration

Challenges and Opportunities in the Tech Landscape

Exploring Durable Objects in Cloudflare

Challenges of Real-Time Applications

Local First Programming vs. Durable Objects

The Simplicity of Pull-Based Models

AI and the Future of Coding

AI's Impact on Professions

The Future of AI and AGI

Innovations in Cloudflare's Sandbox

The Concept of Self-Building Applications

LLMs are a mirror of an operators skill - https://ghuntley.com/mirrors/
Sunil's blog - https://sunilpai.dev/

"Bullish on claude code"

"I found Soham in our ATS"

"these things have been like RLHF to fuck"

Vibe Tunnel - https://vibetunnel.sh/

Armin Ronacher on Simon Willison’s blog - https://simonwillison.net/tags/armin-ronacher/

Amp by Sourcegraph - https://ampcode.com/

• Matt is finalizing his event for AI Demo Days.
• Juliette completed a challenging marathon with significant elevation.
• The tech news cycle is currently nuanced and interesting.
• Soham's job application saga has sparked widespread discussion.
• Roenacher's insights on Claude Code are valuable for developers.
• Git work trees can be beneficial but have their challenges.
• Environment variables can complicate development processes.
• Context engineering is crucial for effective AI interactions.
• Talent poaching is rampant in the tech industry right now.
• The competitive landscape allows companies to attract top talent easily. Cursor is refining its features to improve user experience.
• The competition between AWS and Cloudflare shapes developer tools.
• Claude Code is designed to work closely with AI models.
• AI can enhance productivity but requires careful oversight.
• Vibe Tunnel offers a novel way to manage terminal sessions.
• MCP servers need to return appropriate data for voice agents.
• Quality checks are essential for AI-generated code.
• Developers should prioritize and start small when building tools.
• The integration of tools should be user-driven, not server-driven.
• The evolution of MCP servers reflects the changing landscape of AI development.