Matt's New Life in Lisbon
Server-Side Code Mode: Cloudflare's MCP Server
Matt Goes from 2K to 21K Followers in a Week
AMP Sunsets VS Code, Goes All-In on Agents
Claude vs Codex: Second Opinion Workflows
The Great Sandbox Debate
Wilhelm's rsync Disaster: Nearly Losing Everything
Demo Days: TLDraw Fairies, Pydantic Monty, Sandboxes
Building Your Own Personal AI Agent
healthchecks.io: Monitoring Your Background Scripts

Are we in a moment? The OpenClaw/Clawdbot autonomous agent craze explained

Why everyone suddenly bought Mac Minis (and why Matt refuses to)

Moltbook: Reddit for agents where bots questions their mortality

Files vs SQLite for agent memory - what actually works for long-term storage

MCP's future: stateless tools, elicitation, and a world with no human in the loop

Walled gardens vs open internet - will APIs open up for agents to roam free?

Models getting better at "just keep going" - the metric Anthropic optimized for

The massive rift between frontier AI users and "stochastic parrots" skeptics

Blacksmith CI: Wilhelm's hot tip for faster GitHub Actions

Closing question: If Moltbook is Reddit for agents, what is GitHub for agents?

Architecture twitter article about Clawdbot: https://x.com/Hesamation/status/2017038553058857413

Matt's Big Move to Lisbon

Cloudflare Code Mode: 2,500 Tools in 1,000 Tokens

Code Mode vs Bash vs SQLite: What Actually Works for Agents

2025 Reflections: The Year of Claude Code and MCP

2026 Preview: Files Are Back

Quick Fire: Best Model, Best Lab, Biggest Surprises

CGPGrey Video on Yearly Themes

"chat to your mouth Claude and grow a new tooth"
"I think I would have like a huge ego now for sure"
"have you seen the blimp"

Takeaways

All of these people in this industry have suddenly become important at work.
Their work suddenly became important to a lot of the world.
If I had worked at Anthropic five years ago, I would have a huge ego now.
The growth in the AI industry feels unevenly distributed.
The current time feels strange due to the rapid changes in AI.
Ego can be a significant factor in how individuals perceive their roles.
The importance of work can influence personal identity.
The AI landscape is evolving in unexpected ways.
Understanding the psychological impact of industry changes is crucial.
The conversation reflects on the novelty of the current AI growth.

"a brief history of a very specific building in London."

"there's a lot of room to optimize your code base for an agent."

"70 % of our code is written by an agent."

"The place I see where humans are still add tons of value…."

"spending 10, 15 minutes on a prompt is not unusual."

"I’m not sure I wanna wear a muzzle"

Takeaways

Matt recently joined Ona, previously known as Gitpod, and is excited about the developments there.
The transition from Gitpod to Ona reflects a broader evolution in remote development environments.
Remote development environments can significantly enhance productivity and onboarding for new engineers.
AI agents are becoming integral to software development, allowing for automated code writing and testing.
The importance of inner source practices in large organizations can facilitate collaboration and innovation.
Amp Free represents a shift in how AI tools can be monetized and accessed by users.
Guardrails are essential for ensuring that AI agents operate within safe and defined parameters.
The balance between security and productivity is a constant challenge in software engineering.
Personal AI workflows can streamline tasks and enhance efficiency in development processes.
The future of AI tools will likely involve more integration with existing workflows and systems.

Chapters

00:00 Introduction and New Beginnings
02:28 Transitioning to Cloudflare and Team Dynamics
05:25 Exploring the Cloudflare Office and Culture
08:20 The Evolution of Gitpod to OWNr
10:58 Understanding Remote Development Environments
14:04 The Role of Agents in Software Development
16:50 Inner Source and Collaboration in Large Companies
19:51 The Future of Remote Development and AI Agents
22:33 Harnesses and Their Role in Development
26:07 The Power of Interview Questions
28:14 Innovative Business Models in AI
31:12 The Evolution of AI Tools
34:07 Optimizing Code for Agents
37:56 Guardrails in AI Development
46:24 Personal AI Workflows and Productivity

"It's always the best."

Chapters

00:00 Introduction and Setting the Stage
02:34 Luke's Journey to ElevenLabs
04:54 Growth Strategies and Hiring at ElevenLabs
06:58 Understanding Growth Teams
09:50 The Role of Product in Growth
12:33 Working Dynamics at ElevenLabs
15:15 Use Cases for ElevenLabs' Platforms
18:04 Voice Agents and Market Opportunities
20:59 Product-Led Growth Strategies
24:29 The Power of Product-Led Growth (PLG) in Customer Acquisition
26:19 Understanding On-Prem Solutions and Their Spectrum
28:05 Innovations in AI Deployment with AWS Bedrock
31:14 Navigating the Music Industry: Partnerships and Rights
34:54 The Horizontal Approach: Integrating Diverse Product Lines
38:26 Imagining Future Workflows with AI Assistants
47:30 Personal AI Workflows: Tools and Automation

"Elderly German Landlord.. she would use these winky face emojis"
"Memes in blogs feel cheap"
"Dude.... you didn't even run this"

Takeaways

The 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.

Chapters

00:00 Podcast Jingle and Creative Process
02:34 Introduction to Torsten Ball and His Work
05:06 The Journey into Programming
07:44 The Impact of AI on Content Creation
10:23 Cultural Phenomena in Media
13:23 Exploring Global Trends in Social Media
17:59 The Evolution of Social Media Platforms
18:21 Journey into Programming and Early Interests
20:53 Rediscovering Programming and the Joy of Learning
24:45 Career Path and the Impact of the Internet
27:48 Transitioning to Remote Work and Personal Life
29:11 The Emoji Debate: A Personal Perspective
35:24 The Importance of Training in Tech
42:26 The Future of Software Development in an AI World
44:23 Evaluating Software Engineering and Product Quality
45:35 The Shift in Engineering Skills and Training Needs
47:29 Navigating the Challenges of AI in Software Development
51:11 Structuring Codebases for AI Integration
55:48 Leveraging AI for Efficient Debugging and Development
01:00:33 Creating Feedback Loops with AI Tools
01:05:20 The Future of AI in Software Engineering