Development
Building software: programming, developer tools, APIs, deployment and DevOps, and building with AI (agents, MCP servers, RAG, AI coding tools). An extra channel alongside an episode's main one, so AI engineering episodes sit in both.
#2059: When Your AI Agent Runs Stale Code
npx is silently running old versions of your AI tools. Here's why your updates vanish into a cache black hole.
#2058: How Stuxnet's Code Physically Broke Iran's Centrifuges
Stuxnet didn't just infect computers—it rewrote PLC logic to spin uranium centrifuges into self-destruction while faking normal readings.
#2057: How Agents Break Through the LLM Output Ceiling
The output window is the new bottleneck: why massive context doesn't solve long-form generation.
#2043: From Wrappers to State Machines
Skip no-code traps. Learn the real stack for building agentic AI: Python, TypeScript, and Rust.
#2041: The "MPEG Moment" for AI: Llamafile & Native Models
Why are we squeezing massive cloud models onto desktops? Meet the "native" AI revolution.
#2040: The Rebellion Against Big Tech's AI Lock-In
Why run LLMs locally? We break down Ollama, llama.cpp, vLLM, and llamafile—and when to use each.
#2039: CLIs vs. MCPs: How AI Agents Actually Talk to Services
Why give an AI agent a terminal? We compare CLIs and MCPs for AI integration.
#2038: UI-First vs Architecture-First: Choosing Your AI Agent
LobeHub vs. Dify vs. n8n: We break down the chaotic landscape of local AI agents to find the right "brain" for your workflow.
#2037: The Hidden Hierarchy of Claude Code Extensions
Stop manually typing slash commands. Here’s the definitive hierarchy of Claude Code extensions—from legacy shortcuts to autonomous agents.
#2028: Agent Skills Are the New Apps
AI agents are getting an App Store for brains. Discover how modular skills are replacing massive prompts and what it means for the future of work.
#2027: The Missing Photoshop for Words
Why is editing text with AI so clunky? We explore the "TITO" paradigm—using small, local models for fast, private text transformation.
#2026: Prompt Layering: Beyond the Monolithic Prompt
Stop writing giant, monolithic prompts. Learn how to stack modular layers for cleaner, more powerful AI applications.
#2025: How Do You Reward a Thought?
Rewarding an AI agent is harder than just saying "good job"—here's how we turn messy human values into math.
#2024: Your AI Council: Digital Committee or Groupthink?
A digital boardroom of AI models promises better decisions, but risks amplifying the same old biases.
#2022: When AI Becomes Your IT Department
We dug into a repo of 47 real-world projects showing how OpenClaw powers everything from self-healing servers to overnight app builders.
#2021: Your Frozen AI Is Getting Smarter (Here's How)
Your AI model might be static, but the system around it can make it learn in real-time.
#2020: 1,000 AI Agents Built a Religion in Minecraft
An experiment drops 1,000 autonomous agents into Minecraft, and they spontaneously invent religion, democracy, and taxes.
#2019: Local AI vs Cloud AI: The Agent Identity Crisis
Your desktop is becoming a life support system for AI agents. We explore the sharp trade-offs between local-first and cloud-native architectures.
#2018: When Micro Frontends Actually Make Sense
The frontend monolith is a nightmare of coordination. Micro frontends promise autonomy, but is the operational complexity worth the cost?
#2017: The Art of Squeezing AI Models onto Your GPU
Those cryptic letters on Hugging Face actually map how much brain power you trade for speed.