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I keep meeting young developers who are frustrated with AI coding tools. The output is inconsistent, the context is missing, and fixing the first draft takes longer than writing it themselves. The common diagnosis is that the model is bad. I don't think that's it. The real problem is the spec, and …
AI Writes More Code. Why Are Engineering Teams Shipping Slower? Here's the paradox: AI can write code 5x faster than humans. Yet many engineering teams aren't shipping faster. Some are actually shipping slower. In this episode, I break down why code generation speed doesn't translate to shipping sp…

RAG for agentic era

The prompting vs. RAG vs. fine-tuning debate is not over. It just moved to the wrong level. Most teams building with LLMs are still applying a 2023 framework to 2026 agent systems. The classic ladder model, start with prompting, add RAG for knowledge, fine-tune as a last resort, was built for singl…
If you've set up a skill in Claude Code and watched Claude ignore it, this episode is about why that happens. Skills are one of the most useful features in Claude Code, but the way they actually work is different from what most tutorials suggest. They're not always loaded into context. The triggeri…
Loop engineering is having a moment. Boris Cherny and Peter Steinberger have both said the same thing in public: stop prompting your coding agent turn by turn, and start designing systems that prompt it for you. This episode is the implementation guide. I walk through the five building blocks a rea…
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