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I Vibe-Coded a Roadmap Tool With Claude in Under a Day

AI coding assistants are excellent at generating and validating text formats — which means you can now build custom visualization tools for your team in less than a day. In this video I show Storymap, a Python tool I vibe-coded with Claude that turns a plain markdown file into an interactive, visual product roadmap. It’s

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Design By Subtraction

Adding features feels productive. Often, it is not. Reacting to Oskar Dudycz’s article “Addition by Subtraction in Software Design,” I go through his own admission of over-engineering his contract-testing library, Strictland – and why the fix wasn’t adding more options, it was removing them. This is a commentary on: https://www.architecture-weekly.com/p/addition-by-subtraction-in-software What we cover: Two rules

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What the Printing Press Debate Can Teach Us About GenAI

Every argument you’re hearing against large language models today — stolen data, lost jobs, power concentrating in a few hands — was made against the printing press five centuries ago. Looking at how that played out tells us something about where we’re headed with AI. In this video, I compare the ethical criticism of LLMs

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The AI Adoption Journey Every Developer Goes Through

There’s a predictable path developers go through when adopting AI coding assistants — from “this is useless for programming” to “I can build agents that solve certain problem types.” This video maps that path on two axes: trust in AI output, and trust in AI autonomy. What’s covered: Wherever you are on this graph right

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Specs over Code: How AI is Changing Software

With AI coding assistants generating good-enough first drafts, implementation details and syntax mastery are becoming less important than specifications and systems design. This video explores where that shift is heading — and where it can go wrong. The core idea: small, well-specified “black box” modules that AI agents can generate, test, and regenerate on demand,

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11 Tips to Reduce AI Costs in Software Development

AI budgets hit faster than expected. Token costs compound quietly in the background — until you’re mid-sprint and suddenly hitting limits. This video walks through 11 practical techniques developers can use to reduce AI costs without reducing what AI does for them. What’s covered: Every token saved is a token you can spend on harder

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Go Slow to Go Fast with AI: Writing Better Code, Not More Code

Most developers using AI are optimizing for the wrong thing. Speed metrics and line counts are not quality — and AI makes that confusion worse, not better. This video is a reaction to Nolan Lawson’s article “Using AI to write better code more slowly,” published May 2026: https://nolanlawson.com/2026/05/25/using-ai-to-write-better-code-more-slowly/ Topics covered: Going slow with AI isn’t

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5 AI Conversation Patterns Every Developer Should Know

Most developers use AI assistants the same way they use a search engine: ask, get an answer, move on. That habit is costing them the most valuable thing AI can actually do. The real power isn’t in generation — it’s in conversations that build understanding before you write a single line of code. Topics covered:

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