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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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AI Assistants for Software Architects: How to Use Them Right

Most developers aren’t using AI assistants anywhere near their full potential for architecture work. This video breaks down a practical framework for using AI at every stage of making a strategic technical decision — not to get “the perfect answer,” because that doesn’t exist in architecture, but to make better-informed trade-offs. What’s covered: AI won’t

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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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More AI Code, Less Production-Ready

AI tools are generating 110% more code. Lead times are up 480%. Code churn is up 861%. Something is very wrong. This is a commentary on the Faros AI Engineering Report 2026 (“The Acceleration Whiplash”), surfaced by Kent Beck’s LinkedIn post. The data covers 22,000 developers across 4,000 teams. Kent Beck’s post: https://www.linkedin.com/posts/kentbeck_the-ai-engineering-report-2026-the-ai-acceleration-share-7471011014738841600-JErm/Faros report: https://www.faros.ai/blog/ai-acceleration-whiplash-takeaways

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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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