AI is changing how software gets made… and the story isn’t “robots replace engineers.” The real story is quieter, and more dangerous: AI can help teams ship changes faster than their organizations can verify them. That’s how you get drift… not dramatic failure at first, just small, plausible changes that slowly pull your systems away from what you thought you built.

In this episode, Ed Fassio (Founder @ ByteBrain.org) unpacks the AI coding gold rush in plain English, for technical and non-technical listeners alike.

We cover:

•  Why “more code shipped” can mean “more risk shipped” 
•  The two hidden liabilities: error debt and comprehension debt
•  A simple glossary (PRs, stack traces, rollbacks) so nobody feels left behind 
•  The real-world stakes: blast radius, reliability, and why leaders tighten controls 
•  The security wake-up call: why secrets leak more often in AI-assisted workflows 
•  The practical fix: a disciplined operating model — Research → Plan → Build
•  Three common scenarios (bugs, migrations, integrations) and how to use AI safely in each 

This isn’t anti-AI. It’s pro-accountability.

If you’re leading a business, building a product, or experimenting with AI to code for the first time, this episode is your map into the frontier… with the seatbelt on.

Listener question: Where do you think AI creates the biggest risk for your org right now — speed, security, or understanding?

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