AI Insights & Resources
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Loop Engineering: Stop Prompting Your Coding Agents, Start Designing the Loops That Prompt Them
The next step past prompt engineering isn't a better prompt — it's not writing the prompt at all. Loop engineering is the practice of building the scheduled, self-triaging systems that decide what your coding agent works on, run it in a safe sandbox, and check its work before anything ships.
When the Math Flips: Two Schools of Loop Engineering, and the One Thing They Agree On
Two of the sharpest write-ups on loop engineering reach the same starting point and then split. One says your job is now to write loops; the other says your real job is knowing which loops are worth writing at all. Where they agree is the machinery. Where they collide is the mandate — and that's the part worth arguing about.
Building Your First AI-Powered Application
A practical guide to integrating AI capabilities into your applications using modern tools and best practices.

The Compression Engine: From Fire to AI, One Ancient Technology
AI isn't a discontinuity in human history—it's the latest branch on an ancient tree. Humans have been compressing complexity into portable forms since language itself.
Getting Started with AI in Small Business
Learn how to implement AI solutions that drive real business value, from data preparation to model deployment.
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Build for the Command Line Era. The OS Is Coming.
AI isn't a new operating system—it's the new command line. And that's not a criticism, it's a recognition of where we are in a remarkable technological evolution.