Stop treating AI like magic; it's Autoconf on steroids

Remember autoconf? If you were building software in the late ’90s or early 2000s, you probably have scars. You’d write some configuration rules, run the tool, and out popped a perfectly functional makefile. It felt like magic, until it didn’t. The moment autoconf broke, you were debugging generated shell scripts that stretched for thousands of lines. The abstraction that seemed so elegant suddenly became opaque hell. You needed to understand not just what you wanted, but how the magic worked, where it could fail, and why. ...

October 2, 2025

The signal-to-noise problem: why breaking work down for LLMs is harder than it looks

Last week, I was reviewing an outline I worked on with an LLM agent for a technical article. It looked solid: comprehensive sections, logical flow, all the boxes checked. But something was off. On a hunch, I removed a section that was good (but didn’t quite fit) entirely. The result? Not only did the article flow better, but when I ran it through quality scoring, they all rated the shortened version higher. The very tools that helped created the meandering narrative recognized the improved signal when it was removed. ...

September 6, 2025