The Tollbooth Model Is Over

AI vendors are selling token economies the way telcos sold long distance minutes. Right before the infrastructure made the metering model indefensible. Here’s what comes after it. That pattern has held for sixty years. Every abstraction relocated expertise upward. The agent layer is where it gets tested, because this time the abstraction doesn’t reach your … Read more

Your CLAUDE.md Is the Most Important File Claude Code Never Wrote for You

Open up Claude Code on a new project and start prompting. It’ll work. You’ll get code, suggestions, refactors. But watch closely and you’ll notice something: Claude is making assumptions everywhere. About your folder structure. Your testing conventions. Your preferred error handling patterns. How you name things. Where things go. It’s like onboarding a new developer … Read more

How to Write Prompts That Actually Work: A Framework for Getting Better Results from Claude

“Help me with a presentation.” Five words, zero useful context. Claude will give you something back, but it’s essentially guessing your audience, your goals, and your format all at once. Compare that to a prompt that specifies ten slides, a quarterly sales audience, and three key topics. Same model, wildly different output. We’ve been using … Read more

AWS Bedrock + Claude Code: The Infrastructure Layer That Makes Everything Else Possible

This is Part 2 of our series on building a production-grade AI development workflow. Read Part 1: Why Your AI Coding Setup Will Eventually Hurt You Last week we talked about why most AI coding setups quietly fall apart — context limits, scattered tooling, no memory between sessions. This week we’re building the foundation that … Read more

Why Your AI Coding Setup Will Eventually Hurt You

I’ve spent the last six years building production AI infrastructure for Baur Software. Not the kind you see in LinkedIn carousel posts with perfect Mermaid diagrams. The kind that runs unattended overnight, manages real AWS resources, and hasn’t deleted anything important. Yet. The gap between “works on my machine” and “I trust this with production … Read more

The Abstraction Myth: Why AI Will Not Replace Developers

Every generation of developers has been told their jobs are about to disappear. Compilers were supposed to eliminate programmers. Virtualization was supposed to eliminate sysadmins. Cloud was supposed to eliminate data centers. Automation was supposed to eliminate ops teams. None of it happened. What actually happened: expertise relocated. It did not disappear. Punch card operators … Read more

Why We Include Advisory Services with Our AI Work

The landscape of artificial intelligence is evolving at a breakneck pace. Every week brings new models, capabilities, possibilities. We’ve observed a consistent pattern: the technical implementation of AI is rarely the hardest part. The real challenge lies in knowing what to build, when to build it, and how it fits into your broader business strategy. … Read more