I'm a professional nerd. I've written Python since the late nineties: web backends, data pipelines, machine learning, and the unglamorous work of keeping all of it running in production. The essays, free tools and books here are what I've learned. I also take on a few consulting clients at a time.
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In 1899 the New York Times called the automobile "unutterably ugly" and a livery stable owner told the Park Board cars were "too costly for the ordinary person." By 1930 there were 26.7 million of them. I went through the old newspapers, the Census tables and the current AI numbers side by side. The arguments are the same, the curve is the same, and the people who lost their jobs were not the ones who were great at them.
Quick, honest diagnostics for developers and founders. Answer a few pointed questions, get a custom-written analysis with hand-picked reading from twenty-plus years of getting it wrong (and occasionally right).
A quick diagnostic to see if your app is ready to ship or if you're about to learn some expensive lessons.
Are you actually getting smarter with AI, or just moving faster toward the same mistakes?
No trick questions, no LeetCode - just a straight read on where you actually are.
A brutally honest check on whether you're building a business or just delaying the inevitable.
Run this before you sign the offer letter. Some of these you can't unsee.
AI systems have a whole new category of security problems. Do you know where yours are?
A practical guide to data architecture for small teams.
You added AI features and got told you need a vector database, a graph database, and three new systems to run them. You don't. Start with one relational database, add pgvector, and stay on the short path — with the exact thresholds for when to add each piece.
Was $9.99 · instant PDF delivery
The founder's guide to deploying AI-coded apps.
No DevOps background required. A simple, repeatable workflow that gets your AI-coded app from prototype to real users — without the 47-step Kubernetes detour.
A field guide to AI security for the people actually shipping it.
Prompt injection, leaked secrets, jailbroken agents, runaway tool calls — AI systems have a whole new category of security problems. This is the book I wish existed before I had to learn each one the hard way.
How to build, ship, and scale with AI as your strategic force multiplier.
A practical playbook for founders using AI across product, ops, and growth without turning their company into an automation-shaped mess.
New essays every few days. Mostly Python, AI, databases, and the not-so-glamorous middle of running software in production.
