Notes on building better systems.
AI automation, on-call ops, and the engineering decisions that actually matter.
I audited my own credentials and found things I didn't expect
A practical walkthrough of scanning a homelab GitOps setup for exposed secrets — what I found, where I found it, and how I rotated everything without breaking anything.
Read post →Fear of being replaced by AI taught me to partner with it
Twenty years into an engineering career, I started worrying AI was coming for my job. Here's what I did about it — and what I learned.
Read post →From PayPal.me links to a real business stack — a T-shirt seller case study
A friend who sells custom T-shirts was running her business on Gmail, a shared Google Drive, and PayPal.me links. We replaced all of it with a self-hosted business stack on AWS in about an hour.
Read post →From Homelab to Business: How Running Your Own Infrastructure Changes What You Build
A decade of running production-equivalent infrastructure at home taught me things enterprise jobs couldn't. Then I turned it into a product. Here's the full story — the stack, the lessons, and how a lab becomes a business.
Read post →I automated the first 10 minutes of every on-call response
How I built alertmind — an AI-powered alert triage tool in Go that reduces on-call cognitive load by posting structured triage summaries before the engineer even opens their laptop.
Read post →Most AI integrations in engineering orgs fail. Here's why.
Three patterns that kill AI integrations before they deliver value — and the one thing the integrations that actually work have in common.
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