#Python

Homelab dashboards tend to be either link boards with no real metrics or full monitoring stacks that feel like overkill. Buoy is the middle ground: one container per node that auto-discovers Docker services, shows system vitals, and polls peer nodes for a fleet view. No database, no build step.

The Pironman5 MAX has a tiny OLED on the front, and the stock software just loops a few system stats on a timer. I replaced it with a single orchestrator page running 15 info screens, 14 animated screensavers, and a health-aware alert mode. Here is how it works.

I got one of those “your key is expiring” emails from Humble Bundle, opened my library, and realized I had no idea how many unclaimed games were sitting there. So I wrote a tool. What followed was a crash course in everything Playwright throws at you when you’re automating a real, bot-averse, React-rendered storefront.

Augments started as a way to give my own AI workflows a consistent set of tools across machines. This is the story of what it does, what I left out, and the cybernetic-enhancements framing I leaned into.

A bash one-liner that lists your locally downloaded Ollama models, plus the equivalent in Python, Node.js, Go, and Rust. The command I kept rewriting until I just dropped it into a shell alias.

Overcome information overload with AI tools like Fabric. Intro on how I’m starting to augment and enhance how I consume and interact with content on the daily to learn more in less time.