This is the hub for my personal projects, community contributions, and the tools I’ve crafted along the way. Whether it's open-source code, custom-built utilities, or anything else I’m tinkering with, you’ll find it here. Expect a mix of tech experiments, shared solutions, and the occasional wild idea — all aimed at making life (and code) a little smoother. Think of it as my digital workshop, where I offer back to the community!
Learn how to file a clear, useful GitHub issue—without summoning chaos into your repo. In this guide, I walk through reporting a real bug in my own Bash module and show exactly how to write the kind of issue maintainers actually enjoy reading.
While waiting for new hardware, I realized my AI server couldn’t stay by the balcony forever. Between kids with bags, a dying TV, and network cable limits, I set up remote access and planned a Wi-Fi upgrade to keep my project running smoothly
I benchmarked my home AI server with 88 cores against all my other machines, from an old MacBook Air to a modern M1 MacBook Pro. The results show surprising differences in single-core vs. multi-core performance—proving raw core count isn’t everything.
1. Introduction As you already know, I’ve been busy bringing my so-called "budget AI supercomputer" to life (quotation marks fully intentional). After all the assembly, cable wrangling, BIOS drama, and late-night Ubuntu installations, it was finally time
After nearly a decade of loyal service, my Dell XPS 15 9550 got a major birthday upgrade. From fixing a sticky panel to adding new Wi-Fi, RAM, and storage, I brought this old warrior back to life—and it’s now ready for another decade of work.
Everyone should know at least the basics of computers and programming. Why? Because the world runs on technology nowadays. Whether you’re managing your finances, ordering food, or building the next Mars rover, computers are at the heart of it all. And the more you know, the more you can do.
Before installing the OS on my DIY AI server, I faced the GPU puzzle: tight slots, PCIe 3.0 limits, and a pricey new PSU. After much research, I settled on an RTX 2080 Ti—ordered from eBay and now stuck waiting a month for delivery.
A look inside my home workspace and the machines that power it—from my M1 MacBook Pro to a virtualization-ready Mac Mini, a powerhouse HP workstation, and a Dell XPS. Each plays a unique role, balancing performance, stability, and creativity in my daily work.
I swapped in a 1300W PSU, added drives with heatsinks, wrestled with cable management, and installed Ubuntu 25.04. By 1 a.m., the panels were closed and my budget AI server was finally alive and ready for the next stage.
I added NVMe drives, old HDDs, and even a vintage GTX 960 to my budget AI ‘supercomputer.’ After some BIOS beeps and surprises, the system finally came to life—ready for Ubuntu and the next step in my AI server journey.
Ah, the journey to my current home-office setup – a saga that has left some people scratching their heads, wondering, "Why so many devices? Why not just one beast of a machine?" Well, my friend, let me walk you through the tech maze that led to this glorious collection.
I stripped my old PC down to its case and power supply, then rebuilt it with a dual-CPU X99 motherboard, 128 GB of RAM, and budget Xeons. Along the way, I made mistakes, learned lessons, and took the first real step toward my home AI server.