21/08/2026: My agent.md to improve LLM-assisted code quality 17/08/2026: Quake shareware, a CD just a little too full 13/07/2026: Jurassic Park computers in excruciating detail 11/07/2026: A dock that finally wakes up reliably! 10/07/2026: Don't you meant extinct? 28/06/2026: My favorite keyboards 01/06/2026: The art…
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I love to have Linux as my main OS. For someone who spends most of his time programming, writing HTML, writing LaTeX, and browsing the net, it is nearly a perfect tool. Packages are one "apt install" away. Mounting my website is one sshfs away and with private key authentication I don't even have to type my password…
During the winter of 2024, I restored an IBM PS/1 486-DX2 66Mhz, "Mini-Tower", model 2168. It was the computer I always wanted as a teenager but could never afford. Words cannot do justice to the joy I felt while working on this machine.
I have been tinkering with the vanilla source code of Wolfenstein 3D from 1992. Even though it is more than 20 years old and has rotten for modern systems, you can still compile it if you recreate the environment. All you need is :
I was curious to explore how long a program takes to run, how much memory is used over time, and what processes/threads are spawned. To provide answers I wrote a tool, which I named st . Here are a few things I looked into.
As a retro-computer enthusiast, it seems that parts are either insanely expensive or dirt cheap. If the first case has obvious problems, the second can also lead to issues.
It is not often I am blown away by a piece of hardware. My Hall of Fame features the 1991 Super Nintendo, the 1995 3dfx1, and the 2010 Intel's Serie 520 SSD [1] . This past month my 2021 MacBook Pro M1 [2] joined the club.
The source code of Doom3 has been released three days ago :) ! I have started to read it and I will probably write a code review if enough people are interested. According to the README.txt the source code is building well with Visual Studio 2010 but it is not building at all on Mac OS X with XCode 4.0 ( it is…
I spent last week-end getting accustomed to CUDA and SIMT programming. It was a prolific time ending up with a Business Card Raytracer running close to 700x faster [1] , from 101s to 150ms. This pleasant experience was a good pretext to spend more time on the topic and learn about the evolution of Nvidia architecture…