I’m a big fan of Jendrik Illner’s Graphics Programming weekly issue, in which he shares interesting links related to advances in computer graphics, every week.
I realized over the course of one or two weeks, I, too, sometimes read quite a bit of pieces that I found interesting.
My digest won’t be about graphics programming in particular, but about a bit of everything. Sometimes tech, sometimes politics, sometimes some other completely unrelated subject.
I don’t have any goal of publishing weekly, but I hope to sometimes create an issue as interesting as Illner’s, in my own way at least. Here is a « first edition » about interesting things I’ve seen on the Internet recently.
Floating-Point Visually Explained
An article by the excellent Fabien Sanglard about another way to reason about how floating-point values are encoded in a computer.
This subject is infamous for its misleading complexity and caveats. Here, Sanglard tries to give a better explanation of how it works than what we usually see in textbooks. I didn’t give it a good try, but it looks cool.
https://fabiensanglard.net/floating_point_visually_explained
Game design is simple, actually
I read Raph Koster’s « A Theory Of Fun » book a few years ago, and I thought it was a good introduction to game design (if a little bit theoretical).
Here, he does it again by trying to explain what makes a good game in twelve points. It’s a bit difficult to read for someone who is not used to game design as a field of study and research, but as always, it leads to interesting insights on what makes a game fun.
https://www.raphkoster.com/2025/11/03/game-design-is-simple-actually
You Should Write An Agent
A lightning fast article by Thomas Ptacek that introduces you to writing a basic LLM-based AI agent using OpenAI’s Python API.
I haven’t tried myself yet, but it aims to show how easy it is to start your own AI bot with just a few lines of Python code. I hope it is as simple as the article suggests!
https://fly.io/blog/everyone-write-an-agent
‘When the dogs won’t eat the dog food’
A long, but interesting article from Business Insider about the rising use of AI inside Electronic Arts and the turmoil that the adoption of this technology creates among employees.
AI is pretty notorious for replacing people and shrinking the workforce. Hence, people are fighting from within to avoid automating themselves out of a job, while managers ask them to use AI whenever and wherever it’s possible. Trouble ensues.
I’m still kind of divided about AI. I understand the ecological and socioeconomic issues about it, and yet I cannot help but to think this is such a revolution that it’s going to be here to stay.
Yes, there will be fewer jobs, yes, there are risks about relying too much on AI (that, I’m not in favor of), but soon, if we want to have a job at all, we’ll have no choice but to make friends with it and be the best at utilizing it to improve our performance.
In the meantime, it’s going to be a tough balance to strike.
https://www.businessinsider.com/inside-ai-divide-roiling-video-game-giant-electronic-arts-2025-10
Video Encoding 101: A Comprehensive Guide
With the increasing popularity of video streaming platforms, it’s going to become more critical than ever for engineers to understand how video gets encoded, compressed, then decompressed and decoded.
This is a good tour of everything you need to know if you want to start dabbling in this field.
I always found video encoding very arcane: the « mainstreamity » of its end usage (who never watched a video on a computer?) is proportional to the complexity of the technology behind it.
It is usually about very low-level programming and crazy tricks that aim to solve drastic performance constraints. But maybe someday, I’ll have the courage.
https://imagekit.io/blog/video-encoding
See you next time!