It's beautiful how the very computer sciency algorithm explanations (graphs, searches, seeds, etc) go hand in hand with the very concrete visualizations to make it very clear. There's a powerful feeling of "hey I could do that", which is great for an article like this.
It almost makes me remember how much fun game development can be. :) Thanks!
Thinking of "hey I could do that", here's one of my favourite articles, on the making of the game Sensible Soccer. I end up rediscovering and rereading it every few years, and every time I do I feel the urge to site down and write a football game, despite having no real interest in sport. It makes a complex goal feel very achievable:
Ah, super interesting and it introduced me to Tracery (which is nice because I have my own text generation tool and it's gratifying to see that Tracery's grammar isn't that far off what I evolved for mine. Although the "saving" functionality is cleaner than mine and I'll probably steal that idea. :)
Fantastic read, I’ve done some work adjacent to this for real life mapping and coming up with clean algorithms for this stuff is so satisfying. This was particularly well explained
It's beautiful how the very computer sciency algorithm explanations (graphs, searches, seeds, etc) go hand in hand with the very concrete visualizations to make it very clear. There's a powerful feeling of "hey I could do that", which is great for an article like this.
It almost makes me remember how much fun game development can be. :) Thanks!