Most of the frontend was built using LLMs, just like the frontend for almost all my projects over the past year.
LLMs handle this task much better and faster than I do.
I read the library's code and articles about its architecture, then visualized the concepts using GPT and local models.
I was pleased with the result and decided to publish it.
Honestly, I see no point in creating such visualizations manually these days - a model can do it much faster and better.
As for the articles, I write them entirely myself.
There are more of them now because I built a bot that takes posts from my Telegram channel, translates them into three languages, and publishes them to the site.
LLMs handle this task much better and faster than I do. I read the library's code and articles about its architecture, then visualized the concepts using GPT and local models.
I was pleased with the result and decided to publish it. Honestly, I see no point in creating such visualizations manually these days - a model can do it much faster and better.
As for the articles, I write them entirely myself. There are more of them now because I built a bot that takes posts from my Telegram channel, translates them into three languages, and publishes them to the site.