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This is a continuation of a series of posts about building tiny "clones" of popular web frameworks. Web is changing rapidly, and so the tools we use to build web apps (yet, I'm sincerely happy that my React/Vue posts are now seven years old, and those fra

Every good abstraction solves a problem, and this post will cover everything I know so far about a brilliant math abstraction - tensors. Neural networks, from a simple 2-layer MLP to GPT-5, all boil down to the same thing: floating-point numbers flowing t

We love coding agents. They can build a full-featured SaaS and potentially make you a millionaire if you leave them running overnight with the right prompt. They will burn your GPU or your budget, include a few unprompted vulnerabilities, will bloat your

VisiCalc Spreadsheets rule the world for almost half of a century. I strongly believe that it's one of the best UXs ever created. Being fairly minimal and easy to learn, it allows users to quickly manipulate data, describe logic, visualise results, or eve

When people talk about computer vision, they usually think of OpenCV or deep neural networks like YOLO. But in most cases, doing computer vision implies understanding of the core algorithms, so you can use or adapt them for your own needs. I wanted to see