make_cool_pic.py

make_cool_pic.py is a recurring personal study where I explore making visual artwork directly through programming.

Rather than using machine learning or AI models that “learn” how to produce images, this work focuses on writing the logic that creates the image itself. Every shape, color, pattern, and variation comes from explicit formulas and rules — closer to drawing with mathematics than training a system to imitate images.

I return to this project regularly as a way to experiment, play, and refine ideas around procedural art, shader math, and generative aesthetics. It connects deeply to my broader interests in digital entertainment, real-time rendering, and how simple equations can produce complex, expressive results.

At its core, this project is about curiosity and authorship: exploring what happens when art is created directly through code, and revisiting that question over time as tools, ideas, and my own sensibilities evolve.

Alex Stevovich is an independent polymath guided by a self-directed perspective. His projects focus on original content and innovation developed through discovery-driven work grounded in first-principles thinking.