A developer podcast that helps turn vibe coders into software engineers, one episode at a time.
We share field-tested, practical ways to use AI coding tools while shipping production-grade software. We cover failure modes so the tooling makes your code better, not worse.
Fragmented was previously the leading Android developer podcast (back catalog is still here).
You already know how LLMs work — text into tokens, tokens into math, predict the next one. Image generation uses the same broad ideas but flips the training game: instead of predicting the next token, the model learns to predict and remove noise. Starting from pure static, it chips away — step by step — until a coherent image emerges. What does Michelangelo have to do with any of this? More than you’d think. This is how image diffusion models work, in 20 minutes.
