mgechev/programming-podcast-samples

This repository contains code samples that accompany the "Programming" podcast. The podcast discusses software engineering concepts, algorithms, and development topics, and this repo serves as a companion resource where listeners can find the actual code referenced in episodes. For anyone who learns better by seeing rather than just hearing, this bridges the gap between audio explanations and practical implementation. When an episode explores a particular algorithm, data structure, or programming concept, the corresponding TypeScript code lives here so you can study it, run it yourself, and experiment with how it works. The audience is primarily listeners of the podcast who want to deepen their understanding of the topics discussed. If you're a beginner or intermediate developer following along with an episode about, say, how a specific sorting algorithm works or how a particular pattern is implemented, you can come here to read through clean, working examples. Founders and product managers who occasionally tune into technical podcasts to build their knowledge might also find it useful for seeing concepts in a concrete form. The README doesn't go into detail about which specific episodes or topics are covered, so you'd need to browse the repository structure itself to see what code samples are available. Given the small number of stars, it appears to be a modest companion project rather than a standalone tool or framework. The project is built in TypeScript and licensed under MIT, meaning the code is freely available to read, use, and learn from without restriction. It's essentially a straightforward reference collection rather than a complex application.