Algorütm

Algorütm is a technology show centered on developers talking to developers, with a strong recent run of episodes about AI in practical software work. It sounds casual, but the subject matter is serious. The conversations move quickly from studio setup, jokes, and sponsor reads into questions that teams are actually facing. Who is responsible when an AI-backed product fails? How should a bank use models without treating them as a black box? What happens to programming education when students can step into the corridor, ask a model for help, and return with an answer? The show is especially interested in that gap between a flashy demo and the harder reality of daily work. It follows AI into fintech, classrooms, adult career changes, developer tooling, agentic coding frameworks, and home infrastructure for running models locally. Some episodes are broad and philosophical. Others get concrete enough to talk about network traffic, latency, storage, clusters, and how development teams wire agents into review flows. The interview style gives guests room to explain, revise, and argue their way toward useful distinctions. The result is not a clean lecture. It is closer to listening to technical people think aloud together while trying to keep the hype honest. Algorütm works best for listeners who enjoy both the strategic and the hands-on sides of software: why a tool matters, where it breaks, and what it demands from people, processes, and systems.