NerdOut@Spotify

<p>How do you build a culture of experimentation inside a 100-year-old institution?</p><p>This episode is part of our special miniseries on product experimentation where we go beyond A/B testing basics to explore how teams build experimentation culture, move faster with data, and make smarter product bets in practice.</p><p>Hosting this series are two of Spotify’s finest experimentation nerds: Luke Frake, group product manager for subscriptions, and Mårten Schultzberg, staff data scientist for S

<p>What happens when a seven-person data team restarts an experimentation program from scratch — and gets the whole company running experiments within months?</p><p>Welcome to the first episode of our special miniseries on product experimentation. Now that you can build almost anything faster than ever, what matters most is learning what to build, what to keep, and what to put back on the shelf. Over the next few episodes, we go beyond A/B testing basics to explore how teams build experimentatio

<p>What does it take to ship a video-first Spotify experience on the biggest screen in your house?</p><p>In this Release Notes episode of the NerdOut@Spotify podcast, you’ll hear about the redesigned Spotify app on Apple TV — why we rebuilt it, what it took to build a fully native tvOS app from the ground up, and how we evolved from a templated TVML-based UI to a modern, pixel-perfect experience.</p><p>The result is a faster, more visual experience tailored for a bigger screen, with expanded vid

<p>At Spotify, we&#39;re doubling down on background coding agents. The goal is to scale code migrations and boost developer productivity beyond our existing automation system. Built on top of Fleet Management and supercharged by Claude Code, these agents make their own code changes and pull requests. What could possibly go wrong?</p><p>Engineers Jo Kelly-Fenton, Aleksander Mitic, and Max Charas join host Dave Zolotusky to unpack how we’ve merged thousands of AI-generated PRs while keeping codeb

<p>In part two of ARM-ing ourselves with Google Axion, Dave is joined by Max Charas, a senior staff engineer at Spotify who’s been leading much of the migration work on our Google Axion journey, for a deep dive into the validation and technical side of our move to Google’s new ARM-based processors.</p><p>Dave and Max unpack what went smoothly, what got bumpy, and what you only discover when you try to run thousands of services on brand-new silicon. Expect the usual nerdiness — performance gains,

<p>Spotify is in the middle of a big shift in modern computing: moving from x86 processors to Google’s new ARM-based Axion chips. This isn’t just a hardware swap — it’s a disruptive change with ripple effects across performance, efficiency, and sustainability.</p><p>In this episode, we sit down with Mo Farhat, Group Product Manager for Google Compute Engine, to unpack what makes ARM so game-changing in the data center. From the history of ARM’s rise, to the challenges of designing chips for hype

<p>Hear about the journey behind building Spotify’s AI knowledge assistant, aka AiKA — from hack projects to internal chatbot, to enterprise developer tool.</p><p>While general purpose chatbots are being used everywhere, they often fall short when it comes to navigating company-specific information — like which internal policy applies to your team or where to find the doc someone shared in Slack three months ago. That’s why we built AiKA. Using retrieval-augmented generation (RAG), AiKA taps int

<p>Last year Spotify launched a big update to the app: a new typeface. </p><p>For most of us, changing fonts is easy. It’s just a dropdown menu away. But creating a whole new typeface and then rolling it out across 45 unique platforms, and over 2,000 types of devices spread across 200 brands – that’s not so simple. </p><p>This brand new font is called Spotify Mix and it was made just for Spotify. From playlists to microsites and billboards, it’s what you’ll see everywhere you see Spotify, repres