PodcastsTechnologieNerdOut@Spotify

NerdOut@Spotify

Spotify R&D
NerdOut@Spotify
Nieuwste aflevering

38 afleveringen

  • NerdOut@Spotify

    35: How Huel Experiments at Scale: Beyond A/B Tests

    28-05-2026 | 36 Min.
    What happens when a seven-person data team restarts an experimentation program from scratch — and gets the whole company running experiments within months?
    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 experimentation culture, move faster with data, and make smarter product bets in practice.
    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 Spotify’s experimentation platform, Confidence (confidence.spotify.com).
    In this first episode, we head outside Spotify to explore how Huel, the UK-founded nutrition brand, approaches experimentation across a rapidly growing omnichannel business. Unlike pure digital products, Huel sells direct-to-consumer on its own site, on Amazon, in supermarkets, and on TikTok Shop — which means you can't always rely on a classical A/B test to measure what's working.
    Luke and Mårten are joined by Bhav Patel, Data Director at Huel, to dig into how his lean team rebuilt Huel's experimentation culture from the ground up. They discuss why Huel lets experiment ideas come from anyone and how a founder-led, data-first culture drove strong adoption of experimentation across the entire org. You'll hear how Bhav's team tackles the unique challenges of omnichannel measurement: building synthetic control groups to evaluate TV ads, running geo-lift tests, and stitching together fragmented user data across platforms, plus how AI is fast-tracking experiment design and more.
    If you care about building better products with data, check it out — and stay tuned for more episodes in this series dropping soon.
    Learn more about how we experiment at Spotify:
    Dive deep into experimentation nerdiness on the Confidence blog

    👉 Here’s a good post to start with: “Beyond Winning: Spotify's Experiments with Learning Framework”

    Get started with Spotify’s product experimentation platform: Confidence 

    Become an experimentation expert with our free experimentation bootcamp

    Follow the Confidence team on LinkedIn for product updates, event announcements, experimentation insights, and more

    👋 Follow Luke on Linkedin

    👋 Follow Mårten on Linkedin

    Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com
    You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!
  • NerdOut@Spotify

    34: Redesigning our Apple TV App *Release Notes*

    05-03-2026 | 21 Min.
    What does it take to ship a video-first Spotify experience on the biggest screen in your house?
    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.
    The result is a faster, more visual experience tailored for a bigger screen, with expanded video support, AI DJ, on-screen lyrics, and improved navigation across the app.
    Along the way, we dig into tvOS focus-based navigation, service runtime and dependency wrangling, and the important role AI coding agents played in helping us move faster — from generating UI from Figma designs, to mapping complex dependency trees, to automating visual diffs for pixel perfection.
    The new Spotify app is available on the Apple TV App Store now.
    Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com

    You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!
  • NerdOut@Spotify

    33: Ship Happens (When Agents Code)

    15-01-2026 | 49 Min.
    At Spotify, we'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?
    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 codebases consistent and secure. They’ll dig into what it takes to let agents touch production code at scale: sandboxing and security, handling context windows, wiring into CI, and building verification loops that still trust humans more than agents.
    You’ll hear real-world failure modes (like agents “fixing” tests by deleting them), how using an “LLM as a judge” flags sketchy diffs before they land, and how engineers and PMs are now triggering agents directly from Slack for migrations, documentation fixes, and feature flag rollouts. 
    It’s a candid look at what increasing reliance on AI-based tooling means for the future of engineering — and for safely shipping code at speed.
    Learn more about our journey with background coding agents:
    1500+ PRs Later: Spotify’s Journey with Our Background Coding Agent (Part 1)

    Background Coding Agents: Context Engineering (Part 2)

    Background Coding Agents: Predictable Results Through Strong Feedback Loops (Part 3)

    AI Engineer Paris 2025: Rewriting all of Spotify's code base, all the time

    Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com
    You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!
  • NerdOut@Spotify

    32: ARM-ing Ourselves with Google Axion, Part 2

    19-11-2025 | 36 Min.
    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.
    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, per-core scaling, bin-packing puzzles — as well as look at the less glamorous bits like discount models, capacity planning, and the logistical reality of working with real hardware. Because as it turns out, the hardest parts weren’t always technical. It was the massive coordination effort behind them that became a logistical puzzle on a global scale.
    This episode is a practical look at how a large-scale system evolves when its foundation shifts — and how much just works when you’ve built solid abstractions.
    Learn more about Google Axion Processors: 
    Leading processors custom-built for cloud workloads

    Introducing Google Axion Processors, our new Arm-based CPUs

    C4A VMs now GA: Our first custom Arm-based Axion CPU

    Axion in action: Unlock price-performance and efficiency with Google Axion VMs

    The Impact of Google Cloud’s Arm-Based Axion Chip: Explained

    Benchmarks Of Google's Axion Arm-based CPU: Competitive Performance & Compelling Value

    Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com
    You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!
  • NerdOut@Spotify

    31: ARM-ing Ourselves with Google Axion, Part 1

    08-10-2025 | 31 Min.
    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.
    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 hyperscale workloads, to why this transition matters for the future of cloud computing, Mo offers a look inside how Axion was built and why now is the tipping point for ARM.
    If you’ve ever wondered what really powers the services you use every day — and why Spotify is betting on Axion — this is the episode to listen to.
    Learn more about Google Axion Processors: 
    Leading processors custom-built for cloud workloads

    Introducing Google Axion Processors, our new Arm-based CPUs

    C4A VMs now GA: Our first custom Arm-based Axion CPU

    Axion in action: Unlock price-performance and efficiency with Google Axion VMs

    The Impact of Google Cloud’s Arm-Based Axion Chip: Explained

    Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com

    You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!
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Over NerdOut@Spotify
NerdOut@Spotify is a technology podcast produced by the nerds at Spotify and made for the nerd inside all of us. Hear from Spotify engineers about challenging tech problems and get a firsthand look into what we're doing, what we're building, and what we’re nerding out about at Spotify every day.
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