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Spotify Engineering Blog

10 articles on EngBrief

Spotify Engineering explores how the music streaming giant builds personalized experiences for hundreds of millions of users. Articles cover recommendation systems, audio processing, backend infrastructure, data pipelines, and the engineering culture behind one of the world's most-used apps.

RecommendationsAudio ProcessingData PipelinesBackend
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Latest Articles

Spotify5d ago

Coding Is No Longer the Constraint: Scaling Developer Experience to Teams and Agents at Spotify

Spotify's adoption of AI coding tools has led to a 99% adoption rate among engineers, with 94% reporting increased productivity and a 76% increase in pull request frequency. The introduction of Honk, a background coding agent, has allowed for complex code modifications and reduced the time required for migrations from weeks to just three days. By standardizing on a focused set of technologies and using tools like Backstage, Spotify's agents can collaborate effectively and provide accurate results, highlighting the importance of developer experience for agents as well.

MusicScale
1 min
Spotify21d ago

Better Experiments with LLM Evals — A funnel, not a fork

Spotify's engineers use Large Language Model (LLM) evals to assess the quality and relevance of content at scale, improving the hit rate of experiments and creating a feedback loop that refines both evals and experiments over time. LLM evals belong in an evaluation funnel, not as a replacement for experiments, to verify if the content change intended does what it's supposed to, before testing if it drives the desired business outcomes. Traditional metrics focus on verification, while evals also generate hypotheses for improvement. However, the evals' limitations include not accounting for secondary metrics like session length or crash rates, requiring offline-evaluation for calibration against online outcomes to avoid miscalibration.

MusicScale
1 min
SpotifyMay 1, 2026

Building a Natural Language Interface to the Spotify Ads API with Claude Code Plugins

Spotify Engineering developed a Claude Code plugin to provide a natural language interface to the Spotify Ads API. The plugin translates user requests into full Spotify Ads API campaign structures using Markdown files, a bash script, and Python helpers. This allows users to describe campaign requirements in plain English, reducing the cognitive distance between intent and execution.

MusicScale
1 min
SpotifyApr 22, 2026

Background Coding Agents: Supercharging Downstream Consumer Dataset Migrations (Honk, Part 4)

Here's a 2-3 sentence summary of the blog post: Spotify's data team used background coding agents (Honk) to automate the migration of 1,800 downstream data pipelines to new dataset versions, saving an estimated 10 engineering weeks. To simplify the process, the team leveraged Spotify's Backstage and Fleet Management platforms to identify target repositories and orchestrate the migration, while fine-tuning the prompt to provide Honk with the necessary context. The successful rollout of 240 automated migration PRs highlighted the importance of standardizing their data landscape and enforcing testing requirements for agents like Honk to excel in large-scale migrations.

MusicScale
1 min
SpotifyApr 6, 2026

Let’s Talk Agentic Development: Spotify x Anthropic Live

Spotify and Anthropic collaborated on a live fireside chat to discuss agentic-first development and its implications on software development at scale. Key highlights include Spotify's background coding agent, Honk, which uses Anthropic's Claude to perform complex software migrations across thousands of repositories. The conversation also touched on context management, accountability, and the need for agents to take on the full software lifecycle, including maintenance and deletion. Spotify's experience with Honk shows that agents can significantly change the way developers work, with some even @mentioning agents on Slack to solve problems. Anthropic's David Soria Parra notes that the shift to agentic-first development has been profound, with people transitioning from using Integrated Development Environments (IDEs) to terminals. Anthropic's Christian Ryan emphasizes the importance of standardizing ecosystems and orchestrating Claude across thousands of repositories, suggesting that having a simple, reproducible setup is key to giving agents the right context at enterprise scale.

MusicScale
1 min
SpotifyMar 12, 2026

Inside the Archive: The Tech Behind Your 2025 Wrapped Highlights

What if we could identify interesting listening moments from your year, and tell you a story about them? The post Inside the Archive: The Tech Behind Your 2025...

MusicScale
1 min
SpotifyFeb 19, 2026

Our Multi-Agent Architecture for Smarter Advertising

When we kicked this off, we weren’t trying to ship an “AI feature.” We were trying to fix a structural... The post Our Multi-Agent Architecture for Smarter...

MusicScale
1 min
SpotifyFeb 9, 2026

How We Release the Spotify App: A Look Under the Hood (Part 2)

In Part 2, we will peek under the hood at the tooling that makes the Spotify release process possible. The post How We Release the Spotify App: A Look Under...

MusicScale
1 min
SpotifyJan 22, 2026

Congratulations to the recipients of the 2025 Spotify FOSS Fund

TL;DR Established in 2022 as a way to help support the great open source ecosystem projects that Spotify... The post Congratulations to the recipients of the...

MusicScale
1 min
SpotifyJan 7, 2026

Why We Use Separate Tech Stacks for Personalization and Experimentation

The technical and practical rationale for a clear separation between these domains. The post Why We Use Separate Tech Stacks for Personalization and...

MusicScale
1 min