Spotify Engineers Haven’t Written Code Since December, Thanks to AI

In a striking demonstration of artificial intelligence’s growing impact on the tech industry, Spotify revealed that its top developers haven’t written a single line of code since December. The company is leveraging AI tools, specifically an internal system called “Honk” powered by Anthropic’s Claude Code, to accelerate software implementation and bug fixes.

AI-Powered Development at Spotify

Spotify co-CEO Gustav Söderström announced the shift during the company’s fourth-quarter earnings call [TechCrunch]. “Honk” enables remote, real-time code deployment using generative AI. Söderström described a scenario where an engineer can instruct Claude via Slack on their commute to fix a bug or add a feature to the iOS app, receiving a deployable version before arriving at the office [TechCrunch].

Increased Feature Velocity

The integration of AI has significantly boosted Spotify’s development speed. Throughout 2025, the company launched over 50 new features and updates to its streaming app [TechCrunch]. Recent additions include AI-powered Prompted Playlists, Page Match for audiobooks, and the “About This Song” feature [TechCrunch].

A Unique Dataset for AI Training

Spotify is similarly focused on building a proprietary dataset tailored to music-related queries. Söderström highlighted that this dataset is difficult for other large language models to replicate, as answers to music-related questions are often subjective and vary based on geography and personal preference [Economic Times]. This unique data source is intended to improve the personalization and recommendation capabilities of its AI models.

AI and Music Creation

Spotify is also addressing the implications of AI-generated music. The company allows artists and labels to indicate how a song was created in metadata and continues to monitor the platform for misuse [TechCrunch].

The Future of AI in Software Development

Söderström indicated that Spotify views this AI integration as just the beginning, foreseeing further advancements in AI-driven development [TechCrunch]. The company’s experience suggests a potential shift in the role of software engineers, with AI handling more of the coding workload and engineers focusing on higher-level tasks like design and strategy.