Browse past weeks of engineering reads.
Spotify needed to reduce friction in data discovery and analytics by enabling non-technical users to ask natural language questions about data without requiring dashboard navigation or SQL expertise.
Efficiently evaluating and validating LLM-generated outputs at scale during experimentation without manual review bottlenecks.
How to identify and surface the most interesting and meaningful listening moments from a year's worth of user streaming data to create personalized narrative highlights for Wrapped.
Spotify needed to optimize ad targeting and delivery at scale by coordinating multiple specialized systems to make smarter advertising decisions rather than relying on monolithic ad selection logic.