Engineering Atspotify
3 articles
3 articles
At Spotify, data problems used to follow a specific pattern. You'd look for the relevant dashboard, there weren't any. You'd message the corresponding data expert on Slack, wait until they had time to help. But with thousands of teams moving fast, the demand for data insights had quietly outpaced what any individual expert could handle alone.
Spotify developed Ads AI, a multi-agent system using Google's Agent Development Kit and Vertex AI with specialized agents working in parallel to generate optimized media plans, reducing planning time from 15–30 minutes to seconds.
Spotify built an internal CLI leveraging LLMs to automate complex code migrations and maintenance tasks across their Fleet Management platform, generating over 1,500 merged pull requests with 60–90% time savings compared to manual implementation.
At Spotify, data problems used to follow a specific pattern. You'd look for the relevant dashboard, there weren't any. You'd message the corresponding data expert on Slack, wait until they had time to help. But with thousands of teams moving fast, the demand for data insights had quietly outpaced what any individual expert could handle alone.
Spotify developed Ads AI, a multi-agent system using Google's Agent Development Kit and Vertex AI with specialized agents working in parallel to generate optimized media plans, reducing planning time from 15–30 minutes to seconds.
Spotify built an internal CLI leveraging LLMs to automate complex code migrations and maintenance tasks across their Fleet Management platform, generating over 1,500 merged pull requests with 60–90% time savings compared to manual implementation.