Post by RudderStack

Tabnine is an enterprise AI coding platform that generates more than 300 code-completion events per developer per hour. It runs continuously inside developers' IDEs, so understanding developer behavior is far more complex than in traditional applications. Their in-house infrastructure couldn't keep up: Hard-coded pipelines made adding sources slow, and developer identity stayed fragmented. They needed an agentic CDP built for the AI era. With RudderStack, they rebuilt their data foundation: → Events collected once and routed through a centralized pipeline → Transformations handle PII masking, geolocation enrichment, and normalization → Data lands in Snowflake, where dbt models surface feature adoption and product intent signals → Reverse ETL syncs warehouse-derived traits back to Mixpanel, Customer.io, HubSpot, and ad platforms As Tabnine engineer Nimrod Astarhan put it, "The best thing about our data infrastructure is that you rarely hear about it. It just works." Every team now works from the same trusted data. Read the full case study to see how. Link in comments