Bluesky leans into AI with Attie, an app for building custom feeds

Bluesky's move into AI-powered feed customization signals a shift in how decentralized platforms will compete for user engagement. As data engineers, we should pay attention to the architectural implications here: atproto's open protocol means feed algorithms become composable data products rather than monolithic black boxes. This mirrors patterns we're seeing in modern data stacks where transformation logic increasingly lives closer to consumers than centralized warehouses. The practical takeaway? Teams building on decentralized protocols will need stronger capabilities around algorithm versioning, schema evolution, and multi-tenant data isolation. If Attie succeeds, we'll likely see more tools abstracting away the complexity of building statistical models directly against protocol-level data. Start experimenting with how your ELT pipelines could expose algorithmic interfaces rather than just tables. The winner won't be whoever builds the best feed—it'll be whoever makes feed-building so accessible that domain experts can own their algorithms without needing ML engineers.