Data Engineering Postcard Series

From prompt hacks to a unified agentic runtime for analytical work.

In this walkthrough, we explore how developers and data teams can use the combination of Rill Data + Google Antigravity to build, modify, and scale analytics workflows entirely in code.

At Rill, we’ve been building for high-concurrency, high-volume analytics workloads from the start. In this post, I’ll focus on the semantic layer — because in agentic analytics it’s the only layer that can simultaneously understand user intent, data topology, and execution cost.