Data engineers spend 60-80% of their time on integration plumbing. Almost none of it is the strategic work. Express.dev was built to give that time back. #ExpressDev #Nexla #DataEngineeringAgent #DataforAI #Nexla

The plan of next version(0.2.4) is out: github.com/Datus-ai/Datus-ag… 1) Dashboard Copilot (Auto-generation) Turn a BI dashboard URL into a scoped “dashboard copilot” (subagent) — automatically. We’ll also push attribution analysis forward with new tools, and start a BI adapter track for @apachesuperset . 2) Better SQL generation via a feedback loop We’re improving semantic model generation with CoT probe SQL reference SQL, and adding evaluation-driven knowledge generation (extracting “hidden knowledge” from success stories). Plus: a semantic layer adapter that supports more metric specs, and better context-tree recall via improved search tool specs default prompts. 3) Datus-chat Datus-cli UX Export/download, better SQL result rendering chart visualization, and recent action history in CLI. 4) New use cases Catalog integrations (starting with @apachepolaris ) interactive SQL editing with IDE. 5) Ecosystem expansion ClickHouse adaptor is on the roadmap. hashtag#DatusAI hashtag#DataEngineeringAgent hashtag#ReleasePlan

We’re building Datus, an open-source data engineering agent that turns context into a first-class asset. Blog 👇 datus.ai/blog/posts/meet_dat… #BuildInPublic #DataEngineeringAgent