AI Analytics, with a build button
Metabase
32:03
What happens when your agentic development workflows come in contact with your engineering process?
Dashboards are becoming code. With the Metabase CLI, a dashboard is created as a YAML file, which means it gets everything code already gets: version control, review, CI/CD, without giving up the GUI when you'd rather just click. In this AI Analytics Week session, our dev advocate builds it live.
We'll get into:
- Turn a screenshot or a plain-English prompt into a real dashboard, then look at the YAML it just generated
- Check it into git, open a PR, review it like any other change, promote it from dev to prod
- Why this beats code-only BI tools: it's dashboards-as-code and GUI, same dashboards, both ways
- How MCP plugs Metabase into your agentic workflows as connective tissue, sitting alongside your other tools, running in production today
- A first look at what's coming next for building with Metabase (we're pretty excited about this one)
A session for anyone ready to build with Metabase, not just query it: analysts, developers, and data leads who've already started wiring AI coding tools into their stack, or want to. Come see how far the CLI and MCP already take you, and where data apps are headed next.
Speaker
Matthew Hefferon
Developer Advocate, Metabase
Matthew Hefferon is a Developer Advocate at Metabase. He’s worked on everything from internal analytics at Nintendo of America to leading a team of data visualization engineers focused on embedded analytics. In his spare time, he enjoys the beach, cooking, and blasting loud music while vibe coding with cursor.
AI Analytics, with a build button
32:03