Treat your data pipelines like code, because your agents already do | MotherDuck's Jordan Tigani
Notes de l’épisode
Your data warehouse still thinks a human is on the other end of the query. That's a problem MotherDuck CEO and co-founder Jordan Tigani knows from the inside, having spent years as a founding engineer on Google BigQuery. This week on Dev Interrupted, he joins Andrew to make the case that one warehouse per agent beats the distributed systems he used to work on. He lays out Watertown, his riff on Steve Yegge's Gastown that recasts the data engineer as the manager of a fleet of agents, and walks through how MotherDuck's Flights, Dives, and just-launched Guides keep pipelines, visualizations, and business context as code reviewed in GitHub.
Get the guide: Your software factory needs a context layer
Follow the show:
- Subscribe to our Substack
- Follow us on LinkedIn
- Subscribe to our YouTube Channel
Follow the hosts:
Follow today's guest:
- MotherDuck: The DuckDB-powered data warehouse built for small data and agents at motherduck.com
- Water-Town: Read Jordan's take on the agent swarm data stack, his riff on Gastown, at motherduck.com/blog
- Flights: Learn how MotherDuck turns data ingest into scheduled Python scripts your agents can write at motherduck.com/blog
- Dives: See how MotherDuck replaced its BI tool with LLM-written TypeScript visualizations at motherduck.com/blog
- Guides: Read the docs on MotherDuck's new Markdown context layer for agents at motherduck.com/docs
- MotherDuck Blog: Keep up with all things MotherDuck at motherduck.com/blog
- MotherDuck Community: Join the community Slack at community.motherduck.com
- Connect with Jordan: LinkedIn | X
OFFERS
- Start Free Trial: Get started with LinearB's AI productivity platform for free.
- Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
- AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
- AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
- AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
- MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.