Accelerating analytics with AI

Use an AI-assisted workflow to implement a small dbt feature end-to-end, then create a simple custom dbt agent skill to reinforce the workflow. You’ll draft a change (model + tests + docs), review it with a structured checklist for correctness, efficiency, and maintainability, and turn the key best practices into a reusable skill. The goal is safe acceleration: moving faster without lowering engineering quality.

After this lab, you will be able to:

• Use AI assistance to draft a dbt change (model + tests + docs) and iterate with intent
• Apply a practical review checklist to validate correctness, performance, and maintainability
• Produce a ready-to-merge change that meets team standards for naming, documentation, and testing
• Create a simple custom dbt agent skill that captures and reinforces core best practices for future work
• Comfortable reading SQL

Prerequisites:

• dbt Fundamentals
• Comfortable reading SQL

What to bring: You must bring your own laptop to complete the hands-on exercises. We will provide any required sandbox environments for dbt and the data platform.

Duration: 90 minutes