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Can I prompt AI to write reliable dbt SQL models?

Yes—provide source tables, desired grain, and model purpose. Ask for dbt-compliant SQL with tests (unique, not_null) and a YAML schema. Require comments on assumptions and a DAG note of upstream dependencies. Keep examples of expected rows to validate joins.

In practice

Include your naming conventions; models will slot into your DAG more cleanly.

Where to start

  1. [01]Generate a model skeleton and YAML.
  2. [02]Add tests and sample data checks.
  3. [03]Run locally and compare to expected rows.
  4. [04]Document in your dbt docs site.
dbt promptsSQL generation AIanalytics engineering LLM

Related questions

// 001How do I prompt AI to design or review APIs?// 002Can AI help generate QA test cases via prompting?// 003How do I prompt for better code generation?// 004How do I prompt AI to plan feature flag rollouts?

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Open source · Python