The article demonstrates automating dbt model creation using GitLab Duo Agent. It begins by outlining the need to streamline manual dbt model creation for data engineers, specifically for Reddit Ads data. The process involves extracting table structures from Snowflake using a query and exporting the results as a CSV file. Then, GitLab Duo's VS Code plugin is used with a specific prompt to generate both source and workspace dbt models. The prompt references a previous example and the dbt style guide for consistency. GitLab Duo processes the CSV data, generates SQL code, and creates necessary dbt files, including schema and source configurations. The generated code includes deduplication logic, tests, and documentation, significantly reducing manual effort. Finally, the article presents a validation query, created by GitLab Duo, to compare row counts between raw and workspace layers, ensuring data integrity. The author successfully built and tested the generated models.