dbt (Data Build Tool) is an influential tool that facilitates the creation and testing of data models while addressing issues like standardization and complex dependency management, and it integrates smoothly with cloud data warehouses such as Google Cloud BigQuery, Snowflake, and AWS Redshift. Its features include auto-generated documentation, customizable tests, and Jinja templating, but it can be cumbersome due to the need for multiple runs and manual checks. PopSQL, a SQL editor with built-in dbt Core support, simplifies this by allowing users to run, share, save, and visualize queries within an intuitive UI, enhancing the efficiency of dbt projects. PopSQL reduces context switching, aids in data exploration, streamlines model testing, and manages schema changes efficiently, promoting a more productive and less error-prone development environment. The integration is in beta, with a public release planned, and it offers features that improve the dbt development experience by consolidating tasks such as query testing, macro evaluation, and version control.