Hi @Rjify! We're so excited to see you mention this. We're actually setting up a project to work with the Databricks team to build out their IDE support and figure out best-practice ways of developing Kedro projects on Databricks. In our current sprint, we're fixing some of the bugs we've found while using Kedro on Databricks. We have suggested some workflows and will update our documentation. You can work with Databricks and Kedro with: - Packaging a Kedro project with

kedro package

and publishing the package using the Databricks DBFS API - Using Databricks Repos functionality and doing a pipeline run through a Databricks notebook