>>> [CLI] bundle init default-python --config-file ./input.json --output-dir output

Welcome to the default Python template for Databricks Asset Bundles!
Warn: Failed to detect if serverless is supported: /api/2.0/settings-api/workspace/900800700600/serverless_job_nb failed: Internal Server Error
Workspace to use (auto-detected, edit in 'my_default_python/databricks.yml'): [DATABRICKS_URL]

✨ Your new project has been created in the 'my_default_python' directory!

Please refer to the README.md file for "getting started" instructions.
See also the documentation at https://docs.databricks.com/dev-tools/bundles/index.html.
--- [TESTROOT]/bundle/templates/default-python/serverless-auto-error/../classic/output/my_default_python/README.md
+++ output/my_default_python/README.md
@@ -38,8 +38,10 @@
    $ databricks bundle run
    ```
-
-6. Optionally, install developer tools such as the Databricks extension for Visual Studio Code from
-   https://docs.databricks.com/dev-tools/vscode-ext.html. Or read the "getting started" documentation for
-   **Databricks Connect** for instructions on running the included Python code from a different IDE.
+6. Optionally, install the Databricks extension for Visual Studio code for local development from
+   https://docs.databricks.com/dev-tools/vscode-ext.html. It can configure your
+   virtual environment and setup Databricks Connect for running unit tests locally.
+   When not using these tools, consult your development environment's documentation
+   and/or the documentation for Databricks Connect for manually setting up your environment
+   (https://docs.databricks.com/en/dev-tools/databricks-connect/python/index.html).
 
 7. For documentation on the Databricks asset bundles format used
--- [TESTROOT]/bundle/templates/default-python/serverless-auto-error/../classic/output/my_default_python/databricks.yml
+++ output/my_default_python/databricks.yml
@@ -23,9 +23,7 @@
     workspace:
       host: [DATABRICKS_URL]
-      # We explicitly specify /Workspace/Users/[USERNAME] to make sure we only have a single copy.
+      # We explicitly deploy to /Workspace/Users/[USERNAME] to make sure we only have a single copy.
       root_path: /Workspace/Users/[USERNAME]/.bundle/${bundle.name}/${bundle.target}
     permissions:
       - user_name: [USERNAME]
         level: CAN_MANAGE
-    run_as:
-      user_name: [USERNAME]