Getting Started with Workbench for VS Code
- Getting Started with Workbench for VS Code
Getting Started with Workbench for VS Code
The goal of this Test Drive is to help you prepare the BMC AMI DevX Workbench for Visual Studio Code (VS Code) environment you'll need for the rest of the Test Drive Experience.
Instructions:
- This guide contains many screenshots to provide a visual reference
- Specifies every action you must take
- Please note each place that you must enter your own specific ID or number
- You must complete each step before proceeding to the next to successfully follow the guide
In this Test Drive the screenshots provided have used specific values that may differ from your assigned values. Substitute your assigned values provided with the email notice in the screenshots. If at any point during your experience the host connection times out, you may need to log back into the Test Drive host connection.
Workspace Setup & Host Connection
In this section, you’ll create a Visual Studio Code workspace so your settings and configurations are saved and persist between Test Drive logins. Next, you’ll establish a host connection to access mainframe resources such as datasets and jobs.
Create a Visual Studio Code workspace
Connect To the Host
Now that the workspace is created and verified, the next step is to establish a connection to the host.
BMC AMI DevX Explorer lets developers access mainframe application development resources through the Host Communications Interface (HCI) in VS Code. The extension also provides quick access to mainframe resources and allows you to search and filter datasets and members.
Dataset Filters & Allocation
In this section, you’ll locate a source dataset and use its attributes to allocate your own dataset. This ensures your new dataset matches the structure and attributes of the original, making it ready for use in subsequent steps.
Add a filter for the source dataset
To locate the source dataset add a filter.
The filter for the source dataset has been created and is now visible in DevX Explorer.
Allocate your own dataset
Now you can easily allocate your own dataset by copying the attributes from the source dataset.
Add a filter for your own dataset
Create a new filter to locate the dataset you just allocated.
Member Copy & JCL Edit/Submit
In this section, you’ll copy the JCL member WBRSTOR from the source dataset into your own dataset. After copying, edit WBRSTOR to set your Test Drive ID as the job name, then submit it as a job. This job will create several WBSAMP datasets, each qualified by your Test Drive ID, for use in later Test Drive exercises.
Copy a Member to Your Data Set
Your dataset has been allocated with the same attributes as the source dataset, but it currently contains no data. Next, you’ll copy a JCL member from the source dataset into your own.
Edit and Submit JCL
Now that the JCL member WBRSTOR has been copied into your dataset, edit the member and submit to create the WBSAMP datasets.
Job Explorer
In this section, you’ll find the status of the job that was submitted and view the job output.
View Job Output
The Job Explorer can be used to monitor the status of jobs and view the job output.
When you click the job name, the DD statements appear in the right-hand column of Job Explorer, along with the record count:
WBSAMP datasets
The job created several WBSAMP datasets qualified by YOUR TEST DRIVE ID. These datasets will be used in subsequent Test Drive exercises.
Add a filter for WBSAMP datasets
To locate the WBSAMP datasets qualified by YOUR TEST DRIVE ID add a dataset filter.
Next Steps
Now that you have built your BMC AMI DevX Workbench for Visual Studio Code environment, you're ready to take a deep dive into the full Workbench experience.




















