Some small changes for ASA VS/VS Code doc

Author: sujie-ms

articles/stream-analytics/develop-locally.md

@@ -20,7 +20,7 @@ The environments in the following table support local development:
 
 |Environment                              |Description    |
 |-----------------------------------------|------------|
-|[Visual Studio Code](visual-studio-code-explore-jobs.md)| The [Azure Stream Analytics Tools extension](https://marketplace.visualstudio.com/items?itemName=ms-bigdatatools.vscode-asa) for Visual Studio Code allows you to author, manage, and test your Stream analytics job both locally and in the cloud with rich IntelliSense and native source control. Supports development on Linux, MacOS, and Windows. To learn more, see [Create an Azure Stream Analytics job in Visual Studio Code](quick-create-vs-code.md).|
+|[Visual Studio Code](visual-studio-code-explore-jobs.md)| The [Azure Stream Analytics Tools extension](https://marketplace.visualstudio.com/items?itemName=ms-bigdatatools.vscode-asa) for Visual Studio Code allows you to author, manage, test your Stream analytics job both locally and in the cloud with rich IntelliSense and native source control. Supports development on Linux, MacOS and Windows. To learn more, see [Create an Azure Stream Analytics job in Visual Studio Code](quick-create-vs-code.md). The extension also supports [Visual Studio Codespaces](https://visualstudio.microsoft.com/services/visual-studio-codespaces/) which is a cloud-hosted dev environment.|
 |[Visual Studio 2019](stream-analytics-tools-for-visual-studio-install.md) |Stream Analytics Tools is part of the Azure development and Data storage and processing workloads in Visual Studio. You can use Visual Studio to write custom C# user-defined functions and deserializers. To learn more, see [Create an Azure Stream Analytics job by using Visual Studio](stream-analytics-quick-create-vs.md).|
 |[Command prompt or terminal](stream-analytics-tools-for-visual-studio-cicd.md)|The Azure Stream Analytics CI/CD NuGet package provides tools for Visual studio project build, local testing on an arbitrary machine. The Azure Stream Analytics CI/CD npm package provides tools for Visual Studio Code project builds (which generates an Azure Resource Manager template) on an arbitrary machine.|
 

articles/stream-analytics/media/stream-analytics-quick-create-vs/stream-analytics-job-to-azure.png

@@ -148,8 +148,8 @@ Notice the elements that are included in an Azure Stream Analytics project.
 
    ```sql
    SELECT *
-   INTO BlobOutput
-   FROM IoTHubInput
+   INTO Output
+   FROM Input
    HAVING Temperature > 27
    ```
 

articles/stream-analytics/stream-analytics-quick-create-vs.md

@@ -23,9 +23,9 @@ This article describes common issues with developing Azure Stream Analytics quer
     - On Azure portal, on the **Query** tab, select **Test**. Use the downloaded sample data to [test the query](stream-analytics-test-query.md). Examine any errors and attempt to correct them.   
     - You can also [test your query locally](stream-analytics-live-data-local-testing.md) using Azure Stream Analytics tools for Visual Studio or [Visual Studio Code](visual-studio-code-local-run-live-input.md). 
 
-2.  [Debug queries step by step locally using job diagram](debug-locally-using-job-diagram.md) in Azure Stream Analytics tools for Visual Studio. The job diagram shows how data flows from input sources (Event Hub, IoT Hub, etc.) through multiple query steps and finally to output sinks. Each query step is mapped to a temporary result set defined in the script using the WITH statement. You can view the data, as well as metrics, in each intermediate result set to find the source of the issue.
+2.  [Debug queries step by step locally using job diagram](debug-locally-using-job-diagram-vs-code.md) in Azure Stream Analytics tools for Visual Studio Code. The job diagram shows how data flows from input sources (Event Hub, IoT Hub, etc.) through multiple query steps and finally to output sinks. Each query step is mapped to a temporary result set defined in the script using the WITH statement. You can view the data, as well as metrics, in each intermediate result set to find the source of the issue.
 
-    ![Job diagram preview result](./media/debug-locally-using-job-diagram/preview-result.png)
+    ![Job diagram preview result](./media/debug-locally-using-job-diagram-vs-code/preview-result.png)
 
 3.  If you use [**Timestamp By**](https://docs.microsoft.com/stream-analytics-query/timestamp-by-azure-stream-analytics), verify that the events have timestamps greater than the [job start time](stream-analytics-out-of-order-and-late-events.md).