# JS, TS, Go, Python, PHP, etc. project

TThe setup is different depending on whether you use YAML or the Azure Classic interface.

{% hint style="info" %}

* The use of the Classic interface is not always possible (e.g. if your code is stored on GitHub).
* If you use YAML, Sonar can provide you with YAML templates or code examples.
  {% endhint %}

## Before you start <a href="#before-you-start" id="before-you-start"></a>

Before starting, read [Azure Pipelines integration overview](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/azure-pipelines-integration-overview.md).

The prerequisites are:

* The Azure DevOps Extension is installed in your Azure DevOps organization: see [Azure DevOps Extension](/sonarqube-cloud/analyzing-source-code/scanners/sonarcloud-extension-for-azure-devops.md).
* Your project is created in SonarQube Cloud and:
  * Your project binding with you DevOps platform has been configured. See the [Configuring Azure DevOps project binding](/sonarqube-cloud/managing-your-projects/administering-your-projects/devops-platform-integration/azure-devops.md).
  * Your project has been configured for Azure Pipelines. See [Configuring project for Azure Pipelines](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/setting-up-project-integration.md).
* The pull request and branch analysis are enabled in your pipeline.

If you need to use a specific scanner version, see the [Using various features](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/adding-analysis-to-build-pipeline/various-features.md#specific-scanner-version) article for instructions.

## Using YAML <a href="#yaml-pipeline" id="yaml-pipeline"></a>

Add the following SonarQube tasks to your YAML pipeline:

1. Before your build task, add a Prepare Analysis Configuration task.
2. After your build task, add a Run Code Analysis task.
3. After the Run Code Analysis task, add a Publish Quality Gate Result task.

See the YAML file example below. See also our [YAML pipeline templates](https://github.com/SonarSource/sonar-scanner-azdo/tree/master/its/fixtures). For information about the SonarQube task inputs, see the [List of SonarQube tasks](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/sonarqube-tasks.md) page.

{% hint style="info" %}
Make sure the SonarQube task version used in your YAML file is the correct one.\
For example, in `SonarCloudPrepare@3`, `@3` should correspond to the version of the [Azure DevOps Extension](/sonarqube-cloud/analyzing-source-code/scanners/sonarcloud-extension-for-azure-devops.md) you’re using.
{% endhint %}

<details>

<summary>YAML file example</summary>

<pre class="language-yaml"><code class="lang-yaml"><strong>trigger:
</strong>- main # or another name representing your main branch
- feature/*

steps:
 # Checkout the repository
 - checkout: self
 
 # Disable shallow fetch
   fetchDepth: 0

# Prepare Analysis Configuration task
- task: SonarCloudPrepare@4
  inputs:
    SonarCloud: '&#x3C;YourSonarQubeServiceEndpoint>'
    organization: '&#x3C;YourOrganizationName>'
    scannerMode: 'cli'
    configMode: 'manual'
    cliProjectKey: '&#x3C;YourProjectKey>'

# Add your build task(s) here

# Run Code Analysis task
- task: SonarCloudAnalyze@4
  inputs:
    jdkversion: 'JAVA_HOME_17_X64'

# Publish Quality Gate Result task
- task: SonarCloudPublish@4
  inputs:
    pollingTimeoutSec: '300'
</code></pre>

</details>

## Using the Classic interface <a href="#classic-pipeline" id="classic-pipeline"></a>

In the procedure below, the manual configuration mode is used to define analysis parameters at the pipeline level. You may use the `sonar-project.properties` file instead (or another specified configuration file). For more information, see the [Using various features](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/adding-analysis-to-build-pipeline/various-features.md) page.

Proceed as follows:

1. In Azure DevOps’ Classic interface editor, create or edit your build pipeline.
2. Add a **Prepare Analysis Configuration** task before your build task:
   * In **SonarQube Server Service Endpoint**, select the SonarQube service connection you created during setup. See the [Configuring project for Azure Pipelines](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/setting-up-project-integration.md) page for more information about adding a connection.
   * Under **Choose a way to run the analysis**, select **Use Standalone SonarScanner CLI**.
   * Select the **Manually provide configuration** mode.
   * In the **Project key** field, enter your project key.
3. Add a new **Run Code Analysis** task after your build task.
4. Add a new **Publish quality gate Result** on your build pipeline summary.
5. Ensure that the pipeline runs automatically for all the branches you want:
   * Under the **Triggers** tab of your pipeline, select **Enable continuous integration** and select all the branches for which you want SonarQube Cloud analysis to run automatically.
6. Save your pipeline.

## Related pages <a href="#related-pages" id="related-pages"></a>

* [Configuring project for Azure Pipelines](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/setting-up-project-integration.md)
* [Gradle or Maven project](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/adding-analysis-to-build-pipeline/gradle-or-maven-project.md)
* [.NET project](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/adding-analysis-to-build-pipeline/dotnet-project.md)
* [C family project](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/adding-analysis-to-build-pipeline/c-family-project.md)
* [Monorepo projects](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/adding-analysis-to-build-pipeline/monorepo-projects.md)
* [List of SonarQube tasks](/sonarqube-cloud/analyzing-source-code/ci-based-analysis/azure-pipelines/sonarqube-tasks.md)


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