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azure-pipelines — Cursor rule: what it does, how to install

Enforces best practices for Azure DevOps YAML pipelines, covering multi-stage setups, templates, caching, and secret handling.

Install into Cursor · Manually: put the files in place All methods and platforms ↓
.cursor/rules/azure-pipelines.mdc
Open on GitHub

What azure-pipelines does

This rule guides Cursor to write modular Azure DevOps pipelines rather than monolithic scripts. It organizes workflows into distinct stages like Build, Test, and Deploy, managing artifacts and execution order through dependsOn gates. Common build logic gets extracted into reusable YAML templates with parameters.

For pipeline security, the rule avoids plaintext secrets by mandating Azure Key Vault integration with Variable Groups. It also favors Workload Identity Federation (OIDC) over static service principal client secrets. Without federated credentials configured in Azure DevOps, deployment connections generated under this pattern cannot authenticate.

Build execution gets optimized using the Cache@2 task for npm and NuGet dependencies. Independent jobs run concurrently using dependsOn: [] to cut total run time.

What it helps with

  • Split monolithic pipeline jobs into distinct build, test, and deploy stages
  • Extract repeated pipeline logic into reusable YAML templates
  • Configure package caching for npm and NuGet with Cache@2
  • Protect sensitive credentials using Azure Key Vault linked to variable groups
  • Parallelize independent validation jobs to reduce execution time

Example prompts for the agent

  • Refactor this monolithic azure-pipelines.yml into separate stages with artifact passing
  • Create a reusable YAML template for building Node.js services with an appName parameter
  • Add dependency caching to my build pipeline using the Cache@2 task

How to install azure-pipelines

Manually: put the files in place

.cursor/rules/azure-pipelines.mdc

Frontmatter: description, globs, alwaysApply

Step by step, with commands for each platform: Cursor rules: .mdc files, four modes and what replaced .cursorrules

Questions about azure-pipelines

How to install azure-pipelines in Cursor?

Create a rule file at .cursor/rules/azure-pipelines.mdc in your project root and paste the rule content.

What does the azure-pipelines rule do?

It steers Cursor toward creating modular, secure Azure DevOps YAML pipelines following multi-stage and templating conventions.

How does the rule handle Azure authentication?

It requires Workload Identity Federation for service connections instead of manually managed client secrets.

Source text

azure-pipelines.mdc · CC0-1.0
---
description: This guide provides opinionated, actionable best practices for writing secure, performant, and maintainable Azure Pipelines using YAML, focusing on modern CI/CD patterns and common pitfalls.
globs: **/*
---
# azure-pipelines Best Practices

Azure Pipelines are the backbone of modern CI/CD. This guide enforces a YAML-first, security-conscious, and highly automated approach to pipeline development.

## Code Organization and Structure

Always define pipelines using YAML for version control, reusability, and clarity. Structure your pipelines using multi-stage designs and leverage templates for common patterns.

### 1. Embrace Multi-Stage Pipelines

Separate distinct phases (Build, Test, Deploy) into stages. This provides clear logical separation, enables independent quality gates, and improves visibility.

❌ BAD: Monolithic pipeline with all steps in one job.

```yaml
# azure-pipelines.yml
jobs:
- job: BuildAndDeploy
  steps:
  - script: dotnet build
  - script: dotnet test
  - script: az webapp deploy
```

✅ GOOD: Clearly defined stages for build, test, and deployment.

```yaml
# azure-pipelines.yml
stages:
- stage: Build
  jobs:
  - job: BuildApp
    steps:
    - script: dotnet build
    - publish: $(Build.ArtifactStagingDirectory)
      artifact: drop

- stage: Test
  dependsOn: Build
  jobs:
  - job: RunTests
    steps:
    - download: current
      artifact: drop
    - script: dotnet test --logger "trx;LogFileName=test-results.trx"
    - task: PublishTestResults@2
      inputs:
        testResultsFormat: 'VSTest'
        testResultsFiles: '**/*.trx'

- stage: Deploy
  dependsOn: Test
  condition: succeeded('Test') # Only deploy if tests pass
  jobs:
  - deployment: DeployApp
    environment: 'Production' # Use environments for approvals and checks
    strategy:
      runOnce:
        deploy:
          steps:
          - download: current
            artifact: drop
          - script: az webapp deploy --resource-group MyResourceGroup --name MyApp --src-path $(Pipeline.Workspace)/drop
```

### 2. Leverage Templates for Reusability

Define common stages, jobs, or steps in reusable templates. This keeps your pipelines DRY, consistent, and easier to maintain.

❌ BAD: Copy-pasting build steps across multiple `azure-pipelines.yml` files.

```yaml
# service-a/azure-pipelines.yml
stages:
- stage: Build
  jobs:
  - job: BuildServiceA
    steps:
    - script: npm install
    - script: npm run build
    # ... more steps
```

```yaml
# service-b/azure-pipelines.yml
stages:
- stage: Build
  jobs:
  - job: BuildServiceB
    steps:
    - script: npm install
    - script: npm run build
    # ... identical steps
```

✅ GOOD: Centralize common build logic in a template.

```yaml
# templates/build-node-app.yml
parameters:
- name: appName
  type: string
  default: 'app'

jobs:
- job: BuildNodeApp
  displayName: Build ${{ parameters.appName }}
  steps:
  - task: NodeTool@0
    inputs:
      versionSpec: '18.x'
    displayName: 'Install Node.js'
  - script: npm install
    displayName: 'Install Dependencies'
  - script: npm run build
    displayName: 'Build App'
  - publish: $(Build.ArtifactStagingDirectory)
    artifact: drop-${{ parameters.appName }}
    displayName: 'Publish Build Artifact'
```

```yaml
# service-a/azure-pipelines.yml
stages:
- stage: Build
  jobs:
  - template: ../templates/build-node-app.yml
    parameters:
      appName: ServiceA
```

```yaml
# service-b/azure-pipelines.yml
stages:
- stage: Build
  jobs:
  - template: ../templates/build-node-app.yml
    parameters:
      appName: ServiceB
```

## Common Patterns and Anti-patterns

### 3. Secure Secrets with Azure Key Vault

Never hardcode secrets. Always use Azure Key Vault linked to Variable Groups for secure secret management.

❌ BAD: Storing secrets directly in Variable Groups or YAML.

```yaml
# Variable Group 'MySecrets' (in Azure DevOps UI)
#   MyApiKey: "SuperSecretKey123" (plaintext)
```

```yaml
# azure-pipelines.yml
variables:
  MyApiKey: 'SuperSecretKey123' # Directly in YAML
```

✅ GOOD: Link Variable Group to Azure Key Vault.

```yaml
# Azure Key Vault: Create a secret named 'MyApiKey'
# Azure DevOps Variable Group 'MySecrets': Link to Key Vault, select 'MyApiKey'
```

```yaml
# azure-pipelines.yml
variables:
- group: MySecrets # Link to the Variable Group
stages:
- stage: Deploy
  jobs:
  - job: DeployApp
    steps:
    - script: echo "Using API Key: $(MyApiKey)" # Access as a regular variable
```
*Note: `$(MyApiKey)` will be masked in logs if it's a secret variable.*

### 4. Use Workload Identity Federation for Service Connections

Prefer Workload Identity Federation (OIDC) over Service Principals for Azure Service Connections. It eliminates the need for manual secret management.

❌ BAD: Service Connection using a Service Principal with a client secret.

```yaml
# Azure DevOps Service Connection: Azure Resource Manager
#   Authentication Method: Service principal (manual)
#   Client secret: Manually managed and rotated
```

✅ GOOD: Service Connection using Workload Identity Federation.

```yaml
# Azure DevOps Service Connection: Azure Resource Manager
#   Authentication Method: Workload Identity Federation (automatic)
#   No client secret to manage
```
*When creating a new Azure Resource Manager service connection, choose "Workload Identity Federation (automatic)" if available.*

## Performance Considerations

### 5. Cache Dependencies

Speed up builds by caching frequently used dependencies (e.g., `node_modules`, `pip` packages, `dotnet` NuGet packages).

❌ BAD: Installing dependencies from scratch on every build.

```yaml
# azure-pipelines.yml
steps:
- script: npm install
  displayName: 'Install Node Modules'
- script: dotnet restore
  displayName: 'Restore NuGet Packages'
```

✅ GOOD: Use the `Cache@2` task.

```yaml
# azure-pipelines.yml
steps:
- task: Cache@2
  inputs:
    key: 'npm | "$(Agent.OS)" | **/package-lock.json'
    path: '$(npm_config_cache)'
    cacheHitVar: 'NPM_CACHE_RESTORED'
  displayName: 'Cache npm packages'
- script: npm install
  displayName: 'Install Node Modules'
  condition: ne(variables.NPM_CACHE_RESTORED, 'true')

- task: Cache@2
  inputs:
    key: 'nuget | "$(Agent.OS)" | $(Build.SourcesDirectory)/**/*.csproj'
    path: '$(NUGET_PACKAGES)'
    cacheHitVar: 'NUGET_CACHE_RESTORED'
  displayName: 'Cache NuGet packages'
- script: dotnet restore
  displayName: 'Restore NuGet Packages'
  condition: ne(variables.NUGET_CACHE_RESTORED, 'true')
```

### 6. Run Jobs in Parallel

For independent tasks, run jobs in parallel to reduce overall pipeline execution time.

❌ BAD: Sequential jobs when they could run concurrently.

```yaml
jobs:
- job: Build
  # ...
- job: Lint
  dependsOn: Build # Unnecessary dependency
  # ...
- job: UnitTests
  dependsOn: Build # Unnecessary dependency
  # ...
```

✅ GOOD: Parallelize independent jobs.

```yaml
jobs:
- job: Build
  # ...
- job: Lint
  dependsOn: [] # No dependency on Build
  # ...
- job: UnitTests
  dependsOn: Build # Unit tests might need build artifacts
  # ...
```

## Common Pitfalls and Gotchas

### 7. Avoid Exposing Secrets to Fork Builds

When working with public repositories, prevent secrets from being exposed to builds from forks.

❌ BAD: Enabling "Make secrets available to builds of forks" in pipeline settings.

✅ GOOD: Keep "Make secrets available to builds of forks" **disabled**. Manually trigger fork builds after review if necessary.

### 8. Use Project-Scoped Build Identities

Restrict pipeline permissions to the project level to minimize lateral exposure.

❌ BAD: Using a collection-level build identity (`Project Collection Build Service (YourCollectionName)`).

✅ GOOD: Use the default project-level build identity (`YourProjectName Build Service (YourOrganizationName)`).
*This is the default for new YAML pipelines. Verify `Job authorization scope` is set to `Project Collection` or `Current project` as appropriate for your needs, but generally `Current project` is more secure.*

## Configuration Management

### 9. Define Infrastructure as Code (IaC)

Manage your infrastructure (Azure resources, environments) as code (e.g., Bicep, ARM templates, Terraform) and deploy it via pipelines.

❌ BAD: Manually provisioning environments or using UI-driven deployments only.

✅ GOOD: Deploy infrastructure using a dedicated IaC stage.

```yaml
# azure-pipelines.yml
stages:
- stage: DeployInfrastructure
  jobs:
  - deployment: DeployBicep
    environment: 'DevEnvironment'
    strategy:
      runOnce:
        deploy:
          steps:
          - task: AzureCLI@2
            inputs:
              azureSubscription: 'MyAzureSubscription'
              scriptType: 'bash'
              scriptLocation: 'inlineScript'
              inlineScript: |
                az group create --name $(ResourceGroupName) --location $(Location)
                az deployment group create \
                  --resource-group $(ResourceGroupName) \
                  --template-file ./infra/main.bicep \
                  --parameters environmentType=dev
```

## Environment Variables

### 10. Use Predefined Variables Correctly

Leverage Azure Pipelines' predefined variables for consistent and reliable access to build, release, and agent information.

❌ BAD: Hardcoding paths or trying to guess build numbers.

```yaml
steps:
- script: echo "Build number: 1.0.0.$(date +%s)" # Inconsistent
- script: cp ./dist/* /home/vsts/work/1/a/ # Fragile path
```

✅ GOOD: Use predefined variables.

```yaml
steps:
- script: echo "Build number: $(Build.BuildNumber)"
- script: cp $(Build.SourcesDirectory)/dist/* $(Build.ArtifactStagingDirectory)/
```

## Logging

### 11. Mask Sensitive Information in Logs

Ensure secrets are never printed to logs. Azure Pipelines automatically masks variables marked as secret.

❌ BAD: Printing a secret directly.

```yaml
steps:
- script: echo "My secret key is $(MyApiKey)" # Key will be visible
```

✅ GOOD: Access secret variables, which are automatically masked.

```yaml
steps:
- script: echo "Attempting to use API Key..."
- script: az login --service-principal -u $(ServicePrincipalId) -p $(ServicePrincipalKey) --tenant $(TenantId) # ServicePrincipalKey is a secret variable
```

## Testing Approaches

### 12. Integrate Comprehensive Testing Early

Run unit tests and static analysis (SAST) as early as possible in the CI stage. Dedicate separate stages for integration and end-to-end tests.

❌ BAD: Only running manual tests or basic compilation.

✅ GOOD: Multi-layered testing strategy.

```yaml
stages:
- stage: Build
  jobs:
  - job: BuildAndScan
    steps:
    - script: dotnet build
    - task: SonarQubePrepare@5 # SAST integration
    - task: SonarQubeAnalyze@5
    - task: SonarQubePublish@5

- stage: Test
  dependsOn: Build
  jobs:
  - job: UnitAndIntegrationTests
    steps:
    - script: dotnet test --filter "Category=Unit"
    - script: dotnet test --filter "Category=Integration"
    - task: PublishTestResults@2
      inputs:
        testResultsFormat: 'VSTest'
        testResultsFiles: '**/*.trx'

- stage: E2ETest
  dependsOn: Test
  condition: succeeded('Test')
  jobs:
  - deployment: DeployToTestEnv
    environment: 'Test'
    strategy:
      runOnce:
        deploy:
          steps:
          - script: npm run e2e-tests # Run Cypress/Selenium tests
```

© sanjeed5 · CC0-1.0 · sanjeed5/awesome-cursor-rules-mdc

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