Aj Geddes Useful AI Prompts Jenkins Pipeline

Jenkins Pipeline

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Create enterprise-grade Jenkins pipelines using declarative and scripted approaches to automate building, testing, and deploying with advanced control flow.

When to Use

• Enterprise CI/CD infrastructure
• Complex multi-stage builds
• On-premise deployment automation
• Parameterized builds

Quick Start

Minimal working example:

pipeline {
    agent { label 'linux-docker' }
    environment {
        REGISTRY = 'docker.io'
        IMAGE_NAME = 'myapp'
    }
    parameters {
        string(name: 'DEPLOY_ENV', defaultValue: 'staging')
    }
    stages {
        stage('Checkout') { steps { checkout scm } }
        stage('Install') { steps { sh 'npm ci' } }
        stage('Lint') { steps { sh 'npm run lint' } }
        stage('Test') {
            steps {
                sh 'npm run test:coverage'
                junit 'test-results.xml'
            }
        }
        stage('Build') {
            steps {
                sh 'npm run build'
                archiveArtifacts artifacts: 'dist/**/*'
            }
        }
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Use declarative pipelines for clarity
• Use credentials plugin for secrets
• Archive artifacts and reports
• Implement approval gates for production
• Keep pipelines modular and reusable

❌ DON'T

• Store credentials in pipeline code
• Ignore pipeline errors
• Skip test coverage reporting
• Use deprecated plugins

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