Dev Note

CI/CD pipelines are the heartbeat of modern software development. Every code change flows through them — tests run, containers build, deployments fire. Choosing the right platform isn’t just a tooling decision; it shapes your entire developer experience.
In 2026, the field has three dominant players: GitHub Actions, GitLab CI/CD, and the venerable Jenkins. Each has a distinct philosophy and target user. Let’s break them down.
Photo by Rubaitul Azad on Unsplash
GitHub Actions: The Ecosystem Play
GitHub Actions launched in 2019 and rapidly became the default choice for open-source and GitHub-hosted projects. Its marketplace, tight GitHub integration, and YAML-based simplicity made adoption frictionless.
Basic Pipeline
# .github/workflows/ci.yml
name: CI Pipeline
on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]
jobs:
  test:
    runs-on: ubuntu-latest
    
    strategy:
      matrix:
        node-version: [20, 22]
    
    steps:
      - uses: actions/checkout@v4
      
      - name: Use Node.js $
        uses: actions/setup-node@v4
        with:
          node-version: $
          cache: 'npm'
      
      - run: npm ci
      - run: npm test
      - run: npm run build
  docker-build:
    needs: test
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    
    steps:
      - uses: actions/checkout@v4
      
      - name: Build and push Docker image
        uses: docker/build-push-action@v6
        with:
          push: true
          tags: myapp:latest
          cache-from: type=gha
          cache-to: type=gha,mode=max
  deploy:
    needs: docker-build
    runs-on: ubuntu-latest
    environment: production
    
    steps:
      - name: Deploy to ECS
        uses: aws-actions/amazon-ecs-deploy-task-definition@v1
        with:
          task-definition: task-def.json
          service: my-service
          cluster: my-cluster
Reusable Workflows
One of GitHub Actions’ best features — define a workflow once, use it across repos:
# .github/workflows/reusable-test.yml
on:
  workflow_call:
    inputs:
      node-version:
        required: true
        type: string
    secrets:
      NPM_TOKEN:
        required: true
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: $
      - run: npm ci
        env:
          NPM_TOKEN: $
      - run: npm test
# Caller workflow (another repo)
jobs:
  test:
    uses: my-org/.github/.github/workflows/reusable-test.yml@main
    with:
      node-version: "22"
    secrets: inherit
Strengths
Marketplace: 20,000+ actions — Docker, AWS, GCP, everything
Native GitHub integration: PRs, issues, code scanning, Dependabot
Matrix builds: Trivially test across OS/runtime combinations
Free for public repos: Generous free tier for OSS
Copilot integration: AI-generated workflow suggestions
Weaknesses
GitHub-hosted only (unless self-hosted runners)
Limited native CD features (vs GitLab)
Secrets management less sophisticated than GitLab
No built-in artifact storage for long retention
GitLab CI/CD: The All-in-One Platform
GitLab CI/CD is deeply integrated into the GitLab platform. If you’re using GitLab, its CI is not just good — it’s exceptional. The .gitlab-ci.yml approach is battle-hardened and more powerful than it first appears.
# .gitlab-ci.yml
stages:
  - test
  - build
  - deploy
variables:
  DOCKER_IMAGE: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
  KUBECONFIG: /etc/kubeconfig
.test-template: &test-template
  stage: test
  image: node:22
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:
      - node_modules/
unit-tests:
  <<: *test-template
  script:
    - npm ci
    - npm test
  coverage: '/Coverage: \d+\.\d+/'
  artifacts:
    reports:
      coverage_report:
        coverage_format: cobertura
        path: coverage/cobertura-coverage.xml
e2e-tests:
  <<: *test-template
  services:
    - postgres:16
  variables:
    POSTGRES_DB: testdb
    POSTGRES_USER: runner
    POSTGRES_PASSWORD: ""
  script:
    - npm ci
    - npm run test:e2e
build-image:
  stage: build
  image: docker:24
  services:
    - docker:dind
  only:
    - main
  script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
    - docker build -t $DOCKER_IMAGE .
    - docker push $DOCKER_IMAGE
    - docker tag $DOCKER_IMAGE $CI_REGISTRY_IMAGE:latest
    - docker push $CI_REGISTRY_IMAGE:latest
deploy-production:
  stage: deploy
  environment:
    name: production
    url: https://myapp.com
  only:
    - main
  when: manual  # Require human approval
  script:
    - kubectl set image deployment/myapp myapp=$DOCKER_IMAGE
GitLab-Specific Superpowers
Auto DevOps: Zero-config CI/CD for common stacks — GitLab detects your project type and configures the whole pipeline.
Security scanning built-in:
include:
  - template: Security/SAST.gitlab-ci.yml
  - template: Security/Dependency-Scanning.gitlab-ci.yml
  - template: Security/Container-Scanning.gitlab-ci.yml
  - template: Security/Secret-Detection.gitlab-ci.yml
Four security scanners, zero configuration. Results appear in the MR as policy gates.
Review Apps:
review:
  stage: deploy
  script:
    - helm upgrade --install review-$CI_ENVIRONMENT_SLUG ./chart
      --set image.tag=$CI_COMMIT_SHA
      --set ingress.host=$CI_ENVIRONMENT_SLUG.review.myapp.com
  environment:
    name: review/$CI_COMMIT_REF_SLUG
    url: https://$CI_ENVIRONMENT_SLUG.review.myapp.com
    on_stop: stop-review
  only:
    - merge_requests
Every MR gets its own live environment. Product and QA teams can review on a real deployment.
Strengths
Complete DevSecOps platform (security, compliance, CD all built-in)
Self-hosted option (GitLab CE/EE)
Container Registry, Package Registry, Artifact Registry included
Dynamic environments and Review Apps
Compliance pipelines with pipeline rules enforcement
Superior CD features vs GitHub Actions
Weaknesses
Heavy if you only need CI
Self-hosted requires significant ops effort
Steeper learning curve for advanced features
More expensive at scale vs GitHub
Jenkins: The Dinosaur That Won’t Die (And Shouldn’t)
Jenkins is 20+ years old, written in Java, and has been “dying” for the past decade. It’s also running more production pipelines than any other CI tool. Here’s why it’s still relevant in 2026.
Jenkinsfile (Declarative Pipeline)
// Jenkinsfile
pipeline {
    agent any
    
    environment {
        DOCKER_REGISTRY = 'registry.mycompany.com'
        APP_IMAGE = "${DOCKER_REGISTRY}/myapp:${BUILD_NUMBER}"
    }
    stages {
        stage('Test') {
            parallel {
                stage('Unit Tests') {
                    agent { docker { image 'node:22' } }
                    steps {
                        sh 'npm ci'
                        sh 'npm test'
                    }
                    post {
                        always {
                            junit 'test-results/*.xml'
                        }
                    }
                }
                
                stage('Lint') {
                    agent { docker { image 'node:22' } }
                    steps {
                        sh 'npm ci'
                        sh 'npm run lint'
                    }
                }
            }
        }
        
        stage('Build Docker Image') {
            when { branch 'main' }
            steps {
                script {
                    docker.withRegistry("https://${DOCKER_REGISTRY}", 'registry-credentials') {
                        def image = docker.build(APP_IMAGE)
                        image.push()
                        image.push('latest')
                    }
                }
            }
        }
        
        stage('Deploy') {
            when { branch 'main' }
            input {
                message "Deploy to production?"
                ok "Deploy"
            }
            steps {
                withCredentials([file(credentialsId: 'kubeconfig', variable: 'KUBECONFIG')]) {
                    sh "kubectl set image deployment/myapp myapp=${APP_IMAGE}"
                }
            }
        }
    }
    
    post {
        failure {
            slackSend(
                channel: '#deployments',
                color: 'danger',
                message: "Build failed: ${BUILD_URL}"
            )
        }
    }
}
Why Jenkins Still Lives
Plugin ecosystem: 1,800+ plugins covering every tool ever created in the DevOps space. If it exists, there’s a Jenkins plugin for it.
Flexibility: Jenkins can do things the other tools literally cannot. Complex multi-cluster deployments, custom approval chains, legacy system integrations — Jenkins handles them all through Groovy scripting.
On-premises control: Complete data sovereignty. No cloud dependency.
Cost: Free. No per-minute charges, no seat licenses.
Why Jenkins Is Painful
Setup and maintenance: You manage everything — upgrades, plugin compatibility, HA
Security burden: Plugin vulnerabilities, Jenkins itself needs patching
UX: It’s showing its age. Blue Ocean plugin helps, but it’s still rough
No native cloud-native features: Container ephemeral agents need manual configuration
Head-to-Head Comparison
Feature
      GitHub Actions
      GitLab CI
      Jenkins
    
Setup time
      Minutes
      Minutes
      Hours-Days
    
Self-hosted
      Runner optional
      CE/EE
      Required
    
Marketplace/Plugins
      20,000+
      Templates
      1,800+
    
Container native
      ⭐⭐⭐⭐⭐
      ⭐⭐⭐⭐⭐
      ⭐⭐⭐
    
Security scanning
      Third-party
      Built-in
      Plugin
    
CD features
      Medium
      Strong
      Flexible
    
Cost (cloud)
      $$
      $$
      Free*
    
Enterprise features
      ⭐⭐⭐⭐
      ⭐⭐⭐⭐⭐
      ⭐⭐⭐
    
*Jenkins compute is your own infrastructure cost.
2026 Recommendations
Choose GitHub Actions if:
Your code is on GitHub
You want the fastest path to a working pipeline
Open-source or developer tooling projects
You leverage the Marketplace heavily
Choose GitLab CI if:
You want an all-in-one platform (SCM + CI + CD + security + registry)
Security scanning and compliance are mandatory
You need Review Apps or advanced deployment environments
Self-hosting is required
Choose Jenkins if:
You have legacy Jenkins investments worth preserving
Complex on-premise workflows that cloud tools can’t handle
You need maximum flexibility and plugin diversity
Total data sovereignty is non-negotiable
For greenfield projects in 2026, it’s GitHub Actions vs GitLab CI — and that choice mostly comes down to where your code lives. Both are excellent. Jenkins remains the right answer for specific enterprise scenarios, but no one should start fresh on it today.
Which CI/CD platform does your team use? Let us know in the comments!

GitHub Actions vs GitLab CI vs Jenkins in 2026: CI/CD Platform Showdown

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