Instantly generate production-ready CI/CD pipeline configurations for GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline, and Jenkins. No signup required.
Configure your pipeline settings below and instantly get production-ready YAML for your DevOps workflow.
Configure your pipeline settings on the left
and click Generate Pipeline
Generate a pipeline to see the flow visualization
README will be generated with your pipeline
Required secrets will be listed after generation
Everything you need to automate your DevOps pipeline — fast, free, and production-ready.
Generate complete, valid CI/CD pipeline configurations in seconds. No boilerplate hunting, no YAML debugging.
Supports GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, AWS CodePipeline, and Jenkins.
Add SAST security scanning stages with Snyk, Trivy, or SonarCloud integration baked into your pipeline.
Auto-generate Docker build, tag, and push steps for Docker Hub, GHCR, ECR, and ACR registries.
Deploy to Kubernetes, AWS ECS, Azure App Service, Heroku, S3, Firebase, or any SSH server.
Test across multiple Node.js, Python, or Java versions simultaneously using matrix strategy patterns.
Automatically configure dependency caching for npm, pip, Maven, Gradle, and Cargo to speed up builds.
Integrate Slack, email, or Microsoft Teams alerts for pipeline success and failure events.
See an interactive flow diagram of your pipeline stages before committing anything to your repository.
From configuration to committed pipeline in under a minute.
Choose your CI/CD platform: GitHub Actions, GitLab, Azure DevOps, AWS, or Jenkins.
Set your language, select stages (build, test, deploy), and toggle advanced options.
Click Generate — get a complete, validated, production-ready pipeline configuration instantly.
Copy or download the YAML, drop it in your repo at the correct path, and push. Done!
CI/CD (Continuous Integration and Continuous Delivery/Deployment) is the backbone of modern DevOps engineering. A well-structured CI/CD pipeline automates the entire software release lifecycle — from code commit to production deployment — eliminating manual errors and dramatically accelerating delivery velocity.
Continuous Integration is a software development practice where developers frequently merge code changes into a shared repository. Each merge triggers an automated build and test sequence. Tools like GitHub Actions CI, GitLab CI/CD, and Jenkins execute these pipelines, catching integration bugs early before they reach production. A typical CI workflow includes code checkout, dependency installation, unit testing, integration testing, and code quality analysis via linters or SAST scanners.
GitHub Actions workflow is defined in YAML files under .github/workflows/. It's event-driven, triggering on push, pull_request, schedule, or manual dispatch. GitHub Actions supports matrix builds for testing across multiple runtime versions, reusable workflows, and powerful marketplace actions for Docker, AWS, Azure, and Kubernetes deployments. GitHub CI/CD is deeply integrated with the repository, making it the top choice for open-source and cloud-native teams.
GitLab CI pipeline configuration lives in .gitlab-ci.yml at the project root. GitLab's pipeline model uses stages and jobs, with built-in support for parallel execution, dynamic pipelines, and GitLab Container Registry. GitLab CI/CD also offers AutoDevOps, which automatically detects and configures build, test, security, and deploy stages — making GitLab a complete DevSecOps platform for enterprise teams.
Azure DevOps pipeline configuration uses YAML (azure-pipelines.yml) or the classic visual editor. Azure CI/CD integrates natively with Azure Kubernetes Service (AKS), Azure App Service, and Azure Container Registry. Azure Pipelines supports multi-stage deployments with approval gates, environment protection rules, and deployment strategies like blue-green and canary releases, making it a preferred Azure CI/CD solution for .NET and enterprise workloads.
AWS CI/CD combines CodeCommit (or GitHub), CodeBuild, CodeDeploy, and CodePipeline into a fully managed continuous delivery service. An AWS CodePipeline example typically pulls source from S3 or GitHub, runs CodeBuild for compilation and testing, and deploys to ECS, Lambda, or EC2 via CodeDeploy. AWS CI/CD is ideal for teams already invested in the AWS ecosystem needing tight IAM-based access control and CloudWatch observability.
Jenkins pipeline uses a Jenkinsfile (declarative or scripted syntax) to define multi-stage CI/CD workflows. As the most established open-source CI tool, Jenkins supports thousands of plugins covering every integration imaginable — from SonarQube code analysis to Kubernetes deployment. For teams seeking on-premise control, Jenkins remains the definitive self-hosted CI/CD automation solution.
.github/workflows/ci.yml | GitLab CI: .gitlab-ci.yml (root) | Azure DevOps: azure-pipelines.yml (root) | AWS CodeBuild: buildspec.yml (root) | Jenkins: Jenkinsfile (root)Explore our complete collection of free DevOps generators and 100+ AI-powered tools to supercharge your workflow.