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Mock CI/CD Pipeline Config Generator

Used by developers, writers, and creators worldwide.

A mock CI/CD pipeline config generator saves you from memorizing the YAML quirks of four different platforms at once. Select your platform — GitHub Actions, GitLab CI, CircleCI, or Bitbucket Pipelines — then pick a project type (Node.js, Python, Docker, or Java), and get a complete, copy-paste-ready config with install, test, and build stages already wired up using each platform's real conventions. A Node.js GitHub Actions output, for instance, includes a working `npm ci && npm test` step out of the box. DevOps engineers use these configs as first-pass scaffolds before connecting a live repo. Instructors hand them to students in CI/CD workshops as a concrete base to modify. QA engineers feed them into validators like `actionlint` or `gitlab-ci-lint` without touching production pipelines.

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How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Select your CI/CD platform from the Platform dropdown — GitHub Actions, GitLab CI, CircleCI, or Bitbucket Pipelines.
  2. Choose your project type from the Project Type dropdown to get the correct package manager and test runner commands.
  3. Click Generate to produce the complete YAML configuration file in the output panel.
  4. Copy the output and save it to the correct config path for your platform (e.g., `.github/workflows/ci.yml` for GitHub Actions).
  5. Adjust branch triggers, environment variable names, and artifact paths to match your actual project before committing.

Use Cases

  • •Scaffolding a GitHub Actions workflow for a new Node.js monorepo before the first commit
  • •Generating a GitLab CI template for a Docker-based microservice to review syntax offline
  • •Feeding structurally valid YAML fixtures into actionlint or a custom CI config parser
  • •Giving bootcamp students a real CircleCI config to dissect during a DevOps module
  • •Drafting a Bitbucket Pipelines config for a Java project to share in a Confluence runbook

Tips

  • →Match the project type to your actual package manager — selecting Node.js generates `npm ci`, so switch commands if you use Yarn or pnpm.
  • →Use the GitLab CI output as a base even if you're targeting a self-hosted runner; the stage structure stays valid, just add `tags` to target your runner.
  • →Generate configs for multiple platforms side-by-side to compare YAML structures — useful when migrating a pipeline from one platform to another.
  • →For Docker projects, the generated config assumes a standard `Dockerfile` in the repo root; rename the build context path if yours differs.
  • →Run the GitHub Actions output through `actionlint` before committing — it catches type errors in expressions that a basic YAML linter would miss.
  • →Treat the generated caching step as a starting point: update the cache key hash to use your exact lock file name to avoid stale dependency cache hits.

FAQ

where do I put the generated github actions config in my repo

Save it as a `.yml` file inside `.github/workflows/` — for example, `.github/workflows/ci.yml`. GitHub automatically detects any workflow file in that directory, so just commit and push. Create the folder first if it doesn't exist.

are the generated pipeline configs close enough to use in a real project

They are realistic, syntactically correct starting points covering install, test, and build steps using each platform's actual schema. Before going live, add your real environment variables, tighten branch trigger rules, and append any deployment stages your infrastructure needs.

what's the difference between the github actions and gitlab ci output

Each output follows that platform's own YAML structure — GitHub Actions uses `on` triggers, `jobs`, and `steps`, while GitLab CI uses `stages` and `script` blocks. They are not the same template with names swapped; the generator uses platform-specific keys and conventions throughout.