ConfigGenerator

GitLab CI Generator

Generate GitLab CI/CD YAML with stages, jobs, variables, artifacts, cache, Docker builds, Kubernetes deploys, child pipelines, and templates.

Output:A ready-to-use configuration file for GitLab CI with best practices applied.

GitLab CI Generator

Generate production-ready `.gitlab-ci.yml` pipelines with stages, caches, and jobs.

Global Configuration

Pipeline Stages

Pipeline Jobs

Quick Summary

Use a GitLab CI Generator when you need a .gitlab-ci.yml file for stages, jobs, variables, artifacts, Docker builds, Kubernetes deploys, and GitLab Runner workflows.

What is this tool?

A GitLab CI Generator is an interactive visual tool that builds fully valid .gitlab-ci.yml pipeline configuration files. It removes the guesswork of YAML syntax, allowing you to define stages, configure job rules, map environment variables, and trigger Docker and Kubernetes deployment steps visually.

Best Practices

  • Always pin versions of your container images and plugins.
  • Use cache extensively for node_modules or maven dependencies to speed up builds.
  • Never hardcode secrets; use environment variables.
  • Validate your YAML locally before pushing to save CI minutes.

Common Mistakes

  • Indentation errors in YAML causing silent pipeline failures.
  • Committing raw API keys to the repository.
  • Forgetting to setup failure notifications (Slack/Email).
  • Overusing parallel jobs and exceeding account concurrency limits.

Frequently Asked Questions

What is a GitLab CI Generator?
It is an online tool that creates a standardized, error-free `.gitlab-ci.yml` file for your repository based on your visual selections for stages, caches, artifacts, and deploy steps.
How do I create gitlab-ci.yml?
Select your desired stages (build, test, deploy), configure your Docker or Kubernetes steps, and click generate. Then commit the generated `.gitlab-ci.yml` file to the root of your GitLab repository.
What is a GitLab CI YAML example?
A basic example includes a default `image`, a list of `stages`, and specific job definitions mapping to those stages. This generator produces those examples tailored to your exact stack.
Can I generate GitLab CI for Python?
Yes. By specifying the `python:3.10` Docker image and adding `pip install` commands, the generator can create a Python testing pipeline.
Can I generate GitLab CI for Kubernetes?
Yes. You can toggle Kubernetes deployment steps to output standard `kubectl apply` instructions within your deployment stage.
What are GitLab CI predefined variables?
GitLab automatically injects CI variables like `$CI_COMMIT_SHA` or `$CI_PROJECT_NAME`. The generated YAML leverages these predefined variables safely.
Can this generate GitLab tokens?
No. This tool generates YAML templates and placeholder variables. Real tokens are managed strictly within GitLab's platform for security.
How do I validate GitLab CI YAML?
You can use GitLab's built-in CI Lint tool inside your project, or use the `.gitlab-ci.yml` syntax validated by this generator.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.