/cursor-tutorials

How to generate CI/CD configs with Cursor

Learn how to generate efficient CI/CD configs with Cursor using simple steps to automate workflows and boost your development pipeline.

Matt Graham, CEO of Rapid Developers

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How to generate CI/CD configs with Cursor

To generate CI/CD configs in Cursor, you use the editor the same way you’d use it for any other file: you create the pipeline file yourself (GitHub Actions, GitLab CI, CircleCI, etc.) and then let Cursor help refine, fix, or scaffold it. Cursor does not “deploy for you” or magically detect your stack — but it’s extremely good at generating the correct YAML based on your project, fixing errors, and updating the config as your codebase grows.

 

How to Generate CI/CD Configs with Cursor

 

The short version is: you create the CI file, open it in Cursor, and ask the AI to generate or improve the pipeline. Cursor uses your local repository context, so it can read your package.json, Dockerfile, requirements.txt, and tests, then build the correct CI steps. You commit the file normally to Git, and your CI provider (GitHub, GitLab, etc.) runs it.

Think of Cursor as a smart co‑pilot that writes and edits the YAML, but the actual CI/CD runs on your provider — not inside Cursor.

 

Step-by-Step Workflow

 

  • Create the CI file in your repo (for example: .github/workflows/ci.yml).
  • Open the new file in Cursor.
  • Select relevant project files (like package.json, Dockerfile, app code) and add them to the AI context.
  • Ask Cursor: “Generate a GitHub Actions pipeline that installs dependencies, runs tests, and builds the project.”
  • Cursor writes or updates the YAML. You review it, accept changes, then run your CI provider normally.

 

Below is a real working example for GitHub Actions that Cursor commonly helps scaffold.

 

name: CI Pipeline

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  build-and-test:
    runs-on: ubuntu-latest

    steps:
      - name: Check out repository
        uses: actions/checkout@v4

      - name: Set up Node
        uses: actions/setup-node@v4
        with:
          node-version: "20"

      - name: Install dependencies
        run: npm install

      - name: Run tests
        run: npm test

      - name: Build project
        run: npm run build

 

You can generate Python or Docker-based pipelines the same way — Cursor will adjust as long as the files in your repo give it enough context.

 

How Cursor Actually Helps

 

  • Scaffolding: You can literally select your entire repo, open the CI YAML, and say “Make a pipeline that works for this project.” It’ll read your tooling and produce the correct steps.
  • Error fixing: When CI fails, copy the error log into Cursor and say “Fix the pipeline.” It’s very good at patching YAML syntax mistakes, caching issues, or wrong versions.
  • Refactoring as your project changes: Add new build steps, Docker builds, environment variables, or multi-job workflows — Cursor updates everything consistently.
  • Explaining CI concepts: Cursor can explain what the pipeline is doing in plain language, which is extremely useful when learning CI.

 

Important Limitations to Remember

 

  • Cursor doesn’t run CI locally; GitHub/GitLab/CircleCI do.
  • Cursor can hallucinate if you don’t give enough context — always open the related files.
  • Always validate YAML syntax before committing; Cursor is good but not perfect.
  • Cursor can’t guess secrets. You still configure secrets in GitHub/GitLab settings.

 

Example Prompt You Can Use Inside Cursor

 

Copy/paste this inside your workflow file:

 

Using package.json, Dockerfile, and the test folder as context, generate a GitHub Actions workflow that:
- installs dependencies,
- runs linting,
- runs tests,
- builds the project,
- caches node_modules for faster builds.
Explain the steps in comments inside the YAML.

 

This is the real everyday workflow developers use: Cursor helps you write and maintain the CI/CD configuration, but the provider executes it.

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