Prompt

How do I set up a static site docs tool for docs-as-code workflows and preview deployments?

Latest observation

Jul 17, 2026 · OpenAI APIWeb search: off

A good setup for docs-as-code + preview deployments usually has these parts:

  1. Write docs in Markdown
  2. Build them with a static site generator
  3. Store docs in Git
  4. Auto-deploy previews for every pull request
  5. Publish production docs on merge/release

1) Pick a static site docs tool

Common choices:

  • Docusaurus — great for product docs, versioning, MDX, search, strong docs-as-code workflow
  • MkDocs + Material — simple, fast, very popular for technical docs
  • VitePress — lightweight, good if you want Vue-based customization
  • Docsify — easy to start, less “static site” heavy
  • Sphinx — common for Python/open-source documentation

If you want a straightforward docs-as-code setup with preview deployments, MkDocs Material or Docusaurus are usually the easiest.


2) Create the docs project

Example: MkDocs

pip install mkdocs-material
mkdocs new docs-site
cd docs-site

Structure:

docs-site/
  docs/
    index.md
    getting-started.md
  mkdocs.yml

Basic mkdocs.yml:

site_name: My Docs
theme:
  name: material
nav:
  - Home: index.md
  - Getting Started: getting-started.md

3) Keep docs in the same Git repo as code

This is the usual docs-as-code workflow:

  • source code in Git
  • docs in Markdown in the same repo
  • pull requests update docs alongside code changes
  • reviewers can comment on docs changes just like code

Typical repo layout:

repo/
  src/
  docs/
  mkdocs.yml
  package.json or requirements.txt

4) Add local preview for authors

Make it easy for contributors to preview changes locally.

MkDocs

mkdocs serve

Then open:

http://127.0.0.1:8000

This matters because contributors can validate formatting, links, navigation, and search before opening a PR.


5) Configure preview deployments for pull requests

This is the key part for docs-as-code workflows.

Preview deployments let every PR get its own temporary docs URL, so reviewers can:

  • see rendered docs
  • verify nav and links
  • review screenshots and UI elements
  • catch broken formatting before merge

Typical preview flow

  • PR opened → CI builds docs
  • CI deploys to a unique preview URL
  • PR comment or status check includes the preview link
  • PR updated → preview updates automatically
  • PR closed → preview deleted

6) Choose a hosting/deployment platform

Common platforms with preview support:

  • Netlify — excellent preview deploys for static sites
  • Vercel — strong preview deployments, very easy setup
  • GitHub Pages — good for production docs, but preview deployments are less native
  • Cloudflare Pages — great preview deployments and fast edge hosting
  • GitLab Pages — good CI-based docs hosting

For docs-as-code with previews, Netlify, Vercel, or Cloudflare Pages are the smoothest.


7) Set up CI/CD

You’ll want a pipeline that:

  • installs dependencies
  • builds the site
  • runs tests/linting if applicable
  • deploys preview for PRs
  • deploys production on main branch

Example GitHub Actions workflow for MkDocs

name: Docs

on:
  pull_request:
  push:
    branches: [main]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: Install dependencies
        run: pip install mkdocs-material

      - name: Build site
        run: mkdocs build

For actual preview deployment, your hosting provider’s integration usually handles the URL creation.


8) Add automatic preview URLs

If using Netlify/Vercel/Cloudflare Pages:

  • connect your Git repo
  • configure the build command (mkdocs build, npm run build, etc.)
  • configure the output directory (site/, dist/, etc.)
  • enable preview deploys for PRs

Example settings for MkDocs on Netlify:

  • Build command: mkdocs build
  • Publish directory: site

9) Use docs checks in CI

To keep docs healthy, add checks like:

  • link checking
  • markdown linting
  • spelling checks
  • broken image detection
  • build validation

Examples:

  • markdownlint
  • lychee for links
  • vale for style/spelling
  • mkdocs build --strict or equivalent

10) Recommended workflow

A solid docs-as-code workflow looks like this:

  1. Writer/developer edits Markdown in a feature branch
  2. Open a PR
  3. CI builds preview deployment
  4. Reviewers inspect preview URL
  5. Fix issues if needed
  6. Merge to main
  7. Production docs automatically deploy

Suggested “best default” stack

If you want a practical default:

  • Tool: MkDocs Material
  • Repo: GitHub
  • Hosting: Netlify or Cloudflare Pages
  • CI: GitHub Actions
  • Checks: markdownlint + link checker + docs build
  • Workflow: PR previews + main branch production deploy

If you want the simplest possible setup

Use:

  • MkDocs Material
  • GitHub repo
  • Netlify
  • PR previews enabled

That’s probably the fastest path to a clean docs-as-code + preview deployment workflow.

If you want, I can give you a step-by-step setup for one specific tool like MkDocs Material + GitHub Actions + Netlify, or Docusaurus + Vercel.

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