What Is Docs-as-Code
In this tutorial, you will learn about What Is Docs. We cover key concepts, practical examples, and best practices to help you master this topic.
Docs-as-code is the practice of writing, reviewing, and publishing documentation using the same tools and workflows as software development — Git, CI/CD, linters, static site generators, and Pull Request reviews.
What You'll Learn
You will learn the formal definition of docs-as-code, the core principles that differentiate it from traditional documentation, and how it fits into the software development lifecycle.
Why It Matters
Organizations that adopt docs-as-code ship documentation faster, keep it more accurate, and enable more contributors. A well-implemented docs-as-code pipeline reduces the time from code change to doc update from days to minutes.
Real-World Use
Stripe, Twilio, and DigitalOcean all use docs-as-code. Their documentation teams use Git, Markdown, and CI/CD pipelines. The DodaTech tutorials platform follows the same pattern.
flowchart LR
A[Code Change] --> B{Docs Affected?}
B -->|Yes| C[Update Docs in Same PR]
B -->|No| D[Merge Code]
C --> E[Lint and Build Docs]
E --> F[Review Docs in PR]
F --> G[Merge Code and Docs Together]
G --> H[Auto Deploy Docs]
A:::current
classDef current fill:#f90,color:#fff,stroke:#333,stroke-width:2px
The Four Pillars of Docs-as-Code
1. Version Control
Every doc file is stored in Git alongside code. Every change creates a commit. Every commit has a message explaining why the change was made.
# View the history of a specific doc file
git log --oneline --follow content/api/authentication.md
Expected output:
a1b2c3d Fix token expiry note for refresh endpoint
e4f5g6h Add authentication guide with curl examples
h7i8j9k Initial API documentation scaffold
2. Automation
Linting, building, and deployment are automated. Writers do not need to run manual steps to publish.
# .github/workflows/docs-ci.yml
name: Docs CI
on: pull_request
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Lint with markdownlint
run: npx markdownlint-cli2 content/
- name: Spell check with cspell
run: npx cspell content/**/*.md
3. Review
Documentation goes through the same pull request review Process as code. Reviewers check for accuracy, clarity, style, and formatting.
## PR Review Checklist for Docs
- [ ] Technical accuracy: Does the doc match the current behavior?
- [ ] Clarity: Can a new user follow the instructions?
- [ ] Style: Does it follow the project style guide?
- [ ] Formatting: Are code blocks, lists, and headings correct?
- [ ] Links: Do all links resolve to existing pages?
4. Publishing
Deployment is triggered automatically when changes merge to the main branch.
# Netlify deploys automatically when main branch updates
# Manual deploy command (for reference):
npx netlify-cli deploy --dir=public --prod
Comparison with Traditional Documentation
| Aspect | Traditional | Docs-as-Code |
|---|---|---|
| Content format | Proprietary (Google Docs, Confluence) | Plain text (Markdown, AsciiDoc) |
| Storage | CMS database | Git Repository |
| Version history | Limited or none | Full commit history |
| Publishing | Manual | Automated CI/CD |
| Review | None or email | Pull request |
| Quality checks | Manual proofreading | Automated linting |
| Contribution barrier | CMS access required | Git + PR workflow |
| Sync with code | Manual | Co-located in same repo |
Common Mistakes
1. Adopting Tools Without Changing Workflow
Switching to Markdown and Git does not automatically fix documentation problems. You must also adopt the workflow — review, automation, and shared ownership.
2. Making the Pipeline Too Complex
A docs pipeline with seven tools and five CI steps overwhelms contributors. Start with Git, one linter, and one deploy step. Add more as needed.
3. Excluding Non-Developers
If your team includes technical writers who are not developers, provide training on Git basics and offer GUI tools like GitHub Desktop.
4. Not Defining Done
Without a clear definition of when documentation is complete, writers ship incomplete or inaccurate docs. Include documentation in your team's definition of done.
5. Treating All Docs the Same
Reference documentation needs different rigor than blog posts. Adapt the pipeline for different content types.
Practice Questions
1. What are the four pillars of docs-as-code?
Version control, automation, review, and publishing.
2. How does docs-as-code improve documentation accuracy?
By co-locating docs with code in the same repository and requiring doc updates as part of the same PR that changes the code.
3. What is the role of automation in docs-as-code?
Automation eliminates manual publishing steps, enforces quality checks through linting, and ensures the deployed site matches the repository.
4. Can docs-as-code work for non-open-source projects?
Yes. Private repositories use the same workflows. The tools work the same whether the repository is public or private.
5. Challenge: Write a one-paragraph pitch explaining docs-as-code to a team that uses Confluence. Include three concrete benefits.
FAQ
Mini Project
Convert a section of your current documentation from your existing CMS into a docs-as-code workflow. Write the content in Markdown, create a Git repository, configure markdownlint, and set up a CI workflow that builds a preview.
What's Next
Now that you understand what docs-as-code is, learn Version Control with Git to manage your doc files. Then explore Markdown Basics for formatting documentation.
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