The Docs-as-Code Workflow: How to Write Technical Documentation Step by Step
Writing technical documentation is no longer a matter of opening a word processor and typing. Modern teams treat documentation the way they treat code: written in plain-text Markdown, stored in version control, reviewed through pull requests, tested in a pipeline, and published automatically. This approach, called docs-as-code, gives you history, review, and reproducibility for free — and it scales from a solo project to a hundred contributors.
This guide walks the full workflow as an ordered set of steps you can adopt incrementally. You do not need to switch everything at once. If you are new to the field, start with our beginner's guide to technical writing, and use our documentation review checklist to gate each step. For a deeper survey of the practice and its tooling, the Write the Docs docs-as-code guide is the definitive community reference.
Step 1: Plan Before You Write
Every good document starts with three decisions made before a word is drafted: the audience, the reader's goal, and the document type. Write a one-line reader profile and a one-line promise ("after this, the reader can deploy the service"). Then pick the type deliberately — a tutorial teaches through a guided path, a how-to solves one specific task, a reference is a lookup, and an explanation gives background. This four-type framework (from the Diátaxis model) prevents the most common documentation failure: mixing a tutorial and a reference into a page that serves neither. Sketch the headings before drafting; the outline is where structure is cheapest to fix.
Step 2: Draft in Markdown with a Toolchain
Draft in a lightweight markup language — Markdown is the near-universal default — so your content is plain text that any editor can open and version control can diff line by line. Pair it with a static site generator such as MkDocs, Docusaurus, Sphinx, or Hugo, which turns your Markdown into a searchable, navigable site. Keep images and diagrams in the repository alongside the prose so they version together. Write one sentence per line ("semantic line breaks") to make diffs and reviews readable. The payoff of plain text is enormous: your documentation lives next to the code it describes, so a developer changing a feature can update the docs in the same change.
Step 3: Review Through Pull Requests
Because your docs are text in version control, every change can go through the same pull-request review the code does. This is transformative for quality: a subject-matter expert can verify technical accuracy inline, an editor can suggest wording on the exact sentence, and the whole discussion is preserved. Set a lightweight standard — every change reviewed by at least one person, accuracy-critical changes reviewed by an SME. Reviewers should test claims, not just read them. The pull-request model also removes the awkward email-a-Word-doc cycle; feedback is specific, threaded, and attached to the line it concerns.
Step 4: Test the Documentation
Documentation can and should be tested automatically. Run a prose linter such as Vale with the Google or Microsoft style rules to enforce voice, terminology, and formatting on every commit. Run a link checker to catch broken internal and external links before readers do. For code samples, extract and execute them in CI so a sample that no longer compiles fails the build — nothing erodes trust faster than a copy-paste example that errors. These checks turn subjective "looks fine" review into objective gates, and they catch the drift that inevitably creeps in as the product changes.
Step 5: Build and Publish Automatically
Wire your static site generator into a CI/CD pipeline so that merging to the main branch rebuilds and deploys the documentation site automatically — to GitHub Pages, Netlify, Read the Docs, or your own host. Automated publishing means there is never a manual "push the docs" step to forget, and the published site always matches the reviewed source. Version your documentation alongside product releases so readers on an older version see the docs that match their software, a pattern platforms like Read the Docs support natively.
Step 6: Maintain and Retire Content
Documentation is a living asset, and the highest-quality sites are as disciplined about removing stale content as adding new. Schedule periodic content audits, track which pages are never visited or generate support tickets, and add a "last reviewed" date so readers can judge freshness. Retire pages for deprecated features rather than leaving them to mislead. To operationalise all six steps, our Documentation Workflow Starter Kit template ships a ready-to-clone repository structure, a Vale config, and a review checklist, and the Darlo Technical Writing docs-as-code course walks through setting up the full pipeline hands-on. Explore it at /courses. For deeper guidance on structuring the content itself, see our guide to requirements documentation.
Documentation Workflow Starter Kit
A ready-to-clone docs-as-code repository template with a folder structure, Vale style-linter config, link-checker setup, and a pull-request review checklist to get your pipeline running today.
What is docs-as-code?
Docs-as-code is an approach that treats documentation like software: written in plain-text Markdown, stored in version control, reviewed through pull requests, tested in a CI pipeline, and published automatically. It gives documentation the same history, review rigour, and reproducibility that code enjoys, and it scales cleanly from solo projects to large teams.
Do I need to know how to code to write technical documentation this way?
No, but basic familiarity with Git and Markdown helps. Both are learnable in a few hours. The workflow is designed so writers and developers collaborate in the same system, and many teams onboard writers with no prior coding background.
Which static site generator should I use?
MkDocs (with the Material theme) is the easiest starting point; Docusaurus suits React-based product docs; Sphinx is standard in the Python world; Hugo is fast for large sites. Choose based on your team's existing stack rather than chasing features.