maintaining-docs-as-code

Docs as code manages documentation using software development practices like version control, CI/CD, automated testing, and review workflows, ensuring accuracy and consistency. It treats documentation with the same rigor as code.

Automate documentation validation in a CI/CD pipeline by configuring build tooling to integrate linting, spell-checking, and link-checking for Markdown documentation files. This ensures documentation is validated with every code release.

Yes, you can maintain API documentation alongside code using version control. This approach tracks all documentation changes with the codebase, ensuring docs automatically reflect the latest updates through integrated deployment pipelines.

Yes, the docs as code workflow works with GitHub Actions for automated builds. You can configure a GitHub Actions workflow to lint and check links for Markdown files, ensuring documentation is always up-to-date and accessible.

The best way to ensure technical writing accuracy during code releases is applying docs as code practices. Integrating automated validation and deployment pipelines ensures documentation always reflects the latest changes without manual intervention.

You should avoid automated testing and review workflows for documentation if your project lacks configuration capabilities for build tooling, linting, and deployment pipelines, as docs as code requires this environment setup to function reliably.