We release several times a week, and keeping the documentation accurate is becoming increasingly difficult. Code changes go through a clear review process, but documentation updates are less consistent. For example, a parameter or response field may change, the release ships, and only weeks later do we discover that examples still describe the old behavior. We've tried adding documentation to the pull request checklist, but engineers often aren't sure which pages are affected. What processes, tooling, or workflows have helped your team keep documentation current?
4 Answers
Automated checks can help find the pages people don’t realize are affected. Examples include generating API documentation from the source, testing code samples, checking links and schemas, and running a drift check when public interfaces change. These checks won’t replace review, but they’re more reliable than expecting everyone to remember every related page.
Make documentation part of the definition of done for every change, not an optional checklist item. Put it on the project ticket and require the relevant pages, examples, or API descriptions to be updated before the work is considered complete. For larger changes, updating the docs first can also clarify the intended behavior before the implementation is finished.
Treat documentation as a versioned deliverable alongside the code. Keep the source files in the same repository, require documentation updates in the pull request, and publish the docs from the same commit or release artifact as the application. That makes it much harder for the product and its documentation to drift apart.
The publishing pipeline needs to be coupled to the release pipeline. If documentation is built or deployed separately, establish a rule that the release cannot go out until the matching docs have been reviewed and published. Even a lightweight gate is useful, as long as it applies to public behavior changes rather than forcing unnecessary edits for every internal code change.
That’s helpful. The unknown affected pages are probably our biggest problem, so generated references and drift checks seem worth investigating.