Documentation as Engineering Work

Documentation is part of the system people use to operate software. When it is missing, engineers reconstruct knowledge from code, chat history, dashboards, and the memory of whoever happens to be available.

Write for a real decision

A useful page helps someone understand, act, or recover. Begin with the reader and the decision they face. Then include only the model, steps, safety boundaries, and verification needed for that outcome.

Commands without explanation encourage copying. Explanation without a check leaves the reader unsure whether the work succeeded. Good operational documentation provides both.

Keep knowledge close to change

Review documentation when the interface, deployment, dependency, ownership, failure mode, or recovery process changes. Make the documentation update part of the same review when possible.

Every maintained page should have:

• a clear scope and owner;
• a last-reviewed date;
• searchable terms and consistent tags;
• commands that state their assumptions and side effects;
• verification and rollback where the task changes a system; and
• links to authoritative sources for facts that change outside the company.

Support people and tools

Human-readable pages need navigation, typography, and examples. Engineering tools and AI agents benefit from predictable metadata, stable URLs, clean Markdown, and a complete text index such as llms.txt.

The machine-readable version should preserve the same warnings and context as the visual page. Removing safety notes to make retrieval shorter creates a faster path to the wrong action.

Measure whether it works

Page count is not documentation quality. Look at search success, repeated support questions, onboarding friction, task completion, stale-page reports, and whether incident responders can find the right runbook under pressure.

The best documentation reduces avoidable coordination while improving the quality of the decisions that remain.

Reference

• DORA: Documentation quality