Technical writing workflow

Use markdown as the authoring format

Markdown is a strong authoring format for technical writing because it keeps content portable, reviewable, and easy to version. It works well for product specs, API notes, runbooks, architecture decisions, release notes, and internal guides.

Use consistent heading levels, short sections, and descriptive titles. Put code examples in fenced blocks, tables in GitHub-flavoured markdown, and diagrams close to the explanation they support.

Add diagrams where they reduce explanation

Technical writing often needs more than prose. Use Mermaid for flowcharts, quick sequence diagrams, and process diagrams. Use PlantUML for formal UML, C4-style architecture views, and component relationships.

A good diagram should answer one question. If a diagram explains data flow, do not also force it to explain deployment, ownership, and error handling. Split large visuals into smaller diagrams with clear headings.

Export snapshots for reviewers

Many reviewers still prefer Word because comments, Track Changes, and familiar editing workflows are built in. Export Word snapshots at review milestones while keeping markdown as the editable source.

After review, merge accepted feedback back into the markdown. This prevents the Word copy from becoming the only updated version of the document.

• Draft and revise in markdown
• Export Word for PM, legal, client, or manager review
• Merge feedback back into markdown
• Re-export Word or PDF when approved

Use AI carefully in documentation

AI can help outline a document, rewrite rough notes, create tables, or generate diagram source. Treat AI output as a draft, not the authority. Verify examples, commands, API details, diagrams, and claims before exporting.

Markdownyi fits this workflow because AI-generated content is usually markdown already. You can paste the draft, clean the structure, preview the result, and export a reviewable file without losing the source.