AI-assisted documentation
Drafting workflows that convert actual code behavior into clear README sections, API examples, and release notes.
Takeaway
AI documentation works best when it starts from actual files, commands, examples, and verification output instead of abstract product claims.
01
Start from behavior
Give the assistant the route list, scripts, public API shapes, and current README before asking it to draft. Documentation should describe what the app does now, not what the roadmap hopes to include later.
02
Preserve operational details
Keep install commands, environment assumptions, limits, status codes, and verification commands exact. These details are more valuable to users than polished but vague summaries.
03
Edit for promises
Before publishing, remove claims that sound broader than the implementation. A small accurate doc builds more trust than a larger page full of future-tense language.