How to Clean Up Documentation Fast

Documentation rots. A README written in a hurry, a wiki page three contributors deep, API notes that drifted from the code — they’re all readable-ish, and all in need of a cleanup nobody has time for. AI can do that cleanup in seconds, but there’s a specific danger with docs: most AI rewrites flatten them, turning your careful headings, code fences, and tables into a gray paragraph soup. Here’s how to clean up docs fast without wrecking their structure.

What “cleaning up docs” means (and the structure trap)

A good documentation pass improves the prose while protecting the scaffolding:

• Clarity — untangle dense sentences, fix passive-voice mush, define jargon on first use.
• Consistency — same terms for the same things, consistent heading style and voice.
• Completeness — flag (don’t invent) missing steps, prerequisites, or examples.
• Scannability — break walls of text into lists and short paragraphs.

The hard constraint — and where most tools fail — is structure safety. A docs cleanup must not:

• rewrite the contents of code blocks or change their syntax,
• alter variable names, file paths, commands, or API signatures,
• collapse tables, headings, or nested lists into prose,
• “improve” example output so it no longer matches reality.

If a rewrite touches any of those, it didn’t help — it introduced bugs into your docs.

The generic method (any AI tool)

1. Select and copy the section (do it section by section for long docs).
2. Open ChatGPT, Claude, Gemini, or any AI chat.
3. Paste with strong structure guardrails:

   “Clean up this documentation for clarity and consistency. Keep all markdown structure — headings, lists, tables, and code blocks — exactly. Do NOT change anything inside code blocks, variable names, commands, or file paths. Don’t invent steps. Return only the edited markdown:”

4. Diff it against the original carefully — confirm no code, command, or path changed.
5. Copy it back, replace the section, and re-check the markdown rendered correctly.

It works, but the verify step is real work, and the paste back into your editor or wiki frequently breaks the very markdown you were trying to preserve.

The one-hotkey way with EditSnappy

EditSnappy is structure-safe by design, which makes documentation its natural fit:

1. Select the doc section in VS Code, your wiki editor, Notion, Obsidian, a Markdown file, anywhere.
2. Trigger a cleanup action (built-in “Clean up & format,” or your own — see custom prompts) with your hotkey.
3. The cleaned text streams in to replace your selection, and a live diff shows you exactly what changed — Tab to accept, Esc to keep your original.

The key difference: EditSnappy ignores code blocks, variables, and markdown tables on a rewrite instead of mangling them, and it preserves your markdown — headings, fences, nested lists all survive the replace. The model’s preamble is stripped, so no “Here’s the cleaned-up version:” lands in your README.

Why the diff and the structure-safety are non-negotiable here

Documentation is code-adjacent: a “cleanup” that silently changes a command or a variable name is a landmine for the next person who copies it. That’s why seeing the change first matters more for docs than almost anything — EditSnappy’s live diff lets you scan precisely what it touched before you accept, and your original stays one keypress away in local history.

And it lands the edit where docs actually live — VS Code, JetBrains, Obsidian, Notion, all Electron- or Java-based apps where most inline AI tools silently fail because the OS accessibility API misfires. EditSnappy is built around that: native write first, then a clean inject or one-click “Insert” fallback so the cleaned doc actually replaces. One hotkey, Mac and Windows.

Stop letting docs rot because the cleanup is risky and slow. Start a free trial — no credit card and tidy them safely in place. Pair it with explaining a code snippet, and see the task index for the rest.