Using LLMs as a Documentation Amplifier, Not a Shortcut

I've spent over a decade moving between software development and technical writing, and the workflow that's changed the most in the last two years isn't how I write — it's how I turn scattered, undocumented knowledge into something structured before I write a single line of user-facing content.

The problem AI actually solves for tech writers

The hard part of documentation was never sentence construction. It's extracting a coherent model from an engineer's head, a half-updated wiki, and three Slack threads, and turning that into something a user can follow without guessing. That extraction step is slow, and it's where most documentation projects stall.

What I've found genuinely useful is treating an LLM as a structured interview partner during that extraction phase — not as an autocomplete for prose.

Using LLMs as a Documentation Amplifier, Not a Shortcut

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