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Technical writing, AI, and docs engineering by Fabrizio Ferri Benedetti.
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Episode IX of Phase One: Orchestrating docs, AI accuracy, and the pipeline writer
Ninth episode of the AI & Docs podcast series is up! In this one, Tom and I talk with Sarah Deaton, a technical writer at Anthropic, about what documentation work looks like when automation handles most content generation: shifting from writing to orchest
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Advice for tech writers on a job hunt in the AI age
A friend of mine recently lost her job in a layoff. She looked at her résumé with a pang of despair and asked me for advice on what she should learn next. She hasn't thrown in the towel on technical writing yet; she wants to find another tech writing job,
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You can write in LLMese, but you don't have to
While chatting with Sarah Deaton about the formats agents could use to talk to each other, we got to questions that might sound obvious: why should machines (say, LLMs) communicate with each other like we do? Do they need all the rhetoric we carry around?
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Feed the machines, then guide the humans
Docs as code used to mean editing docs as if they were code. Today it also means that docs have become executable , either as agentic instructions, skills, or context for large language models. Tech writers must now ensure that the reference and procedure
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Fine-tuning an LLM to write docs like it's 1995
In my predictions for 2030 I wrote that tech writers would be using specialized LLMs, running locally on powerful hardware. I see hints of this move to "local first" among engineering pundits, but we're not there yet, in part because of how much more powe
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