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Which AI tool do you use for documentation?

prajaktaa

I am curious to know that which AI tool the community members are using to create or improve technical documentation.

Whether it is for the project documentation, API documentation any troubleshooting guides, or internal knowledge base articles, AI has become a helpful assistant for many professionals.

Some popular options include ChatGPT, Claude, Gemini, GitHub Copilot, Microsoft Copilot, and Perplexity, but each has its own strengths and limitations.

My questions are:

  • Which AI tool is easy to use for documentation?
  • What type of documentation do you create with it?
  • What do you like most about the tool?
  • Have you found any limitations or challenges?
  • Do you rely on AI-generated content as-is, or do you always review and edit it before publishing?

I'd love to hear about your workflow, practical experiences, and any tips or best practices you've discovered.

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  • I have taken course on udemy.com for LLMs and Agentic AI. I've used every Model and agentic tool available. I use them for Brainstorming Embedded projects using various languages and a wide verify of Evaluation kits. Leaning on AI for design, brainstorming, and vibe coding is a highly effective workflow for me. It is especially useful when prototyping or mapping out the logic for embedded hardware platforms —you can nail down the architecture and flow conceptually before getting bogged down in the syntax.

    Currently, I use Gemini exclusively for Design, Brainstorming and vibe coding.

    I have not generated documentation from AI yet . The thread here is interesting and I'm open to checking out the possibilities of using the tools mentioned in the thread.

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  • I have taken course on udemy.com for LLMs and Agentic AI. I've used every Model and agentic tool available. I use them for Brainstorming Embedded projects using various languages and a wide verify of Evaluation kits. Leaning on AI for design, brainstorming, and vibe coding is a highly effective workflow for me. It is especially useful when prototyping or mapping out the logic for embedded hardware platforms —you can nail down the architecture and flow conceptually before getting bogged down in the syntax.

    Currently, I use Gemini exclusively for Design, Brainstorming and vibe coding.

    I have not generated documentation from AI yet . The thread here is interesting and I'm open to checking out the possibilities of using the tools mentioned in the thread.

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