Documentation.AI
Build and update product documentation effortlessly with AI
994 followers
Build and update product documentation effortlessly with AI
994 followers
Create beautiful, always-current product documentation with AI. A built-in AI agent helps you write and maintain content and connects to dev and support tools for context. Edit via web, AI agent, or docs-as-code. A built-in assistant gives users instant, cited answers, reducing support load.
The integration with Jira/Linear is super helpful. Devs and technical writers would love it.
Documentation.AI
@zerotox yes, context is everything for an agent to write better documentation. We will soon integrate important support, project management, and Code commits in the coming weeks.
BeamUp
The looks great.
Definitely trying it out soon for for products.
Documentation.AI
@noel_mathew Thanks, Noel. Please ping us on Slack, if you need any help.
Swytchcode
Really awesome. Is there a provision in the generated docs to handle SEO, SEMs, LLM listings, etc., properly?
Documentation.AI
@chilarai Thank you! We’ve put a lot of thought into giving you as much control as possible. You can configure all of these options from the Settings section of the dashboard, and page-specific settings from the page metadata. If you’re using an IDE, you can configure them in the documentation.json
Swytchcode
@roopreddy Great! Love what you are building
Klariqo AI Voice Assistants
This looks so clean and easy to start with. Really great stuff team.
Documentation.AI
@hamza_afzal_butt Thank you Hamza! Yes, we handle all the most popular languages automatically, including typescript, javascript, python, java, go, rust, php, ruby, csharp etc.
I hope we can have a Chrome extension in the future.
Documentation.AI
@juntong_song Hey, do you need a chrome extension for capturing a screenshot, step-by-step process?
Lancepilot
How you handle versioning across major releases? BTW, congrats on the launch
Documentation.AI
@raihanshezan Thanks, Raihan!
To handle versions, we have something called Dimensions. For example, version, language, or multi-product. These dimensions make it easier for both humans and AI agents to understand and work with the product. There’s more detail about this in our docs.
https://documentation.ai/docs/customization-and-configuration/site-configuration#dimensions-layer