Web-only documentation is slowing local AI agent knowledge setup
When AI agents use niche or newly released technology, general-purpose AI models may not know it well and can produce weak code that does not follow the technology's normal conventions. A containing the relevant can give the model a reference and make its code more consistent and useful. The obstacle is that for emerging tools often exists only as web pages made with a such as .
The current workflow each page separately with a before importing it. A faster process is needed to collect the full site and load it into the with less manual work.
Key points
- AI models may produce poor or unconventional code when they lack knowledge of a new technology.
- Relevant can be placed in a for the model to consult.
- for emerging tools often exists only on websites built with tools such as .
- The current process each page separately through a .
- A streamlined way to collect and import an entire site is needed.