Improved developer docs for Agents
Blog post from Fern
Fern Docs has introduced several enhancements to its documentation tool, focusing on improving accessibility and efficiency for both developers and AI tools. The updates include integrating full OpenAPI specifications and code samples for various languages in the llms.txt format on every API endpoint page, which aids AI tools in understanding API structures and assists developers in implementing endpoints accurately. Additionally, Fern Docs now automatically serves Markdown content instead of HTML when detecting large language model (LLM) bots, significantly reducing token consumption and associated costs. The Fern Dashboard offers new analytics capabilities, allowing users to track AI agent interactions with their documentation, providing insights into page-level visitor breakdowns and identifying which AI tools are accessing the documentation. These advancements aim to enhance the overall developer experience by making documentation more agent-friendly and efficient to manage.
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