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How to Make Your Developer Documentation Work with LLMs: Lessons from the Trenches

Blog post from FusionAuth

Post Details
Company
Date Published
Author
Dan Moore
Word Count
3,222
Company Posts That Month
8
Language
English
Hacker News Points
2
Post removed?
No
Summary

Large language models (LLMs) are increasingly being used by developers to write code and discover tools, with over 97% of GitHub developers using AI coding tools. To help LLMs and developers use documentation effectively, companies can modify their docs to make them work better with LLMs. This can be achieved through building great docs that are well-structured, up-to-date, and consistent, or by deploying an AI-powered documentation assistant (chatbot) that provides a convenient interface for users. Another option is to generate an `llms.txt` file, which helps LLMs discover and ingest content, and includes features like semantic density and markdown text. Finally, adding a "copy to markdown" button allows developers to leverage LLMs in a similar way to providing the full documentation, making it easier for them to use the docs effectively.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 74 4,437 679 217 -3%
MCP 7 3,415 369 124 -6%
AI Coding Assistant 3 881 148 85 +4%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.