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Just Enough AI, Part 1: AI for Search and Discoverability

Blog post from ReadMe

Post Details
Company
Date Published
Author
Lyzi Diamond
Word Count
783
Company Posts That Month
4
Language
English
Hacker News Points
-
Post removed?
No
Summary

Technical writers contribute institutional knowledge, product-testing experience, and user understanding that generative AI cannot fully replace, but AI can supplement documentation workflows when used thoughtfully. The first installment of a three-part series focuses on improving documentation search and discoverability, areas where AI performs well by summarizing, structuring, and retrieving information across large bodies of content. It recommends AI-powered documentation search tools such as ReadMe’s Ask AI, which can be trained on a company’s content, configured for tone, detail, models, and restricted topics, and monitored through question and response analytics. The piece also emphasizes making documentation accessible to AI systems through agent-friendly features such as LLMs.txt files, link headers, agent skills, and direct MCP server connections for coding tools, helping those tools use accurate API details rather than inferred information.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
MCP 3 8,729 854 211 -20%
AI Coding Assistant 2 1,513 470 139 -19%
LLM 1 5,068 1,020 229 -34%
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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.