How to Make Your Open-Source Library Easier for AI Agents to Find, Trust, Use and Love
A practical checklist, with a real repository as the case study
More and more developers now ask an AI agent before they ask a search engine. lets imagine they are asking this question"What's a good library for extracting links from Markdown?" is as likely to go to a coding assistant as to Google.
Once an agent is inside a project, it also picks dependencies, reads documentation, and writes code against your API, often without a human opening your README at all. So a new question for OSS maintainers is how to make a project legible to agents.
I'll use a small, real project as the case study: markdown-regex, a zero-dependency TypeScript library of ready-made RegExp constants for parsing Markdown. It has a solid base: a clear install section, an API table, TypeScript types, dual ESM/CommonJS builds, and CI across several Node versions. It also has about 11 stars, which makes...
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