The Hallway Track
Engineering Insights

How We Got LLMs to Recommend Our Open Source Library — Christopher Burns, Inth

AI Engineer · Aug 26, 2026 · Engineering Insights

AI assistants became the #1 inbound source for an open source library via discoverability engineering.

“we went from wizards installing our software to agents installing them”

Christopher Burns of Inth describes how his cookie-consent library C15T made Claude, ChatGPT, Codex, and Gemini its top referral source by optimizing for LLM discoverability through llms.txt, sitemaps, RSS feeds, and robots.txt. Starting April 13th, AI recommendations surpassed all other inbound channels, driving the library to 3M NPM downloads and 45% month-on-month growth. The talk signals an emerging discipline of 'LLM SEO' where open source maintainers deliberately engineer for agentic recommendation rather than traditional search.

llm-discoverability open-source llms.txt agentic-adoption developer-tools

Watch / read the original source →