Why Your GitHub README Matters More Than Ever in the Age of AI Agents

A developer building an AI-powered career intelligence platform discovered that README files — not source code — proved most valuable for inferring a developer's skills and experience. The project aggregates professional data from multiple sources, including GitHub, into a unified knowledge graph to identify capability gaps and suggest career improvements. During the build, the team found that many developers with impressive repositories remained invisible because their READMEs were absent or poorly written. A well-crafted README allowed the embedding-based reasoning engine to surface insights that the code alone could not provide. The author argues that as AI agents increasingly surface information outside traditional search, optimizing documentation for machine readability is becoming as important as SEO.