joy larkin

A Markdown taxonomy that turns a messy, fast-moving field into a searchable knowledge map, with duplicate labels, emerging categories, and a bias toward what the AI stack may look like next.

A tiny metadata layer that turns a content site into an agent-friendly knowledge base, with `llms.txt` for language models and CSV for pipelines.

A static site on the surface, an automated publishing pipeline underneath. The repo shows how Markdown posts, GitHub Actions, and hidden Python tooling combine into a version-controlled news engine.

A single Markdown file turns a personal profile into a forward-looking landing page for AI curation, open-source advocacy, and professional positioning.

A tiny GitHub archive that hides a bigger idea: Micro.blog can emit a machine-readable trail of posts, and open web standards turn that trail into something durable, portable, and searchable.

A curated data repo that tracks coding models, agents, IDEs, and app builders, then exposes the whole landscape through CSVs, Hugging Face, and MCP.

How a Python-driven repository became the machine-readable crisis dashboard for the most controversial agent framework in open-source history.