I built an AI PR-triage agent in 30 lines of Markdown

This is a submission for the Google I/O Writing Challenge

A recipe for the AI PR-triage agent I built after Google I/O 2026: three Markdown skill files, one Python runner, one real public GitHub repo, about twelve cents per run.

1. What I built

At Google I/O 2026, Logan from the Gemini API team walked through an AGENTS.md file for an AI talk-radio agent and dropped a line on stage that stuck with me: "the hottest new programming language is Markdown." He had written no orchestration logic, just skills and tools in Markdown files, and the agent shipped a finished podcast episode from a single API call.

I took that seriously. The next day, I spent a few hours building an AI pull-request triage agent on the public Gemini API. Three Markdown skill files, one small Python runner, one real public GitHub repo as the target. The agent scanned sixteen open pull requests, categorized each by risk, drafted a one-line summary, and produced a grouped report. Two consecutive runs, identical category distributions, under two minutes each, about twelve cents per run.