AI‑stacked maintainers can squash PRs in hours, not days
When the project lead runs a small LLM‑powered CLI, a simple issue gets resolved in 90 minutes and a complex bug in three hours, complete with regression tests. The speedup shows that a well‑supervised AI agent, paired with a craft‑focused maintainer, can replace contributor PRs entirely. The model‑driven workflow could become the norm for AI‑first open‑source projects.