I recently added a new AI agent command called pr-watch to my command collection.

I use pr-watch to stay on top of PRs across repos without constant tab-checking or noisy AI polling. It only wakes the assistant when something meaningful changes, so I can keep deep focus and still respond quickly when reviews or CI need action.

Learn more and try it yourself: github.com/anneveling/ai-kit/tree/main/commands/pr-watch

The core idea is simple: keep a live PR inbox across repositories, but only wake up the assistant when there is meaningful change (review activity, CI status changes, merge state updates).

I am currently working with an international team on an AI-driven startup, and we use Claude Code heavily in day-to-day development.

As development pace grows, so does PR volume across multiple repos and apps. In that setting, pull requests create constant background stress:

Without a good system, I either keep context-switching to GitHub tabs or check too late.

I still want to do thoughtful reviews myself, but now with AI support: I use AI to help review, filter, and steer findings so signal stays high and action stays clear.

Most AI-powered monitoring loops are expensive in both attention and tokens.

pr-watch avoids that by splitting responsibilities:

That means no constant "nothing changed" chatter and no token burn for idle polling.

In daily use, it gives me one clear PR inbox that shows:

This workflow also improves my own understanding of the codebases we are building, because I stay continuously involved in review loops across all repos and apps.

So in a high-velocity startup setting, pr-watch helps me stay focused longer, review better, and still react fast when collaboration actually needs me.