[auszeph]

Ours currently runs with Cloud Tasks, which involves some cleanup handling if one run fails to enqueue the next.

Originally I had Cloud Scheduler running a heartbeat task every X mins, and the one of the heartbeat tasks was to look for any overdue scheduled tasks and fire them off. So they were not very precise in timing, but a very simple setup.

I made the move to Cloud Tasks so I could heartbeat less often. Now the cleanup happens in the heartbeat - ensure all scheduled tasks have a matching cloud task pending.

Feedback on PRs was an interesting challenge - since we can get it from Slack replies, Github comments, CI failures and we want to be fairly reactive. I ended up leaning on Firestore realtime queries, the harness on the agent VM is subscribed and can interrupt the agentic loop to feed in new feedback as it comes in. All gets very complicated to OSS, but it has helped to get quicker feedback loops going.