Anyone running local AI agent swarms? How do you handle visibility in Jira?
Ive been experimenting with running AI agent swarms locally (NanoClaw, Claude Code agents, etc.) to handle dev tasks like planning, implementation, and bug hunting. The execution side works surprisingly well.
But I keep hitting the same wall: once the swarm starts running, its a complete black box. Is the architect agent still thinking? Did the coder get stuck on something? Did the whole thing silently fail three hours ago? I have no idea unless I sit there watching a terminal.
And because none of it connects to Jira, there's zero audit trail. The PM has no visibility into what the AI actually did or decided.
Has anyone figured out a clean way to bridge this gap? Specifically:
- Getting agent progress updates into Jira issues as comments or status changes
- Keeping the agent runtime local (no sending Jira data to third party AI services).
- Maintaining some kind of audit trail so the team can see what happened
Ive been tinkering with a Forge plugin and a thin relay server to solve this for my own setup, but before I go further down that rabbit hole, Id love to hear if anyone else is dealing with this or has found a different approach.
What are you all using?
Emo.