As AI agents become part of development and delivery workflows, I’m wondering how teams should coordinate several agents working on different tasks at the same time.
A useful multi-agent collaboration platform would ideally provide:
- Shared project context
- Clear ownership of tasks
- Multiple agents working in parallel
- Visibility into each agent’s progress
- Human review before important decisions
I’ve been exploring Sharkly.ai, which takes an interesting approach by bringing multiple AI agents into a shared team workflow instead of treating each agent as a separate assistant.
With Jira Align already focused on coordinating work across teams, programs, and portfolios, I’m curious how others see multi-agent collaboration fitting into that model.
Would you treat AI agents as project participants with their own responsibilities, or keep them behind the scenes as automation?
