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As AI agents become more involved in development and testing, I’m wondering how this should change the way we manage QA work.
An agent-native project workspace could allow agents to:
Own specific testing or development tasks
Access relevant project and test context
Update results and report findings
Work on multiple tasks in parallel
Hand work back to humans for review
Keep agent activity and decisions traceable
SpiraTest is already moving in this direction with AI capabilities and MCP support, so I’m curious where this could go next.
I’ve also been looking at Sharkly.ai, which takes a broader approach by putting AI agents and human teammates into the same project workspace.
For SpiraTest users, would you want AI agents to become actual participants in the QA workflow, with their own ownership and accountability?
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