Project Management

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Is Jira Still Enough for Teams Working With AI Agents?

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Herve Kom Singapore

Jira has become a standard for managing software projects, but AI agents are changing what a “team member” can actually be.

Traditionally, project management tools are built around assigning work to humans. But what happens when an AI agent can research an issue, write code, run tests, and report its progress?

That makes me wonder whether we need a different kind of project management platform—one where AI agents aren't just tools used by developers, but actual participants in the workflow.

I’ve been looking at Sharkly for this reason. It takes an interesting approach to the Jira alternative space by treating AI agents more like real teammates: they can be assigned tasks, work in parallel, share context, and report results while humans remain involved in review and decision-making.

For teams already experimenting with AI agents:

Would you want your project management tool to treat AI agents as teammates with assigned responsibilities, or should agents remain separate tools?

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