The article explores whether current project management tools need to evolve to support multi-agent systems where AI handles research, coding, and deployment. It suggests that a platform designed for agents should manage tasks, shared context, dependencies, parallel execution, and logs.
- Tasks assigned to specific agents
- Shared project context and memory
- Dependencies between agent tasks
- Parallel execution with clear ownership
- Logs of agent actions and outputs
- Human review and approval where needed
The author references the HF Agent OS project and Sharkly.ai as examples of this emerging approach, asking the community what features they would expect from such a platform.