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To manage complex software project tasks and dependencies across multiple sessions, use an agentic project management system that tracks task decomposition, execution, and review while maintaining project graph integrity.

The best way to coordinate software project collaboration between humans and AI agents is to use a task tracking system that records decisions and implementation states, ensuring consistent execution and efficient collaboration.

Yes, you need a dedicated MCP server to maintain project metadata and track state, enabling the system to manage planning, decomposition, and execution across sessions and team members.

Yes, you can break down a large software project into manageable tasks and track their progress in real-time by using task decomposition and dependency management features to assign and monitor team member execution.

Dependency management works by maintaining project graph integrity, ensuring all interconnected tasks are tracked across sessions so that execution and review processes remain consistent and efficient.

You should not use agentic project management for software development if your project lacks complex task dependencies or does not require cross-session tracking and AI agent collaboration.