AI Project Management
Part of the Vibe Coding: Multi-Agent Engineering course
So far you have learned to lead a team of AI agents: giving each one a focused role, handing work between them with enough context, and running a separate review before anything is trusted. That is how the work gets done well. This lesson is about a different job you also hold as the leader: running the project itself.
Your agents are good at doing a piece of work once you hand it to them. What they cannot do is decide, on their own, what the product needs next week, or notice that two half-finished features are more dangerous than one finished one. That decision is yours. Making it deliberately, and writing it down so the team stays aligned, is what we mean by project management. A team without it does not stop moving. ...
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Start this lessonAI Project ManagementWhat you'll learn
- The leader runs the project, not just the individual agents
- A sprint is a short fixed period with a committed set of work; sprint planning is choosing that set
- Task management breaks a plan into tracked tasks with one owner and a checkable done
- Documentation is a written record of decisions and how things work so the team stays aligned
- Priorities decide what matters most now and are revisited as things change
- Using a PM agent to draft a sprint plan, a task list, and priorities
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All lessons in this course
12 lessons- 1Thinking Like an Engineering Leader20 min
- 2Creating Specialized AI Agents20 min
- 3Giving Every Agent a Role20 min
- 4Managing AI Collaboration30 min
- 5AI Code Reviews30 min
- 6AI Project Management20 min
- 7AI DevOps30 min
- 8AI Security Teams30 min
- 9AI Operations30 min
- 10Building Your Own AI Workflow20 min
- 11Scaling AI Teams20 min
- 12Becoming an AI Engineering Leader45 min
