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Multi-Agent Pipeline Training

A structured training curriculum for building and operating multi-agent AI pipelines in Cursor. Learn concepts, practice hands-on, then design and architect.

The pipeline

A multi-agent pipeline is a sequence of specialized agents that pass work forward via JSON artifacts. Each agent has a clear role; artifacts create traceable handoffs.

graph LR
    Planner -->|delegates| Subplanner
    Subplanner -->|plan.json| Worker
    Worker -->|worker-result.json| Tester
    Tester -->|test-result.json| Reviewer
    Reviewer -->|review-result.json| Git
    Tester -->|FAIL| Debugger
    Debugger -->|debug-diagnosis.json| Worker
    Git -->|git-result.json| PR

When tests fail, the Debugger diagnoses the issue and the Worker retries. The Planner orchestrates the full flow.

Three tiers

Who is this for?

Teams adopting AI-assisted development with Cursor or Claude Code. This curriculum teaches you how to set up multi-agent pipelines, delegate work to specialized agents, and scale from learning to production.