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17

Multi-Agent Workflows

> orchestrate_ai_teams()

Master multi-agent patterns that actually work. Learn parallel supervision for independent tasks, critic loops for quality control, and the anti-patterns that turn multi-agent into multi-disaster.

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Expansion Guides

// from single-agent to coordinated teams

01

Parallel Agent Supervision Patterns

Coordinate independent agents without chaos

One agent writes code, another writes tests, a third reviews docs. They work in parallel and a supervisor merges results. Learn when this pattern accelerates work vs. when it creates merge hell.

Parallel Execution Supervisor Pattern Result Merging Conflict Resolution
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02

The Critic Agent: Self-Review Loops

Automatic quality control through agent critique

A generator agent writes code, a critic agent reviews it. They iterate until quality threshold is met. Learn to prevent infinite loops, set exit conditions, and know when critique helps vs. hurts.

Generator-Critic Loop Quality Thresholds Exit Conditions Iteration Limits
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03

When Multi-Agent Adds Chaos: Anti-Patterns

Seven ways multi-agent makes things worse

More agents doesn't mean better results. Learn the seven anti-patterns: Agent Ping-Pong, Context Explosion, Merge Hell, Infinite Loops, Cost Spiral, Latency Cascade, and The God Supervisor. Avoid them.

Anti-Patterns Failure Modes When to Avoid Single-Agent Fallback
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