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Building AI Agents: Harness Engineering

Multi-Agent Systems

Orchestrators and workers, subagents and context isolation — when splitting the work helps, and when it hurts.

Level
Intermediate
Lessons
3
Total time
42 min
Simulations
3
Included in Building AI Agents: Harness Engineering · $9
Tools you'll use
  • Python
  • Claude
  • OpenAI
  • FastAPI
Skills
  • Orchestrator-worker
  • Subagents

What you will be able to do

  • Design an orchestrator-worker system
  • Weigh the coordination cost between agents

Before you start

A suggestion, never a lock — you can start here.

  • harness-engineering
Modules that help first

Syllabus

3 lessons · 42 min

Every lesson's title and summary is public. The lessons themselves open once you own the track.

Every lesson in Building AI Agents: Harness Engineering

  1. The Orchestrator-Worker Pattern

    16 min

    One agent splits the task; others work on the parts in parallel.

    Included with the track Simulation

  2. Subagents and Context Isolation

    14 min

    Giving each subagent a clean context and returning only its conclusion.

    Included with the track Simulation

  3. When Multi-Agent Hurts

    12 min

    Token cost, information lost between agents, and failures that are hard to trace.

    Included with the track Simulation
Lifetime access
$9
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