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Harness Engineering

Context, permissions, sandboxing, errors and tracing — everything that makes an agent trustworthy outside a demo.

Level
Intermediate
Lessons
4
Total time
1h 2m
Simulations
5
Included in Building AI Agents: Harness Engineering · $9
Tools you'll use
  • Python
  • Claude
  • OpenAI
  • FastAPI
Skills
  • Context management
  • Sandboxing
  • Tracing
Try it now — free

This is the real simulation from the module. No account needed.

What you will be able to do

  • Keep a long-running agent inside its context window
  • Constrain what an agent is allowed to do

Before you start

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

  • agent-fundamentals
Modules that help first

Syllabus

4 lessons · 1h 2m

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. Context Management in Agent Loops

    18 min

    Trimming, summarising and offloading when the task runs long — without losing the facts the next step needs.

    Included with the track Simulation
  2. Permissions and Sandboxing

    16 min

    Allowlists, human approval and isolated environments for risky tools — enforced by the harness, not by the model's good behaviour.

    Included with the track Simulation
  3. Error Handling and Recovery

    14 min

    Error messages that help the model correct itself, retries that do not make things worse, and when to give up.

    Included with the track Simulation
  4. Observability and Tracing

    14 min

    Logging every step, token and cost so failures can be traced — and so you know what a normal run looks like.

    Included with the track Simulation
Lifetime access
$9
Buy the track
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Task-level evals, trajectory analysis, and reliability and cost metrics.

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