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How to use Harness Engineering: what you can do with it

What is Harness Engineering? A Jupyter Notebook repository with the code examples for the O'Reilly book Harness Engineering, organized into chapter folders.

How do I use it? Open the README and find the Chapter 1 table under Running the Notebooks; then Click the Open In Colab badge for Prompt & Context Harness Progression; sign in to Google Colab if prompted and select a GPU runtime if the notebook asks for one. Full steps below.

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What do you want to do?

3 use cases

  • Run the harness progression notebook in Colab

    Open the Chapter 1 notebook in Colab and run it to see how prompts, context, and harnesses differ.

    View prompt
    Using the Nicolepcx/harness_engineering repo, open the Chapter 1 notebook ch01_prompt_context_harness_progression.ipynb in Colab, run it for <placeholder: your topic or task>, and return a short table comparing the prompt, context, and harness stages. Verify that every stage's output is shown before you write the table.

  • Map harness components onto your own agent system

    Use the Chapter 2 Harness Components notebook as a checklist for your agent's supporting layers.

    View prompt
    Using the Nicolepcx/harness_engineering repo, open ch02_harness_components.ipynb and list each harness component it demonstrates, with a one-line purpose. Compare that list to the agent in <placeholder: path or description of your agent> and return the components that are missing. Verify that each listed component appears in the notebook before you report it.

  • Plan state handoff between agent execution runs

    Run the Chapter 2 state notebook to see how agent state carries across execution boundaries.

    View prompt
    Using the Nicolepcx/harness_engineering repo, open ch02_state_across_execution_boundaries.ipynb in Colab, run it, and list the state saved at each execution boundary. Apply that list to <placeholder: description of your multi-step agent> and return a state plan with one row per boundary. Verify that each row cites a cell in the notebook.

Quick start with Harness Engineering

  1. Check you have what it needs: A web browser and a Google account to open notebooks in Google Colab; A GPU runtime in Colab, since the README notes some notebooks may need one; Basic familiarity with Python and Jupyter notebooks.
  2. Open Nicolepcx/harness_engineering on GitHub and read the README and license.
  3. Open the README and find the Chapter 1 table under Running the Notebooks.
  4. Click the Open In Colab badge for Prompt & Context Harness Progression.
  5. Sign in to Google Colab if prompted and select a GPU runtime if the notebook asks for one.
  6. Run the notebook cells from top to bottom and read the output of each stage.

These steps come from our top use case, Run the harness progression notebook in Colab, which also has a copy-paste agent prompt.

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About this repo

Requirements

  • A web browser and a Google account to open notebooks in Google Colab
  • A GPU runtime in Colab, since the README notes some notebooks may need one
  • Basic familiarity with Python and Jupyter notebooks

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Questions about Harness Engineering

What is Harness Engineering?

A Jupyter Notebook repository with the code examples for the O'Reilly book Harness Engineering, organized into chapter folders. It is an open-source project on GitHub: https://github.com/Nicolepcx/harness_engineering.

How do I use Harness Engineering?

Open the README and find the Chapter 1 table under Running the Notebooks; then Click the Open In Colab badge for Prompt & Context Harness Progression; sign in to Google Colab if prompted and select a GPU runtime if the notebook asks for one. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Harness Engineering for?

Developers and AI engineers who want to learn or prototype the harness layer around AI agent systems, using the book's notebooks.

What can I do with Harness Engineering?

3 use cases so far, for example: Run the harness progression notebook in Colab; Map harness components onto your own agent system; Plan state handoff between agent execution runs. Each has steps and a copy-paste agent prompt.

What do I need to run Harness Engineering?

A web browser and a Google account to open notebooks in Google Colab; A GPU runtime in Colab, since the README notes some notebooks may need one; Basic familiarity with Python and Jupyter notebooks.

What are alternatives to Harness Engineering?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Harness Engineering safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.