# AI use cases for Harness Engineering (Nicolepcx/harness_engineering) Repo: [Nicolepcx/harness_engineering](https://github.com/Nicolepcx/harness_engineering) | Use cases: 3 | Page: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/ A Jupyter Notebook repository with the code examples for the O'Reilly book Harness Engineering, organized into chapter folders. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Run the harness progression notebook in Colab: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/run-harness-progression-notebook/ - Map harness components onto your own agent system: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/map-harness-components-to-own-agent/ - Plan state handoff between agent execution runs: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/study-state-across-execution-boundaries/ ## How to run the harness progression notebook in Colab with Harness Engineering Repo: [Nicolepcx/harness_engineering](https://github.com/Nicolepcx/harness_engineering) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Open the Chapter 1 notebook in Colab and run it to see how prompts, context, and harnesses differ. **Who it is for:** A developer new to agent systems who wants a hands-on starting point before reading the book's first chapter. **The problem:** Terms like prompt, context, and harness are easy to blur together, and reading alone does not show how each layer changes agent behavior. **The outcome:** The reader runs the Chapter 1 notebook and sees the progression from prompt-only to context-supported to harness-supported setups in code. ### Steps 1. Open the README and find the Chapter 1 table under Running the Notebooks. 2. Click the Open In Colab badge for Prompt & Context Harness Progression. 3. Sign in to Google Colab if prompted and select a GPU runtime if the notebook asks for one. 4. Run the notebook cells from top to bottom and read the output of each stage. 5. Note which layer (prompt, context, or harness) changes each result. ### Prompt to paste into your agent ```text Using the Nicolepcx/harness_engineering repo, open the Chapter 1 notebook ch01_prompt_context_harness_progression.ipynb in Colab, run it for , 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. ``` ### Caveat The README only lists notebooks for Chapters 1 and 2 in the part shown, and it notes that some notebooks may need a GPU. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/run-harness-progression-notebook/ ## How to map harness components onto your own agent system with Harness Engineering Repo: [Nicolepcx/harness_engineering](https://github.com/Nicolepcx/harness_engineering) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Use the Chapter 2 Harness Components notebook as a checklist for your agent's supporting layers. **Who it is for:** An AI engineer building or reviewing an agent system who needs to decide which supporting parts the harness should include. **The problem:** Agent projects often grow ad hoc, so the surrounding code for tools, state, and control ends up scattered and hard to review. **The outcome:** The engineer produces a component map for their own agent, based on the components the Chapter 2 notebook demonstrates. ### Steps 1. Open the README and go to the Chapter 2 table under Running the Notebooks. 2. Click the Open In Colab badge for Harness Components. 3. Run the notebook and list each harness component it shows, with its purpose. 4. Check the utils folder for any helper classes or functions the notebook depends on. 5. Compare the list with your own agent and mark which components are missing. ### Prompt to paste into your agent ```text 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 and return the components that are missing. Verify that each listed component appears in the notebook before you report it. ``` ### Caveat The README does not describe what each component does, so the component list must come from reading the notebook itself. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/map-harness-components-to-own-agent/ ## How to plan state handoff between agent execution runs with Harness Engineering Repo: [Nicolepcx/harness_engineering](https://github.com/Nicolepcx/harness_engineering) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Run the Chapter 2 state notebook to see how agent state carries across execution boundaries. **Who it is for:** A developer designing a multi-step agent whose runs are split across sessions or processes and lose context between them. **The problem:** When an agent stops and restarts, important state can be lost, and the failure only shows up later in the workflow. **The outcome:** The developer documents the state the agent must keep between runs and the boundaries where that state is saved and restored. ### Steps 1. Open the README and find the Chapter 2 table under Running the Notebooks. 2. Click the Open In Colab badge for State Across Execution Boundaries. 3. Run the notebook cells in order and note what state is saved at each boundary. 4. Record which state is needed to resume the agent and where it lives in the notebook code. 5. Write a short state plan for your own agent that lists each boundary and its required state. ### Prompt to paste into your agent ```text 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 and return a state plan with one row per boundary. Verify that each row cites a cell in the notebook. ``` ### Caveat The README gives no detail on what state the notebook saves, so the state plan has to be built from the notebook's own code and output. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/nicolepcx-harness-engineering/study-state-across-execution-boundaries/