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ajosh0504
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Updating screenshot
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docs/20-dev-env/1-dev-env-setup.mdx

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@@ -9,7 +9,7 @@ import Screenshot from "@site/src/components/Screenshot";
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/1-dev-env-setup/1-resume-codespace.png" alt="Resume codespace" />
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Give the codespace a few seconds to restart. When files appear under the Explorer, click the file named `ai-agents-lab.ipynb`. This is the Jupyter Notebook you will be using throughout this lab.
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Give the codespace a few seconds to restart. When files appear in the Explorer tab, click on the file named `ai-agents-lab.ipynb` under `notebooks`. This is the Jupyter Notebook you will be using throughout this lab.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/1-dev-env-setup/2-nav-notebook.png" alt="Navigate to the notebook" />
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</details>
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/1-dev-env-setup/3-create-codespace.png" alt="Start a codespace" />
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Let it run for a few seconds as it prepares your environment. It will clone the repository, prepare the container, and run the installation scripts. Once the environment is built, you should see a list of files appear under the Explorer.
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Let it run for a few seconds as it prepares a Docker container with all the required libraries and a MongoDB cluster.
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In the left navigation bar of the IDE, click on the file named `ai-agents-lab.ipynb` to open the Jupyter Notebook for this lab.
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Once the environment is built, you should see a VS Code IDE with a list of files in the Explorer tab.
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In the Explorer menu, under `notebooks`, click on the file named `ai-agents-lab.ipynb` to open the Jupyter Notebook for this lab.
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<Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/1-dev-env-setup/2-nav-notebook.png" alt="Navigate to the notebook" />
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