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@@ -76,7 +76,7 @@ That's it! You're ready for the lab!
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A codespace is a cloud-hosted development environment from GitHub, that comes pre-configured with all the tools you need to run this lab.
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Navigate to [this](https://github.com/codespaces/new/mongodb-developer/genai-devday-notebooks?quickstart=1) link. You will be prompted to sign into GitHub if you haven't already. Once signed in, click the **Create new codespace** button to create a new codespace.
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**To create a codespace, navigate to [this](https://github.com/codespaces/new/mongodb-developer/genai-devday-notebooks?quickstart=1) link.** You will be prompted to sign into GitHub if you haven't already. Once signed in, click the **Create new codespace** button to create a new codespace.
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<Screenshoturl="https://github.com/codespaces"src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/1-create-codespace.png"alt="Start a codespace" />
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@@ -90,11 +90,11 @@ To do this, click the leaf icon in the left navigation bar of the IDE. This is M
Under **Connections**, click the _mongodb:27017_ connection. This should automatically establish a connection to the local MongoDB cluster running on port 27017.
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Under **Connections**, click the _Local MongoDB Atlas_ connection. This should automatically establish a connection to the local MongoDB cluster running on port 27017.
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<Screenshoturl="https://github.com/codespaces"src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/3-connect-cluster.png"alt="Connect to the cluster" />
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If the connection was successful, you should see the message **Connected to: mongodb:27017** with a green indicator.
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If the connection was successful, you should see a green leaf and a "connected" message appear around the _Local MongoDB Atlas_ connection.
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You will also see the default databases in the cluster appear under **Connections**. Any additional databases we create during the lab will also appear here.
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@@ -108,16 +108,6 @@ Within the codespace, click on the files icon in the left navigation bar of the
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<Screenshoturl="https://github.com/codespaces"src="img/screenshots/20-dev-env/2-dev-env-setup/codespaces/5-nav-notebook.png"alt="Navigate to the notebook" />
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Next, select the Python interpreter by clicking **Select Kernel** at the top right of the IDE.
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