Nit

Author: ajosh0504

docs/20-dev-env/1-dev-env-setup.mdx

@@ -9,7 +9,7 @@ import Screenshot from "@site/src/components/Screenshot";
 
     <Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/1-dev-env-setup/1-resume-codespace.png" alt="Resume codespace" />
 
-    Give the codespace a few seconds to restart. When files appear under the Explorer, click on the file named `ai-rag-lab.ipynb` under `notebooks`. This is the Jupyter Notebook you will be using throughout this lab.
+    Give the codespace a few seconds to restart. When files appear in the Explorer tab, click on the file named `ai-rag-lab.ipynb` under `notebooks`. This is the Jupyter Notebook you will be using throughout this lab.
 
     <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" />
 </details>
@@ -26,11 +26,9 @@ Navigate to [this](https://github.com/codespaces/new/mongodb-developer/genai-dev
 
 <Screenshot url="https://github.com/codespaces" src="img/screenshots/20-dev-env/1-dev-env-setup/3-create-codespace.png" alt="Start a codespace" />
 
-Let it run for a few seconds as it prepares a Docker container with all the required libraries and a MongoDB cluster.
+Let it run for a few seconds as it prepares a Docker container with all the required libraries and a MongoDB cluster. Once the environment is built, you should see a VS Code IDE with a list of files in the Explorer tab. 
 
-Once the environment is built, you should see a VS Code IDE with a list of files under the Explorer tab. 
-
-In the left navigation bar of the IDE, under `notebooks`, click on the file named `ai-rag-lab.ipynb` to open the Jupyter Notebook for this lab.
+In the Explorer menu, under `notebooks`, click on the file named `ai-rag-lab.ipynb` to open the Jupyter Notebook for this lab.
 
 <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" />