diff --git a/docs/docs/cloud/how-tos/studio/quick_start.md b/docs/docs/cloud/how-tos/studio/quick_start.md
index c3b903821..ba5b416f7 100644
--- a/docs/docs/cloud/how-tos/studio/quick_start.md
+++ b/docs/docs/cloud/how-tos/studio/quick_start.md
@@ -20,7 +20,7 @@ This will load the Studio UI connected to your live deployment, allowing you to
 To test your locally running application using LangGraph Studio, ensure your application is set up following [this guide](https://langchain-ai.github.io/langgraph/cloud/deployment/setup/).
 
 !!! info "LangSmith Tracing"
-For local development, if you do not wish to have data traced to LangSmith, set `LANGSMITH_TRACING=false` in your application's `.env` file. With tracing disabled, no data will leave your local server.
+    For local development, if you do not wish to have data traced to LangSmith, set `LANGSMITH_TRACING=false` in your application's `.env` file. With tracing disabled, no data will leave your local server.
 
 Next, install the [LangGraph CLI](../../../concepts/langgraph_cli.md):
 
@@ -35,7 +35,7 @@ langgraph dev
 ```
 
 !!! warning "Browser Compatibility"
-Safari blocks `localhost` connections to Studio. To work around this, run the above command with `--tunnel` to access Studio via a secure tunnel.
+    Safari blocks `localhost` connections to Studio. To work around this, run the above command with `--tunnel` to access Studio via a secure tunnel.
 
 This will start the LangGraph Server locally, running in-memory. The server will run in watch mode, listening for and automatically restarting on code changes. Read this [reference](https://langchain-ai.github.io/langgraph/cloud/reference/cli/#dev) to learn about all the options for starting the API server.