Improve formatting of Docker Desktop instructions

DEVELOPMENT.md

@@ -88,25 +88,41 @@ configuring Kubernetes resources.
 
 ## Kubernetes cluster
 
-Docker for Desktop using an edge version has been proven to work for both
-developing and running Pipelines. The recommended configuration is:
+The recommended configuration is:
 
 -   Kubernetes version 1.15 or later
 -   4 vCPU nodes (`n1-standard-4`)
 -   Node autoscaling, up to 3 nodes
 -   API scopes for cloud-platform
 
-To setup a cluster with Docker on Desktop:
+### To setup a cluster with Docker Desktop:
 
-To use minikube: `bash minikube start eval $(minikube docker-env)`
+Docker Desktop using an edge version has been proven to work for both developing
+and running Pipelines.
 
-To use the Kubernetes that comes with Docker for Desktop: 1. First go into the
-Docker For Desktop preferences. Under the resource tabs ensure that you have at
-least 4 CPUs, 8.0 GiB Memory, and 1.0 GiB Swap. 1. Under the Kubernetes tab,
-enable Kubernetes. 1. Click the Apply and Restart button to save the
-preferences. 1. Switch the proper `kubectl` config context: `bash kubectl config
-get-contexts # You should see docker-for-desktop in the previous command output
-kubectl config use-context docker-for-desktop` To setup a cluster with GKE:
+To use minikube:
+
+```bash
+minikube start eval $(minikube docker-env)`
+```
+
+To use the Kubernetes that comes with Docker Desktop: 
+
+1.  First go into the Docker Desktop preferences. Under the resource tabs ensure
+    that you have at least 4 CPUs, 8.0 GiB Memory, and 1.0 GiB Swap. 
+
+1.  Under the Kubernetes tab, enable Kubernetes.
+
+1.  Click the Apply and Restart button to save the preferences.
+
+1.  Switch the proper `kubectl` config context:
+
+    ```bash
+    kubectl config get-contexts # You should see docker-for-desktop in the previous command output
+    kubectl config use-context docker-for-desktop
+    ```
+
+### To setup a cluster with GKE:
 
 1.  [Install required tools and setup GCP project](https://knative.dev/v0.12-docs/install/knative-with-gke/)
     (You may find it useful to save the ID of the project in an environment