Add example dev workflow to CONTRIBUTING.md

CONTRIBUTING.md

@@ -5,7 +5,7 @@ Here are a few things to go over before getting started with CodeFlare Operator
 ## Environment setup
 
 The following should be installed in your working environment:
- - Go 1.20.x
+ - Go 1.21.x
    - [Download release](https://go.dev/dl/)
    - [Install Instructions](https://go.dev/doc/install)
  - [Operator SDK](https://sdk.operatorframework.io/docs/installation/)
@@ -53,3 +53,29 @@ To write and inspect unit tests:
  - Populate the [.vscode/launch.json](https://github.com/project-codeflare/codeflare-operator/tree/main/.vscode/launch.json) file with the location of your Kubernetes config file and desired namespace.
  - In VSCode on the activity bar click `Run and Debug` or `CTRL + SHIFT + D` to start a local debugging session of the CodeFlare Operator.
  The operator should be running as intended.
+
+
+## Example dev workflow
+
+I've made changes to `pkg/controllers/raycluster_controller.go` and `pkg/controllers/raycluster_controller.go`. I've
+written unit tests and would like to test my changes using the unit tests as well as on an OpenShift cluster which I
+have access to.
+
+1. Ensure the unit tests you've written are passing and you haven't introduced any regressions
+   1. run `make test-unit`
+1. build and push image
+   1. `make image-build -e IMG=<image-repo/image-name:image-tag>`
+   1. `make image-push -e IMG=<image-repo/image-name:image-tag>`
+1. Login to your OpenShift cluster via `oc login --token=... --server=...`
+1. deploy ODH/RHOAI if necessary
+   1. for the latest releases
+      1. run `make delete-all-in-one -e USE_RHOAI=<true|false>` **if** you would like to run on a fresh ODH/RHOAI deployment
+      1. run `make all-in-one -e USE_RHOAI=<true|false>` to deploy new instance of ODH/RHOAI
+   1. otherwise follow the dev guides found in
+    [ODH](https://github.com/opendatahub-io/opendatahub-operator?tab=readme-ov-file#deployment) and
+    [RHOAI](https://gitlab.cee.redhat.com/data-hub/olminstall) (Red Hat internal only)
+      1. run `make install-nfd-operator`, `make install-service-mesh-operator`, `make install-ai-platform-operator`, `make install-nvidia-operator` to ensure all dependent operators are also installed
+1. navigate to the DataScienceCluster resource and set `.spec.components.codeflare.managementState` to `Removed`
+1. run `make deploy -e IMG=<image-repo/image-name:image-tag>`
+
+Your dev image should now be deployed in the cluster