How to Make Google Kubernetes Engine LoadBalancer Service Receive External Traffic When Using Google Cloud Code ItelliJ?

I have a working GKE cluster serving content at port 80. How do I get the load balancer service to deliver the content on the external (regional reserved) static IP 111.222.333.123?

I see that kubectl get service shows that the external static IP is successfully registered. The external IP does respond to ping requests.

NAME            TYPE           CLUSTER-IP    EXTERNAL-IP   PORT(S)        AGE
kubernetes      ClusterIP      10.16.0.1     <none>        443/TCP        17h
myapp-cluster   NodePort       10.16.5.168   <none>        80:30849/TCP   84m
myapp-service   LoadBalancer   10.16.9.255   111.222.333.123   80:30879/TCP   6m20s

Additionally, the Google Cloud Platform console shows that the forwarding rule is established and correctly referencing the GKE target pool.

The deployment and service manifest I am using is shown below:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
  labels:
    app: myapp
spec:
  replicas: 2
  selector:
    matchLabels:
      app: myapp
      environment: sandbox
  template:
    metadata:
      labels:
        app: myapp
        environment: sandbox
    spec:
      containers:
        - name: myapp
          image: myapp
          imagePullPolicy: Always 
          ports:
            - containerPort: 8080
      restartPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
  name: myapp-service
spec:
  selector:
    app: myapp
    environment: sandbox
  ports:
    - port: 80
      targetPort: 8080
  type: LoadBalancer
  loadBalancerIP: "111.222.333.123" 

The associated skaffold configuration file for reference:

apiVersion: skaffold/v2beta18
kind: Config
metadata:
  name: myapp
build:
  artifacts:
  - image: myapp
    context: .
    docker: {}
deploy:
  kubectl:
    manifests:
    - gcloud_k8_staticip_deployment.yaml

What am I missing to allow traffic to reach the GKE cluster when running this configuration using Google Cloud Code?

Apologies if this has been asked before. Happy to take a pointer if I missed the right solution reviewing questions.

For all I know the quoted configuration in this question should actually work, as long as the image is pointing to an accessible location. I have confirmed this configuration to be working using a toy setup entirely without IDE, just using gcloud shell and everything worked well.

The problem originates from Google Cloud Code changing the kubectl context without any additional warning when a context switch is configured in the run configuration.