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Get Started Free →Set up local development workflow for CoreWeave GPU deployments. Use when building containers locally, testing YAML manifests, or iterating on model serving configurations before deploying. Trigger with phrases like "coreweave dev setup", "coreweave local testing", "develop for coreweave", "coreweave container build".
.claude/skills/jeremylongshore-coreweave-local-dev-loop/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -41% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -53% | 0% |
| case-20 | ✗→✓ | ▲ Improved | -33% | 0% |
| case-09 | ✓→✓ | = Same ✓ | -14% | 0% |
> Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.
Local development workflow for CoreWeave: build containers, test YAML manifests with dry-run, push to registry, and deploy to CoreWeave CKS.
coreweave-install-auth setupmy-inference-service/
├── Dockerfile
├── src/
│ ├── server.py # Inference server code
│ └── model_config.py # Model configuration
├── k8s/
│ ├── deployment.yaml # GPU deployment manifest
│ ├── service.yaml # Service and ingress
│ └── hpa.yaml # Horizontal pod autoscaler
├── scripts/
│ ├── build.sh # Build and push container
│ └── deploy.sh # Deploy to CoreWeave
├── .env.local
└── Makefilebash# Build locally docker build -t my-inference:latest . # Tag for registry docker tag my-inference:latest ghcr.io/myorg/my-inference:v1.0.0 # Push docker push ghcr.io/myorg/my-inference:v1.0.0
bash# Dry-run against CoreWeave cluster kubectl apply -f k8s/deployment.yaml --dry-run=server # Diff against current state kubectl diff -f k8s/deployment.yaml # Check resource requests match available GPU types kubectl get nodes -l gpu.nvidia.com/class=A100_PCIE_80GB --no-headers | wc -l
bashkubectl apply -f k8s/ kubectl rollout status deployment/my-inference kubectl logs -f deployment/my-inference
| Error | Cause | Solution | |-------|-------|----------| | Image pull backoff | Wrong registry or no pull secret | Create imagePullSecret | | CUDA mismatch | Driver vs container version | Match CUDA version to node drivers | | Dry-run fails | Invalid manifest | Fix YAML syntax |
See coreweave-sdk-patterns for inference client patterns.
Other measured skills in the registry, with their headline benchmark lift.