| name | tdd:hypershift |
| description | TDD workflow with HyperShift cluster - real-time debugging with full cluster access |
TDD-HyperShift Workflow
Test-driven development workflow using hypershift-full-test.sh phases for Rossoctl development.
Context-Safe Execution (MANDATORY)
Every command that produces more than ~5 lines of output MUST redirect to a file.
This prevents context window pollution that drives up session cost.
export LOG_DIR=$LOG_DIR/$WORKTREE
mkdir -p $LOG_DIR
Pattern: Build/Test Commands
.worktrees/$WORKTREE/.github/scripts/local-setup/hypershift-full-test.sh $CLUSTER --include-test
.worktrees/$WORKTREE/.github/scripts/local-setup/hypershift-full-test.sh $CLUSTER \
--include-test > $LOG_DIR/test-run.log 2>&1; echo "EXIT:$?"
Pattern: kubectl Commands
kubectl get pods -n rossoctl-system
kubectl logs -n team1 deployment/weather-service --tail=100
kubectl get pods -n rossoctl-system > $LOG_DIR/pods.log 2>&1 && echo "OK: pods listed" || echo "FAIL (see $LOG_DIR/pods.log)"
kubectl logs -n team1 deployment/weather-service --tail=100 > $LOG_DIR/weather-logs.log 2>&1 && echo "OK" || echo "FAIL"
Pattern: Build Commands
oc start-build weather-tool -n team1 --follow
oc start-build weather-tool -n team1 --follow > $LOG_DIR/build.log 2>&1; echo "EXIT:$?"
Log Analysis Rule
NEVER read large log files in the main context. Always use subagents:
- Note the log file path and exit code
- Use
Task(subagent_type='Explore') to read the log and extract relevant info
- The subagent returns a concise summary (errors, unexpected output, specific data)
- Use subagents for success analysis too — e.g., "verify $LOG_DIR/test-run.log contains trace export lines"
- Fix or proceed based on the summary
Why TDD-HyperShift?
Full cluster access enables real-time debugging that CI cannot provide:
| Advantage | How |
|---|
| Inspect pod state | k8s:pods, k8s:logs, k8s:health |
| Live debugging | k8s:live-debugging |
| Immediate feedback | Run tests, check logs, fix, repeat |
| Access secrets/configs | kubectl get secret/configmap |
Use tdd:ci when you don't have a cluster or for final CI validation.
Cluster Availability
Before starting, check for an existing HyperShift cluster:
ls ~/clusters/hcp/rossoctl-hypershift-custom-*/auth/kubeconfig 2>/dev/null
If no cluster exists, ask the user:
No HyperShift cluster found. Create one for debugging?
- Cluster creation takes ~15-20 minutes and requires approval
- Use
hypershift:cluster to create
- Alternatively, use
tdd:ci or tdd:kind which don't need a cluster
If approved, create with (requires user approval):
./.github/scripts/hypershift/create-cluster.sh <suffix>
Auto-approved: All operations on hosted clusters (read + write) are auto-approved.
Cluster create/destroy targets the management cluster and requires user approval.
flowchart TD
START(["/tdd:hypershift"]) --> CLUSTER{"Cluster available?"}
CLUSTER -->|Yes| SETENV["Set KUBECONFIG + env vars"]:::k8s
CLUSTER -->|No| ASK{"Create cluster?"}
ASK -->|Yes| CREATECLUSTER["hypershift:cluster create"]:::hypershift
ASK -->|No| FALLBACK([Use tdd:ci or tdd:kind])
CREATECLUSTER --> SETENV
SETENV --> CVEGATE["CVE Gate: cve:scan"]:::cve
CVEGATE -->|Clean| ITER{"Iteration level?"}
CVEGATE -->|CVE found| CVE_HOLD["cve:brainstorm"]:::cve
CVE_HOLD -->|Resolved| ITER
ITER -->|Level 0| L0["Quick patch (seconds)"]:::test
ITER -->|Level 1| L1["Test only"]:::test
ITER -->|Level 2| L2["Rebuild images"]:::test
ITER -->|Level 3| L3["Full reinstall (~25 min)"]:::test
ITER -->|Level 4| L4["Fresh cluster"]:::hypershift
L0 --> TEST["Run tests"]:::test
L1 --> TEST
L2 --> TEST
L3 --> TEST
L4 --> SETENV
TEST --> RESULT{"Tests pass?"}
RESULT -->|Yes| BRANCHCHECK{"Branch verified?"}
RESULT -->|No| DEBUG["Debug with k8s:pods, k8s:logs"]:::k8s
DEBUG --> FIX["Fix code"]:::tdd
FIX --> ITER
BRANCHCHECK -->|Yes| COMMIT["git:commit"]:::git
BRANCHCHECK -->|Wrong branch| WORKTREE["Create worktree"]:::git
WORKTREE --> COMMIT
COMMIT --> CI([Back to tdd:ci for CI validation])
classDef tdd fill:#4CAF50,stroke:#333,color:white
classDef rca fill:#FF5722,stroke:#333,color:white
classDef git fill:#FF9800,stroke:#333,color:white
classDef k8s fill:#00BCD4,stroke:#333,color:white
classDef hypershift fill:#3F51B5,stroke:#333,color:white
classDef ci fill:#2196F3,stroke:#333,color:white
classDef test fill:#9C27B0,stroke:#333,color:white
classDef cve fill:#D32F2F,stroke:#333,color:white
Follow this diagram as the workflow.
CVE Gate (Pre-Deploy)
MANDATORY before deploying to cluster. Container images may contain vulnerable dependencies.
Invoke cve:scan on the working tree before any deployment iteration:
- If
cve:scan returns clean → proceed to iteration selection
- If
cve:scan finds HIGH/CRITICAL CVEs → cve:brainstorm activates a CVE hold
- Silent fixes (dependency bumps) are allowed
- Deployment proceeds only after hold is resolved
- See
cve:brainstorm for resolution steps
This gate runs once per session, not on every iteration.
Key Pattern
Always run from main repo, pointing to worktree scripts:
export CLUSTER=mlflow WORKTREE=mlflow-ci MANAGED_BY_TAG=${MANAGED_BY_TAG:-rossoctl-hypershift-custom}
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig \
.worktrees/$WORKTREE/.github/scripts/local-setup/hypershift-full-test.sh $CLUSTER \
--include-test [--pytest-filter "filter"]
TDD Iterations (fastest first)
Prefer quick targeted changes over full reinstall. Full reinstall takes ~25 min. Targeted changes take ~30 seconds.
Iteration 0: Quick patch (seconds)
Patch a ConfigMap, restart a pod, or update a deployment directly:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl rollout restart deployment/otel-collector -n rossoctl-system
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl rollout restart deployment/mlflow -n rossoctl-system
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl delete pod -n team1 -l app.kubernetes.io/name=weather-service
Iteration 1: Test only (auto-approved)
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig \
.worktrees/$WORKTREE/.github/scripts/local-setup/hypershift-full-test.sh $CLUSTER \
--include-test --pytest-filter "test_agent or test_mlflow" \
> $LOG_DIR/test-iter1.log 2>&1; echo "EXIT:$?"
Iteration 2: Rebuild agent images (minutes)
Use OpenShift Builds or Shipwright to rebuild images from dependency repos directly on the cluster:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig \
oc start-build weather-tool -n team1 --follow \
> $LOG_DIR/build.log 2>&1; echo "EXIT:$?"
Or trigger a Shipwright BuildRun for the weather-service:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl create -f .worktrees/$WORKTREE/rossoctl/examples/agents/weather_agent_shipwright_buildrun.yaml
After rebuild, delete the pod to pick up the new image:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl delete pod -n team1 -l app.kubernetes.io/name=weather-service
Iteration 3: Full reinstall (last resort, ~25 min)
Only when chart values or CRDs change:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig \
.worktrees/$WORKTREE/.github/scripts/local-setup/hypershift-full-test.sh $CLUSTER \
--include-uninstall --include-install --include-agents --include-test \
> $LOG_DIR/full-reinstall.log 2>&1; echo "EXIT:$?"
Iteration 4: Fresh cluster (requires permission)
Only when the cluster itself is broken:
./.github/scripts/hypershift/create-cluster.sh $CLUSTER
Building Custom Images from Dependency Repos
When debugging issues in agent-examples or cortex, build custom images directly on the cluster using Shipwright/OpenShift Builds:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl apply -f .worktrees/$WORKTREE/rossoctl/examples/agents/weather_agent_shipwright_build_ocp.yaml
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl create -f .worktrees/$WORKTREE/rossoctl/examples/agents/weather_agent_shipwright_buildrun.yaml
Watch the build:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig \
kubectl get buildrun -n team1 -w > $LOG_DIR/buildrun.log 2>&1; echo "EXIT:$?"
After build succeeds, restart the deployment:
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig kubectl rollout restart deployment/weather-service -n team1
Observability Tests Need Fresh Traces
Important: Always run agent tests before observability tests to generate fresh traces:
--pytest-filter "test_agent or test_mlflow"
--pytest-filter "test_mlflow"
Development Loop
export CLUSTER=mlflow WORKTREE=mlflow-ci MANAGED_BY_TAG=${MANAGED_BY_TAG:-rossoctl-hypershift-custom}
vim .worktrees/$WORKTREE/rossoctl/tests/e2e/common/test_mlflow_traces.py
KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig \
.worktrees/$WORKTREE/.github/scripts/local-setup/hypershift-full-test.sh $CLUSTER \
--include-test --pytest-filter "test_agent or TestRootSpanAttributes"
Quick kubectl Commands
export CLUSTER=mlflow MANAGED_BY_TAG=${MANAGED_BY_TAG:-rossoctl-hypershift-custom}
export KUBECONFIG=~/clusters/hcp/$MANAGED_BY_TAG-$CLUSTER/auth/kubeconfig
kubectl get pods -n rossoctl-system > $LOG_DIR/pods-system.log 2>&1 && echo "OK" || echo "FAIL"
kubectl logs -n rossoctl-system -l app=mlflow --tail=50 > $LOG_DIR/mlflow.log 2>&1 && echo "OK" || echo "FAIL"
kubectl get pods -n team1 > $LOG_DIR/pods-team1.log 2>&1 && echo "OK" || echo "FAIL"
Iteration Tracking
Keep a log of test iterations in a TODO file for debugging:
## Iteration Log
| DateTime | Cluster | mlflow-ci Commit | agent-examples Commit | Pass | Fail | Skip | Notes |
|----------|---------|------------------|----------------------|------|------|------|-------|
| 2026-02-05 14:30:15 | mlfl1 | 8dbaee15 | 3524675 | 33 | 2 | 8 | Baseline |
| 2026-02-05 15:45:22 | mlfl1 | abc1234 | def5678 | 35 | 0 | 8 | Fixed X |
Create iteration tracker:
echo "| $(date '+%Y-%m-%d %H:%M:%S') | $CLUSTER | $(git -C .worktrees/$WORKTREE rev-parse --short HEAD) | $(git -C .worktrees/agent-examples rev-parse --short HEAD) | PASS | FAIL | SKIP | Notes |" >> .worktrees/$WORKTREE/TODO_ITERATION_LOG.md
When Done: Back to CI
Once the issue is fixed with real-time debugging, return to tdd:ci for final CI validation:
- Commit the fix
- Push to PR
- Use
tdd:ci to verify CI passes
UI Tests
For Playwright UI tests (login, navigation, agent chat), invoke test:ui.
Set ROSSOCTL_UI_URL to the OpenShift route and run against the live cluster.
Session Reporting
After the TDD workflow completes (CI green and PR approved/merged), invoke session:post to capture session metadata:
- The skill auto-detects the current session ID and PR number
- Posts a session report comment with token usage, skills used, and workflow diagram
- Updates the pinned summary comment
This is optional but recommended for tracking development effort.
Related Skills
test:ui - Write and run Playwright UI tests
tdd:ci - CI-driven TDD (escalates here after 3+ failures)
local:full-test - Complete testing reference
k8s:live-debugging - Debug issues on running cluster
k8s:pods - Debug pod issues
k8s:logs - Query component logs
hypershift:cluster - Create/destroy clusters
test:run-hypershift - Run tests on HyperShift
test:review - Review test quality
git:commit - Commit format
session:post - Post session analytics to PR
cve:scan - CVE scanning gate (pre-deploy)
cve:brainstorm - CVE disclosure planning (if CVEs found)