proffesor-for-testing/agentic-qe/shift-right-testing

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Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.

Install

npx vskill@latest install proffesor-for-testing/agentic-qe/shift-right-testing

SKILL.md

Shift-Right Testing

<default_to_action> When testing in production or implementing progressive delivery:

  1. IMPLEMENT feature flags for progressive rollout (1% → 10% → 50% → 100%)
  2. DEPLOY with canary releases (compare metrics before full rollout)
  3. MONITOR with synthetic tests (proactive) + RUM (reactive)
  4. INJECT failures with chaos engineering (build resilience)
  5. ANALYZE production data to improve pre-production testing

Quick Shift-Right Techniques:

  • Feature flags → Control who sees what, instant rollback
  • Canary deployment → 5% traffic, compare error rates
  • Synthetic monitoring → Simulate users 24/7, catch issues before users
  • Chaos engineering → Netflix-style failure injection
  • RUM (Real User Monitoring) → Actual user experience data

Critical Success Factors:

  • Production is the ultimate test environment
  • Ship fast with safety nets, not slow with certainty
  • Use production data to improve shift-left testing

</default_to_action>

Quick Reference Card

When to Use
  • Progressive feature rollouts
  • Production reliability validation
  • Performance monitoring at scale
  • Learning from real user behavior
Shift-Right Techniques
TechniquePurposeWhen
Feature FlagsControlled rolloutEvery feature
CanaryCompare new vs oldEvery deployment
Synthetic MonitoringProactive detection24/7
RUMReal user metricsAlways on
Chaos EngineeringResilience validationRegularly
A/B TestingUser behavior validationFeature decisions
Progressive Rollout Pattern
1% → 10% → 25% → 50% → 100%
↓ ↓ ↓ ↓
Check Check Check Monitor
Key Metrics to Monitor
MetricSLO TargetAlert Threshold
Error rate< 0.1%> 1%
p95 latency< 200ms> 500ms
Availability99.9%< 99.5%
Apdex> 0.95< 0.8

Feature Flags

javascript
// Progressive rollout with LaunchDarkly/Unleash pattern
const newCheckout = featureFlags.isEnabled('new-checkout', {
userId: user.id,
percentage: 10, // 10% of users
allowlist: ['beta-testers']
});
if (newCheckout) {
return <NewCheckoutFlow />;
} else {
return <LegacyCheckoutFlow />;
}
// Instant rollback on issues
await featureFlags.disable('new-checkout');

Canary Deployment

yaml
# Flagger canary config
apiVersion: flagger.app/v1beta1
kind: Canary
spec:
targetRef:
apiVersion: apps/v1
kind: Deployment
name: checkout-service
progressDeadlineSeconds: 60
analysis:
interval: 1m
threshold: 5 # Max failed checks
maxWeight: 50 # Max traffic to canary
stepWeight: 10 # Increment per interval
metrics:
- name: request-success-rate
threshold: 99
- name: request-duration
threshold: 500

Synthetic Monitoring

javascript
// Continuous production validation
await Task("Synthetic Tests", {
endpoints: [
{ path: '/health', expected: 200, interval: '30s' },
{ path: '/api/products', expected: 200, interval: '1m' },
{ path: '/checkout', flow: 'full-purchase', interval: '5m' }
],
locations: ['us-east', 'eu-west', 'ap-south'],
alertOn: {
statusCode: '!= 200',
latency: '> 500ms',
contentMismatch: true
}
}, "qe-production-intelligence");

Chaos Engineering

typescript
// Controlled failure injection
await Task("Chaos Experiment", {
hypothesis: 'System handles database latency gracefully',
steadyState: {
metric: 'error_rate',
expected: '< 0.1%'
},
experiment: {
type: 'network-latency',
target: 'database',
delay: '500ms',
duration: '5m'
},
rollback: {
automatic: true,
trigger: 'error_rate > 5%'
}
}, "qe-chaos-engineer");

Production → Pre-Production Feedback Loop

typescript
// Convert production incidents to regression tests
await Task("Incident Replay", {
incident: {
id: 'INC-2024-001',
type: 'performance-degradation',
conditions: { concurrent_users: 500, cart_items: 10 }
},
generateTests: true,
addToRegression: true
}, "qe-production-intelligence");
// Output: New test added to prevent recurrence

Agent Coordination Hints

Memory Namespace
aqe/shift-right/
├── canary-results/* - Canary deployment metrics
├── synthetic-tests/* - Monitoring configurations
├── chaos-experiments/* - Experiment results
├── production-insights/* - Issues → test conversions
└── rum-analysis/* - Real user data patterns
Fleet Coordination
typescript
const shiftRightFleet = await FleetManager.coordinate({
strategy: 'shift-right-testing',
agents: [
'qe-production-intelligence', // RUM, incident replay
'qe-chaos-engineer', // Resilience testing
'qe-performance-tester', // Synthetic monitoring
'qe-quality-analyzer' // Metrics analysis
],
topology: 'mesh'
});

Related Skills


Remember

Production is the ultimate test environment. Feature flags enable instant rollback. Canary catches issues before 100% rollout. Synthetic monitoring detects problems before users. Chaos engineering builds resilience. RUM shows real user experience.

With Agents: Agents monitor production, replay incidents as tests, run chaos experiments, and convert production insights to pre-production tests. Use agents to maintain continuous production quality.

Security

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Source

Popularity

Repository stars
461
Repository forks
85
Repository npm downloads, 7 days
16,240
7-day trend score
53

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 23 Aug 2026, 2 months ago.

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