50+ Senior React Architect Interview Questions & Scenarios (2026)

// Architecture Decision Records (ADR) Framework
interface MigrationStrategy {
  approach: 'StranglerFig' | 'BigBang' | 'ParallelRun';
  riskAssessment: RiskMatrix;
  businessContinuity: ContingencyPlan[];
  successMetrics: {
    performanceDelta: '< 5% degradation',
    revenueImpact: 'Zero tolerance',
    teamVelocity: 'Gradual ramp-up'
  };
}

const strategy: MigrationStrategy = {
  approach: 'StranglerFig', // Incremental migration
  riskAssessment: {
    technicalDebt: 'High',
    teamCapability: 'Needs upskilling',
    timelineFlexibility: 'Limited'
  },
  businessContinuity: [
    'Feature flags for gradual rollout',
    'A/B testing framework for comparison',
    'Rollback automation (5-minute SLA)'
  ]
};

┌─────────────────────────────────────────────────────────────┐
│                    Unified Routing Layer                     │
│          (Routes to Angular or React based on feature)      │
└───────────────────────────┬─────────────────────────────────┘
                            │
                    ┌───────┴───────┐
                    ▼               ▼
            ┌─────────────┐   ┌─────────────┐
            │  Angular    │   │   React     │
            │  Container  │   │  Container  │
            └──────┬──────┘   └──────┬──────┘
                   │                 │
            ┌──────┴──────┐   ┌──────┴──────┐
            │  Shared     │   │  Shared     │
            │  Services   │   │  State      │
            │  (gRPC)     │   │  (Redux)    │
            └─────────────┘   └─────────────┘

const businessMetrics = {
  roiTimeline: '18 months',
  costSavings: {
    development: '40% faster feature delivery',
    maintenance: '60% reduced bug rate',
    hosting: '30% cost reduction via SSR optimization'
  },
  riskControls: {
    rollbackCapability: '5 minutes to any version',
    performanceSLA: '99.99% uptime maintained',
    teamTransition: 'Zero critical knowledge loss'
  }
};

┌─────────────────────────────────────────────────────────────┐
│                     Patient Portal (React)                   │
│             (Real-time WebSocket, WebRTC for imaging)       │
└───────────────────────────┬─────────────────────────────────┘
                            │ HTTPS/WebSocket (TLS 1.3)
        ┌───────────────────┼───────────────────┐
        ▼                   ▼                   ▼
┌──────────────┐    ┌──────────────┐    ┌──────────────┐
│  API Gateway │    │  Auth Proxy  │    │   Audit      │
│  (Kong)      │    │  (OIDC/HIPAA)│    │  Service     │
└──────┬───────┘    └──────┬───────┘    └──────┬───────┘
       │                   │                   │
┌──────┴───────────────────┴──────┐    ┌──────┴───────┐
▼                                 ▼    ▼              ▼
┌──────────────────────┐   ┌──────────────┐   ┌──────────────┐
│   AI Orchestrator    │   │   Medical    │   │   Model      │
│  (Route to optimal   │   │   Data Lake  │   │   Registry   │
│   model based on     │   │   (PHI)      │   │   (Versioned)│
│   confidence scores) │   └──────────────┘   └──────────────┘
└──────────┬───────────┘
           │ gRPC/Protocol Buffers
   ┌───────┴─────────────────────────────────┐
   ▼                   ▼                     ▼
┌──────────────┐ ┌──────────────┐ ┌────────────────────┐
│ Computer     │ │ Pathology    │ │ Radiology          │
│ Vision       │ │ NLP Model    │ │ Analysis Model     │
│ Model        │ │ (GPU Cluster)│ │ (FPGA Accelerated) │
│ (TensorRT)   │ └──────────────┘ └────────────────────┘
└──────────────┘

// React Architecture for AI Integration
const AIDiagnosticPlatform = {
  corePrinciples: [
    'Real-time collaboration between AI and doctors',
    'Explainable AI with visual overlays',
    'Audit trail for regulatory compliance',
    'Offline capability for rural areas'
  ],
  
  technicalStack: {
    uiFramework: 'React 19 with Concurrent Features',
    stateManagement: 'Zustand + React Query for server state',
    realTime: 'Socket.io with fallback to SSE',
    mediaProcessing: 'WebAssembly for client-side image preprocessing',
    visualization: 'D3.js + Three.js for 3D medical imaging'
  },
  
  aiIntegrationPattern: {
    modelSelection: 'Dynamic based on confidence thresholds',
    resultAggregation: 'Ensemble voting with doctor override',
    explainability: 'SHAP values visualization in React components',
    feedbackLoop: 'Continuous model improvement from doctor corrections'
  },
  
  complianceMeasures: {
    dataAnonymization: 'Client-side PHI stripping before AI processing',
    auditTrail: 'Immutable ledger of all AI interactions',
    consentManagement: 'Granular patient consent per model type',
    dataRetention: 'Automated deletion policies'
  }
};

// AI Model Orchestration Hook
function useAIDiagnostic(image: File, symptoms: string[]) {
  const [diagnosis, setDiagnosis] = useState<Diagnosis | null>(null);
  const [confidence, setConfidence] = useState<number>(0);
  const [explanation, setExplanation] = useState<Explanation | null>(null);
  
  const analyze = useCallback(async () => {
    // 1. Preprocess on client for privacy
    const anonymized = await anonymizeMedicalImage(image);
    
    // 2. Parallel model inference
    const [cvResult, nlpResult] = await Promise.all([
      computerVisionModel.predict(anonymized),
      nlpModel.analyze(symptoms)
    ]);
    
    // 3. Ensemble aggregation
    const ensemble = createEnsemble([cvResult, nlpResult]);
    
    if (ensemble.confidence > 0.85) {
      // Auto-accept high confidence
      setDiagnosis(ensemble.diagnosis);
    } else {
      // Flag for doctor review
      setDiagnosis({
        ...ensemble.diagnosis,
        requiresHumanReview: true,
        confidence: ensemble.confidence
      });
    }
    
    // 4. Generate explainability data
    const shapValues = await explainabilityService.explain(
      ensemble.diagnosis,
      anonymized,
      symptoms
    );
    
    setExplanation(shapValues);
    
    // 5. Audit trail
    await auditService.logAnalysis({
      timestamp: Date.now(),
      imageHash: hashImage(anonymized),
      modelsUsed: ['cv', 'nlp'],
      results: ensemble,
      doctorOverride: null
    });
  }, [image, symptoms]);
  
  return { diagnosis, confidence, explanation, analyze };
}

const CollaborativeDesignArchitecture = {
  challenges: [
    'Real-time synchronization at 60fps',
    'Conflict resolution for simultaneous edits',
    'Offline editing with eventual consistency',
    'Version history with branching',
    'Asset management at scale'
  ],
  
  // CRDT-based data model for conflict-free replication
  dataModel: {
    type: 'CRDT (Conflict-Free Replicated Data Tree)',
    structure: {
      canvas: 'Y.js shared type',
      layers: 'Automerge documents',
      selections: 'Vector clocks for partial ordering',
      comments: 'Logoot sequence CRDT'
    },
    syncStrategy: 'Differential synchronization with operational transforms'
  },
  
  // Real-time communication layer
  realtimeLayer: {
    primary: 'WebSocket clusters with Redis Pub/Sub',
    fallback: 'Server-Sent Events with long polling',
    optimization: 'Delta compression + binary protocols',
    regionalRouting: 'Global anycast with edge computing'
  },
  
  // React frontend architecture
  frontendArchitecture: {
    stateManagement: {
      local: 'Zustand for UI state',
      collaborative: 'Y.js for shared state',
      server: 'React Query with optimistic updates'
    },
    renderingOptimization: {
      canvas: 'WebGL with React Three Fiber',
      domElements: 'Virtualized rendering with react-window',
      assetLoading: 'Progressive loading with blurhash placeholders'
    },
    offlineSupport: {
      strategy: 'Service Worker + IndexedDB',
      syncEngine: 'Background sync with retry queues',
      conflictResolution: 'Last-write-wins with manual merge option'
    }
  }
};

// Operational Transform Engine
class OperationalTransformEngine {
  private operations: Operation[] = [];
  private revision: number = 0;
  
  applyLocalOperation(op: Operation): TransformResult {
    // Transform against pending operations
    const transformed = this.transformOperation(op, this.operations);
    
    // Apply locally
    this.applyOperation(transformed);
    this.operations.push(transformed);
    
    // Send to server
    this.sendToServer(transformed);
    
    return { operation: transformed, revision: this.revision };
  }
  
  applyRemoteOperation(op: Operation, serverRevision: number): void {
    // Rebase if we're behind
    if (serverRevision > this.revision) {
      const missedOps = await this.fetchMissingOperations(
        this.revision,
        serverRevision
      );
      
      // Transform local operations against missed ones
      this.operations = this.operations.map(localOp =>
        this.transformOperation(localOp, missedOps)
      );
    }
    
    // Transform incoming operation against local pending
    const transformed = this.transformOperation(op, this.operations);
    
    // Apply to local state
    this.applyOperation(transformed);
    this.revision = serverRevision;
  }
  
  private transformOperation(
    operation: Operation,
    against: Operation[]
  ): Operation {
    // Implement transformation rules based on OT/CRDT algorithm
    return against.reduce((op, concurrentOp) => {
      return this.transformPair(op, concurrentOp);
    }, operation);
  }
}

// Canvas Rendering Optimization
const OptimizedCanvasRenderer = () => {
  const canvasRef = useRef<HTMLCanvasElement>(null);
  const renderQueue = useRef<RenderOperation[]>([]);
  const lastFrameTime = useRef<number>(0);
  
  // Use Web Workers for expensive operations
  const worker = useMemo(() => new Worker('./canvas.worker.js'), []);
  
  // Throttle rendering to 60fps
  const renderLoop = useCallback(() => {
    const now = performance.now();
    const delta = now - lastFrameTime.current;
    
    if (delta > 16) { // ~60fps
      if (renderQueue.current.length > 0) {
        // Batch render operations
        const batch = renderQueue.current.splice(0, 50);
        
        // Offload to Web Worker if complex
        if (batch.some(op => op.complexity > 100)) {
          worker.postMessage({ type: 'RENDER_BATCH', batch });
        } else {
          // Render on main thread
          renderBatch(batch);
        }
        
        lastFrameTime.current = now;
      }
    }
    
    requestAnimationFrame(renderLoop);
  }, [worker]);
  
  // Differential updates
  const applyDeltaUpdate = useCallback((delta: CanvasDelta) => {
    // Only re-render changed regions
    const damagedRegions = calculateDamageRegions(delta);
    
    damagedRegions.forEach(region => {
      // Cull objects outside viewport
      const visibleObjects = spatialIndex.query(region);
      
      // Sort by z-index and material
      const sorted = sortForRendering(visibleObjects);
      
      renderQueue.current.push({
        type: 'REGION_UPDATE',
        region,
        objects: sorted
      });
    });
  }, []);
  
  return <canvas ref={canvasRef} />;
};

┌─────────────────────────────────────────────────────────────┐
│                     Global Edge Network                     │
│            (Cloudflare Workers + Fastly Compute)            │
└───────────────────────────┬─────────────────────────────────┘
                            │
        ┌───────────────────┼───────────────────┐
        ▼                   ▼                   ▼
┌──────────────┐    ┌──────────────┐    ┌──────────────┐
│ Personalization│  │ Dynamic      │    │  Real-time   │
│  Engine       │  │  Pricing      │    │  Inventory   │
│  (Edge AI)    │  │  Engine       │    │  Service     │
└──────┬───────┘    └──────┬───────┘    └──────┬───────┘
       │                   │                   │
┌──────┴───────────────────┴──────┐    ┌──────┴───────┐
▼                                 ▼    ▼              ▼
┌──────────────────────┐   ┌──────────────┐   ┌──────────────┐
│   React SPA          │   │   Checkout   │   │   Product    │
│   (Edge Rendered)    │   │   Service    │   │   Service    │
│                      │   │   (Regional) │   │   (Global)   │
└──────────────────────┘   └──────────────┘   └──────────────┘

// Edge Computing Pricing Service
class EdgePricingService {
  private cache: Map<string, CachedPrice> = new Map();
  private predictors: Predictor[] = [];
  
  async getPrice(productId: string, userId?: string): Promise<Price> {
    const cacheKey = `${productId}:${userId || 'anonymous'}`;
    
    // Check edge cache first (5ms latency)
    const cached = this.cache.get(cacheKey);
    if (cached && Date.now() - cached.timestamp < 1000) {
      return cached.price;
    }
    
    // Parallel computation at edge
    const [basePrice, demandMultiplier, personalization] = await Promise.all([
      this.getBasePrice(productId),
      this.calculateDemandMultiplier(productId),
      userId ? this.getPersonalizationMultiplier(userId, productId) : 1.0
    ]);
    
    // Real-time factors
    const realTimeFactors = await this.computeRealTimeFactors();
    
    // Calculate final price
    const finalPrice = this.calculatePrice({
      basePrice,
      demandMultiplier,
      personalization,
      realTimeFactors,
      competitorPrices: await this.fetchCompetitorPrices(productId),
      inventoryLevel: await this.getInventoryLevel(productId)
    });
    
    // Cache at edge with TTL based on volatility
    const ttl = this.calculateTTL(productId);
    this.cache.set(cacheKey, {
      price: finalPrice,
      timestamp: Date.now(),
      ttl
    });
    
    return finalPrice;
  }
  
  private calculatePrice(factors: PricingFactors): Price {
    // Machine learning model inference at edge
    const model = this.loadPricingModel();
    
    // Convert to tensor for ML model
    const input = this.prepareInputTensor(factors);
    
    // Run inference (WebAssembly accelerated)
    const output = model.predict(input);
    
    return {
      amount: output.amount,
      currency: 'USD',
      breakdown: {
        base: factors.basePrice,
        demandSurcharge: output.demandSurcharge,
        personalizationDiscount: output.personalizationDiscount,
        timeBasedAdjustment: output.timeAdjustment
      },
      expiresIn: output.priceValidity // Seconds until price changes
    };
  }
}

// React Hook for Real-time Price Updates
function useDynamicPrice(productId: string) {
  const [price, setPrice] = useState<Price | null>(null);
  const [nextUpdate, setNextUpdate] = useState<number | null>(null);
  
  // WebSocket connection for price updates
  const ws = useRef<WebSocket | null>(null);
  
  useEffect(() => {
    // Connect to pricing WebSocket
    ws.current = new WebSocket(
      `wss://pricing-edge.example.com/ws?product=${productId}`
    );
    
    ws.current.onmessage = (event) => {
      const update = JSON.parse(event.data);
      
      if (update.type === 'PRICE_UPDATE') {
        setPrice(update.price);
        setNextUpdate(update.nextUpdateIn);
        
        // Pre-fetch next price change
        if (update.nextUpdateIn < 30000) { // Less than 30 seconds
          setTimeout(() => {
            ws.current?.send(JSON.stringify({
              type: 'PRE_FETCH',
              productId
            }));
          }, update.nextUpdateIn - 5000); // 5 seconds before change
        }
      }
    };
    
    return () => {
      ws.current?.close();
    };
  }, [productId]);
  
  // Fallback to polling if WebSocket fails
  const pollPrice = useCallback(async () => {
    const response = await fetch(
      `/api/price/${productId}`,
      { headers: { 'X-Edge-Compute': 'true' } }
    );
    const data = await response.json();
    setPrice(data.price);
    setNextUpdate(data.nextUpdateIn);
  }, [productId]);
  
  return { price, nextUpdate, refresh: pollPrice };
}

// Optimistic UI for Price Changes
function ProductPrice({ productId }: { productId: string }) {
  const { price, nextUpdate } = useDynamicPrice(productId);
  const [localPrice, setLocalPrice] = useState<Price | null>(null);
  
  // Smooth price transitions
  useEffect(() => {
    if (price) {
      // Animate price change
      animatePriceChange(localPrice, price, (current) => {
        setLocalPrice(current);
      });
    }
  }, [price]);
  
  // Countdown to next price change
  const { minutes, seconds } = useCountdown(nextUpdate);
  
  return (
    <div className="price-display">
      <div className="price-amount">
        ${localPrice?.amount.toFixed(2)}
      </div>
      {nextUpdate && nextUpdate < 60000 && ( // Less than 1 minute
        <div className="price-countdown">
          Price changes in {minutes}:{seconds.toString().padStart(2, '0')}
        </div>
      )}
      <PriceBreakdown breakdown={localPrice?.breakdown} />
    </div>
  );
}

const PerformanceTriagePlan = {
  immediateActions: [
    'Rollback to previous version if regression is severe',
    'Enable performance monitoring at maximum granularity',
    'Establish baseline metrics from before regression',
    'Set up A/B testing to isolate variables'
  ],
  
  diagnosticToolchain: {
    realUserMonitoring: 'FullStory + Sentry',
    syntheticMonitoring: 'WebPageTest + Lighthouse CI',
    customMetrics: [
      'First Contentful Paint (FCP)',
      'Largest Contentful Paint (LCP)',
      'Cumulative Layout Shift (CLS)',
      'Time to Interactive (TTI)',
      'React component render times'
    ]
  },
  
  // Automated regression detection
  automatedDetection: `
    // Web Vital monitoring with thresholds
    const thresholds = {
      LCP: 2500,  // 2.5 seconds
      FID: 100,   // 100 milliseconds
      CLS: 0.1    // 0.1 maximum
    };
    
    // Real-time alerting
    if (currentMetrics.LCP > thresholds.LCP * 1.5) {
      triggerEmergencyAlert({
        severity: 'CRITICAL',
        affectedUsers: calculateAffectedPercentage(),
        estimatedRevenueImpact: calculateRevenueLoss()
      });
    }
  `
};

// Performance Profiling Framework
class PerformanceInvestigator {
  async investigateRegression(): Promise<RootCause> {
    // 1. Compare bundle analysis
    const bundleDiff = await this.compareBundles('v1.2', 'v1.3');
    
    // 2. Analyze React render performance
    const renderTimeline = await this.captureReactProfile();
    
    // 3. Network waterfall analysis
    const networkAnalysis = await this.analyzeNetworkRequests();
    
    // 4. Memory leak detection
    const memoryAnalysis = await this.checkForMemoryLeaks();
    
    // 5. Third-party impact assessment
    const thirdPartyImpact = await this.measureThirdPartyImpact();
    
    // Correlate findings
    const correlation = this.correlateFindings([
      bundleDiff,
      renderTimeline,
      networkAnalysis,
      memoryAnalysis,
      thirdPartyImpact
    ]);
    
    return this.identifyRootCause(correlation);
  }
  
  private async compareBundles(previous: string, current: string) {
    return {
      sizeIncrease: await this.calculateSizeDiff(previous, current),
      newDependencies: await this.identifyNewDependencies(previous, current),
      duplicateCode: await this.findDuplicateModules(current),
      unusedCode: await this.analyzeDeadCode(current)
    };
  }
  
  private async captureReactProfile() {
    // Use React DevTools Profiler API
    const profilerData = await ReactProfiler.capture({
      recordingDuration: 30000, // 30 seconds
      includeComponentTimings: true,
      includeRenderCounts: true
    });
    
    return this.analyzeProfilerData(profilerData);
  }
}

// Emergency Optimization Playbook
const OptimizationPlaybook = {
  commonCulprits: {
    bundleSize: [
      'Dynamic imports for above-the-fold components',
      'Remove unused dependencies with depcheck',
      'Code splitting by routes and features',
      'Tree-shaking verification'
    ],
    renderPerformance: [
      'Memoization audit with why-did-you-render',
      'Virtualize long lists with react-window',
      'Debounce rapid state updates',
      'Optimize context providers with selective updates'
    ],
    network: [
      'Implement HTTP/3 with QUIC',
      'Enable Brotli compression',
      'Cache strategies for static assets',
      'Prefetch critical resources'
    ],
    thirdParty: [
      'Lazy load non-critical third parties',
      'Use facade pattern for analytics',
      'Consolidate tag management',
      'Set performance budgets for third parties'
    ]
  },
  
  // React-specific optimizations
  reactOptimizations: {
    componentLevel: `
      // Audit all components with React.memo
      const shouldMemoize = (component) => {
        return component.renders > 1000 || 
               component.propsChangeFrequency > 0.3;
      };
      
      // Implement concurrent features
      const useConcurrentUpdates = () => {
        const [isPending, startTransition] = useTransition();
        // Wrap non-urgent updates in startTransition
      };
    `,
    
    stateManagement: `
      // Optimize context usage
      const createOptimizedContext = () => {
        // Split contexts by update frequency
        // Use selectors for derived state
        // Implement context batching
      };
    `,
    
    rendering: `
      // Use Suspense for data fetching
      // Implement error boundaries for graceful degradation
      // Use useDeferredValue for expensive renders
    `
  }
};

// Performance Guardrails
const PerformanceGuardrails = {
  preCommitHooks: [
    'Bundle size limit (max 250KB initial load)',
    'Lighthouse score minimum (90+ on CI)',
    'Core Web Vitals thresholds',
    'Dependency audit for performance impact'
  ],
  
  monitoring: {
    realUserMonitoring: 'Continuously monitor 95th percentile',
    syntheticMonitoring: 'Automated tests across device types',
    businessImpact: 'Correlate performance with conversion rates'
  },
  
  culture: {
    performanceReviews: 'Include performance in code reviews',
    education: 'Regular performance workshops',
    tooling: 'Provide self-service performance analysis tools'
  }
};

const EngineeringExcellenceFramework = {
  pillar1: {
    name: 'Standardization & Consistency',
    initiatives: [
      'Architecture Decision Records (ADR) process',
      'Shared component library with design system',
      'Unified development environment (Dev Containers)',
      'Consistent code formatting and linting (ESLint + Prettier)'
    ],
    
    implementation: `
      // Centralized configuration
      const sharedConfig = {
        react: { version: '19.0.0', strictMode: true },
        testing: { library: 'vitest', coverage: 80 },
        performance: { budgets: { js: '200KB', css: '50KB' } }
      };
      
      // Architecture Review Board
      const reviewBoard = {
        composition: 'Rotating senior engineers',
        responsibilities: [
          'Review ADRs',
          'Enforce architectural principles',
          'Resolve technical disputes'
        ],
        meetingFrequency: 'Bi-weekly'
      };
    `
  },
  
  pillar2: {
    name: 'Quality Assurance',
    initiatives: [
      'Test pyramid strategy (70% unit, 20% integration, 10% E2E)',
      'Automated visual regression testing',
      'Performance regression testing in CI/CD',
      'Accessibility as first-class citizen'
    ],
    
    implementation: `
      // Quality Gates in CI/CD
      const qualityGates = {
        commit: [
          'TypeScript compilation',
          'ESLint + Prettier',
          'Unit tests (must pass)'
        ],
        pr: [
          'Integration tests',
          'Bundle size analysis',
          'Lighthouse audit',
          'Accessibility scan'
        ],
        deploy: [
          'E2E smoke tests',
          'Performance budget validation',
          'Security vulnerability scan'
        ]
      };
    `
  },
  
  pillar3: {
    name: 'Developer Experience',
    initiatives: [
      'Local development environment optimized for speed',
      'Comprehensive documentation with interactive examples',
      'Internal tooling for common tasks',
      'Mentorship and pairing program'
    ],
    
    implementation: `
      // Developer Portal
      const developerPortal = {
        components: 'Interactive component catalog',
        apis: 'API playground with mock data',
        tutorials: 'Step-by-step guides for common patterns',
        tools: [
          'Component generator',
          'Performance profiler',
          'Bundle analyzer',
          'Migration assistant'
        ]
      };
      
      // Inner Source Culture
      const innerSource = {
        contributionModel: 'All engineers can contribute to shared libraries',
        recognition: 'Public acknowledgment of contributions',
        governance: 'Lightweight maintainer model'
      };
    `
  },
  
  pillar4: {
    name: 'Continuous Learning',
    initiatives: [
      'Weekly tech talks and brown bags',
      'Regular hackathons for innovation',
      'Conference attendance and sharing',
      'Career growth framework for React specialization'
    ],
    
    implementation: `
      // React Competency Matrix
      const competencyMatrix = {
        levels: ['Junior', 'Mid', 'Senior', 'Staff', 'Principal'],
        dimensions: [
          'React Fundamentals',
          'Performance Optimization',
          'Architecture Design',
          'System Thinking',
          'Leadership & Mentoring'
        ],
        assessment: 'Bi-annual review with growth plan'
      };
      
      // Learning Paths
      const learningPaths = {
        performance: ['React Profiler', 'Bundle Optimization', 'Rendering Patterns'],
        architecture: ['Micro-frontends', 'State Management', 'Design Systems'],
        leadership: ['Technical Decision Making', 'Stakeholder Management', 'Team Scaling']
      };
    `
  }
};

const TechnicalDebtStrategy = {
  assessment: {
    inventory: `
      // Categorize technical debt
      const debtInventory = {
        highImpactHighUrgency: [
          'Security vulnerabilities',
          'Performance-critical issues',
          'Bugs affecting revenue'
        ],
        highImpactLowUrgency: [
          'Architecture improvements',
          'Test coverage gaps',
          'Documentation debt'
        ],
        lowImpactHighUrgency: [
          'Build process improvements',
          'Developer experience issues',
          'Minor bug fixes'
        ],
        lowImpactLowUrgency: [
          'Code style inconsistencies',
          'Minor refactoring opportunities',
          'Deprecated API migrations'
        ]
      };
    `,
    
    quantification: `
      // Quantify debt impact
      const debtImpact = {
        developmentVelocity: '40% slower than baseline',
        bugRate: '2x industry average',
        onboardingTime: '3 months for new engineers',
        operationalCost: '30% higher hosting costs'
      };
    `
  },
  
  prioritizationFramework: {
    criteria: [
      'Business impact',
      'User experience impact',
      'Development velocity impact',
      'Risk reduction',
      'Strategic alignment'
    ],
    
    scoring: `
      // Weighted scoring model
      const calculatePriority = (issue) => {
        const scores = {
          businessImpact: rateImpact(issue.businessImpact) * 0.3,
          userImpact: rateImpact(issue.userImpact) * 0.25,
          devVelocityImpact: rateImpact(issue.devImpact) * 0.2,
          riskReduction: rateImpact(issue.riskReduction) * 0.15,
          strategicAlignment: rateImpact(issue.strategicAlignment) * 0.1
        };
        
        return Object.values(scores).reduce((sum, score) => sum + score, 0);
      };
    `
  },
  
  executionStrategy: {
    approach: 'Dual-track agile with dedicated debt sprints',
    
    allocation: `
      const resourceAllocation = {
        featureDevelopment: '70% of engineering capacity',
        technicalDebt: '20% of engineering capacity',
        innovationAndLearning: '10% of engineering capacity'
      };
    `,
    
    tactics: [
      'Boy Scout Rule: Leave code better than you found it',
      'Refactoring as part of feature work',
      'Dedicated "cleanup" sprints every quarter',
      'Automated debt detection in CI/CD',
      'Debt tracking in project management'
    ],
    
    measurement: `
      // Track progress
      const debtMetrics = {
        totalDebtItems: 'Track reduction over time',
        velocityTrend: 'Measure improvement in story points',
        bugRate: 'Track reduction in production bugs',
        developerSatisfaction: 'Regular surveys'
      };
    `
  },
  
  prevention: {
    cultural: [
      'Code review checklist including debt considerations',
      'Definition of Done includes technical debt assessment',
      'Celebrate debt reduction achievements'
    ],
    
    technical: [
      'Static analysis in CI/CD pipeline',
      'Automated code quality gates',
      'Architecture review for all major changes',
      'Performance budgets and monitoring'
    ],
    
    process: [
      'Regular architecture reviews',
      'Tech debt backlog grooming',
      'Debt-aware planning poker',
      'Post-mortems for technical decisions'
    ]
  }
};

const ReactFutureStrategy = {
  currentAssessment: {
    reactVersion: 'Determine current version and upgrade path',
    concurrentFeatures: 'Evaluate adoption of useTransition, useDeferredValue',
    serverComponents: 'Assresss readiness for RSC',
    compilerReadiness: 'Evaluate for React Forget compatibility'
  },
  
  migrationPath: {
    phase1: 'Stabilization (Months 1-6)',
    goals: [
      'Upgrade to React 18 with strict mode',
      'Enable concurrent features in low-risk areas',
      'Implement error boundaries universally',
      'Adopt Suspense for data fetching'
    ],
    
    phase2: 'Experimentation (Months 7-12)',
    goals: [
      'Pilot server components in non-critical features',
      'Experiment with React Forget compiler',
      'Implement streaming SSR',
      'Evaluate meta-frameworks (Next.js 15+, Remix)'
    ],
    
    phase3: 'Transformation (Months 13-36)',
    goals: [
      'Full adoption of server components where beneficial',
      'Compiler-driven optimizations',
      'Edge rendering deployment',
      'AI-assisted development tools integration'
    ]
  },
  
  trainingPlan: {
    reactCore: [
      'Deep dive into concurrent rendering model',
      'Understanding of time slicing and priorities',
      'Server Components mental model',
      'Compiler optimization principles'
    ],
    
    ecosystem: [
      'Meta-framework comparisons',
      'Build tool evolution (Vite, Turbopack)',
      'State management next-gen (Zustand, Jotai)',
      'Testing strategies for concurrent features'
    ],
    
    futureTrends: [
      'React Native for web convergence',
      'WebAssembly integration patterns',
      'AI/ML in React development',
      'WebGPU for advanced visualizations'
    ]
  },
  
  riskMitigation: {
    technical: [
      'A/B testing for new features',
      'Feature flags for gradual rollout',
      'Comprehensive testing strategy',
      'Performance monitoring during transitions'
    ],
    
    organizational: [
      'Phased team training',
      'Communities of practice',
      'External expertise engagement',
      'Conference attendance and knowledge sharing'
    ]
  }
};

const AIDevelopmentFramework = {
  principles: [
    'Augmentation, not replacement',
    'Maintain code ownership and understanding',
    'Preserve team collaboration and learning',
    'Ensure security and intellectual property protection'
  ],
  
  toolingStack: {
    codeCompletion: 'GitHub Copilot with custom rulesets',
    codeReview: 'AI-assisted PR reviews',
    documentation: 'AI-generated documentation with human review',
    testing: 'AI test generation and mutation testing'
  },
  
  // Custom rules for React development
  reactSpecificRules: `
    // Copilot configuration for React
    const reactRules = {
      componentPatterns: {
        preferFunctional: true,
        hooksFirst: true,
        memoization: 'when prop changes > 3',
        errorBoundaries: 'required for data fetching'
      },
      codeStyle: {
        importOrder: ['react', 'libraries', 'components', 'utils'],
        propTypes: 'TypeScript interfaces required',
        naming: 'PascalCase components, camelCase functions'
      },
      performance: {
        warnOnLargeRenders: true,
        suggestMemoization: true,
        bundleSizeAware: true
      }
    };
  `,
  
  workflowIntegration: {
    development: `
      // AI-assisted development workflow
      1. Human writes component skeleton
      2. AI suggests implementation patterns
      3. Human reviews and modifies
      4. Pair programming with AI for complex logic
      5. Human writes tests, AI suggests edge cases
    `,
    
    codeReview: `
      // AI-enhanced code review
      const aiReviewProcess = {
        automatedChecks: [
          'Performance anti-patterns',
          'Accessibility violations',
          'Security vulnerabilities',
          'Architecture consistency'
        ],
        humanFocus: [
          'Business logic correctness',
          'Team conventions',
          'Strategic alignment',
          'Code readability'
        ]
      };
    `,
    
    knowledgeManagement: `
      // Preventing knowledge loss
      const knowledgePreservation = {
        aiTraining: 'Regularly train on team's code patterns',
        documentation: 'AI generates, humans refine',
        codeExplanations: 'AI adds comments for complex logic',
        decisionLog: 'AI helps document architectural decisions'
      };
    `
  },
  
  governance: {
    security: [
      'Code never leaves company infrastructure',
      'Regular security audits of AI suggestions',
      'Sanitization of training data',
      'IP protection measures'
    ],
    
    quality: [
      'Required human review for production code',
      'AI-generated code coverage requirements',
      'Performance regression testing',
      'Accessibility compliance verification'
    ],
    
    teamDevelopment: [
      'Mentorship programs alongside AI tools',
      'Regular skill assessments',
      'Pair programming encouraged',
      'AI tool proficiency as skill development'
    ]
  },
  
  metrics: {
    productivity: 'Track velocity changes',
    quality: 'Measure bug rates and code review time',
    learning: 'Survey developer satisfaction and growth',
    innovation: 'Track new patterns and solutions discovered'
  }
};