Toqi-App Code Quality Analysis Report

Project: Toqi - AI Chat Application
Version: 1.0.0
Analysis Date: January 2, 2026
Technology Stack: React Native 0.81.5, Expo SDK 54, TypeScript 5.9.3

---

Table of Contents

1. Executive Summary
2. Architecture Overview
3. Security Posture
4. Performance and Efficiency
5. Maintainability
6. Scalability
7. Testing and Quality Assurance
8. UI/UX and Design Patterns
9. Code Quality and Style
10. Code Duplication
11. Documentation and Onboarding
12. Tooling and Automation
13. Observability
14. Recommendations Summary

---

Executive Summary

The Toqi-App is a modern React Native application built with Expo SDK 54, implementing an AI chat interface with integrations to Gmail, Google Calendar, and Outlook. The codebase demonstrates good architectural decisions with a feature-first structure and modern state management, but has significant gaps in testing, CI/CD automation, and observability that need immediate attention.

Overall Score: 6.5/10

Category	Score	Priority
Security Posture	7/10	🟡 Medium
Performance & Efficiency	8/10	🟢 Low
Maintainability	7/10	🟡 Medium
Scalability	7.5/10	🟢 Low
Testing & QA	2/10	🔴 Critical
UI/UX & Design	8/10	🟢 Low
Code Quality & Style	7/10	🟡 Medium
Code Duplication	5/10	🔴 High
Documentation	8/10	🟢 Low
Tooling & Automation	4/10	🔴 High
Observability	4/10	🔴 High

---

Architecture Overview

graph TB
    subgraph "App Entry"
        A[App.tsx] --> B[RootProvider]
    end
    
    subgraph "Provider Layer"
        B --> C[GestureHandlerRootView]
        C --> D[SafeAreaProvider]
        D --> E[QueryProvider]
        E --> F[ThemeProvider]
        F --> G[AuthProvider]
    end
    
    subgraph "Navigation"
        G --> H[RootNavigator]
        H --> I[AuthChatScreen]
        H --> J[MainTabNavigator]
        J --> K[AgendaScreen]
        J --> L[ChatScreen]
        J --> M[MemoriesScreen]
        J --> N[SettingsScreen]
    end
    
    subgraph "State Management"
        O[React Query - Server State]
        P[Zustand - UI State]
        Q[AsyncStorage - Persistence]
    end
    
    subgraph "Services Layer"
        R[authService]
        S[chatService]
        T[composioService]
        U[pushNotificationService]
    end
    
    L --> S
    L --> O
    L --> P

Directory Structure

src/
├── app/
│   ├── config/          # App configuration
│   ├── navigation/      # Navigation setup (RootNavigator, MainTabNavigator)
│   └── providers/       # App providers (Query, Theme, Root)
├── features/            # Feature-first architecture
│   ├── agenda/          # Agenda feature (22 files)
│   ├── auth/            # Authentication (22 files)
│   ├── chat/            # Chat feature (23 files)
│   ├── contacts/        # Contacts (4 files)
│   ├── knowledge-graph/ # Knowledge graph (6 files)
│   ├── memories/        # Memories feature (6 files)
│   ├── podcast/         # Podcast (4 files)
│   ├── settings/        # Settings (4 files)
│   └── user/            # User management (2 files)
├── hooks/               # Shared hooks
└── shared/
    ├── services/        # Shared services (13 files)
    ├── store/           # Zustand stores
    ├── theme/           # Theme system
    ├── ui/              # Reusable UI components (16 files)
    └── utils/           # Utilities

Strengths:

• ✅ Feature-first architecture promotes modularity
• ✅ Clear separation between features and shared code
• ✅ Modern state management (React Query + Zustand)
• ✅ TypeScript strict mode enabled

Weaknesses:

• ❌ No clear domain/infrastructure layer separation
• ❌ Services mixed with business logic

---

Security Posture

Authentication & Authorization

sequenceDiagram
    participant U as User
    participant A as App
    participant F as Firebase Auth
    participant B as Backend

    U->>A: Sign in (Email/Google)
    A->>F: Authenticate
    F-->>A: ID Token + Refresh Token
    A->>A: Store in AsyncStorage
    A->>B: API Request + Bearer Token
    B->>F: Verify Token
    F-->>B: Token Valid
    B-->>A: Response

Positive Findings

1. Firebase Authentication Integration - Using Firebase REST API for auth operations with proper token management:

// src/features/auth/services/authService.ts
async getIdToken(): Promise<string | null> {
  if (!this.currentAuthData) return null;
  // Check if token is about to expire (within 5 minutes)
  if (this.currentAuthData.expiresAt - Date.now() < 5 * 60 * 1000) {
    await this.refreshAuthToken(this.currentAuthData.refreshToken);
  }
  return this.currentAuthData?.idToken || null;
}

2. Firebase App Check - App attestation configured for iOS (App Attest) and Android (Play Integrity):

// src/shared/services/firebaseInitService.ts
rnfbProvider.configure({
  android: {
    provider: __DEV__ && androidDebugToken ? 'debug' : 'playIntegrity',
  },
  apple: {
    provider: __DEV__ && iosDebugToken ? 'debug' : 'appAttest',
  },
});

3. Secure WebSocket Upgrade - Automatic upgrade from ws:// to wss:// for production:

// src/features/chat/services/chatService.ts
if (!url.includes('localhost') && !url.includes('10.0.2.2') && url.startsWith('ws://')) {
  url = url.replace('ws://', 'wss://');
  console.log('ChatService: Upgraded to secure WebSocket');
}

4. Token Logging Prevention - Token is stripped from URL logs:

const urlForLogging = url.split('?')[0];
console.log('ChatService: Connecting to WebSocket:', urlForLogging);

Security Concerns

Issue	Severity	Location	Recommendation
Auth tokens stored in AsyncStorage	Medium	authService.ts	Consider using secure keychain storage (expo-secure-store)
No input sanitization for user messages	Medium	ChatScreen.tsx	Add input validation before sending to backend
API keys in environment variables	Low	app.config.ts	Document secure handling in production
No rate limiting on client side	Low	chatService.ts	Add debouncing for rapid message sending
Password minimum length only 6 chars	Low	Firebase config	Recommend stronger password policies

Missing Security Features

• ❌ No biometric authentication option
• ❌ No session timeout/inactivity logout
• ❌ No certificate pinning
• ❌ No jailbreak/root detection
• ❌ No secure storage for sensitive data

---

Performance and Efficiency

Positive Patterns

1. FlashList for Chat Messages - High-performance list implementation:

// src/features/chat/screens/ChatScreen.tsx
<FlashList
  ref={flashListRef}
  data={groupedMessages}
  renderItem={renderMessageGroup}
  keyExtractor={(item) => item.id}
  showsVerticalScrollIndicator={false}
/>

2. React Query with Persistence - Efficient caching with offline support:

// src/app/providers/QueryProvider.tsx
const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      gcTime: 1000 * 60 * 5,      // 5 minute garbage collection
      staleTime: 1000 * 60,       // 1 minute stale time
      retry: 3,
      retryDelay: (attemptIndex) => Math.min(1000 * 2 ** attemptIndex, 30000),
    },
  },
});

3. Zustand with Persist Middleware - Efficient state management with persistence:

// src/features/chat/store/useChatStore.ts
export const useChatStore = create<ChatState>()(
  persist(
    (set) => ({
      messages: [],
      // ... actions
    }),
    {
      name: 'toqi-chat-storage',
      storage: createJSONStorage(() => AsyncStorage),
    }
  )
);

4. Message Grouping Optimization - Pagination with date-based loading:

// Smart pagination - only loads 7 days initially
const [loadedDatesCount, setLoadedDatesCount] = useState(7);

5. Refs for Stable Callbacks - Avoiding unnecessary re-renders:

const addMessageRef = useRef(addMessage);
const updateLastMessageRef = useRef(updateLastMessage);

useEffect(() => {
  addMessageRef.current = addMessage;
  updateLastMessageRef.current = updateLastMessage;
}, [addMessage, updateLastMessage]);

Performance Concerns

Issue	Impact	Recommendation
288 console.log statements in production	Medium	Remove or gate behind __DEV__
No image caching strategy	Low	Implement with expo-image
No bundle size optimization	Low	Implement code splitting
WebSocket reconnection polling every 5s	Low	Use expo-network events instead

Memory Management

// Good: Cleanup in useEffect
useEffect(() => {
  const subscription = AppState.addEventListener('change', handleAppStateChange);
  return () => {
    subscription.remove();
  };
}, []);

---

Maintainability

Code Organization: 7/10

Strengths:

1. Feature-First Architecture - Each feature is self-contained:

features/chat/
├── api/            # API definitions
├── components/     # UI components
├── data/           # Mock data/constants
├── hooks/          # Feature hooks
├── screens/        # Screen components
├── services/       # Business logic
├── store/          # State management
└── types/          # TypeScript types

2. Path Aliases - Clean imports with TypeScript paths:

import { useTheme } from '@/shared/theme';
import { ChatScreen } from '@/features/chat/screens/ChatScreen';

3. Strict TypeScript Configuration:

{
  "strict": true,
  "noImplicitAny": true,
  "strictNullChecks": true,
  "noUnusedLocals": true,
  "noUnusedParameters": true,
  "noImplicitReturns": true,
  "noUncheckedIndexedAccess": true
}

Weaknesses:

1. Large Files - Some files are too large (chatService.ts: 844 lines, ChatScreen.tsx: 692 lines)

2. Mixed Responsibilities - Some services handle both business logic and API calls

3. Inconsistent Naming - Mix of PascalCase and camelCase for services:

   • SoundService.ts vs authService.ts

Complexity Metrics

File	Lines	Concern
chatService.ts	844	Consider splitting into WebSocket and REST handlers
authService.ts	690	Consider extracting token management
ChatScreen.tsx	692	Consider extracting message handling logic
tokens.ts	748	Acceptable for design tokens
SettingsScreen.tsx	761	Consider breaking into smaller components

---

Scalability

Architecture Patterns: 7.5/10

graph LR
    subgraph "Scalability Patterns"
        A[Feature Modules] --> B[Lazy Loading Ready]
        C[Service Singletons] --> D[Stateless Services]
        E[React Query] --> F[Server State Cache]
        G[Zustand] --> H[Client State]
    end

Positive Patterns:

1. Singleton Services - Consistent service instantiation:

// Export singleton instance
export const authService = new AuthService();
export const chatService = new ChatService();

2. React Query for Server State - Scales well with additional endpoints:

// Easy to add new queries
export const useTopTasks = () => {
  return useQuery({
    queryKey: ['topTasks'],
    queryFn: () => topTasksService.getTopTasks(),
  });
};

3. Zustand for UI State - Lightweight and scalable:

export const useChatUIStore = create<ChatUIState>((set) => ({
  showToolStatus: true,
  toggleShowToolStatus: () => set((state) => ({ showToolStatus: !state.showToolStatus })),
}));

Scalability Concerns:

Concern	Impact	Recommendation
No API versioning	Medium	Add version prefix to API URLs
No offline queue for messages	Medium	Implement offline-first pattern
Single WebSocket connection	Low	Consider connection pooling for scale
No lazy loading for screens	Low	Implement React.lazy for heavy screens

---

Testing and Quality Assurance

Current State: 2/10 (Critical)

pie title Test Coverage Distribution
    "No Tests Found" : 100
    "Unit Tests" : 0
    "Integration Tests" : 0
    "E2E Tests" : 0

Test Infrastructure Analysis

Present:

• ✅ Jest configuration (jest.config.js)
• ✅ Jest setup file (jest.setup.js)
• ✅ Testing dependencies installed
• ✅ Mock configuration for Expo modules

// jest.config.js - Configuration exists
module.exports = {
  preset: 'jest-expo',
  transformIgnorePatterns: [...],
  setupFilesAfterEnv: ['<rootDir>/jest.setup.js'],
  collectCoverageFrom: ['src/**/*.{ts,tsx}', ...],
};

Missing:

• ❌ Zero test files found (*.test.ts, *.test.tsx)
• ❌ No unit tests for services
• ❌ No component tests
• ❌ No integration tests
• ❌ No E2E tests (Detox/Maestro)
• ❌ No snapshot tests
• ❌ No test coverage reports

Critical Test Gaps

Area	Risk Level	Components Needing Tests
Authentication	🔴 Critical	authService.ts, AuthContext.tsx
Chat Logic	🔴 Critical	chatService.ts, useChatStore.ts
State Management	🔴 High	All Zustand stores
API Clients	🔴 High	apiClient.ts, composioService.ts
UI Components	🟡 Medium	MessageBubble.tsx, ChatInput.tsx

Recommended Test Strategy

// Example unit test structure that should exist
// __tests__/services/authService.test.ts
describe('AuthService', () => {
  describe('signInWithEmail', () => {
    it('should return user on successful login', async () => {
      // Test implementation
    });

    it('should throw on invalid credentials', async () => {
      // Test implementation
    });
  });

  describe('getIdToken', () => {
    it('should refresh token when expired', async () => {
      // Test implementation
    });
  });
});

---

UI/UX and Design Patterns

Design System: 8/10

Strengths:

1. Comprehensive Design Token System:

// src/shared/theme/tokens.ts
export const colors = {
  light: {
    primary: '#4A607A',
    secondary: '#F6BE9A',
    // ... 100+ tokens for both light/dark modes
  },
  dark: {
    // Complete dark mode support
  },
};

export const spacing = {
  xs: 4, sm: 8, md: 16, lg: 24, xl: 32, xxl: 48,
};

export const typography = {
  fontSizes: { xs: 12, sm: 14, md: 16, lg: 18, xl: 20, xxl: 24, xxxl: 32 },
  fontWeights: { regular: '400', medium: '500', semibold: '600', bold: '700' },
};

2. Glassmorphism Design Language:

// Liquid Glass Design System
export const liquidGlass = {
  borderRadius: {
    card: 20,
    widget: 16,
    input: 24,
    pill: 100,
    bubble: 18,
  },
  glass: {
    blur: { subtle: 15, medium: 25, strong: 40 },
    tint: {
      light: 'rgba(255, 255, 255, 0.7)',
      dark: 'rgba(0, 0, 0, 0.6)',
    },
  },
};

3. Reusable Glass Components:

// GlassCard with animated press feedback
<GlassCard intensity="medium" padding="md" onPress={handlePress}>
  {children}
</GlassCard>

4. Theme Context with System Preference:

const colorScheme: ColorScheme =
  themeMode === 'system' 
    ? (systemColorScheme === 'dark' ? 'dark' : 'light') 
    : themeMode;

5. Gradient Background System:

export const gradients = {
  pageGradients: {
    agenda: { light: ['#ffffff', '#fbe9d5', '#F3DCC6', '#EDEDED'] },
    chat: { light: ['#ffffff', '#f2f2f2', '#FFF1E3', '#A9DAF3'] },
    memory: { light: ['#ffffff', '#E9F3FA', '#A9DAF3', '#D5DBE3'] },
  },
};

Accessibility

Feature	Status	Notes
Dark Mode	✅ Complete	Automatic system preference detection
Screen Reader	⚠️ Partial	No explicit accessibilityLabel props
Haptic Feedback	✅ Complete	Optional, user-configurable
Font Scaling	⚠️ Partial	Fixed font sizes, not responsive
Color Contrast	✅ Good	Design tokens ensure contrast

---

Code Quality and Style

Linting Configuration: 7/10

// eslint.config.js - Good configuration
module.exports = [
  {
    rules: {
      '@typescript-eslint/no-explicit-any': 'warn',
      'react-hooks/rules-of-hooks': 'error',
      'react-hooks/exhaustive-deps': 'error',
      'unused-imports/no-unused-imports': 'error',
    },
  },
];

Code Style Patterns

Good Patterns:

1. Consistent Hook Patterns:

export function useAuth(): AuthContextType {
  const context = useContext(AuthContext);
  if (context === undefined) {
    throw new Error('useAuth must be used within an AuthProvider');
  }
  return context;
}

2. Type-Safe Store Selectors:

const addMessage = useChatStore((state) => state.addMessage);
const messages = useChatStore((state) => state.messages);

3. Proper Error Handling Pattern:

private handleAuthError(error: unknown): Error {
  const errorMessage = error && typeof error === 'object' && 'response' in error
    ? (error as { response?: { data?: { error?: { message?: string } } } })
        .response?.data?.error?.message
    : error instanceof Error
      ? error.message
      : String(error);
  
  switch (errorMessage) {
    case 'EMAIL_EXISTS':
      return new Error('This email is already registered.');
    // ... more cases
  }
}

Issues Found:

Issue	Count	Example
console.log in production code	288	Should use proper logging
Disabled ESLint rules	3	// eslint-disable-next-line
Type assertions (as)	~50	Should use type guards
any type usage	~15	Should be replaced with proper types

---

Code Duplication

Critical Duplication: 5/10

graph TD
    A[getHeaders Pattern] --> B[8 Duplicate Implementations]
    B --> C[scheduledTaskService.ts]
    B --> D[topTasksService.ts]
    B --> E[productivityService.ts]
    B --> F[profileInsightsService.ts]
    B --> G[chatService.ts]
    B --> H[dailyBriefService.ts]
    B --> I[userService.ts]
    B --> J[contactService.ts]

Duplicated getHeaders() Pattern

Found in 8 different files - Identical implementation:

// Duplicated in 8 services!
private async getHeaders(): Promise<Record<string, string>> {
  const token = await authService.getIdToken();
  if (!token) {
    throw new Error('No authentication token available');
  }
  return {
    Authorization: `Bearer ${token}`,
    'Content-Type': 'application/json',
  };
}

Files with duplication:

1. src/features/chat/services/dailyBriefService.ts
2. src/features/chat/services/chatService.ts
3. src/features/agenda/services/scheduledTaskService.ts
4. src/features/agenda/services/profileInsightsService.ts
5. src/features/agenda/services/productivityService.ts
6. src/features/agenda/services/topTasksService.ts
7. src/features/user/services/userService.ts
8. src/features/contacts/services/contactService.ts

Recommended Refactoring

// src/shared/services/apiClient.ts - Extend with auth interceptor
import axios from 'axios';
import { authService } from '@/features/auth/services/authService';

const apiClient = axios.create({
  baseURL: API_URL,
  timeout: 60000,
});

// Add auth interceptor - removes need for getHeaders() everywhere
apiClient.interceptors.request.use(async (config) => {
  const token = await authService.getIdToken();
  if (token) {
    config.headers.Authorization = `Bearer ${token}`;
  }
  return config;
});

export { apiClient };

Other Duplication Patterns

Pattern	Occurrences	Impact
Error handling in services	~15	Medium
Loading state management	~10	Low
Navigation patterns	~5	Low

---

Documentation and Onboarding

Documentation Quality: 8/10

Strengths:

1. Comprehensive README.md:

   • Environment setup instructions
   • Development commands
   • Project structure explanation
   • State management guide
   • Production checklist

2. Extensive docs/ folder (20 documentation files):

   • PUSH_NOTIFICATIONS_SETUP.md - Detailed push notification guide
   • FIREBASE_AUTH_SETUP.md - Firebase authentication setup
   • GOOGLE_SIGN_IN_SETUP.md - Google Sign-In configuration
   • BACKEND_CONFIGURATION.md - Backend integration guide
   • CHAT_SESSION_MANAGEMENT.md - Chat session handling
   • And 15 more specialized guides

3. Code Documentation:

/**
 * API Client with Retry Logic
 * ===========================
 *
 * PURPOSE:
 * Provides a configured axios instance with automatic retry logic
 *
 * WHERE USED:
 * - Direct service calls that bypass React Query
 *
 * NOTE:
 * For most data fetching, prefer using React Query hooks
 */

Gaps:

Gap	Priority
No API documentation (OpenAPI/Swagger)	Medium
No architecture decision records (ADRs)	Low
No contribution guidelines	Low
No changelog	Low

---

Tooling and Automation

CI/CD Status: 4/10 (High Priority)

graph LR
    subgraph "Current State"
        A[Manual Builds] --> B[No CI Pipeline]
        B --> C[No Automated Tests]
        C --> D[Manual Deployment]
    end
    
    subgraph "Expected State"
        E[Git Push] --> F[CI Pipeline]
        F --> G[Lint/Type Check]
        G --> H[Run Tests]
        H --> I[Build]
        I --> J[Deploy]
    end

Present Tooling

Tool	Status	Configuration
ESLint	✅ Configured	eslint.config.js
Prettier	✅ Configured	Via eslint-config-prettier
TypeScript	✅ Strict mode	tsconfig.json
Jest	⚠️ Configured, no tests	jest.config.js
EAS Build	✅ Configured	eas.json

Missing Automation

Missing	Priority	Impact
GitHub Actions CI/CD	🔴 Critical	No automated quality gates
Pre-commit hooks (Husky)	🔴 High	No commit-time validation
Automated testing	🔴 Critical	No regression prevention
Security scanning (Snyk/Dependabot)	🟡 Medium	No vulnerability detection
Bundle size monitoring	🟢 Low	No size regression tracking

Recommended CI Configuration

# .github/workflows/ci.yml (recommended)
name: CI

on: [push, pull_request]

jobs:
  quality:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      
      - name: Install dependencies
        run: pnpm install
      
      - name: Type check
        run: pnpm run typecheck
      
      - name: Lint
        run: pnpm run lint
      
      - name: Format check
        run: pnpm run format:check
      
      - name: Test
        run: pnpm test -- --coverage
      
      - name: Upload coverage
        uses: codecov/codecov-action@v3

---

Observability

Logging, Metrics & Monitoring: 4/10 (High Priority)

graph TD
    subgraph "Current Observability"
        A[console.log - 288 calls]
        B[No Structured Logging]
        C[No Error Tracking]
        D[No APM]
    end
    
    subgraph "Recommended"
        E[Structured Logger]
        F[Sentry/Bugsnag]
        G[Firebase Analytics]
        H[Performance Monitoring]
    end

Current State

Logging:

• 288 console.log statements across 45 files
• No log levels (debug, info, warn, error)
• No structured logging format
• Logs will appear in production

Error Tracking:

• Basic error catching in services
• No external error reporting (Sentry, Bugsnag)
• No error boundaries in React components

Analytics:

• Firebase Analytics configured but minimally used
• Single sendEvent call found in chat

// Only analytics call found
sendEvent('message_sent', { message: userMessage.text });

Recommendations

1. Implement Structured Logging:

// Recommended: src/shared/services/logger.ts
type LogLevel = 'debug' | 'info' | 'warn' | 'error';

class Logger {
  private shouldLog(level: LogLevel): boolean {
    return __DEV__ || level === 'error' || level === 'warn';
  }

  log(level: LogLevel, message: string, context?: object) {
    if (!this.shouldLog(level)) return;
    
    const logEntry = {
      timestamp: new Date().toISOString(),
      level,
      message,
      ...context,
    };
    
    console[level](JSON.stringify(logEntry));
  }
}

export const logger = new Logger();

2. Add Error Boundaries:

// Recommended: src/shared/ui/ErrorBoundary.tsx
class ErrorBoundary extends React.Component {
  componentDidCatch(error: Error, errorInfo: ErrorInfo) {
    // Send to Sentry/Bugsnag
    Sentry.captureException(error, { extra: errorInfo });
  }
}

3. Implement Performance Monitoring:

// Track key user journeys
const trackPerformance = (name: string, startTime: number) => {
  const duration = Date.now() - startTime;
  analytics().logEvent('performance', { name, duration_ms: duration });
};

---

Recommendations Summary

Priority Matrix

quadrantChart
    title Priority vs Effort Matrix
    x-axis Low Effort --> High Effort
    y-axis Low Priority --> High Priority
    quadrant-1 Quick Wins
    quadrant-2 Major Projects
    quadrant-3 Fill Ins
    quadrant-4 Time Sinks
    
    "Add Unit Tests": [0.7, 0.95]
    "Setup CI/CD": [0.5, 0.9]
    "Error Tracking": [0.3, 0.85]
    "Fix Code Duplication": [0.4, 0.7]
    "Remove console.logs": [0.2, 0.6]
    "Add Pre-commit Hooks": [0.2, 0.5]
    "Secure Storage": [0.6, 0.4]
    "Accessibility": [0.7, 0.3]

Immediate Actions (Week 1-2)

#	Action	Impact	Effort
1	Setup GitHub Actions CI pipeline	🔴 Critical	Medium
2	Add Sentry/Bugsnag error tracking	🔴 High	Low
3	Remove/gate console.log statements	🟡 Medium	Low
4	Add pre-commit hooks (Husky + lint-staged)	🟡 Medium	Low

Short-term Actions (Month 1)

#	Action	Impact	Effort
5	Write unit tests for auth and chat services	🔴 Critical	High
6	Extract common getHeaders() to apiClient interceptor	🟡 Medium	Low
7	Implement structured logging service	🟡 Medium	Medium
8	Add React Error Boundaries	🟡 Medium	Low

Medium-term Actions (Quarter 1)

#	Action	Impact	Effort
9	Achieve 60%+ test coverage	🔴 High	High
10	Implement secure storage (expo-secure-store)	🟡 Medium	Medium
11	Add accessibility labels and testing	🟢 Low	Medium
12	Implement E2E tests with Detox/Maestro	🟡 Medium	High

---

Conclusion

The Toqi-App demonstrates solid architectural foundations with modern tooling choices. The feature-first structure, TypeScript strict mode, and React Query + Zustand state management are excellent decisions that will support long-term maintainability.

However, the complete absence of tests and lack of CI/CD automation represent critical gaps that must be addressed immediately. The codebase is at risk of regression bugs and has no automated quality gates.

Top 3 Priorities:

1. 🔴 Testing - Add unit tests for critical paths (auth, chat)
2. 🔴 CI/CD - Setup automated quality checks
3. 🔴 Error Tracking - Implement Sentry/Bugsnag for production monitoring

With these improvements, the codebase quality score could improve from 6.5/10 to 8.5/10 within a quarter.

---

Report generated by code analysis on January 2, 2026