Debugging and Profiling React Native Apps Effectively

React Native, Debugging|SEPTEMBER 9, 2025|0 VIEWS

Master the tools and techniques for identifying, diagnosing, and fixing performance issues in React Native applications

Table of Contents

Understanding React Native Architecture for Better Debugging

Essential Debugging Tools

Performance Profiling Techniques

Common Debugging Scenarios

Native Debugging

Advanced Profiling Techniques

Debugging Best Practices

Crash Reporting and Analytics

Conclusion

Further Resources

Debugging and Profiling React Native Apps Effectively

Building React Native apps is just the beginning. To deliver high-quality, performant applications, you need to master the art of debugging and profiling. Whether you're dealing with memory leaks, performance bottlenecks, or mysterious crashes, having the right tools and techniques at your disposal is crucial for maintaining a smooth development workflow and delivering exceptional user experiences.

In this comprehensive guide, we'll explore the essential debugging and profiling tools, techniques, and best practices that will help you identify, diagnose, and resolve issues in your React Native applications effectively.

Understanding React Native Architecture for Better Debugging

Before diving into specific tools and techniques, it's important to understand React Native's architecture to debug more effectively:

The Bridge

React Native uses a bridge to communicate between JavaScript and native threads. Understanding this helps you:

Identify where bottlenecks occur
Optimize data serialization
Reduce bridge traffic

Thread Structure

JavaScript Thread: Runs your app logic
Main Thread (UI): Handles UI updates and user interactions
Shadow Thread: Calculates layout
Native Modules Thread: Executes native module calls

Essential Debugging Tools

1. React Native Debugger

React Native Debugger is a standalone desktop app that combines several debugging tools:

# Install React Native Debugger
npm install -g react-native-debugger

# Or download from GitHub releases
# https://github.com/jhen0409/react-native-debugger/releases

Key Features:

Redux DevTools integration
React DevTools
Network inspection
Async storage inspection

Usage:

# Start the debugger
open "rndebugger://set-debugger-loc?host=localhost&port=8081"

2. Metro Bundler Debugging

Metro provides built-in debugging capabilities:

// Enable debugging in metro.config.js
module.exports = {
  resolver: {
    // Enable symlinks for better debugging
    unstable_enableSymlinks: true,
  },
  transformer: {
    // Enable source maps
    unstable_allowRequireContext: true,
  },
};

3. Chrome DevTools Integration

// Enable remote debugging
// Shake device → "Debug" → "Debug with Chrome"

// Or programmatically
if (__DEV__) {
  import("./ReactotronConfig").then(() => console.log("Reactotron Configured"));
}

4. Reactotron

Reactotron is a powerful desktop app for debugging React Native:

npm install --save-dev reactotron-react-native reactotron-redux

// ReactotronConfig.js
import Reactotron from "reactotron-react-native";
import { reactotronRedux } from "reactotron-redux";

const reactotron = Reactotron.configure({
  name: "MyApp",
})
  .useReactNative({
    asyncStorage: false,
    networking: {
      ignoreUrls: /symbolicate/,
    },
    editor: false,
    errors: { veto: (stackFrame) => false },
    overlay: false,
  })
  .use(reactotronRedux())
  .connect();

export default reactotron;

5. Flipper Integration

Flipper provides a platform for debugging mobile apps:

# Install Flipper
npm install --save-dev react-native-flipper

# For iOS
cd ios && pod install

// FlipperConfig.js
import { logger } from "react-native-logs";

const defaultConfig = {
  severity: __DEV__ ? "debug" : "error",
  transport: __DEV__ ? logger.consoleTransport : logger.fileAsyncTransport,
  transportOptions: {
    colors: {
      info: "blueBright",
      warn: "yellowBright",
      error: "redBright",
    },
  },
};

const log = logger.createLogger(defaultConfig);
export default log;

Performance Profiling Techniques

1. React DevTools Profiler

// Wrap components you want to profile
import { Profiler } from "react";

function onRenderCallback(
  id,
  phase,
  actualDuration,
  baseDuration,
  startTime,
  commitTime
) {
  console.log("Component:", id);
  console.log("Phase:", phase);
  console.log("Actual duration:", actualDuration);
  console.log("Base duration:", baseDuration);
}

function MyComponent() {
  return (
    <Profiler id="MyComponent" onRender={onRenderCallback}>
      <ExpensiveComponent />
    </Profiler>
  );
}

2. Performance Monitor

Enable the performance monitor to track FPS and memory usage:

// In your app
if (__DEV__) {
  import("react-native").then(({ YellowBox }) => {
    YellowBox.ignoreWarnings(["Warning: ..."]);
  });
}

// Enable performance monitor
// Shake device → "Perf Monitor"

3. Memory Profiling

// Memory usage tracking
const trackMemoryUsage = () => {
  if (__DEV__) {
    const memoryUsage = performance.memory;
    console.log("Memory Usage:", {
      used: `${
        Math.round((memoryUsage.usedJSHeapSize / 1048576) * 100) / 100
      } MB`,
      total: `${
        Math.round((memoryUsage.totalJSHeapSize / 1048576) * 100) / 100
      } MB`,
      limit: `${
        Math.round((memoryUsage.jsHeapSizeLimit / 1048576) * 100) / 100
      } MB`,
    });
  }
};

// Track memory on component mount/unmount
useEffect(() => {
  trackMemoryUsage();
  return () => trackMemoryUsage();
}, []);

4. Bundle Analysis

Analyze your bundle size and dependencies:

# Generate bundle analysis
npx react-native bundle \
  --platform android \
  --dev false \
  --entry-file index.js \
  --bundle-output android-release.bundle \
  --sourcemap-output android-release.bundle.map

# Analyze the bundle
npm install -g react-native-bundle-visualizer
npx react-native-bundle-visualizer

Common Debugging Scenarios

1. JavaScript Errors and Crashes

// Error boundaries for better error handling
import React from "react";
import { View, Text } from "react-native";

class ErrorBoundary extends React.Component {
  constructor(props) {
    super(props);
    this.state = { hasError: false, error: null, errorInfo: null };
  }

  static getDerivedStateFromError(error) {
    return { hasError: true };
  }

  componentDidCatch(error, errorInfo) {
    this.setState({
      error: error,
      errorInfo: errorInfo,
    });

    // Log to crash reporting service
    if (!__DEV__) {
      crashlytics().recordError(error);
    }
  }

  render() {
    if (this.state.hasError) {
      return (
        <View
          style={{ flex: 1, justifyContent: "center", alignItems: "center" }}
        >
          <Text>Something went wrong!</Text>
          {__DEV__ && (
            <View>
              <Text>{this.state.error && this.state.error.toString()}</Text>
              <Text>{this.state.errorInfo.componentStack}</Text>
            </View>
          )}
        </View>
      );
    }

    return this.props.children;
  }
}

// Usage
function App() {
  return (
    <ErrorBoundary>
      <MyApp />
    </ErrorBoundary>
  );
}

2. Network Request Debugging

// Network interceptor for debugging
import { logger } from "react-native-logs";

const log = logger.createLogger();

// Axios interceptor
axios.interceptors.request.use(
  (config) => {
    log.debug("API Request:", {
      method: config.method?.toUpperCase(),
      url: config.url,
      data: config.data,
      headers: config.headers,
    });
    return config;
  },
  (error) => {
    log.error("API Request Error:", error);
    return Promise.reject(error);
  }
);

axios.interceptors.response.use(
  (response) => {
    log.debug("API Response:", {
      status: response.status,
      url: response.config.url,
      data: response.data,
    });
    return response;
  },
  (error) => {
    log.error("API Response Error:", {
      status: error.response?.status,
      url: error.config?.url,
      message: error.message,
      data: error.response?.data,
    });
    return Promise.reject(error);
  }
);

// Fetch interceptor
const originalFetch = global.fetch;
global.fetch = (...args) => {
  const [url, options] = args;

  log.debug("Fetch Request:", {
    url,
    method: options?.method || "GET",
    headers: options?.headers,
    body: options?.body,
  });

  return originalFetch(...args)
    .then((response) => {
      log.debug("Fetch Response:", {
        url,
        status: response.status,
        statusText: response.statusText,
      });
      return response;
    })
    .catch((error) => {
      log.error("Fetch Error:", {
        url,
        message: error.message,
      });
      throw error;
    });
};

3. Performance Bottlenecks

// Performance measurement utilities
const performanceLogger = {
  start: (label) => {
    if (__DEV__) {
      console.time(label);
      console.log(`🚀 Starting: ${label}`);
    }
  },

  end: (label) => {
    if (__DEV__) {
      console.timeEnd(label);
      console.log(`✅ Completed: ${label}`);
    }
  },

  mark: (label) => {
    if (__DEV__) {
      console.log(`⏱️ Checkpoint: ${label} at ${Date.now()}`);
    }
  },
};

// Usage in components
const ExpensiveComponent = () => {
  useEffect(() => {
    performanceLogger.start("ExpensiveComponent-mount");

    // Expensive operation
    const result = heavyComputation();

    performanceLogger.end("ExpensiveComponent-mount");
  }, []);

  return <View>{/* Component content */}</View>;
};

// HOC for performance tracking
const withPerformanceTracking = (WrappedComponent, componentName) => {
  return React.forwardRef((props, ref) => {
    useEffect(() => {
      performanceLogger.start(`${componentName}-render`);
      return () => performanceLogger.end(`${componentName}-render`);
    });

    return <WrappedComponent ref={ref} {...props} />;
  });
};

4. Memory Leak Detection

// Memory leak detection utility
class MemoryLeakDetector {
  constructor() {
    this.components = new Set();
    this.timers = new Set();
    this.listeners = new Set();
  }

  trackComponent(componentName, cleanup) {
    this.components.add({ name: componentName, cleanup });
  }

  trackTimer(timerId, cleanup) {
    this.timers.add({ id: timerId, cleanup });
  }

  trackListener(listenerName, cleanup) {
    this.listeners.add({ name: listenerName, cleanup });
  }

  cleanup() {
    this.components.forEach(({ cleanup }) => cleanup && cleanup());
    this.timers.forEach(({ cleanup }) => cleanup && cleanup());
    this.listeners.forEach(({ cleanup }) => cleanup && cleanup());

    this.components.clear();
    this.timers.clear();
    this.listeners.clear();
  }

  report() {
    console.log("Memory Leak Report:", {
      activeComponents: this.components.size,
      activeTimers: this.timers.size,
      activeListeners: this.listeners.size,
    });
  }
}

// Hook for automatic cleanup tracking
const useMemoryLeakDetection = (componentName) => {
  const detector = useRef(new MemoryLeakDetector());

  useEffect(() => {
    detector.current.trackComponent(componentName);

    return () => {
      detector.current.cleanup();
    };
  }, [componentName]);

  const trackTimer = useCallback((timer) => {
    detector.current.trackTimer(timer, () => clearTimeout(timer));
  }, []);

  const trackInterval = useCallback((interval) => {
    detector.current.trackTimer(interval, () => clearInterval(interval));
  }, []);

  const trackListener = useCallback((eventName, listener) => {
    detector.current.trackListener(eventName, listener);
  }, []);

  return { trackTimer, trackInterval, trackListener };
};

Native Debugging

1. iOS Debugging with Xcode

# Enable debugging symbols
# In Xcode: Product → Scheme → Edit Scheme → Run → Debug

# Useful Xcode debugging features:
# - Breakpoints in native code
# - Memory graph debugger
# - Instruments for performance profiling
# - Console logs from native modules

// Native iOS debugging
#ifdef DEBUG
#define DLog(fmt, ...) NSLog((@"%s [Line %d] " fmt), __PRETTY_FUNCTION__, __LINE__, ##__VA_ARGS__)
#else
#define DLog(...)
#endif

// Memory debugging
- (void)viewDidLoad {
    [super viewDidLoad];
    DLog(@"Memory usage: %@", [self memoryUsage]);
}

- (NSString *)memoryUsage {
    struct mach_task_basic_info info;
    mach_msg_type_number_t size = MACH_TASK_BASIC_INFO_COUNT;
    kern_return_t kerr = task_info(mach_task_self(), MACH_TASK_BASIC_INFO, (task_info_t)&info, &size);

    if (kerr == KERN_SUCCESS) {
        return [NSString stringWithFormat:@"%.2f MB", info.resident_size / (1024.0 * 1024.0)];
    }
    return @"Unknown";
}

2. Android Debugging with Android Studio

# Enable USB debugging
# Developer options → USB debugging

# ADB commands for debugging
adb logcat | grep "ReactNativeJS"
adb shell dumpsys meminfo com.yourapp

# Monitor performance
adb shell top -p $(adb shell pidof com.yourapp)

// Native Android debugging
public class DebugUtils {
    private static final String TAG = "ReactNativeDebug";

    public static void logMemoryUsage(Context context) {
        if (BuildConfig.DEBUG) {
            ActivityManager activityManager = (ActivityManager) context.getSystemService(Context.ACTIVITY_SERVICE);
            ActivityManager.MemoryInfo memoryInfo = new ActivityManager.MemoryInfo();
            activityManager.getMemoryInfo(memoryInfo);

            Log.d(TAG, String.format("Available memory: %d MB", memoryInfo.availMem / (1024 * 1024)));
            Log.d(TAG, String.format("Total memory: %d MB", memoryInfo.totalMem / (1024 * 1024)));
            Log.d(TAG, String.format("Low memory: %b", memoryInfo.lowMemory));
        }
    }

    public static void trackMethodExecution(String methodName, Runnable method) {
        if (BuildConfig.DEBUG) {
            long startTime = System.currentTimeMillis();
            Log.d(TAG, "Starting: " + methodName);

            method.run();

            long endTime = System.currentTimeMillis();
            Log.d(TAG, String.format("Completed: %s in %d ms", methodName, endTime - startTime));
        } else {
            method.run();
        }
    }
}

Advanced Profiling Techniques

1. Custom Performance Metrics

// Custom performance metrics collector
class PerformanceMetrics {
  constructor() {
    this.metrics = {};
    this.startTimes = {};
  }

  startMeasurement(label) {
    this.startTimes[label] = performance.now();
  }

  endMeasurement(label) {
    if (this.startTimes[label]) {
      const duration = performance.now() - this.startTimes[label];

      if (!this.metrics[label]) {
        this.metrics[label] = {
          count: 0,
          totalTime: 0,
          minTime: Infinity,
          maxTime: 0,
          avgTime: 0,
        };
      }

      const metric = this.metrics[label];
      metric.count++;
      metric.totalTime += duration;
      metric.minTime = Math.min(metric.minTime, duration);
      metric.maxTime = Math.max(metric.maxTime, duration);
      metric.avgTime = metric.totalTime / metric.count;

      delete this.startTimes[label];
    }
  }

  getMetrics() {
    return this.metrics;
  }

  clearMetrics() {
    this.metrics = {};
    this.startTimes = {};
  }

  logReport() {
    console.table(this.metrics);
  }
}

const metrics = new PerformanceMetrics();

// Hook for automatic measurement
const usePerformanceMetric = (label, dependency = []) => {
  useEffect(() => {
    metrics.startMeasurement(label);
    return () => metrics.endMeasurement(label);
  }, dependency);
};

2. Real-time Performance Monitoring

// Real-time performance monitor
class RealTimeMonitor {
  constructor() {
    this.isMonitoring = false;
    this.frameCount = 0;
    this.lastFrameTime = performance.now();
    this.fps = 0;
  }

  start() {
    if (!this.isMonitoring) {
      this.isMonitoring = true;
      this.monitorFrame();
    }
  }

  stop() {
    this.isMonitoring = false;
  }

  monitorFrame() {
    if (!this.isMonitoring) return;

    const currentTime = performance.now();
    this.frameCount++;

    if (currentTime - this.lastFrameTime >= 1000) {
      this.fps = this.frameCount;
      this.frameCount = 0;
      this.lastFrameTime = currentTime;

      // Log FPS if below threshold
      if (this.fps < 55) {
        console.warn(`Low FPS detected: ${this.fps}`);
      }
    }

    requestAnimationFrame(() => this.monitorFrame());
  }

  getCurrentFPS() {
    return this.fps;
  }
}

// Usage
const monitor = new RealTimeMonitor();

// Start monitoring in development
if (__DEV__) {
  monitor.start();
}

3. Bundle Size Analysis

// Bundle analyzer script
const fs = require("fs");
const path = require("path");

function analyzeBundleSize(bundlePath) {
  if (!fs.existsSync(bundlePath)) {
    console.error("Bundle file not found:", bundlePath);
    return;
  }

  const stats = fs.statSync(bundlePath);
  const fileSizeInBytes = stats.size;
  const fileSizeInMB = fileSizeInBytes / (1024 * 1024);

  console.log(`Bundle Size Analysis:`);
  console.log(`File: ${bundlePath}`);
  console.log(`Size: ${fileSizeInMB.toFixed(2)} MB`);

  // Warn if bundle is too large
  if (fileSizeInMB > 10) {
    console.warn(
      "⚠️ Bundle size is larger than 10MB. Consider code splitting."
    );
  }

  return {
    path: bundlePath,
    sizeBytes: fileSizeInBytes,
    sizeMB: fileSizeInMB,
  };
}

// Source map analysis
function analyzeSourceMap(sourceMapPath) {
  if (!fs.existsSync(sourceMapPath)) {
    console.error("Source map not found:", sourceMapPath);
    return;
  }

  const sourceMap = JSON.parse(fs.readFileSync(sourceMapPath, "utf8"));
  const sources = sourceMap.sources || [];

  console.log(`Source Map Analysis:`);
  console.log(`Total sources: ${sources.length}`);

  // Group by directory
  const directories = {};
  sources.forEach((source) => {
    const dir = path.dirname(source);
    directories[dir] = (directories[dir] || 0) + 1;
  });

  console.log("Sources by directory:");
  Object.entries(directories)
    .sort(([, a], [, b]) => b - a)
    .slice(0, 10)
    .forEach(([dir, count]) => {
      console.log(`  ${dir}: ${count} files`);
    });
}

Debugging Best Practices

1. Structured Logging

// Structured logging utility
const Logger = {
  levels: {
    DEBUG: 0,
    INFO: 1,
    WARN: 2,
    ERROR: 3,
  },

  currentLevel: __DEV__ ? 0 : 2,

  log(level, message, data = {}) {
    if (this.levels[level] >= this.currentLevel) {
      const timestamp = new Date().toISOString();
      const logEntry = {
        timestamp,
        level,
        message,
        ...data,
      };

      console.log(`[${timestamp}] ${level}: ${message}`, data);

      // Send to crash reporting in production
      if (!__DEV__ && level === "ERROR") {
        this.reportError(logEntry);
      }
    }
  },

  debug(message, data) {
    this.log("DEBUG", message, data);
  },

  info(message, data) {
    this.log("INFO", message, data);
  },

  warn(message, data) {
    this.log("WARN", message, data);
  },

  error(message, data) {
    this.log("ERROR", message, data);
  },

  reportError(logEntry) {
    // Implementation for crash reporting service
    // e.g., Crashlytics, Sentry, Bugsnag
  },
};

2. Development vs Production Debugging

// Environment-specific debugging configuration
const DebugConfig = {
  development: {
    enableConsoleLogging: true,
    enableNetworkLogging: true,
    enablePerformanceMonitoring: true,
    enableMemoryTracking: true,
    logLevel: "DEBUG",
  },

  staging: {
    enableConsoleLogging: true,
    enableNetworkLogging: false,
    enablePerformanceMonitoring: true,
    enableMemoryTracking: false,
    logLevel: "INFO",
  },

  production: {
    enableConsoleLogging: false,
    enableNetworkLogging: false,
    enablePerformanceMonitoring: false,
    enableMemoryTracking: false,
    logLevel: "ERROR",
  },
};

const currentConfig =
  DebugConfig[process.env.NODE_ENV] || DebugConfig.development;

// Conditional debugging
const conditionalLog = (level, message, data) => {
  if (currentConfig.enableConsoleLogging) {
    Logger[level.toLowerCase()](message, data);
  }
};

3. Automated Performance Testing

// Performance test runner
class PerformanceTestRunner {
  constructor() {
    this.tests = [];
    this.results = [];
  }

  addTest(name, testFunction, iterations = 100) {
    this.tests.push({ name, testFunction, iterations });
  }

  async runTests() {
    console.log("🧪 Running performance tests...");

    for (const test of this.tests) {
      const results = await this.runSingleTest(test);
      this.results.push(results);
    }

    this.generateReport();
  }

  async runSingleTest({ name, testFunction, iterations }) {
    const times = [];

    for (let i = 0; i < iterations; i++) {
      const startTime = performance.now();
      await testFunction();
      const endTime = performance.now();
      times.push(endTime - startTime);
    }

    const avgTime = times.reduce((sum, time) => sum + time, 0) / times.length;
    const minTime = Math.min(...times);
    const maxTime = Math.max(...times);

    return {
      name,
      iterations,
      avgTime: Number(avgTime.toFixed(2)),
      minTime: Number(minTime.toFixed(2)),
      maxTime: Number(maxTime.toFixed(2)),
    };
  }

  generateReport() {
    console.log("\n📊 Performance Test Results:");
    console.table(this.results);

    // Check for performance regressions
    this.results.forEach((result) => {
      if (result.avgTime > 100) {
        // 100ms threshold
        console.warn(
          `⚠️ Performance concern in ${result.name}: ${result.avgTime}ms average`
        );
      }
    });
  }
}

// Usage example
const testRunner = new PerformanceTestRunner();

testRunner.addTest("Heavy Computation", () => {
  // Simulate heavy computation
  let result = 0;
  for (let i = 0; i < 100000; i++) {
    result += Math.random();
  }
  return result;
});

testRunner.addTest("Array Processing", () => {
  const arr = Array.from({ length: 1000 }, (_, i) => i);
  return arr
    .map((x) => x * 2)
    .filter((x) => x % 2 === 0)
    .reduce((sum, x) => sum + x, 0);
});

// Run tests in development
if (__DEV__) {
  testRunner.runTests();
}

Crash Reporting and Analytics

1. Setting up Crash Reporting

# Install crash reporting
npm install @react-native-firebase/app @react-native-firebase/crashlytics

# For iOS
cd ios && pod install

// Crash reporting setup
import crashlytics from "@react-native-firebase/crashlytics";

// Initialize crash reporting
const initializeCrashReporting = () => {
  if (!__DEV__) {
    crashlytics().setCrashlyticsCollectionEnabled(true);
  }
};

// Custom error logging
const logError = (error, context = {}) => {
  console.error("Error logged:", error);

  if (!__DEV__) {
    crashlytics().recordError(error);
    crashlytics().setAttributes(context);
  }
};

// Non-fatal error logging
const logNonFatal = (message, context = {}) => {
  const error = new Error(message);

  if (!__DEV__) {
    crashlytics().log(message);
    crashlytics().setAttributes(context);
    crashlytics().recordError(error);
  }
};

// User identification
const setUserId = (userId) => {
  if (!__DEV__) {
    crashlytics().setUserId(userId);
  }
};

export { initializeCrashReporting, logError, logNonFatal, setUserId };

2. Performance Analytics

// Performance analytics
import analytics from "@react-native-firebase/analytics";

const PerformanceAnalytics = {
  // Track screen performance
  trackScreenPerformance: async (screenName, loadTime) => {
    if (!__DEV__) {
      await analytics().logEvent("screen_performance", {
        screen_name: screenName,
        load_time_ms: Math.round(loadTime),
      });
    }
  },

  // Track user interactions
  trackUserInteraction: async (interaction, duration) => {
    if (!__DEV__) {
      await analytics().logEvent("user_interaction", {
        interaction_type: interaction,
        duration_ms: Math.round(duration),
      });
    }
  },

  // Track API performance
  trackAPIPerformance: async (endpoint, duration, success) => {
    if (!__DEV__) {
      await analytics().logEvent("api_performance", {
        endpoint,
        duration_ms: Math.round(duration),
        success,
      });
    }
  },
};

export default PerformanceAnalytics;

Conclusion

Effective debugging and profiling are essential skills for React Native developers. By mastering the tools and techniques covered in this guide, you'll be able to:

Identify Issues Quickly: Use the right debugging tools for different types of problems
Optimize Performance: Profile your apps to find and fix bottlenecks
Prevent Regressions: Implement automated testing and monitoring
Improve User Experience: Deliver smooth, performant applications

Key Takeaways:

Use Multiple Tools: Combine different debugging tools for comprehensive analysis
Automate Monitoring: Set up automated performance tracking and crash reporting
Profile Early and Often: Make profiling part of your development workflow
Understand the Architecture: Know how React Native works to debug more effectively
Practice Structured Debugging: Use systematic approaches to identify and fix issues

Remember that debugging is an iterative process. Start with the most obvious tools and techniques, then dive deeper as needed. With practice, you'll develop an intuition for where problems might occur and how to resolve them efficiently.

Welcome to Huy Ha's zone of coding passion

Debugging and Profiling React Native Apps Effectively

Debugging and Profiling React Native Apps Effectively

Understanding React Native Architecture for Better Debugging

The Bridge

Thread Structure

Essential Debugging Tools

1. React Native Debugger

2. Metro Bundler Debugging

3. Chrome DevTools Integration

4. Reactotron

5. Flipper Integration

Performance Profiling Techniques

1. React DevTools Profiler

2. Performance Monitor

3. Memory Profiling

4. Bundle Analysis

Common Debugging Scenarios

1. JavaScript Errors and Crashes

2. Network Request Debugging

3. Performance Bottlenecks

4. Memory Leak Detection

Native Debugging

1. iOS Debugging with Xcode

2. Android Debugging with Android Studio

Advanced Profiling Techniques

1. Custom Performance Metrics

2. Real-time Performance Monitoring

3. Bundle Size Analysis

Debugging Best Practices

1. Structured Logging

2. Development vs Production Debugging

3. Automated Performance Testing

Crash Reporting and Analytics

1. Setting up Crash Reporting

2. Performance Analytics

Conclusion

Key Takeaways:

Further Resources