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React Native Best Practices

CallstackOfficialPublished by Callstack

  • Skill
  • Guidelines
  • Software development
  • MIT
  • No issues found

From the author

Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
— the description by Callstack

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to optimizing React Native applications. It focuses on critical performance metrics including FPS, Time to Interactive (TTI), bundle size, and memory management. The guide emphasizes a data-driven workflow: Measure, Optimize, Re-measure, and Validate, ensuring that performance improvements are based on actual profiling data rather than assumptions. It covers both JavaScript-level optimizations and native-level configurations, providing actionable strategies for common bottlenecks like list rendering, re-renders, and heavy native modules.

What it does

  • Provides a standardized performance measurement and optimization workflow
  • Offers specific guidance for improving FPS and reducing UI re-renders
  • Details techniques for analyzing and reducing JavaScript bundle sizes
  • Outlines strategies for optimizing TTI and native module performance
  • Includes best practices for memory leak detection and management
  • Provides a mapping of common performance problems to specific diagnostic and fix strategies

When to use it

  • When debugging janky UI, frame drops, or slow animations
  • When investigating memory leaks in JS or native code
  • When optimizing app startup time and TTI
  • When attempting to reduce the final application bundle size
  • When profiling and tuning native modules or Turbo Modules
  • During code reviews to ensure performance-conscious implementation

Advantages

  • Promotes a rigorous, evidence-based approach to performance tuning
  • Covers the full stack from React components to native bridge and bundle configuration
  • Provides clear, priority-ordered guidelines for triage
  • Includes specific diagnostic commands for profiling and bundle analysis
  • Helps avoid common pitfalls like premature optimization or incorrect dependency usage

Usage examples

“My React Native app is dropping frames during list scrolling. How should I investigate?”
The agent will guide you to use the FPS and re-render profiling workflow, suggesting the use of react-devtools to identify slow components and recommending the replacement of ScrollView with optimized alternatives like FlashList.
“How can I reduce the size of my React Native iOS bundle?”
The agent will provide steps to analyze the bundle using source-map-explorer, identify heavy dependencies, and apply optimizations such as avoiding barrel imports and enabling native code shrinking.

Install

Documentation by Callstack

React Native Best Practices

Overview

Performance optimization guide for React Native applications, covering JavaScript/React, Native (iOS/Android), and bundling optimizations. Based on Callstack's "Ultimate Guide to React Native Optimization".

When to Apply

Reference these guidelines when:

  • Debugging slow/janky UI or animations

  • Investigating memory leaks (JS or native)

  • Optimizing app startup time (TTI)

  • Reducing bundle or app size

  • Writing native modules (Turbo Modules)

  • Profiling React Native performance

  • Reviewing React Native code for performance

Security Notes

  • Treat shell commands in these references as local developer operations. Review them before running, prefer version-pinned tooling, and avoid piping remote scripts directly to a shell.

  • Treat third-party libraries and plugins as dependencies that still require normal supply-chain controls: pin versions, verify provenance, and update through your standard review process.

  • Treat remote chunk loading as first-party artifact delivery only. Prefer app-bundled chunks or signed CI release manifests; hosted chunks must come from trusted HTTPS origins you control and be pinned to the current app release.

Priority-Ordered Guidelines

PriorityCategoryImpactPrefix
1FPS & Re-rendersCRITICALjs-*
2Bundle SizeCRITICALbundle-*
3TTI OptimizationHIGHnative-*, bundle-*
4Native PerformanceHIGHnative-*
5Memory ManagementMEDIUM-HIGHjs-*, native-*
6AnimationsMEDIUMjs-*

Impact labels are triage hints: CRITICAL first, HIGH next, MEDIUM when evidence points there.

Quick Reference

Optimization Workflow

Follow this cycle for any performance issue: Measure → Optimize → Re-measure → Validate

  1. Measure: Capture baseline metrics before changes. For runtime issues, prefer commit timeline, re-render counts, slow components, heaviest-commit breakdown, and startup/TTI when available. Component tree depth or count are optional context, not substitutes. Do not recommend memoization, atomic state, or compiler changes without a measured render or FPS problem.

  2. Optimize: Apply the targeted fix from the relevant reference

  3. Re-measure: Run the same measurement to get updated metrics

  4. Validate: Confirm improvement (e.g., FPS 45→60, TTI 3.2s→1.8s, bundle 2.1MB→1.6MB)

If metrics did not improve, revert and try the next suggested fix.

Review Guardrails
  • Check library versions before suggesting API-specific fixes. Example: FlashList v2 deprecates estimatedItemSize, so do not flag it as missing there.

  • Do not suggest useMemo or useCallback dependency changes unless behavior is demonstrably incorrect or profiling shows wasted work tied to that value.

  • Do not report stale closures speculatively. Show the stale read path, a repro, or profiler evidence before calling it out.

  • When profiling a flow, measure the target interaction itself. Do not treat component tree depth or component count as the main performance evidence.

Critical: FPS & Re-renders

Profile first:

agent-device react-devtools status
agent-device react-devtools wait --connected
agent-device react-devtools profile start
agent-device react-devtools profile stop
agent-device react-devtools profile slow --limit 5
agent-device react-devtools profile rerenders --limit 5
agent-device react-devtools profile timeline --limit 20

Drive the target interaction with normal agent-device commands between profile start and profile stop.

Manual fallback when agent-device is unavailable: open React Native DevTools from Metro (j) or the Dev Menu, use the Profiler tab, and record the same interaction.

For release-build React component profiling, connect @callstack/inspector first so React DevTools can attach to the release app, then run the agent-device react-devtools flow above.

Common fixes:

  • Replace ScrollView with FlatList/FlashList/Legend List for long lists

  • After profiling shows cascading re-renders, use React Compiler for automatic memoization

  • After profiling shows broad store/context updates, use atomic state (Jotai/Zustand) to reduce re-renders

  • Use useDeferredValue for expensive computations

Critical: Bundle Size

Analyze bundle:

npx react-native bundle \
  --entry-file index.js \
  --bundle-output output.js \
  --platform ios \
  --sourcemap-output output.js.map \
  --dev false --minify true

npx source-map-explorer output.js --no-border-checks

Verify improvement after optimization:

# Record baseline size before changes
ls -lh output.js  # e.g., Before: 2.1 MB

# After applying fixes, re-bundle and compare
npx react-native bundle --entry-file index.js --bundle-output output.js \
  --platform ios --dev false --minify true
ls -lh output.js  # e.g., After: 1.6 MB  (24% reduction)

Common fixes:

  • Avoid barrel imports (import directly from source)

  • Remove unnecessary Intl polyfills only after checking Hermes API and method coverage

  • Evaluate tree shaking (Expo SDK 52+ experimental unused import/export removal, or Re.Pack only if already configured)

  • Enable R8 for Android native code shrinking

High: TTI Optimization

Measure TTI:

  • Use react-native-performance for markers

  • Only measure cold starts (exclude warm/hot/prewarm)

Common fixes:

  • For React Native 0.78 and earlier, disable Android JS bundle compression to enable Hermes mmap

  • Use native navigation (react-native-screens)

  • Preload commonly-used expensive screens before navigating to them

High: Native Performance

Profile native:

  • iOS: Xcode Instruments → Time Profiler

  • Android: Android Studio → CPU Profiler

Common fixes:

  • Use background threads for heavy native work

  • Prefer async over sync Turbo Module methods

  • Use C++ for cross-platform performance-critical code

References

Full documentation with code examples in references/:

JavaScript/React (js-*)
FileImpactDescription
js-lists-flatlist-flashlist.mdCRITICALReplace ScrollView with virtualized lists
js-profile-react.mdMEDIUMagent-device react-devtools profiling
js-measure-fps.mdHIGHFPS monitoring and measurement
js-memory-leaks.mdMEDIUMJS memory leak hunting
js-atomic-state.mdHIGHJotai/Zustand patterns
js-concurrent-react.mdHIGHuseDeferredValue, useTransition
js-react-compiler.mdHIGHAutomatic memoization
js-animations-reanimated.mdMEDIUMReanimated worklets
js-bottomsheet.mdHIGHBottom sheet optimization
js-uncontrolled-components.mdHIGHTextInput optimization
Native (native-*)
FileImpactDescription
native-turbo-modules.mdHIGHBuilding fast native modules
native-sdks-over-polyfills.mdHIGHNative vs JS libraries
native-measure-tti.mdHIGHTTI measurement setup
native-threading-model.mdHIGHTurbo Module threads
native-profiling.mdMEDIUMXcode/Android Studio profiling
native-platform-setup.mdMEDIUMiOS/Android tooling guide
native-view-flattening.mdMEDIUMView hierarchy debugging
native-memory-patterns.mdMEDIUMC++/Swift/Kotlin memory
native-memory-leaks.mdMEDIUMNative memory leak hunting
native-android-16kb-alignment.mdCRITICALThird-party library alignment for Google Play
Bundling (bundle-*)
FileImpactDescription
bundle-barrel-exports.mdCRITICALAvoid barrel imports
bundle-analyze-js.mdCRITICALJS bundle visualization
bundle-tree-shaking.mdHIGHDead code elimination
bundle-analyze-app.mdHIGHApp size analysis
bundle-r8-android.mdHIGHAndroid code shrinking
bundle-hermes-mmap.mdHIGHDisable bundle compression
bundle-native-assets.mdHIGHAsset catalog setup
bundle-library-size.mdMEDIUMEvaluate dependencies
bundle-code-splitting.mdMEDIUMRemote chunk loading safeguards

Problem → Skill Mapping

Attribution

Based on "The Ultimate Guide to React Native Optimization" by Callstack.

Files

references/native-memory-leaks.md


title: Hunt Native Memory Leaks impact: MEDIUM tags: memory, leaks, xcode, instruments, profiler

Skill: Hunt Native Memory Leaks

Find native memory leaks using Xcode Leaks and Android Studio Memory Profiler.

Quick Command

# iOS: Profile with Leaks instrument
# Xcode → Product → Profile (Cmd+I) → Leaks template

# Android: Memory Profiler
# Android Studio → Run → Profile → Track Memory Consumption

When to Use

  • App memory grows despite JS profiler showing no leaks

  • Native modules suspected of leaking

  • Activity recreation causes memory growth (Android)

  • C++/Swift/Kotlin code under investigation

iOS: Xcode Leaks

Quick Check: Memory Report
  1. Run app via Xcode

  2. Open Debug Navigator (side panel)

  3. Click Memory

  4. Watch graph for continuous growth

Deep Analysis: Instruments Leaks

Image: Xcode Instruments Templates

  1. Xcode → Product → Profile (or Cmd+I)

  2. Select Leaks template (highlighted with orange triangle icon in the grid)

  3. Click Choose

  4. Click Record (red circle)

  5. Use the app, perform suspect actions

  6. Stop recording

Analyzing Results

Red markers = Leaked memory detected

Click on leak to see:

  • Leaked Object: Type and size

  • Responsible Library: Which code leaked

  • Responsible Frame: Exact function

  • Stack Trace: Full call path (right panel)

Open the responsible frame to jump to source when symbols are available.

Common Native Leak: Missing Ownership
void createNewStrings() {
    auto str = std::make_unique<std::string>("Hello");
}

Prefer RAII/smart pointers over raw new/delete in native module code.

Android: Memory Profiler

Launch Profiler

Use Android Studio Memory Profiler and select a memory-consumption recording for the target process.

Recording
  1. Start the app

  2. Perform actions that might leak

  3. Watch memory graph for growth patterns

Analyzing Allocations

Memory profiler shows:

  • Allocations count: Objects created

  • Deallocations count: Objects freed

  • Live objects: Still in memory

If allocations greatly exceed deallocations after GC and after repeating the same flow, suspect a leak; confirm via retained objects, references, and lifecycle expectations.

LeakCanary (Android JVM Leaks)

Use LeakCanary as a debug-only first line of defense for Android JVM leaks such as retained Activity/Context references, listeners, and coroutines that outlive a module. It does not see JS heap leaks or JSI/C++ Turbo Module leaks and can report React Native framework false positives.

Common Android Leak: Listener Not Removed
// BAD: Leaks MainActivity on config change
class MainActivity : AppCompatActivity(), Callback {
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        EventManager.addListener(this)
        // Never removed!
    }
}

// GOOD: Remove listener
class MainActivity : AppCompatActivity(), Callback {
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        EventManager.addListener(this)
    }
    
    override fun onDestroy() {
        EventManager.removeListener(this)
        super.onDestroy()
    }
}
Activity Recreation Test

Repeat navigation and configuration-change flows, then check whether old activities or module instances are retained after GC.

React Native note: RN opts out via android:configChanges in manifest, but native code might not.

Use agent-device to repeat rotation/navigation scenarios, capture snapshots/screenshots, and collect device evidence. If it is missing and device verification is needed, install it through the environment's approved/trusted path or ask the user to install or enable it. Read the agent-device skill or CLI help when available before writing exact commands.

Debugging Workflow

iOS
  1. Profile with Instruments Leaks

  2. Trigger suspect actions repeatedly

  3. Wait for red leak markers

  4. Click to identify responsible frame

  5. Fix and re-test

Android
  1. Profile memory consumption

  2. Trigger suspect actions (rotate, navigate)

  3. Check allocation/deallocation counts

  4. Look for classes with 0 deallocations

  5. Fix and re-test

Code Fixes by Pattern

Reference Cycle (Swift)
// BAD
class Parent {
    var child: Child?
}
class Child {
    var parent: Parent?  // Strong reference cycle
}

// GOOD
class Parent {
    var child: Child?
}
class Child {
    weak var parent: Parent?  // Weak breaks cycle
}
Missing Cleanup (C++)
// BAD
void process() {
    auto* data = new LargeData();
    if (error) return;  // Leak!
    delete data;
}

// GOOD: RAII with unique_ptr
void process() {
    auto data = std::make_unique<LargeData>();
    if (error) return;  // Automatically cleaned up
}

Verification

After fixing:

  1. Re-run profiler

  2. Perform same actions

  3. Verify:

    • iOS: No red leak markers

    • Android: Allocations return to a stable baseline after GC and repeated flows

Common Pitfalls

  • Testing in debug mode: Some leaks only appear in release

  • Not waiting for GC: Force GC before concluding no leak

  • Ignoring small leaks: They add up over time

  • Missing cleanup in invalidate(): Turbo Modules need proper cleanup

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Callstack
Publisher
Callstack (Official)
Source
callstackincubator/agent-skills · skills/react-native-best-practices · commit 59e9d17
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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