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Simplifying Application Development with Kotlin Multiplatform Mobile

You're reading from   Simplifying Application Development with Kotlin Multiplatform Mobile Write robust native applications for iOS and Android efficiently

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801812580
Length 184 pages
Edition 1st Edition
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Author (1):
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Robert Nagy Robert Nagy
Author Profile Icon Robert Nagy
Robert Nagy
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Table of Contents (15) Chapters Close

Preface 1. Section 1 - Getting Started with Multiplatform Mobile Development Using Kotlin
2. Chapter 1: The Battle Between Native, Cross-Platform, and Multiplatform FREE CHAPTER 3. Chapter 2: Exploring the Three Compilers of Kotlin Multiplatform 4. Chapter 3: Introducing Kotlin for Swift Developers 5. Section 2 - Code Sharing between Android and iOS
6. Chapter 4: Introducing the KMM Learning Project 7. Chapter 5: Writing Shared Code 8. Chapter 6: Writing the Android Consumer App 9. Chapter 7: Writing an iOS Consumer App 10. Section 3 - Supercharging Yourself for the Next Steps
11. Chapter 8: Exploring Tips and Best Practices 12. Chapter 9: Integrating KMM into Existing Android and iOS Apps 13. Chapter 10: Summary and Your Next Steps 14. Other Books You May Enjoy

App size best practices

Many people are interested in how big of an impact shared KMP code can have on their iOS app's size. This will depend on what kind of logic it contains and what third parties your KMP code uses.

Generally speaking, since Kotlin and Swift are both fairly static languages, there is not much difference between the binary size of a Kotlin class and a Swift class. So, what's the catch?

As you may recall from Chapter 2, Exploring the Three Compilers of Kotlin Multiplatform, we discussed how your Obj-C/Swift code can see this native output of the Kotlin/Native compiler by generating Obj-C adapters. Since Obj-C is a more dynamic language, it negatively impacts binary size.

So, what can you do to manage binary size? The simple answer is to limit how many Obj-C adapters you use. How? Mark everything that you don't need to expose through your shared code as internal.

If you notice that your binary size has increased in a non-linear, exponential...

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