Translating Java to Kotlin at Scale

Meta has been on a years-long undertaking to translate our entire Android codebase from Java to Kotlin. Today, despite having one of the largest Android codebases in the world, we’re well pas…

Jocelyn Luizzi
16 min readadvanced
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Overview

Meta is undertaking a significant project to translate its extensive Android codebase from Java to Kotlin, aiming to improve developer productivity and null safety. The article discusses the challenges faced, the automation tools developed, and the collaborative efforts with other companies to enhance the migration process.

What You'll Learn

1

How to automate the Java to Kotlin translation process using custom tools

2

Why null safety is crucial when migrating from Java to Kotlin

3

When to apply custom preprocessing and postprocessing steps during conversion

Prerequisites & Requirements

  • Understanding of Kotlin and Java programming languages
  • Familiarity with IntelliJ IDE and its plugins(optional)

Key Questions Answered

What challenges does Meta face in translating Java to Kotlin?
Meta faces several challenges in translating its Java codebase to Kotlin, including slow build speeds, insufficient linters, and the complexity of managing a mixed codebase. These issues necessitate the development of custom tools and processes to automate the translation while minimizing disruption to developers' workflows.
How does the Kotlinator tool automate the translation process?
The Kotlinator automates the translation process through a six-phase workflow that includes deep builds, preprocessing, headless J2K execution, postprocessing, linters, and build error-based fixes. This structured approach allows for efficient and effective conversion of Java code to Kotlin while addressing common issues encountered during migration.
Why is null safety important in the migration process?
Null safety is crucial in the migration process to prevent null pointer exceptions (NPEs) that can arise from translating Java code. Ensuring that the code is null safe before conversion helps to mitigate risks associated with dereferencing null values, which is a common source of runtime errors in Java applications.
What are the benefits of translating all actively developed code to Kotlin?
Translating all actively developed code to Kotlin maximizes developer productivity and enhances null safety. By addressing all code in the dependency graph, Meta aims to reduce the chaos introduced by remaining Java code, which can lead to nullability issues and slower build speeds when mixed with Kotlin code.

Key Statistics & Figures

Lines of Java code translated to Kotlin
over ten million
Meta is translating its extensive Android codebase, which includes one of the largest Android codebases in the world.
Phases in the Kotlinator tool
six
The Kotlinator consists of six phases designed to automate the translation process effectively.
Steps in preprocessing phase
about 50
The preprocessing phase includes around 50 steps to handle nullability and other custom changes.
Steps in postprocessing phase
about 150
The postprocessing phase consists of approximately 150 steps for Android-specific changes and further nullability adjustments.

Technologies & Tools

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Key Actionable Insights

1
Automate the translation process to improve efficiency and reduce developer workload.
By implementing tools like the Kotlinator, teams can streamline the migration from Java to Kotlin, allowing developers to focus on more critical tasks rather than repetitive translation efforts.
2
Prioritize actively developed files for translation to maximize productivity gains.
Focusing on files that are actively maintained ensures that the most critical parts of the codebase benefit from Kotlin's features, leading to better overall performance and maintainability.
3
Implement thorough null safety checks before and during the translation process.
Ensuring that Java code is null safe helps to minimize the introduction of null pointer exceptions in the Kotlin code, which can lead to significant runtime issues if not addressed.

Common Pitfalls

1
Confusing initialization with getters can lead to incorrect Kotlin code.
This mistake occurs when developers do not correctly differentiate between property initialization and getter methods, which can result in runtime errors.
2
Improper handling of nullable booleans can introduce logical errors.
This happens when developers misinterpret the conditions for checking nullability, leading to unexpected behavior in the application.

Related Concepts

Null Safety In Programming
Kotlin Language Features
Java To Kotlin Migration Strategies