MOTOSHARE 🚗🏍️
Turning Idle Vehicles into Shared Rides & Earnings

From Idle to Income. From Parked to Purpose.
Earn by Sharing, Ride by Renting.
Where Owners Earn, Riders Move.
Owners Earn. Riders Move. Motoshare Connects.

With Motoshare, every parked vehicle finds a purpose. Owners earn. Renters ride.
🚀 Everyone wins.

Start Your Journey with Motoshare

Module was compiled with an incompatible version of Kotlin. The binary version of its metadata is 1.5.1, expected version is 1.1.15

The error message “Module was compiled with an incompatible version of Kotlin. The binary version of its metadata is 1.5.1, expected version is 1.1.15” typically occurs when there is a version mismatch between the Kotlin compiler used during the build process and the Kotlin runtime version used at runtime.

This error often happens when you are using a library or module that was compiled with a newer version of Kotlin than the one specified in your project’s dependencies.

Update the Kotlin version specified in your project to match the version used during the compilation of the library or module. Open your build.gradle file and find the kotlin block. Update the version to match the expected version (in this case, 1.5.1).

For example:

buildscript {
    ext.kotlin_version = '1.5.1'
    // ...
}

After updating the Kotlin version, clean and rebuild your project to ensure that the changes take effect.

If you are using any third-party libraries or modules, ensure that they are compatible with the Kotlin version you have updated to. Check their documentation or GitHub repository for compatibility information.

If you are using any plugins or extensions in your project, ensure that they are compatible with the updated Kotlin version. Some plugins might require specific Kotlin versions to work correctly.

Ensure that there are no conflicting Kotlin versions in your project. Sometimes, having multiple Kotlin versions from different dependencies can cause conflicts. Use the ./gradlew app:dependencies command in your project’s root directory to check the dependency tree and verify if there are any duplicate Kotlin dependencies.

If the error persists, try invalidating caches and restarting Android Studio. Go to File -> Invalidate Caches / Restart and choose “Invalidate and Restart.”

Make sure you have the latest version of the Kotlin plugin installed in Android Studio. Go to Preferences/Settings -> Plugins -> Kotlin and update it if necessary.

If the error is coming from an external library, check if there is an updated version of that library that is compatible with the Kotlin version you are using.

Changing this in file build.gradle

From

ext.kotlin_version = '1.3.50'

to

ext.kotlin_version = '1.6.0'

 The latest version of Kotlin available and make sure to update Kotlin version on Android Studio as well.

Related Posts

Master in JavaScript with AngularJS and NodeJS for DevOps

Introduction: Problem, Context & Outcome In modern software development, many teams struggle to deliver dynamic web applications efficiently. Traditional development approaches often result in slow releases, fragmented…

Master in Java with Springboot for Modern Microservices

Introduction: Problem, Context & Outcome Modern software teams are under constant pressure to deliver features faster while keeping applications stable, secure, and scalable. Many engineers struggle with…

Master Golang with Gin for High Performance APIs

Introduction: Problem, Context & Outcome Modern software teams are under constant pressure to build fast, scalable, and reliable backend services. Many engineers struggle with slow application performance,…

Become a GitLab Expert for Modern DevOps Teams

Introduction: Problem, Context & Outcome In today’s fast-paced software development environment, teams are under constant pressure to deliver high-quality applications quickly and efficiently. Traditional software delivery practices…

Become a DevOps Engineer: Skills, Tools, Roadmap

Introduction: Problem, Context & Outcome Modern engineering teams are pushed to release faster, but many still depend on manual deployment steps, unclear handoffs, and environments that behave…

Become Deep Learning Ready: Comprehensive Guide for DevOps

Introduction: Problem, Context & Outcome In the age of artificial intelligence and big data, the demand for professionals who can design and implement cutting-edge machine learning models…

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x