The Kotlin team has always relied on feedback from the community for making decisions about the future of the technology. You will always be our go-to people who know best how to make Kotlin even more enjoyable to work with! This past November, we conducted our first-ever Kotlin Multiplatform survey with the goal of understanding how the recent changes in the technology have shaped the ways developers use it. This initiative was well received by the community, resulting in an astonishing 1163 replies and 614 fully filled-out surveys, which are the basis for this report. We want to say thank yo

Like most startups, at the beginning of its journey Faire was looking for an efficient solution to base its tech stack on. Here is their story of starting with Java and migrating to Kotlin in a year.

You can understand a lot about data from metrics, checks, and basic statistics. However, as humans, we grasp trends and patterns way quicker when we see them with our own eyes. If there was ever a moment you wished you could easily and quickly visualize your data, and you were not sure how to do it in Kotlin, this post is for you! Today I’d like to talk to you about Lets-Plot for Kotlin, an open-source plotting library for statistical data written entirely in Kotlin. You’ll learn about its API, the kinds of plots you can build with it, and what makes this library unique. Let’s start with the

Expedia adopted Kotlin because of its null-safety compiler guarantees, the conciseness of the language, and its full Java interoperability. Interoperability with Java made a gradual Kotlin integration possible without having to fully rewrite applications.

We’ve changed the release cycle of the Kotlin plugin, so that all major updates are now synced with IntelliJ IDEA releases. In this release: Inline refactoring is now cross-language: you can apply it to any Kotlin elements defined in Java and the conversion will be performed automatically. Now you can search and replace parts of your code based on its structure. Building performant and beautiful user interfaces is now easy with the new experimental Jetpack Compose templates. New infrastructure and release cycle We now ship new versions of the Kotlin plugin with every release of the Intell

Hi folks! Today we would like to share with you the first preview of KotlinDL (v.0.1.0), a high-level Deep Learning framework written in Kotlin and inspired by Keras. It offers simple APIs for building, training, and deploying deep learning models in a JVM environment. High-level APIs and sensible defaults for many parameters make it easy to get started with KotlinDL. You can create and train your first simple neural network with only a few lines of Kotlin code: private val model = Sequential.of( Input(28, 28, 1), Flatten(), Dense(300), Dense(100), Dense(10) ) f

We’re revamping our Kotlin documentation to bring you more helpful features and improve your user experience. To name just a few advantages, the new Kotlin documentation: Is mobile friendly. Has a completely new look and improved structure. Provides easy navigation on each page. Lets you share feedback on every page. Lets you copy code with a single click. More features such as dark theme support are coming soon. Before going to production and deprecating the current version of the documentation, we want to ensure that we haven’t missed any critical issues. We’d be extremely grateful if you

DoorDash uses Kotlin for all their backend services and infrastructure. Hundreds of engineers work with Kotlin across a massive system spanning multiple repos. Two years ago, they made the bold move to split their existing legacy Python monolith into multiple backend services, which they developed in Kotlin. This upgrade resulted in tremendous improvements: Better software performance. Сleaner code. Easier code reviews. Another great thing about Kotlin is that people coming from Java, Golang, and Python find it really easy to get started. Kotlin is an excellent choice for server-side appl

Just one month ago, we released Jetpack Compose for Desktop Milestone 1, the first public iteration of our modern declarative UI framework. We were delighted about how the Kotlin community has embraced Compose for Desktop. It was awe-inspiring to see people bring their Android apps to the desktop, re-implement the user interfaces of famous applications, and bring entirely new experiences to life with Compose for Desktop. Visit the Compose for Desktop landing page Since then, we have been hard at work to bring you the next version. Today we’re publishing Compose for Desktop Milestone 2, dedica

GitLive uses Kotlin Multiplatform to share code between IDE plugins (for all JetBrains IDEs and VSCode), as well as soon-to-be-released mobile applications for iOS and Android. A team of 5 working on the project have written over 12k lines of Kotlin code as a shared library used by 4 different platforms: Android, iOS, JVM and Node.JS. This shared library represents 75-85% of the total code written for each platform (the other 15-25% being platform specific, mostly UI code). As a result: Time to market is reduced because there’s less code and fewer bugs, and because code maintenance is simplif

Kotlin is becoming a language of choice for server-side application development. Null safety, 100% Java interoperability, coroutines, and many other features make Kotlin ideal for backend programming. We’re launching a series of webinars to help you to learn more about backend development with Kotlin or even try it for the first time. In the next few weeks, speakers from JetBrains, Google, and Confluent will cover three essential topics of backend development: event stream management with Kafka, running applications in the cloud, and backends with Spring Boot. Kotlin and Apache Kafka The

Kotlin 1.4.20 is here with new experimental features for you to try. Being open to community feedback is one of the Kotlin team’s basic principles, and we need your thoughts about the prototypes of the new features. Give them a try and share your feedback on Slack (get an invite here) or YouTrack. Here are some of the key highlights: Support for new JVM features, like string concatenation via invokedynamic. Improved performance and exception handling for KMM projects. Extensions for JDK Path: Path("dir") / "file.txt". We are also shipping numerous fixes and improvements