kotlin-result VS reactor-core

Author here. I have no idea what you could possibly mean with this comment. The coroutineBinding implementation correctly uses the coroutines API for parallel decomposition of Result bindings, exactly how the Kotlin Corotines guide tells you to (backed by a [Mutex](https://github.com/michaelbull/kotlin-result/blob/master/kot...)). The coroutineBinding isn't even the main selling point of the library, you can use it without using this feature entirely.

Please could you elaborate on what "looking thread safe" means to you? The only portion of the library that supports concurrency *is* thread safe - the unit tests prove it and the use of concurrency primitives such as Kotlin's Mutex are indicative of this. I truly have no idea how you've judged the entirely of the lbirary on whether it's "thread safe" when there is a single function that's related to concurrency and it is very clearly using concurrency primitives.

Sealed classes in combination with a library like https://github.com/michaelbull/kotlin-result will get you what you need. Essentially at that point you'll be doing error handling the way you would in Rust, where a 1-level deep sealed class containing data classes as children act as the root error type and each of its variants. If you have errors coming from two different domains you just create a wrapper error type for each domain.

This is a great result lib: https://github.com/michaelbull/kotlin-result

Lastly I do not like kotlin's Result and we use the kotlin-result library which is more expressive and not tied to Throwable (similar to Arrow's Either).

In my own code, I started to use explicit error handling. I'm currently experimenting with Result (from https://github.com/michaelbull/kotlin-result) and Raise (from https://arrow-kt.io/).

un-related to multiplatform i've found it extremely helpful to wrap things in a Result type. If something can throw an error, it get's a Result return type. It sounds like that would help your use case too. The built in Result may be useful too

This is a better impl.

Using a result type can help to differentiate quite nicely. https://github.com/michaelbull/kotlin-result

kotlin-result

I was exploring reactive streams with project reactor and I encountered a use case where I needed to skip to the next event if an error occurred during the processing of the current event (e.g. deserialization issue).

Kotlin also has a construct for asynchronous collections/streams. Kotlin's version of AsyncSequence is called a Flow. Just as Swift's AsyncSequence builds upon prior experience with RxSwift and Combine, Kotlin's Flow APIs build upon earlier stream/collection APIs in the JVM ecosystem: Java's RxJava, Java8 Streams, Project Reactor, and Scala's Akka.

Java's projectreactor.io ? It is widely used in Java world, see Spring WebFlux.

I guess more a closer comparison would be with the Project Reactor https://projectreactor.io/ which is also a low level framework for data processing.

Spring Framework is one of the most popular choices for web applications. It comes with a great ecosystem, tooling, and support. Spring applications are mainly written in Java. While they can serve quite well in many different domains and use cases, they may not be a good fit for modern-day applications which require low-latency and high-throughput. This is where the reactive programming paradigm could help because the paradigm is designed to address these issues by its non-blocking nature. Spring already supports reactive programming via Project Reactor.

The reactive streams API provides the specification for non-blocking async streams processing with back pressure mechanism, and Project Reactor is an implementation written in java.

https://projectreactor.io/ https://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html https://rxjs.dev/ https://developer.android.com/kotlin/coroutines https://developer.apple.com/documentation/combine

With respect to Loom, it could be much easier for synchronous and reactive code to interoperate using schedulers that take advantage of Loom. The impact of Loom on Project Reactor was discussed in #3084, you might find it interesting.