Wrapping up Firebase JS Promises with Coroutines & Flow

Apr 14, 2021
Firebase Realtime DB

A Promise is the way you traditionally deal with asynchronous requests in the Javascript world.

With Kotlin-JS, here is how you would typically load an entry, using only the Firebase Javascript APIs:

fun example(database:Database) {
        .then { snap ->
            val customer = snap.`val`().unsafeCast<Customer>()
            logI("value: %o", customer)
        .catch { throwable ->
            logE("Caught error: %o", throwable)

This works fine™. The problem with Promises is that they are specific to Javascript. If we hope to graduate to a Kotlin Multi-Platform setup one day, we can’t rely too much on them.

Thankfully, we can use Kotlin coroutines and the Flow API to make Firebase’s callback-based APIs easier to use.

Building a Back Office with Kotlin JS & Firebase

Mar 25, 2021
Now legitimately an entrepreneur!

I’ve recently decided to invest in a small local company with a good college buddy of mine. The company rents out containers for construction & demolition waste pickups and offers a junk removal service.

Now, when my friend bought the company a couple of years back, it was a mom-and-pop shop. The company back office he inherited was a bunch of Google Sheets, involving many manual entries with a copious amount of copy-pasta.

It worked “fine”, but the company’s day-to-day administration quickly got tedious with those kinds of tools, as you can imagine. Since my primary expertise is developing software, my role in the company will be to build a better back-office.

Enter: Kotlin-JS & Firebase

DIY Reactive Model Store using RxJava

May 5, 2019

In the last few years on Android, we’ve seen an explosion of architectures based on the idea of a unidirectional data flow.

I was first exposed to this idea while working on an MVI-based app using RxJava. One of the key concepts in MVI is to cleanly manage changes to your application state. The Model Store pattern is key in achieving this.