Codetown ::: a software developer's community
Part 1 here: https://codetown.com/group/kotlin/forum/topics/kotlin-thursdays-kot...
Welcome, all to another week of Kotlin Thursdays. In this week we are going to dive deeper into Kotlin Koans and like all koans, this one is going to get more difficult. This week we are going to cover default arguments, lambdas, strings and data classes. These koans are a great way to get into functional programming and learn about the kotlin syntax.
Within default arguments, we are going to you will see how kotlin can take declare an argument at the beginning of the function. Using this notation at the beginning of the function for some makes the code easier to read and support. Having the declarations at the top also reduces the lines of code so there is less sifting through lines. I learned how to do this type of declarations earlier and I always preferred that style.
Lambdas are still confusing to me. My first introduction into lambdas was playing with them on Amazon Web Services. I then saw that lambdas popped up in Java 7 and 8. I’m glad I can see them again here. I was a little confused about the “it” convention which confused me. When I read through the function from right to left the use of ‘it” makes perfect sense.
Strings glorious strings yes I sing this out loud often. This koan teaches us about string literals and string templates and how to use them. I weird but for some reason, this koan makes me happy. I think when I started down my Kotlin journey this is where things started making sense to me.
The last koan we explore is the data class. Within the data class koan we see some the readability of Kotlin shine. We are given a class in java and then rewriting the class in kotlin and as you might have guess writing in Kotlin is cleaner.
I hope you enjoy the Kotlin Thursdays episode!
For this walkthrough, you will need to install the EduTools plugin into IntelliJ!
https://www.jetbrains.com/help/education/install-edutools-plugin.html?section=IntelliJ%20IDEA
Here is another overview of what we are doing -
https://www.jetbrains.com/help/education/learner-start-guide.html?s...
Think of these resources as supplemental if you happen to be more curious. We always encourage looking into documentation for things you use!
Tags:
Super! Can’t wait to work through it!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Google Cloud's automated systems suspended Railway's production account without notice, triggering an eight-hour platform-wide outage affecting 3 million users. The cascade took down workloads across all providers including AWS and bare metal because Railway's control plane was hosted on GCP. Railway is demoting GCP to backup-only status.
By Steef-Jan Wiggers
The engineering team at Meta recently outlined how the company migrated a data ingestion platform that transfers several petabytes of MySQL social graph data daily to improve reliability and operational efficiency. The team used techniques like reverse shadowing and continuous checksum monitoring to ensure zero downtime during the transition.
By Renato Losio
Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.
By Mallika Rao
The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.
By Craig Risi
GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running daily “auditor” and “optimizer” agents. A token-usage.jsonl artefact and an Effective Tokens metric help track spend across models and spot regressions.
By Mark Silvester
© 2026 Created by Michael Levin.
Powered by