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.
Thoughtworks consultants successfully harnessed generative AI to decode legacy systems lacking source code. Using Gemini 2.5 Pro, they accelerated reverse engineering, creating validated "blueprints" of functionality in just two weeks. The pilot showcased AI's potential to drastically reduce time and risk in modernizing opaque systems while balancing speed with validation.
By Matt FosterThe Model Context Protocol (MCP) ecosystem is enhancing AI development with a public registry for server discovery and a secure gateway for agent interactions. This initiative, featuring the recently launched MCP Registry and the Linux Foundation's Agentgateway project, streamlines the management of AI tools, fostering collaboration and security for engineering teams.
By Andrew HoblitzellJonathan Lowe explains how to connect an LLM directly to a structured graph database using a rapid prototype. He demonstrates how to use sentence embeddings and semantic search to allow natural language queries to retrieve and analyze structured data. This approach enables a local LLM to answer complex questions by leveraging the relationships within a knowledge graph.
By Jonathan LowePinterest has introduced PinConsole, a unified internal developer platform (IDP) that centralizes engineering workflows. Built to address fragmented tools for deployment, monitoring, and service management, PinConsole provides a consistent layer that lets engineers focus on business logic instead of infrastructure complexity.
By Leela KumiliLinkedIn extended its generative AI application platform to support multi-agent systems by repurposing its existing messaging infrastructure as an orchestration layer. This allowed the company to scale AI agents without building new coordination technology from scratch and achieve global availability while supporting complex multi-step workflows through agent coordination.
By Eran Stiller
© 2025 Created by Michael Levin.
Powered by