kotlin VS Spring Boot

### Curated list of people blogging and vlogging about Kotlin (with links) - Roman Elizarov — https://medium.com/@elizarov - Jake Wharton — https://jakewharton.com/ - Marcin Moskala (Kotlin Academy) — https://blog.kotlin-academy.com/ - Gábor Varadi (Zhuinden) — https://zhuinden.medium.com/ - Antonio Leiva — https://antonioleiva.com/ • YouTube: https://www.youtube.com/@AntonioLeiva - Donn Felker — https://www.donnfelker.com/ - Kaushik Gopal — https://kaush.co/ - Nate Ebel (Goobar) — YouTube: https://www.youtube.com/@Goobar - Rahul Pandey — YouTube: https://www.youtube.com/@rahulpn7 - Philipp Lackner — YouTube: https://www.youtube.com/@PhilippLackner • Site: https://pl-coding.com/ - Stevdza-San — YouTube: https://www.youtube.com/@StevdzaSan - Reso Coder — https://resocoder.com/ • YouTube: https://www.youtube.com/@ResoCoder - Code With Mitch (Mitch Tabian) — https://codewithmitch.com/ • YouTube: https://www.youtube.com/@mitchtabian - Igor Wojda — https://medium.com/@igorwojda - Alexey Soshin — https://soshin.dev/ - Kevin Galligan — https://kevingalligan.com/ • Company blog: https://touchlab.co/blog - John O’Reilly — https://johnoreilly.dev/ - Rick Clephas — https://rickclephas.com/ - Arkadii Ivanov — https://arkivanov.github.io/ ### Official channels and team sources (Kotlin-heavy) - Kotlin by JetBrains (talks, news) — YouTube: https://www.youtube.com/@Kotlin - JetBrains Kotlin Blog — https://blog.jetbrains.com/kotlin/ - Kotlinlang Blog — https://kotlinlang.org/blog - Talking Kotlin (podcast) — https://kotlinlang.org/podcast - Android Developers (Kotlin-first Android) — Blog: https://android-developers.googleblog.com • YouTube: https://www.youtube.com/c/AndroidDevelopers

All code examples in this article are written in Kotlin, leveraging its concise syntax, null safety, and seamless Java interoperability. Kotlin's expressive language features make the implementation more readable and maintainable compared to traditional Java approaches, while providing full compatibility with the Spring Boot ecosystem.

I've never heard of language lock in. The source is here: https://github.com/JetBrains/kotlin

Come in; the water is fine.

Doodle helps you create beautiful, modern apps entirely in Kotlin. Its render model is intuitive yet powerful, making it easy to achieve complex UIs with pixel level precision and layouts. This simplicity and power applies to everything from user input to drag and drop. Doodle lets you build and animate anything.

5. Kotlin: The Modern Java Alternative

Kotlin Official Website

Kotlin Official Website: Your one-stop shop for all things Kotlin, with comprehensive documentation, tutorials, and resources: https://kotlinlang.org/

Next, I selected the technologies and frameworks I want to focus on during this challenge. For frontend development, I'll be exploring Reactjs, Vue.js, Bootstrap, Next.js, and MUI. For backend development, I'll be diving into Express, Django, Node.js, PHP, and Firebase. Additionally, I'll be learning Kotlin, React Native, and Flutter for mobile development, and APIs, PostgreSQL, Cloud, and MongoDB for full stack projects.

When I started developing LangGraph4j, I tried to replicate my Python development ecosystem in Java. So I've experimented with the Java Notebooks through the rapaio-jupyter-kernel project, which allowed me to replicate the development experience I had with Jupyter Notebooks in Python quite well. For rapid prototyping, I relied almost entirely on Spring Boot framework, which is a fairly fast and enjoyable programming experience.

Spring Boot is a framework for efficiently building production-level Java apps. It builds on top of the Spring framework by offering out-of-the-box configuration and setup. It allows developers to build and deploy enterprise microservices and APIs with minimal tweaking required.

Recommended resource: Spring Boot for Microservices

Spring Boot 3.4.0 RC1 release doc : List of accepted values for spring.http.client.factory properties

Spring Boot official docs still one of the best ways to build modern Java apps.

Conform to the OpenTelemetry spec since Spring Boot 3.5. Before it, it used spring.application.name

Java + Spring Boot (enterprise-grade, but heavier setup)

Performance optimization in Spring Boot applications often requires deep visibility into database interactions. While traditional logging provides basic SQL query information, it frequently lacks the crucial context of where these queries originate in your codebase. This is especially important with lazy loading of Hibernate entities, where queries can be triggered unexpectedly throughout the application lifecycle. This article demonstrates how to implement a sophisticated logging solution that captures SQL execution stack traces, enabling developers to quickly identify and resolve performance bottlenecks.

An application based on Spring Boot and Spring AI is developed to automate auditing.

You can use Spring Boot's official archetype or simply use the spring-boot-starter-parent and manually add dependencies.