I’ve been using KeePassXC as my password manager for many years now. Here are my tips and recommendations to get the most out of KeePassXC.

There are some principles in software development that I always try to keep in mind. They guide me when I’m in danger of heading in the wrong direction. That’s why I printed those principles and hung them on a wall in our office. In this post, I share this subjective set of quotes with you. There is also a PDF for download available.

Maintainable and readable test code is crucial to establish a good test coverage which in turn enables implementing new features and performing refactorings without the fear of breaking something. This post contains many best practices that I collected over the years of writing unit tests and integration tests in Java. It involves modern technologies like JUnit5, AssertJ, Testcontainers, and Kotlin. Some recommendations might be obvious to you, but some might conflict with what you’ve read in books about software development and testing.

MongoDB’s dynamic schema is powerful and challenging at the same time. In Java, a common approach is to use an object-document mapper to make the schema explicit in the application layer. Kotlin takes this approach even further by providing additional safety and conciseness. This post shows how the development with MongoDB can benefit from Kotlin and which patterns turned out to be useful in practice. We’ll also cover best practices for coding and schema design.

Unit Testing in Kotlin is fun and tricky at the same time. We can benefit a lot from Kotlin’s powerful language features to write readable and concise unit tests. But in order to write idiomatic Kotlin test code in the first place, there is a certain test setup required. This post contains best practices and guidelines to write unit test code in Kotlin that is idiomatic, readable, concise and produces reasonable failure messages.

With Kotlin we can write code that is easy to understand, short, expressive and safe. Sounds like clean code, doesn’t it? In this post, I go through some recommendations and principles of clean code and consider if Kotlin can help to fulfill this rules or not. Moreover, I show restrictions and points, where we should be careful. At the end, I discuss if Kotlin leads to “a dark or a bright path”.

In order to take full advantage of Kotlin, we have to revisit some best practices we got used to in Java. Many of them can be replaced with better alternatives that are provided by Kotlin. Let’s see how we can write idiomatic Kotlin code and do things the Kotlin way.

Testing RESTful Web Services can be cumbersome because you have to deal with low-level concerns which can make your tests verbose, hard to read and to maintain. Fortunately, there are libraries and best practices helping you to keep your integration tests concise, clean, decoupled and maintainable. This post covers those best practices.

Designing HTTP and RESTful APIs can be tricky as there is no official and enforced standard. Basically, there are many ways of implementing an API but some of them have proven in practice and are widley adopted. This post covers best practices for building HTTP and RESTful APIs. We’ll talk about URL structure, HTTP methods, creating and updating resources, designing relationships, payload formats, pagination, versioning and many more.