The C# list offers a powerful, flexible, and intuitive way to work with collections in C#. That’s probably why it’s one of the most well-known and popular ways in C# to handle multiple values. However, many C# developers barely scratch the surface of what there is to know about this important C# class. As it turns out, there are significant performance and thread-safety implications when using lists.

Java and Kotlin have been at the forefront for Android development and beyond. Java, a very reliable language with over two decades of dominance, has shaped the foundation of countless software applications and systems. Kotlin, on the other hand, is a newer language designed to improve upon Java, offering modern syntax, enhanced safety, and greater developer productivity. But how do these languages compare in terms of features, performance, use cases, and community support?

Today we’re going to be talking about Strings in Java. If you write Java often, you know that a String is considered a first-class object, even though it is not one of the eight primitive types. What you may not know is how to handle Strings in production applications best. From handling internationalization and localization to optimizing performance for large-scale applications, understanding how to work with Strings can significantly improve code quality and maintainability.

One of the most well-known design patterns, singleton ensures the existence of a single instance of a given class during the life of an application. What makes this pattern important and useful? Moreover, what is a design pattern? How do they work? How and when should I use singleton? These questions, plus use cases and examples are covered in detail in this detailed guide.

If you have ever come across code that was challenging to expand or maintain, you are not alone. Every developer deals with the difficulty of reviewing old code, which seems like a complicated puzzle. SOLID principles are a useful collection of rules designed to assist you in writing code that is clearer and easier to maintain, instead of just theoretical ideas. Following these guidelines makes your C# applications less subject to errors and easier to maintain.

We talked a bit about the Software Development Life Cycle (SDLC) in a recent post, but today, we’re going to dig a little deeper into one particular and crucial element in the testing phase, particularly for Agile development: regression testing.

You might have noticed that your Java program appears slow when handling several tasks at once. Multithreading can help in this situation! Performing operations in a sequential manner is not only inefficient but also a lost opportunity in the world of multi-core processors and advanced software. With multithreading, Java applications can manage several tasks at once, which improves responsiveness and efficiency.

It would be amazing if everything in the digital world happened instantly. Unfortunately, we don’t live in an ideal world, and most of the time we need to wait for things to happen. From loading a dynamic web page to processing data, even the best implementations can have delays. Some delays happen because of the time it takes to process and transfer data. Other delays are intentional and enable applications to present visuals or data more elegantly.

By 1996, developers had already made Java popular for its friendly APIs and automated Garbage Collection, and they started using it widely in back-end systems. One problem, however, was that most of these systems needed the same set of standard capabilities – such as persistence, transaction integrity, and concurrency control – which the JDK lacked at that time. That, naturally, led to many home-grown, closed implementations.

The Java Map interface is a powerful data structure for handling key-value pairs. Present in the java.util package, it’s ideal for managing data associations where each key maps to a specific value. Common use cases include counting occurrences (e.g., word frequency in text), grouping data (e.g., products by category), or accessing items by specific identifiers (e.g., user IDs).