A powerful yet simple feature in C#, enums often go underappreciated. They provide a way to assign meaningful names to numeric constants, making your code more readable and easier to maintain. Whether you’re a beginner or a seasoned developer, understanding enums and applying best practices can elevate your C# programming skills.

Debugging is a vital part of software development, ensuring that code behaves as intended, identifying errors early, and preventing small fixes from escalating into larger problems. Developers risk releasing unreliable, inefficient, or even unusable code without proper debugging techniques. This tutorial covers the fundamentals of Python’s assert statement, practical ways to use assertions for testing and debugging, and best practices for using assertions effectively while avoiding common pitfalls.

When it comes to creating loops in programming, the C# language offers plenty of options: while, do-while, for, foreach, and even the ForEach() method of the List class. Among all of those, the C# foreach loop is arguably the most popular one, at least when it comes to iterating through the items of a collection. Using this language construct is quite intuitive, but do you really understand how it works?

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.