The Pipeline pattern is a powerful tool in programming. The idea is to chain a group of functions in a way that the output of each function is the input the next one. The concept is pretty similar to an assembly line where each step manipulates and prepares the product for the next step.
LINQ is terrible to debug. We have no way of knowing what goes on inside that query. We can see the input, we can see the output, but that’s about it. What happens when something goes wrong? Do we just stare at the code, trying to get some kind of insight? There’s got to be a better way…
One of the most commonly used patterns in software development is Caching. It’s a simple, yet extremely effective concept. The idea is reuse of results. When performing a heavy operation, we will save the result in said cache
How many times did you use a desktop application to end up with a frozen unresponsive window? This article is about what we are to do when our .NET application freezes. We’re going to explore tools and debugging techniques to see where the program is stuck and to find the core cause of the issue.