In this post, I demonstrate how to analyse a .NET solution using the Roslyn APIs and aMsBuildWorkspace.
This post is my contribution to the .NET Advent calendar. Make sure you check out the other amazing posts on the lead up to Christmas! At the time of writing, I am deep into work on some significant changes in the Elasticsearch .NET client. One of the changes is moving to System.Text.Json as the default […]
In my daily work, I’m becoming quite familiar with the ins and outs of using System.Text.Json. For those unfamiliar with this library, it was released along with .NET Core 3.0 as an in-the-box JSON serialisation library. At its release, System.Text.Json was pretty basic in its feature set, designed primarily for ASP.NET Core scenarios to handle […]
Part Three: How Appending Works and the StringBuilder Expands So far in this series, we’ve learned when we should consider using StringBuilder in our code and learned about the memory overhead of using a StringBuilder. It’s now time to learn how the StringBuilder can “expand” its capacity and support appending string data efficiently. As with […]
Part Two: Understanding the Overhead of a StringBuilder To continue exploring how the StringBuilder works, we’ll shift focus and study its logical design. Today, we’ll start by looking at how the type is designed and the overhead involved with creating and using StringBuilder instances. If you missed part one of this series, I explained why […]