How generics were added to .NET

Before we dive into the technical details, let’s start with a quick history lesson, courtesy of Don Syme who worked on adding generics to .NET and then went on to design and implement F#, which is a pretty impressive set of achievements!!

Resources for Learning about .NET Internals

It all started with a tweet, which seemed to resonate with people:

A look back at 2017

I’ve now been blogging consistently for over 2 years (~2 times per/month) and I decided it was time for my first ‘retrospective’ post.

Open Source .NET – 3 years later

A little over 3 years ago Microsoft announced that they were open sourcing large parts of the .NET framework and as Scott Hanselman said in his Connect 2016 keynote, the community has been contributing in a significant way:

A look at the internals of 'Tiered JIT Compilation' in .NET Core

The .NET runtime (CLR) has predominantly used a just-in-time (JIT) compiler to convert your executable into machine code (leaving aside ahead-of-time (AOT) scenarios for the time being), as the official Microsoft docs say:

Exploring the BBC micro:bit Software Stack

If you grew up in the UK and went to school during the 1980’s or 1990’s there’s a good chance that this picture brings back fond memories:

Microsoft & Open Source a 'Brave New World' - CORESTART 2.0

Recently I was fortunate enough to be invited to the CORESTART 2.0 conference to give a talk on Microsoft & Open Source a ‘Brave New World’. It was a great conference, well organised by Tomáš Herceg and the teams from .NET College and Riganti and I had a great time.

A DoS Attack against the C# Compiler

Generics in C# are certainly very useful and I find it amazing that we almost didn’t get them:

DotNetAnywhere: An Alternative .NET Runtime

Recently I was listening to the excellent DotNetRocks podcast and they had Steven Sanderson (of Knockout.js fame) talking about ‘WebAssembly and Blazor’.

Analysing C# code on GitHub with BigQuery

Just over a year ago Google made all the open source code on GitHub available for querying within BigQuery and as if that wasn’t enough you can run a terabyte of queries each month for free!