In the past, I’ve blogged about using AppVeyor for Continuous Integration (CI), but up to now, I’ve been manually uploading NuGet packages to NuGet.org. In this post – the 10th in the ConTabs series – I explain the steps I took to automate the packaging and deployment of ConTabs to NuGet.org. Or, in other words, how I’m using AppVeyor for my Continuous Deployment.
In a brief break from the ConTabs series, today I’d like to share my three favourite (free) ways to enhance Visual Studio. FiraCode and Solarized will make your code look great, as well as easier to read. Productivity Power Tools is an awesome collection of 15 extensions that each make Visual Studio that little bit better.
Today’s post marks a bit of a leap into the unknown for me, as I explore using static analysis to improve my code with NDepend. I explain how it can be hard to know where to start, but also how valuable the insights can be. The actionable changes are demonstrated with commits from my development of ConTabs. Finally – in keeping with the expositionary style of this post – I close with some general observations (including an attempt to explain the difference between NDepend and ReSharper).
I ended my last post by throwing my hands up in despair because adding my .NET Standard project via NuGet triggered the download more than 40 irrelevant dependencies. In this short update, I’m going to explain how to get this working.
In an unexpected turn of events, this post is about the pitfalls I’ve encountered whilst publishing ConTabs to NuGet. My decision to make ConTabs a .NET Standard library has meant this was more complicated than I had anticipated. In this post, I’ll start by explaining the old .NET Framework approach and go on to show the new .NET Standard / Core way of doing things. Finally, I’ll talk about some unexpected guests that turned up when I tried to consume my new NuGet package.
After hooking my ConTabs project up to AppVeyor for continuous integration, the next thing I want to explore is automating test coverage reporting. In this post, I’ll talk briefly about the importance of measuring code coverage. I’ll then introduce OpenCover and Coveralls. Finally, I’ll go through my experience of wiring it all together, using AppVeyor as the platform.
For this post, I’ve been exploring the use of AppVeyor to continuously integrate my ConTabs project. I’ll start by explaining what continuous integration (“CI”) means, continue by introducing AppVeyor, before finally getting stuck into the specifics of my experience (including the gory bits).
In my current role, I find myself working a lot with our sales handling pipeline. It takes an order through our API and starts a set of processing pipelines for things like fulfilment, accounting, and our CRM system. Because the main entry point of the pipeline is an API, I used to find myself using Fiddler to make fake calls to our API in the testing environment.