Dotfuscator from PreEmptive helps .NET developers all over the globe protect their apps from reverse-engineering and hacking. Dotfuscator has been available for Xamarin developers using Visual Studio 2019 on Windows, but now with the release of Professional 6 is available on Visual Studio for Mac and cloud builds!
Xamarin.Essentials, your favorite cross-platform library to access native features from shared code adds new file bases APIs for sharing, email, and opening. It also adds watchOS, tvOS, and Tizen platform support in the 1.3 pre-update!
An essential part of any mobile application is the ability to persist data. Sometimes that is a large amount of data that requires a database, but often it is smaller pieces of data such as settings and preferences that need to be persisted between application launches.
As a mobile app developer, it's great to be able to pull data from the server to our apps to provide users with a delightful experience. Of course, until your user puts their device on airplane mode or hits a rough patch with no cell reception. To provide the best user experience we need access to the current network state of our users' device. Better yet, be able to register for changes to that network state. Doing this will allow our mobile apps to react to different network conditions to provide users with instant feedback. With the connectivity API in Xamarin.Essentials, we can do just that with a few lines of code.
n a previous blog we discussed obfuscating your Xamarin application with Dotfuscator Community to protect it from reverse-engineering. That kind of protection is an important and necessary layer in your application's security posture, but it shouldn't be the only layer. The application also needs to react to threats at runtime in order to protect its own integrity, and to protect the data that it accesses.
Microsoft Cognitive Services provide a great way to get started with AI without being a machine learning or data science expert. A common favorite of cognitive services is the Custom Vision Service. The first version of this service allowed you to easily build an image classifier model that you could access either via a REST API (with an SDK available for Xamarin apps), or by downloading a model that can be run on your device using either CoreML, TensorFlow or WindowsML (we looked at using TensorFlow in an Android app in an earlier blog post).