New to the Web || A weekly update Try out Android Predictive Back Gestures and more in the development news

 New to the Web || A weekly update Try out Android Predictive Back Gestures and more in the development news

weekly update

A weekly update Try out Android Predictive Back Gestures:

This is our weekly update on the coolest developer news from Google. First up, we have some exciting new features for Firebase Authentication. You can now provide even better protection for your users with multi-factor authentication. 

In addition, adding MFA to your existing apps is very straightforward and coming to Firebase UI and all the platforms very soon. In addition, there are new blocking functions that let you check if a user can create an account or log in before finishing the authentication flow. With the latest stable releases of Firefox and Safari, some new CSS features have just become possible across all browsers. 

Android Predictive

First up is the backdrop filter, which makes it possible to apply effects in the area behind the element, such as a grayscale invert or blurring. Next, we get the scroll snap stop property, which makes it possible to control the snapping behaviour of scrolling elements. With the beta 4 release of Android 13, you can now update your app to support the new predictive back gesture. 

This allows you to show a preview of what will happen when you're swiping back. This feature requires the app to explicitly opt into the feature and the setting to be enabled in developer options after Android 13. This will be ignored in jetpack compose 1.2.0. It is now possible to add gradients and other colour options to text rendering using regular and shader brushes.

This approach uses the brush API instead of using canvas or modifier blend modes to make it a lot simpler to use and to build custom text styles. A quick note that this will not work with emojis, as they're skipped by the shader, and in case you missed it, The XN Pack is now available on 2.9.1 and later and is a highly optimized library for floating-point neural network interference operators on multiple platforms. 

This library will help in getting the best performance possible for your models while no longer having the profiler accumulate all the delegated operators into a single row. To learn more about this and all the other weak stories, make sure to check out the description box for all the links. Please remember to like, subscribe, share and stay safe. I'm ready for the developer.