![]() In Paging Compose 1.0.0-alpha19, there is support for all lazy layouts including custom layouts provided by the Wear and TV libraries. App data can be loaded gradually and gracefully within RecyclerViews or Compose lazy lists. The Paging library allows you to load and display small chunks of data to improve network and system resource consumption. Read more in the Photo Picker Everywhere blog. In Activity 1.7.0, the Photo Picker activity contracts have been updated to contain an additional fallback that allows OEMs and system apps, such as Google Play services, to provide a consistent Photo Picker experience on a wider range of Android devices and API levels by implementing the fallback action. ![]() The Android photo picker is a browsable interface that presents the user with their media library. Activity updates for more consistent Photo Picker experience We also added tUpEdgeToEdge() to easily set up the edge-to-edge display in a backward-compatible manner. In the Activity 1.8 alpha releases, The OnBackPressedCallback class now contains new Predictive Back progress callbacks for handling the back gesture starting, progress throughout the gesture, and the back gesture being canceled in addition to the previous handleOnBackPressed() callback for when the back gesture is committed. We are excited to see Google apps adopt Predictive Back including PlayStore, Calendar, News, and TV! The Activity APIs for Predictive Back for Android are stable and we have updated the best practices for using the supported system back callbacks BackHandler (for Compose), OnBackPressedCallback, or OnBackInvokedCallback. It is part of a multi-year release when fully implemented, this feature will let users preview the destination or other result of a back gesture before fully completing it, allowing them to decide whether to continue or stay in the current view. In Android 13, we introduced a predictive back gesture for Android devices such as phones, large screens, and foldables. Additionally, a large number of classes are converted to Kotlin and still retain their binary compatibility with previous versions. We added a new extension method on Flow, collectAsStateWithLifecycle(), that collects from flows and represents its latest value as Compose State in a lifecycle-aware manner. We released a stable version of Lifecycle 2.6.0 that includes more Compose integration. These components help you produce better-organized, and often lighter-weight code, that is easier to maintain. Lifecycle-aware components perform actions in response to a change in the lifecycle status of another component, such as activities and fragments. Additional features include a new storage interface that enables the underlying storage mechanism for Datastore to be switched out (we have provided implementations for java.io and okio), and we have also added support for Kotlin Multiplatform. In DataStore 1.1 alpha we added a widely requested feature: multi-process support which allows you to access the DataStore from multiple processes while providing data consistency guarantees between them. ![]() The DataStore library is a robust data storage solution that addresses issues with SharedPreferences and provides a modern coroutines based API. This greatly simplifies the development process. As of WorkManager 2.8.0, the updateWork() API is the means of doing this without having to go through the process of manually canceling and enqueuing a new WorkRequest. This is often necessary in larger apps that frequently change constraints or need to update their workers on the fly. Now, WorkManager allows you to update a WorkRequest after you have already enqueued it. These APIs let you create a task and hand it off to WorkManager to run when the work constraints are met. The WorkManager library makes it easy to schedule deferrable, asynchronous tasks that must be run reliably for instance uploading backups or analytics. These new features are available in Room 2.6-alpha with all library sources written in Kotlin and supports both the Java programming language and Kotlin code generation. In Room, we have added many brand-new features, such as the Upsert operation, which attempts to insert an entity when there is no uniqueness conflict or update the entity if there is a conflict, and support for using Kotlin value classes for KSP. Room is the recommended data persistence layer which provides an abstraction layer over SQLite, allowing for increased usability and safety over the platform. Most applications need to persist local state - whether it be caching results, managing local lists of user enter data, or powering data returned in the UI. App architecture libraries and components ensure that apps are robust, testable, and maintainable.
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