Mobile Newsletter - The .NET MAUI Extension for Visual Studio Code is now Generally Available

Thursday, June 20, 2024	View online

Welcome to this week's Mobile Development newsletter from CodeProject. Industry News Beyond the Basics: Screen Recording in .NET MAUI Let's learn how to use the ScreenRecording plugin created by Gerald Versluis in a .NET MAUI application (available for Android, iOS and macOS). Read more Telerik The Third Beta of Android 15 Android 15 Beta 3 release takes Android 15 to Platform Stability, which means that the developer APIs and all app-facing behaviors are now final for you to review and integrate into your apps, and apps targeting Android 15 can be made available in Google Play. Read more Android developers The .NET MAUI Extension for Visual Studio Code is now Generally Available We're thrilled to announce that the .NET MAUI VS Code extension is out of preview, and includes some long-awaited new features – including XAML IntelliSense and Hot Reload! Read more .NET Linux Foundation Europe launches Open Mobile Hub project to facilitate multi-platform mobile development The Linux Foundation Europe has announced the launch of Open Mobile Hub (OMH), a new framework for cross-platform mobile development. Read more SD Times Google is putting more Android in ChromeOS The changes will let Google roll out AI features at a faster pace. Read more The Verge Apple Embeds Swift Into Hardware Apple has released Embedded Swift, a subset of the Swift language, bringing Swift to both Arm and RISC-V microcontrollers. Read more Hackster Simplifying Light and Dark Mode in .NET MAUI Apps Granting your .NET MAUI app elements the ability to display in dark or light mode is easier than ever. Read more Telerik New articles added 3D What Data Scientists Should Know About OpenUSD   (0 votes) by NVIDIA (updated yesterday) In this article we look at what data scientists should know about OpenUSD and how it can enhance their workflows. Artificial Intelligence How to Train an Object Detection Model for Visual Inspection with Synthetic Data   (0 votes) by NVIDIA (updated yesterday) The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations. © 2024 The Code Project.  All rights reserved. This email was sent to vutunglampro@gmail.com. To stop receiving The Code Project Mobile Development Newsletter click Unsubscribe. CodeProject 20 Bay Street, 11th Floor, Toronto, Ontario, Canada M5J 2N8 +1 (416) 849-8900 Please do not reply directly to this email. It was sent from an unattended mailbox. For correspondence please use webmaster@codeproject.com