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silver Android smartphone
AppWizard
June 28, 2026

The Steam client was hurting PC gaming on Android — Valve’s VR headset accidentally solved it

Playing Windows games on Android has become feasible due to Winlator and open-source technologies like Wine, Box64, and DXVK. User-friendly applications such as GameHub and GameNative have emerged, enhancing mobile gaming experiences to rival dedicated handheld consoles. A major challenge was the reliance on the x86 Windows Steam client, which was resource-intensive on mobile devices. GameNative 1.0 introduced an experimental feature that eliminates the need for the desktop Steam client by using Valve's native Android libraries, improving the gaming experience significantly. Valve released Steamworks SDK version 1.63 in November 2025, which included native ARM64 libraries for Android, allowing for essential Steam functionalities without a translation layer. GameNative integrated these libraries, replacing the desktop client with a more efficient "bionic" Steam client that operates without a user interface, streamlining DRM and matchmaking processes. GameNative now supports Steam Guard TOTP sign-in, enabling smooth authentication and access to the user's Steam library. It downloads games natively, supports cloud saves, and is compatible with most single-player games with Steam DRM. The application boasts a high compatibility rate, with 221 out of 241 games in one user's library showing as compatible. GameNative 1.0 has improved performance with a Vulkan renderer and reworked controller stack. Despite its success, GameNative is not yet available on the Play Store, with nearly a million users sideloading the application. Developers aim to create a Play Store version that complies with Google's policies for easier installation.
Making Windows a developer platform, again
Winsage
June 25, 2026

Making Windows a developer platform, again

Setting up a PC with the base Dev Config has been streamlined for developers, utilizing the Winget configuration service to install applications, execute updates, and apply developer settings on Windows. Users can access setup scripts by cloning a GitHub repository or downloading a zip archive, with clear instructions provided by Microsoft. The installation may require a reboot during the Windows Subsystem for Linux (WSL) installation, but the script resumes automatically afterward. The process installs applications such as PowerShell, Git, GitHub command-line interfaces, Windows App SDK, Visual Studio Code, and language support for Node.js, Python, and .NET. It also includes developer-friendly fonts and a theme engine for Windows Terminal, along with options for customizing File Explorer and the Windows Task Bar. After WSL installation, developers can use WSL Comfort scripts to install additional tools and personalize their Windows Terminal experience. This utility has two phases: the Windows component configures WSL and Ubuntu, while the Linux component fine-tunes the WSL environment, allowing for zsh and starship terminal display tools. It also integrates popular command-line interfaces and supports the Homebrew package installer, targeting existing Ubuntu instances without needing a new Linux distribution installation.
New DirectX Dump Files tool will make debugging crashes easier GPU + Windows
Winsage
June 21, 2026

New DirectX Dump Files tool will make debugging crashes easier GPU + Windows

Microsoft has launched a public preview of DirectX Dump Files, designed to improve the debugging process for GPU crashes on Windows. The .dxdmp files are created when a hardware error is detected and contain hardware snapshots, driver data, Direct3D runtime context, and application user data. Developers need to meet specific requirements, including using Windows 24H2 or 25H2 with update KB5089573 or later, Windows 26H1 with update KB5089570 or later, Agility SDK Update Package 1.721.1-preview, and enabling developer mode. Additionally, AMD Software AgilitySDK Developer Preview Edition 26.10.07.02 is required for AMD graphics cards, along with compatible benchmark drivers from Intel, NVIDIA, and Qualcomm, and PIX version 2606.18-preview for analyzing dump files. The tool is currently focused on gathering developer feedback and is not intended for retail game integration. Developers can choose between three operational modes: NOOVERHEAD, MEDIUMOVERHEAD, and HIGH_OVERHEAD. The full launch is expected in fall 2026.
Windows Platform Security and the Race to Secure AI Agents
Winsage
June 19, 2026

Windows Platform Security and the Race to Secure AI Agents

Microsoft has introduced the Microsoft Execution Containers (MXC) SDK to establish Windows as a reliable operating system for autonomous agents, focusing on containment, identity, and manageability. The MXC framework serves as a policy-driven execution layer for agents on Windows and Windows Subsystem for Linux (WSL), allowing developers to set access permissions using JSON or TypeScript. It employs process and session isolation for agent containment and identity. Future enhancements will include micro-VM support for high-risk tasks and integration with Windows 365 for cloud PC workloads. IT teams can manage MXC policies through Entra ID and Intune, while Defender and Purview provide protection and observability. The MXC framework is built on Microsoft's security initiatives, including Secure Boot and passwordless sign-in, allowing agents to inherit a secure foundation. However, early commentary expresses caution regarding MXC's perception as a comprehensive security solution, noting issues with overly permissive policies and the lack of outbound network filtering. Other platforms, such as Linux, are also enhancing security for agents with kernel-level isolation and secure environments like NVIDIA's OpenShell runtime. Various projects are focusing on agent sandboxes within Kubernetes, employing technologies like gVisor and Kata Containers for isolation. Overall, no singular dominant platform security model for AI agents has emerged, with Windows' MXC still considered nascent compared to existing solutions in Linux and Kubernetes ecosystems.
Microsoft is reportedly testing Copilot+ AI features with discrete GPUs instead of NPUs — a feature available on Windows App SDK with a Windows Insider Experimental Channel build and Developer Mode turned on
Winsage
June 15, 2026

Microsoft is reportedly testing Copilot+ AI features with discrete GPUs instead of NPUs — a feature available on Windows App SDK with a Windows Insider Experimental Channel build and Developer Mode turned on

Copilot PCs were introduced by Microsoft in 2024 to integrate advanced AI capabilities into personal computing. An experimental Windows App SDK is now available on GitHub, allowing users to run Language Model APIs on supported Nvidia GeForce RTX 30-series GPUs with a minimum of 6GB of VRAM. This capability requires a Windows Insider Experimental Channel and Developer Mode activation, enabling local AI inferencing on devices without dedicated NPU hardware. Microsoft's shift from promoting Copilot+ PCs may be influenced by fluctuating RAM prices and aims to make AI functionalities more accessible to a broader user base. In 2024, a research firm noted that consumer interest in AI PCs was driven by the need to upgrade to available models, a trend continuing into 2026 due to a shortage of memory and storage chips, resulting in rising computer prices and declining sales of PCs and components. Projections indicate that entry-level laptops may disappear by 2028. The lack of consumer interest in NPU-equipped PCs could impede the adoption of Copilot+ features, prompting Microsoft to expand AI functionalities to non-Copilot+ devices to enhance its user base and differentiate Windows 11 from competitors like macOS and Linux.
For June, Patch Tuesday means an IT scramble
Winsage
June 13, 2026

For June, Patch Tuesday means an IT scramble

A systematic approach to testing is essential following the latest updates. The process begins with installing the .NET SDK update, then building and executing representative applications to ensure existing projects compile and run without issues. For SQL Server users, the GDR update must be installed on the appropriate branch, followed by a service restart and standard transaction execution to verify stability. Backup and restore verification is also necessary, including checking the health of Always On availability groups and testing patch installation and removal. The Readiness team recommends prioritizing testing for Remote Desktop this month due to its frequent patches and high-risk classification. The focus should be on printer redirection, followed by general connectivity, RemoteApp functionality, clipboard and device redirection, gateway access, and licensing considerations. The next priority is validating NTLM authentication updates, including domain and standalone logon processes, file-share access, and application sign-in capabilities. Other updates are security-focused with no functional changes, requiring routine regression testing across networking, Hyper-V, storage, and graphics components. Office remains MSI-only, with Click-to-Run installations unaffected by these updates. The updates for .NET and SQL Server complete the landscape for developers and database administrators.
Microsoft tests Windows AI features on RTX GPUs, not just NPUs
Winsage
June 12, 2026

Microsoft tests Windows AI features on RTX GPUs, not just NPUs

Microsoft is expanding the availability of its Copilot+ features to users with Nvidia RTX GPUs, allowing older PCs to utilize advanced AI tools such as text summarization, image upscaling, and code generation. This change is facilitated by the experimental release of the Windows App SDK 2.2, which enables AI functionalities to run on dedicated Nvidia RTX GPUs. Features include text rewriting, editing, and advanced capabilities in the Microsoft Photos app. Users must download the experimental version of WinAppSDK 2.2, have an Nvidia GeForce RTX 30 series GPU with at least 6GB of VRAM, and enable Developer Mode on their PC. This shift reflects a broader strategy to leverage local AI models while still using cloud resources, aiming to democratize access to AI capabilities across a wider range of devices.
Microsoft is bringing AI features to more Windows 11 PCs — just in case you were under the impression that AI was being cut back
Winsage
June 11, 2026

Microsoft is bringing AI features to more Windows 11 PCs — just in case you were under the impression that AI was being cut back

Microsoft is testing a new feature that allows developers to implement local language models on non-Copilot+ PCs running Windows 11. The Language Model APIs can now operate on any Windows 11 device with a compatible Nvidia GPU, specifically targeting GeForce RTX 30 series and newer models with at least 6 GB of video RAM. This initiative aims to democratize access to AI capabilities across a broader range of Windows 11 PCs, although not all PCs will gain access to exclusive Copilot+ AI functionalities.
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