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5 things I learned after vibe coding my first app
AppWizard
June 4, 2026

5 things I learned after vibe coding my first app

Megan Ellis explored vibe coding, a method that simplifies app development for both experienced and novice developers, allowing users to create functional applications in minutes. She began her journey through a Google AI course that introduced her to Google AI Studio, where she found the learning curve to be gentle, completing a simple spreadsheet analyzer app in 30 minutes. Most vibe coding tools focus on web app development, but recent updates have made Android app creation more accessible. Although no coding experience is necessary to engage in vibe coding, there are significant security risks associated with the apps created, leading Ellis to refrain from publishing her work. She found troubleshooting to be easier than expected, thanks to AI tools that helped resolve issues quickly. Additionally, she can keep her apps private using AI Studio's share link feature, allowing her to use them without public exposure.
NVIDIA reveals if RTX Spark (N1X) can run all your Windows 11 apps
Winsage
June 2, 2026

NVIDIA reveals if RTX Spark (N1X) can run all your Windows 11 apps

NVIDIA has introduced the RTX Spark, an Arm-based processor codenamed N1X, designed to run all Windows applications seamlessly in collaboration with Microsoft. The processor features up to 128GB of unified memory, native support for AI agents, and is integrated with NVIDIA’s graphics stack. The Surface Laptop Ultra is among the first devices to utilize this processor. Jensen Huang, NVIDIA's CEO, claims the RTX Spark can run 100% of NVIDIA’s software stack and has been meticulously optimized for compatibility with Windows applications. While many popular applications and games now run natively on Windows on Arm, NVIDIA has not yet released performance benchmarks for the RTX Spark. The "Prism" emulator allows Windows apps designed for x86 processors to run on Arm hardware through real-time translation, enhancing performance. Recent updates to Windows 11 have improved support for various x86 extensions, increasing compatibility for applications.
How to Disable Windows Defender in Windows 11 (GUI, PowerShell, CMD & Group Policy)
Winsage
May 30, 2026

How to Disable Windows Defender in Windows 11 (GUI, PowerShell, CMD & Group Policy)

Disabling Windows Defender is common among users setting up virtual machines or optimizing build processes, but it can be frustrating due to Windows 11's resistance to such actions. Many guides suggest using outdated registry keys, which are often reverted by updates, leading to repeated attempts to disable the protections. Users may disable Defender for several reasons, including performance issues with virtual machines, conflicts with Android emulators, hindrances in development environments, troubleshooting disk performance, and security testing in isolated labs. However, disabling antivirus software increases exposure to threats. Microsoft Defender includes components such as Antivirus, Real-Time Protection, Cloud-Delivered Protection, Tamper Protection, and Defender for Endpoint. Tamper Protection is a significant barrier to disabling Defender, as it prevents unauthorized changes to security settings. Key considerations before disabling Defender include the need for administrator rights, the effect of Tamper Protection, potential resets from Windows Updates, temporary toggles for Real-Time Protection, and the option to install third-party antivirus software, which places Defender in passive mode. Methods to disable Defender include using the Windows Security GUI, PowerShell commands, Command Prompt, or Group Policy (available only for certain editions). Disabling Tamper Protection requires accessing the GUI or being managed by an organization. To check if Defender is disabled, users can use PowerShell to review specific fields. Common reasons for Defender reactivating include enabled Tamper Protection, system reboots, Windows Updates, lack of third-party antivirus, and security policy refreshes. Installing a legitimate third-party antivirus is often the best way to maintain a consistent state. Instead of disabling Defender, users can add exclusions for specific folders related to virtual machines or development tools, allowing them to maintain protection while avoiding conflicts. Troubleshooting common problems includes ensuring elevated sessions for PowerShell, checking Tamper Protection status, and understanding the limitations of the Group Policy editor based on the Windows edition. Disabling Defender may be appropriate in specific scenarios, but for regular use, especially on machines handling sensitive tasks, the risks generally outweigh the benefits. Using exclusions is recommended for performance improvements without compromising security.
Google ranks the best AI for building Android apps, and the winner isn't Gemini
AppWizard
May 26, 2026

Google ranks the best AI for building Android apps, and the winner isn’t Gemini

Google launched the Android Bench benchmarking portal in March to help software developers evaluate AI models for Android app development. The leaderboard was updated last week to include open-weight models and new metrics for latency, tokens, and cost. Matthew McCullough, Google's VP of Product for Android Development, stated that the goal is to provide a benchmark for evaluating large language models (LLMs) in Android development. As of May 18, GPT 5.5 is the top AI model for Android app development, with Gemini 3.1 Pro and GPT 5.4 ranked as joint leaders. Android Bench evaluates LLMs based on real-world challenges and tasks sourced from public GitHub repositories. Other benchmarking tools in the Android ecosystem include Jetpack Microbenchmark, Jetpack Macrobenchmark, Firebase Performance Monitoring, Android Vitals, Apptim, and Android Performance Analyzer. The overall benchmark score on Android Bench is calculated using four core values: Confidence Interval Range, Average Latency Score, Average Total Tokens Score, and Average Cost. The test harness for Android Bench is publicly available on GitHub.
Why Hyper-V Breaks Emulators on Windows 11 (And the Fix)
Winsage
May 26, 2026

Why Hyper-V Breaks Emulators on Windows 11 (And the Fix)

Enabling Hyper-V on Windows 11 can cause applications like BlueStacks or VirtualBox to lag or fail to launch due to conflicts with CPU virtualization extensions (VT-x/AMD-V). Hyper-V is a Type-1 hypervisor that monopolizes these resources, preventing Type-2 hypervisors from accessing them directly. Common issues include error messages from BlueStacks, LDPlayer, VirtualBox, VMware, and Android Studio related to virtualization availability. To check if Hyper-V is enabled, users can use Task Manager, System Information, Windows Features, Command Prompt, or PowerShell. Disabling Hyper-V can be done through various methods, including unchecking it in Windows Features, using PowerShell, the bcdedit command, or modifying BIOS settings. However, disabling Hyper-V also stops functionalities like WSL2 and Memory Integrity. Some modern emulators, such as BlueStacks and VMware Workstation Pro, have adapted to work alongside Hyper-V, while VirtualBox's compatibility remains experimental. For optimal emulator performance, users should allocate appropriate CPU cores and RAM, ensure virtualization is enabled in BIOS, enable GPU acceleration, and set the Windows power plan to "Best performance." If issues persist, users should confirm Hyper-V is off, check BIOS settings, and reset emulator configurations.
Google AI Studio has learnt to create Android apps from a text query
AppWizard
May 20, 2026

Google AI Studio has learnt to create Android apps from a text query

Google has introduced a new feature in AI Studio that enables users to create native Android applications from text descriptions, automatically generating Kotlin code and using Jetpack Compose for the user interface. Developers can build Android apps directly in the browser without needing to install Android Studio or additional libraries. AI Studio includes a built-in Android Emulator for real-time testing and allows immediate installation of applications on Android devices via USB. Users can publish builds to Google Play's internal test track and export projects as ZIP archives or push them to GitHub. The service is ideal for developing simple utilities and applications that utilize various Android hardware features. Future updates will include support for Firebase and other tools.
You can now build Android apps in minutes by describing them to Google AI Studio
AppWizard
May 20, 2026

You can now build Android apps in minutes by describing them to Google AI Studio

Google has introduced AI-powered features in Google AI Studio to simplify Android app development. Users can describe their app ideas in plain language, and the AI translates these into functional Android applications via a web browser. The platform generates the app's framework, user interface, and core functionalities using Kotlin and Jetpack Compose, supporting features like GPS, Bluetooth, and NFC. AI Studio includes an in-browser Android Emulator for building and testing apps, along with Android Debug Bridge integration for direct deployment to devices. Currently, the tools are aimed at personal utilities and lightweight projects, with plans for broader sharing options in the future. The platform can automatically create Play Console records, package Android App Bundles, and upload builds for testing, reducing manual steps. Developers can also export projects as zip files for further work in Android Studio or GitHub. Future expansions will include support for Firebase services. Additionally, Google has introduced the "Ask Play" feature for app discovery, allowing users to search using conversational prompts instead of keywords, and plans to integrate Android applications within Gemini interactions across mobile and web platforms.
Google's AI Studio enables rapid Android app creation in minutes
AppWizard
May 20, 2026

Google’s AI Studio enables rapid Android app creation in minutes

Google has introduced enhanced web-based AI tools in its AI Studio platform, allowing users to generate complete native Android applications from natural-language prompts. This process enables individuals without programming skills to create installable APKs in minutes. The Build mode accepts plain-English descriptions to construct comprehensive native Android projects, which can then be customized in Android Studio. The tools support integration with third-party APIs and Web3 SDKs, allowing AI-generated apps to interact with blockchain functionalities. This development offers opportunities for the cryptocurrency sector, enabling decentralized finance protocols or wallet providers to create lightweight companion apps without extensive engineering teams. The integration with the Android ecosystem positions Google to reshape competitive dynamics in mobile app development. However, there are security concerns regarding the AI-generated code, particularly related to vulnerabilities in rapidly generated mobile apps that interact with smart contracts.
Google thinks Gemini 3.5 Flash can finally make AI agents more useful
AppWizard
May 20, 2026

Google thinks Gemini 3.5 Flash can finally make AI agents more useful

Google has rolled out its AI model, Gemini 3.5 Flash, across various platforms, claiming it outperforms its predecessor, Gemini 3.1 Pro, in key benchmarks. Gemini 3.5 Flash generates responses four times faster than competing AI systems and is designed for complex workflows and coding tasks. Google plans to introduce Gemini 3.1 Pro next month, which excels in decision-making and coding tests. The model is particularly effective for "long-horizon" tasks, aiding app development and document preparation. Google Antigravity, an agentic development platform, integrates with Gemini 3.5 Flash to manage large workloads. The company also introduced Gemini Spark, a personal AI agent for managing digital tasks, with a beta rollout for select testers. Gemini 3.5 was developed under the Frontier Safety Framework, incorporating enhanced safety measures and interpretability tools.
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