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Is Windows 11 good enough yet?
Winsage
September 26, 2026

Is Windows 11 good enough yet?

A viewer on The Full Nerd asked if perceptions of Windows 11 might change after five years. The author, who initially embraced Windows 11 but became disillusioned due to ads and performance issues, has recently had a positive experience with the Dell XPS 13 laptop. Despite having only 8GB of RAM, the laptop performs well with multitasking, maintaining responsiveness even with multiple applications open. However, the Task Manager shows that memory usage starts at 6GB even when idle, indicating that Windows 11 consumes significant resources. The author speculates that ongoing critiques may have led to optimizations in software from companies like Google and Microsoft.
Expert Opinions and Insights from the Tech Industry
AppWizard
September 23, 2026

Expert Opinions and Insights from the Tech Industry

The Android development community has historically addressed memory optimization reactively, but new performance requirements from Google Play, effective February 2027, emphasize proactive memory management. These requirements include metrics for dynamic memory usage, bitmap memory, and DEX code optimization, with apps needing at least 25% optimization coverage. Memory usage can now hinder releases even without local crash replication, necessitating its integration into the pre-production process alongside other performance metrics. Dynamic memory usage is defined as anonymous RSS plus swap, excluding file-backed data. Google Play will evaluate this across different application states and device performance categories. Bitmap memory is scrutinized for the retention of invisible bitmaps, and DEX optimization aims to reduce memory footprint and improve performance. Investigating memory growth involves using Android Studio’s Memory Profiler to monitor memory changes during specific user flows and conducting heap dumps to identify retained objects. Issues often arise from retained state, where components hold onto callbacks that reference image data, necessitating a focus on lifecycle management rather than merely cache size. Bitmap memory should be carefully managed, as the decoded size can significantly exceed the compressed file size. Downsampling images to match UI dimensions is crucial. Memory checks should occur before production, with a focus on establishing a memory budget based on actual measurements and defining representative memory scenarios for testing. A pre-release memory checklist includes running user flows repeatedly, testing on various devices, inspecting heap dumps, examining image configurations, and reviewing optimization metrics. Monitoring Android vitals and Play Console warnings is essential to detect potential issues before they lead to user-reported crashes.
When Memory Becomes a Release Metric: Preparing Android Apps for Google Play’s New Limits
AppWizard
September 21, 2026

When Memory Becomes a Release Metric: Preparing Android Apps for Google Play’s New Limits

In August 2026, Google Play announced new performance requirements for memory management that will be enforced starting February 2027. These requirements include metrics for dynamic memory usage, bitmap memory, and DEX code optimization. Applications that exceed these thresholds may face reduced visibility and publishing capabilities on the platform. Dynamic memory usage is defined as the sum of anonymous RSS and swap, excluding file-backed data. Google is focused on whether applications retain non-visible bitmaps and requires at least 25% coverage in DEX optimization. Memory issues can be difficult to reproduce, and developers are encouraged to use Android Studio’s Memory Profiler to investigate memory growth. A thorough investigation involves monitoring memory changes, taking heap dumps, and understanding reference paths. Bitmap memory should be carefully managed, as the runtime cost of images can exceed their file size. Google will provide real-world memory metrics through the Play Console, and teams are advised to establish memory budgets and perform pre-release checks to identify potential issues before they lead to out-of-memory (OOM) crashes.
Want your PC to be a bit more like a Mac? The 'Dynamic Island for Windows' just got a big update.
Winsage
September 7, 2026

Want your PC to be a bit more like a Mac? The ‘Dynamic Island for Windows’ just got a big update.

Notchify, a Windows application emulating macOS's Dynamic Island feature, has received a significant update that improves performance and adds new functionalities. Key enhancements include optional GPU rendering for smoother animations, reduced CPU and memory usage, resolution of keyboard lag, improved fullscreen detection, and selectable frame rates. The app now features an integrated Clipboard history, drag-and-drop file tray functionality, an in-app notifications panel, to-do and notes sections with a calendar date picker, quick system actions, app shortcuts, and a connected device card for BLE devices. Additionally, a media player with various options has been included, along with quality of life enhancements like a hover-to-reveal feature, a redesigned settings interface, support for 10 languages, and improvements for multi-monitor setups. Notchify is priced at .99, with a free trial available.
Announcing Project Zenith: The ready-to-code Windows experience on developer-class devices
Winsage
September 4, 2026

Announcing Project Zenith: The ready-to-code Windows experience on developer-class devices

Windows announced Project Zenith, a developer-optimized Windows 11 experience designed for devices with over 64 GB of unified memory and memory bandwidth exceeding 250 GB/s. The project will initially launch with AMD’s Ryzen AI Halo and will include preconfigured Windows setups and a curated selection of development tools. Devices under Project Zenith will allow developers to run models with over 30 billion parameters locally, reducing reliance on cloud resources. Enhancements to Windows 11 include improved performance and a cleaner workspace tailored for coding, with features like pinned Windows Terminal and Visual Studio Code. Project Zenith also integrates the Windows Subsystem for Linux (WSL) and provides a secure environment for developing agentic applications, leveraging OS-enforced identity and Microsoft Execution Containers (MXC). The initiative aims to offer a consistent ready-to-code experience across various devices while responding to developer needs and evolving with advancements in AI and software development.
Windows 11's Project Zenith cuts clutter for developers and promises a "distraction-free" experience
Winsage
September 4, 2026

Windows 11’s Project Zenith cuts clutter for developers and promises a “distraction-free” experience

Microsoft is launching Project Zenith, which optimizes Windows 11 for developers by preinstalling essential applications and configuring settings tailored for coding. Key features include File Explorer displaying file extensions, hidden files, and the complete path in the title bar. Developer-class devices will run models with over 30 billion parameters locally and will come with tools like Windows Terminal and Visual Studio Code pinned to the Taskbar, along with preinstalled applications such as GitHub Copilot and PowerToys. To qualify as a developer-class device, a system must have a minimum of 64 GB of unified memory and at least 250 GB/s memory bandwidth. Initially, these enhancements will be available on AMD's Ryzen AI Halo devices, with plans for broader availability. All Windows 11 devices will benefit from overall improvements, including reduced memory usage and enhanced functionality in Search and File Explorer.
Autoscaling Lakebase Postgres
Tech Optimizer
September 1, 2026

Autoscaling Lakebase Postgres

Choosing a database instance size without prior knowledge of the workload can lead to inefficiencies and excessive compute usage. Lakebase Postgres addresses this with an autoscaling feature that eliminates manual sizing, utilizing in-place VM resizing and a monitoring algorithm for CPU, memory, and working set size. Lakebase Postgres separates compute and storage layers, allowing independent resizing of compute nodes without affecting the database. The autoscaling algorithm relies on three signals: CPU load (cpuGoalCU), memory use (memGoalCU), and compute-cache working set size (lfcGoalCU). The CPU load is monitored every five seconds, aiming to maintain it at or below 90% capacity. Memory usage is tracked at two frequencies: overall memory every five seconds and Postgres-specific memory every 100 milliseconds, with a goal to keep usage below 75% of allocated RAM. The compute cache evaluates active data access efficiency, adjusting size based on workload. The working set is estimated using a modified HyperLogLog algorithm that records timestamps for page accesses, allowing for distinct page estimates over various time frames. The algorithm projects future working-set growth to allocate sufficient cache while capping it at 75% of RAM. Resizing the compute involves four components: the autoscaler-agent, vm-monitor, Kubernetes scheduler, and NeonVM. Scaling up occurs when any of the three goals indicate a need for more resources, while scaling down includes verification to ensure sufficient memory remains for operations. Timely adjustments in both directions are prioritized to minimize costs.
Google enforcing new Android app memory limits in February
AppWizard
August 31, 2026

Google enforcing new Android app memory limits in February

Google will implement new memory management policies for Android applications starting in February 2027, which will enforce specific memory limits based on device RAM. The defined limits are: - For 4GB devices: 2GB in the foreground, 1GB for user-perceived services, 1GB in the background. - For 6GB devices: 2.25GB in the foreground, 1.25GB for user-perceived services, 1.25GB in the background. - For 8GB devices: 2.25GB in the foreground, 1.5GB for user-perceived services, 1.5GB in the background. - For 12GB devices: 3.25GB in the foreground, 1.75GB for user-perceived services, 1.75GB in the background. - For 16GB devices: 4.25GB in the foreground, 2GB for user-perceived services, 2GB in the background. Devices with more than 16GB of RAM will be largely exempt from these restrictions. The changes are motivated by RAM shortages and the impact of artificial intelligence technologies on memory availability, aiming to maintain device performance and user experience. Apps exceeding these memory limits may face reduced functionality or removal from the Google Play Store.
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