AI assistance

AppWizard
August 18, 2026
Google is rolling out a Chrome update on Android, introducing Gemini webpage summarization, Q&A, and connected apps to all U.S. users. AI Pro and Ultra subscribers will receive an auto-browse feature that allows Gemini to purchase items or secure events based on user prompts. The update also includes the Nano Banana feature. Users can summarize lengthy articles and ask specific questions about online content by tapping the Gemini icon in Chrome. The auto-browse feature enables users to instruct Gemini to perform tasks like ordering products or booking events, providing transparency in its actions. Additionally, the Personal Intelligence feature personalizes responses based on individual hobbies and preferences.
Winsage
August 17, 2026
Microsoft has decided to discontinue the COPILOT function in Excel, which was never widely available and was accessible only to Frontier and Insider users since August 2025. The feature allowed users to interact with spreadsheets using natural language for tasks like summarizing text and categorizing feedback, and it could retrieve information from the web. Users will no longer be able to create new formulas using the COPILOT function after September 14, 2026. While the COPILOT function will be discontinued, similar functionalities will still be available through the Copilot side pane, which supports various AI-driven tasks. Microsoft is shifting towards a more unified Copilot experience within its Microsoft 365 suite, indicating a strategic reassessment of its Copilot offerings.
Tech Optimizer
July 23, 2026
Poor database performance can lead to missed SLAs, delayed releases, customer dissatisfaction, and lost revenue. Microsoft has enhanced PostgreSQL on Azure, transforming it into a fully managed platform that meets enterprise demands. Azure Database for PostgreSQL and the new Azure HorizonDB offer significant performance improvements, with HorizonDB being three times faster than self-managed PostgreSQL. The PostgreSQL extension for Visual Studio Code integrates performance management into development workflows, providing tools for managing PostgreSQL throughout its lifecycle. Key features include a server metrics dashboard that displays performance indicators, Azure Advisor recommendations for actionable insights, improved query plan visualization, and AI-assisted query analysis. The extension also enhances schema design and query formulation experiences, ensuring secure and governed interactions with PostgreSQL. Azure HorizonDB is in public preview, designed for AI-native workloads. These advancements aim to reduce friction, enhance clarity, and enable faster actions for enterprise teams managing PostgreSQL at scale.
Winsage
July 5, 2026
Microsoft has confirmed that Windows 11 version 26H2 will be released in the latter half of 2026, transitioning to a streamlined servicing model with a small enablement package instead of a full installation. Key features expected in this update include: 1. A revamped Copilot that enhances search experiences with AI assistance. 2. Customization options for the Taskbar, allowing repositioning and size adjustments. 3. An option to disable web results in Windows Search for a more focused experience. 4. Improved control over Windows Update, including the ability to pause updates for up to 35 days. 5. An Administrator Protection feature that creates temporary accounts for administrative tasks to enhance security. 6. A modern design refresh for the Run dialog box, featuring rounded corners and a "recent commands" section.
AppWizard
June 30, 2026
The Godot Foundation has decided to implement new guidelines to prohibit AI-authored code, pull requests from AI agents, and AI-generated text in communications between contributors. This decision follows concerns about the increasing number of AI-generated contributions, which have made code review more challenging for maintainers. The Foundation aims to reduce the burden on maintainers and ensure that all contributions come from accountable humans. The new policies will explicitly reject AI-authored code and advise contributors to use AI assistance only for minor tasks while requiring disclosure of its use. Machine translations of human-authored text will still be allowed. The Foundation plans to adopt a cautious approach to AI tools and will re-evaluate its policies as the situation evolves.
AppWizard
May 26, 2026
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.
AppWizard
April 17, 2026
Google has introduced a suite of AI skills and development tools for Android developers to enhance productivity, allowing them to build applications three times faster using any AI agent. The documentation has been restructured into a format called Agent Skills, providing clear, actionable steps for AI to follow, which eliminates the need for manual input from developers. Google plans to expand its offerings with more official Android skills compatible with community-developed skills. Additionally, a preview of the Android CLI has been released, enabling developers to perform tasks like environment setup and project creation directly from the terminal, significantly improving efficiency. Internal tests show that using the Android CLI with the new skills can reduce AI token usage for project setup by 70% and decrease task completion time to a third of traditional methods. The Android Knowledge Base has also been introduced to keep AI agents updated with current data, enhancing their effectiveness. Developers can transition from the Android CLI to Android Studio for advanced debugging, with new AI-powered project flows integrated into the IDE.
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