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Using Native Gemini Android app's Deep System Integration Features on rural 4G network

Summary While the Gemini PWA  on mobile (Android) remains a reliable choice for extended chat sessions including using Speech To Text feature of Gemini PWA and Google Gboard, the Native Android App offers distinct advantages in specific mobile scenarios. This blog post explores how the native app serves as a specialized tool for "on-the-go" productivity and deep system integration on my Samsung M21 Android mobile. 1. Frictionless Contextual Analysis: "Ask about screen" The most significant advantage of the native app is its ability to bypass the manual "Screenshot and Upload" cycle. The "Ask about screen" Success: By using the native overlay, you can analyze content inside other apps—such as WhatsApp —without leaving the conversation. 2. Seamless "Chain Commands" via Workspace Extensions The native app excels at moving information between apps using simple voice commands. Direct Integration: The native app can take informa...
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Using Gemini PWA to Solve Voice Input Issues with Gemini on Android Mobile on Rural 4G Especially for Speakers Who Pause Often

Last updated on 1 April 2026 Created on 31 March 2026 The Quick Info and Summary sections have been generated by Gemini and later reviewed and edited by me (Ravi S. Iyer). Quick Info The Problem: Voice input in the native Gemini Android app and its "Gemini Live" feature often fails on rural 4G networks due to high "jitter" and/or slightly longer than normal pauses of speaker which the app misinterprets as end of message request. For users who require longer pauses to catch their breath—such as heart patients—the app's aggressive silence detection (VAD) sends off the message request prematurely making it almost impossible to have a voice input driven chat exchange with native Gemini Android app. The Solution: Switching from the native Android app to the Gemini Progressive Web App (PWA) (on Android mobile device) combined with Gboard dictation creates a stable, jitter-tolerant and pause-tolerant workflow.  However, to share current screen, the Gemini nat...
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My First Exposure to Gemini 3.1 Pro Model’s Reasoning & Pro plan's 1 Million Token Context Window Impact for Software Development Work

I recently got a feel for the significant improvements that Google AI Pro plan brings for software development work as compared to free tier Gemini/ChatGPT AI. This was in the context of my custom PowerShell script suites which are quite complex. As per Gemini, for an LLM, understanding such custom PowerShell suites is comparable in complexity to understanding medium-complexity Next.js and React Native projects.  While the Pro plan's 1-million-token context window solved the "sliding window" memory loss issue—allowing the AI to hold sub-folders and many files in its head at once—it was the Gemini 3.1 Pro model’s reasoning power that, as per Gemini, was critical in this PowerShell script suites work. It successfully parsed the complex, custom logic across my interlinked scripts to generate a holistic view and high-quality documentation based on it that less powerful models may have struggled to do. Gemini 3.1 Pro model seems to be very good at software development tasks as...
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Used Gemini Code Assist in VS Code under Google AI Pro plan to review and greatly enhance documentation of two Powershell scripts repos

Related post:  How AI (LLM) Context Window Size Impacts What Data AI 'Remembers' In Software Development Workflows Overview Over past few days, I did my first signficant software development related work using Gemini Code Assist (GCA) extension in VS Code under Google AI Pro plan for one public and another private repository of Powershell scripts. JS Tech Stack Source Code Copy, Zip, Move, List & Misc PowerShell Scripts - public GitHub repo   Backup System Scripts - private GitHub repo . These scripts use the above mentioned 'JS Tech Stack ...' scripts. Overall, the experience has been very positive. These repositories are 'suites' of PowerShell scripts ('suite' is a fitting term suggested by Gemini). They differ from a medium-complexity Next.js repository (e.g., my Gita project) or a simple-to-medium complexity React Native repository (e.g., my Timestamp Tracker project). However, these PowerShell repositories are complex in their own right. Note th...
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How AI (LLM) Context Window Size Impacts What Data AI 'Remembers' In Software Development Workflows

Related post:  Used Gemini Code Assist in VS Code under Google AI Pro plan to review and greatly enhance documentation of two Powershell scripts repos ======================================== This document was created with help of Gemini. Date created: 25 March 2026, last updated on 26 March 2026. When using AI coding assistants (like Gemini on web, Gemini Code Assist extension in VS Code, Gemini in Google Colab or even Gemini in AntiGravity (AI agent)) for software development, understanding how the AI remembers the work done in the sessions is important. Further, the massive difference between a free-tier context window and a pro-tier context window fundamentally changes how you can use these tools to manage a codebase. Recently when I was using Gemini Code Assist in VS Code, I found that it had 'forgotten' the work done in the previous day - I had closed and reopened the project in VS Code between these work sessions. As I am on Google AI Pro plan, I had thought it would h...
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