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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 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 Overall, it has been a very positive experience. I was very satisfied with the review and significantly improved documentation of these repositories. Earlier the first repository which has a set of subfolders each with multiple PowerShell scripts had only a single README.md at the project root folder level. After this work that top-level README has been improved and new READMEs have been created for each sub-folder covering the PowerShell scripts there. The private repo did not have any document...
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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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Possibility of No-Code Creation of Free AI Knowledge Base with basic chat interface using Google NotebookLM but with free tier limits

Last updated on 19 Mar 2026 Using Google’s NotebookLM, which has a free tier, you can create an AI knowledge base. Source material about the knowledge base in formats like Google Docs, pdfs or text should be uploaded to the notebook.  Then the AI should be able to perform natural language queries against that specific data, providing source-grounded responses with clickable citations that point directly back to the uploaded documents to ensure accuracy.  Unlike generic AI chatbots that "forget" information as a conversation grows long or require files to be re-uploaded for every new session, NotebookLM maintains Global Context Persistence —ensuring that all uploaded sources are immediately and permanently available to every chat session created within that notebook. Note that this process does not need any software development work and so is a 'no-code creation' process. The main free tier limits for NotebookLM are as follows: Notebooks: 100 Sources per notebook: 50 S...
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Possibility of No-Code Creation of Free Bhagavad Gita AI Knowledge Base with basic chat interface using Google NotebookLM but with free tier limits

Last updated on 18 Mar 2026 A friend had asked me in the past about a Bhagavad Gita AI app. We also saw that one public (and well-known) Bhagavad Gita AI app is no longer working, which I suspected to be due to subscription/hosting costs for the AI. My recent post:  Possibility of No-Code Creation of Free AI Knowledge Base with basic chat interface using Google NotebookLM but with free tier limits  covers the topic of the same name in general. This post deals with the specific case of Bhagavad Gita AI knowledge base creation. Note: I am only sketching out the possibility now; I have not created a Bhagavad Gita NotebookLM as of yet. Once the Bhagavad Gita source material—including Sanskrit verses, transliterations, translations, and commentaries by a single author in English (to stay within the limits of the free tier for sources)—is uploaded as sources (in the form of Google Docs or PDFs) to a notebook in NotebookLM, the AI should be able to perform natural language queries a...
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Notes on Blogger posts to NotebookLM pipeline and using it for static school website blog posts

Quick Info This post is about: Creation of a Blogger posts to Google NotebookLM pipeline using Google Colab and Google Apps Script. The private code links are: Google Colab notebook GitHub repo  having readme doc, example input file, copy of Colab notebook (.ipynb file). HTMLtoGDocBatch Google Apps Script project Using above pipeline to create a private NotebookLM Notebook Static School Website Dev  whose sources are these blog posts of mine: Blog posts timeline of static school landing page website work done off-and-on from mid Jan 2026 to Feb 2026 blog post as well as the other blog posts of this blog mentioned in its timeline. School website UI/UX examples  blog post. Exchanges with Gemini about this work. Details 16 Mar 2026 I started this work with test runs of 1 blog post and later 2 blog posts. After this got stabilized, I did a live run with 17 blog posts mentioned above related to static school website development. Overview Notes Created private repo for the wo...
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