Category: AI
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I tried Google Antigravity: Is it the VSCode Killer?
Read This Post: I tried Google Antigravity: Is it the VSCode Killer?Google’s new AI-native editor Antigravity launched quietly with the Gemini 3 release, and I downloaded it immediately. This is my first-impression walk-through from onboarding to generating a complete project automatically. Welcome to Antigravity You can download/install it from: https://antigravity.google The very first screen after installation: Clean. Minimal. Slightly mysterious.This “Let’s get you set up” screen immediately feels…
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Prompt Engineering Hack: Good Prompts Save You Tokens
Read This Post: Prompt Engineering Hack: Good Prompts Save You TokensWhen working with AI tools, every word you type becomes tokens tiny pieces of text the system processes. Both your prompt and the AI’s response consume these tokens. If your prompt is vague or incomplete, the AI may misunderstand you, generate the wrong output, or ask you to clarify. And each extra message means more…
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The Best AI Frameworks for .NET in 2025
Read This Post: The Best AI Frameworks for .NET in 2025A simple and fun guide for developers getting started with AI in .NET In 2024, developers were busy experimenting with AI, poking at prompts, building tiny chatbots, and pretending to be data scientists for a hot minute.But 2025? Oh, it’s the dawn of the AI Agent Era. Programs aren’t just answering questions anymore; they are…
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Your First AI Application in .NET: A Step-by-Step Guide
Read This Post: Your First AI Application in .NET: A Step-by-Step GuideWelcome to this comprehensive guide on integrating Artificial Intelligence (AI) into .NET applications! If you’re new to AI development, this article explains everything step by step, including how to work with both traditional AI services and modern MCP (Model Context Protocol) servers. We’ll start with simple ways to call AI services and build up to…
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Building an AI-Powered Grocery Ordering Assistant with Semantic Kernel
Read This Post: Building an AI-Powered Grocery Ordering Assistant with Semantic KernelAs artificial intelligence continues to evolve, one concept is shaping how applications interact with people: context-aware AI orchestration. Instead of handling each user request in isolation, modern AI systems can maintain context, understand intent, and execute workflows step by step. In this blog, I’ll walk you through a Grocery Shopping Assistant I built using Microsoft…
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AI Model Basics: Understanding Size, Hardware, and Setup
Read This Post: AI Model Basics: Understanding Size, Hardware, and SetupYour guide to demystifying AI model sizes, from billion-parameter “brains” to the hardware that powers them—plus tips for running them yourself. If you’ve seen names like GPT-4 175B, Llama-3 70B, or Grok-2 314B, you may wonder:What does that “B” mean, and why should I care? (Note: While some examples here are cloud-based for illustration, we’ll…
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The Evolution of Payments: From Coins to AI Agents
Read This Post: The Evolution of Payments: From Coins to AI AgentsPayments have come a long way, from handing over coins in a bustling marketplace to tapping your phone in seconds, and now even letting machines handle the payment while you focus on life. Along the way, each leap in technology has made transactions faster, safer, and smarter. Let’s explore the key milestones that shaped this…
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vTSafeKernelInvoker – Efficient Semantic Kernel Plugin Execution Without Extra AI Token Costs, Especially for Large Output Data
Read This Post: vTSafeKernelInvoker – Efficient Semantic Kernel Plugin Execution Without Extra AI Token Costs, Especially for Large Output DatavTSafeKernelInvoker is a lightweight .NET extension for Semantic Kernel that introduces the method InvokePromptFunctionUsingCustomizedKernelAsync. This method helps reduce AI service token usage and cost by avoiding unnecessary AI post-processing of plugin results. Curious about Semantic Kernel? Explore the official overview here: https://learn.microsoft.com/en-us/semantic-kernel/overview/ Why Use This Package? When using standard Semantic Kernel methods like InvokePromptAsync or GetChatMessageContentAsync (via IChatCompletionService) etc, the plugin result is…
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AI replacing the Browser? and Front-End dead? Exploring ‘Model Context Protocol’ (MCP)
Read This Post: AI replacing the Browser? and Front-End dead? Exploring ‘Model Context Protocol’ (MCP)I recently experimented with something I believe could reshape how we interact with internal data using AI assistants like ChatGPT, Copilot, and Claude. It’s called MCP: Model Context Protocol. and it’s a game changer! What is MCP? MCP (Model Context Protocol) is an open protocol that enables AI assistants to access real-time, internal data directly from…
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How We Use AI in Our Projects – A Simple Example with Address Entry
Read This Post: How We Use AI in Our Projects – A Simple Example with Address EntryTwo months ago at NeST Tech Fest 2025, I proudly showcased my personal project “SmartQueryBot” : a fusion of database tech and artificial intelligence. During the exhibition, one enthusiastic developer asked me a powerful question: “It’s great… “How and when would we actually use AI in our projects?” To answer this, I’ve created a simple yet powerful…
