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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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Stop Tedious Test Data Setup: Introducing vTMockDataForge for Effortless C# Object and List Mocking
Read This Post: Stop Tedious Test Data Setup: Introducing vTMockDataForge for Effortless C# Object and List MockingAs developers, we’ve all been there-facing a complex object model that needs to be filled with realistic data for testing, demos, or seeding a database. And what does that usually mean? You’ve seen code like this far too often: Now imagine replacing all that with: That’s not magic — it’s vTMockDataForge. Meet vTMockDataForge vTMockDataForge is a lightweight,…
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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…
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Creating a Singing and Dancing Santa Cap with BBC’s ‘micro:bit V2’ and Python
Read This Post: Creating a Singing and Dancing Santa Cap with BBC’s ‘micro:bit V2’ and PythonIntroduction As the holiday season approaches, there’s no better way to combine festive cheer and technology than with a singing and dancing Santa cap. This project uses a Microbit V2, Python code, and a few additional components to create an interactive hat that responds to loud sounds by playing “Jingle Bells” and dancing. Here’s how…
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Building APIs in 7 Distinct Ways with .NET (gRPC, Carter, Controller, FastEndpoints, GraphQL, Minimal, and Scalar): A Comprehensive Guide with K6 Performance Testing
Read This Post: Building APIs in 7 Distinct Ways with .NET (gRPC, Carter, Controller, FastEndpoints, GraphQL, Minimal, and Scalar): A Comprehensive Guide with K6 Performance TestingIntroduction In the evolving landscape of API development, selecting the right framework and approach is crucial to addressing your project’s specific needs. This solution demonstrates the creation of Employee CRUD APIs using seven distinct approaches in .NET 9.0, showcasing diverse technologies and methodologies. To ensure reliability and performance, K6 scripts have been meticulously crafted for each API type, automating validation…
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End-to-End Guide: Building a Real-Time e-Coffee Shop Using Aspire.NET, Angular, SQL, PostgreSQL, Redis, and RabbitMQ
Read This Post: End-to-End Guide: Building a Real-Time e-Coffee Shop Using Aspire.NET, Angular, SQL, PostgreSQL, Redis, and RabbitMQIntroduction to Aspire.NET for Distributed Applications NET Aspire, introduced with .NET 8, is a groundbreaking platform for building distributed, cloud-native applications. Designed specifically for production-ready, microservice-based architectures, Aspire simplifies complex cloud tasks like service discovery, telemetry, and health monitoring. Through its comprehensive set of NuGet packages, it equips developers to easily manage databases, messaging, caching,…
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vTCacheSyncMaster: Caching Strategy and API Fallback
Read This Post: vTCacheSyncMaster: Caching Strategy and API FallbackvTCacheSyncMaster I’m thrilled to announce the release of my 2nd new NuGet package:vTCacheSyncMaster is a powerful caching solution that seamlessly integrates with various distributed cache providers. These providers include Redis, Azure CosmosDB, SQL Server, Memory Cache, and NCache. Also it will help you optimize your code to single line!If the requested data is unavailable in the cache, the package will automatically…
