Tech News, AI, Software Development & Innovation Explained Simply
In today’s digital world, data is the foundation of every application — from banking platforms and e-commerce websites to AI assistants and recommendation engines. But not all data is the same, and that’s why different types of databases exist. Traditionally, systems relied on SQL databases to manage structured data. As…
Writing software is not just about making things work — it is about making them easy to understand, easy to change, and safe to grow. As applications become larger and more complex, small design mistakes can turn into big problems like bugs, slow development, and high maintenance costs. That is…
In today’s cloud-native and microservices-driven world, delivering fast, secure, and highly available web applications is no longer optional — it’s expected. Two critical components that make this possible are Load Balancers and Reverse Proxy. Although these terms are often used interchangeably, they solve different problems and offer different benefits. Understanding…
As modern applications move toward microservices, cloud-native architecture, and AI-powered systems, new infrastructure patterns are emerging alongside traditional ones. Two such important concepts are API Gateway and MCP (Model Context Protocol). While both often appear in discussions around modern platforms, they serve very different purposes. In this article, we’ll explore:…
Generative AI is changing the way we create content, build software, design products, and interact with technology. From writing code and generating images to composing music and simulating human conversation, Generative Artificial Intelligence has become one of the most impactful innovations of the decade. In this guide, we’ll explore what…
In modern software development, data formats play a critical role in how applications store, exchange, and manage information. Two popular formats that often come up are JSON (JavaScript Object Notation) and TOML (Tom’s Obvious, Minimal Language). While both look similar at first glance, they serve different purposes and shine in…
Artificial Intelligence has become an essential part of modern digital workflows. From writing content and generating images to building applications and automating tasks, AI can do a lot—but only when it clearly understands what you want. This is where prompt generation tools play a critical role. Many users struggle to…
Artificial Intelligence has moved far beyond simple prompt-and-response systems. Today’s applications require memory, tool usage, workflow orchestration, and even decision-making logic. This growing complexity is exactly why Microsoft introduced Semantic Kernel. Semantic Kernel is a modern AI orchestration framework designed to help developers build scalable, maintainable, and production-ready AI-powered applications.…
Modern applications are no longer built as one massive block of code. Instead, they are broken into smaller, independent services that work together — a concept known as microservices architecture. While microservices bring flexibility and scalability, they also introduce new challenges such as service communication, observability, security, and configuration management.…
Overview As AI models continue to improve, expectations from them are also increasing. Today, AI is expected not only to answer questions but to take action, integrate with systems, and operate within real business workflows. However, large language models are isolated by design — they don’t naturally know how to…