Introduction Every AI tool we use daily, Cursor for coding, ChatGPT for everything else, runs on the same underlying economy: tokens. Every word it sends back costs tokens, and every word already in the conversation gets re-read, and re-billed, on every reply after that. Most sessions burn through far more of that budget than they […]
Introduction A settings screen that normally took most of a day was built in under an hour using an AI coding agent. This made us explore tools like Cursor, GitHub Copilot, and Claude Code in a real React Native sprint. The goal wasn’t just to see if AI could write code, but to determine whether […]
As a tester, I have always tried to improve efficiency without compromising quality. Over the past year, AI tools have become a part of many testing workflows, including mine. When I first started using AI, I thought that it would be very easy, like: Just ask a question. Answer will be generated Use the output. […]
Introduction Let’s imagine that you are the manager of a huge library and thousands of books come in and go out every day. Now, your job is to make sure that every book is in the right place, every label is correct, and none of the book is missing. Now imagine if you are doing […]
Introduction For most of my time as a Java developer, my daily work has been centered around building backend systems — designing APIs, implementing Spring Boot services, integrating databases, and solving performance issues in distributed systems. But over the past year, one topic has been impossible to ignore in the tech world: Artificial Intelligence and […]
Introduction A typical day as a Delivery Manager is… rarely predictable. Some days feel planned, but most are a mix of shifting priorities, follow-ups, stakeholder conversations, and last-minute escalations. There’s always something that needs attention, and it doesn’t take much for things to get messy – one missed update or unclear communication can quickly snowball […]
The development of software testing has grown with the appearance of AI and intelligent automation tools. The current teams are able to provide a faster, reliable, and scalable application like never before. However, even with such improvements, much of the QA is manual. Tasks like: Writing test cases Creating test data Maintaining documentation Company review […]
Introduction When we see any LLM model names like GPT-4o, Claude 3 Sonnet, or LLaMA-2-7B-chat we wonder why companies give such weird names to their models. But let me tell you, these names have lots of meanings inside it. They provide lots of information about that model. Common Patterns: Suffix […]
Introduction Every LLM you’ve ever used is stuck in the past. It knows everything up to its training cutoff and nothing after. It also does not know about your internal documents,your private codebase,or what just happened 5 mis ago. So if you want a model to actually be useful in a real time production environment,you […]
