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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:...
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...
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 ...
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 Meaning Turbo...
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 have to address...
Introduction Legal research has always been a text-heavy discipline. Lawyers spend a large portion of their time reading statutes, studying judgments, identifying precedents, and translating legal reasoning into structured documents such as petitions and briefs. Even with modern legal databases, the core workflow still involves...
Introduction One year ago, I was suggested to use AI to write test cases. I got confused at that time — can AI really write test cases the way we do? But then I thought, if AI can do so many things, why not test case writing? So, I decided to give it a try. Over time, I realized that AI in testing is not just helpful for writing...
For a long time, being a Business Analyst (BA) mainly meant dealing with documentation, like business and functional requirement documents, process flows, and traceability matrices. While these documents were important, they often made the BA seem more like a note-taker than an important part in making decisions. But things are...
Over the past year, I’ve been exploring how AI can assist in test automation. After working with various LLM-powered assistants and code-generation tools, I recently built a complete Selenium framework using the Model Context Protocol (MCP). In this post, I’ll share my technical insights, what worked, and what challenges I faced. ...
The other day, my client asked for something that sounded simple at first - he wanted an alert in his inbox whenever the date changed on a specific website. And, of course, the first thought that came to my mind was: “Yes, that’s doable with Python!” Because that’s what I have always done in my analytics journey - write code to...
Introduction In this blog, we will explore how to integrate an open-source MCP server with Amazon Q and unlock its enhanced capabilities, creating seamless architecture diagrams generation. Take a look at this architectural diagram below - [caption id="attachment_76797" align="alignnone" width="946"] Diagram generated by Amazon Q +...
Introduction Copilot is an AI-driven conversational assistant that enhances developer productivity by delivering contextual support, automating repetitive actions, and offering data insights within workflows. It also provides documentation assistance directly within supported code editors such as VS Code, Android Studio, JetBrains,...
