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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...
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,...
Introduction IT teams are constantly confronted with it-itself an indicator of bigger problems: manual incident resolution, repetitive provisioning, rising cloud costs, and compliance needs. Traditional solutions involve custom scripts, cron jobs, or expensive third-party tools. What if you could automate all of it, smartly, in one...
Introduction Generative AI (Gen AI) is changing the software testing world. As technology development accelerates towards its peak and the software are getting more complex, traditional testing methods struggle to keep up. From the repetitive manual tasks, to to endless regression cycles. That's where Gen AI has been a game-changer. It...
Artificial Intelligence has managed to move from research labs to boardroom conversations. Today, every technology leader is under pressure to “do AI.” Customers want personalized experiences, competitors are embedding AI into their offerings, and investors expect a clear AI strategy in every roadmap. But here’s the hard truth:...
