MSP

Designing Scalable AI Systems: RAG vs Long Context Trade-offs Explained

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 […]

Quality Engineering

Building with LLMs: A Hands-On Experiment with Legal Research and Drafting

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 navigating large volumes of text. Over the past few months, […]

BA

The Role of Identity Verification in the Digital Transformation of Wagering Platforms

The Ninety-Second Sign-Up Live match in the evening of a Friday night. The punter, a loyal football fan as well, picks up his mobile device and downloads an online gambling app. They enter their name, their date of birth and take a snap of their driving licence. Done! Their betting account gets verified within seconds. […]

Quality Engineering

Leveraging AI to Enhance Test Case Coverage in Manual Testing

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. […]

BA

From Paperwork to Smart Decisions: How AI Is Shaping the Business Analyst Role

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 changing at a fast pace […]

Ritika Gupta
Ritika Gupta
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Quality Engineering

Integrating AI into Selenium Test Automation with MCP

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. Context: Where AI-Assisted Testing […]

Python

Exploring Agentic AI for Automation

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 […]

MSP

Enhancing the Power of Amazon Q: Integrating Open-Source MCP Servers and Creating Seamless AWS Architectural Diagrams

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 – Isn’t it amazing? You will be surprised to know it was not created manually by draw.io or any other […]

Rayan Ahmed
Rayan Ahmed
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Android

Getting started with GitHub Copilot – A beginner’s guide

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, and Neovim. How GitHub Copilot Works Internally GitHub Copilot is designed to act as an AI-powered coding assistant that […]

Renu Chauhan
Renu Chauhan
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