Java/JVM

From Java APIs to AI Curiosity : Exploring Large Language Models as a Java Developer

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 […]

Project Management

Making Delivery Work Manageable: AI Tools That Actually Help

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 […]

Quality Engineering

QA Workflow Automation using n8n and AI

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 […]

Data Science

Naming Conventions of LLM Models

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            […]

Sudarshan
Sudarshan
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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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