iOS

Spec-Driven Development Using AI Agents: A Smarter Way to Build Software

Let’s Start With a Honest Question How many times have you jumped straight into coding, only to realize halfway through that you misunderstood the requirement? Or worse — you built exactly what was asked for, but not what was actually needed? If you’ve been in software development for more than a few months or years, […]

Quality Engineering

Meet Our Quietest Team Member: AI

Our Quietest Team Member: How AI Changed the Way I Think About Testing It doesn’t attend stand-ups. It doesn’t ask questions during meetings. It doesn’t even have a Microsoft Teams status. Yet somehow, it has become one of the busiest members of our QA team. It Joined the Team Without Anyone Noticing A few months […]

Project Management

Automate Weekly Report on Kanban Project – With Zero Additional Cost

Introduction Every Friday, before sending the weekly status report, I repeated the same routine: open the backlog, scan 60+ rows, identify what changed, extract blockers, update the RAID log, and reformat everything into a professional delivery report. It took 60–90 minutes every week, and almost none of it required real thinking – it was simply […]

Adobe

Adobe and Gen AI – Part 1: Getting Started with Adobe Skills

Introduction Generative AI is everywhere, and Adobe is no exception. From content creation to software development, Adobe is integrating AI across its ecosystem to help users work smarter and faster. In this blog series, we’ll simplify Adobe’s Gen AI ecosystem and explore the tools that can make a real difference in your day-to-day work. In […]

.NET

Cursor AI for .NET Developers: Coding Smarter, Not Harder

Cursor AI for .NET Developers: Coding Smarter, Not Harder Introduction Modern .NET development involves more than writing business logic. Developers regularly spend time creating boilerplate code, understanding unfamiliar codebases, debugging issues, writing tests, and switching between documentation and multiple tools. Cursor AI helps reduce that overhead by bringing AI-assisted code generation, code understanding, refactoring, debugging, […]

Divya
Divya
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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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BA

Streaming Without Barriers: Tech Innovations Driving Inclusive OTT for Every Ability

Inclusive OTT is better OTT: Friction down, loyalty up-streaming that welcomes all. For many viewers with hearing, vision, motor, or cognitive disabilities, “press play” can become a maze—interfaces and flows assume everyone can see, hear, navigate, and process content the same way. When accessibility isn’t built in, people don’t just struggle—they drop off. That’s why […]

Data Science

GCP: Building a RAG Pipeline with AlloyDB AI and Vertex AI

One Database, Infinite Context: Why Your Next RAG App Should Start in SQL: The biggest challenge in Generative AI is “hallucination.” Retrieval-Augmented Generation (RAG) solves this by giving an LLM access to your private data. While most RAG stacks require complex Python “glue code,” Google Cloud’s AlloyDB AI allows you to handle the entire retrieval […]

Data Science

Finding the Right GenAI Model for Right Task

Where It All Began The inspiration for exploring this topic arose while developing a POC to generate accurate graphical reports and charts from quantitative data. Naturally, the first thought was GPT. It’s everywhere—the “default” AI for almost any task. ChatGPT was given a try. It worked to an extent, displaying text-based charts or even generating […]

Harshit Wadhwa
Harshit Wadhwa
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