Struggling with unclear emails or updates? Learn how techies can use McKinsey’s Pyramid Principle to write with clarity and impact.

In IT, we chase precision. We build scalable architectures. We refactor code to remove ambiguity. We enforce strict types, linters, version control. But strangely, when it comes to our communication, —ambiguity wins. “Code not working. Help?” “Will do the needful.” “Some modules in progress.” Vague updates, cryptic status reports, jumbled

The project was marked “done.” Every feature was delivered. Yet, the client wasn’t happy. A real-world reminder that checking boxes isn’t the same as delivering value — and how bridging the business-tech gap can turn things around.

Most IT projects don’t fail because of bad code — they fail because of gaps in understanding. I saw this firsthand on a project that looked perfect on paper… until it wasn’t. Here’s the story, the lessons, and a simple framework to prevent it.

The challenge wasn’t fixing the tech issue. The real test? Explaining it to stakeholders — clearly, quickly, and without a PPT. ChatGPT helped me nail that.

A real-world debugging story: A legacy SQL Server job failed, the team hit a wall, and ChatGPT solved what we couldn't in an hour — in just five minutes. Here's how.

In today's fast-paced world, where technological advancements and rapidly changing business landscapes have become the norm, the ability to effectively transfer knowledge has emerged as a critical skill. Whether it's sharing expertise within teams, onboarding new employees, or facilitating seamless transitions during organizational changes, mastering the

Wrapping your heads around CQRS(Command Query Responsibility Segregation) pattern is a bit tricky & implementing it is all the more difficult. I have seen over the years that engineers straightaway go for implementing it with the help of some tutorials over the internet(I also did so) which, I

I will begin this article with a simple statement - The choice to use a NoSQL database is often based on hype, or a wrong assumption that relational databases cannot perform as well as a NoSQL database. So, in a way, performance becomes the only deciding factor & the other