Category Tech Trends

In world of software development, the role of a software architect often appears to stand at the top of the technical leadership ladder. With that responsibility comes an even greater need for continuous learning and adaptation. As someone who's spent years in the trenches of cloud architecture, I can tell you that the moment you stop learning is the moment you start becoming obsolete.

The Shifting Sands of Technology

Let's face it: the tech landscape is changing …

As someone who has spent decades at the forefront of the tech industry, I've seen firsthand how emerging technologies can disrupt the status quo. With the rapid advancement of artificial intelligence (AI), it's natural to wonder about its potential impact on the job market, particularly for roles that rely on uniquely human skills. However, I believe that most human-centric jobs, including writers, actors, and lawyers, will not only survive but thrive in the age of AI.

The recently …

In the rapidly evolving world of artificial intelligence (AI), getting caught up in the hype is easy. After all, computer intelligence appears poised to surpass human intelligence in every domain.

However, despite the remarkable progress AI has made in recent years, there are still areas where humans maintain a clear advantage. According to Stanford University's AI Index report for 2024, AI systems continue to lag behind human performance in tasks that require complex cognitive abilities, such as …

The world of artificial intelligence (AI) is undergoing a profound transformation, and at the heart of this change is the rise of open-source AI models. According to Stanford University's AI Index report for 2024, a remarkable 65.7% of the 149 foundation models released in 2023 were open-source, up from 44.4% in 2022 and 33.3% in 2021. This shift towards open-source AI is not just a passing trend; it's a movement that is redefining the very nature of AI …

GitHub has published research on the growth and impact of AI on software development. Among their findings is that developers write code “55% faster” when using the GitHub Copilot code automation tool.

But this finding doesn’t tell the whole story. Is this code high-quality? Is this code necessary? Is the code contributing to the long-term value of our applications? Does the code contribute to the operation of the application in a clear and concise manner? …