Artificial Intelligence

Claude writes 3,000 lines of code. Tests pass. The feature works. The deadline is met. And yet something feels wrong. Not broken. Not unsafe. Just… unsettled. This is not impostor syndrome. It is not resistance to change. It is not fear of AI “taking over.” It is a deeper,

For a brief moment in history, “Prompt Engineer” sounded like the job title of the future. It made sense: suddenly, the ability to phrase instructions correctly could unlock astonishing results from large language models. People who knew how to ask got dramatically better answers. But this framing is already showing

Every few years, software engineers are told—confidently—that this time is different. That the next abstraction, the next framework, the next breakthrough will finally make us obsolete. AGI is simply the latest version of that story. The anxiety is understandable. Today’s AI models write code faster than most

There is an uncomfortable truth many experienced engineers are starting to notice but rarely say out loud: Coding with AI agents makes us faster, but often less engaged. Not bored. Not frustrated. Just… less interested. This is not a complaint about AI quality, nor a rejection of progress. It is

In the current era of AI, technology evolves faster than ever. Every few months, a new framework, SDK, or specification emerges, promising to make development easier, faster, and smarter. Many believe that “spec-driven skills” — the ability to quickly learn and apply what’s written in documentation — are all that matter