Agentic AI is being marketed as the next leap in intelligence. In reality, most “agents” today are nothing more than: A language model inside a while-loop with tool access. We call that autonomy. It isn’t. If you strip away the branding, what remains is a probabilistic planner issuing instructions in a loosely controlled environment. The […]
We are entering an era where software no longer waits to be called. It observes, decides, and acts. This shift is often described with a single word—agentic. But most discussions around agentic AI confuse motion with intent, and autonomy with understanding. As a result, we risk building systems that feel powerful while remaining fundamentally shallow. Agentic AI is not a breakthrough
Generic rule engines usually don’t start as a bad idea.They start as a reasonable reaction to repeated pain. Too many conditionals.Too many releases for small logic changes.Too many “just change this one if-condition” requests. So someone proposes a rule engine. And slowly, quietly, the system rots. The Real Motivation (Not the Stated One) Teams say they want:
Most systems don’t fail because something went wrong.They fail because no one decided what should happen when things go wrong. Error handling is treated as a defensive afterthought — try–catch, logs, alerts—when in reality it is one of the core mechanisms by which a system expresses control. Control over state, over flow, over responsibility, and over blast
Modern web performance problems are rarely about “slow JavaScript” or “heavy pages” in isolation. They are usually the result of misunderstandings about how the browser renders the DOM, how often it re-renders, and which operations force the browser to stop, recalculate, and repaint. DOM rendering is not a single step—it is a tightly coupled pipeline
On paper, the system was clean. Clear boundaries. Well-defined services. Events flowing neatly through queues. Every component had a responsibility, every responsibility had an owner. It looked exactly like what you’d want to explain on a whiteboard. In production, it slowly fell apart. Not catastrophically. Not in a way that triggered alarms or postmortems right