2 weeks of work… finished in 2 hours.
Today I experienced something that perfectly captures the shift happening in software development.
Using AI-assisted coding, I was able to build and ship something in just a couple of hours that would normally take close to two weeks. The kind of work that usually involves reading documentation, wiring things together, debugging issues, fixing edge cases, and going back and forth — compressed into a single focused session.
It felt incredible.
AI removes a lot of friction. It accelerates setup, suggests solutions instantly, and helps move from idea to execution faster than ever before. The productivity jump is real, and honestly, hard to ignore. We are entering a phase where building things has never been easier.
But somewhere in that speed, a different thought started to surface.
When most of the implementation comes from AI, are we still learning the fundamentals the same way?
Are we understanding systems deeply, or just validating what AI generates?
What happens when something breaks in production and there’s no ready-made answer?
Will we still have the patience — and the skill — to trace issues end-to-end and truly understand them?
Earlier, the slow process of building was also the learning process.
We read more. We debugged more. We struggled more.
And in that struggle, we built depth.
Today, execution is becoming fast and almost effortless. That’s a huge advantage — but it also means depth will no longer come automatically with time spent coding. It will have to be intentional.
AI is not replacing developers. If anything, it is amplifying what we can do.
But the developers who stand out will likely be the ones who can balance both worlds: leveraging AI for speed while still holding on to strong fundamentals, critical thinking, and real understanding of systems.
Because when execution becomes easy,
true expertise becomes the differentiator.
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