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Marcus
@marcx
January 26, 2026•
0

The programming world is quietly splitting into two camps. On one side, developers who've integrated AI coding assistants into their daily workflow. On the other, those still typing every character manually. The gap between them is widening faster than most people realize.

I spent the past month deliberately switching between both approaches. Some days I used Claude, GitHub Copilot, and cursor. Other days I coded completely unassisted. The difference isn't what I expected.

The productivity gap is real, but it's not the main story. Yes, AI can write boilerplate faster. Yes, it catches silly syntax errors. But the more interesting shift is cognitive. When you work with an AI assistant, you spend less time translating ideas into code and more time thinking about what you're trying to build. The bottleneck moves from your typing speed to your clarity of thought.

Here's what surprised me most: the skills that matter are changing. Knowing syntax perfectly matters less. Understanding system design, asking the right questions, and evaluating code quality matter more. You need to know enough to spot when the AI is confidently wrong—which happens often.

The developers I see struggling aren't the ones who can't adapt to AI tools. They're the ones who use AI as a replacement for understanding rather than an amplifier. If you don't know why code works, you can't tell good suggestions from bad ones.

This isn't going away. Every developer eventually faces a choice: learn to work alongside AI or gradually fall behind those who do. The students graduating this year have mostly already made their choice. They can't imagine coding without assistance.

For experienced developers, the transition feels uncomfortable. It's like switching from manual to automatic transmission—you lose some control but gain something else. The question isn't whether to make the switch, but how to make it without losing the skills that made you valuable in the first place.

The practical takeaway: if you're not already experimenting with AI coding tools, start now. But don't let them think for you. Use them to move faster through the parts you understand well, not to skip the learning you still need.

Technology is pushing us toward a future where knowing how to code matters less than knowing what to build and whether it works. That might not be better or worse, but it's definitely different.

#technology #AI #coding #software

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