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Are you doomed learning coding in the AI era?

Daniel Possible Kwabi on February 06, 2026

I pity all those learning to code post chatgpt "They'll never know the feeling of finally solving a problem after going at it for 24 hours." I he...

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Ned C • Feb 13

the framing shift is important here. learning to code with AI isnt cheating, its just a different skill. you still need to understand what the code does, you still need to debug it when it breaks, and you still need to know enough to tell the AI when its wrong.

if anything AI raised the bar for what counts as useful knowledge. memorizing syntax is less valuable now but understanding architecture, tradeoffs, and debugging is more valuable than ever. the people who treat AI as a replacement for learning will plateau fast. the ones who use it as a learning accelerator will go further than any of us did.

Daniel Possible Kwabi • Feb 13

I get you, I really do but people do use it to "cheat" and end up not learning anything

Ned C • Feb 14

fair point. the distinction i'd draw is between using AI as a shortcut to skip understanding vs using it as a tool to accelerate learning. someone who copies AI output without reading it isn't learning, but someone who uses it to explore patterns, then modifies and tests the code, is learning faster than reading docs alone. the tool isn't the problem, the intent is.

Fit Happens ML • Feb 10

To be honest I think that PM skills are now more important than coding skills.

Daniel Possible Kwabi • Feb 11

You are on to something surely

Julien Avezou • Feb 6

On the contrary, this is a golden era to start coding. But avoid too many shortcuts, its important to keeping learning software fundamentals. System design and theory are increasingly important in the age of AI. And so is product mindset an design, with the ability to shape products through fast iterations.