At first, AI assisted coding felt exciting because of how quickly ideas could turn into working features. But over time, I started noticing that speed sometimes comes at the cost of understanding the deeper architecture behind the code. Fixing issues inside logic that was rapidly generated can end up taking far longer than writing critical parts manually from the start. Are we building sustainable software with these tools, or just creating faster layers of technical debt?

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Or maybe we should discuss the irony that groups like this exist because AI is putting everyone out of work.

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Everyday there's always news on how it's replacing little percentage of a workforce

Very fair question. And good insight. I haven’t noticed too much of that but can see how it could occur

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Thank you

From the QA tester perspective over time it can cause bugs that humans wouldn’t have created. Any testing it creates will pass. If the developer is analyzing the code and the tester is analyzing the tests it created and both add or make changes to make sure it is 100% then it could be as good as before AI, but blindly putting out what it gives you and using on its test there will eventually cause bugs.

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I have experienced it before.

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