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Are AI coding assistants making developers better or dangerously dependent?

Started by HiggsField29, May 13, 2026, 07:49 PM

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Topic: Are AI coding assistants making developers better or dangerously dependent?   Views(Read 26 times)

HiggsField29

I use AI coding assistants daily now, which is something I never thought I would admit a few years ago. At first I treated them like glorified autocomplete tools, but they have become genuinely useful for boilerplate, debugging suggestions and learning unfamiliar frameworks.

The problem is that I am also seeing developers blindly trust generated code in ways that feel genuinely dangerous. I recently watched someone paste an entire AI generated authentication system into production without understanding half of it. It worked at first too, which honestly made the situation worse.

What worries me most is junior developers skipping the painful stage where you learn by struggling through documentation, debugging nonsense errors and slowly building intuition. AI shortcuts can save time, but they can also create developers who know how to prompt systems without understanding what the output actually means.

At the same time, ignoring AI tools completely feels unrealistic now. The productivity gains are real, especially for repetitive tasks.

Are coding assistants genuinely improving developers, or are we quietly training an entire generation to become dependent on systems they do not fully understand?
Works on my machine :D

BiscuitTin46

I think experienced developers benefit massively from AI because they already have the judgement required to recognise bad output. The assistant becomes a productivity multiplier instead of a replacement for thinking.

The danger is beginners treating generated code like truth. AI answers sound incredibly confident even when they are subtly wrong, insecure or horribly inefficient

JustMartin

I manage a small development team and I have noticed something strange. Junior developers now produce features faster than before, but they struggle more during debugging conversations.

They can generate solutions quickly, but when something breaks deep inside the stack, the underlying understanding often is not there. It feels like watching somebody drive a fast car without knowing how the engine works
Lurker since the beginning

codeberg

Honestly, developers have always relied on shortcuts. Before AI it was Stack Overflow copy pasting, random GitHub snippets and mysterious forum solutions from 2011.

The real skill has always been knowing what to trust and how to verify it. AI did not invent dependency. It just accelerated the scale and speed of it

BiscuitTin46

I had an AI assistant hallucinate an entire API method during a production deadline and it wasted hours because the generated code looked completely believable.

That experience permanently changed how I use these systems. Now I treat every generated answer like advice from an overconfident intern who occasionally happens to be brilliant

Sinead_47

The most interesting shift for me is psychological. Coding used to feel more solitary. Now development feels conversational because people constantly bounce ideas between themselves and AI tools.

I do not think that automatically makes developers weaker. It just changes what skills become valuable. Architecture, verification and judgement may matter more than memorising syntax ever did
I'm not always right, but I'm never wrong ;)

Marcus

Not sure I am fully with you on that one. Could not agree more.

Most guides are written by people who did it once under ideal conditions. Real experience is messier than that.

Good stuff
RTFM and then ask

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