Are we actually becoming better engineers with AI code assistants, or just faster copy-pasters?
Are we actually becoming better engineers with AI code assistants, or just faster copy-pasters?

Are we actually becoming better engineers with AI code assistants, or just faster copy-pasters?

I have been using different assistants (GitHub Copilot, Cursor, Windsurf, Augment Code) across real projects. No doubt, the speed boost is insane with the power from these tools to generate boilerplate, test cases, even scaffolding full features in minutes.

But I keep asking myself:

Am I actually learning more as an engineer… or am I outsourcing the thinking and just verifying outputs?

When I was coding before these tools, debugging forced me to deeply understand the problem. Now, I sometimes skip that grind because the assistant “suggests” something good enough. Great for delivery velocity, but maybe risky for long-term skill growth.

On the flip side, I have also noticed assistants push me into new frameworks and libraries faster, so these days I explore things I wouldn’t have touched otherwise. So maybe “better” just looks different now?

Curious where you stand:

  • Do these tools make us better engineers, or just faster shippers?
  • And what happens when the assistant is wrong — are we equipped to catch it?
submitted by /u/Softwaredeliveryops
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