this post was submitted on 11 Sep 2024
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Programming

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Over the past few years, the evolution of AI-driven tools like GitHub’s Copilot and other large language models (LLMs) has promised to revolutionise programming. By leveraging deep learning, these tools can generate code, suggest solutions, and even troubleshoot issues in real-time, saving developers hours of work. While these tools have obvious benefits in terms of productivity, there’s a growing concern that they may also have unintended consequences on the quality and skillset of programmers.

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[–] dinckelman@lemmy.world 24 points 2 months ago* (last edited 2 months ago) (7 children)

Anything that allows people to blindly and effortlessly get results inherently makes them more stupid. Your brain is like any muscle. You need to repeatedly use it for it to work well

[–] DScratch@sh.itjust.works 13 points 2 months ago (6 children)

I’ll bet people said the same thing when Intellisense started suggesting lines completions.

And when errors were highlighted in the code rather than console output.

And when high-level languages started appearing.

[–] u_tamtam@programming.dev 8 points 2 months ago

I’ll bet people said the same thing when Intellisense started suggesting lines completions.

I'm sure many did, but I'm also pretty sure it's easy to draw a line between code assistance and LLM-infused code generation.

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