Reply to AI now writes 25% of code in the US: Should Computer Science students rethink their career plans?

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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous]Hmm.  At my work we have a custom IT project and are employing developers and there's no out of the box AI that will work for our purposes.

They are turning on AI features all over the place and encouraging us to use it.   But apparently it's not available for the purpose where we actually would like to try it.[/quote]

What I find interesting is the reason that AI is able to code currently is because it’s been trained on tons of code and stack overflow questions.  If nobody is creating new code or asking new questions on SO, where does new original content come from?

I do admit that ChatGPT does an excellent job of writing specific snippets of code; you’ll still need someone good to understand and integrate, and to design the system architecture.[/quote]

As a software engineer I tried a snippet of code from Google Gemini once. It was wrong.

I have co-workers who swear by various code AIs to give them ideas, but even they have to already understand the language and algorithms in order to filter the junk from the useful bits.

And like you said, whose writing the new, fast compression algorithm (insert Silicon Valley TV show reference here) if it's all just regurgitated SO question answers - of which I have personally written many.[/quote]
yes, you can use AI to generate the code but you still need a human to QA it.

My CS major kid said he uses AI to check his work.  He still needs to be able to write the code to understand what the AI is spitting out.[/quote]

It's this.  Kids who are integrating AI into their work are highly sought after because it makes a SWE much more efficient, however, you need to know your stuff to begin with, to quickly see where it may be making an error and correct it.

My kid works at a start-up and that start-up did an analysis and said that it would cost them $1MM/year to use AI instead of hiring a human SWE. However, even they admit it is really just a simplistic analysis of how much they would spend on using an LLM and other hard costs and it assumed that the AI they use is super reliable.  That number was like $3MM the year before, so it is coming down, though they expect the rate of decrease will reduce...it needs to get much lower than the cost of a human (say $100k for these positions) to decide they won't hire that next SWE and instead use AI (managed by the existing force).

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