Welcome to HN. This isn't a place for hosting your blog posts. Instead why not put this on an external site, expand on it a bit, and submit a link? Thats how HN works.
>Large Language Models (LLMs) frequently generate syntactically convincing C++ code that masks subtle data races, lifetime issues, or cache-unfriendly patterns under multi-threaded loads. Relying on automated tools or AI output without experienced human architectural oversight leaves teams vulnerable to silent, catastrophic failures that only deep domain experience can prevent.
I think this is a rather out dated view. I'd argue the frontier models write better C/C++ code than many, many, many junior devs.
With that said, I agree with your larger assessment of needing to keep junior devs and teaching them things that are likely never written down and only kept in the mind of a gray beard.
The solution needs improved documentation and mentorship, not just hiring junior devs. And unfortunately I dont think the way things are heading companies are willing to invest. Why have a $150k+ overhead on a junior dev when $50k in token costs for a senior dev will take care of things?
This is definitely true. Opus _will_ write better C++ code than any non-10k-hours-C++ coder. If the code fits the intended architecture or design is on another page.
But models past Opus 5.5 level abilities will make less errors than the normal above-average human coder.
Yeah, this is a thing I’m really concerned about as well. I’m not in the C++ environment, but I think this issue spans the field.
We are feeding our children to AI, and when that runs out and the seniors retire, then what?
I don’t see a good solution to this problem. But I can recognize a train off in the distance coming at me at high speed.
Welcome to HN. This isn't a place for hosting your blog posts. Instead why not put this on an external site, expand on it a bit, and submit a link? Thats how HN works.
>Large Language Models (LLMs) frequently generate syntactically convincing C++ code that masks subtle data races, lifetime issues, or cache-unfriendly patterns under multi-threaded loads. Relying on automated tools or AI output without experienced human architectural oversight leaves teams vulnerable to silent, catastrophic failures that only deep domain experience can prevent.
I think this is a rather out dated view. I'd argue the frontier models write better C/C++ code than many, many, many junior devs.
With that said, I agree with your larger assessment of needing to keep junior devs and teaching them things that are likely never written down and only kept in the mind of a gray beard.
The solution needs improved documentation and mentorship, not just hiring junior devs. And unfortunately I dont think the way things are heading companies are willing to invest. Why have a $150k+ overhead on a junior dev when $50k in token costs for a senior dev will take care of things?
This is definitely true. Opus _will_ write better C++ code than any non-10k-hours-C++ coder. If the code fits the intended architecture or design is on another page.
But models past Opus 5.5 level abilities will make less errors than the normal above-average human coder.
Did you use an AI to write this in order to achieve maximum irony?