Ask HN: Is software engineering still a good career choice for new students?
Here's what they actually said:
- The Senior Software Engineer said: "LLMs are babies. If you don't understand the architecture behind everything, you won't be able to follow."
- The Google advocate pushed back slightly: "Writing code has become a commodity, like car manufacturing after automation. The question isn't whether to learn to code, it's why you want to."
- The IBM infrastructure engineer had the most actionable take: "Don't treat AI as a ghostwriter. Never commit code you can't explain. Use it as a tutor, not a replacement for your own thinking."
And many more
We also reacted to a clip of a Silicon Valley exec telling university graduates that "AI is the next industrial revolution" and getting booed by the crowd.
One of the more sobering parts: at current usage levels, Anthropic is likely losing money on heavy Claude subscribers. No inference company is profitable today. The Google advocate, who works on LLM inference at scale, put it directly: if we don't get significant inference efficiency improvements in the next five years, this entire ecosystem becomes unaffordable. And the NIVIDA have more details to talk about AI cost effectiveness
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[ 4.1 ms ] story [ 34.5 ms ] threadWhat's most interesting is now that vibe coding is expensive, will the AI slop go away, gradually?
"But someone's still responsible for the production systems when it fails. AWS had a couple of big outages last year because of AI. Even with humans reviewing it, review is review. If you're not writing the code, you'll not have spent enough time thinking about edge cases.". This is true and we cover software quality in the age of AI (https://youtu.be/oOt_0N1yQEw?t=2915).
"What's most interesting is now that vibe coding is expensive, will the AI slop go away, gradually?" As we said in this episode, "sometimes, AI is getting more expensive than paying a salary to a software engineer". We cover it here as well (https://youtu.be/oOt_0N1yQEw?si=r5tSHicWpJGWLQDL&t=3890) about AI real cost and AI cost effectiveness
The abstraction layer is being pushed higher
And the comparison to the music industry is fair, but the key difference is that in Software we had a Free/OSS movement for a while, and it did not kill the industry, on the contrary, it benefited from it.
I joined SE/DS/AI because I loved automation and research. And I have plenty of it on a daily basis no matter on what stage of its development compilers/llms are.
The rest are details and might be subjective. You don't need to understand LLM architecture to be able to use it - however this might be an interesting puzzle to solve. Many SE engineers don't write code and they did not write code even before LLM popped up - but they do research and solve design puzzles instead.
Good luck.
Apple Podcast: https://podcasts.apple.com/us/podcast/should-you-still-becom...