Can you talk about AI like a master and hype everybody up on how you're going to 20x their PRs? This is what potential employers like to hear. You don't really need any skills per-say, so long as you can talk the talk and use AI to write your emails and maybe even generate a plausible employment history on your CV, you got this, no prob. Go get 'em tiger.
an Ai is only as good as the person driving it, expertise in languages, tools, and company code bases is still very relevant
case in point, I explained the change to a CTO and their agent, got asked to review, and it missed the point - even as the CTO of the company, they lacked to nuanced understand I have as the author of the code, to notice the obvious error
AI being only as good as the person driving it is becoming less and less true with each passing month. If I were to hire tomorrow a developer for my company The least I would focus on is his expertise in languages. It just doesn't seem to matter anymore how good you are at a language for the vast majority of software development cases.
If I had to say, I think steering in the AI to achieve a certain task is one of the main broad skills you need to have, but what that means exactly is a little bit hard to define. It's less about knowing exactly what to tell the AI and more about knowing how to break down a problem, give it the right context, recognize when it’s going in the wrong direction, and keep it moving toward the outcome you actually want and doing all that in the most efficient way you can.
> AI being only as good as the person driving it is becoming less and less true with each passing month.
I'll believe when I see credible evidence and evals, everyone is making claims, the evidence I see IRL points elsewhere (vibes still, but actual evidence and cases to the contrary)
A good self check is to go read Terence Tao's conversation with ChatGPT, we developers could never do something like that, and tend to extrapolate our expertise to other fields where it is not warranted, even within our own domain. Another check is all the app slop we still see from non-developers. Cool and I encourage for personal learning / usage, but not for other users and putting them at risk.
I'm wondering how this plays out in the interview process though, just a year or two ago it was still leetcode and hours upon hours of technical interview. Has that changed in the context of LLMs? If you were hiring, how would you go about it? Does knwoing python really matter anymore? In my shop it 100% does not, and I'm guessing that in the 75% of posts in Who's Hiring that are for Ai startups it also does not, just curious to find out if thats true.
Can you talk about AI like a master and hype everybody up on how you're going to 20x their PRs? This is what potential employers like to hear. You don't really need any skills per-say, so long as you can talk the talk and use AI to write your emails and maybe even generate a plausible employment history on your CV, you got this, no prob. Go get 'em tiger.
Do you know how to code in any language?
an Ai is only as good as the person driving it, expertise in languages, tools, and company code bases is still very relevant
case in point, I explained the change to a CTO and their agent, got asked to review, and it missed the point - even as the CTO of the company, they lacked to nuanced understand I have as the author of the code, to notice the obvious error
AI being only as good as the person driving it is becoming less and less true with each passing month. If I were to hire tomorrow a developer for my company The least I would focus on is his expertise in languages. It just doesn't seem to matter anymore how good you are at a language for the vast majority of software development cases.
If I had to say, I think steering in the AI to achieve a certain task is one of the main broad skills you need to have, but what that means exactly is a little bit hard to define. It's less about knowing exactly what to tell the AI and more about knowing how to break down a problem, give it the right context, recognize when it’s going in the wrong direction, and keep it moving toward the outcome you actually want and doing all that in the most efficient way you can.
> AI being only as good as the person driving it is becoming less and less true with each passing month.
I'll believe when I see credible evidence and evals, everyone is making claims, the evidence I see IRL points elsewhere (vibes still, but actual evidence and cases to the contrary)
A good self check is to go read Terence Tao's conversation with ChatGPT, we developers could never do something like that, and tend to extrapolate our expertise to other fields where it is not warranted, even within our own domain. Another check is all the app slop we still see from non-developers. Cool and I encourage for personal learning / usage, but not for other users and putting them at risk.
I'm wondering how this plays out in the interview process though, just a year or two ago it was still leetcode and hours upon hours of technical interview. Has that changed in the context of LLMs? If you were hiring, how would you go about it? Does knwoing python really matter anymore? In my shop it 100% does not, and I'm guessing that in the 75% of posts in Who's Hiring that are for Ai startups it also does not, just curious to find out if thats true.