Nice! Although if you have new young team - things look different. Also, to be fair, agentic dev is something that might be just the right answer for the future.

And tbh it get things done very quickly. So, it is also very hard to argue, for a different coding style

yep, 50% chance imo

Actually not worried about unemployment. This is an awesome development thing - called technological progress.

PS: Compare Assembly with Python - for sure the ration is more then 10x. Still we need much more devs compared to early days. For me the question is what the future software dev looks like (if the job still exists).

Maybe try claude. Also people are orchestrating AI for example with ralph. I think it is possible to write pretty decent, test driven, code with AI

Agree, especially a review is always an knowledge update/exchange and for juniors a learning experience. If it is AI generated, its just not worth the time.

Not sure tbh. The labs which are creating the AI - definitely know what they are doing, and its incredible. Would just argue that the AI will become only better in the future

They are interested in money and ads. We cannot expect anything good from openai, anthropic, meta, google.

We had a couple of decades of brilliant engineers working for faang. What did we get as a result? Just crap: twitter, instagram, youtube, facebook. Imagine all those brilliant minds working on something meaningful instead.

Same goes for LLMs

Respectfully, I am starting to find "AI will become only better in the future" to be a cheap and empty statement. Optimism is good but it does not take into consideration the tremendous nuance of the topic and current thread.

There seems to be two likely outcomes. First the value of education drops, since studying becomes much easier. Second, we will have few young genius level people, who were able to learn very quickly with help of AI.

Although is it really "understanding" or just able to write down the formulas...?

Being able to use a formula is the first, and necessary, step for understanding.

Then it is able to work at different levels of abstraction and being able to find analogies. But at this point, in my understanding, "understanding" is a never-ending well.

How about elliptic curve cryptography then? I just think coming with a formula is not really understanding. Actually most often the “real” formula is the end step of understanding through derivation. ML does it up side down in this regard

What would you want in his position?