3 ms·

What does this matter now? It seems like economic collapse and the destruction of value coming out of programming is basically imminent

deleted 10mo ago
[deleted]
jhatemyjob 10mo ago
> 7.3 No Copy-Paste Coding > [...] But nowadays they tend to punt to some AI. Beginning developers should not do this. I don't know how I feel about this. I get the sentiment, I really do. But it almost reads like a chess Grandmaster in the 90s telling up-and-coming players to not practice against Deep Blue because it will teach you bad habits.
- traxler 10mo ago
  > But it almost reads like a chess Grandmaster in the 90s telling up-and-coming players to not practice against Deep Blue because it will teach you bad habits. No idea if chess grandmasters did do that in the 90s, but frankly it would have been good advice. Just as it is good advice today for up-and-coming players not to practice against stockfish, leela or whatever. Unless you are already very proficient in chess, practicing against those engines will teach you very little .
  - randoglando 10mo ago
    Gukesh, the current world champion, did not use engines for analysis until very late. I think until after he became a GM.
- aswegs8 10mo ago
  Especially if your job will be to let Deep Blue play against others so you should know how to control it well. That maybe doesn't satisfy the purists around here but it makes Juniors way more competitive in the short term, hence they are well-advised to use it.
- cheikhcheikh 10mo ago
  terrible analogy. It's more like a chess grandmaster telling you not to let Stockfish play for you. Which would be a very obvious thing to not do anyway, just like for a learning programmer.
- beej71 10mo ago
  It's not so much that, although I'd argue that LLMs can certainly teach you some bad habits from time to time, much more so than Deep Blue ever would. Rather, it's because early on, when beginners are learning the basics, they need to do the hard work of figuring stuff out so they develop problem-solving skills. It's not the code-writing skills they need to develop--that's easy. It's the problem-solving skills. If I could figure out a way to grade on effort rather than correctness, I'd do that every time. Bust your ass and get a program 80% working and learn a ton doing it? You get an A. Spend 2 minutes copying ChatGPT output of a perfectly-working solution? F. The effort is where you build the skill. And the skill is critical problem-solving. Having someone (or something) else do that work does not improve your skill. Now, eventually, when you get to be better than the AI (and it's not hard to do that), stuff that you find easy is not longer beneficial to your learning. I've implemented linked lists a hundred times by now; I no longer learn anything from doing it. When you're that experienced with a subtopic, then sure, get ChatGPT to write it, and you verify it. Going back to the weight lifting analogy, once you've been lifting the 2 kg weights for a while, you're not going to get much out of it. At that point, if the 2 kg weight must be lifted because it's part of your job description, have your robot do it. Meanwhile, you go on to the 4 kg weights and build muscle.
  - ontouchstart 10mo ago
    I think sooner ChatGPT will provide answers based on your Guides: https://news.ycombinator.com/item?id=46125283 https://news.ycombinator.com/item?id=46125283
  - jhatemyjob 10mo ago
    Maybe we crossed the Rubicon and there's too much opportunity cost to learn how to implement the fundamental DS&A. Instead of memorizing the ~10 lines of code for binary search, memorize the words "binary search". Thanks to the C compiler, we don't have to remember to push our registers and then jump to the subroutine. I think LLMs provide similar benefits. It frees your headspace for other stuff. The analogy isn't perfect since a compiler will error if it can't create valid output. LLMs hallucinate. But still. Time is limited. I don't think it's a good idea to spend your formative years learning how to manage registers.

deleted 10mo ago

[deleted]

jhatemyjob 10mo ago

> 7.3 No Copy-Paste Coding > [...] But nowadays they tend to punt to some AI. Beginning developers should not do this. I don't know how I feel about this. I get the sentiment, I really do. But it almost reads like a chess Grandmaster in the 90s telling up-and-coming players to not practice against Deep Blue because it will teach you bad habits.

traxler 10mo ago
> But it almost reads like a chess Grandmaster in the 90s telling up-and-coming players to not practice against Deep Blue because it will teach you bad habits. No idea if chess grandmasters did do that in the 90s, but frankly it would have been good advice. Just as it is good advice today for up-and-coming players not to practice against stockfish, leela or whatever. Unless you are already very proficient in chess, practicing against those engines will teach you very little .
- randoglando 10mo ago
  Gukesh, the current world champion, did not use engines for analysis until very late. I think until after he became a GM.
aswegs8 10mo ago
Especially if your job will be to let Deep Blue play against others so you should know how to control it well. That maybe doesn't satisfy the purists around here but it makes Juniors way more competitive in the short term, hence they are well-advised to use it.
cheikhcheikh 10mo ago
terrible analogy. It's more like a chess grandmaster telling you not to let Stockfish play for you. Which would be a very obvious thing to not do anyway, just like for a learning programmer.
beej71 10mo ago
It's not so much that, although I'd argue that LLMs can certainly teach you some bad habits from time to time, much more so than Deep Blue ever would. Rather, it's because early on, when beginners are learning the basics, they need to do the hard work of figuring stuff out so they develop problem-solving skills. It's not the code-writing skills they need to develop--that's easy. It's the problem-solving skills. If I could figure out a way to grade on effort rather than correctness, I'd do that every time. Bust your ass and get a program 80% working and learn a ton doing it? You get an A. Spend 2 minutes copying ChatGPT output of a perfectly-working solution? F. The effort is where you build the skill. And the skill is critical problem-solving. Having someone (or something) else do that work does not improve your skill. Now, eventually, when you get to be better than the AI (and it's not hard to do that), stuff that you find easy is not longer beneficial to your learning. I've implemented linked lists a hundred times by now; I no longer learn anything from doing it. When you're that experienced with a subtopic, then sure, get ChatGPT to write it, and you verify it. Going back to the weight lifting analogy, once you've been lifting the 2 kg weights for a while, you're not going to get much out of it. At that point, if the 2 kg weight must be lifted because it's part of your job description, have your robot do it. Meanwhile, you go on to the 4 kg weights and build muscle.
- ontouchstart 10mo ago
  I think sooner ChatGPT will provide answers based on your Guides: https://news.ycombinator.com/item?id=46125283 https://news.ycombinator.com/item?id=46125283
- jhatemyjob 10mo ago
  Maybe we crossed the Rubicon and there's too much opportunity cost to learn how to implement the fundamental DS&A. Instead of memorizing the ~10 lines of code for binary search, memorize the words "binary search". Thanks to the C compiler, we don't have to remember to push our registers and then jump to the subroutine. I think LLMs provide similar benefits. It frees your headspace for other stuff. The analogy isn't perfect since a compiler will error if it can't create valid output. LLMs hallucinate. But still. Time is limited. I don't think it's a good idea to spend your formative years learning how to manage registers.