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I think that over time people will start looking at AI-assisted coding the same way we now look at loosely typed code, or at (heavy) frameworks: it saves time i

I think that over time people will start looking at AI-assisted coding the same way we now look at loosely typed code, or at (heavy) frameworks: it saves time in the short term, but may cause significant problems down the line. Whether or not this tradeoff makes sense in a specific situation is a matter of debate, and there's usually no obviously right or wrong answer.

doomslayer999 8mo ago
Once the free money runs out, the AI cos may shift to making heavily verified code snippets with more direct language control. This will heavily simplify a lot of boilerplate instead of fairytales of some AGI coding wiz.
- co_king_5 8mo ago
  [dead]
  - doomslayer999 8mo ago
    No to the first question, and maybe with a lot of money for the second question.
    - mattmanser 8mo ago
      In the 20 years I've been in the industry, boiler plate has dropped dramatically in the backend. Right now, front end has tons of boiler plate. It's one of the reasons AI hassle such a wow factor for FE, trivial tasks require a lot of code. But even that is much better than it was 10 years ago. That was a long way of saying I disagree with your no.
      - skydhash 8mo ago
        FE has a lot of boilerplate only if you’re starting from scratch every single time. That’s why we had template systems and why we invented view libraries. Once you’ve defined your libraries, you just copy-paste stuff.
  - matthewbauer 8mo ago
    It seems like they should be able to “overweight” newer training data. But the risk is the newer training data is going to skew more towards AI slop than older training data.
    - otabdeveloper4 8mo ago
      There won't ever be newer training data. The OG data came from sites like Stackoverflow. These sites will stop existing once LLMs become better and easier to use. Game over.
      - esclerofilo 8mo ago
        Every time claude code runs tests or builds after a change, it's collecting training data.
        co_king_5 8mo ago
        [dead]
        esclerofilo 8mo ago
        I can't pretend to know how things work internally, but I would expect it to be involved in model updates.
        otabdeveloper4 8mo ago
        You need human language programming-related questions to train on too, not just the code.
        8note 8mo ago
        thats what the related chats are for?
        otabdeveloper4 8mo ago
  - jimbokun 8mo ago
    I mean if people continue checking open source code into GitHub using those new features then they should be able to learn them just fine.
    - danaris 8mo ago
      This is only true if there continues to be tremendous amounts of money/hardware/power available to perform the training, in perpetuity.
moffkalast 8mo ago
It really depends on the situation. I think there's an argument for generating in a lower level strongly typed language, where most of the work of writing the pointlessly verbose parts is eliminated, any errors are found by the compiler immediately, but it still leaves the option for handwritten optimizations when needed. Sort of how one can drop down to C in python for the parts that need more performance.

doomslayer999 8mo ago

Once the free money runs out, the AI cos may shift to making heavily verified code snippets with more direct language control. This will heavily simplify a lot of boilerplate instead of fairytales of some AGI coding wiz.

co_king_5 8mo ago
[dead]
- doomslayer999 8mo ago
  No to the first question, and maybe with a lot of money for the second question.
  - mattmanser 8mo ago
    In the 20 years I've been in the industry, boiler plate has dropped dramatically in the backend. Right now, front end has tons of boiler plate. It's one of the reasons AI hassle such a wow factor for FE, trivial tasks require a lot of code. But even that is much better than it was 10 years ago. That was a long way of saying I disagree with your no.
    - skydhash 8mo ago
      FE has a lot of boilerplate only if you’re starting from scratch every single time. That’s why we had template systems and why we invented view libraries. Once you’ve defined your libraries, you just copy-paste stuff.
- matthewbauer 8mo ago
  It seems like they should be able to “overweight” newer training data. But the risk is the newer training data is going to skew more towards AI slop than older training data.
  - otabdeveloper4 8mo ago
    There won't ever be newer training data. The OG data came from sites like Stackoverflow. These sites will stop existing once LLMs become better and easier to use. Game over.
    - esclerofilo 8mo ago
      Every time claude code runs tests or builds after a change, it's collecting training data.
      - co_king_5 8mo ago
        [dead]
        esclerofilo 8mo ago
        I can't pretend to know how things work internally, but I would expect it to be involved in model updates.
      - otabdeveloper4 8mo ago
        You need human language programming-related questions to train on too, not just the code.
        8note 8mo ago
        thats what the related chats are for?
        otabdeveloper4 8mo ago
- jimbokun 8mo ago
  I mean if people continue checking open source code into GitHub using those new features then they should be able to learn them just fine.
  - danaris 8mo ago
    This is only true if there continues to be tremendous amounts of money/hardware/power available to perform the training, in perpetuity.

moffkalast 8mo ago

It really depends on the situation. I think there's an argument for generating in a lower level strongly typed language, where most of the work of writing the pointlessly verbose parts is eliminated, any errors are found by the compiler immediately, but it still leaves the option for handwritten optimizations when needed. Sort of how one can drop down to C in python for the parts that need more performance.