32 karma · joined September 23, 2025
It's like lifting weight. Obviously, machines lift weight much better than human for a long time. But people still trains for strength or aesthetics. Even if machine can lift much larger weight and more efficiently, some people still care about how strong they are.
A machine can lift much more weight obviously is not the excuse for them to stop training.
Programming is just the weight lifting for your brain/mind. Even if LLMs can solve all coding problems perfectly, there will be people who still want to program all by hands, for training their mind, or simply enjoying the process. And there will be people care about how good you are at solving a problem with programming.
LLMs being able to code does not mean you no longer need the ability to code.
Cars do not mean you no longer need the ability to walk.
If you want to reduce the cost but still get something useful, you have to make some abstraction, and we all know that any abstraction is leaky.
However, an interview, which should be conducted by human, but instead by something AI pretends to be human, would make most of the current human beings feel disgusted, naturally.
Is there any formal proof that an AI conducted interview yields more than a pencil & paper test? Or is there any scientific research about that? I doubt there would be any in the near future. Then using such AI conducted interviews is simply a belief.
Because video games of poor quality are too many, consumers simply refuse to spend time identifying the high-quality ones from the enormous poor-quality ones.
I wonder if the software industry would experience the similar thing?
Recently there was this post which is largely generated by Claude Code. Read it.
Now, if you want to use the dashboard do something else really brilliant, it is good enough for means. Just make sure the dashboard is not the end.
Other than the product itself, there are ecosystem issues as well. LaTeX has mature support in editors such as Emacs. However, support for Typst in Emacs is still in development. Thus, for now, I will keep using LaTeX, but I would keep Typst as an option.
Currently, I don't think so. Coding agents' performance generally depends on the quality of the model behind them. Running a powerful model is assets-dependent. Not everyone has the hardware and power to support Sonnet 4.5 or Gemini 3 even if they are open-source. So, before the top notch models can be deployed on personal computing devices, I would not say coding agents will threat any organization.
No offense. However, this response from the first example feels robotic to me. It feels like I am talking with some kind of artificial intelligence. I guess we have to make it sounds more natural. In fact, the following examples feel more smooth to me.
For example, you can pull the library code to your working environment and install the coding agent there as well. Then you can ask them to read specific files, or even all files in the library. I believe (according to my personal experience) this would significantly decrease the possibility of hallucinating.