4 ms·

So, I recently have done my first couple heavily AI augmented tasks for hobby projects. I wrote a TON of LVGL code. The result wasn’t perfect for placement, b

by mlyle 1y ago

So, I recently have done my first couple heavily AI augmented tasks for hobby projects. I wrote a TON of LVGL code. The result wasn’t perfect for placement, but when I iterated a couple of times, it fixed almost all of the issues. The result is a little hacked together but a bit better than my typical first pass writing UI code. I think this saved me a factor of 10 in time. Next I am going to see how much of the cleanup and factoring of the pile of code it can do. Next I had it write a bunch of low level code to init hardware. It saved me a little time compared to reading the reference manual, and was more pleasant, but it wasn’t perfectly correct. If I did not have domain expertise I would not have been able to complete the task with the LLM.

stavros 1y ago
> If I did not have domain expertise I would not have been able to complete the task with the LLM. This kind of sums up my experience with LLMs too. They save me a lot of time reading documentation, but I need to review a lot of what they write, or it will just become too brittle and verbose.
la_fayette 1y ago
When you argued that it saved you time by a factor of 10, have you even measured that properly? I initially also had the feeling that LLMs save me time, but in the end it didn't. I roughly compared my performance to past performance by the amount of stories done and LLMs made me slower even if I thought I am saving time... From several month of deep work with LLMs I think they are amazing pattern matchers, but not problem solvers. They suggest a solution pattern based on their trained weights. This even could result in real solutions, e.g., when programming Tetris or so, but not when working on somewhat unique problems...
- mlyle 1y ago
  I am pretty confident. Last similar LVGL thing I did took me 10-12 hours, and I had a quicker iteration time (running locally instead of the test hardware). Here I spent a little more than an hour, testing on real hardware, and the last 20 minutes was nitpicking. Writing front-end display code and instantiating components to look right is very much playing to the model’s strength, though. A carefully written sentence plus context would become 40 lines of detail-dense but formulaic code. (I have also had a lot of luck asking it to make a first pass at typesetting things in Tex, too, for similar reasons)
- delusional 1y ago
  There was a recent study that found that LLM users in general tend to feel like they were more productive with AI while actually being less productive.
  - asadotzler 1y ago
    presumably the study this very HN discussion responds to.
    - delusional 1y ago
      Heh, yep. Guess I sometimes forget to read the content before commenting too.

by mlyle 1y ago

stavros 1y ago

> If I did not have domain expertise I would not have been able to complete the task with the LLM. This kind of sums up my experience with LLMs too. They save me a lot of time reading documentation, but I need to review a lot of what they write, or it will just become too brittle and verbose.

la_fayette 1y ago

When you argued that it saved you time by a factor of 10, have you even measured that properly? I initially also had the feeling that LLMs save me time, but in the end it didn't. I roughly compared my performance to past performance by the amount of stories done and LLMs made me slower even if I thought I am saving time... From several month of deep work with LLMs I think they are amazing pattern matchers, but not problem solvers. They suggest a solution pattern based on their trained weights. This even could result in real solutions, e.g., when programming Tetris or so, but not when working on somewhat unique problems...

mlyle 1y ago
I am pretty confident. Last similar LVGL thing I did took me 10-12 hours, and I had a quicker iteration time (running locally instead of the test hardware). Here I spent a little more than an hour, testing on real hardware, and the last 20 minutes was nitpicking. Writing front-end display code and instantiating components to look right is very much playing to the model’s strength, though. A carefully written sentence plus context would become 40 lines of detail-dense but formulaic code. (I have also had a lot of luck asking it to make a first pass at typesetting things in Tex, too, for similar reasons)
delusional 1y ago
There was a recent study that found that LLM users in general tend to feel like they were more productive with AI while actually being less productive.
- asadotzler 1y ago
  presumably the study this very HN discussion responds to.
  - delusional 1y ago
    Heh, yep. Guess I sometimes forget to read the content before commenting too.