They have their uses. For instance the other day I needed to read some assembly and decompiled C, you know how fun that can be. LLM proved quite good at translating it to english. And really speed up the process.
Writing it back wasn’t that good though, just good enough to point in a direction but I still ended up writing the patcher mostly by myself.
the other day I needed to read some assembly and decompiled C
As one casually does lol Jokes aside, that’s pretty cool. I wish I had the technical know-how and, most importantly, the patience for it.
Assembly is very simple (at least RISC-V assembly is which I mostly work with) but also very tedious to read. It doesn’t help that the people who choose the instruction mnemonics have extremely poor taste - e.g.
lb,lh,lw,ldinstead ofload8,load16,load32,load64. Orjinstead ofjump. Who needs to save characters that much?The over-abbreviation is some kind of weird flaw that hardware guys all have. I wondered if it comes from labelling pins on PCB silkscreens (MISO, CLK etc)… Or maybe they just have bad taste.
I once worked on a chip that had nested acronyms.
Who needs to save characters that much?
Do you realize how old assembly language is?
It predates hard disks by ten years and coincided with the invention of the transistor.
About all they are good for is generating boilerplate code. Just far less efficiently than a snippet library.
Just far less efficiently than a snippet library.
Your snippet library can convert a large JSON file to a Java class using Java property naming conventions and including annotations for Jackson where the names differ from the JSON?
Thanks for posting. People really out here believing that the most basic scripts are Johnny 5.
I mean - the AI models do a lot more than just that one task you know. Or are you a “real programmer” who doesn’t need AI tools because “real men” don’t need help?
The keyword is efficiently.
I’m not anti ai. I’m anti burning down the down planet to solve problems that were already solved years ago with a few scripts.
Also: correctly, without inventing or garbling data.
Using a llm for this task will require intensive proof-reading, as it might have changed the data somewhere.
