Matt Garman sees a shift in software development as AI automates coding, telling staff to enhance product-management skills to stay competitive.
Matt Garman sees a shift in software development as AI automates coding, telling staff to enhance product-management skills to stay competitive.
The only person in my company using AI to code writes stuff with tons of memory leaks that require two experienced programmers to fix. (To be fair, I don’t think he included “don’t have memory leaks” in the prompt.)
I find that my programming speed is up 15-20 percent since I started using supermaven copilot. I also have become better at naming functions as it increases the odds of the copilot understanding what I’m trying to do.
Also writing tests go way faster.
I’m amazed how overstated llm ability to program is. I keep trying, and I’ve yet to have any model output so much as a single function that ran correctly without modification. Beyond that it has made up APIs when I’ve asked about approaches to problems, and I’ve given it code to find bugs and memory issues I think are fairly obvious and it fails every time.
It really depends on the domain. E.g. I wrote a parser and copilot was tremendously useful, presumably because there are a gazillion examples on the internet.
Another case where it saved me literally hours was spawning a subprocess in C++ and capturing stdin/out. It didn’t get it 100% right but it saved me so much time looking up how to do it and the names of functions etc.
Today I’m trying to write a custom image format, and it is pretty useless for that task, presumably because nobody else has done it before.
This makes sense, I’ve largely been trying to use it for things I do regularly, and I’m pretty senior, having been in the industry for some time, so I tend not to be asking the questions that will have a million examples out there. But then again, these are the sorts of things that it will need to be able to do to replace people in industry.