The model doesn't "understand" anything, but if you, the programmer, understands it well enough, that can be enough to direct it to find a solution. You can do

The model doesn't "understand" anything, but if you, the programmer, understands it well enough, that can be enough to direct it to find a solution. You can do a lot with ChatGPT or Claude if wrong code is easy to spot (which will obviously depend on what you're working on). If you can easily spot mistakes these things can often come up with a fix once you point it out. I've had some real success converting small-scale production C++ code into Python using Claude. Stuff that isn't really deep or complicated, but it's still faster and less annoying using an LLM to assist. I am sure there are large domains where it's crap, but for relatively simple stuff (CRUD logic, simple file parsing) it does remarkably well.