alt Hacker NewsHow are you judging that you'd write "better" code? More maintainable? More efficient? Does it produce bugs in the underlying code it's generating? Genuinely curious where you see the current gaps.
How are you judging that you'd write "better" code? More maintainable? More efficient? Does it produce bugs in the underlying code it's generating? Genuinely curious where you see the current gaps.
For me the biggest gaps in LLM code are:
- it adds superfluous logic that is assumed but isn’t necessary
- as a result the code is more complex, verbose, harder to follow
- it doesn’t quite match the domain because it makes a bunch of assumptions that aren’t true in this particular domain
They’re things that can often be missed in a first pass look at the code but end up adding a lot of accidental complexity that bites you later.
When reading an unfamiliar code base we tend to assume that a certain bit of logic is there for a good reason, and that helps you understand what the system is trying to do. With generative codebases we can’t really assume that anymore unless the code has been thoroughly audited/reviewed/rewritten, at which point I find it’s easier to just write the code myself.