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Personally, I have never seen LLM generated code that works without needing to be edited, but I imagine for routine blocks of code and very common things it probably does fine. I dont see why a programmer needs to rewrite the same code blocks over and over again for different projects when an LLM can do that part leaving more time for the programmer to write the more specialized parts. The programmer will still have to edit and verify the generated code, but programming is more mechanical than something like art.
However, for more specialized code, I would be concerned. It would likely not function at all without editing, and if it did function it probably wouldn't be optimized or secure. However, this programmer claims to have 30 years of experience, and if thats the case then he likely knows this and probably edits the LLM output code himself.
As I have said before, Generative AI is a tool, like PhotoShop. I dont see why people should reject a tool if it can make their job easier. It won't be able to completely replace people effectively. Businesses will try, but quality will drop off because its not being used by people that understand what the end result needs to be, and businesses will inevitably lose money.
That's not completely true. Claude and some of the Chinese coding models have gotten a lot better at creating a good first pass.
That's also why I like tests. Just force the model to prove that it works.
Oh, you built the thing and think it's finished? Prove it. Go run it. Did it work? No? Then go fix the bugs. Does it compile now? Cool, run the unit test platform. Got more bugs? Fix them. Now, go write more unit tests to match the bugs you found. You keep running into the same coding issue? Go write some rules for me that tell yourself not to do that shit.
I mean, I've been doing this programming shit for many decades, and even I've been caught by my overconfidence of trying to write some big project and thinking it's just going to work the first time. No reason to think even a high-powered Claude thinking model is going to magically just write the whole thing bug-free.
You've described the loop I'm using to get working code. Also I ask it to look for inefficiencies like duplicated or dead code, redundant work, inefficient memory usage, and then I test again. I'm not going to catch everything wrong like this, but honestly I wouldn't even if I were doing all of it by hand. I'm pretty happy with the results - I just updated my project's "server" branch with a back end refactor and a CLI interface actually! Link if you're curious: https://github.com/obelisk-complex/histv-universal
Pending some further testing I plan to roll the changes in to main.