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This is one of the few times I've read a post about using GPT for dev work that has actually made a somewhat convincing argument. In my day job, there's been v
by nibbleshifter 4y ago
This is one of the few times I've read a post about using GPT for dev work that has actually made a somewhat convincing argument.
In my day job, there's been various attempts to use GPT to speed up some work, which has generally resulted in me having to fix "confidently incorrect" code. The outputs usually about half right when its usable.
Using an LLM to basically auto complete trivial bits of code that are "just typing" but usually require a referral to the docs is probably the optimal middle ground for productivity - so time can be spent creatively solving the actual problems.
I'll have to experiment with it further - have it emit all the boilerplate for something, do the fun parts myself, then check for correctness might well be the workflow best suited to GPT.
- ChatPGT 4y ago>> The outputs usually about half right when its usable. For data projects/pocs/mvps using python its saving me lots of hours, you have some tiny mistakes, but once I have the idea in my head I just iterate and in 30min or less I have "written" the code for what would take me many hours.
- nibbleshifter 4y agoI think over the weekend I'll see how it handles some trivial-but-annoying/tedious data mangling tasks. There's a few small projects I have been procrastinating for ages that just will require a lot of "tedious but trivial" hand jamming of 90% boilerplate that may be well suited to LLM generated code.
- ChatPGT 4y agoThat's it. And it also helps with self-awareness: I found out that I much like prefer solving problems than writing code!