Yep, by definition generative AI gets worse the more specific you get. If you need common templates though, it’s almost as good as today’s google.
I truly don’t understand the tendency of people to hate these kinds of tools. Honestly seems like an ego thing to me.
Carbon footprint. Techbro arrogance. Not sure what’s hard to understand about it.
Generative AI is great for loads of programming tasks like helping create regular expressions or syntax conversions between languages. The main issue I’ve seen in codebases that rely heavily on generative AI is that the “solutions” often fix today’s bug while making future debugging more difficult. Generative AI makes it easy to go fast in the wrong direction. Used right it’s a useful tool.
For me, it is a glorified auto-complete function. Could definitely live without it.
Same for me, but that glorified auto complete helps a lot.
Hell yea. Our unit test coverage went way up because you can blow through test creation in second. I had a large complicated migration from one data set to another with specific mutations based on weird rules and GPT got me 80% of the way there and with a little nudging basically got it perfect. Code that would’ve taken a few hours took about 6 prompts. If I’m curious about a new library I can get a working example right away to see how everything fits together. When these articles say there’s no benefit I feel people aren’t using these tools or don’t know how to use them effectively.
Good devs gain little.
I gain a lot.
Its basically a template generator, which is really helpful when you’re generating boilerplate. It doesn’t save me much if any time to refactor/fill in that template, but it does save some mental fatigue that I can then spend on much more interesting problems.
It’s a niche tool, but occasionally quite handy. Without leaps forward technically though, it’s never going to become more than that.
Feel the same way!
My main use is skipping the blank page problem when writing a new suite of tests—which after about 10 mins of refactoring are often a good starting point
And yet, higher ups continue to lay off more devs because AI “is the future”.
Places GPT-based “AI” next to flying cars
Flying cars exist, they’re just not cost effective. AFAICT there’s no GPT that is proficient at coding yet.
It’s a lot easier to access ChatGPT than it is to access a flying car
The more people using chatgpt to generate low quality code they don’t understand, the more job safety and greater salary I get.
I like to use suggestions to feel superior when trash talking the generated code
I honestly stopped using it after a week
I’m shocked. There must be an error in this analysis. /s
Maybe engage an AI coding assistant to massage the data analysis lol
Devs that are punching above their class, however, probably get great benefit from it. I would think it’s also an OK learning tool, except for how inaccurate it can be sometimes.
