what's funny is that this was predicted to be that way even before AI-generated code became an option. Hell, I remember doing an assessment back in early 2023 and literally every domain expert i talked with said this thing - it has its use, but purely supplemental and you won't use it on some fundamental because the clean-up will take more time than was preserved. Counterproductive is the word.
this post was submitted on 23 Dec 2025
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No shit, Sherlock (c)
ChatGPT is great at generating a one line example use of a function. I would never trust its output any further than that.
So much this. People who say ai can’t write code are just using it wrong. You need to break things down to bite size problems and just let it autocomplete a few lines at a time. Increase your productivity like 200%. And don’t get me started about not having to search through a bunch of garbage google results to find the documentation I’m actually looking for.
It’s laughable to me that people haven’t figured this out.
How? "Hey, ChatGPT, write the thirty-second line of this function?"
I don't know about ChatGPT, but Github Copilot can act like an autocomplete. Or you can think of it as a fancier Intellisense. You still have to watch its output as it can make mistakes or hallucinate library function calls and things like that, but it can also be quite good at anticipating what I was going to write and saves me some keystrokes. I've also found I can prompt it in a way by writing a comment and it'll follow up with attempt to fill in code based upon that comment. I've certainly found it to be a net time saver.
Well not quite - I use ChatGPT more like to brainstorm ideas and sometimes I’ll paste a whole file or two into the prompt and ask what’s wrong and tell it the issue I’m seeing, it usually gives me the correct answer right away or after clarifying once or twice.
I use copilot for tab completion. Sometimes it finishes a line or two sometimes more. Usually it’s good code if it’s able to read your existing codebase as a reference. bonus points for using an MCP.
Warp terminal for intensive workflows. It’s integrated into your machine and can do whatever like implementing CICD scripts, executing commands, ssh into remote servers set up your infrastructure etc… I’ll use this when I really need the ai to understand my code base as a whole before providing any code or executing commands.
Hey don't worry, just get a faster CPU with even more cores and maybe a terabyte or three of RAM to hold all the new layers of abstraction and cruft to fix all that!
this is expected, isn't it? You shit fart code from your ass, doing it as fast as you can, and then whoever buys out the company has to rewrite it. or they fire everyone to increase the theoretical margins and sell it again immediately
And then it takes human coders way longer to figure out what’s wrong to fix than it would if they just wrote it themselves.
So this article is basically a puff piece for Code Rabbit, a company that sells AI code review tooling/services. They studied 470 merge/pull requests, 320 AI and 150 human control. They don't specify what projects, which model, or when, at least without signing up to get their full "white paper". For all that's said this could be GPT 4 from 2024.
I'm a professional developer, and currently by volume I'm confident latest models, Claude 4.5 Opus, GPT 5.2, Gemini 3 Pro, are able to write better, cleaner code than me. They still need high level and architectural guidance, and sometimes overt intervention, but on average they can do it better, faster, and cheaper than me.
A lot of articles and forums posts like this feel like cope. I'm not happy about it, but pretending it's not happening isn't gonna keep me employed.
Source of the article: https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-generation-report
I am a professional software engineer, and my experience is the complete opposite. It does it faster and cheaper, yes, but also noticeably worse, and having to proofread the output, fix and refactor ends up taking more time than I would have taken writing it myself.
In web development it's impossible to remember all functions, parameters, syntax and quirks for PHP, HTML, JavaScript, jQuery, vue.js, CSS and whatever else code exists in this legacy project. AI really helps when you can divide your tasks into smaller steps and functions and describe exactly what you need, and have a rough idea how the resulting code should work. If something looks funky I can ask to explain or use some other way to do the same thing.
That sounds almost like an AI version of TDD.
Oh, so my sceptical, uneducated guesses about AI are mostly spot on.
As a computer science experiment, making a program that can beat the Turing test is a monumental step in progress.
However as a productive tool it is useless in practically everything it is implemented on. It is incapable of performing the very basic "Sanity check" that is important in programming.
The Turing test becomes absolutely useless when the product is developed with the goal of beating the Turing test.
it was also meant as a philosophical test, but also, a practical one, because now. I have absolutely no way to know if you are a human or not.
But it did pass it, and it raised the bar. but they are still useless at any generative task
The Turing test says more about the side administering the test than the side trying to pass it
Just because something can mimic text sufficiently enough to trick someone else doesn't mean it is capable of anything more than that
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Did they compare it to the code of that outsourced company that provided the lowest bid? My company hasn’t used AI to write code yet. They outcourse/offshore. The code is held together with hopes and dreams. They remove features that exist, only to have to release a hot fix to add it back. I wish I was making that up.
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Not my code though. It contains a shit ton of bugs. When I am able to write some of course.
Nah, AI code gen bugs are weird. As a person used to doing human review even from wildly incompetent people, AI messes up things that my mind never even thought needed to be double checked.
The things I have seen from devs who thought they could lie and pretend they didn't use AI...
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Although I don't doubt the results… can we have a source for all the numbers presented in this article?
It feels AI generated itself, there's just a mishmash of data with no link to where that data comes from.
There has to be a source, since the author mentions:
So although the study does highlight some of AI's flaws [...] new data from CodeRabbit has claimed
CodeRabbit is an AI code reviewing business. I have zero trust in anything they say on this topic.
Then we get to see who the author is:
Craig’s specific interests lie in technology that is designed to better our lives, including AI and ML, productivity aids, and smart fitness. He is also passionate about cars
Has anyone actually bothered clicking the link and reading past the headline?
Can you please not share / upvote / get ragebaited by dogshit content like this?
People, especially on lemmy are looking for any cope that Ai will just fall apart by itself and no longer bother them by existing, so they'll upvote whatever lets them think that.
The reality that we are just heading towards the trough of disappear wherethe investor hype peters off and then we eventually just have a legitimately useful technology with all the same business hurdles of any other technology (tech bros trying to control other peoples lives to enrich themselves or harm people they don't like)
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