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How does this not lead to a situation where no honest person can use any AI in their submissions? Surely pull requests that acknowledge AI tooling will be given significantly less attention, on the grounds that no one wants to read work that they know is written by AI.
I’m not a big AI fan but I do see it as just another tool in your toolbox. I wouldn’t really care how someone got to the end result that is a PR. But I also think that if a maintainer asks you to jump before submitting a PR, you politely ask, “how high?”
On the one hand, it's lowered the barrier to entry for certain types of contributions. But on the other hand getting a vibe-coded 1k LOC diff from someone that has absolutely no idea how the project even works is a serious problem because the iteration cycle of getting feedback + correctly implementing it is far worse in this case.
Also, the types of errors introduced tend to be quite different between humans and AI tools.
It's a small ask but a useful one to disclose how AI was used.
I just submitted my first big open source contribution to the OpenAI agents SDK for JS. Every word except the issue I opened was done by AI. On the flip side, I’m preparing to open source a project I made for a serializable state machine with runtime hooks. But that’s blood sweat and tears labor. AI is writing a lot of the unit tests and the code, but it’s entirely by my architectural design. There’s a continuum here…
Are you kidding?
- For ages now, people have used "broad test coverage" and "CI" as excuses for superficial reviews, as excuses for negligent coding and verification.
- And now people foist even writing the test suite off on AI.
Don't you see that this way you have no reasoned examination of the code?
> ... and the code, but it’s entirely by my architectural design.
This is fucking bullshit. The devil is in the details, always. The most care and the closest supervision must be precisely where the rubber meets the road. I wouldn't want to drive a car that you "architecturally designed", and a statistical language model manufactured.
Earlier quoted context omitted.
> AI is only as smart as the human handling it. I think I'm slowly coming around to this viewpoint too. I really just couldn't understand how so many people were having widely different experiences. AI isn't magic; how could I have expected all the people I've worked with who struggle to explain stuff to team members, who have near perfect context, to manage to get anything valuable across to an AI? I was original pr…
I've been starting to think of it like this: Great Engineer + AI = Great Engineer++ (Where a great engineer isn't just someone who is a great coder, they also are a great communicator & collaborator, and love to learn) Good Engineer + AI = Good Engineer OK Engineer + AI = Mediocre Engineer
If an OK engineer is still actively trying to learn, making mistakes, memorizing essentials, etc. then there is no issue.
On the other hand, if they're surrendering 100% of their judgment to AI, then they will be mediocre.
I’m loving today. HN’s front page is filled with some good sources today. No nonsense sensationalism or preaching AI doom, but more realistic experiences. I’ve completely turned off AI assist on my personal computer and only use AI assist sparingly on my work computer. It is so bad at compound work. AI assist is great at atomic work. The rest should be handled by humans and use AI wisely. It all boils down back to hu…
> AI is only as smart as the human handling it. I think I'm slowly coming around to this viewpoint too. I really just couldn't understand how so many people were having widely different experiences. AI isn't magic; how could I have expected all the people I've worked with who struggle to explain stuff to team members, who have near perfect context, to manage to get anything valuable across to an AI? I was original pr…
Earlier quoted context omitted.
Both sides will use AI and it will ultimately increase economic productivity. Imagine living before the invention of the printing press, and then lamenting that we should ban them because it makes it "too easy" to distribute information and will enable "low quality" publications to have more reach. Actually, this exact thing happened, but the end result was it massively disrupted the world and economy in extremely po…
> Both sides will use AI and it will ultimately increase economic productivity. Citation needed, I don’t think the printing press and gpt are in any way comparable.
There is also IP taint when using "AI". We're just pretending that there's not. If someone came to you and said "good news: I memorized the code of all the open source projects in this space, and can regurgitate it on command", you would be smart to ban them from working on code at your company. But with "AI", we make up a bunch of rationalizations. ("I'm doing AI agentic generative AI workflow boilerplate 10x gettin…
Courts (at least in the US) have already ruled that use of ingested data for training is transformative. There’s lots of details to figure, but the genie is out of the bottle. Sure it’s a big hill to climb in rethinking IP laws to align with a societal desire that generating IP continue to be a viable economic work product, but that is what’s necessary.
This is far from settled law. Let's not mischaracterize it.
Even so, an AI regurgitating proprietary code that's licensed in some other way is a very real risk.
Earlier quoted context omitted.
It does matter how and where a PR comes from, because reviewers are fallible and finite, so trust enters the equation inevitably. You must ask "Do I trust where this came from?" And to answer that, you need to know where it come from. If trust didn't matter, there wouldn't have been a need for the Linux Kernel team to ban the University of Minnesota for attempting to intentionally smuggle bugs through the PR process…
> You must ask "Do I trust where this came from?" And to answer that, you need to know where it come from. No you don’t. You can’t outsource trust determinations. Especially to the people you claim not to trust! You make the judgement call by looking at the code and your known history of the contributor. Nobody cares if contributors use an LLM or a magnetic needle to generate code. They care if bad code gets introduc…
That’s exactly opposite of what the author is saying. He mentions that [if the code is not good, or you are a beginner] he will help you get to finish line, but if it’s LLM code, he shouldn’t be putting effort because there’s no human on the other side.
It makes sense to me.
How does this not lead to a situation where no honest person can use any AI in their submissions? Surely pull requests that acknowledge AI tooling will be given significantly less attention, on the grounds that no one wants to read work that they know is written by AI.
Aren't a large majority of programmers using Copilot/Cursor/AI autocompletion? This seems very noisy/unhelpful.
The extent here is very important. There's a massive difference between vibe-coding a PR, using LLMs selectively to generate code in files in-editor, and edit prediction like copilot.
It says actually later that tab-completion needn't be disclosed.