If you look at that thread, you'll see I've paid out quite a lot in bounties, somewhere around 50-60kUSD (the amount is not quite precise, because some bounties I completed myself without paying, and others I paid extra when the work turned out to be more than expected). In exchange, I did manage to get quite a lot of work done for that cost
You do get some trash, it does take significant work to review, and not everything is amenable to bounties. But for projects that already have interested users and potential collaborators, sometimes 500-1000USD in cash is enough motivation for someone to go from curious to engaged. And if I can pay someone 500-1000USD to save me a week of work (and associated context switching) it can definitely be worth the cost.
The bounties are certainly not a living wage for people, especially compared to my peers making 1mUSD/yr at some big tech FAANG. It's just a token of appreciation that somehow feels qualitatively different from the money that comes in your twice-monthly paycheck
jumploops · 2h ago
Everyone is looking down on LLM-assisted dev here, but I think it's a great fit.
I also don't believe it can be one-shotted (there's too many deltas between Notion's API and Obsidian).
With that said, LLMs are great for enumerating edge-cases, and this feels like the perfect task for Codex/Claude Code.
I'd implore the obsidian team/maintainers to take a stab at building this with LLMs. Based on personal experience, the cost is likely within the same magnitude ($100-$1k in API cost + dev time), but the additional context (tests, docs, etc.) will be invaluable to future changes to either API surface.
stared · 57m ago
LLMs are wonderful for migration. Also, are good at exploring APIs.
A month ago I migrated company's website and blog from Framer to Astro (https://quesma.com/blog/ is you would like to see the end result).
This weekend I created a summary of Grafana dashboard data. LLMs are tireless at checking hypothesis, running grunt code, seeing results, and iterating on that.
What takes more than a single is to check if the result is correct (nothing missed, nothing confabulated, no default fallbacks) and to maintain code quality (I refactor early and often, here is a place in Claude Code that there is no other way than using Opus 4.1). Most of my time spend talking with Claude Code ais in refactoring - and it requires most knowledge of tooling, abstraction, etc.
Can't help but think if the author of that PR had been less defeatist and snarky they would have had a chance at decent discussion about it being a viable option (with AI).
jychang · 58m ago
It's 1100 lines of code in a single file that nobody understands. That's instant spaghetti right there, not a valid PR.
At least have it be split into some files and structured in some way.
thombles · 3h ago
In addition to what's already in the thread, I assume by now somebody has vibecoded an agent to scan GitHub for bounties and then automatically vibe up a corresponding solution. Will be a fun source of spam for anyone who wants to do the right thing and pay people for good work.
BoorishBears · 2h ago
I recently got my first AI generated PR for a project I maintain and it was honestly a little stressful.
My first clue was that PR description was absurdly detailed and well structured... yet the actual changes were really scattershot. A human with the experience and attention to detail to produce that detailed description would likely also have broken it down into seperate PRs.
And the code seemed alright until I noticed a small one-line change: a UI component had been replaced with a comment that stated "Insantiating component now requires X"
Except the new insantiation wasn't anywhere. Their coding agent had commented out insantiating the component instead of figuring out dependency injection.
That component was the container for all of the app's settings.
-
It's interesting because the PR wasn't entirely useless: individual parts of it were good enough that even if I took over the PR I'd be fine keeping them.
But whatever coded it couldn't understand architecture well enough. I suspect whoever was piloting it probably tested the core functionality and assumed their small UI changes wouldn't break anything.
I hope we normalize just admitting when most of a piece of code is AI generated. I'm not a luddite about these tools, but it also changes how I'll approach a piece of code.
Things that are easy for humans get very hard for AI, and vice versa.
zwnow · 2h ago
Not only admitting, it should be law to mark anything AI generated as AI generated. Even if AI contributed just a tiny bit. I dont want to use AI slop, and I should be allowed to make informed decisions based on that preference.
scrollaway · 1h ago
Did you by any chance type this comment on a device that has autocorrect enabled?
jangxx · 1h ago
Autocorrect is not generative AI in the way that anyone is using that word. Also autocorrect doesn't even need to use any sort of ML model.
scrollaway · 1h ago
Ah yes the duality of anti-AI crowds on HN. “GenAI is just fancy autocorrect”, and “autocorrect isn’t actually GenAI”.
The thing is, if you’re talking about making laws (as GP is), your “surely people understand this difference” strategy doesn’t matter squat and the impact will be larger than you think.
jangxx · 39s ago
You don't seem to understand what people mean when they say "AI is just fancy autocorrect". People talk about the little word suggestions over the keyboard, not about correcting spelling. And yes, of course those suggestions are going to be provided by some sort of ML model, and yes if you actually write a whole article just using them, it should be marked as AI generated, but literally no one is doing that. Maybe because it's not fancy enough autocorrect. Either way, this is not the gotcha you think.
zwnow · 1h ago
Hurr durr Autocorrect is machine learning and you didn't mark you comment as AI generated hurr durr, get lost
hazzamanic · 3h ago
Having once used the Notion API to build an OPEN API doc generator, I pity whoever takes this on. The API was painful to integrate with, full of limitations and nowhere near feature parity with the Notion UI itself
No comments yet
nivertech · 36m ago
What’s the easiest way to convert all dataviews in an existing Obsidian vault to Bases?
zwnow · 3h ago
> Please only apply if you have taken time to explore the Importer codebase, as well as the Notion API.
Suddenly 5k$ does not sound as good
Kichererbsen · 1h ago
Unless you've already done projects in both. Then, it might seem trivial? Idk. I haven't looked at either. But if there is such a person out there, with the spare time to look into it, they might be ideally suited!
cybrox · 3h ago
Why? It doesn't say you need to have extensive experience with them. I would assume this is mostly to dissuade applicants that are not aware of the potential challenges ahead.
zwnow · 2h ago
This "exploring" can take tremendous amounts of time, depending on the complexity of these APIs. My time is worth a lot to myself. I am not going to spend many hours for a chance of winning 5k$. If this takes a week off of my free time its not worth 5k to me.
Joel_Mckay · 1h ago
People that have restructured medium sized software platforms will know why the time cost is 3 to 7 times higher than rewriting it from scratch.
- https://github.com/orgs/com-lihaoyi/discussions/6
If you look at that thread, you'll see I've paid out quite a lot in bounties, somewhere around 50-60kUSD (the amount is not quite precise, because some bounties I completed myself without paying, and others I paid extra when the work turned out to be more than expected). In exchange, I did manage to get quite a lot of work done for that cost
You do get some trash, it does take significant work to review, and not everything is amenable to bounties. But for projects that already have interested users and potential collaborators, sometimes 500-1000USD in cash is enough motivation for someone to go from curious to engaged. And if I can pay someone 500-1000USD to save me a week of work (and associated context switching) it can definitely be worth the cost.
The bounties are certainly not a living wage for people, especially compared to my peers making 1mUSD/yr at some big tech FAANG. It's just a token of appreciation that somehow feels qualitatively different from the money that comes in your twice-monthly paycheck
I also don't believe it can be one-shotted (there's too many deltas between Notion's API and Obsidian).
With that said, LLMs are great for enumerating edge-cases, and this feels like the perfect task for Codex/Claude Code.
I'd implore the obsidian team/maintainers to take a stab at building this with LLMs. Based on personal experience, the cost is likely within the same magnitude ($100-$1k in API cost + dev time), but the additional context (tests, docs, etc.) will be invaluable to future changes to either API surface.
A month ago I migrated company's website and blog from Framer to Astro (https://quesma.com/blog/ is you would like to see the end result).
This weekend I created a summary of Grafana dashboard data. LLMs are tireless at checking hypothesis, running grunt code, seeing results, and iterating on that.
What takes more than a single is to check if the result is correct (nothing missed, nothing confabulated, no default fallbacks) and to maintain code quality (I refactor early and often, here is a place in Claude Code that there is no other way than using Opus 4.1). Most of my time spend talking with Claude Code ais in refactoring - and it requires most knowledge of tooling, abstraction, etc.
At least have it be split into some files and structured in some way.
My first clue was that PR description was absurdly detailed and well structured... yet the actual changes were really scattershot. A human with the experience and attention to detail to produce that detailed description would likely also have broken it down into seperate PRs.
And the code seemed alright until I noticed a small one-line change: a UI component had been replaced with a comment that stated "Insantiating component now requires X"
Except the new insantiation wasn't anywhere. Their coding agent had commented out insantiating the component instead of figuring out dependency injection.
That component was the container for all of the app's settings.
-
It's interesting because the PR wasn't entirely useless: individual parts of it were good enough that even if I took over the PR I'd be fine keeping them.
But whatever coded it couldn't understand architecture well enough. I suspect whoever was piloting it probably tested the core functionality and assumed their small UI changes wouldn't break anything.
I hope we normalize just admitting when most of a piece of code is AI generated. I'm not a luddite about these tools, but it also changes how I'll approach a piece of code.
Things that are easy for humans get very hard for AI, and vice versa.
The thing is, if you’re talking about making laws (as GP is), your “surely people understand this difference” strategy doesn’t matter squat and the impact will be larger than you think.
No comments yet
Suddenly 5k$ does not sound as good
Cleaning up vibe-code... lol :3
https://www.youtube.com/watch?v=aCbfMkh940Q