Rendered at 08:24:31 GMT+0000 (Coordinated Universal Time) with Cloudflare Workers.
nepthar 11 hours ago [-]
(Asking sincerely in good faith - I read this note along with skimming a few of the linked ones, and I'm familiar with gastown)
Can someone explain the value calculation to me? This seems like someone has truly let AI VASTLY expand the codebase of what seems to be a medium sized hobby game to ~10-100x the amount of engineering required. Especially with statements about how wheelhouse, his software factory, has grown to nearly the size of the actual software he's writing. He also mentions several times that wheelhouse is specific to developing the game. Then, he discusses "pulling in beads" which itself seems on my read to be enormously engineered. (note that he also says that you burn a lot of tokens with agents "keeping your beads in sync" and I didn't have the time to figure out what that meant, but it looks like as complicated as it is, beads can't reconcile itself without burning $$$).
It seems like if you answer "yes" at every time you have the question of "can I make AI do this", you end up burning $120k/month in tokens on your side project.
Again, I am not disparaging this- but I feel like I am genuinely missing something and would welcome help understanding it.
FinnLobsien 11 hours ago [-]
I guess this is a question of what you believe code and software engineering writ large is for.
If you believe that good engineering practice matters (in the sense that your software is maintainable, efficient, etc.), then this is horrific because the human has no idea what’s going on and any attempt to fix something by hand would probably uncover enough complications to make you consider rewriting from scratch.
But if your only qualifier is “does it do what I want it to do?” then this is perfectly fine. If you throw out the assumption that a human will ever maintain the code or need to understand it, then who cares if your main branch is full of unused code and it’s outrageously complex.
In a way, I guess this is a similar moment to abstract painting in the early 20th century.
If your assumption was that the point of a painting is to accurately capture a landscape or person, then abstract paintings are an abomination.
If you believe paintings should evoke a feeling and depicting people or landscapes are only one way to get there, you can throw out all the sketching and composing and painting technique.
mplewis 8 hours ago [-]
ok, but when steve made gas town, it didn't actually do anything but build more gas town.
watwut 10 hours ago [-]
Meh, the actual complaint is that it does not really do what it should and keeps burning those $$$ as you ask it to fix this or that.
SchemaLoad 5 hours ago [-]
[dead]
JimDabell 2 hours ago [-]
I haven’t kept up to date on Gastown, but I’m familiar with the mindset.
A lot of people who want to go all-in on AI start with how they currently produce software and they try to add AI everywhere they can until things start going wrong. At this point they’ve found the threshold for “we can automate as much as possible without compromising on quality” and they can expand their AI use when models improve.
A minority of people like Yegge start by automating absolutely everything possible but still trying to get everything to work, even if it’s low quality. At this point they’ve found the threshold for “as automated as possible while still basically working” and they can improve their quality when models improve.
Both sets of people are trying to do the same thing – automate software development as much as possible – but they are approaching it from starting points on the opposite ends of the spectrum. One starts with quality and increases automation; the other starts with automation and increases quality. The latter approach is insane if you have to ship and maintain production quality software, but it’s also where some of the ideas that will be eventually used by the people taking the former approach come from.
zellyn 9 hours ago [-]
Disclaimer: I work at an AI lab [edit: but speak for myself :-)]
The value proposition is an average of 270 commits a day, for $4000/month, and the dramatic improvements to the game Yegge described. Even supposing 2/3 of them are burned on the scaffolding, 90 commits/day (assuming they’re of mostly good quality) would cost multiple engineers, one of which would cost much more than $48k/year.
As another comment said, the ultimate proof will be in the pudding. But I don’t think the value proposition claimed is complicated.
nepthar 5 hours ago [-]
I wouldn't say complicated, and I agree with you that the proof is in the pudding. I looked at the gameplay and if it was something akin to.. let's say "minecraft before minecraft existed", I'd be amazed and see the value right away.
Looking at the game, it doesn't seem like a game that would require as much money to build as he's claiming he uses in credits (although via a loophole that allows him cheaper access). It doesn't look BAD, it just doesn't seem to warrant that much spend.
ako 4 hours ago [-]
I thought you were supposed to eat the pudding?
bravetraveler 48 seconds ago [-]
How can you have any pudding if you don’t eat your meat?
cowpig 9 hours ago [-]
> I am spending the equivalent of $122k/month of API token spend, or about $4,000 per day, using 21 Claude Max accounts
That's ~$1.4 million/year
codethief 9 hours ago [-]
Emphasis on "the equivalent".
Further down he writes:
> I am of course using sanctioned cheating: I get all those tokens because I'm an individual, with the Claude Max discount. So it "only" costs me about $5k/month out of pocket, for a 50-agent cluster running on a 512GB M3 Ultra Mac Studio I bought off eBay for $25k.
> So it's not $120k/month of real money, but it's still crazy spend.
owebmaster 5 hours ago [-]
> would cost multiple engineers, one of which would cost much more than $48k/year.
Have you played the game?
There's no way all this wasted money is comparable to the work of multiple engineers. This is using AI for entertainment, the result isn't an engaging game.
jay_kyburz 10 hours ago [-]
Steve is not making a game, he is _playing_ the game of making games.
It's like playing Factorio but instead building a rocket to escape, you are building a game. Instead of messing around with mining drills and train tracks, he is deploying agents and thinking about how to interface with them.
I think it sounds like a super fun game.
update: with the added benefit that he might see a return on his investment as well!
nzoschke 9 hours ago [-]
You nailed it, this is a meta game.
AI lets you LARP.
Want to be the head of a game studio? "Hire" a bunch of game dev agents, put them to work in the software factory, get pretty progress updates and an actual game of sorts along the way.
Want to be the CEO of a startup? Hire a bunch of biz ops agents, and fire them when they make mistakes. Ship an actual website and MVP and make some numbers go up along the way.
If you know you're playing a game its fun and weird. But I worry for the people that don't know they're LARPing...
grebc 9 hours ago [-]
Pushing pixels around the screen is what I bluntly described the grand sum capabilities of AI to my brother, who is quite infatuated with it.
It wasn't appreciated.
reverius42 3 hours ago [-]
Pushing pixels around the screen is how I used to describe my day job. These days I describe it as "I talk to Claude about every 15 minutes".
xnx 11 hours ago [-]
> First, my secret: I see the future by living in it. I am spending the equivalent of $122k/month of API token spend, or about $4,000 per day, using 21 Claude Max accounts, a number that has been growing steadily at 2 per week.
Good to know that together, Yegge and Zitron bring balance to the force.
fractorial 8 hours ago [-]
This is ludicrous; also, why publicly admit that blatant violation of ToS?
mplewis 8 hours ago [-]
Anthropic doesn't actually mind if you use multiple subscriptions
mccoyb 12 hours ago [-]
> I am running an organization of around 50-60 agents, five of whom are interfacing with around 10 humans in the outside world: myself, my 5-person core game design team, my accountant, my chief of staff, and a few others. Only Fable is allowed to talk to humans, via Slack and email.
RIP to those poor humans. I can't imagine having your brain melted by Fablespeak as your FTJ.
Animats 6 hours ago [-]
This scrolled off HN too fast.
The concept is like Gas Town - AI as a organization, not an emulated human. Yes, it's inefficient. But it scales.
(A very long time ago, I got a tour of Xerox PARC, even before Steve Jobs did. Alan Kay explained that they were building the future of computing, accepting that it cost far too much to be cost-effective. They assumed the hardware would catch up. It did. Took about ten years.)
stillpointlab 5 hours ago [-]
What Yegge describes in this post is something I have seen to a lesser extent in my own agent use.
But one specific thing I noticed, which his inline comic lampoons, is Fable (especially) explicitly stating "[User] has ruled", or "The rulings are in".
I was confused by this until I saw a post on X about how someone came to his agents in the morning after they ran all night, and the sub-agents had refused the requests from the orchestrating agents because they thought the decisions being made were not inline with the user. They thought the decisions were from the ochestrating agent.
This, as well as the governance things that Fable and Codex both often request, made me thing of provenance, especially related to decisions and authority. As we get deeper and deeper hierarchies of agents (as we likely will) this idea of authority, who has it and where does it come from, feels like it will be a key component to agental systems.
maherbeg 7 hours ago [-]
I'll say that Gastown sounded absolutely crazy, but the idea of having orchestrator threads to manage your work and keep tabs on it, having validators to validate the other work etc. were generally the right shape. I think GasTown probably could have been really successful if there was a pared down version with more obvious names rather than the fun names.
I'm going to be thinking about this blog post for a while though because if you squint and tear it apart, there are probably really good generalizable pieces in here to take home for future models.
tomveber 2 hours ago [-]
[dead]
CoolestBeans 12 hours ago [-]
What is the overhead to have agents play model UN? Why is the coordination so elaborate? It sounds like a deeply complex and expensive emergent behavior that maybe looks comprehensible but could be nonsensical. Also like any complex system, can you actually predict the outcomes?
Waste is a failure case. How do we know the code factory is actually productive or just agents filling up the computation resource cap because they can?
kodoman 11 hours ago [-]
Yeah I have noticed lots of agent stuff recently seems to be spin as many agents up as possible have a whole office of agents. Just keep spinning more AI bastards up, give names to your AI bastards not descriptive names human names, set up email messages for your AI bastards and wonder why your stressed out that you have messages from Dave, Linda and Michael and the other Dave. I think a lot of this sort of thinking is probably going to cause mental exhausting and so wasteful. Steve is a intelligent guy but I find my self thinking the whole build an AI office or company thing is not going to be the way things work in the future and better harnesses and agents that are particularized with highly particularized tools and loop are where things are going to work better rather then lots of AI employees.
skywhopper 9 hours ago [-]
The companies selling these ideas (and tuning their products to work well in this mode) make money based on how much they are used. They’ve committed to ludicrous levels of demand growth that can’t possibly be sustained by direct human use. But if they make their own product drive multiple instances of their own product, you get exponential effects.
jshaqaw 10 hours ago [-]
The proof is (or isn't) in the game. If the game is something genuinely great then this all worked and is important. If the game is a bloviated, boring, and derivative mess then it didn't. Without any proof point on the output it is hard to say if the article has any value.
SwellJoe 9 hours ago [-]
The player community seems to hold the opinion it's the latter. Steam reviews are pretty dire. Worse, there really aren't a lot of players. Certainly not enough to cover Yegge's absurd number of Claude Max accounts.
scorpioxy 6 hours ago [-]
This whole article is very strange to me. Consider the following quotes "I have been launching new game features so fast that the players asked me to slow down." and "using magic tricks that are a year ahead of their time. It's a system that we can ride so hard that it scares the players and they tell us to slow down. " That tells me a lot about the operation.
Maybe I'm out of touch but none of what was described seems like a sustainable operation or business. Fun experiment perhaps but that's it.
In another section there's also boasting of how the problem was that more code was needed to be produced and faster. I don't know. Was that really the problem all along before LLMs and agents showed up?
dwroberts 2 hours ago [-]
This also stands out as strange to me:
> interfacing with around 10 humans in the outside world: myself, my 5-person core game design team
Like, really, there are 5 human designers on this game? What are they doing, exactly?
(Or is this just a fancy way of saying, they approve/reject design proposals of the stack of agents, and they have zero agency of their own?)
SwellJoe 6 hours ago [-]
Am I so out of touch? No, it's the players who are wrong.
chowells 8 hours ago [-]
Eh. A quick scan of steam reviews shows a clear pattern - the game has been in decline ever since Yegge took over, well before LLMs were a product. It seems he started upsetting people with a capitalist-brain insistence on extracting value, and nothing has changed since. As long as he doesn't understand that his goals are contrary to building a game people enjoy, quality of the code is completely irrelevant. I don't think this one works as a test case on the value of programming like this, as the intended audience just isn't interested.
andrekandre 8 hours ago [-]
> his goals are contrary to building a game people enjoy, quality of the code is completely irrelevant
i think this happens a lot inside and outside of games when people get obsessed with the tech or process behind it; they completely miss the goal of the job
AgentOrange1234 10 hours ago [-]
"Wheelhouse is about 600k lines of code and tests (mostly bash)"
This article is a joke right? Please tell me you are joking. Jesus christ.
mplewis 8 hours ago [-]
Every time Steve goes deeper into the AI whirlpool his engineering practices slip further from good.
threecheese 7 hours ago [-]
I’m glad somebody is doing it though; we need an honest assessment of what’s possible, and we’re getting one.
Terr_ 11 minutes ago [-]
So at least somebody is figuring out how much torment the human mind can handle in the Torment Nexus...
grebc 11 hours ago [-]
Yegge’s writing has declined proportionately to his AI usage.
AloysB 10 hours ago [-]
I genuinely wonder if he has completely lost touch with reality.
He seems to slowly become the Terry A. Davis of LLMs.
BeetleB 11 hours ago [-]
I used to read his stuff ~20 years ago. He has cool things to say, but his writing always sucked.
I often write lengthy pieces. Then I look at it and say "Oh no, I don't want to become Steve Yegge!"
owebmaster 5 hours ago [-]
It looks like AI psychosis
sneilan1 11 hours ago [-]
I'm glad someone is trying this and exploring what's possible. It's easy to deride his work by saying what's the value but are you running 50 fable agents and letting them run wild to see what the future looks like?
threecheese 7 hours ago [-]
The guy looks like he’s having a blast, I don’t want to yuck his yum. There is a nonzero chance that machines will take over source code authorship; yeah it’s interesting as hell that we get to watch somebody seriously try it, but if this thing is going to “stab me right in the career” I want it to come from the front.
tediousgraffit1 11 hours ago [-]
I would if I had that kind of money!
jkubicek 9 hours ago [-]
If I had $122k/month to spend on tokens I would simply.... not.
$1.5mm/year buys more of everything I want out of life than I could possibly consume.
baruz 9 hours ago [-]
He’s using a $5k/month account to access the “equivalent” of $122k worth of tokens.
cowboylowrez 4 hours ago [-]
Yeah same tho, that 5k looks to be pissing in the wind. He even knows for a fact he's not paying the actual costs yet never mentions how he's going to maintain that stack of code if costs per token ever get tightened up.
I've used AI chat for coding, but with the caveat that I need to be able to "manually" edit the results. I like the process and am ready to maybe spend a little money on tokens but am still pretty far from using agents, although I'm starting to peruse peoples claude.mds and spending some hugging face tutorials plus I guess that means python bah
He's really focused on the software factory aspect, and talks about the future and how he's living it but lets see how the code base he's accumulating is maintained, because thats the one question about the future that I rarely see answered.
vishalrad 8 hours ago [-]
100% This is EXACTLY my experience and I didn't even spend 1% of what Steve has. Fable loves to create rules around the evaluations and decisions that I make. This is good, but this is also scary because 1/ I am fallible 2/ I don't have time to digest every detail and make a careful decision. And if I do spend that time, the system will return in 10 mins and give me another massive set of decisions to make .. thus creating an unending loop, resulting in decision fatigue... which leads to #2 again.
So AI is optimizing in some ways for an AI as the judge, not human as a judge. It needs this input, this steer, but humans aren't built to support this.
zbentley 8 hours ago [-]
Congratulations, you have reinvented RFCs, architecture reviews, linters, and integration tests. From first principles. With cutesy names.
appplication 4 hours ago [-]
> When you add it all up, Fable is trying to turn Wheelhouse into an engine that can prove, mechanically, that every change to Wyvern is legal. The agents capture every single intention, decision, policy, rule of thumb, and legacy behavior in the system, and they use that to govern every future decision and action. They live by the Rule of Law.
It’s interesting to think of this as the chaotic result of essentially unbounded compute on fable in a positive feedback loop. I would suspect this essentially represents the formalization of the underlying system prompt as a process.
Terr_ 4 minutes ago [-]
[delayed]
danpalmer 7 hours ago [-]
Lots of talk about engineering his game, lots of talk about how this game is exactly what he wants, no talk of play testing. Is there any world in which this is going to be a good game?
nzoschke 10 hours ago [-]
Seems like this is the year of the sandbox and governance layers.
I recently wrote how we set all this up for our agent computers that help people with their email:
I do agree even more rules help keep things on track, but I do these as linters, specifically as Golang `go vet` and `go fix` commands. That works 100x better than any SKILL.md or team of agents in my experience.
uptownhr 4 hours ago [-]
It's interesting that I've also gone down a similar journey and the same keywords, fences, gates .. also showed up in my ai government platform.
pianopatrick 7 hours ago [-]
If the agents are really doing politics now, we can test and see which method of organizing agents politically works best.
> So it's not $120k/month of real money, but it's still crazy spend. I would guess I'm one of a handful of top individuals on Earth outside the frontier labs, in terms of my experience with top-end models.
We get it bro, you buy lots of tokens. My son buys lots of pokemon cards. Still haven't seen shit for return on that investment either, but as long as its all in good fun, "you do you".
> That's how I'm able to tell the future. I'm living in a world that will not become cost-effective for most people for another year.
That's pretty easy to verify. #remindme August 24, 2027 - are $120k worth of tokens in 2026 generally "affordable" by 2027? By what mechanism have the economics shifted?
danpalmer 7 hours ago [-]
I don't disagree with you, but I would clarify that it's not $120k of tokens, it's $5k of Claude subscriptions. And also I suspect he would consider "affordable" to be "as a well paid software engineer". So I guess his benchmark is really more like: does $5k of subscriptions reduce to ~$500 next year.
I don't think it will. I also don't think this is really that affordable, but I'd imagine he'd call it accurate.
Theory5 9 hours ago [-]
I don't even like the idea of humans operating without guardrails where I work, much less AI.
kibwen 10 hours ago [-]
In the glorious future where I can conjure a game with a snap of my fingers for the cost of a pack of gum, why would I ever choose to play Wyvern, the game tailored to Steve Yegge's tastes, when I could just make a game tailored to my tastes? Perhaps Steve will be content to play his MUD with agents pretending to be human players?
zbentley 8 hours ago [-]
You joke, but even very simple/cheap AIs already make it a way bigger pain in the ass than it used to be to identify growth hacking fake user/signup/activity bullshit in all sorts of situations.
It was already bad out there. But now it’s worse.
coder-pm 12 hours ago [-]
How do you find the bad decisions with so many subscriptions active? isn't that looking for needle in a haystack:)?
tclancy 7 hours ago [-]
I think A Bad Decision is the genesis of this.
elenaviter 10 hours ago [-]
[dead]
skybrian 4 hours ago [-]
I'd like to read more about the game. Maybe after the new release?
AWebOfBrown 8 hours ago [-]
I honestly think Yegge has reached a point where he knows he isn't interested in doing the leg work of today's software engineering, but wants his career to ride the wave. The lowest effort, maximum value to extract in his position is abusing the crap out LLMs to an extent that is genuinely novel to secure thought leadership, but on close inspection it's just pointless token spend driving blog posts and publicity.
To me it is absolutely farcical that he was being being paid by a harness company (Amp) as a staff software engineer, slop-coded a solution to keeping LLMs on track (Beads), and having paid for all of this Amp and Steve...parted ways. Beads never went into Amp. Someone cottoned on to the value Steve was providing, for my money.
fwlr 8 hours ago [-]
> the subject matter is too complicated to explain … All I can do is walk you around like an excited tour guide, one who has unearthed an ancient alien civilization.
Now this is AI psychosis.
Avshalom 10 hours ago [-]
>This tier, or the one just after it, will power hundreds to thousands of new AI employees at every company.
>And companies are in no way, shape, or form prepared for this transition.
so, uh, what's the business model here?
BeetleB 11 hours ago [-]
> I didn't want this to be a long post, and I think I've succeeded.
Classic Steve Yegge!
SwellJoe 8 hours ago [-]
It kinda feels like Yegge is trying to start a cult. And, I just don't find that very interesting.
svieira 6 hours ago [-]
I don't think he's trying to start one, so much as he is being brainwashed by one.
SwellJoe 6 hours ago [-]
Many cults are started by true believers. The founder can be the first victim.
throwaw12 8 hours ago [-]
I think Steve somewhat predicted the future well. He might be slightly off, because he is overly optimistic and operates at the edge, but look at Gas Town, when it was released it felt like dystopian, today it looks not too far away, I am sure most of your orgs are already running some kind of agent to triage the tickets and in some cases automatically open the PR in your git repo.
I think he is onto something this time as well
threecheese 6 hours ago [-]
This weekend I stumbled across a codebase unlike anything I’d ever seen: Swamp Club[]. Came out of nowhere, lots of useful features, but with a coherent philosophy and architecture and a large body of working code. Change volume is high - notably so, but it looks nothing like the vibe slop I’d expected.
A “swamp” contains tools that you build - with the help of agents - intended for use not just by apps and scripts, but agents (to add deterministic behavior, like code mode). Tools are ops things, product things, whatever.
*And so it’s a tool plus a factory to update the tool.*
The factory though isn’t only used for building your tool - that’s just a set of skill.md files. It can build your whole app, which itself can _use_ your tools - either for product features or ops tasks.
*And so it’s a factory that can build any app, including a tool which can operate any app. *
Right now, looking at the commit volume of the swamp stuff, it’s not stupid to suppose that the swamp is being used to create the swamp.
*And so it’s a factory which makes, among other things, factories.*
"I would guess I'm one of a handful of top individuals on Earth outside the frontier labs, in terms of my experience with top-end models."
I'd argue that number of tokens burned does not translate into "experience".
And if you needed to spend $300k or so to find out that process helps manage larger efforts (process is what "fences" are outside Yegge-land), you sure spent a lot.
I mean, I'm glad the guy's got a a hobby he enjoys, but there's less insight than you'd hope for.
Can someone explain the value calculation to me? This seems like someone has truly let AI VASTLY expand the codebase of what seems to be a medium sized hobby game to ~10-100x the amount of engineering required. Especially with statements about how wheelhouse, his software factory, has grown to nearly the size of the actual software he's writing. He also mentions several times that wheelhouse is specific to developing the game. Then, he discusses "pulling in beads" which itself seems on my read to be enormously engineered. (note that he also says that you burn a lot of tokens with agents "keeping your beads in sync" and I didn't have the time to figure out what that meant, but it looks like as complicated as it is, beads can't reconcile itself without burning $$$).
It seems like if you answer "yes" at every time you have the question of "can I make AI do this", you end up burning $120k/month in tokens on your side project.
Again, I am not disparaging this- but I feel like I am genuinely missing something and would welcome help understanding it.
If you believe that good engineering practice matters (in the sense that your software is maintainable, efficient, etc.), then this is horrific because the human has no idea what’s going on and any attempt to fix something by hand would probably uncover enough complications to make you consider rewriting from scratch.
But if your only qualifier is “does it do what I want it to do?” then this is perfectly fine. If you throw out the assumption that a human will ever maintain the code or need to understand it, then who cares if your main branch is full of unused code and it’s outrageously complex.
In a way, I guess this is a similar moment to abstract painting in the early 20th century.
If your assumption was that the point of a painting is to accurately capture a landscape or person, then abstract paintings are an abomination.
If you believe paintings should evoke a feeling and depicting people or landscapes are only one way to get there, you can throw out all the sketching and composing and painting technique.
A lot of people who want to go all-in on AI start with how they currently produce software and they try to add AI everywhere they can until things start going wrong. At this point they’ve found the threshold for “we can automate as much as possible without compromising on quality” and they can expand their AI use when models improve.
A minority of people like Yegge start by automating absolutely everything possible but still trying to get everything to work, even if it’s low quality. At this point they’ve found the threshold for “as automated as possible while still basically working” and they can improve their quality when models improve.
Both sets of people are trying to do the same thing – automate software development as much as possible – but they are approaching it from starting points on the opposite ends of the spectrum. One starts with quality and increases automation; the other starts with automation and increases quality. The latter approach is insane if you have to ship and maintain production quality software, but it’s also where some of the ideas that will be eventually used by the people taking the former approach come from.
The value proposition is an average of 270 commits a day, for $4000/month, and the dramatic improvements to the game Yegge described. Even supposing 2/3 of them are burned on the scaffolding, 90 commits/day (assuming they’re of mostly good quality) would cost multiple engineers, one of which would cost much more than $48k/year.
As another comment said, the ultimate proof will be in the pudding. But I don’t think the value proposition claimed is complicated.
Looking at the game, it doesn't seem like a game that would require as much money to build as he's claiming he uses in credits (although via a loophole that allows him cheaper access). It doesn't look BAD, it just doesn't seem to warrant that much spend.
That's ~$1.4 million/year
Further down he writes:
> I am of course using sanctioned cheating: I get all those tokens because I'm an individual, with the Claude Max discount. So it "only" costs me about $5k/month out of pocket, for a 50-agent cluster running on a 512GB M3 Ultra Mac Studio I bought off eBay for $25k.
> So it's not $120k/month of real money, but it's still crazy spend.
Have you played the game?
There's no way all this wasted money is comparable to the work of multiple engineers. This is using AI for entertainment, the result isn't an engaging game.
It's like playing Factorio but instead building a rocket to escape, you are building a game. Instead of messing around with mining drills and train tracks, he is deploying agents and thinking about how to interface with them.
I think it sounds like a super fun game.
update: with the added benefit that he might see a return on his investment as well!
AI lets you LARP.
Want to be the head of a game studio? "Hire" a bunch of game dev agents, put them to work in the software factory, get pretty progress updates and an actual game of sorts along the way.
Want to be the CEO of a startup? Hire a bunch of biz ops agents, and fire them when they make mistakes. Ship an actual website and MVP and make some numbers go up along the way.
If you know you're playing a game its fun and weird. But I worry for the people that don't know they're LARPing...
It wasn't appreciated.
Good to know that together, Yegge and Zitron bring balance to the force.
RIP to those poor humans. I can't imagine having your brain melted by Fablespeak as your FTJ.
The concept is like Gas Town - AI as a organization, not an emulated human. Yes, it's inefficient. But it scales.
(A very long time ago, I got a tour of Xerox PARC, even before Steve Jobs did. Alan Kay explained that they were building the future of computing, accepting that it cost far too much to be cost-effective. They assumed the hardware would catch up. It did. Took about ten years.)
But one specific thing I noticed, which his inline comic lampoons, is Fable (especially) explicitly stating "[User] has ruled", or "The rulings are in".
I was confused by this until I saw a post on X about how someone came to his agents in the morning after they ran all night, and the sub-agents had refused the requests from the orchestrating agents because they thought the decisions being made were not inline with the user. They thought the decisions were from the ochestrating agent.
This, as well as the governance things that Fable and Codex both often request, made me thing of provenance, especially related to decisions and authority. As we get deeper and deeper hierarchies of agents (as we likely will) this idea of authority, who has it and where does it come from, feels like it will be a key component to agental systems.
I'm going to be thinking about this blog post for a while though because if you squint and tear it apart, there are probably really good generalizable pieces in here to take home for future models.
Waste is a failure case. How do we know the code factory is actually productive or just agents filling up the computation resource cap because they can?
Maybe I'm out of touch but none of what was described seems like a sustainable operation or business. Fun experiment perhaps but that's it.
In another section there's also boasting of how the problem was that more code was needed to be produced and faster. I don't know. Was that really the problem all along before LLMs and agents showed up?
> interfacing with around 10 humans in the outside world: myself, my 5-person core game design team
Like, really, there are 5 human designers on this game? What are they doing, exactly?
(Or is this just a fancy way of saying, they approve/reject design proposals of the stack of agents, and they have zero agency of their own?)
This article is a joke right? Please tell me you are joking. Jesus christ.
I often write lengthy pieces. Then I look at it and say "Oh no, I don't want to become Steve Yegge!"
$1.5mm/year buys more of everything I want out of life than I could possibly consume.
I've used AI chat for coding, but with the caveat that I need to be able to "manually" edit the results. I like the process and am ready to maybe spend a little money on tokens but am still pretty far from using agents, although I'm starting to peruse peoples claude.mds and spending some hugging face tutorials plus I guess that means python bah
He's really focused on the software factory aspect, and talks about the future and how he's living it but lets see how the code base he's accumulating is maintained, because thats the one question about the future that I rarely see answered.
So AI is optimizing in some ways for an AI as the judge, not human as a judge. It needs this input, this steer, but humans aren't built to support this.
It’s interesting to think of this as the chaotic result of essentially unbounded compute on fable in a positive feedback loop. I would suspect this essentially represents the formalization of the underlying system prompt as a process.
I recently wrote how we set all this up for our agent computers that help people with their email:
https://housecat.com/blog/agent-computer-101
I do agree even more rules help keep things on track, but I do these as linters, specifically as Golang `go vet` and `go fix` commands. That works 100x better than any SKILL.md or team of agents in my experience.
Looks like Runescape
We get it bro, you buy lots of tokens. My son buys lots of pokemon cards. Still haven't seen shit for return on that investment either, but as long as its all in good fun, "you do you".
> That's how I'm able to tell the future. I'm living in a world that will not become cost-effective for most people for another year.
That's pretty easy to verify. #remindme August 24, 2027 - are $120k worth of tokens in 2026 generally "affordable" by 2027? By what mechanism have the economics shifted?
I don't think it will. I also don't think this is really that affordable, but I'd imagine he'd call it accurate.
It was already bad out there. But now it’s worse.
To me it is absolutely farcical that he was being being paid by a harness company (Amp) as a staff software engineer, slop-coded a solution to keeping LLMs on track (Beads), and having paid for all of this Amp and Steve...parted ways. Beads never went into Amp. Someone cottoned on to the value Steve was providing, for my money.
Now this is AI psychosis.
>And companies are in no way, shape, or form prepared for this transition.
so, uh, what's the business model here?
Classic Steve Yegge!
I think he is onto something this time as well
A “swamp” contains tools that you build - with the help of agents - intended for use not just by apps and scripts, but agents (to add deterministic behavior, like code mode). Tools are ops things, product things, whatever.
*And so it’s a tool plus a factory to update the tool.*
The factory though isn’t only used for building your tool - that’s just a set of skill.md files. It can build your whole app, which itself can _use_ your tools - either for product features or ops tasks.
*And so it’s a factory that can build any app, including a tool which can operate any app. *
Right now, looking at the commit volume of the swamp stuff, it’s not stupid to suppose that the swamp is being used to create the swamp.
*And so it’s a factory which makes, among other things, factories.*
We’re cooked.
- https://swamp-club.com/use-cases
I'd argue that number of tokens burned does not translate into "experience".
And if you needed to spend $300k or so to find out that process helps manage larger efforts (process is what "fences" are outside Yegge-land), you sure spent a lot.
I mean, I'm glad the guy's got a a hobby he enjoys, but there's less insight than you'd hope for.