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> We are certainly closer now to being able to prototype and go to market faster with a product.

What are the higher-order effects when anyone can do this, and *aaS becomes a market for Lemons?

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I think that just because anyone can do it, doesn't mean they will. Lots of people have really great ideas but very few actually commit to execution. Ultimately ROI will go down, deincentivizing the commercialization of that thing someone wanted to bang out in a weekend.

In the very long term, software will become a commodity, as you mentioned. Process and workflow may move into JIT delivery for the need at hand, in theory the data layer will be comprehensive and clean and the days of clicking around a bunch of stuff to fulfill process needs will move into a lower latency activity like...talking to your agent.

I saw a quote today by Brian Eno(1995) that said: "So the question becomes not whether you can do it or not, because any drudge can do it if they're prepared to sit in front of the computer for a few days; the question then is: of all the things you can now do, which do you choose to do?" and it resonated with me a lot.

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> Lots of people have really great ideas but very few actually commit to execution.

This is true when you had to work hard for those ideas. Now you have LLMs. It means more people can sling a lot more crap at walls with fewer barriers to entry.

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If you can gin these things up in a weekend then why would you bother with a monthly subscription model for software? The only valuable part is the specification and possibly the hardware to run it. If I were a CTO trying to save money I might pay for the labor to develop good specs, but I would prioritize getting out from under software companies with a rent seeking models and 80 to 90% margins
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It's not a market for lemons. We can share info about the lemons and all choose to use the good ones. There's no information asymmetry.
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It means the same: random lottery of mass, with everuone else failing.

American capitalism hides the depressing fact that rarely does the best succees.

AAI momentum is parallel to just buying lottery tickets and doing so with the belief that you know the real odds, so one can overwhelm with quantity of tickets.

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in the 90-ies anyone could easily prototype with tools like Access (and all the other "4GL" tools which were similarly all the rage back then). That still didn't preclude companies from buying their major software from software vendors instead of doing it themselves.

In some sense having customer able to prototype what they want is a good thing. I did it myself as i was at the time on that side, and having a quick-whip-it tool was a good thing to quickly get some feature that was missing in the major software before that major software would add it (if at all). (And if one remembers for example Crystal Reports - while for "reports", it and the likes were in many senses such quick-whip-it tools for a lot of such customization that was doable by the customer.)

So, after initial aftershock - "Ahhhh, we don't need software companies anymore!" - we'll get to the state with software companies still doing their thing just with a lot of AI as specialization is one of the main thing in modern economy and AI becomes most powerful tools of the trade. (and various AI components themselves will be part of software delivery, like say a very fine-tuned model (hosted or on-premise) specific to the customer and software - Clippy on steroids)

(Of course some companies wouldn't survive the transition just like some companies didn't survive the transitions to client/server, cloud, etc. while some new companies will emerge like Anthropic has today or Borland had at the time)

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In any usable product making a product is like 20% or less. Enter compliance, security, payments and a million other things.

Even if you can build it in a day B2B SaaS will continue to prosper because they sell peace of mind, reliability and compliance. Not features.

Also due to economy of scale it will always be cheaper to buy something from a vendor that sells it to many clients than to DIY it.

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Yep. Wait until they realize one of their vibe coded apps validates everything client side and their entire DB is open to the world.
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Like that never happened with non-vibecoded stuff.
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Of course it has, but it's more likely to happen when nobody is paying attention.
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Yep. It's a funny thing.

You build a Twitter. Profiles have posts, posts can have images, etc. It's very easy to model the database.

But then how do you make money with it? Now you need to build a separate system for advertising? Or do you want to sell subscriptions? Which means you need to build a separate system to handle payments. This is usually the big one, because when you handle money, what happens if there is a bug and you charge someone without delivering anything? How do you prevent fraud? How do you handle disputes?

Someone posted something illegal. What do you do in this situation? Do you call the police? The FBI? What kind of data do you give the authorities? How much data SHOULD you have been logging in the first place in case something like this happens?

One user doesn't like you so he bought a botnet to DDoS your website. How do you handle this? Are they mass posting? Mass creating accounts? Is it possible for them to exhaust all the usernames possible and then nobody can create an account anymore?

Your website is online but if the server blows up you'll lose all the data in the database. You need backups. You need a system to ensure the backups are actually working. But then some guy from the UK said he wants his posts all deleted. What are you going to do now, because his posts are also in the backups, and you don't want to touch those.

Trolls are posting things against the ToS. Who handles these things? Shadowban? So there needs to be a shadowban system? Moderators? So there needs to be a moderator-only section of the website? Should this be integrated with the main website or not?

Then you look at this horrendous mess of 6 paragraphs and you think back about the first paragraph that already did everything you wanted from Twitter. All these other systems, most of the work, and all you actually wanted was the first paragraph.

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All those things are true. It still doesn’t sound like 1000+ engineers at 350k/yr.

What actually happens in a startup is you encounter these problems one at a time as they arise.

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> We are certainly closer now to being able to prototype and go to market faster with a product.

Prototype maybe. Go to market maybe not so. It's giving false hope. You're just taking more shortcuts with prototyping.

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