Readit NewsI don’t like AI slop but this kind of legislation does nothing. Look at the low quality garbage that already exists, do we really need another step in the flow to catch if it’s AI?
You legislate these problems away.
Even at their peak, Heroku was a niche. If you’d gone conferences like WWDC or Pycon at the time, they’d be well represented, yes, and plenty of people liked them but it wasn’t a secret that they didn’t cover everyone’s needs or that pricing was off putting for many people, and that tended to go up the bigger the company you talked to because larger organizations have more complex needs and they use enough stuff that they already have teams of people with those skills.
Again 15 years even in moderately large organizations it was quite common as a product engineer to not be responsible for the provisioning all the required services for whatever you were building. And again it’s not the rule but it is far from being an exception. Not sure what you’re trying to prove or disprove.
The opposite is also true: one is risking being banned by exascalers.
It's 2026 and banks are still running their mainframe, running windows VMs on VMware and building their enterprise software with Java.
The big boys still have their own datacenters they own.
Sure, they try dabbling with cloud services, and maybe they've pushed their edge out there, and some minor services they can afford to experiment with.
The world's a lot bigger than startups
Your original statement is factually incorrect.
I find it equally disingenuous to suggest that Heroku was only for startups with lavish budgets. Absolutely not true. That’s my only purpose here. Everyone has different experiences but don’t go and push your own narrative as the only one especially when it’s not true.
That said from the risk perspective I assume for what their doing in the data center there is low risk if downtime happens.
I also think the SaaS has is doomed narrative does not work. There is a whole host of compliance, edge cases, reliability that I don’t you can simply bring in house because of AI assisted tools.
With that said I do think there are increasingly a whole host of more service based businesses where they are under threat. Thinking consultancy, legal, marketing or other similar roles. If you can use a leading model with these massive context windows to get 80% of the value for practically no time and no real cost compared to using a human where the quality will be higher might it might be a multi day engagement and easily 10-20k, you might start deferring some of the initial work to AI and only in certain cases then send it out to the human.