Pretty close, they're very close to Heroku in spirit except the new wave of hosted backends (Vercel, and to a lesser extent Supabase and Cloudflare Workers) are much more tightly integrated with the app layer. You can almost think of them as libraries that run in the cloud which you can just use inside your app.
That's a fair response. I could see how some folks would benefit. I suppose what bothers me more is that they don't actually seem pedagogical in nature, they seem promotional.
I don't think it's meant to be mean or divisive, he clearly had trouble dating and he feels his conservative Christian upbringing was partially responsible for that. If you think he's wrongly attributing it to those things, fair enough, but his experience is still valid.
EDIT: just saw your reply to a similar comment below, appreciate your response!
If the bar is knowing how to type a question into a box, I'm confident almost everyone is better off starting with that then reading a "cookbook" that starts with installing python packages.
Gotta be honest, almost every "how to use AI" resource seems pointless to me. I'm either going to ask the AI how to do it, or if it's about using the AI then we can just bake it into the harness or wait for Anthropic/OpenAI to do it for me because they're always trivial.
All of these resources on agentic workflows, managing agent memory, harness engineering, etc. appear to just be theatre to me.
This is pretty cool. I could see a future where these kinds of techniques become the norm, and the role of "animator" becomes less about hand drawing animations and more stylistic and taste choices, with I guess the occasional involvement by hand to get the exact result the animator wants. Still, the boundary between art and slop is super fine here.
This isn't useful advice for addictive things that have high short term reward and high long term regret though. Especially so when the other party has a strong incentive to keep you trapped in that loop of regret.
All word of mouth from former colleagues, friends and family, who gave me a warm intro to people looking to have someone come talk to them. Good luck!!
I don't think irresponsible is the right word, but it has drastically reduced Bun's appeal. All the tools we use have a brand to them, and Bun basically changed their brand overnight to "reckless" in my eyes.
I'd guess you're maybe working on more established codebases then? I see this regularly with my clients. I work in sprints and they pay for my time, so they will often deprioritise engineering/robustness work if it's taking up time that could be used some shiny new feature they want.
Also it's rarely "I want new features and I'm happy for them to be buggy or sluggish", it's more "We want to solve this problem and we're not exactly sure what the solution will look like, so lets try stuff and accept it's not going to be perfect"
> The larger point is that while AI coding tools make it easy to pump out lots of code, it’s really (still) the quality of the code that matters
This conclusion is unsupported from the observations. The code makes lots of requests, has too much CSS, and 6 different logo formats. So what? Lots of real, production codebases have just as many warts.
Folks need to stop dealing in absolutes with AI coding. Code quality always mattered, and still does, in certain circumstances. In others, it's less important and speed of iteration has more value. That's still true even with AI code.
I haven't really used redis much so curious to hear your perspective - this seems the opposite to me? A materialised view is just taking the data I already have and rendering it in a different way to speed up my access patterns. It's easy for me to understand where its all coming from, and it's all directly mapped back to the source data so if things change I can easily understand why it might break etc.
For redis, it seems there's no "out of the box" way to take some data from my DB and cache it. It seems it needs to be hand rolled per query you're optimising, you lose any structural link to the source data (redis doesn't know about my table structure), and now I have another service I need to worry about. Or is it much easier nowadays than I am thinking?
I’d push back on this, I think people have a very intrinsic sense of what is valuable and often if you think it’s “perception” of value being rewarded, it’s just that you value something different than that person.
Even in performative scenarios, like say someone gets promoted at work over another person because they are a great “performer” and always make noise, whereas the other actually delivers - they’re being promoted because the promotion is defensible and legible for their superior. That is true value for them, just not to another viewer.
I think GPT 4.5 showed that there is indeed a practical limit we're close too. That was supposedly a high-trillions of parameter model that was deprecated almost immediately because it was slow, insanely expensive, and had questionable benefits over the smaller models. Though apparently the new Mythos and whatever GPT Spud is (if it wasn't 5.5) are back up in the high trillions.
They are fundamentally different, but people desire they be aligned. The public expects the economy to producing higher quality of life for us, otherwise what is it doing? And for whom? But whether it actually does so is a function of other things. That gap seems bigger than usual right now with AI and tech eating the whole economy.