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Comment by throwuwu | Hacker News Reader

As always, you still have to bring your own ideas and hustle to the table. The difference is that GPT flattens the learning curve on a lot of things that would previously prevent you from executing on your ideas and it helps keep the momentum up when you hit the hard part of the grind.

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It’s amazing for prototypes and writing utility functions, but for fully scalable and supportable architecture it’s a long ways off.

Likewise, it often generates very complex and confusing code - specifically regex in my experience where I can get the job done in a much more readable way.

Don’t get me wrong, I use it all day as a little coding helper, but while it can say, advise you on how to set up a distributed system, it’s not rolling out VMs and DB clusters.

Being amazing at prototypes is exactly what a one dev operation needs. You can worry about scaling after you know whether people will pay for it or not.

100% agree and that’s what I use it for. My point is more it’s a time saver, but not a replacement for higher order operations. Yet.

Yeah people haven’t used GPT enough if they think it can do all these things. Same with AutoGPT - it’s a total joke that got hyped up to high heavens. Go try to make it actually do anything of value and watch it struggle to parse Google results and get stuck in an infinite loop every time. LangChain has the right idea because you must break down the task to small parts and program the thing to do the correct thing after each step

It’s a really good intern.

What's the fundamental difference between generating Terraform to a spec and "rolling out VMs and DB clusters"?

And it does so for everyone else. The landscape is as flat as ever, the winning party is whoever you pay for running GPT.

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