I'm not trying to discredit your experience and maybe it really is something wrong with the model.

But in my experience those first few prompts / features always feel insanely magical, like you're working with a 10x genius engineer.

Then you start trying to build on the project, refactor things, deploy, productize, etc. and the effectiveness drops off a cliff.

sure, maybe it's still frame-by-frame but so fast and so often that the model retains a rolling context of what's going on and can answer cleanly temporal questions.

"how packages were delivered over the last hour", etc.

I’ve been looking for a good video summarizing / understanding model!

I often ask people when I first see them, “ hey how’s it goin’? “

And 99.9% of the time it’s a short “good, u?”

Very much just a hi/hi type oft thing.

I’m trying to picture the random people I encounter while walking my dog, for example. Neighbors who I don’t know. That’d be a great place to start up a convo as I walk by but I draw a complete blank.

0 skill in this.

I don’t know about others but a big reason I went into software development (whether I want to admit it or not) is because I am “naturally” not very skilled in talking to, or dealing with , people.

While I’ve done very well in tech, the truth is, lacking this skill has only been a detriment.

The problem at this point is I truly don’t like random people, and I have no idea how to fix that. Often people are rude, inconsiderate, selfish, etc. the canonical example is being in a row at the grocery store, walking down the row, someone’s cart is just way out in the center blocking your path, and as you approach, they do nothing.

Anyways “people skills” are definitely a SKILL and one I’ve avoided to my detriment over the years. Need to work on that.

Building wrapper apps on top of LLM APIs takes barely more knowledge and training than normal frontend and backend dev works.

If you want to develop your own models, that’s probably the next layer where you need to learn about training, etc.

Even deeper is Ai research… once upon a time LLMs were not the bleeding edge… it takes research often times theoretical and steeped in physics and math to develop your own “ai”

For greenfield projects it’s absolutely faster to churn out code I’ve written 100 times in the past. I don’t need to write another RBAC system, I just don’t. I don’t need to write another table implementation for a frontend data view.

How Claud helps us is speed and breadth. I can do a lot more in shorter time, and depending on what your goals are this may or may not be valuable to you.

Why the f*ck are we here? Why does ANYTHING exist? What IS this reality?

How “nobody” (very very few) people are trying to figure this out or are bothered by the question and open to talking about it blows my mind mind.

Working on a real product, in production, at scale?

Tread carefully..