Is that enough though? Women change their entire bodies, sacrifice years of their lives, and go through considerable stress to have a baby. And at the end, the benefits of that ordeal are not clear.
Society would need to offer something to offset all those costs.
I agree. It comes down to the opportunity cost for women to have babies.
On pre-industrialized societies, women have barely a choice. On industrialized ones they do. And it turns out that, when given the choice, they choose not to have babies.
I have been doing this and the results have been fairly good.
I use claude to build requirements.md -> implementation.md -> todo.md. Then I tell opencode + openrouter to read those files and follow the todo using a cheap (many times free) model.
It works 90% of the time. The other 10% it will get stuck, in which case I revert to claude.
That has allowed me to stay on the $20/month claude subscription as opposed to the $100.
> If you search for problems on linux, you will get much higher quality answers.
Not only that, but in the past I've cooked hacky bash scripts to work around issues while waiting for upstream fixes. I'd imagine that'd be harder with other OSs.
I usually define functional programming as "how far away a language is from untyped lambda calculus". By that definition, different languages would fall in different parts of that spectrum.
> The real secret to agent productivity is letting go of your understanding of the code and trusting the AI to generate the proper thing
The few times I've done that, the agent eventually faced a problem/bug it couldn't solve and I had to go and read the entire codebase myself.
Then, found several subtle bugs (like writing private keys to disk even when that was an explicit instruction not to). Eventually ended up refactoring most of it.
It does have value on coming up with boilerplate code that I then tweak.
This is great! Coincidentally, I just started replacing my collection of bespoke security bash scripts with an app like yours. WIP here: https://github.com/leolimasa/age-vault
This echoes my sentiment that LLMs are higher level programming languages. And, as every layer of abstraction, they add assumptions that may or may not fit the use case. The same way we optimize SQL queries by knowing how the database makes a query plan, we need to optimize LLM outputs, specially when the assumptions given are not ideal.