Take a look at SQLite’s test coverage. It’s impressive: https://sqlite.org/testing.html

590x the application code

The fact that AI agents can even build something that purports to be a working database is also impressive.

A small, highly experienced team steering Claude might be able to replicate the architecture and test suite reasonably quickly.

1-shotting something that looks this good means that with a few helping hands, small teams can likely accomplish decades of work in mere months.

Small teams of senior engineers can probably begin to replicate entire companies worth of product surface area.

	▲	gf000 an hour ago \| parent \| next [-]
		Apologies for the snark, but are you also impressed by `git clone` downloading a repository that is openly available on the internet? It can even do that in a loss-less way, instead of burning a bunch of tokens to get a bad, barely working half-copy. Don't get me wrong, I'm no AI hater, they are an impressive technology. But both AI-deniers and hypers need a reality check.
	▲	ncruces 2 hours ago \| parent \| prev \| next [-]
		The other day I asked AI to one-shot an implementation of hyperbolic trig functions for double-double floats. I provided a repo (mine) that already implemented double-double arithmetic, trigonometry, and logarithms/exponentials, with plenty of tests. It produced something that looked this good. It had tests, it followed the style of the existing code base, etc. But it was full of shit and outright lies. After I reviewed it to fix deficiencies, I don't think there was anything left of the original. I had much more success the previous week using an AI to rubber duck the algorithms to implement trig. I am incredibly sceptical that just adding more loops — and less critical thinking/review — to brute force through a solution, is a good idea.
	▲	mos87 an hour ago \| parent \| prev [-]
		Will this work be of any use tho?