Nice. Lol.

> At this point, I gave up, threw out the LLM code, and rewrote the code. It’s currently about 1,400 lines (about 50% is documentation), and works great.

I've had similar experiences. But I must be "holding it wrong", judging by all the other articles on HN..

Some close or far ancestor was though. :'-)

> I feel that doing the job with the fewest lines of code, is best.

And that is one of my gripes with AI models and code. They are so, so verbose. It's a nightmare.

"Why don't you let AI implement that small feature, it will be faster.", they would ask.

Well, because if do, it will completely pollute my carefully crafted interface that I kept small, simple and understandable for easier maintenance and extension.

And yes, I might spare a few hours by having _it_ work for me. But then I need to spend a more hours to clean-up the code noise and complexification.

Sorry for having polluted the conversation by bringing AI in, when for once, ironically, it was not about AI.. I needed to vent, while fully approving of your take.

No. Apple is also running out of RAM, so you will not have the RAM you need.

That's a nice re-write of history.

What actually happened is that the US said: cut the crap and leave the opaque banking to us, else...

Tangentially, I was wondering if Firecracker micro-vms could be use as light-weight alternatives to a full VM?

Unfortunately, I haven't found a way to set that up as I envisioned it, for the time being.

https://api-www.louvre.fr/sites/default/files/2026-05/prise-...

Not getting that quick dopamine hit the LLMs give you..

Some say you can re-train your system to get back the dopamine hits you used to get from other things, like the enjoyment of the "old fashioned" manual coding and math. Getting there is hard work. And YMMV.

How much system resources does it need to work smoothly? I was also thinking about doing something similar.

I read it as: made an error while typing my password in screensaver mode, needed to wait 10s for the next try.

Waiting 10 s to be able to input your initial password is, I fully agree, not acceptable.. (And even not on Windows, which I try to avoid as much as possible, among other things, for those reasons. :-))

Pardon my ignorance, but how would go about doing that on, say, a standard c++ project?

I get the part where one can use codex/claude with an ide and/or extension. But how does one connect two LLMs together in such a setup?

Uuh.. No? Especially of the training data, as in this case, is of better quality.