forgot_old_user

External partners don't trust the AI companies I think to not steal their work and the partner's moat

what about them?

that seems a little harsh. I think there is a real usability gap which this takes a crack at.

Some ideas like using viewing a linux dir over _ssh_ using native UI components.. seem cool.

I do agree, some of these do seem like they have already been solved in other ways (like an sshfs mount).

it will only get cheaper in the long run

haha I couldn't help but silently mouth "BUT WHHYY" before I clicked this link

I think its great for recruiting. This signals to the world their investment in making Devs happier (one of top two reasons mentioned was "devs were happier with Kotlin")

well it could be a lot cheaper to hire the AI model instead of a human?

> You need to wait a bit before you can start faithfully translating the meaning

I guess it's possible that the AI learns about a specific person over time? That way it can be confident about what's being said as soon the person starts saying it

But wouldn't the same issue apply to user-space TCP implementations too? User-space TCP implementations too could have "path-dependent sequence of accidents" which a power user might eventually need to figure out?

where did you end up going? I love Austin but its a little too hot during the summer.

I think getting customers to sign up is the hardest part. Next they could start adding opt-in features (probably already in the works?) which cost an extra few dollars a month each?

I'm a little disappointed that the author doesn't explain why throwing the exception is much slower.

But the problem is, fixing existing broken stuff might not be rewarded as much as working on the "new feature". This means that if I focus on just fixing the broken stuff, I'd be managed out. Even say I put in the extra effort to fix the broken stuff, and deliver my new features, other thousands of engineers won't do that same- meaning I can't make a meaningful dent.

(i dont work for amazon, but I can imagine it's similar everywhere)