Seems people read the blog but not the code, I looked at the stated rewrite of Numpy in Rust:
> As an introductory project, I rewrote Numpy in Rust. It was great fun.
That's not a rewrite at all it's just a wrapping of an existing linear algebra Rust library (faer, blas, etc..) with a more Numpy like API. It seems to me that every AI project I look at is just a mashup/wrapper over existing things. Where are the real bootstrapped new things with AI ? Is there any big OSS project (Linux kernel, postgresql, Django, whatever) with serious bugfixes or new features implemented by AI that we could look at ?
Are so much people in programming implementing middleware / wrapping existing API all day that it gives them a feeling of liberation to be able to delegate those tasks ?
>Are so much people in programming implementing middleware / wrapping existing API all day that it gives them a feeling of liberation to be able to delegate those tasks ?
Yes. A lot of jobs are providing the glue between other pieces like this and not inventing new algorithms and such.
Perhaps this is why there is such a divide in sincere opinions about AI.
https://github.com/timescale/pg_textsearch
BM25 index for postgres, mostly written by a single (very smart) guy and Claude Code.
> Anecdotally, we use Opus 4.5 constantly on Zed's code base, which is almost a million lines of Rust code and has over 150K active users, and we use it for basically every task you can think of - new features, bug fixes, refactors, prototypes, you name it. The code base is a complex native GUI with no Web tech anywhere in it.
https://news.ycombinator.com/item?id=46522437
Zed is open source so you can look at their PRs and commit history. They even rolled their own Rust GUI framework for the project so it’s a decent case study of working on code that is barely in the training data (if at all).
No true Scotsman would ever do the kind of programming that 95% of the programming in the world is right?
Anyway https://www.reddit.com/r/osdev/comments/1opsicd/just_how_far...
I get vibe-coders not having a good experience once the honeymoon is over. But I'm fascinated that a professional software developer could have such a different experience than I do.
• LLMs generate junk
• LLMs generate a lot of junk> My personal favorite hooks though are these:
"Stop": [
{
"hooks": [
{
"type": "command",
"command": "afplay -v 0.40 /System/Library/Sounds/Morse.aiff"
}]}],
"Notification": [
{
"hooks": [
{
"type": "command",
"command": "afplay -v 0.35 /System/Library/Sounds/Ping.aiff"
}]}]
These are nice but it's even nicer when Claude is talking when it needs your attentionEasy to implement -> can talk to ElevenLabs or OpenAI and it's a pretty delightful experience