Especially prevalent in chip design, except faster RTL can actually make the slow part slower lol
AI tends to over-engineer RTL, and code in general (e.g. code bloat). In software that's kinda fine, but in hardware the extra logic turns into more stuff to place and route. Putting some papers in the replies that talk more in depth about this
And it gets worse on novel stuff like a new accelerator or anything that’s not really publicly available for training. People I've talked to in industry say as they add AI to the front end, their back end is taking a lot longer
Over the last year, I've fallen in love with Rust.
I was a C programmer for about a decade, really loved C, then moved to Python, but always kinda missed C.
Then I discovered Rust, and well, I like it more than C.
I also think we're moving into a time where we can see code as art in many ways. Code can be beautiful, or at least, it is to me.
And while we all write code with agents now, that doesn't mean we can't write beautiful code, and work on improving our code quality.
In a world where agents write all our code, writing better code is actually even more important imo.
Soooo, I've been working on a skill that I use with my agents to write better Rust code, distilled from the Google Rust style guide, the official API Guidelines, Effective Rust, and a couple of others.
Thought I'd share it, it's called BeautifulRust 🦀 ✨
https://t.co/fw8jkfAq5e
@ibuildthecloud chill. i wish they've buildsystem or dev mode which use syd or similar for isolation instead of kernel namespace++ (since dagger is container runtime too so i assume they do same stuff like runc or alike)
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📅 Senin malam, 26 Oktober 2026
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Announcing Dagger 1.0 beta.
Replace Jenkins and GitHub Actions with CI that matches the speed and scale of coding agents without wasting compute or tokens.
Featuring: test-native CI, dev shells, local and remote execution, official modules, and more.
https://t.co/HgVwTUAJi3
Happy 1024 & happy weekend, devs.
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