Basic MetaProgramming in Zig(openmymind.net)
94 points by nalgeon | 6 comments
First screen, captured .
Looks similar
In Zig, what's a writer?(openmymind.net)
132 points by todsacerdoti | 65 comments
Zig builds are getting faster(mitchellh.com)
409 points by emschwartz | 191 comments
Mitchell Hashimoto's blog post describing how Zig 0.15.1 has improved build times, using the Ghostty project's upgrade as an example.
Bazzite Post-Mortem(ba.antheas.dev)
50 points by transportheap | 18 comments
Zig's (.{}){} Syntax(openmymind.net)
216 points by todsacerdoti | 138 comments
Related stories
Things Zig comptime won't do(matklad.github.io)
441 points by JadedBlueEyes | 180 comments
A blog post by matklad explaining the deliberate restrictions of Zig's comptime feature, such as no host leakage, and how it stays expressive despite them.
Zig is hard but worth it(ratfactor.com)
352 points by signa11 | 259 comments
A personal blog essay by Ratfactor arguing that the Zig programming language is hard to learn but worth the effort, illustrated with a cartoon.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.
We have traits at home(axelmagn.com)
40 points by Ygg2 | 14 comments
A blog post proposing a convention for compile-time Traits in Zig as comptime structs of functions, compared with interfaces/vtables and comptime duck typing.
That's not an abstraction, that's a layer of indirection(fhur.me)
546 points by fagnerbrack | 213 comments
A blog post arguing that many so-called abstractions in codebases are merely layers of indirection that add complexity and hurt performance without real value.
Deep Learning Is Not So Mysterious or Different(arxiv.org)
445 points by wuubuu | 112 comments
arXiv paper by Andrew Gordon Wilson arguing deep learning generalization phenomena like benign overfitting and double descent are explainable by soft inductive biases.