The most important things to consider when building #software: make it reversible, easy to adapt to future needs or change completely. Velocity is the first metric of code quality.

Second-to-last stop: TigerBeetle in Milano! Join us for a talk by @errebino, followed by Zig-focused lightning talks and demos, and an aperitivo near the venue. Grazie mille to our hosts, @inge4pres and @croloris! ​Dec 6, 5pm luma.com/fbt5g0kx

Published 2 new libraries to aid #Zig ⚡️adoption in #CloudNative ecosystem: 1. yaml.zig: github.com/inge4pres/yaml.zi… YAML 1.2.2 parser, needed in k8s/OTel land to parse all sorts of configurations 2. k8s.zig: github.com/inge4pres/k8s.zig Very barebone #kubernetes client

Excited to announce the TigerBeetle 1000x World Tour! 13 Cities in 6 Days, December 1-6 From AMS, BLR and CPT to VIE—join us! tigerbeetle.com/event/1000x

Thrilled to announce that the first release of the #Zig ⚡ #OpenTelemetry SDK is out! 🚀 github.com/zig-o11y/opentele… Use it, file bugs and share feedback on the GitHub repo!

New blog post is out: "#Zig is great for Observability" 4pr.es/qH_EoHNh My thesis: it is time for O11y ecosystem to consider Zig as relevant due to its characteristics. Shameless plug at the end of the post: we're building an #OpenTelemetry SDK for Zig

Never in the history of programming it’s been so important to know when to use Shift Enter. #software #engineering #ai

For the #OpenTelemetry fans: we just released a new version of the semantic conventions for @ziglang! github.com/zig-o11y/opentele… And we added a doc website to browse all the attributes/metrics! zig-o11y.github.io/opentelem… Much easier now!

Actually managed to find time to write a blog this week! Lots of shiny new features rolled out this month! CPU GPU metrics, abs CPU %, Python 3.13 support, Azul Zing unwinding, and pretty massive performance tweaks in the profiler -- among other things! Link in thread.

Paving the way for unlimited context windows. Introducing @zml_ai /attnd: sparse logarithmic attention, on CPU, over UDP, faster than GPU.

I just published the first version of Zig #opentelemetry semantic conventions github.com/zig-o11y/opentele… this will be paired with the OTel SDK we're developing in parallel to provide Zig users the full spectrum of OTel attributes to populate data points, logs/events and traces.

To the Zig community here: we are building an #OpenTelemetry SDK for Zig, and we're stuck on a couple of hurdles... Join forces with us to make Zig a first-class citizen of OpenTelemetry and Observability! github.com/zig-o11y/opentele…

Interesting times ahead

Brief info and POC for this week's Apple 0click iOS 18.6.1 RCE bug CVE-2025-43300 github.com/b1n4r1b01/n-days/…

We were able to reproduce the strong findings of the HRM paper on ARC-AGI-1. Further, we ran a series of ablation experiments to get to the bottom of what's behind it. Key findings: 1. The HRM model architecture itself (the centerpiece of the paper) is not an important factor. 2. The outer refinement loop (barely mentioned in the paper) is the main driver of performance. 3. Cross-task transfer learning is not very helpful. What matters is training on the tasks you will test on. 4. You can use much fewer data augmentations, especially at inference time. Finding 2 & 3 mean that this approach is a case of *zero-pretraining test-time training*, similar to the recently published "ARC-AGI without pretraining" paper by Liao et al.

I am not an #AI expert, but I stumbled on this paper and it seems like a nice breakthrough. arxiv.org/pdf/2506.21734 Essentially, throwing away the current state of the art based on transformers and modeling a different type of interaction between the layers of the NN.

#Opentelemetry protobuf definitions for Zig are available as a standalone package in github.com/zig-o11y/opentele… 🎉 I will try to backport prior releases, for now the latest v1.7.0 is available for use in all Zig projects

#AWS just killed my startup idea with this preview launch of S3 Vector aws.amazon.com/blogs/aws/int… Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale

TigerStyle existed before TigerBeetle was created, and was intended for software development in general, as a methodology for “higher quality software in less time”. Enjoyed this post from @LewisCTech, which gets it. lewiscampbell.tech/blog/2507…

The core idea: @ziglang's new async I/O is an injectable interface. You inject the I/O implementation and your choice propagates to all dependencies. Simple. Composable. x.com/DominikTornow/status/1…

Elastic Cloud Serverless on @Azure is now GA! Powered by the same Elasticsearch you love, reimagined for the cloud - it's the fastest way to start and scale security, observability, and search hassle-free. Learn more in our latest blog: go.es.io/4lpLKOc