R2 is the 2027 @MotorTrend SUV of the Year! 🏆
Ed Loh, Head of Editorial for MotorTrend, said, “Rivian built vehicles engineered with a clear understanding of what drivers want: a balance of thoughtful design and useful capabilities.”
Read the full story at https://t.co/0xiuf56Bnh.
A big congrats to all the @NATS_Io maintainers, contributors, advocates, end users, and community members who have shaped the NATS ecosystem over the years.
https://t.co/2g5H6KLAyd
Such an amazing journey! @nats_io just turned 16 as well.
A huge thanks to everyone in the ecosystem for your support.
It feels like we are just getting started. At @synadia we have never seen so much interest in NATS as the central nervous system to drive modern distributed systems, cloud to edge, and of course Agentic AI.
NATS has officially graduated from CNCF.
The open source messaging and streaming fabric now provides a proven communication layer for more than 2,000 organizations running distributed systems and agentic workloads.
Read the announcement:https://t.co/WF39wtrW8X
#KubeCon #CloudNativeCon
October in TigerLand is out!
- Official Rust client published!
- State Machine Fuzzer rewritten
- The Tale of TigerStyle x Object Storage
https://t.co/YZNVa2e5kE
We just replaced Firestore subscriptions at @Lovable with a system built on NATS, cutting application payload by 97% compared with sending full results.
Over 2 million concurrent subscriptions at peak. An estimated 40 TB → 1.11 TB actually sent in 30 days.
What’s crazy is that @AtaMarzban94 built the core in 40 days, and we rolled it out without a single user-facing incident.
Using proprietary software that 80% fits used to be fine, now you can just build your own that fits you perfectly. It’s like why would someone buy somewhat-fitting mass-produced clothes if they could easily make their own bespoke?
At @Lovable, we reduced realtime data transfer from an estimated 40 TB to 1.11 TB per month.
@AtaMarzban94 built the core in just 40 days.
Really cool engineering story.
https://t.co/ZmGbhINmeE
.@Lovable keeps 2M+ live subscriptions fresh with @NATS_io—and the code that writes the data never has to trigger a refresh.
Every database change gets published to one specific subject in the hierarchy. Each subscription listens with wildcards, as broadly as it needs, and NATS routes each change to the subscriptions it affects.
For a Lovable dev, a live feature is a backend function written like an API endpoint, plus one hook call on the frontend.
They have ~40 of these today, and teams ship new ones independently!
Check out the full writeup from @AtaMarzban94 below👇️
150K+ injected faults in one test run. Kills, partitions, frozen processes, clogged links, while a thread kept scaling & moving the stream underneath.
In @NATS_io v2.15, that's how we verified our re-designed scales, moves, and peer-removes are reliable in every scenario.
Major changes to @nats_io server in this one, “including fully reworking how scales, moves, and peer-removes work, as well as improving stream backups, stream source recreate detection.”
Tested with Antithesis. Congratulations @synadia@derekcollison!
https://t.co/bSmW2xHE4R
In this day and age software reliability and security are front and center, especially for mission critical infrastructure like @nats_io. I’m so glad we have been working with Will and the team at @AntithesisHQ from their inception.
@nats_io The full write-up on how we used @AntithesisHQ to support our
overhaul of how @NATS_io server handles moving or scaling streams:
https://t.co/QkluHwiSG1
@bcantrill@rust_nyc Huge respect for @bcantrill - but outcomes are all that matters in the end IMO. Languages are already irrelevant in the grand scheme of things.
We will all be learning in coming weeks & months, that most human-made software:
▫️ Was really slow
▫️ Had many security vulnerabilities
▫️ Was under-specified and incorrect
AI will rewrite it all. Many times. It will make it fast, cost-efficient, and secure. It will think about failure modes we couldn't wrap our heads around.
It will prove, formally verify, load test, harden. It will turn memory-unsafe foundations into robust, optimized ones. If you ask, it'll thoroughly document it, teach you about it, make diagrams, animations, and slide decks.
In many ways, we are witnessing the true birth of software engineering.
Omarchy 4.5 is finally here! Traditional desktop mode, M1/M2/M3/Neo compatibility, 50 languages, 7-second installs, and a million other features, fixes, and improvements. https://t.co/lYxY1zFxAM
Gotta love how the top 10 list is now ALL io_uring:
https://t.co/uEAqe2vP3N
also a new video as well. My son told me about it :)
https://t.co/xXXg0EMkR7
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: https://t.co/bOWCcFhCVq