Saw this PR and made me realize I haven't opened the rails console in a minute. My agents have read-only access to a production replica and I just don't need it. What a time to be alive
https://t.co/XfW853oH9H
After approx. 24 days at sea, the SpaceX Recovery team successfully guided Starship to a location just off the coast of Christmas Island. A team of SpaceX engineers is on their way to conduct additional analysis on the vehicle in calmer waters before attempting to return it to Starbase
Signups are now open on Code[dot]Storage.
Today, more new repos are created per second on Code Storage than any other platform.
Lovable, Bolt, Amp, Poke, and many more of the largest agentic workloads store their code and agent memory at scale using https://t.co/oJLq0faUTg.
Origin, our code hosting platform, is now live.
It's fast, easy to use, and deeply integrated with Cursor.
Get started by syncing your repos from GitHub.
we run 100+ tpuf clusters, including many that live inside customers' clouds (BYOC). how do you operate a cluster you can't touch?
we don't use Terraform for this. instead, we build a custom control plane to manage the entire fleet without ever reaching in
https://t.co/biEJq4HkvE
Agents on Rails: We ran 8 models against 21 atomic tasks to see which were best at writing Rails code. 3 runs each: a bug report, a security finding, a feature request.
The first benchmark report with findings is now live. So: what did we discover?
As of August 2026:
- Most accurate: @claudeai Opus 5 by @AnthropicAI (by a hair). Solved 92% of runs (58 of 63). (But for a little more than half the cost, you get almost the same accuracy with @Kimi_Moonshot.)
- Cheapest: @OpenAI GPT-5.6 Luna. 73% of runs solved at default medium reasoning effort, and all 63 of its runs cost 90 cents combined.
- Fastest: Luna again, at a median of 3.3 minutes per run task.
- Best combination of all three: @OpenAI GPT-5.6 Sol. 84% accuracy, costing $0.52 and 5 minutes per run.
Read all the findings in the first full benchmark report from @evilmartians here: https://t.co/SxyPPUwDJw
Celebrating small wins is hardwired into "Achieve," our goal-tracking sample app.
We wanted the simple act of checking off a task to feel like a celebration. Instead of the standard #Material ripple, we used Styles to drop in a custom, high-contrast completion animation—specifically, a brand-colored ring that expands and fades on tap, paired with a subtle pressed-state gradient.
It lets us focus entirely on polishing those custom, rewarding micro-interactions while Material handles the foundation.
#GoogleDesign #MaterialDesign #JetpackCompose #AndroidDev #UXDesign #InteractionDesign
We raised a $143M Series C at a $1.5B valuation to build the control layer for software change.
Our first investor got involved for a totally different reason.
That's a small reminder! 👇
As of June 2026, HTTP has a new method - a GET with a `body` 😎
Meet QUERY (RFC 10008).
It lets you send complex queries in the body (like POST) while staying safe, idempotent, and cacheable (like GET). Already works on servers (Node.js, Go, Laravel…).
Browsers are still adding full support, usable now with care, with widespread adoption coming later in 2026+.
RubyLLM::Schema is now Schematist.
It was always a clean, general purpose JSON Schema DSL.
It's now grown to fully cover the latest JSON Schema specs, Draft 2020-12, with no dependencies at all. Which earned it its own name, out of RubyLLM's namespace.
Part of my concerted effort to make Ruby the best language to build with LLMs.
https://t.co/VtWO4Bzrnd
I made a website that plays bangers from indian barbershops
before you became fancy and started visiting salons. you once went to a 'saloon'. ₹20 haircuts. simple hairstyles with music that could fix your soul.
https://t.co/j3E8VfwiUU
i'd a lot of respect for sam (turbolinks etc.), very much gone now. he calls a 9 loc change ai slop. https://t.co/Cln4OXOhMA is living in a different world.