The socialist government of Spain is currently enacting a self-coup: after Congress rejected two laws last Friday, they've decided to dissolve Congress and pass them anyway using a separate organ they control. This is a shameful, terrifying precedent for the country.
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🔴 El Gobierno aprueba dos decretos de vivienda "que mantienen la esencia" de los que fueron tumbados
🗣️ "Cuando el Congreso da la espalda a lo que se pide en la calle, este Gobierno no va a mirar para otro lado"
📲 #
Antena3Noticias#
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Scott is right. The SHA256 default in Git 3 is an extremely expensive piece of security theater. My advice: when Git 3 ships, stay the fuck away from SHA256 repositories because they are _not_ going to work at launch, and it'll be many years until they do.
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Working on the Git Merge conf videos and watching
@nasamuffin's excellent SHA-256 talk, I was again filled with the dread of Git 3.0's upcoming hashing default switch.
I wrote up why I feel this is a huge mistake and why I think it shouldn't be done:
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Just got a monthly digest from PlanetScale on my inbox and they’ve shipped so many blog posts in September that the full list doesn’t fit in the Gmail body. 19 actual engineering posts in a month lol. goated company.
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What a humbling feat of engineering. Congratulations to the team on this amazing feat! Really puts in perspective "being good at your job".
Starship performs its orbital insertion burn and enters orbit of Earth for the first time
When a nerd tells me they don't use agents "because I can write better code than any agent", I usually go "huh, sure buddy, you do you". When they tell they don't use agents for monitoring, I just laugh in their face.
Seriously. You can't monitor a production deploy better than an agent can. I dunno about AGI but this specific job is something that an LLM can already do better than every single human in the world. For me, as a systems engineer, having agents monitor my infra changes has been (no joke) more impactful in my day-to-day work than having agents write my code.
I started doing this many months ago by asking the agent to monitor explicitly after I triggered a deploy; soon after I moved to using a set of my own Skills. Now our Review Agents team has fully automated this workflow with delightful UX and obviously I'm not going back.
It's hard to overstate how powerful this is. All it takes, for me, in production:
- The Datadog MCP
- The PlanetScale MCP (for all our databases)
- Our custom MCP for deploys and internal tooling
That's it. Some carefully designed gradual deploy pipelines, and the agent just takes care of everything from there. You can't really deploy SEVs to production anymore.
Doing infra like this is pure joy. And the safety is just a tiny part of it. The Rollout agent also does the actually hard part of my job, which is _performance_.
When the changes you're deploying are a performance optimization, the agent prepares a monitoring plan that ensures the optimization is correct AND effective. I rarely prompt benchmarks for my optimizations anymore. Just fucking go to prod and the agent is gonna give me the best possible benchmark.
If you work on systems or infra for a living, you should be setting up your production environments so you can use Rollouts. Not doing so is actually reckless.
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Introducing Rollouts.
Rollouts write a monitoring plan, then watch changes as they deploy.
Deployments are verified, so regressions are caught before users see them.
Grok 4.7 is here.
It's a notable improvement over Grok 4.6 at the same price and speed.
This is nothing. There's no frontier AI development in this country. The very few Spanish engineers working on frontier AI are working for American companies. It is literally impossible to develop competitive AI in the socialist hellscape that this guy has thrust upon us.
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Hoy presentamos el Plan IA360 para un despliegue responsable de la Inteligencia Artificial.
Un plan con acciones concretas a desarrollar en los proximos 12 meses para que España aproveche las oportunidades que la IA ofrece a nuestra economía.
Poniendo en el centro la seguridad ciudadana, la confianza y la protección de los más vulnerables, empezando por los menores.
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Congratulations to the PlanetScale team on this massive ship! This is a seismic shift in scalability for the Postgres ecosystem. I've been playing with Neki and every other approach to scaling Postgres that came before it feels like a toy in comparison.
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Neki is real and you can try it today!
Two of the founders I admire most,
@tobi from Shopify and
@chacon from GitButler/GitHub have spent their weekend doing two implementations of the design of Origin's git storage layer I published last week. They're both functional already!
Just another demonstration that all founders are not the same. These fucking nerds have more money than God and whole-ass companies to run and they spend their spare time re-implementing papers for fun. Bullish as fuck.
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Thanks to everyone who read and enjoyed this post. I'm humbled by the reception it's had. I really mean what I wrote in the last section: this is a problem space we deeply care about and we're really committed to delivering. If you work at a small/medium/Enterprise company and are struggling with scale or availability, come chat with us. We'll show you the roadmap, you can stress test, kick the tires... I'm stoked to hop on calls and answer your technical or migration questions. I'm vmg at cursor dot com (or just DM me).
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We're making Git hosting more reliable, performant, and scalable.
This post traces 20 years of Git infrastructure and explains how that history led us to design and operate our Git storage, Origin, as if it were a database.
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Seriously though, this is how I usually do these blog posts: I write down and edit a pretty final version of the post by hand, and leave placeholders that explain what the visualization should look like. Then I just pass it on to Grok 4.6 and let it cook!
I used to use Fable for visualizations (e.g. in the Indexed Grep blog post), which also does a very good job at interactive SVGs, but it had the very bad habit of going "I did your visualization and AKSHUALLY also fixed some of your English grammar because it seemed off". ffffffffffuu please dont fucking do that.
After testing 4.6 here and looking at the quality of the viz and how well it follows instructions (i.e. leaves my text alone, tyvm), I'm not going back!
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Whoever animated and implemented those graphs needs a hug and a raise!
Good news
@grok, you're getting a hug _and_ a raise from Adrián! I'm not sure of what that means in practice. Maybe we'll just feed you a few more GPUs. I'll keep one as your humble prompter and use it to play videogames I guess.
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Whoever animated and implemented those graphs needs a hug and a raise!
I did a write-up of things I learned during my 10-year tenure at GitHub, the things that worked, and what we're trying to improve in Origin.
The scale of the challenge is staggering, but I really want people to know we're putting a lot of thought and care into it.
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Cool ship for my first day at SpaceXAI. I'm stoked to be working on Git infrastructure again!
I think everybody is now very aware of how hard it is to do this stuff at the scale that agents require. Can't wait to blog about our design and operational philosophy for the platform
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This is a major breakthrough in both intelligence and cost efficiency. The team really outdid themselves! Sadly it’s a large enough model that it cannot ship in the EU right away, but it’s coming very soon.
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We've partnered with SpaceXAI to train Grok 4.5.
It’s our most powerful model yet and the first we've built for more than software engineering.
Composer 2.5 is now available inside Grok Build.
Composer 2.5 is a fast, highly intelligent model that excels on long-running tasks and following complex instructions.
Spain’s National Court has charged former Spanish PM José Luis Rodríguez Zapatero with money laundering, influence peddling and other criminal offenses committed in connection with the €53 million bailout of Plus Ultra airlines.
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He also did this one when I was the maintainer of libgit2. He's very good at this!
Some of the most iconic logos in tech were designed by PlanetScale's very own
@jasonlong
Banger blog post from the Turbopuffer team. Great breakdown, great interactive visualization and obviously a great implementation like they always do.
BM25 efficiently scores text, but relevance often depends on more than text (recency, popularity, PageRank)
we score non-text attributes as clauses in the same MAXSCORE plan that evaluates BM25 → better first-stage relevance, still scales to 100M+
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