Llevo tiempo con Twitter abandonado por motivos obvios (al menos para mí), y la #BilboStack26 me ha motivado a abrir por fin un Bluesky. ¡Nos vemos allí! bsky.app/profile/jrubr.bsky.…

Spanish PM Pedro Sánchez: Starting next week, my government will implement the following actions: First, we will change the law in Spain to hold platform executives legally accountable for many infringements taking place on their sites. Second, we will turn algorithmic manipulation and amplification of illegal content into a new criminal offense. Third, we will implement a hate and polarization footprint system to track, quantify, and expose how digital platforms fuel division and amplify hate. Fourth, Spain will ban access to social media for minors under the age of 16. Platforms will be required to implement effective age verification systems — not just checkboxes, but real barriers that work. Fifth and last, my government will work with our public prosecutor to investigate and pursue the infringement committed by Grok, TikTok, and Instagram.

Mars can wait. Humanity can’t.

I’m just going to keep reposting this every time a new prediction comes out

Timezones aren’t a problem, mindset is. Remote work forces asynchronous thinking, which often produces better decisions.

Also

Me parece tan ridículo que lo único que puedan pensar, incluso bajo el miedo, es en hacerse rico... Tenemos un problema serio de mentalidad que nos está destruyendo

I wonder if this came next with a whole AI Strategy proposal. Here I see intentions and direction (and naming a couple of promoter/champions). What about values guiding it, capacity building initiatives from the company (not just shifting the training fully on employees), etc

LO QUE NADIE TE CUENTA Este niño tiene un sarcoma osteogénico. Un tumor que te come el hueso. Hace 40 años: amputación directa. Hoy: le quitamos el trozo y ponemos hueso de cadáver. ¿Eso es nuevo? NO. Lleva haciéndose desde que yo no había nacido. ¿Entonces qué cambia? Que ahora antes de abrir hacemos un ensayo general con un muñeco de plástico. Útil, sí. Revolucionario, para nada. LA NOTICIA REAL (que no vende) Para salvar esa pierna necesitas: 3 cirujanos especializados 1 anestesista pediátrico al menos 2 enfermeras 1 circulante Quirófano CERO prisa CERO mirada al beneficio ¿Qué hospital privado puede permitirse esto? NINGUNO. Porque no es rentable dedicar medio equipo toda una mañana a un crío. EL PROBLEMA Nos venden "tecnología futurista" cuando lo revolucionario es otra cosa: que tengamos un sistema que puede gastarse recursos infinitos en salvar la rodilla de un niño sin preguntar cuánto cuesta. Eso NO lo hace una impresora. RESUMEN: Gran cirugía. Equipazo. Resultado perfecto. Pero dejad de vendernos la impresora 3D como si fuera el protagonista. El protagonista es un sistema público que puede hacer Tetris con huesos reales durante 8 horas sin mirar el reloj. Viva la sanidad pública. Que es la única lo suficientemente loca para invertir todo eso en salvar UNA pierna.

All my new code will be closed-source from now on. I've contributed millions of lines of carefully written OSS code over the past decade, spent thousands of hours helping other people. If you want to use my libraries (1M downloads/month) in the future, you have to pay. I made good money funneling people through my OSS and being recognized as expert in several fields. This was entirely based on HUMANS knowing and seeing me by USING and INTERACTING with my code. No humans will ever read my docs again when coding agents do it in seconds. Nobody will even know it's me who built it. Look at Tailwind: 75 million downloads/month, more popular than ever, revenue down 80%, docs traffic down 40%, 75% of engineering team laid off. Someone submitted a PR to add LLM-optimized docs and Wathan had to decline - optimizing for agents accelerates his business's death. He's being asked to build the infrastructure for his own obsolescence. Two of the most common OSS business models: - Open Core: Give away the library, sell premium once you reach critical mass (Tailwind UI, Prisma Accelerate, Supabase Cloud...) - Expertise Moat: Be THE expert in your library - consulting gigs, speaking, higher salary Tailwind just proved the first one is dying. Agents bypass the documentation funnel. They don't see your premium tier. Every project relying on docs-to-premium conversion will face the same pressure: Prisma, Drizzle, MikroORM, Strapi, and many more. The core insight: OSS monetization was always about attention. Human eyeballs on your docs, brand, expertise. That attention has literally moved into attention layers. Your docs trained the models that now make visiting you unnecessary. Human attention paid. Artificial attention doesn't. Some OSS will keep going - wealthy devs doing it for fun or education. That's not a system, that's charity. Most popular OSS runs on economic incentives. Destroy them, they stop playing. Why go closed-source? When the monetization funnel is broken, you move payment to the only point that still exists: access. OSS gave away access hoping to monetize attention downstream. Agents broke downstream. Closed-source gates access directly. The final irony: OSS trained the models now killing it. We built our own replacement. My prediction: a new marketplace emerges, built for agents. Want your agent to use Tailwind? Prisma? Pay per access. Libraries become APIs with meters. The old model: free code -> human attention -> monetization. The new model: pay at the gate or your agent doesn't get in.

if you're using Obsidian with Claude Code, tell me about your workflow, and what you've used it for

I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently. So, here goes.

Last quarter I rolled out Microsoft Copilot to 4,000 employees. $30 per seat per month. $1.4 million annually. I called it "digital transformation." The board loved that phrase. They approved it in eleven minutes. No one asked what it would actually do. Including me. I told everyone it would "10x productivity." That's not a real number. But it sounds like one. HR asked how we'd measure the 10x. I said we'd "leverage analytics dashboards." They stopped asking. Three months later I checked the usage reports. 47 people had opened it. 12 had used it more than once. One of them was me. I used it to summarize an email I could have read in 30 seconds. It took 45 seconds. Plus the time it took to fix the hallucinations. But I called it a "pilot success." Success means the pilot didn't visibly fail. The CFO asked about ROI. I showed him a graph. The graph went up and to the right. It measured "AI enablement." I made that metric up. He nodded approvingly. We're "AI-enabled" now. I don't know what that means. But it's in our investor deck. A senior developer asked why we didn't use Claude or ChatGPT. I said we needed "enterprise-grade security." He asked what that meant. I said "compliance." He asked which compliance. I said "all of them." He looked skeptical. I scheduled him for a "career development conversation." He stopped asking questions. Microsoft sent a case study team. They wanted to feature us as a success story. I told them we "saved 40,000 hours." I calculated that number by multiplying employees by a number I made up. They didn't verify it. They never do. Now we're on Microsoft's website. "Global enterprise achieves 40,000 hours of productivity gains with Copilot." The CEO shared it on LinkedIn. He got 3,000 likes. He's never used Copilot. None of the executives have. We have an exemption. "Strategic focus requires minimal digital distraction." I wrote that policy. The licenses renew next month. I'm requesting an expansion. 5,000 more seats. We haven't used the first 4,000. But this time we'll "drive adoption." Adoption means mandatory training. Training means a 45-minute webinar no one watches. But completion will be tracked. Completion is a metric. Metrics go in dashboards. Dashboards go in board presentations. Board presentations get me promoted. I'll be SVP by Q3. I still don't know what Copilot does. But I know what it's for. It's for showing we're "investing in AI." Investment means spending. Spending means commitment. Commitment means we're serious about the future. The future is whatever I say it is. As long as the graph goes up and to the right.

Funny how companies love global customers but panic at the idea of a global workforce.

Una buena API se reconoce por su documentación. Y esa documentación debe tratarse como un producto vivo. @jrubr se viene a la #scbcn25 para explicar qué hace que docs de API sean realmente útiles: estándares, convenciones claras, guías según perfiles y herramientas.

Unless people themselves have expertise in the area they’re inquiring about, and verify primary sources, they would actually have no way to know whether they have “never had an issue.” It would all seem equally authoritative, whether right or wrong

Ya tenemos el enlace para aplicar a la oferta: quaderno.homerun.co/devops-e…

Dejo por aquí unos cuantos recursos sobre Technical Writing, de mi sesión del open en la @pamplonaswcraft linkedin.com/feed/update/urn… ¡Gracias por todo a organización, patros y asistentes! 💖 #SCPNA #MakeItMatter