Libre Software hacker and lover. Be a nice human being. Edamame fan. “Imagine” will always be my fav tune. Bullish on @nixos_org. he/him.

Madrid, Spain, Pale Blue Dot
Joined March 2009
Rafael Fernández López retweeted
The browser can now verify email addresses. The Email Verification API creates a signed token with the mailbox provider and drops it into a hidden input. Your server verifies it. The user never opens their inbox. Chrome is trying it out with Gmail only: resend.com/blog/email-verifi…
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Rock solid homelab running for the 4 year mark. Amazing companion.
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Rafael Fernández López retweeted
HolaClaw v1.2 is out. It introduces Connectors: a simpler way to add external services to your OpenClaw assistant. Here it is connecting @posthog in under a minute. Download it on holaclaw.ai 👋
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Rafael Fernández López retweeted
My bro @RealFelixRobles invented #weft, a language that current LLMs already understand but humans don't. It's such an strange language that got his account in @x account is suspended. Read more here roblesnotes.com/blog/weft-la… @elonmusk can you help to unsuspend him?
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Your agent is trying to install some program to continue its work? ``` npx skills add curriedsoftware/nixomatic-skill -g -s '*' -a '*' ``` Now try again and touch some grass!
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Rafael Fernández López retweeted
We just open-sourced Capsule, an interactive inspector for AI coding agent sessions. It turns the raw JSON logs from Claude Code, Codex, Copilot, and Gemini into a browsable timeline you can actually read. 🧑‍🚀 capsule.endor.dev
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Rafael Fernández López retweeted
Rover 2.0 is here! Rover is an open source tool for managing and automating coding tasks with AI agents. v2 brings multi-project support, custom workflows, hooks for automations, and enhanced security. npm install -g @endorhq/rover@latest endor.dev/blog/rover-2-0
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Rafael Fernández López retweeted
Rover v1.7 introduces interactive task iteration and the ability to run a task with multiple agents in parallel — making it easier to refine ideas, explore alternatives, and choose the best outcome. 🚀 npm install -g @endorhq/rover endor.dev/blog/rover-1-7
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Ahora @_angelmm y @vomkriege están a punto de hablarnos de cómo gestionar agentes de código con #IA. meetu.ps/e/Pxws7/tQWcQ/i
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Cierre con cita de @paulg! “Vive en el futuro y construye lo que falta”
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Y aprovechando la paralelización, #Rover! 🎁
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La paralelización en segundo plano nos permite utilizar agentes de forma efectiva.
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Es posible hacer composición entre workflows para realizar acciones complejas.
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¿Qué es el “Model Context Protocol” (MCP)? Permite acceder a datos, servicios externos, servicios del sistema operativo, archivos, contenedores…
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Claves en el prompt: objetivo, contexto, plan.
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Trucos para prompting 📚
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Contexto, contexto, contexto, aunque demasiado contexto puede confundir al modelo. La cantidad “apropiada” de contexto.
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