Desarrollo software. Creador de @TheDojoMX. I’m running out of time.

CDMX, México
Joined August 2010
Este bootcamp nos costó mucho trabajo prepararlo, pero @haro_ca_ y yo estamos muy orgullosos de cómo quedó. Pueden pensarlo como un curso de diseño de sistemas centrado en la capa de datos de las aplicaciones, que normalmente son las bases de datos.
💥 ¿Te perdiste el inicio del Bootcamp de Bases de Datos Avanzado? Tenemos algo que contarte. 🔎 ¡Publicamos los primeros 27 minutos en un video no-listado! 🚀 Héctor Patricio, Tech Lead en Autómata, comparte todo lo que puedes esperar del programa. 💬 Comenta si quieres el link 👀 ¡Aún puedes unirte! Dejamos abiertas las inscripciones semana más. Solo hemos cursado la sesión de inauguración (que ya puedes ver grabada) y quedan el resto de los 6 meses de sesiones sabatinas de 3 hrs. ¿Listo para sumarte? codigofacilito.com/bootcamps…
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hectorip retweeted
they told us in math class in the early 2000s that we wouldn’t have a calculator with us always and 20 years later my friends argue whether or not my pocket phone contains a conscious machine god
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hectorip retweeted
one day you wrote console.log("here") for the last time and didn't even know it
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Unfinished coding side projects are now way easier to complete than unfinished blog posts. I’m perfectly OK with AI writing my code, even the docs. But I flinch at the idea of AI writing my blog posts, which feels like an egregious violation of a fundamental ethnical contract.
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hectorip retweeted
Just found out about recency bias. Maybe the most important bias ever
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hectorip retweeted
if you’re a software engineer you should pivot to being a navigator of complexity
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hectorip retweeted
You think you’re great at thinking until you write.
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Okay, so matrix multiplication on silicon isn’t thinking, but the flow of sodium ions through protein channels embedded in a lipid bilayer is? Why do materialists turn to animist reasoning when the substrate is carbon-based instead of silicon?
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getting absolutely wrecked by this today
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Es completamente cierto eso de que Gemini 4 se llama Argon porque con él tus tokens ar-gon. Me acabé mi límite en media converación, ni siquiera le pedí todo lo que necesitaba.
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claude: the two versions of the code compile to identical binaries, let me benchmark them to make sure they have the same performance ??? claude apparently believes in dualism and must check the binary's immaterial soul
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Best time in history to be a software engineer. Learn more. Build more. Ship more.
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hectorip retweeted
Uno no abre una terminal. Uno nunca no se sale de la terminal!
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Claude Opus: hold my beer
AI is book smart. Not street smart.
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I no longer see any compelling reason to believe that taste is some permanent boundary LLMs won’t cross. It’s already happening.
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hectorip retweeted
I feel so bad for Anthropic's botched PR. Opus 5.5 is simply amazing. Blazingly fast, one-shots animations in a way that I feel like a film director. I can generate 5-10 animations for a scene just to narrow down what I want, then nail the best combo. In the meantime, they're pulling PR stunts, bribing the clerics, and scaring my momma. What an unnecessary tragedy, when the product sells itself.
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hectorip retweeted
This is a friendly reminder that unless you are "lab" and you and your team enjoy INFINITE TOKENS to commit at scale never seen before, you should not be building your own git replacement, neither using it.
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Y QUE TIENEEEEEE. Si esta adecuada a tus necesidades o incluso es un one-shot no le veo problema.
El software propietario está muerto! Todo es construible! *Proceden a construir la app de control de gastos número 5000*
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Desarrolladores legendarios que han peleado por bugs por semanas cuando le piden a Claude que ejecute el plan que él mismo acaba de hacer.
grown men with computer science degrees after typing "plz fix" and hitting enter
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hectorip retweeted
This semester I am teaching a new course on Agentic Systems, which explores the full stack of AI systems: from building and optimizing agent harnesses to serving and optimizing LLM serving infrastructure. Students learn by building, measuring, and optimizing real agents and systems, balancing capability, latency, and cost. Our goal is not just to teach today's AI technologies, but to prepare students to build tomorrow's. All lectures, readings, and assignments are publicly available at cs2680.seas.harvard.edu
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