hectorip (@HectorIP) header
hectorip (@HectorIP) profile picture

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

CDMX, México
Joined August 2010
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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
what's interesting for me in the age of AI is big software software where you're implementing thousands of interfaces. reimplementing swift ui, as we did in dactyl. or reimplementing cloudflare workers, as we did in celld. these are projects that were simply infeasible before due to the scale you need to be able to hill climb on some metrics to do these projects
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hectorip retweeted
AI that writes code faster is only useful if you can tell, just as fast, whether that code is any good.
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hectorip retweeted
DON’T USE YOUR FABLE RESETS ON TOP OF A 100% WEEKLY LIMIT.
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Se que es un ad-hominem pero corregir a Ryan Dahl, en su juego, es pasarte de confianza en tu propia habilidad por mucho.
> shocking that software engineering has transitioned to 100% AI written in such a short time That’s how you know it’s a fad. Sort of like when everyone went RUP. Or everyone used UML. Or everyone needed Big Data. You’re going to see a lot of this walked back in the next few months, after which a much healthier relationship with these tools will develop over time.
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Being able to build cool things is the biggest privilege in life.
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Pero si por supuesto que Uncle Bob, no hay duda.
Replying to @grok
@grok ¿Quién sería mejor escribiendo software estando en su prime?, ¿Elon Musk, Bill Gates, Mark Zuckerberg, Linus Torvalds o Uncle Bob?
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hectorip retweeted
Entendimos mal cuando Jensen decía que le gustaba los modelos chinos 🤣
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Poteto pudo decir miles de cosas y eligió decir la verdad.
we are entering a renaissance in programming language and runtime research, and a golden age of software testing and verification it’s time to rewrite all software
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Jaja acabo de leer a alguien que dice que solo escucha a gente de experiencia real como el Tío Bob. Es como decir que solo lees a los grandes de la literatura como Paulo Cohelo.
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Si pero con MESES de diferencia.
Devs before Claude Code: - First product version: Terrible sucky UI/UX, one main feature, but it mostly worked Devs after Claude Code and vibe coding: - First product version: Amazing beautiful UI/UX, a few dozen features. None of them work well Am I wrong?
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i went to bed and asked claude to paint an autumn tree overnight. at around 4am, it realised that it didn't have some shades -- so it stopped and titrated its own paint: diluting red, sienna and madder step by step on a second palette, then measuring each pocket from a photo. woke up to this beautiful watercolor painting. 303 brush marks, took about 4.5 hours 🍂 (still working on the speed)
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hectorip retweeted
Incredible. I want the next generation to be better and have an easier life than me, that’s why I build things.
programmers who spent years learning to code before ai how does it feel watching a beginner build in minutes
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Read my lips: 2027 will be the year of AI as the partial evaluator we always wished for but could not build by hand.
People thought I was crazy when I wrote “Computing without Processors” in 2011. I’ve long dreamed of one way to program everything that computes. You’d write a single program and compile it automatically to any mix of hardware and software, with the split shifting to fit your performance and cost targets. That’s been hard. Hardware and software use different languages, semantic models, and abstractions. The people who build them come from different university departments with very different cultures. These divisions exist because of how humans organize themselves, and because of the limits of human brains. AI doesn’t care about any of this turf marking. It relentlessly synthesizes hardware and software together, integrates them, and formally verifies the result, or makes it correct by construction by deriving it from a formal spec. In some cases we may not need CPUs at all: an application’s control logic gets “partially evaluated” and dissolved into the computation itself. I’m hoping to get the last laugh, probably sometime in 2027. dl.acm.org/doi/10.1145/19785…
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hectorip retweeted
more true than ever
A huge amount of the Anti-AI code sentiment massively overestimates the quality of human code outside of a very small set of open source and high quality company codebases. Human Slop is everywhere and can trivially be improved on by any opus level model.
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Pero esas personas buenas ahora producen cosas 20x mejores.
La realidad es que las personas que son *realmente* buenas usando IA, son las que igual serían buenas *sin* IA.
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Hace 6 meses varios devs mexicanos aquí me decían que la IA solo escribía código basura. Me parece que ya se les bajaron los humos.
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Esto es más que obvio y visible ahora mismo. Era una bonita ilusión pensar que hacíamos cosas seguras. Y lo mismo va a pasar con matemáticas, las ciencias y el arte: nuestros logros se van a ver chiquitos.
I can confidently say that humans were not very good at writing secure infrastructure. The endstate will be hypersecure infrastructure and software for all, but we're going to go through some turbulence before we reach that.
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Mañana durante el #CÓDIGOFEST de @codigofacilito, @HectorIP y yo hablaremos sobre si deberíamos seguir leyendo y escribiendo código, o esa tarea debería ser totalmente de los agentes.
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Cuando pasa esto te dicen: “corregí lo que me pediste, pero de paso vi que estás bien estúpido y te equivocaste en X, pero no lo toqué”. Y yo con mi cara de payaso.
I am completely in awe of ChatGPT Pro. Today I gave the final version of our article to my my personal ChatGPT Plus, intended it only to correct typos and possibly the English. Instead it found a serious mathematical error.
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There will never be a formal proof method that ensures a program behaviour matches what’s in your head
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