Miguel Salazar @thebugdev
Software engineering, technical leadership and making sense of AI engineering... Day job: Head of Engineering thebugdev.substack.com Monterrey, MX Joined March 2013-
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@eldermael Buenas notas. Click en Policies and Scale para ver esa nota/link…
the right way to use model capabilities is not to ship 10x more features to prod it's to spend more time understanding your users, trying experiments, building prototypes, learning about things you don't understand so that you can ship things that actually work
IMHO, no toda pero algunos sí y es contextual. Muchos estaban pensados alrededor de la interacción humano-código. Incluso un mismo patrón te puede hacer ganar extensibilidad real en un proyecto, y en otro proyecto el mismo patrón solo facilita navegación humana. Si depende cuáles…
Igual que pasó con lo de agents.md/claude.md , espero que eventualmente dejen de estar tan cerrados con esto
Periodic sadness reminder that the anthropic subscription still does not permit third party harnesses :(
@hiarun02 It could, but the problem is the monthly limit
That’s why I’m not a big fan of Agile frameworks. Too much ceremony that often doesn’t add much real value. Where I think they help is when you need to create a clear narrative of pace and progress, for example, for communicating with a “client” outside the company. But in that case, the cadence itself is part of the value, and nothing more than that.
Scrum made sense at companies/teams that shipped a new version of their product every 2-3 months (or less frequent) As soon as a team got to shipping daily or had CD: they only held teams back Most startups + Big Tech moved on a decade+ ago, legacy companies remained only
Me gustan ese tipo de afirmaciones cuando se plantean como una dirección hacia la cual empujar... Siempre he visto los PRs más como un punto de alineación que como un filtro de calidad. Si "merge anything that passes CI" suena ingenuo o arriesgado, la pregunta es "Por qué?" Qué se espera que detecte el code review? pruebas que no hay? decisiones de arquitectura? cambios con un blast radius grande? o difícil de hacer rollback? Después de responder eso, puede ser que la conclusión siga siendo que hacer code review es necesario, y está bien. El punto no es exactamente eliminar el paso (o si?). El punto es entender que tiene que ser cierto para que esa restricción deje de ser necesaria. Por eso veo ese tipo de afirmaciones bastante útiles como horizontes de diseño para un equipo de software.
Tech lead says: Code reviews are a waste of time. If the code passes CI, merge it. If it breaks, fix it later. What’s your take?
If you want to see an example on how having the very best AI model and harness doesn’t result in better/faster execution - in fact it slows you; It took the Claude Code team 16 months LONGER (!!) to add support for AGENTS.md than OpenCode & Codex, 12 more vs Cursor
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. You can toggle this behavior in /config.
Y esa rosa?
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. You can toggle this behavior in /config.
Really glad to see Hermes moving in this direction. I’ve been doing something similar with my personal app: keeping Hermes as the core, while building my own interaction layer, integrations, hooks, and workflows on top of it. Glad to see it going this way
We are going to lean into making Hermes more like Pi, and less like OpenClaw
Here's a 45-second TL;DR on Jev. I find the core idea beautifully simple, but the video made it really hard to understand. Hope you find it helpful.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
I integrated Jev / @typesafeai into Runa, my personal app. When a task is delegated to a Pi session and finishes, Runa asks: did this address what was requested? (yes / partial / no), and is there enough evidence? I don’t read it as “is this correct?” It's more like “did this actually address what was asked?” Now I need to use it for a while and see how it works...
Does your Claude model really need Claude Code…? 🤔 We evaluate 7 models on Claude Code, Codex, and Pi. Three surprising findings emerge: 1️⃣Harness choice has little effect on task success rate, but can significantly affect the cost 2️⃣A simple harness can be competitive 3️⃣The native harness isn’t always the best. Millions of people are using coding agents, but the impact of harness choice remains unclear. (1/n) More details in the thread. 🧵
Update: ended up trying z.ai (glm-5.3 and glm-5.3-flash) 10.6M tokens so far... still early to judge, but usage/limits are easy to see. Still curious about Kimi.
I couldn’t have said it better 👇🏻
@GergelyOrosz the org chart is becoming the changelog
Está interesante el tema. En el mismo podcast hay una con Geoffrey Hinton. Menciona algo relacionado pero sobre las emociones. No sé si lo interpreto bien, pero tipo: si se puede replicar el proceso que sucede en una emoción se pierde la línea entre
@goon_nguyen I hit the monthly limit in the first week haha :(
I stopped using X a while ago, and lately I've been trying to get back into it. I'd like to find more people building, experimenting with, or working on AI engineering, agents, and related topics. Any accounts you'd recommend following? And if anyone here would like to connect, I'd be happy to 👋
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