AlexAndrade.Net | Software engineer

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AlexAndrade.Net | Software engineer

AlexAndrade.Net | Software engineer

@AlexAndradeNet

Master Software Engineering, MBA and Project Management Specialist | Senior QA Automator Engineer

Colombia 가입일 Nisan 2007
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AlexAndrade.Net | Software engineer
AlexAndrade.Net | Software engineer@AlexAndradeNet·
5 automated ways to ensure Code Quality This is essential, and as a QAE or SDET, you must provide your team with automated tools to guarantee it. Although many consider this an aesthetic or style issue, it can affect productivity and lead to poor decisions linkedin.com/pulse/5-automa…
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AlexAndrade.Net | Software engineer 리트윗함
Alan Daitch
Alan Daitch@AlanDaitch·
El padrino de la ciencia de la computación dijo hace 3 años que la IA era un fraude elegante y esta semana acaba de admitir que una le resolvió en una hora lo que él no pudo en semanas. Donald Knuth tiene 88 años, es ganador del premio Turing (como el Nobel pero de matemáticas) e inventó el sistema con el que se escriben todos los papers científicos del mundo. Hace tres años, Donald probó ChatGPT y dijo que la IA generativa era solamente "el arte de fingir" respuestas falsas. Pero esta semana, se le ocurrió preguntarle a Claude, la IA de Anthropic, un problema que lo venía volviendo loco, que dice más o menos así: imaginate un cubo tridimensional, como un Rubik. Cada puntito está conectado con otros tres. El desafío es encontrar tres rutas que pasen por absolutamente todos los puntos exactamente una vez, sin repetir ningún camino, y que entre las tres cubran todas las conexiones posibles. Suena simple, pero la cantidad de combinaciones posibles crece de forma tan monstruosa que ni las computadoras más potentes pueden probarlas todas. Knuth había resuelto el caso más chiquito, el cubo de 3×3×3, pero no el caso general. Claude, en solamente una hora, realizó 31 intentos. Hizo lo que haría un doctorando obsesivo: probó funciones simples: no funcionaron. Probó fuerza bruta: le pareció demasiado lento. Descubrió un patrón serpentino en dos dimensiones, intentó extenderlo a tres y se trabó. Usó algoritmos de optimización, encontró soluciones individuales pero ninguna regla general. En un momento se "dijo" a sí mismo que necesitaba matemática pura: eso es una reformulación de hipótesis, 100% método científico. La exploración 30 detectó un patrón en una solución anterior y la 31 produjo finalmente una regla elegante que funciona para todos los impares. La reacción de Knuth es lo mejor de todo. Dijo que le da alegría descubrir que su conjetura tiene una solución y que celebra "este avance dramático en deducción automática y resolución creativa de problemas". Calificó al plan de Claude como "bastante admirable". Y cerró diciendo: "parece que voy a tener que revisar mis opiniones sobre la IA generativa uno de estos días." La mitad del problema sigue sin resolverse porque la IA se rompió intentando los números pares y Donald, el humano, fue el que tuvo que escribir la demostración rigurosa. Así que no: la IA no nos reemplazó aún del todo, pero tampoco podemos seguir fingiendo que acá no está pasando nada. Cada día que pasa, la IA sigue demostrando resolver algo que hasta ayer parecía imposible.
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AlexAndrade.Net | Software engineer 리트윗함
Bruno Souza
Bruno Souza@brjavaman·
"Microsoft runs on Java. We have over 2.5 million JVMs in production across Microsoft" @JavaOne keynote!!!
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Josh Schultz
Josh Schultz@joshuamschultz·
A consultant quoted me $20k to write ISO 9001 documents. I built a system in Claude Code that does it for free. Here's how it works: I fed it the actual ISO 9001:2015 standard (PDF), an implementation guide for small businesses, and our company profile. Then I built a skill with: - Clause-by-clause mapping for all 10 sections - A required documents matrix (5 mandatory docs, 15 mandatory records) - 25 templates — forms, checklists, logs, policies - 4 commands that draft, deploy, track, and audit /iso9001 section 8 → reads both PDFs, maps Operation requirements to our warehouse processes, drafts a manual section with proper clause references. /iso9001 audit-prep → runs a compliance gap analysis against the full standard. 30+ audit-ready documents. Proper doc numbers. Full traceability. The diagram shows the full architecture.
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AlexAndrade.Net | Software engineer 리트윗함
ₕₐₘₚₜₒₙ
ₕₐₘₚₜₒₙ@hamptonism·
Assembling a Quantum Computer:
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AlexAndrade.Net | Software engineer 리트윗함
Rohan Paul
Rohan Paul@rohanpaul_ai·
Yann LeCun defines Intelligence "Intelligence is not a collection of skills nor an accumulation of declarative knowledge. Intelligence is the ability to accomplish new tasks with no prior training or with fast training. This points to the necessity of System 2, world models, and planning."
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Rohan Paul@rohanpaul_ai

Yann LeCun (@ylecun ) explains why LLMs are so limited in terms of real-world intelligence. Says the biggest LLM is trained on about 30 trillion words, which is roughly 10 to the power 14 bytes of text. That sounds huge, but a 4 year old who has been awake about 16,000 hours has also taken in about 10 to the power 14 bytes through the eyes alone. So a small child has already seen as much raw data as the largest LLM has read. But the child’s data is visual, continuous, noisy, and tied to actions: gravity, objects falling, hands grabbing, people moving, cause and effect. From this, the child builds an internal “world model” and intuitive physics, and can learn new tasks like loading a dishwasher from a handful of demonstrations. LLMs only see disconnected text and are trained just to predict the next token. So they get very good at symbol patterns, exams, and code, but they lack grounded physical understanding, real common sense, and efficient learning from a few messy real-world experiences. --- From 'Pioneer Works' YT channel (link in comment)

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AlexAndrade.Net | Software engineer 리트윗함
Tech Layoff Tracker
Tech Layoff Tracker@TechLayoffLover·
Just got this DM from a follower: Hey dude, I need to vent this to someone who gets it. I've been at this Big Tech company (you know the one) for almost 6 years now—senior SWE, TC around $350k last year with RSUs still vesting. Thought I was bulletproof after surviving the 2023-2024 bloodbaths and then pivoting hard into the AI org. But fuck, the ground is shifting under my feet faster than I can keep up. Last week in our all-hands, leadership was bragging about how the team's "AI leverage ratio" hit 4.2x—meaning each engineer is now shipping what used to take a team of four. They showed the metrics: feature velocity up 180% YoY while headcount's down another 22% since Q4 '25. The slide literally had a photo of Cursor + Claude Sonnet 4 workflows replacing entire squads. Everyone clapped like trained seals, but I saw three faces go pale—they're the mid-level folks who just finished documenting their entire codebase for the "knowledge distillation" project. My direct report, this solid L5 who joined right after me, got put on a 30-day PIP after his productivity dashboard dipped below the new AI-augmented benchmark. The benchmark? It's literally what the offshore team in India hits using the exact prompts he used to write. He trained them on our internal style guide last quarter—now they're outperforming him at $28/hour all-in. He told me privately he's burning through savings and eyeing real estate licensing because "at least houses don't get refactored by agents overnight." The internal job board is a ghost town. Entry-level SWE roles? Frozen since mid-'25. What few postings go up are tagged "AI-native preferred" and get 2,000+ apps in hours, mostly from people already on H-1Bs or contractors. Meanwhile, they're quietly converting more mid-tier positions to "AI orchestration" contractors—$90-110/hour remote from LATAM or Eastern Europe, no benefits, 6-month contracts. My manager admitted in 1:1 that if the next Grok/Claude/Anthropic release closes the last 10-15% quality gap, we'll probably cut another layer. I'm hanging on because I'm one of the ones who owns the prompt libraries and fine-tuning pipelines now. They need humans to babysit the models until the self-improving loops actually work without constant human intervention. But I see the writing: every time we make the system more autonomous, we make our own roles more optional. The alumni Slack is full of 2024-2025 grads DMing for coffee chats because their referrals bounce—67% underemployed or gigging according to the last poll. One kid I mentored last year is back living with parents after burning through his signing bonus. I used to tell people "just upskill in AI, you'll be fine." Now I feel like a fraud saying it. If I lost this tomorrow, I'd be competing with the same offshore talent I've been helping scale, plus a flood of recently "managed out" seniors. My emergency fund is decent, but the mortgage isn't. Thinking about side hustles in trades or something offline—plumbing, electrical, anything that can't be prompted away. This feels like watching the industry eat itself from the inside while pretending it's evolution. You still feeling secure over there, or is it hitting your shop too? Need to hear I'm not going insane.
Tech Layoff Tracker tweet mediaTech Layoff Tracker tweet mediaTech Layoff Tracker tweet mediaTech Layoff Tracker tweet media
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AlexAndrade.Net | Software engineer
Encuesta de las prácticas de QA en Colombia Desde *GreenSQA* los invitamos a participar en el *Reporte Nacional de Calidad de Software 2026* 📈. ¡Su voz como es fundamental para actualizar la radiografía del país! forms.office.com/r/3gZsxUmpZm
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AlexAndrade.Net | Software engineer 리트윗함
NEXTA
NEXTA@nexta_tv·
Scientists have found a cure for depression — it’s gardening A small garden can replace antidepressants. Here’s why: Working with plants shifts the brain to a positive focus — you watch the growth, water, and remove weeds, while negative thoughts disappear. If you're burned out, every leaf or fruit will bring joy. This sense of progress helps normalize dopamine levels, better than sweets or short videos. Plus, you might even lose weight. Just 2-3 hours a week, and soil bacteria trigger serotonin production, while contact with the earth reduces cortisol levels, which in turn decreases anxiety and depression.
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AlexAndrade.Net | Software engineer
AlexAndrade.Net | Software engineer@AlexAndradeNet·
@jofpin Es que debería ser de código abierto y lo único secreto serían las llaves de confirmación. Sobre la seguridad, recuerden la ley de Linus: al estar expuesto a muchos ojos, su calidad se incrementará exponencialmente.
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Jose Pino
Jose Pino@jofpin·
Para proteger la democracia y garantizar transparencia electoral de mi país 🇨🇴, ofrezco donar una auditoría de ciberseguridad independiente a toda la infraestructura tecnológica de #Elecciones2026, enfocada en: •⁠ ⁠Análisis de vulnerabilidades en el código fuente de los softwares •⁠ ⁠Detección de accesos arbitrarios y puertas traseras •⁠ ⁠Pruebas de penetración al sistema Solo pido: 1.⁠ ⁠Mesa técnica plural e independiente 2.⁠ ⁠Acceso completo al código fuente e infraestructura 3.⁠ ⁠Publicación de los hallazgos a toda la ciudadanía La democracia merece total confianza, por eso pongo mi experiencia al servicio de Colombia.
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AlexAndrade.Net | Software engineer
AlexAndrade.Net | Software engineer@AlexAndradeNet·
@KobeissiLetter La empresa escogida por Claude para quebrar hoy es… IBM. Durante el COVID, el gobierno de USA le dio un montón de plata para entrenar gente en COBOL y hacer un traductor a lenguajes como Java. No pudieron. Hoy Anthropic presenta una herramienta para esto
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: IBM stock, $IBM, falls over -10% after Anthropic announces that Claude can streamline COBOL code. It’s becoming increasingly clear how pivotal the times we are in right now truly are.
The Kobeissi Letter tweet media
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AlexAndrade.Net | Software engineer 리트윗함
PabloW
PabloW@pablowasserman·
No tomamos total dimensión de lo que significa que gente de otros ambitos y personalidades que no eligieron ser programadores ahora tengan acceso a crear apps tan fácil. Se abre el espectro de posibilidades a nuevos campos que anteriormente los perfiles dev no tocarían nunca.
Michał Podlewski@trajektoriePL

Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco. A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that. The project is called postvisit.ai. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office. Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place. Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.

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AlexAndrade.Net | Software engineer
AlexAndrade.Net | Software engineer@AlexAndradeNet·
@xfry I’ve read the articles about Claude's involvement in Maduro’s raid. Still, most of it is just gossip and syllogism: if Palantir uses Claude, and the Pentagon uses Palantir, then Claude was used. Maybe this is Sam Altman’s revenge for the Super Bowl ad, expressing being hurt.
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Fredy E
Fredy E@xfry·
La discusión sobre el uso Ético de la IA alcanza un nievo punto algido: 1. ¿Debería o no debería un país usar IA para llevar a cabo ataques militares? 2. ¿Debería o no debería un Gobierno usar IA paragarantizar la seguridad de los ciudadanos? ¿Si es posible, cuales son los parámetros a tener en cuenta? 3. Puede un gobierno sancionar o categorizar como Riesgo Nacional a una empresa de IA que se niegue a proporcionar su modelo para la creación de armas de destrucción masiva?
Verity@improvethenews

Last month, the Journal reported that the Pentagon was already considering cancelling its contract worth up to $200 million with Anthropic amid disagreement over the use of Claude models, particularly with regard to domestic surveillance and autonomous lethal operations. verity.news/story/2026/pen…

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Jules
Jules@julesterpak·
“I come alive at about 1AM”. @DemisHassabis shares how 10PM-4AM is when he does most of his thinking and creative work
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Fredy E
Fredy E@xfry·
En esto se convirtió nuestra vida como Desarrolladores de Software.
Ian Miles Cheong@ianmiles

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

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