Alexander Echavarria Perez

Chimbotano,
Ingeniero de Sistemas,
DevOps,
Developer,
Scrum Master,
Product Owner,
TL,
Viajero

[Alexander Echavarria Perez @alechape]

Con paciencia se logró llegar!!
#montaña7colores
#cusco

[Amto @XAMTO_AI]

兄弟们，程序员跪着啃源码的时代终于要翻篇了！🔥

这玩意儿叫 Understand Anything，GitHub 直接冲到 59.2k 星，Trending 第一，真不是吹的。

它能把整个代码库变成可点可问的知识图谱：

1️⃣ 点函数秒出依赖关系，谁调谁一目了然

2️⃣ 直接开口问“支付流程怎么走”，答案秒回

3️⃣ 改代码前跑一下 /understand-diff，哪块会爆提前知道

Claude Code、Cursor、VS Code 全支持，一行命令搞定。

20 万行屎山，10 分钟从懵逼到通透，真香。
🔗：https://t.co/8RxgwFsTsu

[CopyRebeldia @CopyRebeldia]

El negocio de cobrarte cada mes por convertir tus reuniones en un resumen acaba de tener un día muy malo.

Microsoft soltó gratis en GitHub un modelo que se traga una hora entera de audio de una sola pasada y la devuelve ordenada: esto lo dijo uno en el minuto 12, esto otro en el 34. Quién, cuándo y qué.

Sin trocear el audio. Sin que nadie pase la noche pasándolo a limpio.

Media industria que vivía de este marrón lleva el día mirando el repo en silencio.

Se llama VibeVoice.

[clovis @clovisdsdo]

They removed Kubernetes from production, and their AWS bill dropped 68%.

Kubernetes was solving a problem they did not really have.
small team, few services, low scaling needs.

But they were managing:
- Helm charts
- YAML complexity
- custom operators
- platform maintenance
- debugging pods instead of product issues

At some point, the infrastructure became more complex than the application.

That is the lesson
✅Kubernetes is powerful when you need scale, orchestration, and platform control.
⚠️if your system is simple, Kubernetes become expensive

[Jami @expertwith_AI]

All Paid Courses (Free for First 4500 People)

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking

(72 Hours only )

Like + RT + comment ' Drive '

Must Follow me so I can DM you.

[Melchor Santiago @MelchorSan26]

🚨 ¡NOTICIA URGENTE: NotebookLM ahora puede enseñarte como un tutor privado de cualquier universidad prestigiosa!! Totalmente gratis

Aquí tienes 8 prompts (órdenes) que reemplazan horas de lecciones pagadas:
(Guarda esto antes de que se te escape)
Hilo:

[Arti Shah @TechByArti]

20 Completely FREE Programming Courses for 2026:

1. Python
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2. JavaScript
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3. SQL
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4. Java
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5. React 19
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6. React Native
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7. Django
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8. C++
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9. Rust
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10. TypeScript
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11. Golang
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12. C#
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13. Kotlin
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14. Swift
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15. PHP
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16. C
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17. DSA
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18. Machine Learning
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19. LLM
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20. Generative AI
https://t.co/422bgvQUKa

[Shraddha Bharuka @BharukaShraddha]

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📌 Save this for later
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[Miguel Ángel Durán @midudev]

Si quieres aprender Python, he traducido el libro de "Piensa en Python". Es gratuito y lo puedes descargar en PDF o ver en HTML.

Con todo lo que necesitas para aprender desde cero:
→ https://t.co/q15DiOb5h3

[Guillermo Casaus @_guillecasaus]

Claude Code ahora puede funcionar gratis y sin suscripción.

Han creado free-claude-code, un proxy open-source que convierte las llamadas de Claude Code al formato de NVIDIA NIM usando una API gratuita.

Esto es lo que incluye:

→ Hasta 40 requests por minuto sin pagar
→ Compatible con modelos como Kimi K2, GLM 4.7, Devstral o MiniMax M2
→ Streaming de reasoning y tool calls en tiempo real
→ Proxy local para usar Claude Code apuntando a localhost
→ Bot de Telegram integrado para controlar Claude Code desde el móvil

Lo más interesante:

Puedes seguir usando Claude Code prácticamente igual, pero sin depender de una suscripción de Anthropic.

Todo funciona en local.
Sin límites de pago.
Y con setup de apenas unos minutos.

Te dejo el repo en comentarios 👇

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[Carlos-cryptofinanzaslibres @escapasistema]

Un profesor del MIT dio la misma conferencia cada enero durante 40 años, y cada una de las veces no cabía ni un alma en el aula.

La vi a las 2 de la mañana y cambió por completo mi forma de entender la comunicación.

Su nombre era Patrick Winston. La conferencia se titula "Cómo hablar" (How to Speak).

Su frase de apertura te golpea como un camión: "Tu éxito en la vida vendrá determinado en gran medida por tu capacidad para hablar, tu capacidad para escribir y la calidad de tus ideas, en ese orden".

Ni tu nota media, ni tus títulos, ni tu coeficiente intelectual. Cómo hablas es lo que separa a las personas que son escuchadas de las que son ignoradas.

Este es el esquema que inculcó a los estudiantes del MIT durante cuatro décadas:

1) Nunca empieces con un chiste: Empieza diciendo a la gente exactamente qué es lo que va a aprender. "Prepara la bomba antes de verter nada". Él lo llamaba la "promesa de empoderamiento": dales una razón para no levantarse del asiento en los primeros 60 segundos.

2) La regla de las 5S: Para que una idea se quede grabada debe ser: Símbolo, Slogan, Sorpresa, Saliente (relevante) e Historia (Story). Cualquier idea que valga la pena recordar cumple al menos tres de estas.

3) La técnica del "casi acierto" (Near Miss): Esta parte me dejó alucinado. No te limites a mostrar lo que está bien; muestra lo que parece estar bien pero no lo está. Ese contraste es lo que hace que el cerebro registre algo de forma permanente.

4) Su regla final: Termina con una contribución, no con un resumen. No recapitules lo que ya dijiste. Dile a la gente qué les has dado que no tenían antes de entrar por la puerta.

He usado este esquema en ventas, entrevistas y presentaciones desde que lo vi, y los resultados no son sutiles.

Patrick Winston falleció en 2019, pero esta clase sigue siendo gratuita en el OpenCourseWare del MIT. Una hora, vista por millones de personas, y no cuesta absolutamente nada.

Video: "How to Speak", Patrick Winston, MIT OpenCourseWare, RES.TLL-005, January IAP 2018.
Fuente: MIT OpenCourseWare.
Licencia: CC BY-NC-SA.
Términos: ocw. mit. edu/ terms

[Brais Moure @MoureDev]

Ya está publicado mi taller de OpenClaw desde cero!

Un tutorial desde:
📚 Fundamentos
🛠️ Instalación
⚙️ Configuración
🧩 Workspace
🤖 Modelos
🦾 Agentes
🧠 Memoria
🧰 Skills
🔄 Automatizaciones
🌍 Usos reales

→ https://t.co/kKLwAzJUIg

[Serudda @serudda]

Llevo 15 años programando. Y también me siento innecesario.

[Founder Mode @Founder_Mode_]

This 50-minute lecture by Jeff Bezos will teach you more about business than a 2-year MBA program:

[jack @jack]

we're making @blocks smaller today. here's my note to the company.

####

today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone.

first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay.

we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.

i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures.

a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers.

we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold.

to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward.

to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow.

jack

[Sam Altman @sama]

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings.

OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

[James @jamescoder12]

All Paid Courses (Free for First 4500 People)

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)

1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. MBA

(72 Hours only )

To get-
1. Like & Retweet to get DM
2. Reply " All "

[Alexander Echavarria Perez @alechape]

@jamescoder12 All

[✦ VISUAL AI ✦ @VisualconAI]

AUTOMATIZA TODO CON NOTEBOOK LM! 🫵🏼

Este tipo ha grabado 4 horas de tutorial para enseñarte a hacerlo, es una gran oportunidad

[Dhairya @dkare1009]

Stop wasting hours trying to learn AI. 📘📚

I have already done it for you.

With one list. Zero confusion. And no fluff

📹 Videos:

1. LLM Introduction: https://t.co/Qja4lkQubw

2. LLMs from Scratch: https://t.co/DAtGeO5Q4B

3. Agentic AI Overview (Stanford): https://t.co/APcq2ouTyw

4. Building and Evaluating Agents: https://t.co/UeCQBsliKq

5. Building Effective Agents: https://t.co/B2tpQHbte7

6. Building Agents with MCP: https://t.co/CwVBIVUR2y

7. Building an Agent from Scratch: https://t.co/u2jhiZyEKt

8. Philo Agents: https://t.co/lFMIus6afo

🗂️ Repos

1. GenAI Agents: https://t.co/yoTno6S9pJ

2. Microsoft's AI Agents for Beginners: https://t.co/EGGYhcMXWJ

3. Prompt Engineering Guide: https://t.co/fSCoEaG1CN

4. Hands-On Large Language Models: https://t.co/TvpkfJNAip

5. AI Agents for Beginners: https://t.co/EGGYhcMXWJ

6. GenAI Agentshttps://lnkd.in/dEt72MEy

7. Made with ML: https://t.co/cCWWXKhAmu

8. Hands-On AI Engineering:https://t.co/fiLwjmYoY9

9. Awesome Generative AI Guide: https://t.co/MEhtfRlP82

10. Designing Machine Learning Systems: https://t.co/l21VO4spri

11. Machine Learning for Beginners from Microsoft: https://t.co/d3EPcDKuc7

12. LLM Course: https://t.co/xXxETt9y4q

🗺️ Guides

1. Google's Agent Whitepaper: https://t.co/rVDu4EznqD

2. Google's Agent Companion: https://t.co/IWjvSpTbRY

3. Building Effective Agents by Anthropic: https://t.co/0wK5pe6bsE.

4. Claude Code Best Agentic Coding practices: https://t.co/fu7GHgvVpQ

5. OpenAI's Practical Guide to Building Agents: https://t.co/sXpo72Q5fg

📚Books:

1. Understanding Deep Learning: https://t.co/YRV9Kz7Gw6

2. Building an LLM from Scratch: https://t.co/naslph9Isd

3. The LLM Engineering Handbook: https://t.co/BwmUJ6OOwM

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/ZIDeOOaUd7

5. Building Applications with AI Agents - Michael Albada: https://t.co/409SxeQ578

6. AI Agents with MCP - Kyle Stratis: https://t.co/3k9lFG49ok

7. AI Engineering: https://t.co/tHfgc3xlAo

📜 Papers

1. ReAct: https://t.co/8yV9k9RREi

2. Generative Agents: https://t.co/PpaAbCwubR.

3. Toolformer: https://t.co/mSfjjT72hs

4. Chain-of-Thought Prompting: https://t.co/uGktDnG9DJ.

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/4MLjHKduIg

2. MCP with Anthropic: https://t.co/EnUWTrvIzC

3. Building Vector Databases with Pinecone: https://t.co/AmQzrCW44v

4. Vector Databases from Embeddings to Apps: https://t.co/HZbr4UBTlA

5. Agent Memory: https://t.co/TxvrpeCkuR

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