JaviCifuentesA

Marketing, Sales & Web Development.
Over 12 years of experience supporting to SMBs by creating Value and Growth.

[freeCodeCamp.org @freeCodeCamp]

One LLM prompt can get messy when it has to plan, write, and review all at once.

In this tutorial, Darsh shows how to build your first multi-agent AI system in Python and LangGraph.

You'll use Ollama, Qwen, focused agent prompts, shared state, nodes, and edges to build a local study guide generator.

https://t.co/5ZJWP4cRlB

[Roan @RohOnChain]

My friend applied to 200 tech jobs in two years. No MIT. No Stanford.

Last month Anthropic offered him $750,000.

I asked him how he broke in from zero.

He sent me the exact video that got him in. A 4-hour course on mastering Claude Code.

I watched it last night.

Halfway through, I realized I've been using Claude Code completely wrong for a year.

Bookmark this and read the article below.

• 00:00 - Claude Code setup
• 49:34 - building apps with Claude Code
• 2:07:52 - prompting Claude Code
• 2:46:16 - Claude Code for production

[Regalos Digitales @RegalosDigitals]

https://t.co/NoT37SMfWq

[Ben Pierron @Ben_escrito]

🚨 Google Gemini ahora puede reprogramar por completo tu cerebro para que aprendas cualquier cosa a velocidad relámpago.

Aquí tienes 7 prompts de Gemini para aprender cualquier cosa 10 veces más rápido:

[freeCodeCamp.org @freeCodeCamp]

ChatGPT apps need more than a prompt. They need tools, UI, auth, data, and deployment.

In this tutorial, @a0m0rajab explains how to build an MCP server and connect it to ChatGPT.

You'll create a todo app with Node.js, the MCP SDK, Supabase Auth, a database, OAuth flow, DigitalOcean deployment, and more.

https://t.co/9ITeoZRPEu

[freeCodeCamp.org @freeCodeCamp]

Most AI agents only work after you ask them to do something - which works for many use cases.

But here, Darsh shows how to build a local AI assistant that runs on a schedule.

You'll use Python, Ollama, Qwen, LangChain, cron, and Task Scheduler to run daily agents for common recurring tasks.

https://t.co/Rihxdh7Hr3

[freeCodeCamp.org @freeCodeCamp]

AI agents can be super helpful when you're building projects - but they have their issues, too.

And Lee decided, after experimenting with them a bit, that he'd rather build his own.

In this handbook, he walks you through how he made his own autonomous (and more secure) AI agent with n8n and other popular tools.

https://t.co/EFS2C8nufZ

[Miguel Ángel Durán @midudev]

Un agente de código con IA totalmente gratis.
Sin suscripciones, sin pagos ni tarjeta de crédito.

Tiene disponible DeepSeek, Kimi K2.7 y MiniMax M3.

¿Y el truco? Muestra pequeños anuncios de texto entre las respuestas del agente

https://t.co/KKD7wwjwzi

[Nix0n @UnTalNixon_exe]

🚨 TE QUEDAS SIN CUOTA DE CLAUDE CODE A MEDIO PROYECTO?

9Router te permite seguir codificando sin parar.

Es un proxy local que:

→ Conecta Claude Code, Cursor, Codex y más a 40+ proveedores
→ Hace **auto-fallback** automático cuando te quedas sin límite de Claude
→ Ahorra 20-40% de tokens con compresión RTK
→ Tiene modos que reducen tokens de salida hasta 65%
→ Funciona 100% local y es open source

Nunca más te corta el flow por rate limit.

Instalación en un comando:

```bash
npm install -g 9router
9router

REPOOO 👇👇

[freeCodeCamp.org @freeCodeCamp]

Local LLMs can answer prompts, but they can't reach the outside world on their own.

In this tutorial, Darsh shows how to build a local AI agent with tool calling and memory.

You'll use Python, LangChain, and other tools so the agent can call functions, handle follow-up questions, and run on your own machine.

https://t.co/ucAOn1R0Sv

[CodeCrafters @CodeCrafters11]

ALL FREE CERTIFICATION RESOURCES

AWS
https://t.co/24S0lhk6Pb

CISSP
https://t.co/HWgcPPaTDG

CISA
https://t.co/OFeOfr8rnq

CISM
https://t.co/4Q4YnyHt33

Digital Marketing
https://t.co/XvrW8k9lBj

[freeCodeCamp.org @freeCodeCamp]

If you want to improve your programming skills, try comparing and contrasting similar code.

In this in-depth guide, Evaristo walks you through five different versions of a Rock, Paper, Scissors game in JavaScript.

You'll use System Block Diagrams to analyze each project, dissect their methodologies, and learn how to build mental models.

https://t.co/J7Ii0pLqs6

[freeCodeCamp.org @freeCodeCamp]

The command line looks intimidating until you learn the basic patterns.

In this beginner course, you'll learn how to use the terminal on your own computer.

You'll practice navigating folders, managing files and directories, reading and writing data, and using core commands devs rely on every day.

https://t.co/1ew2rMDrJn

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

These are the only 5 file formats you need to know if you want to ace your data engineering interview.

That one question trips up so many data engineers in interviews.

Learn these 5 formats, and you'll always have a sharp answer 👇

1️⃣ 𝗖𝗦𝗩 — the simplest one
Just rows and columns separated by commas.
Need one column? You still read the whole file.
→ Easy to use. Painfully slow on big data.

2️⃣ 𝗝𝗦𝗢𝗡 — flexible and nested
Human-readable and great for messy, semi-structured data.
APIs love it.
→ The catch: bigger files, slower at scale.

3️⃣ 𝗔𝘃𝗿𝗼 — the streaming favorite
Stores the schema together with the data, so you always know what you're reading.
Compresses well and handles schema changes smoothly.
→ Built for streaming, where data keeps evolving.

4️⃣ 𝗣𝗮𝗿𝗾𝘂𝗲𝘁 — columnar and fast
Stores data by column instead of by row.
So you read only the columns you need → much faster queries.
Compresses efficiently too → lower storage bills.

5️⃣ 𝗢𝗽𝗲𝗻 𝗧𝗮𝗯𝗹𝗲 𝗙𝗼𝗿𝗺𝗮𝘁𝘀 (Iceberg + Delta Lake) — the game-changer
These aren't just files. They add database powers on top of your data lake:
→ ACID transactions (safe, reliable writes)
→ Schema evolution (change the structure without breaking things)
→ Time travel (query older versions of your data)
They turn messy data lakes into systems you can actually trust.

𝗧𝗵𝗲 𝗾𝘂𝗶𝗰𝗸 𝗿𝘂𝗹𝗲 𝗼𝗳 𝘁𝗵𝘂𝗺𝗯:
CSV / JSON → small or external data.
Avro → streaming.
Parquet → analytics and heavy queries.
Open Table Formats → when your data lake needs to act like a database.

Know these 5, and the storage round stops being scary.

Which format do you reach for most? 👇

[angel @angeldot_]

GOOGLE ACABA DE LIBERAR SU CLI OFICIAL PARA CONSTRUIR AGENTES DE IA:

Convierte tu coding agent favorito en un experto creando, evaluando y desplegando agentes en Google Cloud.

Funciona con los que ya usas:

→ Claude Code
→ Codex
→ Antigravity CLI
→ y cualquier otro agente del mercado

No es un agente nuevo.

Es una capa de skills y comandos que le da superpoderes al que ya tienes.

Trae 7 skills oficiales que cubren todo el ciclo:

→ scaffold del proyecto
→ código con ADK
→ evaluación con métricas
→ deploy a Google Cloud
→ observabilidad y trazas

Open source y bajo licencia Apache 2.0.

Lo instalas en una línea y empiezas a montar agentes sin pelearte con mil servicios.

GUÁRDALO. 🔖

Enlace abajo👇

[Brais Moure @MoureDev]

Esta es la herramienta que promete solucionar uno de los mayores problemas de los agentes con IA: El consumo de tokens.

Headroom comprime todo antes de que llegue al LLM
→ 60–95% menos tokens
→ Compatible con todos los agentes
→ Mismas respuestas

https://t.co/g08VBslpbW

[Google en español @googleespanol]

¿Quieres dominar por completo la IA en Google Cloud? 🚀

Este CURSO GRATUITO es la guía definitiva para escalar y optimizar tus modelos. Esto es lo que aprenderás:

✅ Fundamentos: Arquitectura de TPUs y compilación con XLA.
✅ Entrenamiento: Escalar modelos masivos con JAX y PyTorch.
✅ Inferencia: Despliegue de alto rendimiento mediante vLLM.
✅ Optimización: Depuración avanzada con XProf y técnicas de post-entrenamiento.

Lleva tus habilidades técnicas al siguiente nivel aquí: https://t.co/besrB8pmb1

[Miguel Ángel Durán @midudev]

¡Brutal Extensión SEO para Programadores Web!
Encuentra errores en tu página, detecta enlaces rotos y te dice qué mejorar:
→ https://t.co/AkAQ2jSTgd

[Google en español @googleespanol]

Conviértete en Analista de Datos con este CURSO GRATUITO 📊

Actualizamos nuestra ruta de aprendizaje para que domines las herramientas clave de la industria:

✅ BigQuery y Gemini
✅ Visualización de datos con Looker

Todo el camino para escalar tus habilidades técnicas está aquí.

🔝Aquí empieza tu ruta: https://t.co/udNoFLWqJk

[freeCodeCamp.org @freeCodeCamp]

Notion Workers let you build native automations without relying on third-party no-code connectors.

In this course, Matthias teaches you how to get started using them.

You'll learn how to pull external data into Notion, push updates to other apps, and automate business logic inside your workspace.

https://t.co/x7ukb0C95O