Christian

[Miguel Ángel Durán @midudev]

7 RECURSOS sin coste para programadores

① APIs de IA con capas gratuitas
→ itsfree․ai

② +1500 APIs para tu próximo proyecto
→ publicapis․dev

③ Iconos de empresas y productos en SVG
→ svgl․app

④ 100 bases de datos SQLite de 5GB en la nube
→ turso․tech

⑤ Revisión de Pull Requests con IA para Open Source
→ coderabbit․ai

⑥ 3000 emails al mes desde API
→ resend․com

⑦ Monitoriza 50 webs y APIs sin pagar nada
→ uptimerobot․com

¡Añade tu recurso favorito en los comentarios!

[Miguel Ángel Durán @midudev]

¡Si tienes un servidor propio, necesitas esta guía!
Tiene 137 recetas para proteger tu máquina y aplicación

✓ Autenticación, sesiones y contraseñas
✓ Docker, GraphQL y GitHub Actions
✓ .NET, Java, PHP, SQL...

Oficial de OWASP:
→ https://t.co/zT7u8TaqeT

[freeCodeCamp.org @freeCodeCamp]

Good UI/UX design starts with basic ideas and grows into polished, interactive prototypes.

In this course, Wish teaches you how to design professional interfaces with Figma.

You'll create wireframes, style guides, components, Auto Layout designs, and high-fidelity prototypes for real-world apps.

https://t.co/zQN2FsDVi7

[santi @santtiagom_]

Uber publicó cómo armó su infraestructura de MCP y hay varias ideas muy buenas acá.

imaginate una empresa con miles de servicios internos y muchos equipos conectando agentes a esos sistemas por su cuenta.

cuando eso empieza a crecer, terminás con tooling fragmentado, infra duplicada, distintas formas de exponer tools y poca consistencia en seguridad, discovery y operación.

por eso Uber hizo un MCP Gateway: una capa central entre los agentes y sus servicios internos.

el agente habla MCP y el gateway se encarga de routing, permisos, ejecución y de traducir las llamadas a HTTP, gRPC o TChannel según corresponda.

como Uber ya tenía miles de APIs internas, también hicieron AutoCrawler: recorre sus definiciones, detecta métodos y schemas y genera MCP tools automáticamente. incluso usan un LLM para mejorar las descripciones.

hoy tienen +800 MCP servers y +5000 tools. y ahí aparece otro problema: no podés cargar todas esas definiciones en el contexto del modelo.

para eso crearon Omni MCP. en vez de pasarle miles de tools al agente, este va descubriendo qué server necesita, qué tools tiene disponibles, carga el schema de la correcta y recién ahí ejecuta.

me parece un muy buen ejemplo de cómo cambia la arquitectura cuando los agentes pasan de usar unas pocas tools a trabajar con miles.

terminás necesitando algo muy parecido a un API Gateway para agentes.

[Félix López @flopezluis]

Este curso tiene una pintaza increíble
"AI Engineering from Scratch"
https://t.co/eyrwM40wEj

[Brais Moure @MoureDev]

Gracias por venir a los 3 días del Curso de Desarrollo con IA: El nuevo programador.

He creado una lista con las 3 clases para aprender desde cero el stack actual de programación con IA: Agentes, Skills, MCPs, SDD, Multiagentes...

Gratis, con apuntes y certificado:
→ https://t.co/QMXwPo8hq3

[freeCodeCamp.org @freeCodeCamp]

Building a basic RAG system is one thing. Making it secure, scalable, and production-ready is another.

In this course, Paulo teaches you how to do this with LangChain and vector databases.

You'll explore hybrid search, LangSmith observability, PGVector, security, Agentic RAG, GraphRAG, and multimodal retrieval.

https://t.co/PvcPBTvdjM

[lis @lisaknowsai]

las chicas de OnlyFans tendrán que esforzarse para competir contra las chicas de IA

alguien subió el manual exacto para 2026: crear y vender con IA para llegar a $10k/mes.

y lo mejor de todo: generas los vídeos sin tener que pensar nada. conectas el MCP de Higgsfield a Claude y hace todo por ti

guárdalo y empieza este fin de semana.

[freeCodeCamp.org @freeCodeCamp]

If you're using AI tools to build mobile apps, you'll still need to plan, work on the backend, test, + deploy before shipping.

In this course, you'll build and publish a full-stack social app with Expo and React Native.

You'll use Convex, Clerk, Sentry, and AI coding tools to take it from idea to App Store.

https://t.co/pf9ExCGMi8

[freeCodeCamp.org @freeCodeCamp]

Algorithmic trading combines market data, strategy logic, and brokerage APIs into one system.

In this course, you'll learn how to build a momentum trading app with Python and Django.

You'll use Massive, SnapTrade, and Alpaca Paper to generate signals and execute paper trades along the way.

https://t.co/aiMSUmZ9Nz

[freeCodeCamp.org @freeCodeCamp]

If you want to build an AI project that's more than just an API wrapper, this course is for you.

In it, Ayush takes you through everything from generating ideas to deploying your app.

He also talks about how you can monetize your skills by selling your project idea to clients.

https://t.co/mIKE0hGa3m

[freeCodeCamp.org @freeCodeCamp]

The Linux operating system powers the majority of the world's servers.

So it's a great tool to know. And this course will teach you Linux basics.

You'll learn how to manage & troubleshoot a wide range of systems & you'll practice the concepts with labs.

https://t.co/KVBuH59RSc

[freeCodeCamp.org @freeCodeCamp]

If you're preparing for technical interviews, you may be working through a bunch of LeetCode problems.

And this is helpful, but you should really understand the key concepts behind these DSA problems first.

In this visual handbook, Eda goes over the Data Structures & Algorithms concepts you'll need to know - for both LeetCode & job interviews.

https://t.co/s4QKk5gBs3

[freeCodeCamp.org @freeCodeCamp]

Relational databases are used all the time in software development - so as a dev, you should know how they work.

In this course, you'll learn relational database design from the ground up.

It covers SQL filtering and aggregation, primary, candidate, and super keys, ER diagrams, Normal forms, access control, and more.

https://t.co/Dnd5N0K6ad

[Miguel Ángel Durán @midudev]

Servidor MCP te permite desarrollar y automatizar dispositivos móviles desde tu IA.

✓ Compatible con emuladores de iOS y Android
✓ También con dispositivos reales (free tier)

Para Claude Code, Codex, Gemini...

De código abierto:
https://t.co/EbGHZFkpiU

[Miguel Ángel Durán @midudev]

Anthropic acaba de publicar una guía en Español de cómo sacar el máximo partido a Opus 5.5

① effort: medium por defecto
② No digas "piensa mucho", ajusta effort
③ Di qué NO quieres, sobre todo en frontend

Aquí la guía completa:
https://t.co/TDVD4Q5hSz

[freeCodeCamp.org @freeCodeCamp]

Many devs are using Retrieval Augmented Generation - or RAG - to improve their LLM's capabilities.

And in this course, you'll learn RAG fundamentals, along with key model context protocol concepts.

The course uses the Python SDK and covers chunking strategies, working with AI agents, and lots more.

https://t.co/tcG07C3e22

[freeCodeCamp.org @freeCodeCamp]

Becoming a full-stack developer takes a lot of work - and there are lots of skills to learn.

To make your journey a little easier, here's 48 hours worth of coursework that'll help get you there.

You'll start with basics like HTML & CSS, dive into JavaScript, learn key tools like React and Node.js, and lots more.

https://t.co/znoOfNlSk8

[Miguel Ángel Durán @midudev]

¡Mi Curso completo de Docker desde cero!

✓ Contenedores e imágenes
✓ Dockerización de proyectos
✓ Docker Hub
✓ Modelos de IA en local
✓ Despliegue a producción

→ https://t.co/OHzAxAaCKT

[Amisha Yadav @amisha_explains]

STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI.

I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses.

VIDEOS:
1. LLM Introduction — https://t.co/DilUVzd4KA
2. LLMs from Scratch — https://t.co/q0HSKUIwc6
3. Agentic AI Overview (Stanford) — https://t.co/eyLuA3k3mG
4. Building & Evaluating Agents — https://t.co/EYmiatzvlb
5. Building Effective Agents — https://t.co/k7QauZIBup
6. Building Agents with MCP — https://t.co/JeHUisjzm8
7. Building an Agent from Scratch — https://t.co/LBZyB7wVoy
8. Philo Agents — https://t.co/WL3Rfqv0sq

GITHUB REPOS:
1. GenAI Agents — https://t.co/tfUPjPalJz
2. Microsoft AI Agents for Beginners — https://t.co/z5AAk7O0Rs
3. Prompt Engineering Guide — https://t.co/uNyjnIklFB
4. Hands-On Large Language Models — https://t.co/bLCCamemAM
5. GenAI Agents — https://t.co/iBrLpJJ7Lo
6. Made with ML — https://t.co/ORmiE8Gjo4
7. Hands-On AI Engineering — https://t.co/8BkLqwd7uZ
8. Awesome Generative AI Guide — https://t.co/i0yzp1QO0o
9. Designing Machine Learning Systems — https://t.co/YCM5PsnNJ8
10. Machine Learning for Beginners — https://t.co/dwFLv0V8wt
11. LLM Course — https://t.co/yp9aup3OSL

GUIDES:
1. Google's Agent Whitepaper — https://t.co/3SzXLeTUuV
2. Google's Agent Companion — https://t.co/9ctzJoi5H5
3. Building Effective Agents by Anthropic — https://t.co/9g8exTxXND
4. Claude Code Agentic Coding Practices — https://t.co/gRYW3HXjOL
5. OpenAI's Practical Guide to Building Agents — https://t.co/0wszx4OeJM

BOOKS:
1. Understanding Deep Learning — https://t.co/V809a4HLmn
2. Building an LLM from Scratch — https://t.co/KaNjx4q3J3
3. The LLM Engineering Handbook — https://t.co/PH1U8Jtksf
4. AI Agents: The Definitive Guide — https://t.co/7NLjpAMsZg
5. Building Applications with AI Agents — https://t.co/0NLZCiqgfP
6. AI Agents with MCP — https://t.co/mUPjkTnXJb
7. AI Engineering — https://t.co/DiFJkzLbNs

RESEARCH PAPERS:
1. ReAct — https://t.co/cwkezXZiiv
2. Generative Agents — https://t.co/xj2rzRUVsa
3. Toolformer — https://t.co/N3QTcTEiH7
4. Chain-of-Thought Prompting — https://t.co/5c35Yetrv2

COURSES:
1. Hugging Face Agent Course — https://t.co/FY0k2INNLp
2. MCP with Anthropic — https://t.co/FIkFIvz5ar
3. Building Vector Databases with Pinecone — https://t.co/rLMLsXH1dZ
4. Vector Databases: Embeddings to Apps — https://t.co/gNpscSP5mx
5. Agent Memory — https://t.co/pbHPXpOUO2

No endless searching.
No information overload.
Just resources you can actually use. 🔖

Your future AI skill set will come from consistent building, experimenting, and learning.

Repost so someone else can find this roadmap, and pls consider following
@amisha_explains for more content around AI, Beauty, and businesses.