It’s the movie they really don’t want you to see: #WhatIsAWoman?
Watch the explosive documentary starring @MattWalshBlog FREE on Twitter for 24 hrs. https://t.co/qDi7thCNid
Anthropic Managed Agents team:
"Fable 5 is our best model for running self-improving agent systems.
Add /loops, dynamic workflows, dreaming and you are unstoppable"
in 13-minutes, Anthropic team shows how to build self-improving agent systems with Fable 5 from scratch.
Worth more than a $500 agent building course.
Live from the last Anthropic stage in Japan. Unpublished.
Anthropic engineer:
"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."
this is one of the best workflows I've seen in a long time
in this video he breaks down exactly how most people are using Claude:
- the 14% you lose to CLAUDE.md before typing a word
- the plugins that 95% of users have never installed
- the caching setup that keeps it at 95% hit rate and almost free
- why starting every chat from zero is the slowest way to use Claude
if you've been using Claude for more than a month and never left the chat window, you've been using one project when you could be running a team of them
instead of another show tonight, watch this
make sure to bookmark it before it gets lost in your feed
full guide in the article below
10 repositorios de GitHub tan buenos que no deberían ser gratuitos.
1. TradingAgents
Un equipo completo de analistas de IA que debate estrategias y ejecuta operaciones en mercados reales. 4 analistas en paralelo: fundamentales, sentimiento, noticias y técnico. Luego un gestor de riesgos y un agente ejecutor. Como tener un equipo de Wall Street que trabaja 24 horas en tu ordenador.
repo - https://t.co/meb8dlqGwB
2. LibreChat
ChatGPT, Claude, Gemini, DeepSeek y 20 modelos más en una sola interfaz. Autoalojado. Soporte nativo para MCP. Tu historial, tu infraestructura, tus datos. OpenAI cobra $20 al mes por su interfaz. Aquí usas tus propias claves y no pagas nada de más.
repo - https://t.co/Uj9Cy3Lbc9
3. HyperFrames
HeyGen abrió el código de su motor de video interno. Escribes HTML. El agente renderiza MP4. Sin React, sin JSX, sin formatos propietarios. GSAP, Lottie y Three.js funcionan de serie. El mismo HTML siempre produce el mismo archivo. Usado en producción por HeyGen, tldraw y TanStack.
repo - https://t.co/EeLlpqK5L2
4. Fincept Terminal
Una terminal Bloomberg que corre en tu laptop. Análisis nivel CFA 1, 2 y 3. Más de 20 agentes de IA inversores que razonan como Buffett, Dalio y Soros. Más de 100 conectores de datos. Bloomberg cobra $24.000 al año. Esto no cuesta nada.
repo - https://t.co/qCQkBgEzLS
5. MoneyPrinterTurbo
Metes una palabra clave. Salen el guion, las imágenes, los subtítulos, la música y el video final en alta calidad. Horizontal o vertical. Sin editar nada a mano. Lo que hacen los creadores de contenido que no quieren que sepas que usan IA.
repo - https://t.co/RtCmSYCQQw
6. Agentic Inbox
Cloudflare acaba de abrir el código de un cliente de email donde un agente de IA lee tu bandeja de entrada y redacta las respuestas. 100% en Cloudflare Workers. Tu email no sale de tu cuenta. Sin servidores externos. Sin suscripción.
repo - https://t.co/mGsN8spCOX
7. VoxCPM2
Clonas cualquier voz con 3 segundos de audio. 30 idiomas. Calidad estudio de 48kHz. Diseñas voces desde texto: "voz masculina grave de locutor de radio". Sin API de pago. Sin que tus muestras de voz salgan de tu máquina. ElevenLabs cobra $22 al mes.
repo - https://t.co/ctUrA0d1K9
8. Flowsint
Introduces un dominio. La herramienta despliega un grafo con todas las IPs, subdominios, emails, wallets cripto y perfiles sociales conectados. Todo almacenado en local. Sin que nadie sepa lo que estás investigando. Para OSINT, due diligence y análisis de competencia.
repo - https://t.co/GTrSEJqSsT
9. addyosmani/agent-skills
El ingeniero de Google que lleva 15 años enseñando rendimiento web a toda la industria publicó sus skills para Claude Code. 23 flujos de trabajo reales probados en producción. API design, code review, debugging, CI/CD y frontend. Instalación con un comando.
repo - https://t.co/ByOJtJlQX3
10. Nango
La capa de integraciones que las empresas pagan $50k al año por alquilar. 700 APIs listas: Salesforce, HubSpot, Slack, Gmail, Stripe, Jira y más. OAuth gestionado. Tu agente de IA genera el código de integración desde un prompt. Usado en producción por Replit, Ramp y Mercor.
repo - https://t.co/i5XmU3GzJK
Estos no son juguetes. Cada uno reemplaza un producto de pago por el que todavía te están cobrando.
Elige uno. Instálalo. Conéctalo a tu flujo de trabajo.
100% gratis. 100% open source.
Claude Code feels completely different once you install this.
Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment.
It scans your project and recommends:
→ hooks
→ skills
→ MCP servers
→ subagents
→ automations
Then sets everything up step-by-step for you.
Most people are using Claude Code completely vanilla…
which is why their experience feels messy.
The real power comes from the ecosystem around it.
Install:
/plugin install claude-code-setup@claude-plugins-official
Bookmark this before you forget it.
Stop telling Claude, "do this."
Stop telling Claude, "write code."
Stop telling Claude, "fix this error."
You're actually treating a senior AI like a junior intern.
Here are 8 prompts you can copy and paste directly:
🚨 INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.
Obsidian + Claude Code = 24/7 personal operating system.
Works while you sleep.
The people who build this tonight will never work the same way again.
Watch it and Bookmark it now.
Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins.
For Free. From the engineers who built the stack.
CANCEL Your Weekend Plans, and Learn to Build AI Agents Today.
Bookmark it. Watch it. Build your first production agent this weekend.
$5,000/month. $7,000/month. $12,000/month.
People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase.
This video fixes that tonight.
Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.
↓
Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes.
This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost.
Here's everything inside.
I break down a production AI video like this every week. Follow @codewithimanshu.
↓
The 4-part agent stack that actually scales.
Most devs are duct-taping frameworks together and calling it an "AI agent."
Ivan lays out the real stack:
Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly.
Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches.
Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together.
This is the stack replacing every hacky agent setup in production right now.
Full MCP + Claude breakdowns drop weekly on @codewithimanshu.
↓
Building your first real agent.
Ivan builds a birthday planner agent live.
LLM Agent class. Name it. Define instructions. Pick the model.
He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning.
Full agent built in minutes. Not weeks.
Watch the build once and you'll never structure an agent the wrong way again.
I post agent architectures people pay $500 courses to learn. @codewithimanshu.
↓
Multi-agent systems without the chaos.
Single agents are easy. Multi-agent systems are where 99% of builders fail.
Ivan extends the birthday planner by:
Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs
This is production multi-agent architecture. Clean. Scalable. Debuggable.
Most tutorials hand-wave this part. This one shows you every step.
Multi-agent orchestration content drops weekly on @codewithimanshu.
↓
Deployment without the DevOps nightmare.
This is where most AI projects die.
You build a cool agent locally. It works. You try to deploy it. Everything breaks.
Vertex AI Agent Engine fixes this:
Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed
You provide config and requirements. The platform handles the rest.
This is how agents actually get to production.
Deployment guides for Claude agents post every week. @codewithimanshu.
↓
Agent-to-Agent Protocol: the future nobody's talking about.
Most people don't know this exists yet.
The A2A Protocol lets agents built in different frameworks communicate seamlessly.
Your Claude agent. My LangChain agent. Someone else's CrewAI agent.
All talking to each other. All solving parts of the same problem. All without custom integration code.
This is the infrastructure layer of the coming AI economy.
Getting in early on A2A Protocol is like getting in early on HTTP in 1995.
A2A deep dive coming soon. @codewithimanshu.
↓
30 minutes from the team shipping this in production.
You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost.
People who watch this understand production AI agents at the architect level.
People who skip it keep hacking together frameworks that break every time an API updates.
Save the video. Watch it tonight. Build a real agent this weekend.
Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.
ÜCRETLİ KURSLARI ÇÖPE ATIN: "VIBE CODING" DÖNEMİ BAŞLADI
Anthropic'in 'Kodlama Ajanları' liderinden gelen bu 30 dakikalık başyapıt, size yüzlerce dolarlık eğitimlerden çok daha fazlasını öğretecek. Sadece yarım saatinizi bu videoya ayırın.
Stop bookmarking 50 guides you'll never read.
You can skip all of it with these 15 free guides:
Claude 101: https://t.co/jw2qdIcjnh
Claude Code: https://t.co/UgE9xBXVbE
Claude Skills: https://t.co/6cHYYfjXEA
Stop prompting: https://t.co/j1LATSJiat
Claude in Excel: https://t.co/mfcXYSACWR
1M followers with AI: https://t.co/jZwxZr4ZhU
Claude for your team: https://t.co/qxlcqhf8bM
No prompt saves you: https://t.co/SDKJWylftC
AI Slides (PPT in 2026): https://t.co/L0bPMgXci6
Set up Claude Cowork: https://t.co/uWTpOI3Woc
Claude to sound like you: https://t.co/99RzxXU3p0
Claude interactive charts: https://t.co/ebCHGZqOF1
Claude as your computer: https://t.co/TxYuHPjgbV
Claude Cowork + Project: https://t.co/Q7AN9CZAbO
Set up AI before prompting: https://t.co/pE3OF72A04
___
1. Save this list for later (three dots, top right).
2. Share it with a friend by ♻️ reposting this image.
3. Subscribe to my free newsletter: https://t.co/psB7XxB2Y4.
This 25-minute Claude Code workshop by Anthropic's own applied AI team will teach
you more about Claude Code best practices and making your AI tools actually work together than everything you've scrolled past this year.
Bookmark this & watch, no matter what.
Then read the guide below.
THE ANTHROPIC ENGINEER WHO WROTE "BUILDING EFFECTIVE AGENTS" EXPLAINS IT ALL IN UNDER 15 MINUTES.
More useful than months of figuring it out yourself.
Worth watching & bookmarking for the weekend.
This 16-minute talk by two Anthropic engineers who built Claude Skills will teach
you more about building them right than most developers figure out on their own in months.
Bookmark this for the weekend. Then read the builder's guide below.
Anthropic pays engineers $750,000+ a year to understand how LLMs work.
Stanford just put a 2 hour lecture that covers 80% of it for FREE.
Bookmark this. Give it 2 hours today.
It might be the highest ROI thing you do this month:
Anthropic is offering 13 AI courses & certificates.
It's free by following these 13 links:
1 - Claude 101. Learn Claude for everyday work. Core features and best practices.
↳ https://t.co/OvBmlvnnBd
2 - AI Fluency: Framework & Foundations. The foundational thinking course. Must need.
↳ https://t.co/cObZdwBP8h
3 - Introduction to Agent Skills Build, configure, and share Skills in Claude Code — reusable instructions Claude applies automatically.
↳ https://t.co/wZsD0PxbGK
4 - Building with the Claude API Full spectrum: function calling, tool use, streaming, SDKs, and production patterns.
↳ https://t.co/RcCbfNiNK1
5 - Claude Code in Action Integrate Claude Code into your dev workflow. Hands-on, practical, ship-focused.
↳ https://t.co/y29CC0G3lf
6 - Intro to Model Context Protocol Build MCP servers and clients from scratch in Python. Tools, resources, and prompts.
↳ https://t.co/Qnrn0NGZJa
7 - MCP: Advanced Topics Sampling, notifications, file system access, and transport for production MCP servers.
↳ https://t.co/0S5f4kEkK8
8 - AI Fluency for Students AI skills for learning, career planning, and academic success through responsible collaboration.
↳ https://t.co/YIOopqnA73
9 - AI Fluency for Educators For faculty and instructional designers applying AI Fluency into teaching and institutional strategy.
↳ https://t.co/54oLlYjdR5
10 - Teaching AI Fluency Teach and assess AI Fluency in instructor-led settings. Curriculum-ready.
↳ https://t.co/fHdgs6ufOe
11 - AI Fluency for Nonprofits Increase organizational impact and efficiency while staying mission-true.
↳ https://t.co/xFKngNysjO
12 - Claude with Amazon Bedrock The full AWS accreditation course, now open to everyone.
↳ https://t.co/dV6xi7TKld
13 - Claude with Google Cloud's Vertex AI Work with Claude through Google Cloud's Vertex AI, from setup to production.
↳ https://t.co/MEzAxODi6w
14 - How to master AI with words (not code) Shameless plug: it's my own (free) newsletter. Join 369,000+ weekly readers at https://t.co/psB7XxAv8w.
I made https://t.co/jw2qdIbLxJ to start mastering Claude.
And then https://t.co/uWTpOI3oyE to master Claude Cowork.
♻️ Repost this to help others access AI courses.