Dos ingenieros de Anthropic se tomaron 24 minutos para explicar, de forma muy práctica y paso a paso, técnicas avanzadas de Claude que la mayoría de la gente no está usando.
Muestran cómo construir prompts mucho más efectivos para tareas complejas, usando un ejemplo real.
Todo gratis y en un solo video.
La mayoría va a pasar de largo, te recomiendo guardarlo.
A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems.
The shift: you stop prompting the agent. You build the system that prompts it instead.
Schedule → Discover → Build → Verify → Repeat
Every loop runs one turn, five moves:
• Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list.
• Handoff: each task gets an isolated git worktree so parallel agents don't collide.
• Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no."
• Persistence: results get written to disk, never left in a context window that gets flushed.
• Scheduling: an automation wakes it on a timer. That's what makes it a loop.
The key insight: an agent grading its own work always praises it.
This 11-page PDF changed how I'm building agentic systems today.
Read it now, then explore the article below.
A equipa da Anthropic acabou de mostrar como utilizar corretamente o Claude Code.
30 minutos. Gratuito. Apresentado pelo criador do Claude Code.
Assiste ao workshop. Adiciona aos favoritos 🔖
Vale mais do que todos os cursos de 500 $ que quase compraste.
Become a Claude Certified Architect
Here is the complete resource list in one place:
Link to join: https://t.co/OXQyTmfCmb
Training courses: https://t.co/UaJzLeXKrP (13 free courses)
Cookbook: https://t.co/SLnSUT7xT1
Exam Guide: https://t.co/A2pbDcyGwa
Practice questions: https://t.co/90eXwUxiXQ (free)
MCP documentation: https://t.co/SbwZI0fjVz (free)
API documentation: https://t.co/9rmnLWypxc (free)
Partner Network: https://t.co/diT5OE6ePJ (free to join)
Personal Playbook someone created after the exam: https://t.co/qhXan3XVri
Episode 1: Introduction to Generative AI and LLMs
– Carlotta Castelluccio introduces Generative AI and large language models, explaining their inner workings and how they are revolutionizing industries (with a focus on education)
https://t.co/DZB6XbOcVa
There is a new Llama-3.2 3B model by @AIatMeta. But can it handle Reflection? 😅
Thanks to @LMStudioAI, I quickly launched an OpenAI endpoint for the Llama-3.2 3B q8_0 model to test the "Reflection with Multi-Step Reasoning" and "Self-Harmonized Chain of Thought" approaches.🔥
Python script for automatic decompilation and analysis of binary files with ChatGPT and Ghidra is out now ! (IDA & Binja support soon)
Find it: https://t.co/uHyH7Krdn1
or simply run: pip download Sekiryu
Demo =>