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Flujo de Ejecución del Agente OpenClaw
Analicemos el pipeline de ejecución de agentes de OpenClaw, cubriendo todo desde la deduplicación de mensajes de canal hasta las estrategias automáticas de failover. Perfecto para desarrolladores que construyen sistemas de agentes de IA o contribuyen a OpenClaw. OpenClaw parece engañosamente simple desde fuera: un agente conectado a un canal de comunicación que simplemente ejecuta código. Pero bajo el capó, está impulsado por Pi Monorepo, un agente de programación deliberadamente minimalista construido en torno a una única idea, casi herética: que los LLM ya son buenos escribiendo y ejecutando software, por lo que el sistema debería apartarse de su camino y permitirles hacer exactamente eso. Con un núcleo diminuto, un…
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Claude Code Crash Course
A comprehensive, production-grade tutorial for mastering Claude Code in backend development with TypeScript + Express + GraphQL. Based on real-world best practices. Table of Contents Models are good enough now If your output is garbage, your input was garbage. Invest in planning. Introduction Claude Code is Anthropic’s agentic coding tool that lives in your terminal. Unlike traditional chatbots, Claude Code can read files, execute commands, make changes, and work autonomously on problems. This tutorial focuses on maximizing your effectiveness as a backend developer building production systems. Target Audience: Senior backend developers familiar with: Key Insight: Models have become extraordinarily capable. If you’re producing «AI garbage,» it’s because your inputs were…
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Filesystem Parallelism for AI Agents
Git worktrees are evolving from a niche feature into an essential primitive for agent-assisted development. They provide filesystem-level parallelism, allowing agentic coding tools to operate concurrently on separate branches, builds, or refactors without sharing a mutable working directory. Why Worktrees Matter Now Modern AI Coding Assistants are becoming increasingly autonomous. They don’t just suggest completions; they execute multi-step plans, run terminal commands, modify multiple files, and orchestrate entire workflows. This autonomy creates a new problem: mutable state collision. When you have multiple AI agents (or one agent handling multiple tasks), they all want to: Without isolation, these operations interfere with each other and with your own work. Git worktrees solve…
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Educación: del discurso al costo por alumno
Prometer «8 % del PIB para educación» suena responsable, técnico y moralmente incuestionable. ¿Quién podría oponerse a invertir más en educación? Sin embargo, cuando se contrasta esa consigna con los datos reales, tanto fiscales como educativos, surge una pregunta inevitable: ¿Estamos discutiendo seriamente cómo mejorar la educación, o simplemente repitiendo una cifra políticamente atractiva? El primer problema es conceptual. El PIB no es una caja de dinero. Es una medida estadística del valor agregado de la economía. El Estado no gasta «PIB»; gasta recaudación efectiva, endeudamiento o inflación. En Costa Rica, la recaudación total del gobierno ronda aproximadamente el 25% del PIB. En ese contexto, destinar 8% del PIB a…
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Arquitectura de contexto en archivos
Este «paper» plantea que el contexto de la IA debe gestionarse como un sistema de archivos. La Filosofía Unix Aplicada a los Agentes de IA Todo: memorias, herramientas, fuentes externas y notas humanas, se organiza como archivos en un espacio común, con un repositorio persistente que separa historial, memoria a largo plazo y scratchpads temporales. Así, el modelo solo carga el contexto necesario en cada llamada, registra cada cambio con trazabilidad y usa componentes para reducir, actualizar y evaluar el contexto. Esto se implementa en AIGNE, que unifica prompts dispersos en una capa de contexto reutilizable. Todo es Contexto: ¿Y si tratáramos el contexto de la IA de la misma…
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El precio real: libertad
La historia de la humanidad no es una marcha del progreso material, sino una sucesión de conflictos por «poder sobre personas«. La guerra no es un accidente: es el resultado natural del Estado cuando expande su dominio. Y el verdadero costo de la guerra no se mide en infraestructura destruida, sino en «libertad perdida«. En ese marco, los gestos simbólicos no son poesía: son estrategia. Reconocimientos, transferir el premio nobel de la paz y respaldos internacionales funcionan como capital político. La lectura es simple Anclar una causa a centros reales de poder para controlar el costo de la represión. No se trata de santificar a nadie, sino de enviar un…
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El bienestar también llegó en lancha
Vivir bien no es sentirse bien. En la vida se sufre, se pierde y se lucha. Personalmente creo que se puede vivir bien con tres hacks simples: haciendo ejercicio, comiendo alimentos reales y leyendo los clásicos. Estas tres cosas no te van a meter las manos en los bolsillos y tampoco te van tocar las bolas. Crónica desde la selva húmeda, donde todo se sana… si pagás en efectivo. Yo vine a ver el mar, pero terminé viendo a un alemán defecado, llorando y abrazando a una ceiba porque una «bruja» en una sanación de Ayahuasca le aseguró que acababa de liberar un trauma transgeneracional (tus ancestros te protegen). Selva,…
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Agentes Autónomos con Planificación
Por qué la planificación importa En el mundo de la IA ya hemos superado la etapa de los LLMs como simples generadores de texto. Hoy los Agentes de IA deben razonar, actuar y coordinarse en tareas y herramientas reales. Pero lo que suele definir si un agente tiene éxito o colapsa en alucinaciones no es el tamaño del modelo, sino la calidad de su capa de planificación. La planificación es el puente entre el razonamiento y la ejecución. Sin ella, los agentes son chatbots verbosos. Con ella, se convierten en colaboradores autónomos. Fundamentos de la planificación En esencia, planificar significa seguir un ciclo: 📌 En la práctica: la planificación no…
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Prompting Guide for Developers
As a senior Python developer working with GPT 4.1, I’ve shifted from «talking to an LLM» to engineering smart behaviors. Prompting has become a powerful tool — not just for asking questions, but for crafting complex workflows, guiding reasoning, and orchestrating tools: Here’s my distilled guide to getting the most from GPT, built from OpenAI’s recommendations and my own field practice. 🎯 Start With Intent When writing prompts, clarity equals control. I always begin with a clear intent: These sections steer the model like a well-defined function signature. 🔄 Agentic Reminders I embed three key reminders in system prompts: These lines drastically improved the model’s autonomy and lowered hallucination risk…
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Agents that get things done
Building effective agents requires more than code—it’s about orchestration and resilience. From crafting precise instructions and selecting the right tool types (data, action, or orchestration) to choosing the proper design pattern (single-agent loop or multi-agent delegation), thoughtful architecture ensures agents perform well in production. Guardrails act as layered defenses against edge cases, prompt attacks, or unsafe tool use—while fallback mechanisms like human-in-the-loop ensure oversight for high-risk or ambiguous scenarios. As you scale from prototype to production, a phased deployment strategy helps teams validate with real users, coordinate tool usage, and automate workflows with confidence. Agents aren’t just automating—they’re reasoning, adapting, and delivering real-world value. OpenAI – A Practical Guide to…
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Generate Consistent Images
Thanks to the GPT upgrade, we now have access to native image generation with way more consistency—and that’s huge when you’re building out a visual character like a recurring AI agent in meme form. This post walks you through how I’ve been building a consistent character I call Robot Meme, which mimics the agentic work of an AI agent. This character becomes the template for meme creation, storytelling, and satirical AI-themed content. 🧭 Why I Built Robot Meme In meme creation—especially for dev culture, AI agent behavior, or software satire—visual consistency boosts both narrative and recognizability. Using the same AI-looking character across different situations makes the jokes land harder and…
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Helpful AI GPT Agents for automation
Today, I will be exploring the different aspects of the Auto-GPT project, a Python and LangChain based software that leverages the capabilities of GPT for automation. This analysis covers a detailed code review, the creation of Gherkin Syntax Features and Scenario Outlines, and the visualization of the code flow through Sequence Diagrams… and all of these tasks were executed autonomously by an Auto-GPT agent. Section 1: Code Review Structure and Logic Analysis The first step in this journey was to watch Auto-GPT conducting a comprehensive code review of the fastapi_jwt_auth_refresh.py file. Auto-GPT found a well-structured code, adhering to the principles of the FastAPI framework. Potential Improvements AI generated by Auto-GPT…
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Business Venture
In the grand tapestry of startup entrepreneurship, one finds themselves at a junction of various pathways, intricately woven with threads of curiosity, resilience, and pragmatism. I find myself contemplating the essence of startups and entrepreneurship through a lens that spans a spectrum of experiences and realizations, much like the captivating stories and lessons I’ve encountered in my journey with Y Combinator. Let us venture into this exploration in two substantial parts: discerning the kind of individuals who are cut for the startup world, and preparing oneself for the roller-coaster ride that is entrepreneurship. Identifying the Potential Startup Founder In my earnest endeavor as a group partner at YC, I’ve engaged…
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MPV – Venture’s Infancy
Let’s embark on a journey to decode the mystique surrounding the development of a Minimum Viable Product (MVP). In the grand scheme of entrepreneurship, the MVP serves as a cornerstone, a first step into the vast ocean of opportunities and challenges that await. Let’s dissect this fascinating process, where we learn not to be merely ‘smart’ but to be truly wise in navigating our venture’s infancy. Understanding the MVP Spectrum Drawing parallels with the midwit meme, we delve into the psyche of different kinds of founders – the Jedi, the novice, and the one caught in between, emphasizing the importance of launching promptly and learning from real user experiences. The…
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Insights to guide aspiring solopreneurs
Fall in love with the problem, not the solution. In this blog post, we venture into the vibrant world of startups with Jared, a seasoned partner at Y Combinator (YC). Jared shares his rich experience and insights to guide aspiring entrepreneurs on how to cultivate promising startup ideas. He unveils common pitfalls, evaluative criteria, and strategies for nurturing groundbreaking ventures, steering us towards a journey of innovation and success in the startup ecosystem. Overview Target Audience: Individuals seeking inspiration for startup ideas or evaluating existing ones. Objective: To steer the audience towards methods and strategies with a higher success rate in the startup realm. Structure: The discussion unfolds in three…
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Auto-GPT Architecture
Today, I am happy to introduce you to the transformative potential of AI, specifically the capabilities of Auto-GPT, in revolutionizing the way we: conceive experiments and projects, and the way we develop, track and test our ideas. SYSTEM_PROMPT Your task is to devise up to 5 highly effective goals and an appropriate role-based name (_GPT) for an autonomous agent, ensuring that the goals are optimally aligned with the successful completion of its assigned task. The user will provide the task, you will provide only the output in the exact format specified below with no explanation or conversation. Example input Help me with marketing my business Example output Name: CMOGPT Description:…
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Mind Maps for LangChain Framework Fans
Alright, let’s simplify this. Imagine you’ve got a super-smart buddy named LangChain. This buddy isn’t just brainy from reading tons of books, but also knows how to connect different bits of information and interact with the surroundings. LangChain is like a toolkit for crafting smart projects using words and sentences. Think of it like LEGO blocks. Each block, or component, is a piece you can use to build something. And the best part? LangChain already provides a bunch of these blocks for you to play with! Now, sometimes starting from scratch can be a drag. Maybe you want a head start on building, say, a LEGO castle or a spaceship.…
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Tell me how to optimize your response
As a seasoned Prompt Engineer, please generate a set of prompts fitting within the context of a Senior Python Developer adhered to strong PEP Standards. Please derive these 3 possible prompts from the following content or potential suggestions: {content}
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Supercharge Your Wisdom
Okay, folks, here’s the deal. This project is showing us how we can team up OpenAI with our knowledge base or other documents. And the cool part? We can do these fancy ‘semantic searches’ and even whip up prompts that we can tweak the generation of the LLM response just the way we like. This project contains a Streamlit Chat interface and a Luigi ETL Pipeline that processes and stores documents into a Weaviate Vectorstore instance. Github Repository The ETL pipeline performs several tasks: converting Jupyter notebooks and Python scripts to Markdown format, cleaning the code blocks in the Markdown files, removing unnecessary files and directories, and uploading the processed…
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Dialogue with your Documents for Data-Driven Decision Making
When I started developing this application, my goal was to build an interactive and intelligent document reader. I wanted users to upload a document, ask a question about it, and have an AI generate responses based on the document’s content. So, here’s how I put everything together: github.com/josoroma/data-driven-decision-making OpenAI and Pinecone First, I created a user-friendly sidebar for users to input their API keys and environment variables. This is the first interaction point between the user and the application. The application relies on OpenAI and Pinecone for retrieving information and generating responses, hence the necessity of API keys. If you do not have a .env file with the necessary environment…
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Hybrid Search is Enriching the Context of Search Queries
In an attempt to master the search experience, hybrid search integrates various algorithms, allowing a fusion of keyword-based search strategies and vector search methods. Weaviate Hybrid Search — 🦜🔗 LangChain Such cutting-edge tech is being implemented by Weaviate, a company that employs sparse and dense vectors to enrich the context of search queries and documents. Hybrid search brings together the advantages of multiple search paradigms. It harnesses the power of distinct algorithms such as BM25 and SPLADE, used to compute sparse vectors, and machine learning models like GloVe and Transformers, utilized for dense embeddings. A particular example of the hybrid search approach is seen in Weaviate, predominantly relying on: BM25/BM25F…
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Evite el ruido y preserve el contexto
Esencialmente, se trata de desglosar contenido de texto grande en partes manejables para optimizar la relevancia del contenido que obtenemos de una base de datos vectorial utilizando LLM. Esto me recuerda a la búsqueda semántica. En este contexto, indexamos documentos llenos de información específica del tema. Si nuestra segmentación se hace correctamente, los resultados de la búsqueda se alinean bien con lo que el usuario está buscando. Pero si nuestros segmentos son demasiado pequeños o demasiado gigantes, podríamos pasar por alto contenido importante o devolver resultados menos precisos. Por lo tanto, es crucial encontrar ese punto dulce para el tamaño del segmento para asegurarnos de que los resultados de la…
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Avoid noise and preserve context
Essentially, it’s about breaking down large text content into manageable parts to optimize the relevance of the content we retrieve from a vector database using LLM. This reminds me of semantic search. In this context, we index documents filled with topic-specific information. If our chunking is done just right, the search results align nicely with what the user is looking for. But if our chunks are too tiny or too gigantic, we might overlook important content or return less precise results. Hence, it’s crucial to find that sweet spot for chunk size to make sure search results are spot-on. OpenAIEmbeddings The OpenAIEmbeddings class is a wrapper around OpenAI’s API for…
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Rockeando el Mundo de la IA con Modelos de Lenguaje Avanzados
En nuestro mundo siempre en evolución de la tecnología, es esencial apreciar el notable progreso del Procesamiento de Lenguaje Natural (NLP). Regresando un poco en el tiempo, cada tarea de NLP necesitaba un modelo distinto, un proceso tedioso y que consumía mucho tiempo. Esto cambió con la introducción de los Transformers y el concepto de aprendizaje de transferencia en NLP. LLMs Generalistas Grandes corporaciones como Google encabezaron esta transformación al invertir pesadamente en la formación de modelos transformadores. Estos modelos funcionan como «generalistas«, con una sólida comprensión del lenguaje, lo que les permite realizar diversas tareas. Hoy en día, este avance ha evolucionado hacia el uso de modelos de lenguaje…
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Rocking the AI World with Advanced Language Models
In our ever-evolving world of technology, it’s essential to appreciate the remarkable progress of Natural Language Processing (NLP). Rewinding back a little, each NLP task necessitated a distinct model, a tedious and time-consuming process. This changed with the introduction of Transformers and the concept of transfer learning in NLP. Generalist LLMs Large corporations like Google spearheaded this transformation by investing heavily in training transform models. These models serve as «generalists» with a robust understanding of language, allowing them to perform diverse tasks. Today, this advancement has morphed into the use of large language models (LLMs) capable of tasks like classification or question answering. It’s astounding to realize that the technology…
