The latest articles on DEV Community by Daniel Humberto Reyes Rocha (@humbert_dev). https://dev.to/humbert_dev https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2103520%2F9ba43e67-b9b4-449b-a92b-3e2216d5e92b.jpeg https://dev.to/humbert_dev en Daniel Humberto Reyes Rocha Thu, 14 May 2026 05:09:37 +0000 https://dev.to/humbert_dev/generative-ui-global-hackathon-agentic-interfaces-2a59 https://dev.to/humbert_dev/generative-ui-global-hackathon-agentic-interfaces-2a59 <p>🌍 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗨𝗜 𝗚𝗹𝗼𝗯𝗮𝗹 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻 𝟮𝟬𝟮𝟲 | 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀<br> 🐺 𝗡𝗮𝗵𝘂𝗮𝗹.𝗔𝗜 — 𝗧𝗵𝗲 𝗦𝗵𝗮𝗽𝗲-𝗦𝗵𝗶𝗳𝘁𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲</p> <p>Me enorgullece compartir que competimos en el Generative UI Global Hackathon: Agentic Interfaces — un mismo desafío, más de 18 ciudades en 4 continentes el mismo día. Londres, Nueva York, Tokio, São Paulo, Ciudad de México. Organizado por AI Tinkerers con Google DeepMind, CopilotKit, LangChain, Manufact, y Daytona</p> <p>En la mitología mesoamericana, el Nahual se transforma al instante para adaptarse a su entorno. Nahual.AI aplica esa filosofía: no responde con texto estático, genera en tiempo real la interfaz exacta que la intención del usuario demanda. ✨</p> <p>⚙️ 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗶𝗱𝗼 𝗲𝗻 𝟲 𝗵𝗼𝗿𝗮𝘀</p> <p>Plataforma 𝗦𝗗𝗨𝗜 de grado producción sobre arquitectura multi-agente con AIOps, Clean Architecture y SOLID:</p> <p>🧠 Pipeline LangGraph de 5 nodos con inferencia híbrida: router local Gemma 2b via Ollama (&lt;300ms GPU) + síntesis con Gemini 2.0 Flash de Google DeepMind en JSON mode puro.</p> <p>🗄️ Memoria semántica de 4 capas: VectorRAG (Qdrant) · GraphRAG (Neo4j) · Redis para estado de pipeline · PostgreSQL + LangGraph checkpointer para memoria conversacional persistente.</p> <p>🔌 Descubrimiento dinámico de herramientas MCP via Manufact (YC S25) — cero integraciones hardcodeadas, composición multi-fuente en runtime.</p> <p>⚛️ Renderer recursivo Next.js 16 + React 19 + CopilotKit (AG-UI): AST Pydantic → interfaces interactivas reales por SSE streaming.</p> <p>📊 Observabilidad: Langfuse · Prometheus · Grafana · NVIDIA DCGM.</p> <p>16 contenedores. 4 redes Docker. Latencia E2E &lt; 2.5 segundos. 🚀</p> <p>💾 𝗟𝗼 𝗾𝘂𝗲 𝗻𝗼 𝗲𝘀𝘁𝗮𝗯𝗮 𝗲𝗻 𝗲𝗹 𝗽𝗹𝗮𝗻</p> <p>Ciudad de México. 9 de mayo. Últimos minutos del hackathon.</p> <p>Mientras subíamos el último commit, el SSD de la máquina que corrió todo esto comenzó a fallar.</p> <p>No falló antes de que el pipeline estuviera completo. No falló antes de que la demo estuviera grabada. No falló antes de que el repositorio fuera entregado.</p> <p>𝗘𝘀𝗽𝗲𝗿𝗼́. Como el Nahual que sostiene su forma hasta cumplir su propósito, el hardware aguantó exactamente lo suficiente. Luego se fue.</p> <p>𝘈𝘭𝘨𝘶𝘯𝘢𝘴 𝘤𝘰𝘴𝘢𝘴 𝘯𝘰 𝘴𝘦 𝘳𝘰𝘮𝘱𝘦𝘯 𝘩𝘢𝘴𝘵𝘢 𝘲𝘶𝘦 𝘵𝘦𝘳𝘮𝘪𝘯𝘢𝘯. 🐺</p> <p>🙌 Gracias al equipo: Alan Manuel Medina Solis — Frontend &amp; UI rendering y José A. Ramírez — Data Science &amp; knowledge layers.</p> <p>Y a los sponsors del ecosistema: AI Tinkerers · @Google DeepMind · CopilotKit · LangChain · Manufact (YC S25) · Daytona · Google </p> <p>🔗 <a href="https://github.com/Daniel-Humberto/Nahual.AI" rel="noopener noreferrer">https://github.com/Daniel-Humberto/Nahual.AI</a></p> <h1> genUIHackathon #GenerativeUI #AgenticAI #LLMOps #AIOps #LangGraph #GraphRAG #MCP #CopilotKit #GoogleDeepMind #ServerDrivenUI #MadeInMéxico </h1> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fw22y856601sr18qoct56.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fw22y856601sr18qoct56.jpg" alt=" " width="800" height="1067"></a></p> <p><a 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href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy24sklyf4pekewo0invk.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy24sklyf4pekewo0invk.jpg" alt=" " width="800" height="1067"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fofod83huhmc52dq7gz1k.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fofod83huhmc52dq7gz1k.jpg" alt=" " width="800" height="1067"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fyjzhm8m7cgpw9653joy9.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fyjzhm8m7cgpw9653joy9.jpg" alt=" " width="800" height="1067"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqjo17itbu90rgg6wx7s7.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqjo17itbu90rgg6wx7s7.jpg" alt=" " width="800" height="1067"></a></p> google hackathon copilotkit Daniel Humberto Reyes Rocha Tue, 29 Apr 2025 04:13:47 +0000 https://dev.to/humbert_dev/linealytics-j2e https://dev.to/humbert_dev/linealytics-j2e <p>Me complace compartir que mi equipo " Linealytics " fue parte de los 3 equipos finalistas del Genius Arena Hackathon 2025 de Talent Land, en el track " Production Planning: Linear Programming and automation through Python " presentado por Micron.</p> <p>Nuestro equipo diseñó y desarrolló un sistema en Python junto con el ecosistema empresarial de Microsoft, que mediante Machine Learning en especifico algoritmos de XGBoost y Bootstrapping para anticipar la demanda futura, y Programación Lineal para optimizar de forma dinámica y automatizada el balance óptimo entre producción y demanda.</p> <p>Además creamos Dashboards en Power BI para visualizar los resultados, y automatizamos la generación y el envío de reportes y alertas con Power Automate, y desplegamos todo en Azure para garantizar escalabilidad y fiabilidad.</p> <p>Estoy profundamente agradecido de participar por primera vez en un Hackathon, junto con mis amigos. Todos ustedes hicieron que esta experiencia fuera inolvidable.</p> <p>¡Gracias a Micron y Talent Land por esta oportunidad</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqdks0m3kkcngzg4brdiv.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqdks0m3kkcngzg4brdiv.jpg" alt=" " width="800" height="600"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fuftu0laukxxlw9abwot3.jpg" class="article-body-image-wrapper"><img 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src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F80hqztvu4o17h5rdo3s6.jpg" alt=" " width="800" height="600"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fovc6j6g0l16vtyd2nmwu.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fovc6j6g0l16vtyd2nmwu.jpg" alt=" " width="800" height="600"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fxr2ogysam37el7i0b3tn.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fxr2ogysam37el7i0b3tn.jpg" alt=" " width="800" height="600"></a></p> Daniel Humberto Reyes Rocha Fri, 20 Sep 2024 18:26:03 +0000 https://dev.to/humbert_dev/data-analysis-dashboard-51no https://dev.to/humbert_dev/data-analysis-dashboard-51no <p>Dashboard "Home" para Data Analysis y Data Science, diseñado para un sitio web con funcionalidad CRUD."</p> <p><iframe height="600" src="https://codepen.io/Daniel-Humberto/embed/yLmBOxJ?height=600&amp;default-tab=result&amp;embed-version=2"> </iframe> </p> codepen