The Curious Engineer

All blogs / AI / ML

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vincirufus.com

AI / MLEngineering management / careers

’23’24’25’26
Posts
239 from 25 Jun 2023 to 1 Nov 2026
Posting
weekly (77 in the last year)
Kind
personal blog

2026 64

  1. 项目 | Vinci Rufus
  2. Proyectos | Vinci Rufus
  3. Vinci Rufus | AI Agents, Agentic AI & Compound Engineering
  4. The Decision Plane: Why Jev Changes Enterprise Agent Architecture | Vinci Rufus
  5. Sep 20, 2026 The Decision Plane: Why Jev Changes Enterprise Agent Architecture Most enterprise agent traffic is decisions, not prose — yet every branch is produced by an autoregressive model. Here is what changes when the decision layer comes out of the LLM and back into code, and the cascade archit
  6. Vinci Rufus | AI智能体、智能体AI与复合工程
  7. 文章 | Vinci Rufus
  8. Vinci Rufus | Agentes IA, IA Agencial e Ingeniería Compuesta
  9. Artículos | Vinci Rufus
  10. El plano de decisión: por qué Jev cambia la arquitectura de los agentes empresariales | Vinci Rufus
  11. Jev: The Frontier Model That Refuses to Write | Vinci Rufus
  12. Jev: el modelo frontera que se niega a escribir | Vinci Rufus
  13. Sep 18, 2026 Jev: The Frontier Model That Refuses to Write Jev is a frontier model that never generates text. It scores the options you supply in a single parallel pass — 8.5 seconds of LLM output replaced by 0.1 seconds of arithmetic. Here's the trade, and why it matters for the cost architecture o
  14. Sep 18, 2026 Cloud Agents Will Become the De Facto Way We Build Software Cloud agents like Claude's managed agents and Devin are moving AI coding from your laptop into hosted environments that run 24/7. Here is why cloud-hosted agents will become the default way software gets built—and why verifying
  15. Cloud Agents Will Become the De Facto Way We Build Software | Vinci Rufus
  16. Jun 16, 2026 AI Software Factories - The Industrialisation of Software We are entering the industrial age of software engineering. Agent factories in the cloud will write 60-90% of code, fundamentally reshaping the SDLC and the role of human engineers.
  17. AI Software Factories - The Industrialisation of Software | Vinci Rufus
  18. May 28, 2026 Dense vs MoE - Choosing Between Dense Models and Mixture of Experts Dense vs MoE explained: how dense and Mixture of Experts models differ in compute, memory, latency and cost, and a practical rule for when to run each, including on local hardware.
  19. Modelos Dense vs. Mixture of Experts — La Decisión Arquitectónica Que Define la Economía de Inferencia | Vinci Rufus
  20. Dense vs MoE - Choosing Between Dense Models and Mixture of Experts | Vinci Rufus
  21. The CAIO's First 90 Days: AI Governance Frameworks That Actually Stick | Vinci Rufus
  22. How to Present an AI Strategy to Your Board (Without Losing Them in 5 Minutes) | Vinci Rufus
  23. Los Primeros 90 Días del CAIO: Marcos de Gobierno de IA que Realmente Funcionan | Vinci Rufus
  24. Cómo Presentar una Estrategia de IA a tu Junta Directiva (Sin Perderlos en 5 Minutos) | Vinci Rufus
  25. May 16, 2026 The CAIO's First 90 Days: AI Governance Frameworks That Actually Stick A practical guide for newly appointed Chief AI Officers on the essential AI governance frameworks to establish within the first 90 days, covering NIST AI RMF, ISO/IEC 42001, and minimum viable governance structures.
  26. How to Present an AI Strategy to Your Board (Without Losing Them in 5 Minutes)
  27. Agentic Engineering Patterns- The Foundation of AI-Native Development
  28. Agentic Engineering Patterns- The Foundation of AI-Native Development | Vinci Rufus
  29. C-Suite Leaders Must Embrace Rapid Experimentation in the AI Era
  30. C-Suite Leaders Must Embrace Rapid Experimentation in the AI Era | Vinci Rufus
  31. Compound Engineering v3 and the Rise of Agentic Software Delivery | Vinci Rufus
  32. Compound Engineering v3 and the Rise of Agentic Software Delivery
  33. What Is Agentic AI - The Complete Guide to Autonomous AI Agents
  34. What Is Agentic AI - The Complete Guide to Autonomous AI Agents | Vinci Rufus
  35. IA Agente - De Chatbots a Trabajadores Digitales Autónomos | Vinci Rufus
  36. 智能体AI - 从聊天机器人到自主数字工作者 | Vinci Rufus
  37. AI Engineering - The Discipline of Building Production AI Systems | Vinci Rufus
  38. Ingeniería de IA - La Disciplina de Construir Sistemas de IA de Producción | Vinci Rufus
  39. AI工程 - 构建生产级AI系统的学科 | Vinci Rufus
  40. AI Engineering - The Discipline of Building Production AI Systems
  41. What Is Agentic Engineering - The Complete Guide to AI-First Software Development
  42. What Is Agentic Engineering - The Complete Guide to AI-First Software Development | Vinci Rufus
  43. The AI Reality Check - What the Latest Labor Market Data Means for Your Career | Vinci Rufus
  44. La Evaluación de Realidad de la IA - Lo que los Últimos Datos del Mercado Laboral Significan para tu Carrera | Vinci Rufus
  45. AI现实检验——最新劳动力市场数据对你的职业生涯意味着什么 | Vinci Rufus
  46. The AI Reality Check - What the Latest Labor Market Data Means for Your Career
  47. Antfarm Patterns - Orchestrating Specialized Agent Teams for Compound Engineering
  48. Antfarm Patterns - Orchestrating Specialized Agent Teams for Compound Engineering | Vinci Rufus
  49. Patrones Antfarm: Orquestando Equipos de Agentes Especializados para Ingeniería Compuesta | Vinci Rufus
  50. Antfarm 模式：编排专业化智能体团队实现复合工程 | Vinci Rufus
  51. Context Engineering is just the Art of Delegation
  52. Context Engineering is just the Art of Delegation | Vinci Rufus
  53. La Ingeniería de Contexto es simplemente el Arte de la Delegación | Vinci Rufus
  54. Compound Engineering vs Traditional Software Engineering - Why Linear Teams Can't Keep Up
  55. Compound Engineering vs Traditional Software Engineering - Why Linear Teams Can't Keep Up | Vinci Rufus
  56. Ingeniería Compuesta vs Ingeniería de Software Tradicional：Por Qué los Equipos Lineales No Pueden Mantener el Ritmo | Vinci Rufus
  57. How the Ralph Loop Plays a Key Role in Compound Engineering
  58. How the Ralph Loop Plays a Key Role in Compound Engineering | Vinci Rufus
  59. El Rol Clave del Bucle Ralph en la Ingeniería Compuesta | Vinci Rufus
  60. Compound Engineering - What It Means and How to Start with AI Agents
  61. Compound Engineering - What It Means and How to Start with AI Agents | Vinci Rufus
  62. Ingeniería Compuesta - Qué Significa y Cómo Empezar con Agentes de IA | Vinci Rufus
  63. Claude Code December 2025 - January 2026
  64. Claude Code December 2025 - January 2026 | Vinci Rufus

2025 74

  1. Ambient Agents - The Future of Always-On AI Assistance | Vinci Rufus
  2. Agentes Ambientales - El Futuro de la Asistencia IA Siempre Activa | Vinci Rufus
  3. 环境代理——始终在线的AI辅助未来 | Vinci Rufus
  4. Workflows | Vinci Rufus
  5. Flujos de Trabajo | Vinci Rufus
  6. What Is an Agent Loop? How AI Agents Reason, Act and Observe | Vinci Rufus
  7. El Bucle del Agente | Vinci Rufus
  8. 智能体循环 | Vinci Rufus
  9. The Chasm between Building an AI Agent and a Reliable One | Vinci Rufus
  10. El Abismo de Confiabilidad en Agentes de IA | Vinci Rufus
  11. Is ChatGPT an LLM? Not Exactly - It's an Agent Built on One | Vinci Rufus
  12. ChatGPT no es un LLM - GPT sí lo es | Vinci Rufus
  13. Agentic RAG and Context Engineering for AI Agents | Vinci Rufus
  14. RAG Agéntica e Ingeniería de Contexto para Agentes | Vinci Rufus
  15. 智能体RAG与智能体上下文工程 | Vinci Rufus
  16. Memory-Based Agent Learning - The Path to Truly Autonomous AI | Vinci Rufus
  17. Aprendizaje de Agentes Basado en Memoria - El Camino hacia IA Verdaderamente Autónoma | Vinci Rufus
  18. AGI is an Engineering Problem | Vinci Rufus
  19. AGI es un Problema de Ingeniería | Vinci Rufus
  20. AGI 是一个工程问题 | Vinci Rufus
  21. What is Context Engineering? (The Evolution Beyond Prompt Engineering) | Vinci Rufus
  22. Ingeniería de Contexto: La Evolución Más Allá de la Ingeniería de Prompts | Vinci Rufus
  23. The Zero-Click Apocalypse - How AI Search is Killing Content Marketing's Golden Goose | Vinci Rufus
  24. El Apocalipsis de Cero Clics - Cómo la Búsqueda con IA Está Matando la Gallina de los Huevos de Oro del Marketing de Contenidos | Vinci Rufus
  25. Software 3.0 - Programming in the Age of AI | Vinci Rufus
  26. Software 3.0 - Programación en la Era de la IA | Vinci Rufus
  27. From Vibe Coding to Agentic Engineering- The Mindset Shift for AI Development | Vinci Rufus
  28. Del Vibe Coding a la Ingeniería Agéntica | Vinci Rufus
  29. Building Multi-Agent Research Systems - Lessons from Anthropic's Architecture | Vinci Rufus
  30. Construyendo Sistemas de Investigación Multi-Agente | Vinci Rufus
  31. Claude Prompt Engineering Best Practices - What Works with Claude 4 | Vinci Rufus
  32. Mejores Prácticas de Prompt Engineering para Claude 4 | Vinci Rufus
  33. Emerging User Interaction Patterns in Agentic Applications | Vinci Rufus
  34. Patrones Emergentes de Interacción del Usuario en Aplicaciones Agénticas | Vinci Rufus
  35. Generating an llms.txt file for your Astro Website | Vinci Rufus
  36. Generando un archivo llms.txt para tu Sitio Astro | Vinci Rufus
  37. Prompt Engineering- The Critical Skill for Building Reliable Agentic Workflows | Vinci Rufus
  38. Ingeniería de Prompts—La Habilidad Crítica para Construir Flujos de Trabajo Agénticos Confiables | Vinci Rufus
  39. Agent != Conversational | Vinci Rufus
  40. Agente ≠ Conversacional | Vinci Rufus
  41. 智能体 ≠ 对话式 | Vinci Rufus
  42. Interesting Finds of the Week - Claude Code, OWL, Agentic Systems, and MCP Servers | Vinci Rufus
  43. Hallazgos Interesantes de la Semana - Claude Code, OWL, Sistemas Agénticos y Servidores MCP | Vinci Rufus
  44. What is MCP (Model Context Protocol)? The Foundation for Agentic AI | Vinci Rufus
  45. Model Context Protocol - La Fundación para una IA Realmente Agéntica | Vinci Rufus
  46. MCP- The Emerging Standard for Agent and B2A SaaS Communication | Vinci Rufus
  47. MCP - El Estándar Emergente para Comunicación de Agentes y B2A SaaS | Vinci Rufus
  48. AI Is Just the Next Evolution of the Computer | Vinci Rufus
  49. La IA es Solo la Siguiente Evolución de la Computadora | Vinci Rufus
  50. AI只是计算机的下一次演变 | Vinci Rufus
  51. The Hidden Cost of Horizontal SaaS - Why Your Disconnected Tools Are Holding You Back | Vinci Rufus
  52. El Costo Oculto del SaaS Horizontal - Por Qué Tus Herramientas Desconectadas Te Están Frenando | Vinci Rufus
  53. AI Adoption Trends - What's Actually Working in Production | Vinci Rufus
  54. Tendencias de Adopción de IA - Qué Está Funcionando Realmente en Producción | Vinci Rufus
  55. AI采用趋势——什么在生产环境中真正有效 | Vinci Rufus
  56. Thinking in Agents- The Future of Software Design | Vinci Rufus
  57. Pensando en Agentes- El Futuro del Diseño de Software | Vinci Rufus
  58. Voice Agents - The Natural Evolution of Human-AI Interaction | Vinci Rufus
  59. Agentes de Voz: La Evolución Natural de la Interacción Humano-IA | Vinci Rufus
  60. AI Career Tools - Leveraging AI for Professional Advancement | Vinci Rufus
  61. Herramientas de Carrera con IA - Aprovechando la IA para el Avance Profesional | Vinci Rufus
  62. AI职业工具——利用AI实现职业发展 | Vinci Rufus
  63. The Rise of B2A SaaS - When AI Agents Become Your Customer | Vinci Rufus
  64. El Ascenso de B2A SaaS - Cuando los Agentes de IA Son Tu Cliente | Vinci Rufus
  65. Move 37 and Agents | Vinci Rufus
  66. La Jugada 37 y los Agentes | Vinci Rufus
  67. DeepSeek R1 - Rewriting the Rules of AI Training | Vinci Rufus
  68. DeepSeek R1: Reescriendo las Reglas del Entrenamiento de IA | Vinci Rufus
  69. Future Work Skills - What You Need to Thrive in the AI Era | Vinci Rufus
  70. Habilidades del Trabajo Futuro - Qué Necesitas para Prosperar en la Era de la IA | Vinci Rufus
  71. The One Person Scrum Team | Vinci Rufus
  72. El Equipo Scrum de Una Persona | Vinci Rufus
  73. The Evolution of AI Agent Interfaces - From Chat to Ambient Intelligence | Vinci Rufus
  74. La Evolución de las Interfaces de Agentes de IA - Del Chat a la Inteligencia Ambiental | Vinci Rufus

2024 30

  1. Sequence to Sequence Learning - A Decade of Neural Networks | Vinci Rufus
  2. Aprendizaje de Secuencia a Secuencia - Una Década de Redes Neuronales | Vinci Rufus
  3. The Dawn of Agentic AI - Revolutionizing Software Development Economics | Vinci Rufus
  4. El Amanecer de la IA Agéntica - Revolucionando la Economía del Desarrollo de Software | Vinci Rufus
  5. 智能体AI的黎明——变革软件开发经济 | Vinci Rufus
  6. Byte Latent Transformer (BLT), Breaking the Tokenization Bottleneck in Large Language Models | Vinci Rufus
  7. Byte Latent Transformer (BLT), Rompiendo el Cuello de Botella de Tokenización en Modelos de Lenguaje Grandes | Vinci Rufus
  8. Chain of Thought Reasoning in Large Language Models | Vinci Rufus
  9. Razonamiento de Cadena de Pensamiento en Modelos de Lenguaje Grandes | Vinci Rufus
  10. Autonomous vs Controlled AI Agents- Which Architecture Should You Choose? | Vinci Rufus
  11. Agentes Autónomos vs Agentes Controlados | Vinci Rufus
  12. Emerging Job Titles in the AI Era | Vinci Rufus
  13. Títulos de Trabajo Emergentes en la Era de la IA | Vinci Rufus
  14. The Route to Artificial General Intelligence | Vinci Rufus
  15. La Ruta hacia la Inteligencia Artificial General | Vinci Rufus
  16. Switching to UV Package Manager | Vinci Rufus
  17. Cambiando al Gestor de Paquetes UV | Vinci Rufus
  18. Generative AI Strategy - How to Plan and Implement It in Your Organization | Vinci Rufus
  19. Estrategias Efectivas para la Implementación de IA Generativa | Vinci Rufus
  20. The Next Wave of Software Development | Vinci Rufus
  21. La Próxima Ola de Desarrollo de Software | Vinci Rufus
  22. Single Agent vs Multi-Agent - Which AI Architecture Do You Need? | Vinci Rufus
  23. Agente Único vs Sistemas de IA Multi-Agente | Vinci Rufus
  24. Deterministic vs Probabilistic - What the Difference Means for AI Applications | Vinci Rufus
  25. LLM Optimization - Techniques for Faster, Cheaper Models, and What LLMO Means | Vinci Rufus
  26. Optimización de Modelos de Lenguaje Grandes | Vinci Rufus
  27. Building Trust in AI - The Critical Role of Evaluation Systems | Vinci Rufus
  28. Construyendo Confianza en IA - El Rol Crítico de los Sistemas de Evaluación | Vinci Rufus
  29. From SEO to Search AI Optimization | Vinci Rufus
  30. De SEO a Optimización de Búsqueda con IA (SAO) | Vinci Rufus

2023 16

  1. How to Get Started with Generative AI - The Complete 2026 Guide | Vinci Rufus
  2. Comenzando con IA Generativa | Vinci Rufus
  3. Deep Dive into Recurrent Neural Networks | Vinci Rufus
  4. Profundización en Redes Neuronales Recurrentes | Vinci Rufus
  5. Generative AI Glossary - What is an LLM and Key AI Terms Explained | Vinci Rufus
  6. Glosario de Términos de IA Generativa | Vinci Rufus
  7. Service as a Software | Vinci Rufus
  8. Servicio como Software | Vinci Rufus
  9. Building an Innovation Culture | Vinci Rufus
  10. Construyendo una Cultura de Innovación | Vinci Rufus
  11. Generative AI-Automating vs Accelerating | Vinci Rufus
  12. IA Generativa—Automatización vs Aceleración | Vinci Rufus
  13. 生成式AI——自动化与加速 | Vinci Rufus
  14. Architecture Decision Records (ADRs) | Vinci Rufus
  15. Registros de Decisiones de Arquitectura (ADRs) | Vinci Rufus
  16. 架构决策记录 (ADRs) | Vinci Rufus

Undated 55

  1. Redirecting to: /es/posts/deterministic-vs-probabilistic/
  2. Autonomous vs controlled agents
  3. B2a saas emergence
  4. Building multi agent research systems
  5. Caio ai governance first 90 days
  6. Chain of thought reasoning
  7. Chatgpt is not an llm
  8. Claude 4 prompt engineering best practices
  9. Compound engineering vs traditional software engineering
  10. Compound engineering
  11. Context engineering art of delegation
  12. Context engineering
  13. Deepseek r1 paradigm shift
  14. Dense models vs mixture of experts
  15. Deterministic vs propapbistic
  16. Emerging user interaction patterns agentic applications
  17. Evolving ai agent ux
  18. Future work skills
  19. Gen ai strategies
  20. Generating llmstxt for astro
  21. Getting started with gen ai
  22. Glossary of generative ai terms
  23. Horizontal vs vertical saas
  24. How to present ai strategy to board
  25. Importance of ai evals
  26. Innovation culture
  27. Interesting finds of the week
  28. Jev decision plane agent architecture
  29. Jev model that refuses to write
  30. Job titles in ai era
  31. Llm optimization
  32. Mcp b2a standard
  33. Mcp foundation for agentic ai
  34. Memory based agent learning
  35. Move 37 and agents
  36. Next wave of coding
  37. Prompt engineering agentic workflows
  38. Ralph loop compound engineering future software development
  39. Rnn deep dive
  40. Route to agi
  41. Seo to sao
  42. Sequence to sequence learning
  43. Service as a software
  44. Single agent vs multi agent
  45. Software 3 0 age of ai
  46. Solo developer ai team
  47. Switch to uv
  48. The reliability chasm in ai agents
  49. Thinking in agents
  50. Tokeniser
  51. Vibe coding to agentic engineering
  52. Voice agents future of interaction
  53. Workflows
  54. Zero click phenomenon
  55. Propensity one