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  • Pair programming with AI in 2025: habits that stick
  • vLLM in 2025: the improvements that matter to LLM-serving teams
  • Microsoft's GraphRAG in enterprise: patterns that work
  • Alignment evaluation: RLHF, DPO, and recent alternatives
  • Gemma 2: Google's open model one year later

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Tag: agents

Claude’s Computer Use: When the Agent Moves the Mouse

October 23, 2024 javi
Mano robótica operando teclado de ordenador representando automatización IA

Anthropic released Computer Use: Claude controls the desktop. What works, what doesn’t, and automation implications.

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Inteligencia Artificial 

CrewAI: Orchestrating AI Agent Teams

September 23, 2024 javi
Equipo de engranajes funcionando coordinadamente representando colaboración

CrewAI models agents as a crew with roles and tasks. How it compares with LangGraph and AutoGen, and when multi-agent patterns actually pay off.

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Inteligencia Artificial Metodologías 

OpenAI Assistants API: Stateful Agents Without Your Own Infrastructure

September 17, 2024 javi
Interfaz de asistente digital sobre pantalla moderna en tema oscuro

The Assistants API offers persistent threads, tool calling, and file search managed by OpenAI. We examine when it pays off versus Chat Completions with your own logic.

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Desarrollo de Software Inteligencia Artificial 

LangGraph: State Graphs for More Robust Agents

May 2, 2024 javi
Diagrama de flujo con nodos y conexiones sobre fondo oscuro representando grafo de estados

LangGraph models LLM agents as explicit state graphs. When it beats LangChain’s traditional loop and how to structure flows that don’t collapse in production.

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Desarrollo de Software Inteligencia Artificial 

Recent Posts

  • Pair programming with AI in 2025: habits that stick
  • vLLM in 2025: the improvements that matter to LLM-serving teams
  • Microsoft’s GraphRAG in enterprise: patterns that work
  • Alignment evaluation: RLHF, DPO, and recent alternatives
  • Gemma 2: Google’s open model one year later
  • o3 in public: the reasoning leap is confirmed
  • Gemini 2.0: integrated tools and agent mode
  • Home lab: self-hosted lab as a testing ground
  • Full-stack TypeScript in 2025: the good, the meh, the bad
  • WASI preview 3: threads and async in WebAssembly
  • AI-assisted code review: an honest adoption story
  • Llama 3.2 at the edge: Meta bets on small
  • Cloudflare Workers in 2025: from edge to enterprise
  • Generics in Go: three years later, what has survived
  • NPU in the PC: faster, cheaper local AI

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