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  • Home
  • About
  • Blog
    • The Pragmatic Programmer Series
    • E-Learning Standards
      • AICC
      • SCORM 1.2
      • SCORM 2004
      • xAPI
      • cmi5
    • AI Agent Engineering for Developers
      • The Agent Loop
      • Memory Management in Agents
      • Multi-Agent Systems

AI Engineering

A futuristic neon robot sits atop a layered memory infrastructure stack in a glowing cyber city, overseeing interconnected modules for conversation, retrieval, storage, security, tools, and execution, while bright data streams flow between surrounding systems to show AI memory designed as structured infrastructure rather than a single feature.

Designing Memory as Infrastructure, Not Magic

AI Agent Engineering for Developers, Memory Management in AgentsBy Sami30.09.2026Leave a comment

Most agent memory systems fail because they treat memory like magic instead of infrastructure. This article breaks memory into four layers: state, retrieval, long-term memory, and procedural memory, and shows why those boundaries matter in production.

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A robot presenting a laptop and surroundend by further robots, servers and screens

AI Agents for Developers: The Mental Model That Actually Holds Up

AI Agent Engineering for Developers, The Agent LoopBy Sami22.04.2026Leave a comment

Most confusion about AI agents starts with weak definitions. This article explains the mental model that holds up in real systems: an agent is a control loop around an LLM with tools, state, and observable execution.

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