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

Software Development

The text: Instrumenting Video, Assessments, and Branching Scenarios with xAPI on a colorful image with a pattern of laptops

Instrumenting Video, Assessments, and Branching Scenarios with xAPI

E-Learning Standards, xAPIBy Sami13.08.2026Leave a comment

Valid xAPI statements are not enough. This article shows how to instrument video, assessments, and branching scenarios with consistent verbs, stable IDs, and one registration so learner behavior stays reconstructable later.

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A friendly futuristic robot manages a compact ring of glowing task-state icons, while blurred transcript panels fade into the background, visualizing short-term state as focused working memory for the current AI agent task.

Short-Term State in Agents: The Working Memory of the Current Task

AI Agent Engineering for Developers, Multi-Agent SystemsBy Sami22.07.2026Leave a comment

Short-term state is not a transcript. It is the working memory of the current task. This article explains how clean, structured thread state improves agent focus, reduces context pollution, and makes tool-using systems easier to debug and scale.

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A Robot surrounded by tools to choose from

Tool Calling Agents: How Models Turn Decisions Into Actions

AI Agent Engineering for Developers, The Agent LoopBy Sami13.05.2026Leave a comment

Tool use is where an agent stops generating text and starts affecting real systems. This article explains why tool design acts as both decision boundary and action contract, and how better schemas, validation, and tracing make tool calling agents more reliable.

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