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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

08.07.2026

Futuristic split-scene illustrating the evolution from prompt-based AI interactions to agent engineering. On the left, a small robot works with a laptop and simple conversational interfaces, representing traditional prompting. On the right, a larger advanced AI agent operates within a network of interconnected systems, tools, workflows, memory, evaluation, and orchestration components. A glowing stream of energy bridges the two sides, symbolizing the transition from isolated prompts to structured, production-ready agent systems.

From Prompting to Agent Engineering

AI Agent Engineering for Developers, The Agent LoopBy Sami08.07.2026Leave a comment

Prompting matters, but it is only one control layer. Reliable agents come from designing the loop, validating tool use, tracing decisions, and treating runtime behavior as the real unit of quality.

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