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    • The Pragmatic Programmer Series
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    • AI Agent Engineering for Developers
      • The Agent Loop
      • Memory Management in Agents
  • 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

Agent Architecture

A futuristic robot stands at the center of a glowing blue platform, compacting a flood of purple chat bubbles, logs, and data fragments into a small set of bright structured cubes, while external storage icons on the right show databases, cloud files, archives, and a secure vault, illustrating context compaction and a fast hot path for AI agents.

Context Compaction: Keeping the Hot Path Fast

AI Agent Engineering for Developers, Multi-Agent SystemsBy Sami19.08.2026Leave a comment

Most long-running agent failures are context failures, not reasoning failures. This article explains how context compaction keeps the hot path small, preserves recoverability, and turns memory management into an operational policy.

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Futuristic neon-lit AI architecture scene showing a central robot assistant connected to layered platforms, cloud systems, databases, analytics dashboards, and modular service components through glowing data pathways, representing the modern AI agent stack built around orchestration, APIs, tools, memory, and runtime infrastructure.

Responses API, Agents SDK, and the Modern Agent Stack

AI Agent Engineering for Developers, The Agent LoopBy Sami24.06.2026Leave a comment

Most teams think they are choosing a framework. In practice, they are choosing what they will be able to see, control, and recover when an agent fails. This article explains the execution layer, orchestration layer, state tradeoffs, and the real architectural decisions behind a modern agent stack.

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A Robot surrounded by the agent loop and signs of validation

How to Design a Single-Agent Workflow Before You Add Complexity

AI Agent Engineering for Developers, The Agent LoopBy Sami06.05.2026Leave a comment

Most agent failures are not prompt failures. They happen because teams misunderstand the control loop the system is actually running. This article breaks the loop into its real runtime parts and shows why that changes debugging, reliability, and production behavior.

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A Robot surrounded by the agent loop and a group of robots and a laptop and servers

What the Agent Loop Really Is

AI Agent Engineering for Developers, The Agent LoopBy Sami29.04.2026Leave a comment

Most agent failures are not prompt failures. They happen because teams misunderstand the control loop the system is actually running. This article breaks the loop into its real runtime parts and shows why that changes debugging, reliability, and production behavior.

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