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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

Developer Tools

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Pragmatic Starter Kit: Build Your Foundation

Book Summary, The Pragmatic ProgrammerBy Sami27.10.2026Leave a comment

Version control, automated testing, and continuous integration create a reliable software development foundation that makes quality repeatable.

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Three glowing neon robots stand on separate circular platforms in a futuristic digital city, passing a layered stack of data, messages, and workflow elements from left to right. Bright blue and purple streams connect them, while holographic panels around each robot show documents, chat bubbles, databases, settings, and validation icons, illustrating agent handoffs and the transfer of context across stages.

Agent Handoffs: How to Pass Work Without Losing Context

AI Agent Engineering for Developers, Multi-Agent SystemsBy Sami21.10.2026Leave a comment

Most multi-agent failures happen at transfer boundaries. Learn how to design a compact handoff contract so the next agent gets the right intent, constraints, status, evidence, next action, and stop condition without inheriting noisy transcript history.

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A futuristic robot oversees a stream of glowing chat bubbles, notes, and data fragments flowing into a large compression machine, which condenses the chaos into a smaller set of structured cubes and organized task-state blocks, illustrating summarization for long-running AI agents without losing important context.

Summarization for Long-Running Agents: Compression Without Losing the Plot

AI Agent Engineering for Developers, Memory Management in AgentsBy Sami12.08.2026Leave a comment

Long context windows do not solve long-running agent state. This article explains why summarization is really state compression, how to design structured summaries, when to trigger compaction, and how to detect behavioral drift before bad memory causes wrong tool calls or broken constraint handling.

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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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Robot surrounded by icons of settings, configuration, warning, check and database.

Tracing Agent Behavior: The Fastest Way to Understand What Went Wrong

AI Agent Engineering for Developers, The Agent LoopBy Sami03.06.2026Leave a comment

If an agent fails and you only have the final answer, you are debugging blind. This article explains how useful traces expose the exact step, tool, state, or context failure that actually broke the run.

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Text Manipulation: Automate Repetitive Work

Book Summary, The Pragmatic ProgrammerBy Sami31.03.2026Leave a comment

If you repeat the same text work twice, it is already time to automate it.

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Power Editing: Your Editor Is Your Sword

Book Summary, The Pragmatic ProgrammerBy Sami10.03.2026Leave a comment

Master your editor and you’ll double your productivity.

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