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    • AI Agent Engineering for Developers
      • The Agent Loop
      • Memory Management in Agents
      • Multi-Agent Systems
  • 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

Multi-Agent Systems

A futuristic neon robot supervisor stands in a glowing control room, coordinating multiple specialized worker agents across connected workflow panels as a larger task is broken into smaller steps and routed through different paths, illustrating decomposition, orchestration, and collaboration in a multi-agent system.

Supervisor-Worker Agents: A Practical Pattern for Decomposition

AI Agent Engineering for Developers, Multi-Agent SystemsBy Sami28.10.2026Leave a comment

Supervisor-worker agents succeed or fail on decomposition. Learn when to create workers, how to structure task packets, why worker context design matters, and how to trace orchestration in production.

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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 wide neon sci-fi illustration of a futuristic AI control room where multiple glowing robot agents work together as a coordinated system. Holographic panels, interconnected data flows, and linked task pathways in purple, blue, and cyan show how specialized agents collaborate, exchange information, and contribute to a larger shared workflow.

What Multi-Agent Systems Actually Are

AI Agent Engineering for Developers, Multi-Agent SystemsBy Sami14.10.2026Leave a comment

Most so-called multi-agent systems are really workflows. A true multi-agent system starts when agents can delegate or hand off work at runtime based on live task state. Here is the practical mental model developers need.

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A futuristic neon robot stands at a crossroads in a glowing sci fi city, comparing two large holographic workflows: on the left, a simple single-agent setup with one robot handling tools and tasks, and on the right, a more complex multi-agent system with several specialized robots connected through shared data and handoffs, while a balance icon above highlights the decision between simplicity and coordination.

Do You Even Need Multiple Agents?

AI Agent Engineering for Developers, Multi-Agent SystemsBy Sami07.10.2026Leave a comment

Multi-agent systems are not a default upgrade. Learn when multiple agents actually help, why one well-instrumented agent is often enough, and how to choose based on observable bottlenecks instead of architecture fashion.

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