
Multi-Agent Architecture: Coordinator and Specialist Agents
Why single monolithic agents degrade under complex toolsets, and how to architect a multi-agent system using the Coordinator + Specialist Subagents pattern in Python.
Technical guides and step-by-step instructions on building cloud-native applications, engineering thought leadership, and scaling Agentic AI.

Why single monolithic agents degrade under complex toolsets, and how to architect a multi-agent system using the Coordinator + Specialist Subagents pattern in Python.

Design robust APIs for LLMs. Master tool sequencing prerequisites, semantic description engineering, policy verification gates, and atomic execution boundaries.

Why tools in agentic AI systems must never raise raw exceptions, and how to implement a structured error convention that lets models reason about failures and self-heal.

Demystify AI agents from first principles. Learn how the fundamental 'while True' agentic loop enables models to iterate, call multiple tools, and solve complex goals autonomously.
In the previous parts, we built the brain, the hands, and optimized the engine for cost. But in an enterprise setting, “it usually works” is...
In Parts 1 and 2 , we built an agent that can think and act. But in a production environment, an agent that “loops” is an agent that “spends...