7 - AI Agents: Architecture and Implementation Patterns

How to design and implement AI Agents: ReAct architectures, tool calling, memory management, and patterns for multi-agent systems.

What you'll learn

• ReAct Loop: Alternate reasoning and action to solve tasks iteratively
• Tool Calling: Define clear, secure interfaces for every tool
• Orchestration: Choose the pattern (sequential, parallel, hierarchical) based on the task
• Memory: Short-term, long-term, and episodic for smarter agents
• Security: Tool whitelists, human approval, circuit breakers

This article is part of the AI Dev series on federicocalo.dev.

Read the full article

The complete article (22 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 7 - AI Agents: Architecture and Implementation Patterns

https://federicocalo.dev/en/blog/ai-agents-architecture-patterns-implementation

By Federico Calò — Software Developer & Technical Writer