5 Most Popular Agentic AI Design Patterns Every AI Engineer Should Know

Abstraction: Five foundational agentic AI design patterns for autonomous systems

Key points:

• ReAct (Reasoning and Acting): alternates thought, action, observation; agent conditionally invokes tools; most common starting pattern
• CodeAct Agent: writes, executes, and refines code in a secure sandbox based on natural language; Manus AI is cited example using a structured Linux sandbox loop
• Self-Reflection (Reflection Agent): generates output, critiques it, iterates until quality threshold is met; useful for tasks requiring high correctness
• Multi-Agent Workflow: decomposes a prompt into parallel specialized agents (Research, Coding, Reviewer) then synthesizes outputs; enables fine-tuning per agent role
• Agentic RAG: dynamic retrieval managed by an agent layer using BM25 or dense embeddings, plus a generation model and agent coordinator; outperforms static RAG

Connections: AI Agents · Retrieval Augmented Generation · Prompt Engineering · Manus AI

Source: https://www.marktechpost.com/2025/10/12/5-most-popular-agentic-ai-design-patterns-every-ai-engineer-should-know/