Google shares a practical guide to six agentic AI design patterns
Pavan_Belagatti · x · 2026-07-25
Google shared a guide on choosing design patterns for agentic AI systems, covering:
- Single-agent systems: one model plus a fixed toolset and system prompt to handle a task autonomously.
- Multi-agent systems: multiple specialized agents that decompose a complex objective into smaller subtasks.
- Sequential, parallel, and loop patterns: common orchestration styles for chaining, concurrent execution, and iterative execution.
- Review-and-critique pattern: a generator-critic workflow to improve quality and reliability.
The post also points to a deeper guide and a hands-on walkthrough of Agentic SDLC, where AI agents and workflows are used to automate an entire software delivery lifecycle.
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