Prompt AI Coding Assistants to Build Production-Ready Agents: 8 Essential Patterns

Short summary

This article describes 8 architecture patterns for production AI agents—GraphRAG, semantic tool selection, guardrails, and token-optimization techniques—that prevent hallucinations and token waste. Rather than implementing all 8, you learn what each solves, then specify the patterns your use case needs when prompting AI coding assistants like Claude Code or ChatGPT. This approach prevents production failures by guiding AI to make correct architecture decisions upfront.

• •8 patterns target hallucination (GraphRAG, semantic tool selection, guardrails) and token waste (memory pointers, async handles, debounce hooks)
• •Patterns are architecture decisions you specify in prompts to AI coding assistants, not implementation guides
• •Using the right patterns prevents the 5 most expensive production failures: hallucinations from incomplete data and silent token waste

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