The original title is: "LLMs amplify whatever architecture you bring them. Including none."

Short summary

LLMs amplify whatever architectural rigor you bring them—including none. A home-lab Zabbix operator learned this designing an alert-triage pipeline, where naive "just ask the model" approaches fail predictably. The solution: explicit architectural boundaries, guardrails against auto-executing remediation, and a severity-based trust matrix that limits LLM decisions to low-severity events while humans retain authority on critical incidents.

• •LLMs are implementation accelerators that amplify the quality of underlying architecture, not replacements for design
• •Explicit perimeter boundaries prevent scope creep and prevent unwanted behaviors like auto-executing remediation
• •Severity-based decision policies limit LLM autonomy on critical incidents; humans retain control on Disaster/High severity alerts

Generated with AI, which can make mistakes.