Agentic DevOps: Letting AI Subagents Audit Terraform Infrastructure

Agentic DevOps: Letting AI Subagents Audit Terraform Infrastructure What if your DevOps workflow included AI workers that could review your infrastructure the same way a teammate would? As part of my learning journey with Agentic AI , I’ve been exploring how modern AI systems can move beyond simple prompt-response interactions and begin operating more like structured engineering workflows. Most agent systems operate using a simple loop: Gather → Act → Verify But there is another important idea that makes these systems far more powerful: Delegation. Instead of one AI trying to do everything, work can be delegated to specialized AI workers that focus on one responsibility. In Claude Code , these workers are called subagents . Skills vs Subagents Earlier in my project I worked with Skills — reusable slash commands such as: /tf-plan /tf-apply /deploy Skills help standardize repeatable workflows and run inside the same conversation context . But subagents work differently . A subagent opera