Multi-agent LangGraph system generating secure Terraform from English requirements, with architect, DevOps, security, and visualizer agents in a feedback loop.

Does AI-generated Terraform pass security scans?

It iterates fixes up to three times; unresolved high-severity issues become warnings, not blockers — perfect for accepted risks like public ALBs.

Where to get InfraSquad code?

Open-source on GitHub: Andela-AI-Engineering-Bootcamp/infrasquad. Fork and build your own.

🤖 AI Dev Tools

AI Agents Conquered Terraform — With a Security Brain

Three meetings to one AI pipeline? That's InfraSquad's revolution. Agents architect, code, audit, and visualize — looping fixes until secure.

theAIcatchup Apr 10, 2026 4 min read

Flowchart of AI agents pipeline generating secure Terraform code with feedback loops

⚡ Key Takeaways

AI agents slash infra meetings via cyclic fixes, but cap loops at three to avoid infinity. 𝕏
Every LLM defaults to risky 0.0.0.0/0; prompts fail — embrace warnings for design intents. 𝕏
InfraSquad signals agent swarms as the future OS for cloud infrastructure. 𝕏

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theAIcatchup

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#AI agents #DevOps automation #IaC automation #InfraSquad #LangGraph #LangGraph agents #Terraform #Terraform AI #cloud security #multi-agent systems

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Originally reported by dev.to

⚡ Key Takeaways

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