"Just describe your infrastructure and the AI writes it." We have all heard the pitch. The reality is hallucinated resource properties, forgotten dependencies, drifted state, and Terraform plans you are afraid to apply. What if we stopped guessing and started spec-ifying?

In this session I show how spec-driven development with Speckit and Squad turns Infrastructure as Code from a solo copy-paste-pray workflow into a structured, multi-agent engineering process, with real Terraform and Bicep deploying to real Azure.

Squad gives you a team of AI agents, each with a dedicated role (lead architect, IaC developer, validator, security engineer), collaborating on your infrastructure code the way a real engineering team would. Instead of free-form code generation, every module flows through Speckit's gated workflow: specify, plan, tasks, implement, validate. No code gets written until the spec is approved. No resource gets deployed until contracts are verified.

What you will walk away with:

Live demo: building an Azure Landing Zone component with both Terraform and Bicep, from spec to terraform apply / az deployment, driven by AI agent squads
Spec-driven IaC patterns: writing infrastructure specifications that prevent hallucinated resources, enforce naming conventions, and guarantee policy compliance before a single line of HCL or Bicep is written
Squad orchestration for IaC: configuring specialized agents (networking, identity, compute, security) that understand your Azure architecture and validate each other's work
Head-to-head comparison: the same infrastructure spec implemented in both Terraform (AzureRM/AzAPI) and Bicep, comparing how agents handle each language's idioms, module patterns, and testing approaches
Guardrails that actually work: using spec gates to catch missing NSG rules, overly permissive RBAC, and non-compliant naming before they become production incidents
This is not a "look what AI can do" talk. This is a practical workflow for infrastructure engineers who need to ship reliable, compliant Azure infrastructure at scale and want AI agents to do the heavy lifting without the guesswork.

Technologies demonstrated: Terraform (AzureRM, AzAPI), Bicep, Azure Landing Zones, GitHub Copilot, Squad, Speckit and GitHub Actions