tf-domain-taxonomy

Detecting ambiguity in Terraform specifications involves applying an 8-category taxonomy across functional scope, data models, operational workflows, and non-functional attributes to systematically identify and categorize requirement gaps.

Prioritizing Terraform clarification questions requires using Impact × Uncertainty heuristics to rank gaps, driving concrete stakeholder alignment and next steps for module design decisions.

Structure a Terraform architecture review by running a step-by-step taxonomy scan that evaluates the specification against predefined categories to surface missing requirements and integration point ambiguities.

Yes, you can use the taxonomy to align stakeholders on Terraform non-functional requirements by generating structured clarification question patterns that translate ambiguous specifications into concrete decisions.

Yes, you need a pre-existing Terraform specification to run an ambiguity analysis, as the taxonomy scan evaluates your current specification text step by step to identify gaps across functional and operational categories.