Repeatability
Medium
The pattern of migrating Terraform state to S3+DynamoDB with workspace isolation is well-documented and structurally similar across projects. However, the specific resource layout, existing naming conventions, and team workflows introduce per-project variation that requires inspection of the actual codebase.
Ambiguity Tolerance
Medium
Success criteria are reasonably crisp — locking works, workspaces are isolated, migration is documented — but edge cases like existing state key paths, workspace naming conventions, and rollback procedures require judgment calls that aren't fully specified.
Data & Tool Availability
Low
The agent needs read access to the existing Terraform codebase, current S3 bucket config, AWS account credentials, and ideally the ability to run terraform plan. In most setups, an agent won't have authenticated AWS access or the full repo context without explicit provisioning.
Error Cost
High
Corrupting or losing a Terraform state file managing 30+ production AWS resources is a serious incident — it can make infrastructure unmanageable and require painful manual reconciliation. This is not easily reversible without a prior state backup.
Human Judgment Required
Medium
Choosing workspace naming strategy, deciding whether to migrate state in-place or start fresh, and coordinating the team freeze window during migration all require human judgment about team process and risk tolerance. The code generation itself is largely mechanical.