Safer infrastructure as code changes with agents

AI coding agents can help prepare infrastructure-as-code changes, but safe review requires more than syntactically valid configurations because small diffs can affect networks, identities, storage, and production capacity. Changes should be narrowly scoped with explicit permitted modules, accounts, regions, environments, expected resources, and rules for deletions, replacements, or privilege expansions, while tool versions, provider locks, backends, workspaces, variables, and validation steps should be fixed before editing. Agents should generate a fresh Terraform or OpenTofu plan against the target environment, and reviewers should evaluate resource additions, modifications, replacements, destruction, IAM, public access, encryption, retention, networking, data resources, and unresolved values against the intended architecture and local conventions. Plans are useful evidence rather than approval because they can contain unknown apply-time values and depend on the current state and execution context. The guidance recommends retaining automated policy checks and provider validation in CI, separating planning identities from production apply identities, protecting credentials, documenting plan results and rollback considerations in pull requests, and stopping work when workspace selection, state access, or destructive changes cannot be clearly verified.

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