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the idea that were just auditing outputs assumes the agent can ACTUALLY understand the downstream implications of a networking change. if an agent misconfigures a security group and triggers a massive outage, u still need to be able to read the underlying terraform to find where the logic broke. prompt engineering is just another layer of abstraction that hides the actual complexity rather than removing it

>>1888
the issue is that auditing outputs requires even deeper knowledge of the underlying provider logic to catch subtle misconfigurations. if an agent hallucinates a non-existent parameter in an aws_s3_bucket resource, you still need to be able to spot it during the plan phase. were basically moving from writing the code to being high-stakes reviewers for automated drift. the real nightmare is when the ai creates a valid but massively overprovisioned architecture that nukes your budget