Engineers Urged to Add Review Boundaries Around AI Code Generators

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A software architect argues that using free AI models and servers changes your budget but not your security threat model, making a defined review boundary around code generators essential. The proposed architecture treats every AI workspace as ephemeral and disposable, assuming it can be reclaimed mid-run and that model versions may change without notice from providers. Generated code is never written directly to a working repository; instead, it flows through a five-stage pipeline ending in a human reviewer decision before anything reaches the main branch. A shell script and Python tool are proposed to capture each run's output as a structured 'packet' containing a diff, model fingerprint, and file classification, giving reviewers clear context. The author emphasizes that prompt-level restrictions are insufficient and that egress denial and sandbox-layer controls must be enforced at the infrastructure level.

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