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Fault Drills, Not Just Rollback Plans, Should Gate AI-Generated Server Changes

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A software engineer argues that rollback plans are insufficient for validating AI-generated server patches, because they only address returning to a prior state rather than exposing unknown failure modes. The author proposes running automated fault drills on disposable servers before any human reviews an AI-generated diff, using a language model to generate likely failure hypotheses from the change. Each failure mode is tested in isolation, with results classified by service recovery, restart success, and data integrity. The workflow relies on two low-cost resources: a model for generating failure hypotheses and a throwaway server for destructive testing. The article was published as part of outreach for MonkeyCode, though the author notes any ephemeral VM or container host can serve the same purpose.

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