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AI-Generated Infrastructure Code Can Be Deployable Yet Architecturally Outdated

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A developer using an AI coding agent to generate AWS infrastructure-as-code discovered the output relied on a legacy service pattern that AWS had already superseded. The code deployed without errors and appeared functional, but a closer review of the AWS console and official documentation revealed newer, simpler, and potentially cheaper alternatives existed. The incident highlighted a key risk: AI models trained on older data can produce syntactically correct, deployable code that still reflects outdated cloud guidance. The developer now treats all AI-generated IaC as a first draft, adding a manual review step that cross-checks AWS service choices, documentation, and lifecycle updates before finalising any deployment. The experience underscores that in fast-evolving cloud environments, functional output from an AI agent does not guarantee architectural correctness or cost efficiency.

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