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Case study: Contract fixture prevents HTTP client errors from AI-generated code

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A case study demonstrates how a local contract fixture can prevent errors when using AI-generated HTTP client code. The approach involves creating a JSON fixture that defines expected HTTP status code classifications for a specific API. A classifier function must match the fixture's definitions before code can be merged, catching dangerous misclassifications like treating conflict errors as successes. This prevents issues like duplicate orders or shipments when AI-generated code incorrectly handles HTTP status codes.

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