Dev Tutorial: A Three-Step Python Gate to Validate AI-Generated Code Patches

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A DEV Community article proposes a lightweight validation loop for developers who use AI-generated code patches before merging them into a codebase. The approach treats model output as untrusted input and runs three sequential checks: contract verification, forbidden import detection, and regression testing against edge cases. A plain Python script called gate.py uses static AST analysis to catch missing functions, disallowed module imports, and logic that only handles the prompt's example input. The tool requires no model-specific SDK, making it compatible with output from any AI endpoint or manually written file. The author argues that skipping such checks effectively turns the developer into the integration test, often at the cost of late-night debugging in pull requests.

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