Oracle First: Routing AI-Generated Diffs With a Glossary and Four Leaves
Consider this scene. It is a composite, not a personal war story. An agent ran overnight on a leftover prompt. Morning git status showed fourteen files. Two of them implemented the requested endpoint. The rest were a new logger, a renamed helper, a rewritten Dockerfile, and a README that now contradicted the tests. Generation cost was close to zero. The next four hours were not. That gap is the…
This article serves as a comprehensive guide for handling AI-generated code diffs, providing a systematic approach to assess the generated changes and decide whether to keep, quarantine, or rewrite them. The guide is structured as a routing tree, offering clear steps and heuristics to determine the appropriate action for each patch. By employing this approach, developers can ensure that AI-generated code is thoroughly evaluated, minimizing potential risks and maintaining the overall integrity of the codebase.
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