Vibe coders, developers reliant on LLMs, are becoming increasingly common. These developers often fail to read, test, or understand AI-generated code. They also disregard company coding standards. An example snippet shows a problematic pattern of using isinstance checks. While logging errors for missing fields is acceptable, the exception handling is highly problematic. The code raises an exception only to immediately catch and do nothing with it. This specific behavior is characteristic of LLMs generating statistically probable but functionally useless code. The example illustrates how LLMs might interpret instructions literally without applying logical reasoning. In Ronan's experience, this particular vibe coder was terminated. Their AI-generated code was never integrated into the project. However, the developer has already begun seeking new employment with AI-generated resumes. This highlights a broader concern about the skills and practices of LLM-reliant developers.