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Navigating Specifications and Assumptions in AI-Driven Development
This chapter examines the delicate balance between clear specifications and ambiguity in large language models, especially in generating infrastructure as code. It highlights the potential risks and challenges of leaving parameters unspecified, advocating for the need for defined guidelines and proper tooling to mitigate inappropriate choices by the model.