This guide provides practical tips for coding with generative AI, emphasizing the importance of testing and validation.
Imagine this: you have a great idea for solving a big problem, and you realize your AI assistant can generate a working prototype in minutes — but should you trust it without testing, or is that a recipe for disaster? These 10 practical tips for writing code with generative AI come from Automators Anonymous at the University of Michigan and Michigan Medicine, where members build clinical, research, and operational tools using JavaScript, Power Platform, SharePoint, SQL, and AI. From prompt engineering to data validation, this is the survival guide we wish we had when we started.
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Gabriel Mongefranco (2026) studied this question.
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