The author is an avid reader and always has multiple books on the go, and they're always looking for new book recommendations. They had an idea to create a simple web application for friends to share and borrow books, and they decided to use Amazon Q to build it. The author started by thinking about the data structure, which helps shape the output from AI coding assistants. They used Amazon Q CLI to create an initial data model, which did a decent job of creating a starting point. The author then used scaffolding rules to provide essential context to help AI coding assistants. They created a prompt to build a book sharing application with Amazon Q CLI, which took about 10 minutes to create the initial application. The author then iterated and added new features, making changes and testing the application. They used Amazon Q Developer to review the code, which found 15 issues, including critical and high-priority ones. The author addressed these issues and updated the documentation using Amazon Q CLI. Finally, the author encouraged readers to try Amazon Q CLI for themselves.
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