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Optimizing Prompts in Amazon Q Developer for Code Completion

Amazon Q Developer can write code for you, but its quality and relevance are only as good as the instructions you provide via prompts. This course will teach you how to craft and optimize prompts to ensure you always get exactly the code you need.

Danny Jessee - Pluralsight course - Optimizing Prompts in Amazon Q Developer for Code Completion
by Danny Jessee

What you'll learn

Amazon Q Developer uses AI to write source code based on instructions you provide it via prompts. In this course, Optimizing Prompts in Amazon Q Developer for Code Completion, you’ll learn to write thorough, nuanced, and detailed prompts to generate quality code that meets all of your requirements. First, you’ll explore scenarios where AI-based code completion can improve your efficiency as a developer. Next, you’ll discover how to iteratively develop prompts as you modify, refine, and test this generated code. Finally, you’ll learn how to optimize your prompts with the necessary level of detail, clarity, and context to ensure your code is feature-complete and production-ready. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering and optimization needed to significantly enhance your productivity and efficiency as a developer.

Table of contents

About the author

Danny Jessee - Pluralsight course - Optimizing Prompts in Amazon Q Developer for Code Completion
Danny Jessee

Danny Jessee is a senior software developer and cloud engineer in the Washington, DC metro area. He specializes in updating legacy applications to take advantage of the cloud and building custom solutions leveraging technologies such as SharePoint, ServiceNow, and AWS. He has numerous AWS certifications, has spoken at national SharePoint conferences, and enjoys sharing his knowledge and experience with developers and IT professionals around the world. In his spare time, he enjoys running and meteorology.

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