Category: Amazon Q Developer

Building on our previous discussions about AWS generative AI cost optimization, the fourth blog of the five-part blog series focuses on maximizing value from Amazon Q, AWS’s generative AI-powered assistant. While our earlier posts covered custom model development with Amazon EC2 and SageMaker AI and foundation models with Amazon Bedrock, today we’ll explore strategies to optimize costs when implementing Amazon Q. From selecting the right pricing tier and implementing strategic user management to optimizing content indexing and improving cost predictability, we’ll share practical approaches that help you balance functionality with cost efficiency. Whether you’re using Amazon Q Business for your generative AI–powered assistant or Amazon Q Developer to enhance developer productivity, these best practices will help you make informed decisions about your Q implementation.