Скачать или смотреть How to Customize Amazon Q for Optimization | The Keys to AWS Optimization | S15 E1

In this episode of Keys to AWS Optimization, Steph Gooch and Stefan from AWS's prototyping team explore how to maximize Amazon Q Developer for building infrastructure as code efficiently. They dive into powerful customization techniques including setting up project-specific rules (stored in .amazonq/rules folders) to enforce coding standards, security guidelines, and cost optimization practices like using Graviton instances and GP3 volumes by default. Stefan demonstrates how managing context windows strategically—by creating multiple agent profiles for different parts of your codebase (infrastructure vs. web app)—keeps token usage around 50% and prevents "brain zap" where the AI loses context mid-task. Key productivity features covered include saving and loading conversations for later reference, using knowledge bases to index large codebases without filling your context window, and leveraging automatic to-do lists for complex refactoring tasks. The episode emphasizes that Amazon Q has been trained on years of best practices from Stack Overflow and engineering documentation, making it excellent for code reviews and architectural discussions. Pro tip for FinOps teams: create organizational rule templates that enforce cost-optimization defaults (like CloudWatch log retention periods and intelligent tiering for S3) to embed savings into the development process from day one.