Amazon Q Developer rules enable teams to encode coding standards and best practices as reusable Markdown files stored in a project's .amazonq/rules folder. Rules automatically provide contextual guidance to the assistant within the project, ensuring consistent AI responses across team members and maintaining workflow preferences and established patterns. Rules integration currently works in Amazon Q Developer IDE extensions and the CLI. Rules-based assistance reduces repetitive setup and improves productivity by applying team conventions automatically. Consistent context from rules helps the assistant understand project-specific preferences, allowing developers to focus on problem-solving rather than repeatedly explaining standards.
When I first started working with Amazon Q Developer, I was impressed by its capabilities, but I quickly found myself in a familiar pattern. Development teams using AI assistants face a common challenge: repeatedly explaining coding standards, workflow preferences, and established patterns in every conversation. This repetitive setup reduces productivity and creates inconsistent AI guidance across team members. Sound familiar?
Rules in Amazon Q Developer are a way to build a library of coding standards and best practices that are automatically used as context when interacting with the assistant. These rules are defined in Markdown files stored in your project's .amazonq/rules folder. Once created, they automatically become part of the context for developers interacting with Amazon Q Developer within your project, maintaining consistency across team members regardless of their experience level.
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