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Create PromptDiscover and explore prompts created by the community to enhance your Amazon Q Developer workflow
Interface
The project intelligence documentation system transforms Amazon Q Developer from a stateless assistant into a persistent development partner by providing comprehensive context about your application.
Use Amazon Q Developer to assist you in creating a step-by-step specification for a feature idea.
Let Amazon Q create an implementation plan as a sequence of prompts that can be executed to implement a feature or task.
Transforms Amazon Q into a critical thinking partner that challenges your ideas instead of simply agreeing. The AI questions your assumptions, offers skeptical viewpoints, checks your reasoning for flaws, suggests alternative perspectives, and prioritizes accuracy over agreement. Perfect for refining arguments, avoiding confirmation bias, and developing more robust thinking.
This prompt assists you to calculate costs for your workload using up-to-date pricing information from the AWS service websites.
This prompt guides you through the process of refactoring Java 17 code to improve its quality, readability, and performance. It covers various aspects of code improvement, from basic cleanup to advanced optimization techniques.
Let Amazon Q prepare your Well-Architected Review, based on an analysis of a provided Cloudformation template
create C4 model diagram by PlantUML
Create a project diagram using PlantUML and C4 Model for your project based in your codebase
Refactors a given application using 12-factor as a methodology for building software-as-a-service apps.
This prompt allows for creating a complete Flask-based user interface from scratch on top of this application that only exposes APIs (https://github.com/aws-containers/votingapp). I often use this for demoing Amazon Q Developer capabilities but hopefully can inspire for other type of real usage.
Better prompts for drawing sequence diagram
Analyzes a React-based application and generates documentation visualizing the component hierarchy, component relationships, and key component metadata.
Create an extendable AWS architecture blueprint using AWS CDK for an asynchronous message processing system based on the API Gateway HTTP to SQS pattern. This blueprint is designed to facilitate a scalable and decoupled system that handles incoming API requests, enqueues them in SQS, and processes them asynchronously with Lambda.
Transforms Amazon Q into a speaking coach that analyzes presentation videos, providing detailed feedback on delivery, body language, and content structure. Creates multiple analysis files including comprehensive feedback, timestamp-specific notes, talk structure outline, and a personalized scorecard based on your experience level. Organizes outputs for easy reference and future analyses.
This prompt aims to identify missing metrics/alarms related to service health in a target package. A reference package is used to limit the response to required metrics/alarms, assuming it follows best practices for service health monitoring.
This prompt aims to identify missing metrics/alarms related to AWS Resources in a target package. A reference package is used to limit the response to required metrics/alarms, assuming it follows best practices for the particular resource type setup.