Browse Prompts
Create PromptDiscover and explore prompts created by the community to enhance your Amazon Q Developer workflow
Interface
Independent Thought Challenger
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.
Professional Speaking Coach Feedback Generator
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.
Well Architected Review
Let Amazon Q prepare your Well-Architected Review, based on an analysis of a provided Cloudformation template
Prompt to send Q CLI Chat to do research on recent libraries for you.
Prompt to send Q CLI Chat to do research on recent libraries for you.
Cost Calculation
This prompt assists you to calculate costs for your workload using up-to-date pricing information from the AWS service websites.
Create project C4 model
create C4 model diagram by PlantUML
Project Intelligence
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.
Specifications for development tasks
Use Amazon Q Developer to assist you in creating a step-by-step specification for a feature idea.
Copy data from DynamoDB across accounts
This prompt creates a shell script to copy data from a target DynamoDB table to a source table.
Parameterize Like a Pro: Generating JUnit 5 Tests"
Generate comprehensive JUnit 5 tests for the selected Java code/function/class using best practices and design patterns.
Read Cline Memory Bank
Before starting a task, you want to make sure that Amazon Q knows about important project documentation generated by cline.
Implementation Plan
Let Amazon Q create an implementation plan as a sequence of prompts that can be executed to implement a feature or task.
Generate CDK & Lambda code from Drawio diagram
Generates a complete application (code + infrastructure) from a drawio diagram
Identifying metrics/alarms related to service health
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.
Identifying metrics/alarms related to AWS Resources
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.
Analyze Bash History
Learn from sketchy things you did in your CLI in the past and their risks
Setup shell from .zshrc
Use the CLI to install all your development tools from a .zshrc file. Without it, the manual setup would have taken hours. The CLI completes the task in minutes.
React Component Documentation
Analyzes a React-based application and generates documentation visualizing the component hierarchy, component relationships, and key component metadata.
Java Heap Dump analysis
Analyzed and summarized an Eclipe MAT report with clear, actionable insights.
Conventional Commit Messages
Commit you changes to git with a meaningful commit message following conventional commit specification.
Automated Code Review
Let Q do a code review of your staged files before committing and pushing your changes.
Draw like a Pro : Sequence Diagrams for a system flow
Better prompts for drawing sequence diagram
Refactor Like a Pro: Improve your Java17 code
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.
Parameterize Like a Pro: Supercharge Your JUnit 5 Tests!
Add comprehensive JUnit5 Parameterized Tests
Python Lambda Layer Generator
Creates a Lambda layer zip file, given a list of Python libraries. Checks for vulnerabilities.
requirement-to-issue-stepfunction
Requirement from client user to github issue, with step function and lambda
Create EKS Cluster using aws and terraform best practices
Multi-prompt /dev agent prompt to create a new EKS cluster
Solution Design
Turn Amazon Q Developer into an AWS Solutions Architect that guides you to create a solution design document.
generate REST API fixtures for cypress testing
To generate permutations of data using a sample response. This specific example has an array of a complex object type in its response
Generate UI functional test using cypress for a specific page.
generate functional test for a UI page that is built using a react framework
CDK unit tests for Typescript and jest
Testing constructs with fine-grained assertions focussing on covering relevant business logic, integration aspects and guardrails.
CDK Snapshot Tests for Typescript and jest
Uses the dev agent to create CDK snapshot tests following best practices and testing guidelines.
Create a project diagram for your project
Create a project diagram using PlantUML and C4 Model for your project based in your codebase
PYTHONEXPERT - DIY Profile Prompt
Prompt that instructs Q to behave in certain way when I use 'PYTHONEXPERT' keyword
Git commit message
Writes a git commit message using information about your current git repository and staged changes.
Build a UI for a votingapp
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.
Document Codeblock
For a given selection of code, provide useful documentation to help others understand your code
Github Actions pull request workflow
Creates a pull request workflow template for Github Actions
Senior React Engineer
Let Amazon Q Developer act as a Senior Engineer with deep experience in a defined area, asking clarifying questions instead of jumping into conclusions.
Generate Well Architected recommendations on my Drawio diagram
Generates recommandations to improve my application with well architected best practices
AWS architecture blueprint for an API Gateway to SQS pattern
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.
Generate Draw.io architecture diagram from code
Generates a drawio architecture diagram to visualize/document the design of your application
Generate CDK & Lambda code from Mermaid diagram
Generates a complete application (code + infrastructure) from a Mermaid application diagram as code
Generate Mermaid class diagram from code
Generates a mermaid class diagram as code to visualize/document the design of your application
Generate Mermaid sequence diagram from code
Generates a mermaid sequence diagram as code to visualize/document the design of your application
Generate Mermaid application flow diagram from code
Generates a mermaid application flow diagram as code to visualize/document the design of your application
AWS architecture blueprint for a scalable file-processing pipeline
Create an extendable AWS architecture blueprint for a scalable file-processing pipeline, capable of handling periodic CSV file uploads for processing and notifications
Project Structure Q&A
Q&A Prompting that helps Amazon Q Developer giving you a recommendation about best practices on how to structure your project.
12-factor refactoring
Refactors a given application using 12-factor as a methodology for building software-as-a-service apps.
Python code for external libraries
This will generate ready to use python code using external libraries