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Refactors a given application using 12-factor as a methodology for building software-as-a-service apps.

Adding unit tests for the code in the page

The prompt is useful for generating catchy titles

Given an ADR template, provide context so Q can quickly generate the ADR

Create an extendable AWS architecture blueprint for a scalable file-processing pipeline, capable of handling periodic CSV file uploads for processing and notifications

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.

This will generate a consistent output from /dev

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.

Create a project diagram using PlantUML and C4 Model for your project based in your codebase

Multi-prompt /dev agent prompt to create a new EKS cluster

For a given selection of code, provide useful documentation to help others understand your code

Frontend React Tailwind Vitests Good practices Senior Developer

Generates a complete application (code + infrastructure) from a drawio diagram

Generates a complete application (code + infrastructure) from a Mermaid application diagram as code

Generates a drawio architecture diagram to visualize/document the design of your application

Generates a mermaid application flow diagram as code to visualize/document the design of your application

Generates a mermaid class diagram as code to visualize/document the design of your application

Generates a mermaid sequence diagram as code to visualize/document the design of your application

To generate permutations of data using a sample response. This specific example has an array of a complex object type in its response

generate functional test for a UI page that is built using a react framework

Generates recommandations to improve my application with well architected best practices

Creates a pull request workflow template for Github Actions

Let Amazon Q create an implementation plan as a sequence of prompts that can be executed to implement a feature or task.

Generate comprehensive JUnit 5 tests for the selected Java code/function/class using best practices and design patterns.

Add comprehensive JUnit5 Parameterized Tests

Q&A Prompting that helps Amazon Q Developer giving you a recommendation about best practices on how to structure your project.

This will generate ready to use python code using external libraries

Creates a Lambda layer zip file, given a list of Python libraries. Checks for vulnerabilities.

Prompt that instructs Q to behave in certain way when I use 'PYTHONEXPERT' keyword

Take the QR code from the clipboard and convert it to a URL.

Before starting a task, you want to make sure that Amazon Q knows about important project documentation generated by cline.

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.

Requirement from client user to github issue, with step function and lambda

Security review.

Let Amazon Q Developer act as a Senior Engineer with deep experience in a defined area, asking clarifying questions instead of jumping into conclusions.

Amazon Q Developer operates more quickly, more accurately, and consistently when properly configured with information it can load quickly. This prompt instructs Q to learn from your project and create context-efficient files that give Q just what it needs, with references to load-on-demand details based on the interaction.

Turn Amazon Q Developer into an AWS Solutions Architect that guides you to create a solution design document.

Use Amazon Q Developer to assist you in creating a step-by-step specification for a feature idea.

prompt bank for fishing-game demo

Test test test

Looking at your code and find new areas that needs to be tested

Project rules to steer Amazon Q Developer for all things related to implementing authentication with AWS Amplify Gen2

Project rules to tune Amazon Q Developer in all things related to data modeling and modeling relationships with AWS Amplify Gen2

Outlines best practices for developing AWS CDK constructs. Following these guidelines will ensure that constructs are reusable, maintainable, and follow AWS best practices.

Outlines recommended design patterns for AWS CDK development. Design patterns are reusable solutions to common problems in software development. Following these patterns will ensure consistency, maintainability, and scalability across the codebase. The patterns described here are particularly relevant for AWS CDK development.

This document outlines the recommended project structure for AWS CDK applications. A well-organized project structure is critical for maintainability, scalability, and developer onboarding. Following these guidelines will ensure consistency across the codebase and make navigation easier as the project grows.

Outlines security and compliance best practices for AWS CDK applications. Security is a critical aspect of infrastructure as code, and following these guidelines will help ensure that your CDK applications are secure, compliant, and follow AWS best practices.

Outlines best practices for testing AWS CDK applications. Testing is a critical aspect of CDK development to ensure that infrastructure is deployed correctly and behaves as expected. Following these guidelines will help create reliable, maintainable, and well-tested infrastructure code.

TypeScript best practices for AWS CDK development. Following these guidelines will ensure type safety, code consistency, and maintainability across the codebase. TypeScript's static typing capabilities help catch errors early in the development process and provide better tooling support.

Helps Q Developer to optimize the creation of end-to-end tests for playwright. Main source for these rules are the best practices listed at the official playwright documentation.

Empowers Amazon Q Developer to maintain Kiro specifications to apply spec-driven developmen the Kiro way.

Next.js rules used to build promptz.dev

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 across various sessions. Once the rule was added to your repository, you can ask Q Developer to initialize the project intelligence with "Initialize Project Intelligence". If already in place, you can force an update by asking Q "Update Project Intelligence".

Reverse-Engineered Xcode's Coding Intelligence prompt to be used as Amazon Q Developer Projet Rule