Browse Prompts

Cria a estrutura de contexto inteligente do AmazonQ para projetos de forma padronizada , conforme documentação da aws.

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.

Security review.

Update Amazon Q Knowledge of a given project

Generates realistic user personas based on your existing documentation or customer descriptions.

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.

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.

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.

Automate the creation of Github pull requests.

This prompt assists you to calculate costs for your workload using up-to-date pricing information from the AWS service websites.

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.

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

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

This prompt creates a shell script to copy data from a target DynamoDB table to a source table.

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

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

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

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

Learn from sketchy things you did in your CLI in the past and their risks

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.

Analyzes a React-based application and generates documentation visualizing the component hierarchy, component relationships, and key component metadata.

Analyzed and summarized an Eclipe MAT report with clear, actionable insights.

Commit you changes to git with a meaningful commit message following conventional commit specification.

Let Q do a code review of your staged files before committing and pushing your changes.

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.

Add comprehensive JUnit5 Parameterized Tests

Test test test

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

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

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

prompt bank for fishing-game demo

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

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

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

Testing constructs with fine-grained assertions focussing on covering relevant business logic, integration aspects and guardrails.

Uses the dev agent to create CDK snapshot tests following best practices and testing guidelines.

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

The prompt is useful for generating catchy titles

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

Frontend React Tailwind Vitests Good practices Senior Developer

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

Writes a git commit message using information about your current git repository and staged changes.

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.

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

Creates a pull request workflow template for Github Actions

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

Generates recommandations to improve my application with well architected best practices

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.

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

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

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

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

Adding unit tests for the code in the page

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

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

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

This will generate ready to use python code using external libraries