โ˜๏ธ AWS โ€ข AI CODING โ€ข AGENTS โ€ข CLOUD

Build Faster With Amazon Q Developer

Amazon Q Developer is AWS's generative AI-powered assistant for software development. It helps developers write code, understand projects, test applications, troubleshoot problems, scan for vulnerabilities, transform applications and automate complex development tasks with agentic workflows.

Q

Amazon Q Developer

AWS AI Coding Assistant

โ˜…โ˜…โ˜…โ˜…โ˜…
AI development across the SDLC
Category ๐Ÿ’ป AI Coding
Agentic Coding โœ“ Available
Security Scanning โœ“ Available
AWS Integration โœ“ Extensive
Amazon Q Developer Overview

What Is Amazon Q Developer?

Amazon Q Developer is a generative AI assistant from AWS designed to help developers and IT professionals throughout the software development lifecycle.

It can assist with coding, testing, deployment, troubleshooting, security scanning, application modernization, AWS resource optimization and data engineering workflows.

Who Can Use Amazon Q Developer?

  • ๐Ÿ’ป Software developers
  • โ˜๏ธ AWS developers
  • ๐Ÿ›  DevOps engineers
  • ๐Ÿ” Security engineers
  • ๐ŸŽ“ Programming students
  • ๐Ÿข Enterprise development teams
  • ๐Ÿš€ Startups
  • ๐Ÿ“Š Data engineers
Key Features

Amazon Q Developer Features

Amazon Q combines AI coding assistance with agentic development, AWS expertise, security tools and application transformation.

โŒจ๏ธ

Code Completion

Receive real-time suggestions ranging from snippets to full functions.

โœจ

Code Generation

Describe what you want and generate implementation code from natural language.

๐Ÿ’ฌ

AI Coding Chat

Ask questions about code, architecture, AWS and development problems.

๐Ÿค–

Agentic Coding

Handle complex multi-step development tasks using autonomous workflows.

๐Ÿง 

Workspace Context

Understand project files, dependencies and broader codebase context.

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Bug Fixing

Investigate errors and generate possible fixes.

๐Ÿงช

Test Generation

Generate unit tests and support software testing workflows.

๐Ÿ”

Security Scanning

Detect vulnerabilities and suggest security remediations.

โ™ป๏ธ

Code Transformation

Modernize supported applications and upgrade application code.

๐Ÿ“

Documentation

Generate README files, documentation and data-flow diagrams.

๐Ÿงฉ

MCP Support

Use Model Context Protocol servers with supported agentic workflows.

โ˜๏ธ

AWS Expertise

Get assistance with AWS architecture, resources, services and best practices.

Code Assistance

Write Code Faster With Amazon Q

Real-Time Coding Suggestions

Amazon Q Developer provides real-time code suggestions based on comments, existing code and development context.

It can generate anything from smaller code snippets to complete functions, helping developers reduce repetitive coding work.

Useful For

  • โŒจ๏ธ Boilerplate code
  • ๐Ÿ— Functions
  • ๐Ÿงฉ Components
  • ๐Ÿ“ฆ API code
  • ๐Ÿงช Test code
  • ๐Ÿ”ง Utility functions
  • ๐Ÿ“ Documentation
  • โš™๏ธ Infrastructure code
Agentic Development

Amazon Q Developer Agent

From Prompt To Implementation

Amazon Q Developer's agentic coding experience can take a natural-language development request, understand the existing project, create an implementation plan and make changes across multiple files.

The agent can read and write local files, generate code diffs and execute shell commands while incorporating developer feedback.

Agent Tasks

  • ๐Ÿ— Implement features
  • โ™ป๏ธ Refactor code
  • ๐Ÿงช Write tests
  • ๐Ÿ“ Update documentation
  • ๐Ÿž Fix bugs
  • ๐Ÿ”ง Modify multiple files
  • ๐Ÿš€ Perform upgrades
  • ๐Ÿ”€ Work with pull requests
CLI

Amazon Q Developer CLI Agent

AI Coding From Your Terminal

The Amazon Q Developer CLI provides an agentic coding experience directly from the terminal. It can use local files, shell commands, AWS APIs and MCP-based tools.

This makes Q useful for developers who prefer terminal-based development and automation workflows.

CLI Capabilities

  • โŒจ๏ธ Terminal chat
  • ๐Ÿค– Agentic coding
  • ๐Ÿ“‚ Read local files
  • โœ๏ธ Write files
  • โš™๏ธ Run shell commands
  • โ˜๏ธ Call AWS APIs
  • ๐Ÿงฉ Use MCP tools
  • ๐Ÿ”ง Automate workflows
AWS Development

Build Better AWS Applications

AWS-Native AI Assistance

Amazon Q Developer can answer questions about AWS architecture, resources, documentation, best practices and implementation approaches.

Developers can use Q to understand AWS services, troubleshoot applications, analyze resources and design cloud solutions.

AWS Workflows

  • โ˜๏ธ AWS architecture
  • ๐Ÿ›  Resource troubleshooting
  • ๐Ÿ” IAM guidance
  • ๐Ÿš€ Application deployment
  • โšก Lambda development
  • ๐Ÿ—„ Database workflows
  • ๐ŸŒ API development
  • ๐Ÿ“ฆ Infrastructure
  • ๐Ÿ“Š AWS optimization
Security

Security Scanning & Vulnerability Fixes

Find Problems Before Production

Amazon Q Developer can scan code for security vulnerabilities and provide suggested remediations.

AWS specifically highlights detection of issues such as exposed credentials and log injection, along with automated suggestions for fixing vulnerabilities.

Security Workflows

  • ๐Ÿ” Vulnerability scanning
  • ๐Ÿ” Credential detection
  • ๐Ÿ›ก Security analysis
  • ๐Ÿ”ง Suggested remediation
  • ๐Ÿ“‹ Code review
  • โš™๏ธ Infrastructure checks
  • ๐Ÿ”’ Secure coding guidance
Code Transformation

Modernize Legacy Applications

Application Modernization

Amazon Q Developer includes transformation capabilities designed to help modernize supported application code.

Current AWS pricing documentation lists transformation capabilities for Java upgrades and .NET transformations, with different usage limits depending on the service tier.

Transformation Use Cases

  • โ˜• Java upgrades
  • ๐Ÿ”ท .NET transformation
  • โ™ป๏ธ Legacy modernization
  • ๐Ÿ”ง Dependency updates
  • ๐Ÿ— Application upgrades
  • ๐Ÿงช Post-transformation testing
Codebase Context

Understand Your Entire Project

Workspace-Aware Assistance

Amazon Q Developer can use workspace context to understand an application's files, architecture and dependencies.

In supported IDE workflows, developers can ask questions about the entire project and use workspace context to receive more relevant answers.

Contextual Tasks

  • ๐Ÿ“‚ Understand repositories
  • ๐Ÿ” Find dependencies
  • ๐Ÿง  Explain architecture
  • ๐Ÿ”— Trace application flows
  • ๐Ÿž Locate potential problems
  • ๐Ÿ“ Generate documentation
  • ๐Ÿ“Š Create architecture diagrams
MCP

Model Context Protocol Support

Connect AI Agents With Tools

Amazon Q Developer supports Model Context Protocol servers in supported environments. This allows agentic workflows to interact with additional tools and services.

The CLI agent can use native and MCP-based tools while working through development tasks.

MCP Workflows

  • ๐Ÿงฉ External tools
  • ๐Ÿ”Œ APIs
  • ๐Ÿ“š Documentation systems
  • ๐Ÿ—‚ Development resources
  • โš™๏ธ Custom workflows
  • ๐Ÿค– Agent automation
IDE Support

Where Can You Use Amazon Q Developer?

๐Ÿ’ป

VS Code

Use Amazon Q directly inside Visual Studio Code.

๐Ÿง 

JetBrains

Use Q in IntelliJ IDEA, PyCharm, GoLand and other supported IDEs.

๐ŸชŸ

Visual Studio

Access Amazon Q through the AWS Toolkit for Visual Studio.

๐ŸŒ

Eclipse

Amazon Q Developer is available for Eclipse as a preview.

โŒจ๏ธ

Command Line

Use Q in terminals including local and SSH environments.

โ˜๏ธ

AWS Console

Access Amazon Q assistance inside supported AWS experiences.

Programming Languages

Supported Coding Languages

๐Ÿ Python

AI assistance for Python development.

โ˜• Java

Java generation, transformation and modernization.

๐ŸŸจ JavaScript

Build and modify JavaScript applications.

๐Ÿ”ท TypeScript

TypeScript code generation and assistance.

๐Ÿ”ต C#

C# development and .NET workflows.

๐Ÿน Go

Go application development assistance.

๐Ÿฆ€ Rust

Rust coding assistance and generation.

๐Ÿ˜ PHP

PHP application development assistance.

๐Ÿ’Ž Ruby

Ruby coding and application workflows.

๐ŸŸฃ Kotlin

Kotlin development assistance.

โš™๏ธ C / C++

Native application coding assistance.

๐Ÿ—„ SQL

SQL generation and database assistance.

Pricing

Amazon Q Developer Pricing

Amazon Q Developer currently offers a perpetual Free tier and a paid Pro tier.

Plan Price Agentic Requests Transformation Best For
Free Free 50/month 1,000 LOC/month for Java transformation Individual developers
Pro $19/user/month Higher limits 4,000 LOC/month pooled for Java transformation Professional developers & teams

Pricing and quotas can change. Check the official AWS pricing page for the current limits and terms.

Check Current Amazon Q Pricing โ†’
Free Tier

Amazon Q Developer Free Tier

Start Without A Subscription

Amazon Q Developer provides a perpetual Free tier with monthly limits. Developers can use the Free tier in supported IDE and command-line workflows when using an AWS Builder ID.

AWS currently lists 50 agentic requests per month and up to 1,000 lines of code per month for Java transformation under the Free tier.

Free Tier Highlights

  • ๐Ÿ†“ No monthly subscription
  • ๐Ÿค– Agentic requests
  • ๐Ÿ’ฌ Q&A chat
  • โŒจ๏ธ IDE assistance
  • ๐Ÿ’ป CLI access
  • โ˜• Java transformation
  • ๐Ÿ” Secure AWS processing
Pro Tier

Amazon Q Developer Pro

Higher Limits & Advanced Features

Amazon Q Developer Pro provides higher usage limits and additional capabilities for professional development teams.

AWS currently lists the Pro subscription at $19 per user per month.

Pro Benefits

  • ๐Ÿ“ˆ Higher agentic limits
  • โ˜• Higher Java transformation limits
  • ๐Ÿ” IP indemnity
  • ๐Ÿข IAM Identity Center support
  • ๐Ÿ“Š Admin dashboards
  • โš™๏ธ Administrative controls
  • ๐Ÿ”’ Additional enterprise controls
AWS & GitHub

Development Workflow Integrations

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GitHub

Assign GitHub issues to Q Developer and automate supported development tasks.

๐ŸฆŠ

GitLab

GitLab Duo with Amazon Q can support advanced AI workflows across the SDLC.

โ˜๏ธ

AWS

Get assistance with AWS resources, architecture and cloud operations.

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Slack

Amazon Q can assist with operational events and AWS troubleshooting.

๐Ÿ‘ฅ

Microsoft Teams

Use Amazon Q in supported chat application workflows.

๐Ÿ“ฑ

AWS Mobile App

Access supported Amazon Q assistance from the AWS Console Mobile Application.

Enterprise Privacy

Security & Privacy With Amazon Q

Your Code & Organizational Controls

Amazon Q Developer Pro states that proprietary customer content is not used for service improvement.

Amazon Q also integrates with AWS identity and access controls so organizations can use existing governance identities, roles and permissions.

Security Features

  • ๐Ÿ” AWS security controls
  • ๐Ÿ›ก Vulnerability scanning
  • ๐Ÿ”’ Secure cloud processing
  • ๐Ÿ“‹ Reference tracking
  • ๐Ÿšซ Public code suggestion controls
  • ๐Ÿ‘ฅ IAM governance
  • ๐Ÿข Identity Center support
Use Cases

What Can Amazon Q Developer Do?

๐Ÿ’ป Code Generation

Generate code from natural-language instructions.

โŒจ๏ธ Code Completion

Speed up everyday programming with contextual suggestions.

๐Ÿค– Agentic Coding

Complete complex multi-step development tasks.

๐Ÿž Debugging

Investigate bugs and suggest fixes.

๐Ÿงช Testing

Generate tests and improve software reliability.

๐Ÿ” Security

Scan applications for vulnerabilities and suggest remediation.

โ™ป๏ธ Modernization

Transform supported legacy applications.

โ˜๏ธ AWS Architecture

Design and troubleshoot AWS applications and infrastructure.

๐Ÿ“ Documentation

Generate README files and technical documentation.

Workflow

How To Use Amazon Q Developer

1

Open Project

Open your project in a supported IDE or terminal.

2

Describe Task

Tell Q what you want to build, fix or understand.

3

Let Q Work

Use chat, completion or agentic coding to perform the task.

4

Review

Inspect the changes, run tests and validate the result.

Comparison

Amazon Q Developer vs Other AI Coding Tools

Tool Code Completion Agents Codebase Context MCP Cloud Ecosystem
Amazon Q Developer โœ“โœ“ โœ“โœ“ โœ“โœ“ โœ“ AWS
GitHub Copilot โœ“โœ“ โœ“โœ“ โœ“โœ“ โœ“ GitHub / Microsoft
Cursor โœ“โœ“ โœ“โœ“ โœ“โœ“ โœ“ General
Windsurf โœ“โœ“ โœ“โœ“ โœ“โœ“ โœ“ General
Tabnine โœ“โœ“ โœ“โœ“ โœ“โœ“ โœ“โœ“ General / Enterprise
Gemini Code Assist โœ“โœ“ โœ“ โœ“โœ“ โœ“ Google Cloud
Pros & Considerations

Amazon Q Developer Advantages

โœ“ Advantages

  • Strong AWS integration
  • Free tier available
  • Agentic coding workflows
  • CLI agent
  • IDE integrations
  • Security scanning
  • Code transformation
  • Workspace context
  • MCP support
  • GitHub and GitLab workflows
  • AWS architecture assistance
  • Enterprise identity controls

! Things To Consider

  • Many advanced capabilities are AWS-oriented
  • Usage limits apply to Free and Pro tiers
  • Some transformations have separate quotas
  • AI-generated code still requires review
  • AWS knowledge is most valuable for AWS users
  • Some features vary by IDE
  • Agentic workflows should be monitored
  • Pricing and quotas can change
Who Should Use It?

Is Amazon Q Developer Right For You?

Excellent Choice For

  • โ˜๏ธ AWS developers
  • ๐Ÿ’ป Software engineers
  • ๐Ÿ›  DevOps teams
  • ๐Ÿ” Security engineers
  • ๐Ÿข Enterprise teams
  • ๐Ÿš€ AWS startups
  • ๐Ÿงช QA engineers
  • โ™ป๏ธ Legacy modernization teams

Consider Other Tools If

  • ๐ŸŽจ You mainly need image generation
  • ๐ŸŽฌ You mainly need AI video
  • ๐ŸŽต You mainly need music generation
  • ๐Ÿ“ You mainly need content writing
  • ๐ŸŽ™๏ธ You mainly need voice generation
  • ๐Ÿ“Š You mainly need general productivity AI

Build With AWS AI

Write code, understand projects, secure applications, modernize legacy systems and automate complex development tasks with Amazon Q Developer.

โ˜๏ธ Explore Amazon Q Developer โ†’
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Frequently Asked Questions

Amazon Q Developer FAQ

Amazon Q Developer is AWS's generative AI-powered assistant for software development and AWS-related workflows.
Yes. Amazon Q can generate code from natural-language instructions and provide real-time inline coding suggestions.
Yes. Amazon Q Developer provides agentic coding capabilities for complex multi-step development tasks.
The CLI agent provides an agentic coding experience in the terminal and can read and write local files, run shell commands, call AWS APIs and use MCP-based tools.
Yes. MCP servers are supported in Amazon Q Developer agentic workflows in supported environments.
Yes. Amazon Q can use workspace and project context to answer questions about code, dependencies and architecture.
Yes. Amazon Q Developer provides security scanning and can suggest remediation for detected vulnerabilities.
Amazon Q can provide suggested remediations for vulnerabilities detected during supported security scanning workflows.
Yes. Testing is one of the software development tasks supported by Amazon Q, including test generation and agentic testing workflows.
Yes. Amazon Q can generate and update documentation such as README files and can help create data-flow diagrams.
Yes. AWS development is a major focus of Amazon Q Developer. It can provide guidance about AWS architecture, resources, services and best practices.
Yes. Amazon Q Developer is available through the AWS Toolkit for Visual Studio Code.
Yes. Amazon Q Developer is available for supported JetBrains IDEs including IntelliJ IDEA and PyCharm.
Yes. Amazon Q Developer is available through the AWS Toolkit for Visual Studio.
Yes. Amazon Q Developer is available for Eclipse as a preview.
Yes. Amazon Q Developer has a perpetual Free tier with monthly usage limits. AWS currently lists 50 agentic requests per month and 1,000 lines of Java transformation per month.
AWS currently lists Amazon Q Developer Pro at $19 per user per month. Usage limits and pricing terms should be checked on the official AWS pricing page.
AWS states that proprietary content submitted through Amazon Q Developer Pro is not used for service improvement.
Yes. Amazon Q Developer provides transformation capabilities for supported Java upgrades, with monthly code-line limits depending on the subscription tier.
AWS currently provides .NET transformation capabilities through Amazon Q Developer, with availability and quotas depending on the applicable service configuration.
Yes. AWS currently documents Amazon Q Developer workflows with GitHub.com and GitHub Enterprise Cloud, including supported feature implementation, code-review and modernization workflows.
Yes. GitLab Duo with Amazon Q provides AI agent capabilities for supported GitLab workflows.
It can help beginners understand programming concepts and generate examples, but users should still learn programming fundamentals and verify AI-generated code.
Neither is universally better. Amazon Q is particularly attractive for developers working deeply with AWS, while GitHub Copilot has strong integration with the GitHub and Microsoft ecosystem.
The choice depends on the workflow. Amazon Q is especially useful for AWS development and cloud operations, while Cursor focuses heavily on its AI-first coding editor and agent experience.
No. Amazon Q can automate many coding and development tasks, but developers remain responsible for architecture, security, testing, code review and production decisions.

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