codewhisperer

The most capable generative AI–powered assistant for software development.

What is Amazon Q Developer?

Amazon Q Developer is a generative AI-powered assistant designed to accelerate the entire software development lifecycle (SDLC). It acts as an expert on AWS, helping developers build, deploy, and operate applications faster by providing conversational assistance, code generation, and autonomous agent capabilities.

Key Features

Agentic Capabilities: Autonomously performs tasks like implementing features, documenting, testing, reviewing, and refactoring code.
Inline Code Suggestions: Provides real-time code completions in popular IDEs (VS Code, JetBrains, Visual Studio, Eclipse).
AWS Expert Assistance: Provides guidance on architectural best practices, cost optimization, and troubleshooting within the AWS Management Console.
Software Transformation: Features specialized agents for upgrading applications (e.g., Java 8 to Java 17) and porting .NET applications from Windows to Linux.
Vulnerability Scanning: Scans code for security issues and suggests remediations.
CLI Integration: Offers AI-powered command-line completions and chat directly in the terminal.

Use Cases

Accelerating Development: Speeding up coding tasks and reducing manual effort for boilerplate or repetitive logic.
Modernizing Legacy Apps: Automating the heavy lifting of language version upgrades and platform migrations.
Cloud Operations: Investigating operational incidents and diagnosing networking issues via the AWS Console or chat apps like Slack and Microsoft Teams.
Data & AI Building: Helping users write queries in natural language and design ML models or data pipelines.

FAQ Highlights

Is there a free tier? Yes, the AWS Free Tier includes 50 agentic chat interactions per month and up to 1,000 lines of code transformation.
Where can I use it? It is available in IDEs, the AWS Console, the CLI, and integrated with platforms like GitLab and GitHub (preview).
How is my data handled? For Amazon Q Developer Pro users, proprietary content is not used to improve the underlying service models.

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