Amazon Q Developer

Amazon Q Developer

An AWS-native AI coding and cloud assistant that helps developers build, upgrade, and troubleshoot software faster

IDE ExtensionAWSCoding AssistantCloudTrial

Amazon Q Developer is AWS's generative AI coding and cloud assistant for the full development lifecycle. It integrates with IDEs, command lines, and the AWS console to provide code generation, unit tests, upgrades, vulnerability remediation, and cloud diagnostics.

Updated

2026-09-15

Platforms

VS Code / JetBrains / Web / AWS Console / CLI

Freemium

Free Tier: available to individual developers signed up with AWS Builder ID, with basic coding, security scanning, and conversational usage.Pro Tier: $19/user/month, with higher usage limits, enterprise IAM controls, IP indemnity, and full access to upgrade and refactoring agent capabilities. Current plan names, quotas, and billing terms should be confirmed on Amazon Q Developer's official pricing page.

* Pricing is for reference only; see the official site for current pricing.

Amazon Q Developer
aws.amazon.com

Key Features

  • Code generation

    Write functions, snippets, and unit tests based on project context and prompts.

  • Code upgrade agent

    Use AI-driven upgrades to move codebases from older Java or dependency versions toward newer targets.

  • Security remediation

    Identify weaknesses and suggest actionable secure changes in the development workflow.

  • AWS guidance

    Connect code work with AWS resources, logs, and deployment guidance inside the ecosystem.

Best For

AWS developers

Ask coding questions, inspect cloud configuration, and diagnose deployment issues directly in the IDE or console.

Enterprise migration teams

Use AI agents to upgrade legacy Java and application codebases more efficiently than manual rewrites.

Cloud-native engineering teams

Generate infrastructure code, secure fixes, and architecture guidance while staying inside the AWS ecosystem.

Pros

  • Strong AWS-native workflow for cloud developers
  • Useful for large-scale legacy modernization
  • Combines code generation, security, and cloud guidance

Considerations

  • Strongest value is inside the AWS ecosystem
  • Advanced upgrade and refactoring features are tied to paid plans
  • AI output still needs technical review for production-critical changes

Related tools

Explore a few similar tools next