Amazon Q Developer

Amazon Q Developer is AWS’s coding assistant that provides IDE chat, inline code suggestions, and security scanning, plus CLI autocompletions and console help, with a Free tier and a Pro tier that adds higher limits and advanced features for teams in AWS environments.

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Overview

Amazon Q Developer is a software development assistant from AWS that spans the IDE, the command line, and the AWS console. On the IDE side it offers chat about your code, inline code completions, net new code generation, and scanning for security vulnerabilities, and AWS documentation also describes code upgrades and improvements such as language updates, debugging, and optimizations. For teams modernizing legacy systems, Amazon Q Developer can perform automated upgrades and conversions by generating a transformation plan and producing diffs you review before applying changes.

On the terminal side AWS describes CLI autocompletions and AI chat to help with commands and workflows, and in the AWS console you can open an Amazon Q panel for contextual help. Amazon Q Developer includes a perpetual Free tier with monthly limits and a paid Pro tier with higher usage limits and access to advanced features, so practical evaluation should include your expected request volume and whether you need transformation allocations. Sign-in method matters for Free tier access in different interfaces, with AWS docs outlining how Builder IDs, IAM Identity Center, and IAM credentials map to IDE and CLI availability.

For organizations, the key differentiators are tight AWS integration, security scanning, and transformation tooling, while the main constraints are account governance and making sure prompts and code access align with internal policies.

Key features

  • IDE chat assistant: Chat about code in supported IDEs to get explanations suggestions and guidance using project context
  • Inline code suggestions: Receive code completions and generation while editing to speed implementation and reduce boilerplate
  • Vulnerability scanning: Scan code for security issues inside the IDE to catch risky patterns earlier in the development lifecycle
  • Code transformation agents: Perform automated upgrades and conversions that produce diffs you review before applying changes
  • CLI autocompletions: Get command completion and AI chat guidance in the terminal for local workflows and Secure Shell sessions
  • AWS console help: Open an Amazon Q panel in the console to ask questions and navigate AWS tasks with contextual responses
  • Free and Pro tiers: Use a perpetual Free tier with limits or upgrade to Pro for higher usage limits and advanced features
  • Account-aware access: Free tier interface access depends on sign in method such as Builder ID or IAM Identity Center identity

Best for

  • Write AWS integrations: Ask for SDK usage examples and apply inline suggestions while building services that call AWS APIs
  • Fix security issues: Use vulnerability scan findings to prioritize fixes and generate safer code patterns inside reviews
  • Modernize Java apps: Run transformation workflows to upgrade language versions then review diffs before accepting changes
  • Terminal efficiency: Translate intent into CLI commands with autocompletion support during local and remote development sessions
  • Cloud troubleshooting: Use IDE chat to explain errors then validate by running tests and applying minimal code changes safely
  • In-console guidance: Ask questions in the AWS console panel to locate services and understand configuration steps faster
  • Onboarding to AWS: Learn AWS concepts in context while coding and reduce time spent switching to separate documentation pages
  • Policy-aligned usage: Choose Free or Pro based on limits and ensure sign in method matches how your organization works daily

Capabilities

IDE chat and coding

Use chat and agentic coding inside IDE plugins to explain code, generate changes, and guide implementation. Designed to work in the editor so you can review suggestions in context and apply edits with normal development workflows.

Vulnerability scanning

Scan code for security vulnerabilities and risky patterns during development. This supports earlier detection so teams can address issues before merge, while still requiring human review for correctness and policy alignment.

Code transformation

Automate language and OS-level upgrades and conversions by generating a transformation plan and producing diffs you review. Useful for modernization projects where consistent upgrades and controlled change review are required.

AWS console Q&A

Ask questions in the AWS console panel to diagnose errors and navigate tasks. This complements IDE work by providing contextual guidance while configuring services and troubleshooting cloud resources.

Frequently Asked Questions

How does Amazon Q Developer pricing start?

Amazon Q Developer offers a Free tier with monthly limits. The Pro tier is $19 per user per month and increases limits, adds IAM Identity Center administration features, and includes items such as IP indemnity listed on AWS pricing pages.

What privacy and risk controls are included?

AWS pricing details mention controls like reference tracking and the ability to suppress public code suggestions, plus data collection settings. For regulated environments, confirm what content is sent, retention terms, and internal review requirements.

What integrations and environments are supported?

Amazon Q Developer supports usage in IDE plugins, the command line, and the AWS console. Free tier availability can depend on whether you sign in with Builder ID, IAM Identity Center, or IAM credentials, so validate for your setup.

What setup and support should teams plan for?

Start by installing an IDE plugin or using supported AWS interfaces, then choose Free or Pro and configure identity and policies. Pro is designed for org use with admin dashboards, so plan onboarding and governance as part of rollout.

How does it compare to general coding assistants?

Amazon Q Developer is differentiated by AWS integration, security scanning, and modernization workflows such as transformations. If your work is not AWS-centered, a general assistant may fit, but you may lose AWS-native governance and tooling.

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