AI Tool

Amazon Q Developer pricing, features, company info, and alternatives

A factual product page for Amazon Q Developer as AWS's coding and operations assistant.

Categories coding, developer tools, assistant

Starting price $19/user/month

Company Amazon Web Services

Verified Apr 11, 2026

Visit Amazon Q Developer Read our review

Pricing

Current public pricing tiers on file for Amazon Q Developer, last verified Apr 11, 2026.

Free

$0 / month

Pro

$19 / user/month

AWS lists Pro at $19 per user per month.

Core Features

The main capabilities that shape how people use Amazon Q Developer today.

Conversational coding help inside IDEs and the command line.

AWS console assistance for architecture, cost, and service questions.

Code review and transformation workflows for maintenance and refactors.

Slack and Microsoft Teams support for AWS-oriented collaboration.

Best Fit

Who Amazon Q Developer is most clearly built for.

Developers who build and operate on AWS.

Teams that want AWS-aware guidance inside their editor and terminal.

Engineers doing code review, refactors, and modernization work.

Platforms

Where you can use Amazon Q Developer today.

IDE

CLI

AWS console

Slack

Microsoft Teams

Privacy Notes

Publicly stated data-handling notes that matter when evaluating Amazon Q Developer.

Amazon Q Developer is built on Amazon Bedrock and inherits Bedrock controls.

Product Snapshot

Amazon Q Developer is AWS’s AI assistant for software development and AWS operations. It lives inside IDEs, the command line, and AWS console surfaces rather than functioning as a separate general-purpose chatbot.

What You Can Do With It

Generate and transform code inside supported IDEs and the CLI.
Ask AWS-specific questions about services, architecture, and costs.
Use conversational help for code review and maintenance tasks.
Work across AWS-oriented surfaces such as the console, Slack, and Teams.

Why It Stands Out

Amazon Q Developer is most useful when the work is already AWS-centered. The product is built to understand AWS services and developer workflows, which makes it feel more specialized than a generic assistant.

Tradeoffs To Know

It is narrower than a general chat assistant outside AWS-heavy workflows.
The strongest value shows up when your stack already uses AWS tools and services.
Teams that do not live in AWS will usually get less from it than from a broader assistant.