AWS-native AI coding assistant with deep integration for IAM, CloudFormation, CDK, and Terraform patterns.
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| Tier | Price | Includes |
|---|---|---|
Free | Free | 50 agentic requests/month (chat + agentic coding combined across IDE and CLI), 1,000 LOC/month for Java upgrades, access to latest Claude models, AWS Console chat |
Pro | $19/seat/mo | — |
What it does Amazon Q Developer is AWS's native AI coding assistant. It provides chat, agentic coding, code completions, AWS Console diagnostics, and "transformation" agents that upgrade legacy Java and .NET codebases. Available in VS Code, JetBrains, Visual Studio, the AWS Console, and the CLI.
Who it's for Developers and platform engineers building primarily on AWS — especially teams writing IaC (CloudFormation, CDK, Terraform), Lambda functions, API Gateway integrations, and IAM policies — who want AI suggestions that are aware of AWS's service taxonomy and their own account context.
How platform engineers use it Use Q Developer in the IDE for IaC work — Q drafts CloudFormation/CDK/Terraform with the correct service references and IAM permissions. Use the AWS Console chat to triage failures (Q reads the error and CloudWatch context and proposes fixes). Run the Java/.NET transformation agent for legacy upgrades — submit a module, get back upgraded code. Hit the CLI for terminal-native agentic work and shell commands. For Pro tier, IAM Identity Center provides centralized admin and per-user usage tracking; Free tier works with an AWS Builder ID for individual use.
Strengths
Limitations
AI maturity AI-enhanced rather than AI-native. The product is built around AWS-trained models plus access to leading third-party models (the docs reference "latest Claude models" on the Free Tier). The AWS context grounding is the differentiator, not the model. Treat it as the AWS-flavored entrant — strong inside the walled garden, average outside it.
