Why it matters
- Deep AWS service knowledge makes Q Developer the best coding assistant for teams building AWS-native applications and infrastructure.
- AWS security scanning built into the coding assistant catches IAM misconfigurations, insecure bucket policies, and other AWS-specific vulnerabilities inline.
- Amazon Q Business's 40+ enterprise data connectors (SharePoint, Confluence, Salesforce, S3) is the broadest pre-built connector library for enterprise AI knowledge bases.
- Native AWS integration means Q operates within existing AWS security controls, VPC networking, and IAM permissions — critical for enterprise compliance.
Key capabilities (Q Developer)
- Code completion: AI code completion in VS Code, JetBrains, and other IDEs.
- AWS-aware suggestions: Deep knowledge of AWS SDKs, CloudFormation, CDK, SAM, Terraform for AWS.
- Security scanning: Detect vulnerabilities in code and AWS infrastructure as code (IaC).
- Code transformation: Upgrade Java 8 → Java 17, migrate .NET Framework to .NET Core.
- Q in the console: Ask AWS questions directly in the AWS Management Console.
Key capabilities (Q Business)
- Enterprise Q&A: Answer employee questions from connected internal documents.
- 40+ connectors: SharePoint, Confluence, S3, Salesforce, ServiceNow, Slack, Teams, Jira, and more.
- Document-level permissions: Answers respect IAM/document access controls.
- Slack and Teams: Deploy Q Business as a chatbot in existing messaging platforms.
Technical notes
- Q Developer: VS Code, JetBrains, AWS Console, CLI; replaces CodeWhisperer
- Q Business: Web UI, Slack, Microsoft Teams; 40+ data source connectors
- Pricing: Q Developer Free; Q Developer Pro $19/user/mo; Q Business Lite $3/user/mo; Q Business Pro $20/user/mo
- Data residency: Runs on AWS; data stays in your AWS account (Q Business)
- Compliance: FedRAMP, SOC 2, HIPAA eligible for Q Business
Ideal for
- AWS-heavy engineering teams who need AI coding assistance with deep AWS service knowledge.
- Enterprises on AWS who want an internal knowledge chatbot that respects existing IAM permissions.
- Organizations with strict data residency requirements that prevent using non-AWS AI services.
Not ideal for
- Teams who primarily use GCP or Azure — Azure Copilot and Google Workspace AI are better integrated.
- General-purpose AI coding without AWS focus — GitHub Copilot or Cursor have better general coding quality.
- Small teams — Q's pricing and complexity are optimized for enterprise scale.
See also
- GitHub Copilot — More versatile AI coding assistant; better for general development.
- Amazon CodeWhisperer Pro — Q Developer's predecessor; now folded into Amazon Q.
- Cursor — AI IDE for complex multi-file coding; better for general software engineering.