
AWS AI code suggestion tool with real-time completions, security scanning, and AWS API awareness, free for individual developers via Amazon Q Developer.
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AWS AI code suggestion tool with real-time completions, security scanning, and AWS API awareness, free for individual developers via Amazon Q Developer.
Category
Assistant Code
Amazon CodeWhisperer's Individual tier is free with unlimited code suggestions and 50 security scans per user per month. The Professional tier is $19 per user per month and adds administrative controls, higher scan limits, and reference tracking.
| Plan | Details |
|---|---|
| Free | Individual tier is free with unlimited AI code suggestions and 50 security scans per user per month. Requires an AWS Builder ID. No credit card required for the Individual tier. |
| Paid | Professional tier at $19 per user per month adds organizational policy management, an administrator dashboard, higher security scan limits, and reference tracking for open-source license attribution. Billed through AWS. |
Quick Summary
Amazon CodeWhisperer is an AI code suggestion tool from AWS, now integrated into Amazon Q Developer, that delivers real-time inline code completions within popular IDEs including Visual Studio Code, JetBrains IDEs, and AWS Cloud9. It is designed for developers building on AWS services who want AI-assisted code generation grounded in AWS APIs and best practices, alongside general programming support across multiple languages. The individual tier is available at no cost and requires an AWS Builder ID to activate.
Associated Tags
AWS code suggestions, AI code completion, IDE AI integration, Amazon Q Developer, security code scanning
Discover practical workflows and real-world scenarios where Amazon CodeWhisperer delivers key solutions.
Generating AWS SDK integration code for Lambda, DynamoDB, or S3 from a descriptive comment in the IDE
Accelerating boilerplate generation for common AWS service patterns without consulting documentation for each API call
Running security scans on existing code to identify vulnerability patterns before code review or deployment
Setting up organizational AI code suggestion policies across a developer team using the Professional tier admin dashboard
Using multi-line suggestions to implement standard backend patterns in Python or Java with AWS service dependencies
Checking open-source license attribution for AI-generated suggestions on Professional tier to manage compliance risk
Reviewed by Sohail Akhtar
Lead Editor & Founder
What we like
Limitations
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