Amazon CodeWhisperer

Amazon CodeWhisperer is an AI coding assistant developed by AWS that generates code suggestions, entire functions, and security-aware recommendations based on comments and context. It’s deeply integrated with AWS SDKs and services.
Amazon CodeWhisperer

Overview of Amazon CodeWhisperer

Trained on billions of lines of public and Amazon-authored code, CodeWhisperer helps developers build faster within the AWS ecosystem. It understands natural language comments and produces code across languages such as Python, Java, and JavaScript. Its standout feature is built-in security scanning that detects vulnerabilities like SQL injection and hard-coded credentials. CodeWhisperer works in IDEs such as VS Code, JetBrains, and Cloud9, and offers enterprise features like SSO, data isolation, and policy management. It integrates directly with AWS services (Lambda, S3, DynamoDB), making it ideal for cloud developers.

How to use Amazon CodeWhisperer

Install the AWS Toolkit for your IDE and sign in with your AWS Builder ID. Enable CodeWhisperer from the extensions menu. As you type, CodeWhisperer analyzes your comments and preceding code to generate suggestions. Accept or reject snippets using keyboard shortcuts. Use the ‘Security Scan’ feature to check your project for vulnerabilities and compliance issues. Team accounts can manage model usage and privacy through the AWS Management Console.

What is Amazon CodeWhisperer

Amazon CodeWhisperer is AWS’s intelligent code generator that streamlines development for cloud-based projects. It reduces context switching by embedding AWS API knowledge directly into the IDE. Its emphasis on security and privacy makes it suitable for regulated industries. For teams already in the AWS ecosystem, it provides tight integration and compliance-ready AI assistance.

Video about Amazon CodeWhisperer

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Website

aws.amazon.com


Reviews

Great in AWS projects

October 16, 2025

It knows boto3 calls by heart. Fewer docs trips when wiring S3/Lambda glue.

Alex Carter

Security tips inline

October 9, 2025

Warned me about hardcoded creds and suggested env vars. Solid guardrails.

Maya Thompson

Outside AWS it is fine

September 29, 2025

Generic Python is good, but not as sharp as in AWS land. Still helpful.

Roman Bilous

Good test scaffolds

September 18, 2025

Generated pytest fixtures that actually ran. Saved me setup time.

Ivy Chen
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