Amazon CodeWhisperer: AI assistance for coding

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Amazon CodeWhisperer, now known as Amazon Q Developer, is a powerful AI-powered productivity tool designed for developers to enhance their coding experience. This tool offers a wide range of functionalities, including in-line code suggestions, security scanning, open-source license tracking, and more. With CodeWhisperer, developers can generate code suggestions in real time, from snippets to full functions, based on their comments and existing code in the integrated development environment (IDE). It also supports CLI completions and natural-language-to-bash translation in the command line.

One of the key features of Amazon Q Developer is Amazon Q, an interactive, generative AI-powered assistant available in the IDE. Amazon Q provides expert guidance through a simple conversational interface, allowing developers to explain their code, upgrade and migrate applications, receive personalized code suggestions, and more. CodeWhisperer also offers code suggestion filtering to flag publicly available code and enhance code security by scanning for security vulnerabilities and providing remediation suggestions.

This tool supports 15 programming languages, including Python, Java, and JavaScript, and integrates with popular IDEs like VS Code, IntelliJ IDEA, AWS Cloud9, and more. Users can also customize CodeWhisperer to generate more relevant recommendations by incorporating internal libraries, APIs, packages, classes, and methods, thereby accelerating development further.

During a productivity challenge conducted by Amazon, participants who used CodeWhisperer were 27% more likely to complete tasks successfully and did so an average of 57% faster than those who did not use the tool. Amazon Q Developer aims to revolutionize developer productivity by providing advanced AI capabilities to streamline coding processes and improve efficiency.

Amazon CodeWhisperer – Features

AI-powered code suggestions in real time
Interactive AI assistant for expert guidance
Code security scanning and vulnerability detection
Support for multiple programming languages and IDEs
Customization for internal APIs and libraries
Natural language-to-bash translation for CLI
Increased developer productivity (57% faster, 27% more likely to succeed)
Personalized code suggestions for debugging, optimization, and unit tests