Develop serverless applications with Amazon Q Developer (SVS213)
Leveraging Amazon CodeWhisperer to Accelerate Application Development
Introduction
The presenter, Michelle Chisman, a Senior Solutions Architect at AWS, demonstrates how Amazon CodeWhisperer can help developers meet deadlines and write code in unfamiliar languages.
Amazon CodeWhisperer Overview
Amazon CodeWhisperer is a large language model (LLM) assistant that can be integrated into your IDE, like Visual Studio Code or JetBrains IDEs.
It offers several features to help developers, including:
Live chat interface to ask questions and get step-by-step instructions
Agents that can directly modify code, create new files, and delete files
Ability to explain code, refactor, and fix issues
Building a Python Application with CodeWhisperer
The presenter demonstrates how to use the "Dev" agent to quickly build a Python application that deploys to AWS using the Serverless Application Model (SAM).
The agent generates the necessary files, including the Python code and the SAM infrastructure-as-code file, with minimal input from the user.
The application is then deployed using the AWS SAM CLI, with the agent handling the deployment process.
Documenting the Application
The presenter shows how to use the new "Doc" agent to automatically generate a README file for the application, including a file tree, explanation of each file, and instructions for usage and deployment.
This feature helps address the common problem of undocumented code, saving developers time and effort.
Testing the Application
The presenter demonstrates the "Test" agent, which can automatically generate unit tests for the application's Lambda function.
While the generated tests had some issues, the presenter highlights the value of having a starting point for writing tests, especially for developers unfamiliar with testing frameworks.
Key Takeaways
Amazon CodeWhisperer can significantly accelerate the development process, especially for tasks like building applications, documenting code, and writing unit tests.
The agents within CodeWhisperer can perform complex tasks on the developer's behalf, reducing the manual effort required.
Developers should still sanity-check the output from CodeWhisperer, as the language model may not always have complete context or make perfect decisions.
CodeWhisperer is a powerful tool that can complement a developer's existing skills and workflows, but it should be used judiciously and with appropriate oversight.
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