Use Amazon Bedrock to generate, evaluate, and understand code in your software development pipeline

This article discusses how to use Amazon Bedrock, a fully managed service offering high-performing foundation models (FMs) from leading AI companies, to assist developers at various stages of the software development lifecycle (SDLC).

Specifically, the article covers:

• Using a coding assistant to help developers write code faster by providing suggestions
• Leveraging code understanding capabilities of LLMs to surface insights and recommendations
• An automated application generation use case to generate functioning code and automatically deploy changes
• Considerations when choosing a model and approach, such as model selection, customization, and prompt engineering
• Conclusion highlighting the importance of taking advantage of productivity gains from generative AI to stay competitive