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Generative AI coding tools are changing the way developers accomplish day-to-day development tasks. From generating functions to creating unit tests, these tools have helped customers accelerate software development. Amazon CodeWhisperer is an AI-powered productivity tools for the IDE and command line that helps improve developer productivity by providing code recommendations based on developers’ natural language comments and surrounding code. With CodeWhisperer, developers can simply write a comment that outlines a specific task in plain English, such as “create a lambda function to upload a file to S3.”
When writing these input prompts to CodeWhisperer like the natural language comments, one important concept is prompt engineering. Prompt engineering is the process of refining interactions with large language models (LLMs) in order to better refine the output of the model. In this case, we want to refine our prompts provided to CodeWhisperer to produce better code output.