You are developing a Python application that processes large datasets. GitHub Copilot suggests several potential code optimizations to improve performance. Based on these suggestions, which of the following proposed changes is the best way to optimize your code's performance?
You are developing an e-commerce web application using GitHub Copilot and need help writing a complex function to calculate shipping costs based on multiple factors like weight, distance, and delivery speed. You first use a prompt that says, “write a function to calculate shipping costs,” but the result is overly simplistic and doesn’t account for all the necessary factors. You realize that prompt engineering is necessary to get a more sophisticated code suggestion. Which of the following prompt strategies is most likely to help you generate a comprehensive shipping cost calculation function with Copilot?
A software development team wants to assess the productivity impact of using GitHub Copilot in their daily workflow. They have been using GitHub Copilot for a few weeks and now want to use GitHub’s Productivity API to track metrics related to Copilot’s influence on coding activities. They are particularly interested in understanding the percentage of code suggestions accepted by developers and the time saved by using Copilot. Which of the following is the correct approach to use the GitHub Productivity API for tracking Copilot’s impact on developer productivity?