Later on, I learned that this practice is called prompt engineering. I was annoyed, but it turns out – I was using it wrong! After more experimentation, I improved my communication methods with GitHub Copilot by providing context, examples, and clear instructions in the form of comments and code. The GitHub Copilot icon would spin to indicate that it's thinking, and then I would receive an incongruent suggestion or no suggestion at all. How were people feeling so successful with these tools, and why weren't they doing what I wanted? For example, I would ask GitHub Copilot to solve a LeetCode problem for me. When I started using GitHub Copilot and other generative AI tools, I felt frustrated because I wasn't receiving the expected results.
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