Tracking Prompts in Software Development (2.4)
In this video, we explore the role of prompts in software development, focusing on how they can be used to generate consistent, non-trivial functions, like an image cropping function in Python. We demonstrate the importance of clearly defining prompts to ensure that the generated code meets specific requirements and performs reliably over time. Additionally, we show how to embed prompts within the source code to maintain a record of them, making it easier to track changes and regenerate code if needed.
We also delve into the use of automated unit tests to validate the generated code. These tests are crucial for ensuring that the code functions as expected and remains stable, even if it is regenerated in the future. The video includes practical examples, such as generating and testing a Python function that clips an image while handling boundaries and filling in missing areas. By the end of this video, you'll have a clear understanding of how to leverage prompts for consistent code generation and the importance of unit testing in this context.
Code for This Video:
https://github.com/jeffheaton/app_gen...
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