From the course: Accelerate DevOps and Software Development with AI: Modern Tools and Workflows for Enhanced Software Delivery

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Coding project: Speed up Python coding with smart prompts

Coding project: Speed up Python coding with smart prompts

From the course: Accelerate DevOps and Software Development with AI: Modern Tools and Workflows for Enhanced Software Delivery

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Coding project: Speed up Python coding with smart prompts

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- So we just finished planning the validation and error checks for the book service. Now, instead of typing all the boilerplate myself, I'll let AI do the heavy lifting. We'll start with the shape of the class, method names, arguments, return types. Then we'll fill in the details together. So I'm going to use this prompt in Cursor, which says, "Generate a Python class called BookService with four methods: create_book, get_book, list_books and delete_book. Just return type hints and docstrings for now, no implementation." That was insanely fast and that looks pretty good. This is exactly what I meant by boilerplate. The AI saved us about five minutes of typing and helped us standardize docstrings and type hints. Now let's start filling in the actual logic one method at a time. We'll start with the constructor. Every service needs state. We'll store books in a list and keep a counter for the next ID. So I'll now use this…

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