It sounds like your approach to configuring and guiding an AI code generator has yielded significant improvements in the quality and consistency of the generated code. Here's a summary and some additional insights based on your findings:
Key Rules That Improved Code Quality
-
Avoiding
anyType- Impact: This rule forces the AI to define proper interfaces and types, which significantly enhances type safety.
- Implementation: Ensure that all types are explicitly defined or use
unknownfor truly unknown types.
-
Using Next.js App Router Exclusively
- Impact: Eliminates confusion between different router APIs and ensures consistency in routing logic.
- Implementation: Prohibit the use of older routing methods like
getServerSidePropsandgetStaticProps.
-
Tailwind CSS for Styling
- Impact: Reduces inconsistency by standardizing on a single styling approach, which also makes code more maintainable.
- Implementation: Ban inline styles, CSS modules, or other styling methods.
-
Early Returns to Reduce Nesting Depth
- Impact: Improves readability and reduces complex nested logic.
- Implementation: Encourage guard clauses for early returns
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