Cursor Rules for Java: 6 Rules That Make AI Write Production-Grade Java

This article discusses 6 rules for using AI assistants like Cursor or Claude to write better Java code that passes code review. The rules cover topics like constructor injection, exception handling, and avoiding anti-patterns.

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Why it matters

These rules help AI assistants generate Java code that is more aligned with industry best practices, making it easier for developers to integrate the AI-generated code into their production systems.

Key Points

  • 1Enforce constructor injection and ban field injection
  • 2Handle checked exceptions properly instead of swallowing them
  • 3Avoid services with too many constructor parameters and use interfaces
  • 4Use records or value objects instead of raw HashMap
  • 5Prefer constructor injection over field injection
  • 6Write code that follows Java best practices and passes code review

Details

The article highlights common issues with AI-generated Java code, such as silently swallowing checked exceptions, using services with too many constructor parameters, and relying on field injection instead of constructor injection. It then presents 6 rules that can help AI assistants generate Java code that is more production-ready and adheres to best practices. These rules include enforcing constructor injection, handling exceptions properly, using records or value objects instead of raw HashMap, and avoiding anti-patterns like excessive constructor parameters. By following these rules, developers can ensure the AI-generated Java code is maintainable, testable, and passes code review the first time.

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