Automated Code Specification Assurance Program
Flycount JavaAI ensures code quality through a three-fold mechanism:
- Preflight Optimization: automatically performs (1) naming convention conversion (user_id → userId) (2) comment completion (method-level JavaDoc) (3) directory structure standardization (following Maven conventions) when generating code
- dynamic correction: Support for follow-up dialog commands such as "Simplify POJO with Lombok", where the AI rewrites the existing code while preserving the business logic.
- compliance check: built-in Alibaba Java Development Manual rule set, automatically avoid magic values, duplicate code and other issues
Advanced Tip: You can customize the specification template in the plugin settings, such as requiring all Service classes to add @Transactional annotations, or forcing the use of specific exception handling patterns. For team projects, it is recommended to submit the AI-generated code to a separate branch first, and then merge it after confirming that the specification is up to standard through Code Review.
This answer comes from the articleFlycount JavaAI: Generate Complete Java Project Code in One SentenceThe
May not be reproduced without permission:AI productivity tools " How to Optimize Code Specification Consistency for New Projects with Flycount JavaAI?
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