check-cross-layer

To check cross-layer consistency, you validate data flow and import paths across API, service, database, and UI layers. This ensures your code changes maintain integrity and avoid common post-implementation pitfalls like broken dependencies.

Cross-layer analysis is the process of validating code modifications across multiple application layers. It checks data flow consistency, code reuse patterns, and import paths to ensure changes in one layer do not break functionality in another.

You validate data flow consistency by analyzing the codebase to trace data across UI, utility, service, API, and database layers. This identifies mismatches in display logic, formatting, or data handling early in the review process.

Yes, you can detect circular dependencies and repeated code patterns by validating import paths and analyzing code reuse. The analysis suggests improvements for repeated patterns and ensures correct dependency routing throughout the software architecture.

Yes, cross-layer code review works without specific framework dependencies because it analyzes the structural integrity of the codebase itself. It validates import paths and data flow directly within your project files regardless of the underlying platform.

You should run a post-implementation cross-layer check immediately after completing code changes and before final code review. This catches same-layer consistency issues and data flow mismatches early, ensuring all dimensions of the change are thoroughly verified.