swe-programming-dart

You can standardize Dart code quality for AI agents by applying repo-specific coding standards that enforce naming conventions, null safety, and error handling. This ensures generated code adheres to project requirements instead of generic best practices.

To enforce Dart 3.0+ null safety compliance, apply mandatory null safety rules tailored to your project. This ensures generated code follows strict typed error handling and required safety patterns for robust application logic.

Yes, the Skill works with Flutter frontend, server-side shelf APIs, and domain logic implementation. It applies context-aware guidelines for framework integration, ensuring standards are relevant to the specific development task.

The best way to achieve 95% test coverage is to enforce mandatory testing requirements through standardized coding guidelines. This ensures AI-generated repository classes and services meet project-specific coverage thresholds.

AI agents generate inconsistent Dart code because they default to generic best practices instead of repo-specific conventions. Applying targeted coding standards ensures consistent file naming, typed exception hierarchies, and async practices.

Yes, you can use context-aware guidelines for DDD, concurrency, performance, and security. These optional standards apply only when relevant to the task, ensuring specialized logic follows project-specific architectural patterns.