Open Issues Need Help
View All on GitHubAI Summary: This issue details the completion of the user authentication system, including fixing indentation errors, simplifying the authentication logic, resolving Pydantic model issues, and passing all 12 tests. The system is now 100% complete and ready for integration testing, with future plans for database integration and security enhancements.
AI Summary: This issue details a comprehensive optimization of CI/CD workflows, specifically to enhance the experience and effectiveness of AI programming tools like Claude Code. It addresses critical problems such as disabled core AI workflows, configuration redundancy, and a lack of AI-friendly feedback mechanisms, outlining a multi-phase plan that has now been completed.
AI Summary: This issue identifies a critical problem with the project's test suite, where a large number of test files (1751) contain very few actual test cases (385) and a low coverage rate (10.12%). The core issues are a focus on quantity over quality, poorly designed tests, and a misunderstanding of coverage metrics. The proposed plan involves phased cleanup, refactoring, and enhancement of tests to reach a target coverage of 80%.