pacovilletard/onlydust-wave-qa-6

AI Summary: Implement data privacy compliance features (GDPR, etc.) within an empty QA test repository project. This involves defining and implementing data retention policies, the 'right to be forgotten' functionality, data portability mechanisms, a privacy policy management system, and a consent management system.

AI Summary: Implement internationalization (i18n) support for an empty project, including language detection, translation management, right-to-left (RTL) language support, date/time localization, and currency formatting.

AI Summary: Implement a monitoring and alerting system for an empty project, covering application performance, error tracking, uptime, custom alerts, and a metrics dashboard. This involves setting up the monitoring infrastructure and configuring alerts to provide observability even in the absence of active application components.

AI Summary: Implement a caching strategy for an empty project to optimize performance. This involves integrating Redis, defining cache invalidation strategies, utilizing CDN integration, setting appropriate browser caching headers, and implementing API response caching.

AI Summary: Integrate various third-party services (OAuth providers, payment gateways, email services, analytics platforms, and webhook support) into an existing project, specifically focusing on edge cases related to an empty project state. This involves ensuring the integrations function correctly even when no project data exists.

AI Summary: Develop a mobile-responsive design system for a project, prioritizing mobile-first approach, touch-friendly interfaces, responsive navigation, adaptive layouts, and performance optimization. The project itself is an empty QA test repository, so the design system will be implemented independently.

AI Summary: Implement API rate limiting and throttling mechanisms to prevent abuse. This includes IP-based, user-based, and endpoint-specific limits, along with appropriate rate limit headers and graceful degradation handling for exceeding limits. The context is an empty project, so this will be a new feature.

AI Summary: Implement a robust automated backup system for an empty QA test repository project. This system should include scheduled and incremental backups, verification of backups, restore functionality, and off-site storage.

AI Summary: Implement multi-factor authentication (MFA) for an empty project's QA test repository. This involves supporting TOTP, SMS, email verification codes, backup codes, and remembering trusted devices. Testing should cover edge cases related to an empty project.

AI Summary: Implement advanced search functionality for a QA test repository, including full-text search, date range filtering, category/tag filtering, search suggestions, search history, and result export. This is specifically for an edge case of an empty project, ensuring the search functionality handles this scenario gracefully.

AI Summary: Implement data export functionality for an empty project, allowing users to export data in CSV, JSON, and PDF formats. The functionality should also include scheduled exports and export history tracking.

AI Summary: Create comprehensive API documentation for an empty project, including request/response examples, authentication details, rate limits, error handling, and an OpenAPI/Swagger specification.

AI Summary: Implement a database migration system for an empty project, including a migration runner, rollback functionality, version tracking, and a migration history table. This ensures schema changes can be managed effectively.