yucheng-ou/kaleido-ai

Kaleido is a microservices-based platform that provides an administrative dashboard for managing users, roles, and system configurations. It features specialized services for AI-driven recruitment interviews, content recommendations, and digital wardrobe management. The system also handles core infrastructure tasks such as message queuing, distributed locking, and file storage.

The codebase underwent a significant architectural shift towards domain-driven design, particularly in the user and admin modules, introducing aggregates, repositories, and event-driven processing. Concurrently, the project expanded its feature set with new admin management capabilities, AI agent support, and distributed infrastructure components like SMS and ID generation.

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This period focused on expanding the platform's capabilities by introducing new microservices for AI-driven interviews, messaging, and recommendations, alongside a comprehensive admin backend for user and permission management. The work also established foundational infrastructure for file storage, message queuing, and distributed task scheduling to support these new features.

45 changes

yucheng-ou/kaleido-ai was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.