$ show multica-ai/multica
Multica is an open-source platform for human-agent collaboration in software development. It provides a unified workspace where teams can assign issues to AI coding agents (Claude Code, Codex, Cursor, etc.), track agent execution with detailed logs and token usage, and review agent-generated work. The platform features issue tracking, project management, real-time chat, and workflow automation through autopilots. Built as a multi-platform application with web (Next.js/React), mobile (React Native/Expo), and desktop (Electron) clients sharing a Go-based backend and PostgreSQL database. The architecture emphasizes extensibility through skills, integrations with Git providers and chat platforms, and a plugin system for custom capabilities.
The LLM identified 5 files worth highlighting for reuse:
A sophisticated internationalization system that separates server-safe i18n from client-side i18n with proper context propagation. Uses i18next with custom providers for locale detection and cookie persistence. Demonstrates non-obvious skill in handling i18n concerns across server/client boundaries while maintaining type safety and minimal bundle impact.
A typed feature flag system with evaluation service and context providers for gradual rollouts. Includes flag definitions, hash-based resolution, and React context providers for client-side consumption. Demonstrates craftsmanship in providing a reusable, type-safe flag system that can be easily extracted and integrated into other applications with minimal configuration.
A real-time synchronization system featuring a broadcaster interface with scope-based messaging and client-side sync hooks. Manages WebSocket connections, message broadcasting, and optimistic updates with automatic cache invalidation. Shows non-obvious skill in designing a scalable real-time architecture that handles complex subscription patterns while maintaining consistency across clients.
A shared UI component library with platform-adaptive primitives used across web, mobile, and desktop clients. Includes accessible components like buttons, inputs, modals, avatars, and tooltips with consistent styling and behavior. Demonstrates high craftsmanship in creating reusable, well-typed components that abstract platform differences while maintaining performance and accessibility.
A workspace-aware path resolution system handling route generation, reserved slugs, and tab presentation. Provides type-safe URL generation and path helpers that workspace-scoped applications require. Shows non-obvious skill in solving the complex problem of multi-tenant routing with proper slug handling, route validation, and navigation state management.