A Claude Code and Cursor plugin that delivers behavioral guidelines for AI coding assistants, derived from Andrej Karpathy's observations about LLM coding pitfalls. The core artifact is a single CLAUDE.md file (and its Cursor rules equivalent) encoding four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. The repository packages this file as a Claude Code plugin with marketplace metadata, a Cursor project rule with alwaysApply, and a reusable skill definition. The EXAMPLES.md file provides detailed before/after code examples demonstrating each principle. The entire functional surface is documentation-as-configuration — there is no application logic, data processing, or runtime code. The plugin packaging is clean with proper marketplace.json and plugin.json manifests. The Cursor rule is correctly structured with frontmatter. The examples are concrete and well-annotated, showing realistic LLM mistakes and corrections. The Chinese README translation is a nice touch for accessibility. This is essentially a configuration and documentation project that delivers genuine value through carefully crafted AI assistant instructions.

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.