#MCP

Detailed instructions for building a complete AI Agent Platform with xClaw — TypeScript monorepo supporting Multi-LLM, RAG Pipeline, Workflow Engine, 13 Domain Packs, Multi-tenant RBAC, MCP Protocol and 8 Chat Channels. From Dual-Database architecture to deploying Docker production.

Duy TranMarch 30, 202645 min

Comprehensive course on Vibe Coding with GitHub Copilot — from basic concepts to advanced techniques. Learn how to leverage AI Agent, Inline Suggestions, Custom Instructions, MCP Servers, Copilot CLI, and Copilot Coding Agent to accelerate software development. Includes Prompt Engineering for code, security best practices, handling technical debt, building full-stack apps, and professional Vibe Coding processes for production. Updated according to GitHub Copilot 2026 with Agent Mode, Plan Agent, Cloud Agent and the latest features.

A hands-on series on building a complete AI Agent Platform using TypeScript — from monorepo design, LLM Router, Tool Registry, RAG Pipeline, Workflow Engine, Multi-tenant RBAC to deploying Docker production. Learn through the actual source code of xClaw — an open-source platform running in production.

Practical course on building AI Agents — from simple chatbots to complex Multi-Agent systems. Proficient in Function Calling, Tool Use, RAG, MCP, LangGraph, CrewAI and deploying Agent to production. Each lesson is coded hands-on with Python.