GitHub Copilot Agent Mode and MCP: My New Weapon for Efficient Development

I'm always searching for ways to boost efficiency and deliver better code faster. Recently, GitHub Copilot's Agent Mode combined with the Model Context Protocol (MCP) has revolutionized my development workflow. By customizing Copilot's AI responses, I've created specialized AI assistants for different development phases, such as research and planning modes. MCP allows the agent to access external tools and data sources, including search engines, browser automation tools, and the GitHub API. This process involves research, planning, implementation, correction, and validation phases, using custom prompt files to ensure the AI understands my needs and generates high-quality code, ultimately significantly improving my development efficiency and code quality.