The fundamental change brought on by agentic development is to redefine who or what initiates change. In a traditional workflow, it’s the developer to gather context, update and edit code, run tests, and open pull requests. In an agentic workflow, however, some or most of those steps can swiftly be delegated to an AI coding agent operating under instructions, permissions, and context — the same instruments originally in the hand of the developer.
What Is MCP, the Model Context Protocol Powering AI Agents Now