Qodo Gen 1.0: Agentic AI Coding with LangGraph and MCP

Qodo Gen 1.0 introduces agentic workflows in its AI coding and testing IDE plugin, enabling AI to dynamically decide how to navigate complex coding tasks. This was achieved by restructuring the infrastructure using LangGraph for structured workflows and Anthropic's Model Context Protocol (MCP) for standardized external tool integration. The architecture supports asynchronous communication, on-demand context retrieval, and enhanced error handling and reliability, allowing the AI to operate autonomously, retrieve real-time data, and adapt strategies based on tool execution results. LangGraph provides flexibility and control, while MCP simplifies external tool integration. The result is more intelligent automation, an extensible system, and a structured approach to AI autonomy.