I Built a Multi-Agent AI System with Qwen3.5 9B (Autonomous Coding Agents)

Description

In this video, I demonstrate how to build a multi-agent AI framework powered by Qwen3.5 9B, one of the most capable open-source models for reasoning, coding, and tool use. We will explore how a main orchestrator agent coordinates multiple sub-agents to complete complex development tasks automatically. The system uses structured prompts, tool calling, and task routing to enable agents to collaborate on coding workflows. Topics covered: Designing a multi-agent architecture Orchestrating planner, coder, and reviewer agents Running Qwen3.5 9B on runpod with vLLM Handling tool calls and task delegation Scaling agents for real software projects This approach enables AI coding assistants that can plan, implement, and refine code autonomously. Perfect for developers interested in: AI agents autonomous coding systems LLM orchestration frameworks building production AI tools