Qwen2.5-coder

The author shares his experience building an efficient AI agent using a small local model, Qwen2.5-Coder-32B. Instead of relying on massive context windows, he employs architectural solutions: task decomposition among sub-agents, external search tools, and structured data delivery, proving that architecture is more important than model size.