Polylane explains Code mode for AI agents

The author explains code mode, an agent design pattern where an AI model writes a small program to call multiple tools and handle results in variables instead of appending every raw tool payload to its conversation context. By executing these scripts in an isolated, network-restricted environment, agents can run parallel calls, filter data efficiently, and catch execution errors locally. The article argues that code mode improves speed and reduces token costs compared to traditional sequential tool calling. Open article →