AgentJIT is a compiler that traces dynamic LLM agent workflows and converts them into optimized Python code, reducing execution time from seconds to milliseconds and eliminating API token costs for recurring patterns. It works by capturing tool calls on the first run, analyzing data dependencies, and generating type-safe Python pipelines with automatic fallback to the LLM agent if inputs diverge.