Fast Agentic Search (FAS) Cuts Code Search Time 4× with Claude-Level Accuracy: A Deep Dive

4× Faster Code Search with Claude-Level Accuracy: Deep Dive into Relace AI’s Fast Agentic Search (FAS) Featured Snippet Answer (67 words): Fast Agentic Search (FAS) is a specialized small agent model released by Relace AI that dramatically accelerates codebase navigation. By combining parallel tool calling (4–12 files at once) with on-policy reinforcement learning, FAS achieves the same precision as traditional step-by-step Agentic Search while being 4× faster. Real-world SWE-bench integration shows 9.3% lower median latency and 13.6% fewer tokens. If you’ve ever watched an AI coding assistant spend two full minutes just “looking for the right file” in a 5 …