Beyond RAG: Why AI Agents are Searching Code Like Humans Do

While RAG was once the universal fix for AI context, the focus for code is shifting toward agentic retrieval that mimics developer workflows. By leveraging structural tools like grep and symbol mapping instead of just semantic similarity, modern agents achieve higher precision in complex codebases.