Beyond More Context: Why Dependency Graphs Are the Answer for AI Code Agents

AI agents excel at local code tasks but struggle with global reasoning—understanding impact, dependencies, and risks across codebases. Rather than feeding agents more tokens and context, the key is providing high-quality, structured information: dependency graphs, call relationships, and control flow. By representing code facts as graphs, developers can dramatically improve both agent accuracy and token efficiency, turning reasoning problems into tractable graph algorithms.