A file-dependency graph gives a structural starting point for reading code.
What the Graph Represents
Nodes represent analyzed files. Directed edges represent imports that resolve to another file in the repository. Incoming relationships show importers; outgoing relationships show imported files. Transitive relationships follow multiple import edges.
Unresolved imports, dynamic loading and unsupported syntax can leave gaps. The graph describes the analyzed revision, not a continuously observed production system.
Read With a Question
Choose a question such as “Which files import the authentication module?” Open the relevant file, inspect its exports and follow a resolved import. Return to the source to check what the imported code actually does.
Files with many importers can be useful reading landmarks. Files without incoming imports are not automatically dead code: they may be entry points, dynamically referenced or invoked externally.
Before a Change
Inspect dependents when changing a file’s exported interface. A dependent count suggests a review scope; it does not predict which code will break.
Circular import relationships and long chains are structural signals, not proof of a defect. Evaluate them against the code and project conventions.
Beyond the Graph
The graph does not establish cross-file function calls, runtime paths, test coverage or the reasons behind architectural decisions. Build understanding with source reading and conversations alongside the map.
Xolvyn makes these relationships explorable in the browser, with files and security findings nearby.