AI / Dependabot Interview questions
What is the dependency graph in GitHub, and how does it relate to Dependabot?
The dependency graph is GitHub's automatically-generated map of every dependency a repository uses — both direct dependencies (declared explicitly in a manifest file) and transitive dependencies (dependencies of your dependencies) — visible under the repository's "Insights" tab, "Dependency graph" section.
flowchart TD
A[Your Application] --> B[Direct Dependency A]
A --> C[Direct Dependency B]
B --> D[Transitive Dependency of A]
C --> E[Transitive Dependency of B]
This graph is the foundational data Dependabot's other features build on: alerts are raised by checking this graph against known vulnerabilities, and version updates work from understanding what's currently declared versus what's available. Without the dependency graph being populated (which requires GitHub to successfully parse the repository's manifest files), neither alerts nor updates can function correctly.
What does the dependency graph include beyond directly declared dependencies?
What Dependabot features rely on the dependency graph as foundational data?
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