Dependency graph

What it means

A dependency graph represents relationships between components. Nodes can be packages, modules, repositories, or services, and edges can distinguish compile-time, runtime, test, or optional dependencies. Teams use graphs to find cycles, identify central components, understand blast radius, and prioritize upgrades. A useful graph states its boundary and dependency type clearly.

Example

If a shared authentication library sits upstream of 40 services, a small API change has broad coordination cost. The graph helps the team identify affected owners and sequence the migration instead of discovering consumers through failed builds.

Limitations

Graphs can become stale, especially when dependencies are generated or loaded dynamically. Centrality is not the same as risk, and a dependency used by many components may be stable and well tested. Validate graph edges against builds and runtime configuration.

How to use the signal

Weave’s Engineering Intelligence can help relate dependency-heavy changes to review queues and delivery time. It does not replace a package manager or service catalog, so preserve the graph’s source and generation date when interpreting the signal.