A dependency is a component or relationship another component relies on to function. In practice, dependencies become an engineering concern when they enlarge a delivered package or complicate failure investigation. section 8.4.2 section 10.3.2
Manage dependencies by keeping their role and cost visible:
- Remove unused or accidental direct and transitive dependencies from dependency declarations. section 8.4.2
- Replace a large dependency used for a small helper function with a lighter or custom alternative when that tradeoff is worthwhile. section 8.4.2
- Separate production requirements from development tools, test data, mock files, and internal documentation. section 8.4.2
- When a failure may involve an external dependency, correlate reproduction steps with logs, network traces, metrics, configuration, permissions, and recent changes. section 10.3.2
From dependency sprawl to a focused artifact
A Java application can accumulate a large Maven or Gradle dependency tree, while a JavaScript application can accumulate hundreds of npm packages. Removing unused transitive dependencies, applying tree shaking, and excluding development-only files produces a smaller final package without carrying code the application does not need to run. section 8.4.2
Dependency-aware debugging
If a web form fails, reproduce the problem and follow the evidence. A browser console may point toward the frontend; a network trace showing an HTTP 500 can redirect the investigation to backend logs and the faulty line of code. section 10.3.2
