A library or managed service can save substantial effort. It also introduces assumptions about compatibility, availability, and how a change will be delivered. Choosing it means accepting a relationship that continues after the first integration.

Keep a short explanation of the job each important dependency performs. Record how it is configured, where its documentation lives, and which behavior would reveal a problem. That context helps a future maintainer judge an update without starting from nothing.

Review the dependencies around a real application path. A component earns its place through the work it removes and the behavior it supports. A longer list does not make a system more capable by itself.

An example to consider.

A small application may inherit several tools through one library. Reviewing that relationship helps distinguish a required capability from a convenience that has outgrown its purpose.

Put it in perspective.

Ask what a future operator would need during an interruption. A useful description connects the symptom, the affected work, and the next safe action.
A few starting points
  1. Record the purpose of an important dependency.
  2. Keep its configuration and documentation discoverable.
  3. Verify updates through a real application task.

Follow a related question

Inspect the source and measurement method.

An outlier is a question first

Define the understood inputs.

Where automation should hand back

Keep learning

Related background to continue exploring this subject.

npm: understanding semantic versioning Git: version control fundamentals
Make room for ideas