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DevOps / Github Interview questions

Why use GitHub's Dependabot instead of manually tracking dependency updates?

Dependabot automatically scans a repository's dependency manifests (like package.json, requirements.txt, or go.mod) against known vulnerability databases and available new versions, then opens pull requests to bump outdated or vulnerable dependencies without a human having to notice the update exists first.

Manually tracking dependency updates across dozens of repositories doesn't scale: someone has to periodically check every ecosystem's advisory feed, cross-reference it against what's actually installed, and remember to do this regularly. Dependabot does that continuously and automatically, and its security-alert path specifically flags dependencies with known CVEs, prioritizing those updates separately from routine version bumps.

The trade-off is PR volume: an active repository with many dependencies can generate a steady stream of Dependabot PRs, which is why most teams configure grouping (bundling minor updates into a single PR) and scheduling (weekly instead of on every new release) to keep the noise manageable.

Dependabot primarily helps by:
A common way teams manage Dependabot PR volume is:

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