Dependabot Configuration and Optimization

3 posts · Dec 2019 – Jul 2026

What this trail covers

This feature thread tracks the evolution of Dependabot's capabilities and how engineers configure it to manage dependency updates effectively. Initially, the focus was on basic version bumping. This post details improvements to Dependabot's configuration to reduce noise and improve efficiency by introducing grouping of updates into monthly batches per ecosystem, and leveraging a default package cooldown period before issuing version updates. It also covers consolidating updates across multiple directories in monorepos and ensuring all relevant package ecosystems are configured.

All GitHub trails

Jul 2026Tame Dependabot: Group your updates, slow the cadence, keep security fastThis post details how to configure Dependabot to reduce noise and improve efficiency by grouping dependency updates into monthly batches per ecosystem using the `groups` block with a wildcard pattern. It also explains how to set the `schedule.interval` to 'monthly' (or 'weekly') and how to ensure all relevant package ecosystems (e.g., maven, npm) are configured. The post highlights that security updates remain separate and are not affected by these version update configurations. Additionally, it introduces the default package cooldown period (3 days) before version updates are issued, which can be configured via the `cooldown` option, and discusses consolidating updates across multiple directories in monorepos using `directories` and `group-by: dependency-name`.
May 2022How we use Dependabot to secure GitHubThis post details the internal rollout strategy for Dependabot at GitHub. It covers the measurement of existing Dependabot alerts using the GraphQL API, a three-stage rollout process (measure, staged rollout, remediation), and integration with internal tools like the Service Catalog and Engineering Fundamentals program for prioritizing and tracking dependency remediation. The post also discusses communication strategies for engineers and the use of the 'Automatically enabled for new repositories' feature.
Dec 2019Behind the scenes: GitHub vulnerability alertsThis post details the technical implementation of GitHub's security vulnerability alerts feature. It explains the process of building and maintaining the dependency graph by parsing manifest files and fetching package information from registries. It also describes the aggregation and curation of vulnerability data from various sources (NVD, maintainer advisories, community data, WhiteSource), including the use of a machine learning model for filtering and a manual curation process for mapping vulnerabilities to specific packages. The post also covers the mechanism for notifying users about affected repositories and the synchronization process for GitHub Enterprise Server.
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