{
  "id": 3588164,
  "title": "GitHub Copilot app for Beginners: Automate Dependabot pull request triage",
  "url": "https://urgent.news/2026/08/26/github-copilot-app-for-beginners-automate-dependabot-pull-request",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-26T20:12:53.000Z",
  "source": {
    "name": "GitHub Blog",
    "slug": "github-blog",
    "url": "https://github.blog/ai-and-ml/github-copilot/github-copilot-app-for-beginners-automate-dependabot-pull-request-triage/"
  },
  "original_language": "en",
  "account": "Dependabot is a valuable tool for maintaining project security by frequently reviewing and requesting updates to libraries. However, the constant flow of pull requests can be overwhelming, often leading to major version upgrades that may introduce breaking changes. To streamline this process, the GitHub Copilot app offers an automation feature. This automation allows developers to offload the initial review of Dependabot pull requests, grouping them by risk, checking CI status, and summarizing the recommended next steps.\n\nTo set up this automation, one can follow a series of steps within the GitHub Copilot app. Firstly, a new automation is initiated, which requires naming it descriptively like 'Daily Dependabot Triage' and setting the trigger for it to run. Common choices include running it daily to prepare for the workday or scheduling it at a specific time. The automation can either run in the cloud or locally on the developer's machine.\n\nOnce configured, the automation is tasked with reviewing open Dependabot pull requests. Using natural language input, you specify actions such as grouping updates by risk, identifying safe patch and minor version upgrades, confirming CI passes for each pull request, and summarizing recommended actions. Users can customize these prompts to align with their team's workflow.\n\nAfter creating the automation, you can either create and run it to test its effectiveness or wait for the scheduled run. Upon completion, the results are summarized rather than listing individual pull requests. For instance, it groups safe patch updates, distinguishes between minor and major version upgrades, highlights passing CI results, and points out dependencies needing extra scrutiny.\n\nThis approach allows developers to focus on critical decisions rather than being bogged down by numerous small choices. If a highlighted update requires further attention, the developer can start a new Copilot session with the automation's context to continue working on the task. All runs are saved, providing a transparent history of automation performance and results, which aids in understanding and verifying the system's operation.\n\nAutomating repetitive tasks like Dependabot triage not only saves time but also leverages Copilot's capabilities to handle routine work, freeing up human expertise for more complex decision-making processes.",
  "summary": "Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task. The post GitHub Copilot app for Beginners: Automate Dependabot pull request triage appeared first on The GitHub Blog .",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}