ENGINEERING

Group Open Dependabot PRs by Blast Radius for Batched Review

Scans all open Dependabot PRs across your repos, computes a blast-radius score for each from version-bump severity and the number of dependent packages touched.

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionList open Dependabot PRs + changed filesGitHubGitHub
  • LogicScore each PR by semver jump and import fan-out
  • LogicBucket PRs into low/medium/high blast radius
  • ActionCompose ranked batched-review digest
  • OutputPost digest to Slack review channelSlack

What it does

Instead of reviewers drowning in one-off Dependabot pings, this collects every open Dependabot PR and sorts them into review batches by blast radius. Patch bumps to leaf dev-dependencies land in a "safe to batch-merge" bucket; major bumps to widely-imported runtime packages get flagged for solo review. The result is one ranked Slack digest your team works through in a single sitting.

When to use it

Run it on a schedule (e.g. every weekday morning) when Dependabot opens more PRs than anyone reviews individually, and patch noise is burying the genuinely risky upgrades.

How it works

  1. 1A daily schedule fires the workflow.
  2. 2GitHub lists all open PRs authored by Dependabot across the configured repos, with their changed files and labels.
  3. 3A scoring step parses each PR's semver jump (patch/minor/major) and counts how many first-party modules import the bumped package.
  4. 4A branch buckets PRs into low / medium / high blast radius from that score.
  5. 5A digest is composed grouping PRs by bucket with merge recommendations.
  6. 6The ranked digest posts to a Slack review channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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