ENGINEERING

Open Linear Tickets for High-Blast-Radius Dependency Bumps

When Dependabot opens a PR, it evaluates the upgrade's blast radius and, only for major or runtime-critical bumps.

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDependabot opens a PR (webhook)GitHubGitHub
  • LogicFilter out patch-only dev-dependency bumps
  • ActionFetch manifest diff and release notesGitHubGitHub
  • LogicResolve owning team and confirm high blast radius
  • ActionCreate routed Linear issue with contextLinearLinear
  • OutputPost Slack heads-up linking the ticketSlack

What it does

Low-risk Dependabot PRs should merge quietly; high-risk ones deserve real engineering attention. This workflow triggers on each new Dependabot PR, judges its blast radius, and for major or runtime-critical upgrades it spins up a Linear issue routed to the team that owns the affected code, pre-filled with the changelog diff and the list of internal modules that import the package.

When to use it

Use it when major dependency bumps keep slipping through as unreviewed merges, and you want risky upgrades to become tracked, owned work in Linear with proper QA before merge.

How it works

  1. 1A GitHub webhook fires when Dependabot opens a PR.
  2. 2A filter discards bot PRs that are patch-only bumps to dev dependencies.
  3. 3For the rest, GitHub fetches the package manifest diff and the changelog/release notes.
  4. 4A logic step maps the bumped package to its owning team via a CODEOWNERS lookup and confirms it is a major or runtime dependency.
  5. 5A Linear issue is created on the owning team with blast-radius summary, changelog, and affected modules.
  6. 6The PR gets a Slack heads-up linking the new Linear ticket.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.