ENGINEERING

Weekly Outdated-Dependency Risk Digest

On a weekly schedule, list every outdated dependency, score each by changelog severity and how many internal modules import it.

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionList outdated dependencies + version gapsGitHubGitHub
  • ActionRead import-site counts from usage tablePostgreSQLPostgres
  • ActionSummarize changelog risk per packageOpenAI
  • LogicRank by blast radius + severity
  • OutputPost ranked upgrade digest to SlackSlack

What it does

Produces a weekly, prioritized view of upgrade debt. Instead of a flat "42 packages outdated" list, it ranks each stale dependency by a blended risk score: how far behind it is, whether the gap crosses a major version, and how deeply your code depends on it (import-site count pulled from a usage table).

When to use it

For teams doing scheduled maintenance windows who need to decide what to upgrade first. Run it Monday morning so the on-call maintainer starts the week with a clear, defensible upgrade order.

How it works

  1. 1A weekly schedule fires.
  2. 2The flow lists outdated dependencies and their version gaps from the repo.
  3. 3It reads each dependency's internal import-site count from a Postgres usage table.
  4. 4An LLM summarizes the changelog risk (major bump, security note, deprecations) for the top candidates.
  5. 5It computes a ranked score combining version distance, blast radius, and severity.
  6. 6It posts the ranked digest to Slack with the top five upgrades to tackle this week.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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