ENGINEERING

Auto-file upgrade issues in consumer repos on a breaking change

When a breaking OpenAPI change merges, looks up consumer repositories per affected endpoint and opens a tracking GitHub issue in each one with the specific breakage, suggested…

CategoryEngineering
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPush to provider main changes the specGitHubGitHub
  • ActionDiff spec and extract broken endpointsGitHubGitHub
  • ActionLook up consumer repos in registryPostgreSQLPostgres
  • LogicSkip consumers with an existing open issue
  • OutputOpen labeled upgrade issue per consumer repoGitHubGitHub

What it does

Closes the loop on breaking changes by creating work where the work needs to happen. After a breaking change merges in the provider repo, it finds every consumer repository that depends on the affected endpoints and files a tailored GitHub issue in each, pre-populated with what broke, the recommended remediation, and a due-date label.

When to use it

Use it when consumers live in separate repos and you want guaranteed, trackable follow-up tasks instead of a chat message that gets lost. Great for enforcing accountability across many downstream teams.

How it works

  1. 1A push to the provider repo's main branch with a spec change triggers the run.
  2. 2The workflow diffs the spec and extracts the broken endpoints.
  3. 3It queries a Postgres registry mapping endpoints to consumer repositories.
  4. 4A branch checks whether each consumer already has an open issue to avoid duplicates.
  5. 5For each remaining consumer it opens a labeled GitHub issue describing the break, the fix, and the deadline.

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
    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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