ENGINEERING

Agent-written impact summary for a breaking spec change

When a breaking API change is detected, an agent investigates which consumers and call sites are affected, drafts a plain-English migration impact summary.

CategoryEngineering
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBreaking change detectedHTTP webhook
  • ActionSearch consumer repos for affected call sitesGitHubGitHub
  • ActionDraft migration impact summary
  • LogicAt least one consumer affected?
  • OutputFile triage issue with impact summaryLinearLinear

What it does

Takes a detected breaking change and produces the human-readable analysis a reviewer would otherwise write by hand. An agent reads the spec diff, searches consumer codebases for call sites hitting the changed endpoints, estimates blast radius, and proposes a migration path.

When to use it

Use this when breaking changes are unavoidable and the real cost is the manual investigation: who calls this, how hard is the migration, what's the rollout order. The agent does the legwork and hands the platform team a ready-to-triage issue instead of a raw diff.

How it works

  1. 1A detected-breaking-change webhook triggers the run with the changed paths.
  2. 2The agent fetches the spec diff and searches consumer repositories on GitHub for matching call sites.
  3. 3It groups call sites by service and ranks them by migration effort.
  4. 4It drafts an impact summary: affected services, sample call sites, suggested migration steps, and a recommended deprecation window.
  5. 5A logic step confirms at least one real consumer is affected before filing.
  6. 6It creates a Linear issue with the summary and links to each call site.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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.

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