DEVOPS

Agent-Driven Perf Budget Triage and Linear Ticket

When a preview deploy fails its performance budget, an agent investigates the diff to identify the likely cause, drafts a remediation plan.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBudget-failure webhook receivedHTTP webhook
  • ActionPull PR diff and package changesGitHubGitHub
  • LogicAgent diagnoses likely regression causeOpenAI
  • ActionOpen assigned Linear ticket with fix planLinearLinear
  • OutputComment summary on the PRGitHubGitHub

What it does

Turns a red performance gate into actionable work instead of just a failing check. When a preview deployment breaches its bundle or Web Vitals budget, an agent pulls the PR diff and dependency changes, reasons about what likely caused the regression, and files a Linear ticket with a prioritized fix plan assigned to the author.

When to use it

Use it when failing checks pile up but nobody knows why a route got heavier. The agent does the first-pass investigation so engineers start from a hypothesis, not a blank console.

How it works

  1. 1A failed-budget webhook from the gate workflow triggers the run with the offending routes.
  2. 2An action pulls the PR's changed files and package diff from GitHub.
  3. 3The agent analyzes the diff against the size delta to identify likely culprits, such as a new heavy import or an unsplit chunk.
  4. 4It drafts a remediation plan with specific suggestions like dynamic import or tree-shaking.
  5. 5It opens a Linear issue assigned to the PR author with the plan and evidence.
  6. 6It posts a short summary back to the PR thread on GitHub.

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 OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  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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