DEVOPS

AI Deploy-Risk Reviewer for Release Candidates

On a release candidate, an agent reads the changelog, pulls related incidents and code-owner history.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRelease candidate cut (webhook)HTTP webhook
  • ActionPull changelog and commit historyGitHubGitHub
  • ActionCorrelate touched modules with past incidentsSentrySentry
  • LogicReason over scope, ownership, incident overlap
  • OutputWrite risk review into release ticketLinearLinear

What it does

This agent-driven workflow produces a human-readable deploy-risk review for a release candidate: it reads the changelog, correlates each change with past incidents in the same area, considers code ownership and recent churn, then writes a reasoned assessment and a recommended rollout plan into the release ticket.

When to use it

Use it when raw diff metrics aren't enough and you want a judgment-style review — the kind a senior engineer would write — to accompany higher-stakes releases.

How it works

  1. 1A webhook fires when a release candidate is cut.
  2. 2The agent pulls the changelog and commit history from GitHub.
  3. 3It queries Sentry for prior errors and incidents tied to the touched modules.
  4. 4It reasons over change scope, ownership, and incident overlap to assess risk.
  5. 5It drafts a narrative assessment with a canary, staged, or full-rollout recommendation.
  6. 6It writes the review into a Linear release ticket for sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect HTTP webhookTrigger any URL on agent actions.
  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.

Run this workflow in your colony.

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