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Honeycomb Regression to Auto-Drafted Revert PR with Reviewer Tag

When Honeycomb ties an anomaly to a specific deploy, the agent identifies the offending commit and opens a draft revert pull request on GitHub with the trace evidence.

CategoryAI Agents
EngineSim + Paperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHoneycomb anomaly tied to deploy markerHoneycomb
  • ActionFetch regression spans and suspect SHAHoneycomb
  • LogicConfirm delta exceeds rollback threshold
  • ActionOpen draft revert PR with evidenceGitHubGitHub
  • OutputNotify author and on-call in SlackSlack

What it does

When a performance or error regression traces cleanly back to one commit, the agent prepares the rollback as a ready-to-merge revert PR rather than a vague alert. The PR description carries the Honeycomb evidence so a reviewer can approve in seconds.

When to use it

Use it when regressions are usually deploy-induced and the fastest safe path is reverting, not patching forward. Best for teams that want a human to click merge but don't want to hand-assemble the revert under pressure.

How it works

  1. 1Honeycomb fires when an anomaly correlates with a deploy marker.
  2. 2The agent pulls the regression window's spans and the suspect deploy SHA.
  3. 3Logic confirms the SHA's error/latency delta exceeds the rollback threshold.
  4. 4It creates a draft revert PR on GitHub, embedding the trace links and metric deltas.
  5. 5It requests review from the commit author and the on-call owner.
  6. 6It sends a Slack message linking the PR with a one-line risk summary.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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