AI AGENTS
Honeycomb Trace Anomaly to Remediation Proposal with Rollback Plan
When Honeycomb flags a trace anomaly, an agent pulls the offending spans, identifies the likely cause.
How it runs
The automated pipeline, trigger to output.
- TriggerHoneycomb detects trace anomalyHoneycomb
- ActionFetch anomalous spans and service mapHoneycomb
- ActionCorrelate with recent deploysGitHub
- LogicRank likely causes by confidence
- ActionDraft remediation steps with rollback plan
- OutputPost proposal to Slack for approvalSlack
What it does
Turns a raw Honeycomb anomaly trigger into a decision-ready runbook entry. The agent reads the anomalous trace, correlates it against recent deploys and known runbook patterns, and proposes concrete remediation steps — each paired with a rollback action so nothing ships without an undo path.
When to use it
Use it when your on-call rotation gets paged for latency or error-rate spikes and the first 10 minutes are always spent reconstructing what changed. This collapses triage into a single Slack message the on-call engineer can act on or reject.
How it works
- 1Honeycomb fires a trigger for a detected trace anomaly (p99 latency or error spike).
- 2The agent fetches the slowest/error spans and the trace's service map from Honeycomb.
- 3It cross-references recent GitHub deploys to flag the most likely culprit commit.
- 4Decision logic ranks candidate causes by confidence and scopes blast radius.
- 5The agent drafts ordered remediation steps, each with a paired rollback action.
- 6It posts the proposal to Slack with approve/reject buttons for the on-call engineer.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Resolved Incident to Public Troubleshooting Doc
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On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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