AI AGENTS
Weekly Honeycomb SLO Burn to Experiment Backlog Agent
On a weekly schedule, the agent reviews the slowest and most error-prone Honeycomb traces of the week, ranks the top contention candidates.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts the review
- ActionQuery Honeycomb top traces by SLO burnHoneycomb
- LogicCluster and rank offenders by impact
- ActionAgent drafts ranked load-test experiments
- ActionCreate prioritized Linear backlog issuesLinear
- OutputPost weekly burn digest to SlackSlack
What it does
Runs a standing weekly review so latency debt never accumulates silently. The agent pulls the week's worst-offending traces from Honeycomb, clusters them by likely cause, and produces a ranked list of load-test experiments worth running — each with a hypothesis and expected signal.
When to use it
Use it when no single anomaly is alarming but cumulative SLO burn is creeping up. Good for platform and SRE teams that want a recurring, evidence-backed experiment backlog rather than ad-hoc firefighting.
How it works
- 1A weekly schedule kicks off the review every Monday morning.
- 2The agent queries Honeycomb for the top traces by SLO burn, p99 latency, and error count over the trailing seven days.
- 3It clusters the offenders and ranks them by user impact and reproduction confidence.
- 4For each top candidate the agent drafts a load-test experiment: target, hypothesis, ramp, and the metric that would confirm it.
- 5It creates one Linear issue per experiment in a dedicated backlog, ordered by priority.
- 6It posts a digest to Slack summarizing the week's burn and the experiments queued.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect LinearIssues, projects, cycles, triage.
- 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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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.
Run this workflow in your colony.
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