ENGINEERING
Agent-driven regression triage and root-cause ticket
When a p95 regression is detected post-deploy, an agent investigates across Honeycomb traces, the Postgres plan, and the deploy diff to write a root-cause hypothesis.
How it runs
The automated pipeline, trigger to output.
- TriggerPost-deploy p95 regression signal
- ActionAgent pulls Honeycomb traces and Postgres query planHoneycomb
- ActionAgent reads introducing deploy diff from GitLabGitLab
- LogicAgent synthesizes root-cause hypothesis and fix
- OutputFile Linear ticket with evidence and recommendationLinear
What it does
On a post-deploy p95 regression signal, this workflow hands the investigation to an agent. The agent pulls slow traces from Honeycomb, fetches the current query plan from Postgres, and reads the diff of the introducing deploy from GitLab. It reasons over the three sources — did the change add a join, drop an index hint, widen a scan? — and drafts a root-cause hypothesis with a concrete suggested fix. It files a Linear ticket containing the evidence trail and its recommendation, assigned to the team that owns the changed code path.
When to use it
Use this when raw regression alerts create triage toil and you want a first-pass diagnosis attached before a human picks it up. The agent does the cross-tool legwork so engineers start from a hypothesis rather than a blank alert.
How it works
- 1Post-deploy regression signal triggers the workflow.
- 2Agent pulls slow traces from Honeycomb and the live plan from Postgres.
- 3Agent reads the introducing deploy diff from GitLab.
- 4Agent synthesizes a root-cause hypothesis and suggested fix.
- 5File a Linear ticket with the evidence trail and recommendation.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect GitLabRepos, MRs, pipelines, registry.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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