AI & RAG
Recurring-incident investigator agent for engineering leadership
On demand or weekly, an agent searches the postmortem corpus for clusters of similar incidents, identifies which root causes keep recurring.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly or on-demand investigation request
- ActionRun multi-query semantic search over postmortem corpusPostgres
- LogicCluster incidents and discard coincidental matches
- ActionDraft systemic-cause findings with per-incident evidenceOpenAI
- OutputFile Linear issue with proposed fixLinear
What it does
This is an agent-driven investigation rather than a single lookup. It mines your postmortem corpus to find clusters of incidents that share a root cause — the same flaky dependency, the same missing alert, the same config footgun — and reasons about which problems are genuinely recurring versus one-offs. It then writes up the pattern with evidence drawn from each contributing postmortem and files a Linear issue proposing the systemic fix.
When to use it
When leadership wants to stop firefighting symptoms and invest in the underlying fixes. Run it weekly for a standing reliability review, or on demand before planning.
How it works
- 1A schedule or manual request starts the investigator agent.
- 2The agent runs multiple semantic searches over the Postgres postmortem corpus to surface candidate clusters.
- 3It evaluates each cluster, discarding coincidental matches and keeping ones with a shared causal thread.
- 4For each real pattern it drafts a findings summary citing every contributing incident.
- 5It files a Linear issue with the proposed systemic remediation and evidence links.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 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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