ENGINEERING
Weekly GitLab CI Regression Investigator Agent
A weekly agent pulls GitLab pipeline history, correlates the slowest stage's regression against Honeycomb traces and recent commits, writes a root-cause hypothesis.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled weekly investigation
- ActionPull GitLab pipeline and stage historyGitLab
- ActionCorrelate worst stage with Honeycomb tracesHoneycomb
- LogicForm root-cause hypothesis and pick owner
- OutputFile triaged Linear ticket with hypothesisLinear
What it does
Once a week an agent reviews the trend of CI stage durations, picks the stage that has drifted slowest over the period, and investigates why. It cross-references Honeycomb traces for that stage's jobs and the commits that touched the relevant config or test suite, forms a root-cause hypothesis, and opens a Linear ticket with a suggested owner and fix direction.
When to use it
Use it when you want more than a metric alert: a standing weekly investigation that does the correlation work a human would otherwise do by hand. It is for teams that want regressions diagnosed, not just detected.
How it works
- 1A scheduled weekly trigger starts the agent.
- 2It pulls GitLab pipeline and stage history for the period and identifies the worst-drifting stage.
- 3It queries Honeycomb traces for that stage and inspects recent commits touching its config and tests.
- 4The agent reasons over the evidence to produce a root-cause hypothesis and a likely owner.
- 5It files a triaged Linear ticket with the hypothesis, evidence links, and suggested next step.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect HoneycombDistributed traces and queries.
- 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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Run this workflow in your colony.
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