The intelligence layer your CI pipeline was missing.
SuperPlane is the AI orchestrator that runs between your commit and your infra — making the decisions that YAML files can't.
Skip 70% of your tests without changing a single test file.
SuperPlane reads your commit diff and understands your test dependency graph. It picks the minimal test set that catches regressions for this specific change. On average: 60–70% fewer tests run, same defect catch rate.
No ML setup required — SuperPlane builds its model from your existing test history. Connect a repo, write a policy, and the model activates on your first push.
Describe the env once. SuperPlane handles the rest.
Define it as a SuperPlane policy. Every run gets the right environment — matching the branch, service tier, and target region. No manual terraform plan before each deploy.
SuperPlane reads your policy and provisions the exact variant required — same environment, same config, every time. Staging-prod parity becomes the default, not an aspiration.
Rollout managed by AI. Rollback decided by data.
SuperPlane manages the rollout percentage, watches error rate and latency, and promotes or rolls back based on your configured thresholds. No cron job. No manual Datadog check before bumping to 100%.
When error rate crosses your threshold, SuperPlane rolls back immediately — automatically — and logs the decision with its full rationale in the run log.
# 12 lines. reviewed in PRs. one owner.
version: "1"
ai:
test-selection: enabled
history-window: 30d
environments:
staging: us-east-1
production: us-east-1,eu-west-1
canary:
steps: [5, 25, 50, 100]
rollback-on-error-rate: "0.8%"
watch-latency-p99: true
Your team writes what should happen. SuperPlane figures out how.
Policies live in your repo. They're reviewed in PRs. They're version-controlled. Unlike the YAML sprawl they replace, every SuperPlane policy has an owner.
12 lines of intent. SuperPlane translates that policy into concrete decisions at every pipeline run — test selection, env config, canary thresholds — with no interpretation required from your team.
Every AI decision is logged with its rationale.
Why did SuperPlane skip these tests? Why did it roll back? Every answer is in the run log, linkable and exportable.
| Run | Commit | Tests selected | Env | Rollout | Duration | AI Decision |
|---|---|---|---|---|---|---|
| #2847 | a3f9c2b | 67 / 308 | staging-us-east-1 | rollback at 50% | 18 min | err rate 1.4% > 0.8% |
| #2846 | f1e2d3c | 12 / 308 | staging-us-east-1 | promoted 100% | 9 min | all thresholds clear |
| #2845 | b7a8e9f | 89 / 308 | staging-eu-west-1 | promoted 100% | 22 min | p99 stable, err: 0.0% |
Ready to start