AI pipeline orchestration · SF 2023

Your pipeline stopped being yours around YAML file number seven.

SuperPlane replaces the sprawl with one AI-managed pipeline — test selection, env provisioning, canary rollout. You own the policy, not the plumbing.

superplane · run log
SUPERPLANE run #2847 · triggered 3s ago · commit a3f9c2b
✔ Selected 12/89 test suites — skipping 77 based on change scope — frontend-e2e (142 tests) · no deps on changed files — load-tests (38 tests) · infrastructure unchanged ✔ auth-unit (47) auth-integration (12) api-contract (8) selected
✔ Provisioned: staging-us-east-1 · 2.1s Region: us-east-1 · tier: standard · branch: feature/auth-refactor
25% traffic · watching error rate err: 0.1% ✓
The toil is measurable

Platform engineers know these numbers.

12+
average YAML config files a platform team maintains per service
34 min
median CI feedback loop for a mid-size microservices monorepo
4 hrs/wk
time platform engineers spend debugging config drift across environments
What SuperPlane does

Three capabilities. One policy file.

No new CI runner. No migration. Just an AI layer between your commit and your existing infra.

ENV PROVISIONING

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.

CANARY ROLLOUT

Rollout managed by AI. Rollback decided by data.

SuperPlane manages rollout percentage, watches error rate and latency, and promotes or rolls back based on your thresholds. No cron job. No manual Datadog check before bumping to 100%.

Before / after

12 YAML files. One policy.

Before: nobody owns it. After: version-controlled, reviewed in a PR.

Before: .github/workflows/ci.yml (excerpt)
# this runs all tests — nobody knows which are needed on: [push, pull_request] orphan trigger jobs: test-all: runs-on: ubuntu-latest steps: - name: run all tests run: npm test nobody owns this - name: deploy staging if: github.ref == 'refs/heads/main' run: ./deploy.sh staging duplicate of line 47 # ...and 11 more files like this across the monorepo
After: superplane.policy.yml
# 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
Architecture

How SuperPlane fits into your stack.

SuperPlane sits between your VCS and your infra. It doesn't replace your CI runner or your cloud — it owns the intelligence layer: what to build, where to build it, and when to ship.

GitHub GitLab push event SuperPlane AI decision layer test select · env · canary Kubernetes EKS / GKE / AKS Terraform env provisioning Datadog observability
From the field

Platform engineers talking about the problem.

We had 47 .yml files across 6 services. Three people touched them. Nobody knew all of them. SuperPlane replaced that whole layer in two weeks.

Staff Platform Engineer, Vaultwave Systems

Test selection alone cut our average pipeline from 28 minutes to 11. We didn't change a single test.

Head of DevEx, Crestline Software

Plugs into your existing stack. No rip-and-replace.

GitHub GitLab Kubernetes Terraform AWS GCP Datadog PagerDuty

Ready when you are

One pipeline. Owned by AI.
Trusted by your team