KI und Softwarein Manufaktur­qualität —im globalen Maßstab.

release:  needs: [unit, contract, e2e, security]  if: github.ref == 'refs/heads/main'  steps:    - run: k6 run load/checkout.js --threshold 'p(95)<300'    - run: zap-baseline.py -t $STAGING_URL -c zap.conf   # DAST    - run: syft . -o cyclonedx-json > sbom.json          # SBOM    - uses: ./.github/actions/canary-deploy      with: { traffic: 10%, rollback-on: slo-burn }

export class OrderPlaced implements DomainEvent {  readonly type = "order.placed.v1";  constructor(readonly orderId: OrderId, readonly tenant: TenantId,              readonly total: Money, readonly at = Instant.now()) {}} await tx.run(async (db) => {  await orders.save(db, order);  await outbox.append(db, new OrderPlaced(order.id, order.tenant, order.total));}); // atomic: state and event in one transaction

module "shop_cluster" {  source        = "./modules/k8s-cluster"  region        = "eu-central-1"            # EU data residency  node_pools    = { app = 3, ai = 1 }  encryption    = { at_rest = true, kms_key = var.kms_key }  backup_policy = "daily-35d"  tags          = local.compliance_tags}

- alert: CheckoutLatencyHigh  expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket{route="/checkout"}[5m])) > 0.3  for: 10m  labels: { severity: page, team: commerce }  annotations:    summary: "Checkout p95 above 300 ms"    runbook: "docs/runbooks/checkout-latency.md"

@eval_suite(model="assistant-v4", threshold=0.92)def test_product_answers(case):    answer = assistant.ask(case.question, context=catalog.search(case.question))    assert grounded(answer, case.sources)     # no hallucination    assert not contains_pii(answer)           # no personal data    return score(answer, case.expected)