No mocking. No fake environments. EnGenAI deploys code to actual GKE clusters for testing. If it breaks in production, it breaks in the sandbox first.
Mocked tests pass. Production fails. The classic scenario: your mock returns what you told it to return — not what the real system does.
Mocks execute synchronously. Real systems have network latency, concurrent writes, and transaction lock contention. Your mock never sees any of it.
Mocking auth means mocking your own assumptions. Token expiry during long requests, RBAC enforcement at the database level — invisible to mocked tests.
Timeout thresholds that work in mocks fail under real load. Resource limits that look fine locally hit hard in Kubernetes. Only real infrastructure reveals them.
"A mock that passes is only as good as the assumptions you built it on."
Push code → Docker build → GCR push → ArgoCD sync → Live endpoint ready. Under 5 minutes. Every time.
924 tests across the platform. Every PR runs the full suite — no skipping, no selective execution in CI.
Individual function testing with mocks for external dependencies. Validates business logic in isolation — no network, no database.
API endpoint testing against a real PostgreSQL database. Catches constraint violations, transaction rollbacks, and auth edge cases invisible to unit tests.
Full static analysis across Python (mypy) and TypeScript. Zero errors enforced in CI — a single type error blocks the merge. One caught a real production bug.
Code style enforcement on every pull request. Ruff for Python, ESLint for TypeScript and React. Violations block the PR — no exceptions, no overrides.
We've caught bugs in production-equivalent environments that no mock would have found.
Catch constraint violations, unique key conflicts, and transaction isolation problems that in-memory stores silently swallow.
Catch timeout assumptions that fail under real network conditions. Real retries, real circuit breakers, real latency spikes.
Catch resource limit errors, pod evictions, and readiness probe failures that only appear when containers run under real K8s scheduling.
Catch concurrency issues that only emerge under realistic request patterns. Connection pool exhaustion. Lock contention. Race conditions.
Live testing is one layer. See how every other layer of the platform is secured by design.