Modern Testing: AI, Microservices and Contracts

AI in Software Testing

• Test case generation - LLMs draft cases from user stories; testers review and harden them.
• AI-assisted automation - self-healing locators survive UI renames; visual AI catches layout drift.
• Rule: AI proposes, humans approve. Never merge unreviewed AI tests.

Testing Microservices

• Test each service API in isolation with mocked neighbours.
• Test sagas/event flows across services with contract fixtures.
• Verify resilience: kill a dependency, expect timeouts plus graceful errors, not hangs.

Contract Testing

Consumer-driven contracts (Pact): the consumer publishes what it needs; the provider verifies on every build. Catches breaking API changes without slow E2E suites.

Testing Docker and Kubernetes Apps

• Test the image you ship: same tag in test and prod.
• Probe readiness/liveness endpoints; kill pods and verify self-healing.
• Check configs/secrets come from env, never baked into images.

Shift-Right: Testing in Production

• Canary releases plus feature flags limit blast radius.
• Synthetic monitors replay critical journeys 24x7.
• Observability (logs, metrics, traces) is your production test report.

Key Points

• Contracts replace many E2E tests between services.
• Test resilience, not just sunshine.
• Shift-right catches what staging cannot.