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13.3The Layered API Test Strategy
Putting everything together, an AI-powered API test strategy has six layers:
Layer 1: CONTRACT TESTS (Pact)
-- Consumer expectations published to broker
-- Provider verification runs on every PR
-- AI generates and updates contracts from client code
Layer 2: SCHEMA VALIDATION (OpenAPI)
-- AI generates test suite from schema
-- Drift detection runs daily
-- Response shape validation on every endpoint
Layer 3: FUNCTIONAL TESTS (pytest + httpx)
-- AI generates from schema + business rules
-- Human curates for domain correctness
-- Runs on every PR
Layer 4: SEMANTIC FUZZING
-- AI generates contextually meaningful payloads
-- Runs nightly on staging
-- Anomalies triaged by AI, confirmed by human
Layer 5: EVENT-DRIVEN TESTS (Kafka/SQS/EventBridge)
-- Event publication and consumption verification
-- Idempotency and ordering tests
-- Dead letter queue monitoring
Layer 6: LIVING DOCUMENTATION
-- AI agent compares code to docs daily
-- Generates PRs for drift fixes
-- Human reviews and merges
Cost-Benefit by Layer
| Layer | Setup Cost | Maintenance Cost | Bug Detection Value | AI Leverage |
|---|---|---|---|---|
| Contract tests | Medium | Low (auto-updated) | High (integration) | High |
| Schema validation | Low | Very low | Medium (shape) | Very high |
| Functional tests | Medium | Medium | High (logic) | High |
| Semantic fuzzing | Low | Very low | High (security) | Very high |
| Event-driven tests | High | Medium | High (async) | Medium |
| Living docs | Low | Very low | Medium (accuracy) | Very high |