QA Automation
A few concrete ways teams fold data validation into their automated quality checks:
- Schema-validating API contracts as a step in CI, not just in manual QA passes.
- Linting and formatting configuration files automatically, so review time goes to logic, not to whitespace.
- Normalising and diffing JSON payloads in end-to-end tests, instead of brittle string comparisons.
- Failing the build on invalid data before it ever reaches deployment, rather than discovering it in production logs.
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