How does AI support API testing?
AI is revolutionising the way we test APIs, making the process faster, smarter and more dependable, says H2K Infosys. Instead of writing all the test cases manually, AI can generate test cases, find high-risk areas and uncover anomalies in API answers before they become big problems. Today, many QA tester teams are witnessing how AI-powered API testing aids in cutting repetitive work while enhancing test coverage. It can also analyse vast amounts of data, identify probable errors, and react to changing API behaviour. As modern apps get increasingly complex, applying AI to API testing allows organisations to provide higher quality software with more certainty and speed.
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