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Agentic AI is revolutionizing API testing by automating complex workflows and improving test coverage. Zac Amos explains how this autonomous technology addresses challenges like manual test creation and incomplete coverage. The article highlights its ability to adapt to schema changes and prioritize tests based on risk factors. Readers will learn to leverage agentic AI for efficient, self-healing test environments. This guide is valuable for developers seeking to integrate AI into their testing processes and reduce maintenance overhead.
Key facts
- Agentic AI autonomously handles multistep API testing tasks with minimal human oversight.
- It achieves up to 100% precision and 90% recall in test scenarios under relaxed conditions.
- AI agents create self-healing tests that adapt to UI or API schema changes automatically.
- They prioritize test cases based on code changes, business activity, and risk analysis.
- Agentic models can simulate security threats and stress-test systems for performance bottlenecks.
TAGS:
#Agentic AI #AI automation #AI in software testing #API testing #automation tools #development workflows #machine learning #quality assurance #security testing #test coverage
