Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Autosana Inc., a startup building an agentic artificial intelligence platform for mobile and web app quality assurance, said ...

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Retell AI Inc., an artificial intelligence voice platform, today announced the addition of a quality assurance solution for voice AI named Retell Assure that monitors calls, surfaces issues and ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern ...

New solution from CRMIT’s AimplifAI Lab automates scalable, human-like testing of Salesforce Agentforce and API-enabled ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...