Americans are living in parallel AI universes. For much of the country, AI has come to mean ChatGPT, Google’s AI overviews, and the slop that now clogs social-media feeds. Meanwhile, tech hobbyists ...

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 ...

Deploy AI-managed automations from local runs to production using Trigger.dev monitoring and error handling to reduce workflow failures.

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

Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...

The company has multiple orders from a major hyperscaler as it ramps up its AI processor spending. The electric vehicle capital spending market is expected to return to growth. Wall Street expects ...

Product demos get all the attention, but software development more often involves things like debugging, quality assurance, and testing. It’s the dull but critical work that keeps software running the ...

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 ...

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, ...