Traditional safety protocols weren’t designed for self-improving systems, which raises important questions about validation, ...

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 ...

Build your Java skills from the ground up by working on simple tasks and beginner-friendly projects. Challenge yourself with more complex Java problems, including those focused on multithreading and ...

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 ...

Security tools keep companies’ technology systems safe—but only if they’re working properly. Unfortunately, they may actually give analysts a false sense of security if they’re not performing as ...

The agency’s sweeping rollout and staff challenge underscore rising momentum behind agentic AI: advanced, multiagent systems now fueling early pilots in medical writing, patient engagement and ...

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 ...