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, ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

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

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

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

DeviQA named a leader in G2’s Winter 2026 Testing and QA Providers category, based on verified customer reviews ...

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

China’s push toward large-scale automation is entering a new phase as a major robotics player rolls out a high-profile test ...

Automated testing in game development is increasing in popularity, but still very much a niche discipline. It has proven ...

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.