Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

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

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...

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

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, ...

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

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

Botgauge AI, a US-based autonomous software testing startup, has raised $2 million led by Surface Ventures, with participation from IA Seed Ventures and Saka Ventures.

The 13th annual report reveals a 24% income gap between strategic leaders and ICs, while new data shows hands-on AI ...

The start-up, founded by a former top SpaceX engineer, promises to help companies reduce their testing times and optimize ...

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.