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

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

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 ...

Comprehensive quality engineering and testing are a must for today's software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge ...

Software quality assurance engineers and testers oversee the quality of a piece of software's development over its entire life cycle. Software quality assurance engineers and testers have an eye for ...

Evolve from executor to orchestrator by integrating AI and holistic product insights to accelerate quality in high-stakes engineering environments.

In an age where software drives nearly every aspect of daily life, ensuring its quality at scale has never been more essential. In 2024 alone, global IT spent over $5.1 trillion in expenditures, and ...

Introducing Vibe Testing for the Age of Infinite Code: As Agentic AI transforms software development, TestMu AI introduces autonomous agents to ensure quality keeps pace with infinite code, powering 1 ...